Innovative Applications of Emerging Technologies ... - PIEMR

Innovative Applications of Emerging Technologies

and MANAGEMENT

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Innovative Applications of Emerging Technologies

and MANAGEMENT

Dr. Jolly Masih Prof. Sadhna Tiwari Dr. Dipti Chauhan

and Prof. Hemant Sharma

Innovative Applications of Emerging Technologies and ManagementDr. Jolly Masih, Prof. Sadhna Tiwari, Dr. Dipti Chauhan and Prof. Hemant Sharma

Copyright © PublisherFirst Published: 2021ISBN: 978-81-947824-0-7

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About Institute

PRESTIGE-where belief blends with persistence…PRESTIGE is more than iust a name for us. We believe that every action of ours

should iustify the name we carry and we carry is with pride of being called PRESTIGE.

We believe in the might and potential of Indian Agriculture Belief has been the single most guiding force in our endeavor for excellence. In 1977, Prestige Group Started with Anima Feed Milling Plant and in 1980-91 ventured into Soybean Processing Solvent Extraction Plant followed by Edible Oil Refining Industries. Since that humble beginning, we have now expanded into diversified areas to become an agribusiness conglomerate in the last four decades with an aggregated processing capacity of about a million tones per annum.

With his belief and vision our founder chairman Dr. N.N. iain identified he potential of agriculture processing and started the first solvent extraction plant in 1980. Since then we have come a long way and diversified into fields like Oil Seeds, Soybean and Edible Oil Processing. Wheat Milling, Food Products, Agri Processing, Feed Products Fabrication and engineering, Commodity trading and education. In last four decades, we have established ourselves an India’s leading export house with presence in more than 40 Countries.

PRESTIGE Group is known worldwide for fair dealings, ethics, quality products and services.

Our vision and name captures the essence of what we are. With Our experienced Human Resource, we want to be know for reliability, responsiveness, innovation and exemplary citizenship.

Our mission is to contribute to the qualitative progress and welfare through the provision of value-added products, services and technology. We strive to provide income generating opportunities and inclusive growth of the farming community, as well an agricultural enterprises.

Prestige Education Society Prestige Education Society is CSR Initiative or Prestige Group of Industries,

existing since last 26 Years. In 1994 Prestige group, as part of its commitment to empowerment of society, decided to establish a management institute to nurture professional leaders and managers. Today Prestige group sponsors world-class management & technical institutes and private schools across central India imparting education to over 10,000 students form Kindergarten to Ph.D. We have come to believe that it is one of the best way to giving back to the society and nation. Under the ambit of Prestige Education Society, Various institutes are catering Higher and Professional education at Various locations in Madhya Pradesh State of India.

Our VisionStrive Continuously for academic excellence by providing best contemporary,

functional education and endeavoring to attain supreme engineering educational excellence, through sincerity of motive and focused efforts.

Our MissionTo prepare student to succeed in information directed and technology-drive

global economy to become global citizens through effective teaching and learning processes with strong practical exposure.

From the Desk of Chairman, ICIAETM’2021

The objective of organizing this conference was providing international platform to innovators to present their applications of innovative emerging technology applications. PIEMR succeeded to achieve this objective.

Speakers were invited from 15 countries, Participants from 17 countries and 200 papers made this conference very important event. This collection of abstracts of papers presented, is ready reckoner for young innovators and researchers. This contribution in knowledge creation is important outcome of this conference. Shortlisted papers will be published in Scopus / ABDC /NAAS rated journals.

This is the beginning and taken ahead for long term in the form of yearly versions of ICIAETM in improved quality of papers and new formats in years to come.

I extend hearty congrats to organizing team and participants of this conference to make it successful.

Dr. Manoj Kumar Deshpande, Chairman, ICIAETM’2021

Director, PIEMR, Indore, India.

Contents

About the Institute v From the Desk of Chairman ICIAETM’2021 vii Summary of Opening Day Ceremony xi Summary of Units xvi Summary of Valedictory Ceremony xxii 1. Unit - 1: Agriculture and Food Technology 1 2. Unit - 2: Emerging Trend and Industry 4.0 Technology 25 3. Unit - 3: Computing, Networking and Communication 51 4. Unit - 4: Infrastructure and Technological Innovation 81 5. Unit - 5: Innovations, Entrepreneurship & Sustainable Development 101 6. Unit - 6: Techno Managerial Business Analytics 131 Brochure of Conference 151 Conference Glimpses (Photographs) 153

Prestige Institute of Engineering Management & Research, Indore (PIEMR) Took a Firm Step Towards Establishing a Foothold in Research

& Development

PIEMR got its name embossed on the global arena in the field of research and development, making a precise headway by organizing the 1st International Conference on “Innovative Applications of Emerging Technologies & Management, 2021 (ICIAETM – 2021)” on the 9th and 10th April, 2021 under the Canopy of Prestige Education Foundation along with the Chief Patronage of Padmashri Awardee Dr. Neminath Jain, the Founder Chairman and other patrons:

1. Dr. Davish Jain, Chairman2. Mr. Dipin Jain, Vice Chairman3. Mr. Himanshu Jain, Director4. Er. Ketan Jain, DirectorA multi-disciplinary conference with 6 major tracks for Engineering, Management

& Agriculture and renowned International Speakers from 15+ countries being invited for this virtual event. High Quality short listed papers will be referred to Scopus Indexed/ ABDC and NAAS rated journals.

PIEMR was privileged to have Dr. Anna Friesel, Professor Technical Univeristy, Denmark as Guest of Honor and Dr. Satyam Priyadarshy, Managing Director, India Centre Halliburton, USA as Chief Guest and Dr. Manojkumar Deshpande, Director PIEMR as the Conference Chairman. The Advisory Committee headed by Dr. Anil Bajpai, CEO, PEF and Dr. Sanjeev Patni, AIC, PIF has renowned Academicians and Scholars.

On the first day of the conference, during the inaugural ceremony, Dr. Davish Jain, Chairman PEF spoke about the “importance of innovation” followed by Dr. Manojkumar Deshpande, Director PIEMR with his speech on “Innovation and industry 4.0”. The Chief guest Dr. Satyam Priyadarshi enlightened everyone on “The need for AVATAR talent in the era of energy transition and industry 4.0 and beyond”

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and the guest of honour, Dr. Anna Friesel delivered her talk about “A vision of the 21st century engineer – engineering education for innovations in technology”

This knowledge gaining inaugural ceremony was followed by technical sessions of track proceedings on the topics of Agriculture and Food Technology, Emerging Trends & Industry 4.0 Technology, Computing, Networking & Communication Technology.

The first day of the conference was full of zeal and enthusiasm and was very well conducted and coordinated by the whole team of PIEMR in spite of the adverse conditions of COVID 19.

Excerpts from the Speech by Dr. Satyam Priyadarshy (Chief Guest)He spoke about Industry 4.0 revolution that will impact all economic activities

and life. While the industries will adapt to and adopt the Industry 4.0 design principles, other disruptive forces will have juxtaposed into the picture, thus, creating an era of DEEP compounded disruption.

He said that the DEEP disruptive forces would be entropic in nature like, Digital Maturity, Energy Transition, Emerging Technologies, and the Pandemic.

Digital maturity grows as one move from digitization to digitalization to digital transformation, and the increased digital maturity is a crucial aspect of Industry 4.0.

The second force, Energy Transition, desires to bring in a mix of energy sources that leaves a Net Zero carbon sustainable environment for our planet. Energy Transition will have an exponential impact not only in the Energy industry but due to a domino effect it will impact all industries and all walks of life.

The third force is the evolution of emerging technologies, such as Big Data, Data Science, Industrial Internet of Things (IIoTs), Robotics, etc.

The last disruptive force, which has impacted the whole world into an uncertain future, the Pandemic caused by COVID-19, and with what we know, this Pandemic is probably not the first one with a high degree of uncertain impact, and many more could follow with similar or even worse impact.

Digital maturity or Digital Transformation will play an essential role in maximizing the positive impact of other forces mentioned in the disruptive forces. However, to generate the exponential value, one needs to tame the impact of the four disruptive forces, for which I believe we need AVATAR talent.

He defined AVATAR talent as the talent that is always versatile, adaptable, transformative, agile, and resilient. The AVATAR talent will be able to develop and deploy solutions that will address blockers emerging from the adoption and integration of fast-evolving emerging technologies, like Automation, Blockchain, Big Data, Cloud Computing, Data Science, Edge computing, IIoTs, Immersive reality, Real-time streaming, Robotics, 5G networks, and others.

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AVATAR talent will continue to evolve and transform as the Energy transition landscape evolves and adapts to future environments due to yet unknown Pandemics.

Thus, AVATAR talent will play a significant role in the next generation of the industry like Energy 4.0, Manufacturing 4.0 and others that mature with Industry principles.

Speech by the H’ble Dr. Anna FrieselShe delivered her talk about “A vision of the 21st century engineer – engineering

education for innovations in technology”

She has given presentations on professional interests and activities, which included enveloping international programs and international collaboration, educational methods in engineering and in general, mathematical modelling, system dynamics and control theory.

She compared Engineering and Engineering education in the past and now.According to her in the 19th century: an engineer’s training was largely limited

to apprenticeships whilst in the 20th century: schools of engineering were developed, after the launch of Sputnik in 1957:

• She emphasized on strengthening research activities in the field of engineering upgrading the scientific and mathematical foundation.

• She said that engineering students should be trained in the following skills:• Team skills, including collaborative & active learning;• The need to communicate well;• To understand the economic, social, environmental impact;• International context of their professional activities;• Stronger collaboration and partnership with the relevant industry;• Development of research activities (R&D);• Enhancing student success efficacy and leadership;• Increasing the scope and development of E-learning and Internet

technologies;• A system perspective.

She spoke about How to enhance students’ innovation skills by: 1. Innovations in technology which require solid knowledge of all parts of

STEM – we need to train engineering students to MASTER basics of STEM2. Innovation in general proficiency which comes from “thinking out of the

box” – We need to give students the freedom to find their own solutions to engineering problems and challenges

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3. Innovation in technology, today and in the future, is a very complex process requiring cooperation of different specialists - we need to train students to work in teams and to work interdisciplinary

She concluded her speech by stating that student should be given following rights:1. Hands-on access to laboratory facilities, do not be afraid they will damage

something. They learn a lot by making mistakes.2. Cooperate with universities all over the world to train students’ international

skills.3. Encourage the students to take responsibility for planning and executing

projects.4. Active participation and discussions develop critical and analytical skills. 5. Allowing the students to work individually and in groups/teams.6. Encourage the students to ask questions and to explore relations between the

theory and practice.7. Be accessible for feedback, comments, and questions

Speech by Dr. Davish Jain SirHe started off by saying that, History of Human civilization is full of stories of

evolution, revolutions and innovation. For comfort, Human Beings keep on changing everything whether it is self- made or naturally made. He said old things are lost to make way for new things and there is only thing that is constant and it is CHANGE.

He shared many examples of tech trivia like, in 2025, 38.6 billion smart devices will be collecting analyzing and sharing data, the web hosting services market to reach revenues as high as 77.8 billion dollars and in 2025, 70% of all tech spending is expected to go for cloud solutions.Global artificial intelligence market is expected to reach a humungous 90 billion dollars.

He said everybody wants to have a better life, full of automation and desires, who outsource all non- core activity.

He further mentioned that In 1763 James Port built a steam engine.Here steam power replaced manual power and 100 years later, there was another industrial revolution, Thomas Edison invented the bulb and Alexander Graham Bell the telephone.

As an old country we missed these to industrial revolutions.This was followed by discovery of electric computers in the United States in 1946 which became the Global Computer revolution in the 60s. Computers came to our country in 1984 with this came the IT revolution.

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He said that everybody wants to have a better life, full of automation and essentially what everyone wants is to delegate. Consequently, there is a massive and continuous evolution, which has a huge influence on manufacturing, sales marketing, distribution, payments business processes, banking and research process of become more streamlined simpler, more efficient and instant.

Artificial intelligence, based forecasting and analytics have become an integral part of every business enabling efficient decision making.As a result, the unit economics has become more affordable, which has helped organizations who take the benefit of economy of scale.

The new technology, digital in particular has deeply impacted the way of life and change in the economy is evident, for example.

He said that H’ble Prime Minister, Narendra Modiji has launched the digital India campaign in 2016.The government has made huge investments and adopted technology in their pursuit to create a flawless system in intervention (invention) and distribution.

He said being an entrepreneur associated with education sector and agribusiness particularly, he has been processing full salaries to the staff of Prestige Education Foundation during the Pandemic period.Our faculty were also present on an online platform, since day one of the lockdown and have created a record of organizing webinars and online teaching.It is due to the hard work and commitment of our team members Prestige Institute of Management and Research that is PIMR Indore,has got the highest rating which is A++ from National Assessment and Accreditation.

He concluded his speech by stating the fact as how these emerging technologies will impact our daily lives and will change the way the government industries and private entities function today, as well as in the coming years.

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Summary of Track 1: Agriculture & Food TechnologyThis Track was based on one of the Key aspects of our country India, and that is

Agriculture, because India is an agricultural country and Agriculture and its allied activities act as main source of livelihood for more than 80% population of rural India. Agriculture is the main stay of India’s economy and Agricultural development is therefore, a precondition of our national prosperity. Hence for this track Keynote speakers were also some of the renowned National & International Researchers & personalities who did some of the ace researches in this field namely Prof. Jonathan Deutsch from Drexel University, USA, Dr. Ashkan Pak Serersht from Swedish University, Prof. Madhu Sharma Director of Institute of Agri Business management, Bikaner India, and Mr. Rtvik Sethia (MD, Dolcas Botanosys Pvt Ltd.). All the Key note speakers delivered expert talk on different technologies in field of Agricultural and Food Technology.

The first among the keynote speakers was Professor Jonathan Deutsch who briefed the audience about the Drexel Food Lab, a culinary innovation and food product research and development lab focused on solving real world food system problems in the areas of sustainability, health promotion, and inclusive dining. Next keynote speaker was Dr. Ashkan Seresht who emphasized on the driving forces behind consumers’ and farmers’ decision making related to the use of agri-food industry. This was followed by the briefing from Dr. Madhu Sharma who delivered expert talk on Agri Business and latest trends in agriculture. The last keynote speaker Mr. Rtvik Sethia enlightened everyone about the herbal ingredients supplied by Dolcas Botanosys. All the Speakers stressed on Food processing techniques.

Technical Session comprising Track Presentations was divided into two Groups: Group A for researchers, Academicians and Industrialists and Group B for students. In Group A around 20 participants presented their presentations on different trends like Modeling Crop Requirement, Honey Green Synthesis, use of Machine Learning in various Oil Production Forecasting and so on covering various innovative researches in the field of Agriculture and Food Technology. In Group B around 5 participants presented their presentations on Impact of Drone Technology on agriculture, Incorporation of Big Data Technology in agriculture. In the international conference researchers were from different university like BIT Mesra, Vellore Institute of Technology, Swami Keshwanand Rajasthan Agricultural University, Institute of Agri Business Management and other colleges from Indore too. At the end Session Chair for the track Dr. Amita Sharma and Co-Session Chair Mr. Rishi Jain appreciated research work and presentations of participants and also guided and motivated them to do more innovative and creative research in the field of Agriculture and Food Technology.

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Summary of Track 2: Emerging Trends & Industry 4.0 TechnologyThe summary captures a two-day programme of presentations, panel discussion

and interactive dialogues at the International Conference which took place on 9th and 10th April 2021 in PIEMR, Indore. Keynote speakers of the session were Prof. Syafrizal Maludin from Indonesian Institute of Sciences, Indonesia, Prof. Harvinder Singh, Program Director in Leaders Institute Brisbane, Australia, Dr. Ebin Deni Raj from IIIT Kottayam, Kerala, India and Dr. K. Govinda from VIT, AP, India.

The featured speakers delivered expert talk on different technologies and delivered the expert talk on Blooms Taxonomy and Technology-Transfer Process as they wanted to give a perspective of the use of a new idea for the Agricultural Community in Indonesia, Application of Emerging Technology of Agriculture System, Artificial Intelligence and Block Chain and types of Block chain technique in Logic Supply Chain acting as a game changer in food industry.

Technical Session comprises of two Groups: Group A for Researchers, Academicians and Industrialists and Group B for Students. Group A brought together 45 participants from all over presenting on different Trends like Artificial Intelligence, Industry 4.0, Machine learning and deep learning ,IOT, IOT in Healthcare, Block Chain, Convolution Neural Network and many more. In Group B almost 48 participants presented their presentation on Different Communication Technology in IOT based Smart Grid System, Survey paper based on COVID 19, IOT, Machine Learning and many more. In the International Conference researchers were from different university like SRM Institute of Science and Technology, Amity Institute of Information Technology from Lucknow, Hindustan Institute of Technology and Science (Chennai), GD Goenka University, GNA University from Phagwara, Mandsaur University, and PIEMR Indore.

The session was chaired by Mr. Sudarshan Verma, CTO, Advanz 101 system Pvt. Ltd., Indore, India and Dr. Aabha Jain, Associate Professor of PIEMR Indore. Concluding expert remarks was given by Mr. Sudarshan Verma about the research papers and the quality of work and the different presentations added value to the session.

Summary of Track 3: Computing, Networking & Communication Technology (April 9, 2021)

The area of computing and communication has grown evidently since the past two decades with wide ranging aspects. Computing includes designing, developing and building hardware and software systems; processing, structuring, and managing various kinds of information; doing scientific research on and with computers; making computer systems behave intelligently; creating and using communications and entertainment media.

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The field of computing includes computer engineering, software engineering, computer science, information systems, information technology, the list is virtually endless and the possibilities are vast. Communication means to share, it is the act of conveying intended meanings from one entity or group to another through the use of mutually understood signs and semiotic rules. It also has wide ranging applied areas which includes Network communication, Security etc. The track provided a platform for researchers to share, to summarize state of the art innovations, to exchange ideas and advances in all aspects of Computing, Networking & Communication Technology. Mr. Ashish Sharma (Executive Director, Novartis, USA) shared his profound knowledge of ML and AI. He discussed applications of ML/AI in different Industries. Prof. Anna Zamansky (University of Haifa, Israel) discussed Animal Centric Computing. Prof. Rajkumar Rajasekaran (VIT, AP, India) presented his view on “IOT communication: Network for Data”. Prof. Vaibhav Neema (IET, DAVV, Indore, India) elucidated IoT(Internet of Things) Edge Computing architecture. He also discussed design challenges associated with Edge computing.

After key note presentations, authors presented their research work under two groups.

Dr. Lakshmi,a Associate Professor in School of Computing at VIT Bhopal and Dr. Piyush Chaudhary, HOD (CS Department), PIEMR, Indore chaired presentation session of Track III group A. Under group A, a total of 16 were scheduled and out of which 14 papers were presented.

Prof. Hemant Sharma, PIEMR, Indore and Prof. Ankit Chopra, PIEMR, Indore chaired presentation session Track III group B. Under group B total 7 were scheduled and out of which 6 papers were presented.

Summary of Track 4: Infrastructure & Technological InnovationThis track was based on some of the building blocks which decides the future

of any developing country, like Mechanical Engineering being one of the integral aspects of technological growth and infrastructural innovation which plays an extremely important role in the society as it creates, improves and protects the environment in which we live by planning and designing the construction and maintenance of buildings and infrastructure of any country. Hence for this track Keynote speakers were also some of the renowned National & International Researchers & personalities who did some of the ace researches in this field namely Dr. Nagendra Sohani from IET, DAVV, Indore, India, Dr. Neelima Satyam from IIT, Indore, India, Dr. S. K Mohamed, Principal Technical Specialist-Simulation and Modeling from Impression Technologies Ltd, UK, and Prof. Olusegun David Samuel from Nigeria. Major thrust of all the Key note speakers was on infrastructure and technological innovation, lean manufacturing, supply chain management,

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environment management, disaster management, bio-fuels, and simulation and modeling in design.

The first among the keynote speakers was Dr. Naendra Sohani who briefed the audience about project planning, erecting and commissioning followed by Supply Chain Management, Lean Manufacturing, Knowledge management, Industrial Safety and Disaster Management. Next keynote speaker was Dr. Neelima Satyam who emphasized on Seismic Microzonation of Mega Cities, Site Effects and Seismic Design of Foundations, Dynamic Soil Structure Interaction Analysis, Liquefaction Studies, Landslide Hazard Assessment and Monitoring, Rock Mechanics and Underground Structures. This was followed by the briefing from Dr. S.K. Mohammed who delivered expert talk on sheet metal forming technologies for automotive and aerospace industries. The last keynote speaker Professor David Samuel focused on Renewable Energy, Computational Fluid Dynamics (CFD), Heat and Mass Transfer, Waste-to-Wealth Projects, IC Engines, alternative fuels, and alternative energy systems.

Overall around 40 participants presented their presentations on different trends like supply chain management, thermal engineering, structural analysis, automobile sector, waste plastics, nano-particles, lean manufacturing, green logistics, and many more. In this international conference researchers were from different universities like IIT Dhanbad, IET DAVV, Medicaps University, Indore, College of Engineering, Trivandrum, Chitkara University, Punjab and PIEMR Indore. Session Chair of this track was Mr. Pradyumna Sharma, Zonal Head Technical Services, JK Cement Ltd, MP & Gujarat, India, and Prof. Dharmesh Barodiya, HOD, Mechanical Engineering, PIEMR, Dr. Raksha Parolkar, HOD, Civil Engineering, PIEMR. At the end of presentations session chair appreciated the research papers and the quality of research work along with the presentations given by the participants and guided and motivated them to do more innovative and creative research in the field of Infrastructure and Technological Innovation.

Summary of Track V: Technological Innovations for Entrepreneurship & Sustainable Development

Keynote speakers of the session were Mrs. Neha Saini from Manage Hyderabad India, Dr. Anil Kumar Head, ME & Coordinator Center for Energy & Environment from Delhi Technological University, Delhi, India, and Mrs.Wided Ragmoun from Qassim University, Saudi Arabia, Mr. Ziv Dubinsky, Head of Innovation and Agrotech at D-MARS, Desert Mars Analog Ramon Station.

Mr. Ziv Dubinsky discussed his product “Notanegg” a perfect egg liquid supplement with the help of oats. Keynote speaker delivered expert talk on different technologies in field of Innovations, Entrepreneurship & Sustainable Development. The session was chaired by Dr. Jay Kumar Jain Associate Professor and Head of

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Department, Computer Science at Sagar Institute of Research and Technology, Bhopal and Dr. Dipali Sarvate Head of Department of Electrical Department at PIEMR, Indore.

Technical Session comprises of two Groups: Group A for Researchers, Academicians and Industrialists and Group B for Students. In Group A almost 16 participants presented their papers on different trends like Women Entrepreneurs: Navigating the effects of COVID-19 in India, Harassment of women: A social ethical issue in technology, A Critical Review on combating power quality issues in Solar Energy System. In Group B almost 8 participants presented their presentation on IOT based Advancement and Innovation in Textile Industries: Review, Survey on Stress Analyzing Devices, and The Effect of Personal Selling on Firm Sales Growth in Insurance Sector. In the International Conference, Researchers were from different university like BIT Mesra, Vellore Institute of Technology, Vellore, Tamilnadu, Swami Keshwanand Rajasthan Agricultural University, Institute of Agri Business Management and other Colleges from Indore too.

At the end, Dr. Jay Kumar and Dr. Dipali Sarvate appreciated research work and presentation of participants and also guided them and motivated them to do more research on field of Innovations, Entrepreneurship & Sustainable Development.

Summary of Track 6: Techno Managerial: Business AnalyticsIn Techno Managerial Track there were National and International dignitaries

who delivered extremely meaningful and contextual talks.The first Keynote speaker was, Prof. Vaibhav Bhamoriya (IIM , Kashipur , India).

He spoke about the importance and need of Techno Managerial Innovations and also emphasized on research work and creativity in Innovation.

The second keynote speaker was Dr. Amit Mittal (Dean & Professor. from Chitkara University ).He spoke about the approach needed to Embracing New Approaches in Marketing and Shifting Sands.

The next keynote speaker was Dr. Worakamol Wisetsri (Associate Professor from King Mongkut’s University of Technology, Thailand). She rendered an expert talk on Reskills and Upskills,the way forward for people to survive through Digital Disruption.

The next keynote speaker was Professor Emeritus Willem Verbeke (Erasmus University, The Netherlands). He spoke on Consumerism Behaviour, Human Behaviour and the responses and social learning in humans.

After the key note presentations, authors presented their research work under two groups.

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Dr. K.K. Sharma (Professor, Chitkara University) along with Ms. Afreen (Assistant Professor PIEMR, Indore) chaired the presentation session of Track VI group A.

Almost 40 participants presented on different topics of Technology Management like Assessment of Consumer Preference and Consumption Pattern of flavoured milk among the consumers in Jaipur city, effectiveness of IMC tools for High Involvement Product Purchase in Context of University Students, Reputation Management in Business Education: A Conceptual Frame work amongst other varied topics.

At the end, Dr. K.K. Sharma and Prof. Afreen Ali appreciated the quality of research conducted by all the participants and inspired them to execute more of such research work in the future.

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Valedictory Ceremony First International Conference on Innovative Application of Emerging

Technologies and Management, (ICIAETM)-2021 organized by PIEMR, Indore on 9th and 10th April 2021 was a grand success on virtual platform which proved to be a meeting ground for the Research Scholars, Academicians, Industrialists and Students. It was an effective platform to share the ideas, knowledge and expert comments.

The Chief Guest of the Valedictory Ceremony was Mr. Bhuvan Damhe (DGM at Larsen & Toubro Limited, Mumbai, India), Visiting Faculty in BITS, Pilani who gave speech on Industry Automation Trends and told about the working style there at L&T and the Industry requirement for the automation.

The guest at the Ceremony was Dr. Anil Bajpayee (Chief Operating Officer, PEF, Indore, India) gave speech on Pedagogical Innovation for Smart Techno Managers. He mentioned in his speech about the automation which took place years back also in telephone industry.

Finally, the conference was addressed by Dr. Manoj Kumar Deshpande (Director, PIEMR) and he highlighted about the conference and gave a brief about its smooth execution and gave light on different courses offered by PIEMR and application of IOT and automation in different Industry and he appreciated all about the successful completion of the conference and theme of the conference was really justified by each and every participant.

The gratitude words with vote of thanks were showered on Chief Guest and the entire person whose contribution added to the value of International Conference by Dr. Jolly Masih (Head Techno-Managerial Research, PIEMR). She shared the story of the first international conference of PIEMR and the partnership of some good Institutes like Chit Kara, VIT Vellore, IIM, and IIIT Kottayam etc. marked a successful completion of the two days conference.

UNIT - 1Agriculture and Food Technology

Soybean Oil Production Forecasting Using Machine Learning and ARIMA Technique

Neha Saini1, Damandeep Kaur2, Dr. Jolly Masih3, Dr. Molshree Rathore4

AbstractSoybean is one the most important crop in India whose production is highly affected by the various weather vagaries like high temperature, unpredictable rains. Soybean oils are widely used in Indian kitchens because of its various health benefits and nutritional values. The production of Soybean has been increasing since last years. In this paper time series analysis namely ARIMA (Autoregressive Integrated Moving Average) methodology which one of the most used Artificial Intelligence and machine learning based forecasting technique is used. The study shows that demand for soybean oil is increasing globally and India has an opportunity to increase its soy oil production in coming years and to capture international markets like China and America.

Keywords: Processing, Forecasting, ARIMA; Artificial Intelligence, Machine Learning

1Birla Institute of Technology, Mesra, India; 2DaDa Analtix Pvt. Ltd., India; 3Prestige Institute of Engineering Management, Indore, India; 4NIPPON, KOEI, India

4 | Innovative Applications of Emerging Technologies and Management

Understanding Health-Foods Consumer Perception using Big Data Analytics

Damandeep Kaur1, Jolly Masih2, Ashok Bhansali3, Megha Sharma4, Dr. Molshree Rathore5

Abstract‘Health-food’ is a health marketing term used for suggesting consumers, the specifically designed healthy diet for high nutrition and body growth. A health-food mainly includes organic food, natural and non-GMO foods, special foods of allergic people like gluten-free, lactose-free and dairy-free products and low fat-high protein keto diet products such as beans, legumes, nuts and seeds. Food consumption patterns of ‘health-foods’ and their preferences are constantly changing all over the world, due to change in urban-lifestyle patterns leading to high stress, anxiety and health related diseases like diabetes and obesity etc. In today’s time “Eating healthy and living healthy” is a most acceptable mantra for living a good life. According to the global health and wellness food market report, it is expected that during 2020- 2024, the size of the health and wellness food market is likely to rise by US$ 235.94, advancing at a CAGR of 6 percent.Organic and gluten-free foods are considered to be on top when talking about the health-foods. There is need to further explore the mindset of consumers regarding health-foods and their consumption, since its benefits looks promising but very little is known about the consumers’ beliefs, motivations and values driving their decision

1Dada Analtix, India; 2Prestige Institute of Engineering Management and Research, Indore, India; 3OP Jindal University, Raigarh, Chhattisgarh, India; 4HNB Garhwal University, Srinagar Garhwal, Uttarakand, India; 5NIPPON, KOEI, India

Innovative Applications of Emerging Technologies and Management | 5

in making the purchase of these foods. In this chapter, by using social media metrics such as Twitter, Facebook, blogs, posts, and reviews that have played a major role in increased sales of health foods, we will primarily concentrate on understanding the public perception regarding organic and gluten-free foods. The chapter will also provide in-depth insights about health-foods in form of positive, negative and neutral sentiments of the consumers using the social media data from Talkwalker and Google Trends. The results of the chapter would show the ‘most talked about’ and anticipated product innovation in health-food sectors such as snacks, fast food (pizza, pasta and noodles) and desserts via social media comments.In addition, this research will also assist health food manufacturers to improve food products according to customer choices and preferences.

Keywords: Organic food, Health food, Talkwalker, Google Trends


To Study the Status and Growth Driver of Food Processing Industry

Neha Saini1, Dr. Roopali Sharma2

AbstractIndian Food processing sector is a key industry in India which is also the second largest producer of food products in the world next to China. The growth in food processing industry will lead to overall development in the economy as it will establish a vital synergy between the two main pillars of agriculture, economy and industry. As India is making a shift in its policy to “Make in India “and numerous schemes and development have opened up for food processing industry. The paper aims to study the status of food processing sector and the key driver which will boost its growth and role in Indian economy.

Keywords: Food Processing, Make in India, Economic Growth, Atmanirbhar Bharat

1,2Department of Management BIT Mesra, Jaipur Campus, India


Modeling Crop Water Requirements and Irrigation Schedules for Some Major Crops in CentralIndia Using CROPWAT– A Case Study

Rewa Bochare1, Poonam Bagora2

AbstractScarcity of water is a global challenge and thus the optimum use of water in irrigation may help the stakeholders deduce efficient policies for water supply. Todetermine water requirement of major crop, a case study of city Indore, located in central India was taken. The Food and Agriculture Organisation (FAO) CROPWAT8.0 software was used to determine crop water requirements and irrigation scheduling for major crops in and around Indore. These were compared to the reference crop evapotranspiration values computed using CROPWAT Penman-Monteith method. The cropping pattern for Spring Wheat, Maize (grain), Sugarcane and Small vegetables was deduced using the CROPWAT software. The reference evapotranspiration values ranged from 3.17 mm/day to 11.77 mm/day. The effective rainfall values varied from a minimum of 3.2 mm to a maximum of 156.8 mm. Also the gross irrigation and net irrigation requirements for spring wheat were found out to be 443.6 mm and 310.5 mm respectively.

Keywords: India, evapotranspiration, CROPWAT, effective rainfall, irrigation scheduling

1Department of Civil Engineering, Prestige Institute of Engineering, Management & Research, Indore, India. 2Department of Civil Engineering, Indore Institute of Science & Technology, Indore


Honey Green Synthesis, Characterization and Study of Mg-Zn Nano Ferrites

Priyanka Tiwari1, Garima Chhajer2

AbstractCurrent study reports that synthesis of Mgx Zn1- x Fe2 O4 (x = 0.0, 0.2, 0.4, 0.6, 0.8, 1.0) spinel nano ferrite, synthesized via sol gel auto combustion method (utilizing honey fuel without post preparation treatment). Uses of AR grade nitrate-citrate precursors. Green synthesis is costeffective, eco-friendly technique using natural fuel. X-ray diffraction was used to monitor structural properties of spinel nano ferrites. XRD validates the single phase formation of nano crystalline spinel ferrites with particle size ranges between 30.9 – 38.4 nm. Different Preparation conditions affect cations distribution (on A, B site), inversion parameter (δ) oxygen parameter (u ). Various XRD parameters confirms that Mg2+ addition modifies experimental lattice parameter (aexp), Mg2+ addition leads to cationic re-distribution, and showing presence of Mg2+ Fe3+ , Zn2+ , ions on A, B site; changes inversion parameter ‘δ’ range between 0.3−0.8. By Using XRD technique Cation distribution of the studied samples was obtained.

Keywords: spinel, Magnesium-zinc ferrite, sol-gel auto-combustion method, Green

1,2Department of Physics, Prestige Institute of Engineering Management and Research, Indore, India


Does Seasonality and Volatility Effects the Price Discovery of Agricultural Commodities: A Review Paper on Indian Commodity Market

Supriya R1, Rajesh Mamilla2

AbstractThe purpose of this study is to understand do seasonality and volatility effects the price discovery of agricultural commodities based on the title few empirical papers have been selected and the researchers as analyzed the data using econometrics tools and techniques specifically they have used generalized autoregression conditional heteroscedasticity (GARCH) and followed by EGARCH to know the movement of volatility and the seasonality which try to effect the agro commodities price discovery. The study discusses the price volatility and seasonality in risk-return conjugated effects on agricultural commodities from spot and futures markets. And also this study found that previous research paper only consider the near month contract of futures and options and they thought it contains more information about the spot and futures market, in certain point they fail to explain the other external force which effects the discovery of price in the commodity market. And in a nutshell, this study says that high price volatility and seasonality effects the price discovery of agri commodities.

Keywords: Seasonality, Volatility, Price discovery, Agricultural commodities, Spot and Futures markets.

1,2VIT Business School Vellore Institute of Technology Vellore, Tamilnadu, India


Impact of Drone Technology in Agriculture: A Critical Review

Prerna Joshi1, Ram Patidar2, Giriraj Singh3

AbstractAfter industry 4.0 revolution, drone technology has became an integrated part of all the industries. This review article is based on the application of drone technology in agriculture sector. The work on this article generally defines the different benefits of drone technology in agriculture and also their application in different areas. In this article, one can easily understand how drone function on the fields with some examples, and how the farmers deal with the water shortages, identify pests . Now a days with the different features of drone like by applying precise camera farmers can easily identify the above and manage the crops. For different agricultural applications, there is an smart/intelligent farming techniques like UAVs technique i.e., Unmanned aerial vehicles. The UAVs technique is a mixture of both communication and artificial intelligence, information technologyrobots, big data and the internet of things. The article concludes by suggesting that if farmers wants to improved their agricultural results than they should work more with drone technology [1].

Keywords: Drone, Agriculture technology, Unmanned Aerial Vehicles (UAVs), Farmers, Crops

1,2,3Prestige Institute of Engineering Management and Research, Indore, MP, India


Effect on Rural Population for Dissemination of Agricultural Information by Means of

Social Media Marketing

Dr. Arshad Ayyub 1

AbstractThere are two types of marketing schemes that are prevalent among the farmers or the agriculture sector as a whole. The first one is the most opted, the dynamic and exclusive Commercial marketing scheme, that takes the route of the mass media through a commercial approach. This approach primarily focuses on the financial aspect of the promotion and the marketing under a pre decided budged that would help the farmers and the agriculture based community identify and consume or buy the product. The product is highlighted with its product value and usefulness to the customers in a commercial sense. The word Social marketing is altogether different in a sense that it does not involve the glamour and the hype that is being created in the commercial marketing schemes, while subtly informing the potential user about the use and the necessity of the product that may be of a great importance to them and may assist them in upgrade their livelihood through community or social assistance. The most useful part of the social marketing scheme is that it does have two way cutting edge to the term, out of which one is the social segment that may be attached along with so as to uplift and support

1 Vikrant Institute of Technology and Management, Indore, India


the farmers or the person involved in the agriculture industry while the other is the marketing that is being done along with. One thing is beyond doubt that the advantages in the Social Marketing segment abounds but with the necessary cooperation and guidance from the private and public sector, only then the beneficiary, the farmers, would be benefited by the social marketing schemes.

Keyword: Social Marketing , Farmer, Awareness Level


Survey on UAV Based Aerial Imaging

Prakhar Verma1, Kartik Verma2, Aayushi Parsediya3, Rohit Upadhyay4

AbstractNow days, aerial vehicles are playing an important role in modern technologies. UAVs are one of most popular multi-dimensional technologies. It becomes more popular through its compact design and low cost compared to a normal crewed aircraft. Surveillance became easy through this technology. Aerial vehicles are initiating in every field. In this paper, we have surveyed about the various applications of an unmanned aerial vehicle which is making a different impact on the humans and their life. Through this technology we can help to the traffic managements to analyze and manage the traffic in a different and systematic manner, as the technology is involving in the agriculture field and UAVs can also help in monitoring of crop in the field, and various applications are discussing in the paper. This paper helps in understanding the general way of working of an UAV. And introduce the use of aerial vehicle in agriculture, transportation, post-disaster assessment and in civilian applications.

Keywords: Aerial imaging, UAVs, Aerial vehicle, Drone.

1,2,3,4Prestige institute of Engineering Management and Research (PIEMR) Indore, India


Chemical Routes Synthesis of Nanostructures of Silicon and Zinc Oxide Nanorod

Neha Jadon1, Tirumala Rao2, R. Kaul3

AbstractIn the present work, Different types of method can be used for growth of ZnO nanorod. It is grown on glass and silicon substrates were using seed mediated growth process and produced variety of nanostructure shapes. ZnO is an important catalyst due to its wide band. Nanorods were grown on substrate using the hydrothermal method. The Hydrothermal method has been widely used to grow Zinc oxide nanorod. The various application of ZnO nanorod, arises due to good electron transport collecting layer, high electron mobility. Preparation of seeds was exposed using 3 different methods are spin coating, dip coating, and drop coating. The nanorod was uniformly formed and these substrates were used for the photocatalytic dye degradation application. Silicon nanowire and nano porous substrates were grown using MACE process. Silicon nanowire were grown using silver nanoparticles, assisted MACE in which chemical roots are silver nanoparticles. As discussed in the earlier chapters, nanowire, nanorod, and nanoporous has received have a great importance and its application has been also been discussed.

Keywords: Nanorod, Hydrothermal, SEM, Absorbance

1Prestige institute of Engineering Management and Research (PIEMR) Indore, India


Bloom Taxonomy on Technology – Transfer on Agriculture in Indonesia

Deden Kurniawan1, Syafrizal Maludin2

Abstract One of the problems in the agricultural sector in Indonesia is the increasing proportion of old farmers compared to young farmers. On the other hand, technological developments are expected to stimulate the younger generation to enter the agricultural sector. The problem that is still being faced besides the communication-information infrastructure in agricultural areas that is still not supportive is the preparation of agricultural human resources who are able and willing to switch to new technology. This paper provides an alternative solution regarding the process of transferring technology 4.0 to the Government Research and Development Institute for agricultural actors through the Bloom Taxonomy approach. In accordance with the development of behavior, it is necessary for prospective users who are unfamiliar with new technology to gain ownership of change. This process will make sustainable use of technological innovation.

Keywords: agriculture, agricultural human resources, bloom taxonomy, technology transfer, technology 4.0

1Universitas Mercu Buana, Indonesia; 2Research Center for Policy and Management of Science Technology and Innovation, Indonesian Institute of Sciences


Malnutrition, A Crisis in India – Current Scenario of Acute Malnutrition in Children Below 5 years and Strategies to Boost the

Combat Against Malnutrition

Molshree Rathore1, Damandeep Kaur2, Jolly Masih3

AbstractAdequate nutrition is an important part for human development. Child malnutrition is a major national and international public health problem with consequences for both individuals and society. The data from National Family Health Survey 5 (NFHS 5) which was collected in the second half of 2019 covering 17 states and 5 Union Territories depicts that between 2015 and 2019, several states have witnessed increase in the cases of child malnutrition. According to the Global Nutrition Report 2020, India is set to have highest inequalities in malnutrition among 88 countries and it will miss the global nutrition targets by 2025. India has 94th rank amongst 107 countries in the Global Hunger Index 2020 and lies in the ‘Serious’ category. The economic crisis that has resulted due to Covid-19 is also one of the reasons of the increase in death rate of children specially in economically backward states and rural areas. Hence, to boost the combat against malnutrition and to break the lifelong and life- threatening cycle of malnutrition a three-pronged strategy is suggested. Keywords: Weight Monitoring, Malnutrition Treatment Centre (MTC), vaccination, nutritious food, age appropriate, Poshan Abhiyaan.

1National Nutrition Consultant and Co-Convenor Indian Dietetics Association, Rajasthan Chapter, 2DaDa Analtix Pvt Ltd, India, 3Prestige Institute of Engineering Management, Indore, India


India’s Trade Integration with Top Mushroom Exporting Countries: A Pragmatic Analysis by

a Panel Dynamic Gravity Model

Suresh Chandra Sharma1, Dr. Amita Sharma2, Dr. R. P. Singh3

AbstractMushroom market has expanded both horizontally and vertically all over the globe, it means the expansion has been in production and addition of newer types of mushrooms for commercial cultivation of edible mushrooms. The global market for edible fungi is expected to expand from 2019 to 2024 and reach a market value of USD 37.46 billion by the end of 2024. At present, the total mushroom production in India is approximately 0.13 million tons. From 2010-2017, the mushroom industry in India has registered an average growth rate of 4.3% per annum. The global mushroom industry has grown rapidly in recent years highest growth seen in dried form of mushroom followed by canned, fresh and frozen mushroom. China is on top with 74.11 % share in global mushroom production from last 10 years and India is far behind with only 0.68 % share of global production. India producing 73 % button mushroom, 16 % oyster, 7% paddy, 3 % milky and 1% other mushrooms. In 2018-19 Haryana has highest production in India followed by Odessa, Maharashtra and HP. Mushroom cultivation is a profitable business with B:C ratio 1:1.6 and has scope for start-up or entrepreneurship. There is huge opportunity in export of mushroom, India export mushroom

1,2,3Institute of Agri Business Management, Swami Keshwanand Rajasthan Agriculture University, Beechwal, Bikaner, Rajasthan, India


to USA, Germany, France, Israel and other many countries and Delhi has highest share in export. Gravity model suggested that India export only those countries which have high GDP whereas distance is not the barrier of high cost in trade. High unemployment rate and 50% plant and food waste created opportunity to generate employment. Processed mushrooms and value added products in blended form give the essence of tradition, nutrition and taste.

Keywords: Edible Mushroom, Gravity model, Value edition, Employment, Entrepreneurship


Dragon Fruit: A Promising Crop with a Growing Food Market that can Provide

Profitable Returns to Farmers

Suresh Chandra Sharma1, Dr. Amita Sharma2, Dr. Ramesh Mittal3

AbstractThe dragon fruit market is growing worldwide, due to the increasing demand for fresh and processed dragon fruit. High production capabilities and magnificent weather conditions contribute to the production of dragon fruits. Dragon fruit is the leading fruit export of Vietnam. The most important export destinations of these fruits are China, Thailand and Indonesia. The fruit has also entered new markets, including India, New Zealand and Australia, and Chile. Dragon fruit contains a lot of water and is a great source of iron, magnesium, vitamin B, phosphorus, protein, calcium and fiber. The fruit’s edible seeds are also very nutritious, as they are high in polyunsaturated fats, like omega-3 and omega-6 fatty acids, which have been proved to lower the risk of cardiovascular disorders. Dragon fruit cultivation in recent years and domestic cultivation is getting encouragement because of the high advantages. The total All India area of Dragon Fruit cultivation has the scope to expand further – currently it is grown in 100 acres approximately. Dragon Fruit has the ability to tolerate the climatic conditions of India. Big data analytics with the help of Goole Trends and Talkwaker revealed that health-conscious consumers are increasingly demanding dragon fruit, especially in

1,2Institute of Agri Business Management, Swami Keshwanand Rajasthan Agriculture University, Beechwal, Bikaner -334006, Rajasthan 3National Institute of Agricultural Marketing, Jaipur, Rajasthan


the United States. Dragon fruit is available in the United States year-round, however, is also imported from a few different countries. As the dragon fruit is considered a specialty product, the MRL (Maximum Residue Level) laws for dragon fruit in various countries are very different compared to traditional products like apples or cherries .Another advantage is that commercially one can expect returns 2nd or 3rd year after planting. Not many business ventures start giving returns so early because cost benefit ratio ranges between 1.75 - 1.86. Processing is important to produce value-added products from the edible and non-edible parts of the fruit and plant, and at the same time, minimize the problems of fruit perishability and waste disposal. Market expansion and management need to have fruits that are consistent in terms of quality and in quantities to meet the market demand. Consistency in quality bring to the forefront the need to improve aspects of harvest maturity, handling and packing that minimizes mechanical injury and ensure a safe and optimum storage and shipping environment.

Keywords: Dragon fruit, production, market expansion, processing, quality


Coders Hub Machine Learning Education Platform

Hardik Vagrecha1, Aman Singh Mandloi2, Akshit Tuteja3, Abhisar Dube4, Prof. Swapnil Soner5

AbstractCoders Hub Machine Learning (ML) Education (Edu.) Platform is a digital repository system for learning the most trending technology/ field - Machine Learning. A properly dimensioned ML repository has the potential to increase the interest of students in learning latest technologies. It is an ML integrated website where students can learn different machine learning algorithms, visualize them and can even get hands-on experience on some of the models. The main objective of the study is to develop a web-based digital repository for Machine learning algorithms combined with application models of machine learning for better learning. It has various models integrated in it like handwritten digit recognition system, Sentiment Analyzer and many more. One of the models is of Facial Detection. We have used Caffe Model of the DNN Module for facial detection. Unlike other facial detection models, it not only detects the person’s front face but also detect the side face accurately. It gives very fast fps compared to other models.

Keywords: Digital Repository System, Machine Learning, Facial Detection, Caffe Model

1,2,3,4,5Information Technology Medi-Caps University Indore, India


Incorporation of Multiple Big Data Technology in Agriculture for Better Future

Shikha Shukla1, Achira Porwal2, Nancy Singh Baghel3, Viharsh Jain4

AbstractThe agriculture sector is also rising along with big data which is fueled development of multiple smart and portable sensors. These sensors range from temperature, soil moisture and humidity sensors collection of data is important for its analysis. Big data is characterized into five dimensions called volume, velocity, variety, veracity and value. The growth in big data is a recent phenomenon not only in area of information technology but also other sector. It has shown its application in remote sensing, smart farming, (IoT), automation of supply chain and farm decision making. This study aims to identify multiple big data technology that can be incorporated in agriculture sector for better crop and productivity. By the year 2025, nearby 41.6 billion connected IOT device and generating 79.4 Zettabytes of data.

Keywords: Big Data, Internet of Things, Smart Agriculture, Data Analytics

1,2,3,4Prestige Institute of Engineering Management & Research, Indore, India


Comparative Study for Classification Algorithms for Banking Sector

Jasleen Dutta1, Achira Porwal2, Dipti Chauhan3

Abstract Advancements in data and correspondence innovation set up instalment assortment advances like Charge and Mastercard frameworks at the level where their quick entrance in business market have prompted a consistently bigger portion of the world instalment framework and prompting a higher rate advances applied from banks. Improved credit application innovation hence has gotten fundamental to keep up the reasonability of the instalment framework, particularly for internet business. Such huge developments in data sets, improvements and quota security structures urgently require new strategies and equipment that can ingeniously and naturally transform ideas into useful data and insights. Recently, data mining (DM) can be said to have become the main equipment for deleting and managing information and creating structures that provide data useful for dynamics. This document contains three key information extraction strategies. Use Weka working data set to calculate J48 classifier, Naive Bayes and One-R to obtain characterization response, used for approved loans. Closer to the main description, these classifiers are explained in different boundaries and support Internet business organizations in choosing ideal grouping calculations.

Keyword: Data mining, classification, Naïve Bayes, J48, OneR, weka, bank datasets.

1,2,3Prestige Institute of Engineering Management & Research, Indore, India

UNIT - 2Emerging Trends & Industry 4.0 Technology


Correlative Study of Machine Learning and Deep Learning Algorithm with its Recent

Computational Techniques

Dhaniya R. D.1, Dr. Umamaheswari K. M.2

AbstractIn driving the medical image research machine learning and deep learning algorithms are growing expeditiously. The earlier prediction of disease needs substantial attempts to diagnose the disease. The machine learning algorithm confesses the software application to study from the data and predicts more accurate outcomes. The deep learning algorithm drives on extensive dataset relays on high end machines and clarifies the problem end to end. The primary focus of the survey is to high-spots the machine and deep learning approaches in medical image analysis that endorses the decision-making practices. The paper provides a plan for the researchers to perceive the extant schemes carried out for medical imaging with its recognition and hindrances of the machine and deep learning algorithm.

Keywords: Machine Learning, Deep Learning, Image Analysis, Medical, Prediction, Data

1 Department of Computer Science and Engineering, SRM Institute of Science and Technology Kattankulathur, Chennai, India 2 Department of Computer Science and Engineering, SRM Institute of Science and Technology Kattankulathur, Chennai, India


An Image Encryption Technique Based on Logistic Map

Amnesh Goel1, Dr. Rakesh K. Bhujade2

AbstractPhotos make an undue contribution to discourse in this era of multimedia. When a user transfers a photo via an unsecured data network, absolute protection is a risk to protect the confidentiality of pictures. Encryption is a means to secure the security of photos. Protection is one of the most important areas of computing. In the exchange of data, security must be considered as one of the methods used to ensure the secure transfer of data. Logistic map is used in many image encryption techniques and in this paper, we are proposing to use Logistic map to not only encrypt the pixel values but also to shuffle the pixels in the image. This proposed prototype does not have any complexities of dividing the image into multiple parts and then stitching them back together as there are many disadvantages of block encryption techniques.

Keywords: Image Encryption, Image security, Logistic Map, pixel encryption, data transfer, chaotic maps etc.

1Ph.D. Research Scholar, Department of Computer Science and Engineering, Mandsaur University, Mandsaur, MP 458001, India 2Ph.D. Research Scholar, Department of Computer Science and Engineering, Mandsaur University, Mandsaur, MP 458001, India


Explainable Artificial Intelligence: Making AI Trustworthy

Pritika Bahad1, Mamta Punjabi2, Dipti Chauhan3

AbstractMachine learning has become a key technology in recent years. Dramatic success in machine learning has led to an outburst of artificial intelligence (AI) applications. Researchers have developed new AI capabilities for a large variety of tasks. Continuous advancement promises to develop systems that will understand, discover, and operate on their own. On the other hand, the effectiveness of these systems is limited by the machine’s inability to explain its actions to human users. In many applications, especially in the medical domain, such a lack of transparency may be not acceptable. This gives rise to explainable artificial intelligence. Explainable AI is crucial as users want to understand, trust, and effectively deal with artificial intelligent systems. The paper presents recent studies and principles of explainable AI. Further, the paper compares competitive explainable AI frameworks of deep learning models namely Local Interpretable Model-agnostic Explanations (LIME), Deep Learning Important features (DeepLIFT) and Shapely Additive Explanations (SHAP).

Keywords: Artificial Intelligence, Machine Learning, Explainable AI, Deep Learning

1,2,3Department of Computer Science and Engineering, Prestige Institute of Engineering Management and Research, Indore, India


Personalized Web Search: A Review

Shipra Kataria1, Usha Batra2

AbstractThe continuous evolution of the web has opened several opportunities and challenges in web-based learning. The exponential growth of web 3.0 with its pervasive accessibility and ease of use has increased users’ dependencies on the web for quick search and retrieval of information. Recently, personalization has been introduced in web searches to tailor users’ information more precisely. A Personalized search system retrieves information considering users’ interests. To achieve the purpose, the system should conjointly incorporate efficient techniques for pre-processing, user profiling, query expansion, and re-ranking. Although a lot of research has been done in each of these stages, very few have covered these stages together in their work. This paper is representing a more detailed comparative review of Personalized Web Search related to all four stages. Further, this research also represents how we can improvise the efficiency of Personalized Web Search.

Keywords: Web Personalization, Pre-processing, User Profiling, Query Expansion, Re-Ranking, Web Caching, Web Prefetching

1,2 Department of Computer Science and Engineering GD Goenka University Gurugram 122001, India


Soil Moisture Sensor Using for Smart Irrigation System

Vaidehi Verma1, Mamta Punjabi2

AbstractIn this world green food plays a major role for every living being. To feed an empty stomach a farmer plays a vital role to grow green and healthy food. In this developing world IoT plays a vital role in technology and computer development. India is a country of agriculture and farmers. About 70% of the total population depends on agriculture for their sustenance and is a major source of earning. Because of IoT development there are so many applications of it like smart cities, smart rooms and one of the major applications that is under development is SI. A SI is a concept helpful to farmers as well as economic growth of a country. A SI is the application of controlling the level of water to the soil according to plants needs and is more feasible economically. Generally, farmers depend on monsoon for water to irrigate their crops but by using this technology farmers will control this level smartly from anywhere across the globe. After use of SI, a farmer doesn’t have to wake up early to see the water level of his/her irrigation field. The objective of this paper is to explain the needs of SI in our day to day farmer life. We are implementing this Smart irrigation system by using the concept of IOT which is sometimes referred to as ‘INTERNET OF EVERYTHING’. The IOT enables us to connect multiple devices including sensors, computers, mobile phones and many more within a connection. IoT makes v14 virtually everything smart. Here sensors are the vital components that collect the data/information from the surrounding and process that data. IoT works with sensors/devices, connectivity, data processing and user interface.

Keywords: Internet of Things, Temperature, Smart Irrigation1 Assistant Prof. Dept. of Computer Sci. & Engineering, Dayanand Sagar University, Bangalore, India 2 Prestige Institute of Engineering Management & Research, Indore


Changing Face of the Apparel Industry by Incorporating Industry 4.0 and

Paving Way for Industry 5.0

Twinkle Bedi1, Nidhi Gautam2, Vijay Rana3

AbstractThe COVID-19 pandemic has hampered the economy of the entire world. One of the deeply affected units was the apparel industry, which was worth almost 1.4 trillion U.S dollars. With social distancing, panic and fear in the minds of everyone, it became apparent that digitization brought about by Industry 4.0, is the new normal. The evolution of all the five Industrial Revolutions is discussed in this paper. It also highlights how the apparel industry has incorporated emergent technologies of Industry 4.0 like Artificial Intelligence, Blockchain, 3D-Printing, Cloud computing and Data Analytics in its manufacturing and marketing units. The impact of the pandemic has made the stakeholders of all businesses to halt, ponder and progress towards a new horizon for sustainability. The challenges of Industry 4.0, how and why the transition of the apparel industry from Industry 4.0 to Industry 5.0 took place is highlighted in this paper. This article represents a theoretical aspect and proposes a novel foundation for incorporating Industry 6.0 in the wake of the pandemic.

Keywords: Artificial Intelligence, Blockchain, 3D-Printing, Cloud computing, Data Analytics, IoT, Industry 4.0, Industry 5.0, Industry 6.0

1Dr. SSBUICET, 2Panjab University Chandigarh, India 3GNA University, Phagwara, Punjab, India


Edge Computing for Smart Healthcare Facilities

Dr. Nidhi Srivastava

AbstractThere has been tremendous growth in information technology in the last few years. With the advent of Internet of Things (IoT) many devices are interconnected and each of these devices generates huge amounts of data. These devices are used to maintain the health of the people by monitoring their daily activities with the help of wearable devices. Further the massive amount of data collected through these devices is processed with the help of cloud computing which helps in analyzing the data and making predictions. However, accessing the cloud repeatedly increases the latency and also increases the network traffic. Edge computing can be of great assistance in this. The collection of data and daily monitoring can be done at the edge nodes to reduce the latency and network traffic. The processing power of the edge nodes are however not so powerful so small computations can be done at edge and for higher computations cloud can be accessed. This can be of great help to patients in emergency. This paper explains the concept of edge computing, its benefits and challenges and analyzes the usefulness of edge computing in healthcare facilities.

Keyword: Cloud computing; Edge computing; Deep learning; Healthcare

Amity Institute of Information Technology, Amity University, Lucknow


Real Time Facial Emotion Recognition Using Convolutional Neural Network

Meet Singh Chouhan1, SnehaVishwakarma2, Abhinay Sharma3, Pritika Bahad4

AbstractAutomatic facial emotion recognition is an active research topic in computer vision. It has applications in various fields such as healthcare, marketing, security services, criminal investigation and Human Robot Interface (HRI). The paper presents a deep learning model for face emotion recognition. Haar feature-based cascade classifier is used to detect faces from input video. The model classifies the emotions of humans as happy, neutral, angry, sad, and surprised in real time using the Convolution Neural Network. The model performance is evaluated using accuracy metric. Adam optimizer is used to improvise model accuracy as it updates neural network weights iteratively based on training data.

Keywords: Facial Emotion recognition (FER), Computer Vision (CV), Machine Learning (ML), Deep Learning (DL), Convolutional Neural Networks (CNN)

1, 2, 3,4 Department of Computer Science and Engineering, Prestige Institute of Engineering Management and Research, Indore, India


1, 2Sagar Institute of Research & Technology, Bhopal, India

3Department of Computer Science and Engineering, Prestige Institute of Engineering Management and Research, Indore, India

Internet of Things Secured House using Machine Learning

Jay Kumar Jain1, Palash Jain2, Dipti Chauhan3

AbstractDue Now a day’s home security has become an important issue in real world. Although there are good quality security systems available, there is scope for improvement in the area of cost effectiveness and utility features. Current advances in the field of internet–of-things (IOT) including machine learning can bring about improvements in the home security systems. The main input in this project is from infrared (IR) sensor also other indoor sensors like fire, gas, level sensors and it is fully controlled by microcontroller embedded on NodeMCU board while the output is buzzer to startle the theft and also alert the neighbours around and lastly Android application communicating through MQTT server to the hardware components accessed by admin to monitor the activity around house without physical presence. We propose a multi featured intrusion and hazard detection alarm system using IOT and object detection.

Keywords: Internet of Things, Object Detection, Machine Learning, YOLO, Tensor flow.


Smart Public Toilet Using IOT

Dr. Aabha Jain1, Shubh Jyoti Singh2, Shivan Qureshi2, Jayati Sadaiya2

AbstractThe objective of this work is to develop sustainable smart public toilets in order to maintain hygiene along with cleanliness. Under the aegis of Swachh Bharat, Government of India developed public toilets all over the country. But keeping the public toilets uncontaminated is the challenging issue. Looking towards this issue, this work provides the solution with minimal manpower involvement. Sensors based wireless modules for communication enable to digitally record how many people have used the toilet since it was last cleaned, what is the status of water in overhead tank, septic tank clearance time and whether the trash cans already need to be emptied etc. In short: signal-based cleaning. Even better: with digital recording of the measurements means that we can analyse the historical data, in order to discover trends, like how many tankers of water needed in a particular area at a particular season. In the future when the whole city is covered with Wi-Fi facilities, this work can be centrally coordinated for public toilets of a zone. Also, developing the android app for real time monitoring and sending periodic status of maintenance to the server is possible.

Keywords: Figaro gas sensor, Ultrasonic water flow sensor, IR sensor, Electrodes, Ultrasonic sensor, GSM module.

1Associate Professor, Department of Electronics and Communication Engineering, Prestige Institute of Engineering Management and Research, Indore (M.P), India 2Students, Department of Electronics and Communication Engineering, Prestige Institute of Engineering Management and Research, Indore (M.P), India


Convolutional Neural Network and Transfer Learning Based Fruit Classification

Rupali Pathak1, Dr. Hemant Makwana2

AbstractAutomatic classification of fruit freshness plays a significant role in the agriculture industry. In the Traditional method, fruit quality is evaluated by humans. This method of manual detection of the spoilage of fruit is slow, laborious, inconsistent, easily influenced by surroundings and time consuming. As a result, fast, accurate, and automatic methods need to be introduced to industrial applications. Thus the project proposes a Deep learning method for fresh and rotten fruit classification. The Convolution Neural Network (CNN) model is evaluated with public datasets of fruits fresh and rotten for classification derived from Kaggle. The current work uses three types of fruits including Apple, banana and oranges. A deep learning based Convolutional Neural Network is used to extract the features from the given fruit images and a Softmax Function is used to classify the input images into “fresh” and “rotten” categories. The Performance of the proposed system is evaluated on the dataset and an accuracy of 98.23% is achieved. The result demonstrated that the proposed Convolutional Neural Network system can successfully classify the fresh and rotten fruit. Transfer Learning methods were examined for the classification of fruits in the fresh and rotten category. The performance of the Convolutional Neural Network system outshines the transfer learning models.

Keywords: CNN, Agriculture, Transfer-Learning models

1Assistant Professor, Prestige Institute of Engineering Management & Research, Indore 2Associate Professor, IET DAVV, Indore


Arduino Based Home Automation Using Bluetooth Module

Mansi Gaharwar1, Priyam Gour2, Sarita Vijayvargiya3

Abstract In the time of energy preservation, we are draining a monstrous measure of natural resources in the energy age. In our regular daily existence, we face an energy shortage, which is a huge issue today. A vast extent of the energy is right now squandered when apparatuses, for example, fans and bulbs, are left unplugged in the houses. Further, on account of older and truly handicapped individuals, the switches are out of their compass. Hence, home automation carries an extraordinary arrangement to relieve these issues. In this work, we have proposed a modest system utilizing Arduino UNO as a microcontroller interfaced with Bluetooth, which decreases the actual work and permits remote control of different apparatuses introduced in-house through cell phones’ specific distance. The exchange of operating orders between the mobile phone and Bluetooth module is finished utilizing a Graphical User Interface (GUI) application. The last objectives of a home computerization framework are to furnish a family with different administrations and applications to make everyday life comfortable, convenient, enjoyable, and secure.

Keywords: GUI, Bluetooth, Aurdino UNO.

1Student Department of Electrical Engineering, PIEMR, Indore, India 2Postgraduate Student UCW, Vancouver, Canada 3Asst. Prof, Department of Electrical Engineering PIEMR, Indore, India


Comparison of Different Communication Technology in IOT based Smart Grid System

Ms. Yamini Nimonkar1, Dr. Dipali Sarvate2, Mr. Aayush Patidar3, Dr. V. K. Sharma4

AbstractSmart grid is a new approach towards Electricity generation and management in advance to control digital communication to an exciting power grid. In a smart grid system there are two ways communication is possible which provides a sustainable energy system. IOT based grids are having many challenges on how to use power efficiently in available resources with necessary security systems. My real time approach met the energy requirement of this generation which needed smart grid solutions. In this paper we are discussing the different communication technologies used in IOT based smart grid for communications and their comparison. We compare wireless and wired communication techniques, IOT based grid application, network issues and challenges.

Keyword: Smart grid, Communication technologies, IOT

1 Asst. Prof, PIEMR, Indore 2 HoD, EE, PIEMR, Indore 3 Asst. Prof, PIEMR, Indore 4 Vice Chancellor, Bhagwant University, Ajmer


Product Recommendation System Using Weighted Factors and Sentiment Analysis

Rajeev Raghuvanshi1, Md Ilyas2, Surbhi Sharma3

Abstract Web mining is a subject of data mining for discovering patterns and knowledge from web data. In web mining web server access logs, page contents, and the application structures are used with data mining algorithms. In this paper, we introduce a web recommendation system to recommend relevant products to the end-users for the e-commerce platform. This technique enables us to recommend products to users even when the navigational patterns are not available on the access log. The approach describes seller and buyer’s behavior. Thus using web mining and real-world scenarios systems suggest the products to the users. In this context, sentiment analysis is also used. In order to develop this approach frequent pattern mining, and clustering algorithm is used. Additionally, the rating and reviews of the product are used for finding appropriate products for user. In order to recommend products, a weighted method has been used to combine different factors. The simulation of this approach has been developed using JAVA and experiments were carried out. The results demonstrate the acceptable performance of the system.

Keywords: web usage mining, web content mining, product recommendation system, frequent pattern mining, clustering, k-means algorithm.

1,2,3 Computer Science & Engineering, Prestige Institute of Engineering Management & Research, Indore, M.P., India


Time & Cost Tradeoff for Software Project Management

Dipti Chauhan1, Jay Kumar Jain2, Pritika Bahad3, Mamta Punjabi4

AbstractSoftware Engineering plays a vital role in the development of any project as it covers all the aspects of development. It is very much required to maintain a Time Cost tradeoff for software development and is highly recommendable in all the steps in SDLC. In the current situation where most of the projects are facing time bound issues in their completion due to which there is a very high project suspension rate. Crashing is a technique used to overcome the time schedule optimization for a project. In this paper we have developed a mechanism for achieving optimization of project cost and schedule using the Crashing approach. Through crashing the schedule of the project can be shortened but more resources are to be added. Addition of more resources means increasing the cost of the project. So we have optimized the way to use the Crashing paradigm in a unitary way such that the overall results are optimized. Here our main objective is to reduce the cost as well as schedule so that it’s up to the project manager and practitioners by how much extent he is reducing the project duration there by increasing the overall project cost.

Keywords: Crashing, Optimization, tradeoff, Schedule

1,3,4Department of CSE PIEMR, Indore, India 2Department of MCA SIRT, Bhopal, India


Scenario Based Vaccine Status Monitoring and Recommendation System for Covid-19

Vaccination

Kavisankar L.1, Balasubramani S.2, D. John Arvindhar3, Rajkumar Krishan4

AbstractThe entire world is eagerly waiting for COVID-19 vaccination. The scientist has successfully created the vaccination but it is a great challenge for the governments all over the world to provide the vaccination without any defect from the originated efficiency vaccine to end users. Originated efficiency vaccine is the most important parameter that needs to be checked before providing to the consumers. There are a number of choices with at least few vaccines proven to be more effective than 90 percentages. The proposed work makes use of IoT devices to capture the status of storage of the vaccine at all scenarios. The entire flow of the vaccine supply chain is tracked constantly at all instances right from the manufacturers to consumers. It also concentrates on recommending physicians whether the vaccine can be injected to the patient or not based on the VSMR model. The VSMR model also provides a preventive mechanism based on the recommendation to the physician and also has an effective monitoring mechanism to find out the origin of the defect created in the vaccine.

Keywords: COVID-19, Vaccination, Supply Chain Management, Vaccine storage

1 School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu - 603203, India 2, 3 Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, Tamilnadu, India 4 Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India


Real Time Face Recognition and Temperature Sensing Device in Light of COVID-19 Pandemic

Dr. Aabha Jain 1, Shivan Qureshi2, Shubh Jyoti Singh3, Pranshu Sharma4, Durga Verma5, Simran Astotia6

AbstractThe purposeful aim of this product is to carry out an operation of face detection and recognition on the real time basis accompanied by a temperature sensing module to recognise the faces of the individuals and detecting their body temperature in midst of COVID-19 pandemic where social distancing is paramount norm to be followed up. This product at the moment is holding its prominent position & importance in the society as the COVID-19 induced pandemic compelled government of India to carry out and release norms and protocols that citizens of the nation have to comply with, which included particular norm of using biometric attendance systems deferral and suspension for a time being. This was the moment when institutions switched to carry out through temperature gun the temperature sensing of individuals entering their premises by using workers at the entry gate and registering enter details by getting those workers physically in close quarters. This is the tempo where our product development comes handy and convenient to be used by institutions or workplaces as it will be expedient in utilization and also be preventing imperilment of any worker being exposed to high calefacted individuals.

Keywords: Raspberry Pi 4, Pi Camera Module, MLX90614 Non-Contact IR Temperature Sensor

1Associate Professor, Department of Electronics and Communication Engineering, Prestige Institute of Engineering management & Research, Indore (M.P), India 2, 3, 4, 5, 6 Student, Department of Electronics and communication Engineering, Prestige Institute of Engineering Management and Research, Indore (M.P), India


Smart Blind Stick Using Ultrasonic Sensor

Abhijeet Ghosh1, Neveen Panchal2, Priyam Gour3, Sarita Vijayvargiya4

AbstractIn this cutting-edge world, innovation and designing are facilitating our lives to the fullest. Consistently, new developments in innovations are diminishing the physical tasks for typical people. Nonetheless, for individuals who are genuinely debilitated, life is as yet testing to endure, particularly for visually impaired people. They face many difficulties while performing day-by-day life errands like strolling, voyaging, or other everyday actions. This paper presents an inventive and proficient solution for blind people to make their daily routine simple and agreeable to experience. This work proposes a smart walking stick coordinated with Arduino Uno and Ultrasonic Sensor for detecting forthcoming deterrents while strolling on the streets or roads. In addition, the Buzzer will give an earlier alert when any hindrance is recognized in the way.

Keywords: Arduino, ultrasonic Sensor, Buzzer, Smart Stick

1,2Student Department of Electrical Engineering PIEMR, Indore, India

3Student Department of Business Administration UCW, Vancouver, Canada

4Asst. Prof. Department of Electrical Engineering PIEMR, Indore, India


Detection and Determining the Severity of Red Lesion Diabetic Retinopathy

Akshil Anilkumar M.1, Valia Manas Chetan2, Kavisankar Leelasankar3

AbstractDiabetes Mellitus, or Diabetes, is a malady where an individual’s body neglects to react to insulin delivered by their pancreas, or it doesn’t create adequate insulin. Individuals experiencing diabetes are at high danger of creating different eye illnesses such as diabetic retinopathy after some time. A large number of individuals experience the ill effects of this malady, an integral provenance of deterioration of eyesight amongst matured grown-ups. One can plan to identify and forestall this ailment among individuals living in rustic regions where clinical screening is hard to direct. Dark lesions are the rudimentary stages of DR. When this condition enters a new stage a fluid leakage occurs in the ciliary muscle which forces the creation of new vessels. Because of this, there is a very slim chance of recouping the eyesight loss. Due to these reasons, it becomes important to find new techniques to detect DR so that one can prevent this mishappening. We must find new Spartan ways so that we can discern the condition in the preliminary stages.

Keywords: Diabetic Retinopathy, Microaneurysm, Hemorrhages, Dark Lesions.

1,2,3 School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu District – 603203


Mask R CNN Based Vehicle Detection Model for Traffic Management System

Prakhar Verma1, Diksha Pal2, Vedant Agrawal3, Sushmita Kaviraj4

Abstract In the current era of technology every continuous or discontinuous work is going to be converted into automation. We all knew that the next revolution is industry 4.0 which is going to replace all such types of activities. On a bigger note, automation is going to achieve by replacing human resources i.e. 5 major senses of human sight, sound, smell, touch, and taste, and all depends upon the type of work. The prescribed project also works with one of the senses for automation ie VISION. We developed a device that detects the object and works accordingly. The main objective of the paper is to provide a system that works efficiently with industries to work faster and effectively. In our paper, we have focused comparative study on vehicle detection models which can detect the vehicle and also show the accuracy percentage on the block, for that, we collect data, then pre-process the data, model building, and most importantly, compare models and evaluate to get better results.

Keywords: R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN.

1Professor, Electronics and Communication Engineering Department Prestige institute of Engineering Management and Research (PIEMR) Indore, Madhya Pradesh, India 2,3,4 Student, Electronics and Communication Engineering Department Prestige institute of Engineering Management and Research (PIEMR) Indore, Madhya Pradesh, India


Speech- To- Speech Language Translation with the Help of Comparative Study of Machine

Learning Algorithm

Rishabh Badjatiya1, Pragati Sharma2, Jatin Jore3, Isha Dalal4, Harsh Jain5, Prakhar Verma6

AbstractIn this present scenario of digitization, communication is the primary factor in conveying information. Language plays a vital role in the communication system. Languages combine words with grammatical rules, which provide an unrestricted view of the speaker. To ease, we develop a device for speech-to-speech communication. Based on the latest technology, speech translation with machine learning makes an excellent communication system. This paper aims to provide an idea of the product with a comparative study of machine learning RNN and HMM models. Our device can recognize the voice and translate it into another language. We did the translation into several languages. In this paper, we focus on the communication system, language translation, and comparing models.

Keywords: Hidden Markov Model (HMM), Recurrent Neural Network (RNN), Hidden Markov Toolkit (HTK), Hidden Markov Synthesis (HTS)

1,2Assistant Professor, Department of Electronics and Communication, PIEMR, Indore, Madhya Pradesh, India 2,3,4,5,6 Student, Department of Electronics and Communication, PIEMR, Indore, Madhya Pradesh, India


Smart Shopping System with Automated Billing using RFID

Prof. Rishabh Badjatiya1, Miss Shivangi Nandanwar2, Miss Neha Kumari3, Mr. Prabhmeet Singh4

AbstractBuying various items with the help of shopping trolleys in shopping malls or markets. This product acquisition is a somewhat hard procedure. Among the buyer facilities everybody is required to drag the carriage together every moment they collect the goods. After purchasing the products, customers want to give the money for their purchase. At this time they have to wait in lengthy queues. With the help of RFID readers, they can scan products and obtain barcode scanners and their bills. He and the customer have to buy smartly in shopping malls. It is for each and every product to have an RFID tag to inspect products accompanied by an RFID communicator. Our carriage desires include an RFID communicator, RFID card, Liquid Crystal Display device, buzzer along with Arduino Nano microcontroller. Just at the moment that customers assume they desire toward purchase aught production and put it inside the carriage. this desire inspect and communicate the production name, cost then after exposure to view fare along with production title on LCD device. These overall fare through each and every obtained product’s desire to be appended in the eventual invoice, with this eventual invoice desire to be stored into the Arduino Nano. This arduino Nano is acting as a memory here. These all are done from the transmitter side. And on the receiver side, it will be the wireless transmission procedure. This is applied for sharing

1Assistant Professor, Electronics & Communication, PIEMR Indore, India 2,3,4 UG Student Electronics & Communication PIEMR Indore, India


production instruction including the overall eventual invoice aggregate based on those ingredient is planted inside those carriage and when done, the final amount will be displayed in the trolley. Customers could pay their bills either through an ATM card or a pre-recharged customer card provided by the shop. We have ensured security to prevent theft and also provide convenience for users who inadvertently drop their projects carefully into trolleys. Our ultimate objective is to reduce the time consumption in acquiring relief referring to the string by establishing buyer convenience and reducing these uniformity in respect to tag inspecting along with terminating the weavers apropos invoicing, thereby meeting the demand of both the customer and the shopkeeper. This is applied toward saving buyer rhythm along with the customers/purchasers do not have to wait in longer and longer queues. A new idea has been introduced which is the Concept ‘SMART SHOPPING SYSTEM WITH AUTOMATED BILLING USING RFID’. This project isused to improve the safety performance and speed performance.

Keywords: Shopping trolley, Supermarket, Radio Frequency Identification (RFID), Arduino Nano


Tuning of Manufacturing Processes Using the Results of Exploration and Prediction of

User Preferences from Big Data Analytics and Machine Learning Algorithms for the Lego Toy

Kaggle Datasets

Pritika Bahad1, Dr. Raj Kamal2

AbstractTuning of manufacturing processes helps in automating and optimizing the flow of production, procurement and logistics. Pritika et. al proposed a processing architecture for exploring and predicting user preferences using Apache Spark. The architecture was evaluated on LEGO-toys datasets of period 1949-2019 using the Spark Machine Learning (ML) algorithms. The large datasets analysed consist of LEGO-toys parts, categories, themes and colour features. Spark ML algorithms are applied using Machine Learning algorithms The algorithms led to discover that LEGO company’s products have become more colourful (children preferences exhibiting colours spectral-shift and width), diversified and multifaceted over-the-time. The architecture helps in discovering future directions for the new designs in future LEGO products. The present paper shows the tuning of the manufacturing processes using the exploration and prediction of user preferences from big data of the sales for the Lego Toy Company.

Keywords: Spark, Exploratory Analytics, Predictive Analytics, Machine Learning1Department of Computer Science and Engineering Prestige Institute of Engineering Management and Research, Vijay Nagar, Indore. MP 452010 India 2Department of ECE, Prestige Institute of Engineering Management and Research, Vijay Nagar, Indore. MP 452010 India

UNIT - 3Computing, Networking & Communication



Flick: Movie Recommendation System

Lakshya Bansal1, Richa2, Yuvraj3, S. Ponmaniraj4

AbstractRecommendation systems are machine learning algorithms that classify users with similar interests together on the basis of their ratings and comments about a movie. Various approaches have been adopted and validated on large scale but our proposed approach is the incorporation of user’s contextual information. Our recommendation system’s primary objective is to recommend movies through a Content Boosted Filtering Model. Our recommendation system weights movies on the basis of genres that user may want to watch by making use of genres correlation. The proposed system shows an efficient movie recommendation that can work with low bandwidth also with low latency.

Keywords: Collaborative Filtering, Content-based Filtering, Evaluation Metrics, Movie Recommendations, Recommender Systems, Sentiment Analysis.

1,2,3,4Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India


Design, Simulation of a Hexagonal for Multiband Fractal Antenna

Shivendra Shrivastava1, Rahul Kumar Verma2

Abstract In this paper the fractal calculations in the antenna patch have been applied. It has been utilized during the specific surface plans, preparing for reducing the copper loss in the patch. A hexagonal fractal patch is designed for a moderately new exploration territory in the field of Antenna designing. This resonate at multi-frequencies like 1.8GHz, 2.23GHz, 3.08 GHz, 4.23 GHz, 4.98 GHz ,5.59 GHz. So multiband reception apparatuses are utilized to work at various places for the different applications. Some of the applications are W-LAN, WiMax arnd mobile communication.

Keywords: hexagonal, Patch, FR4, multiband antenna

1,2 Amity University, Noida


Novel Paging Mechanism for the Directional Air Interface in mm Wave-enabled 5G

Communications

Dr. Giriraj Kumar Prajapati1, Dr. Sriniwas Nalla2, Pawan Kumar Singhal3, Ashish Vishwakarma4

AbstractMillimeter-wave (mmWave) range is one of the critical suggestions of 5G portable systems because of its capacity to suit enormous traffic requests and a consistently expanding number of remote gadgets. Paging communication, for clients in Idle Discontinuous Reception (IDRX) mode for vitality sparing, is one such vital capacity in a remote correspondence that needs alteration in exceptionally directional bar based transmissions. Because of the restricted spatial inclusion of directional bars, the paging transmission happens over various shafts, which builds the paging asset overheads of the system considerably. In this article, we present a novel paging system for the directional air interface in mm Wave-empowered 5G communications.

Keywords: 5G, DRX, UE ID, PIPD

1Department of Electronics Communication Engineering Sree Chaitanya Institute of Technological Science, Karimnagar, TS, India. 2Department of Computer Science Engineering Sree Chaitanya Institute of Technological Science, Karimnagar, TS, India. 3Department of Computer Application, Avdhoot Bhagwan Ram Postgraduate College, Anpara GJ, India. 4Department of Electronics Communication Engineering Mahakal Institute of Technology,


The Performance Investigation of IDS Using Error Back Propagation and Feature

Reduction through Information Gain and Correlation

Ghanshyam Prasad Dubey1, Dr. Rakesh Kumar Bhujade2

AbstractResearch in the field of IDS has been going on for a long time, and there are still a number of ways to improve the efficiency of IDS. This paper investigating the performance of Intrusion detection system based on EBPA and feature reduction. In a very first step features of IDS reduced through the combination of information gain and correlation. After that error back propagation algorithm used to train the network and then analyse the performance. Back Propagation is commonly used due to its ease of use and high accuracy and efficiency. It is commonly used in the development of IDS models. The proposed model is tested using ten percent of the KDD Cup 99 dataset. When compared to the results obtained using all features, the function subset obtained by information gain and correlation provides improved execution and training time, as well as an efficient detection rate and accuracy rate with a lower false alarm rate.

Keywords: Intrusion Detection, Back Propagation, Feature Selection, Machine Learning, KDD-99.

1,2Department of Computer Science & Engineering Mandsaur University Mandsaur, India


Web Mining Based Classification Technique for Placement Prediction in Educational

Institute

Anand Gandhe1, Dr. B. Dhanasekaran2

Abstract In the present age, placements play an important role in the survival of any educational institute. Most of the companies are now focusing on campus placements. For this purpose companies visit the colleges for placements drives Companies hire the skilled and qualified students to fill the positions. The focus of this paper is to identify whether the student will get placement or not. Web usages data mining techniques is a new phenomenon and plays an important role in educational institutes. The objective of this paper is to discover relevant attributes based on student’s profile such as their overall grades, technical and communication skills and discover patterns which can predict the placement of a student. For this purpose web mining based classification technique such as decision tree has been used. We also concluded that classification algorithms can be used successfully in order to predict student placement.

Keywords: Placement Prediction, Decision tree Algorithm, Classification Technique, Pattern Discovery, Web Mining

1CSE Branch, Bhagwant University, Ajmer, Rajasthan, India 2Professor, A. K. T. Memorial College of Engg & Tech. Kallakurichi, Tamilnadu, India


Using the Classification Method of Web Mining to Enhance the Student Performance

in Educational Institute

Rakesh Verma1, Dr. B. Dhanasekaran2

AbstractImprove the quality of educational process is most challenging part in dynamic era to enhance student’s performance and monitor their overall growth in colleges and universities. Educational web mining is simply refers to digging out the required information from the large educational database which is formed by the learning activities of students in institutions. . This work presents the output of applying a web mining approach to model the academic performance. The model use the C4.5(J48) classification technique and acquire a wide knowledge of the performance of students during the upcoming semesters. The accuracy of the work 75% by C4.5(J48). In this study in education system to enhance the performance of students by applying data mining method decision tree to predicted by teacher through different internal assessment results and on the basis of these results teacher will guide to weak students and uplift them from downfall. The aim of this paper to know the academic performance of the students in advance and can concentrate on students to improve their academic results.

Keywords: Educational Data Mining, Classification,decision tree, C4.5(J48).

1Research Scholor, Bhagwant Unversity Ajmer, Rasthan 2Professor, A.K.T. Memorial College of Engg. & Tech. Kallakurichi, Tamilnadu, India


A Review Article of Energy Efficient DEEC Routing in Wireless Sensor Networks

Piyush Saxenaa1, Indra Kumar Shah2,

AbstractThis paper presents a review on energy efficient clustering protocols for heterogeneous wireless sensor network. Energy consumption is the critical design issue in the wireless sensor network since each node has a battery and each battery has limited lifetime. Therefore using the battery in efficient way became an important task for prolonging the lifetime and stability of the wireless sensor network. Clustering based protocols are the best way to enhance the network lifetime. LEACH protocol is the first hierarchical clustering protocol for homogeneous wireless sensor network in which all nodes are having the same energy. The clustering protocols for homogeneous WSN do not performed well for heterogeneous WSN because the nodes in heterogeneous WSN have different energy levels. Thus for energy efficiency in heterogeneous WSN clustering protocols like SEP, DEEC etc. was proposed. In this paper, we have discussed the working of heterogeneous protocols and present the comparative study of different clustering routing protocols for heterogeneous wireless sensor network.

Keywords: Heterogeneous Wireless Sensor Networks, Cluster Head, Energy-efficient Clustering Protocols.

1,2Department of Electronics & Communication Engineering , IPS Academy, IES Indore, MP, India


Comparative Study of Phishing Defense Schemes on Mobile Computing Platform

Ms. Saylee Deshpande1, Ms.Vimla Jethani2

AbstractWith the increase in the use of technology hackers grows their interest to break user’s personal data such as user ID , password , bank details by impersonating as a legitimate entity. These attacks are commonly known as Phishing attacks. Nowadays people are using mobile platform for various services like e-banking, ecommerce which increase the number of cases of phishing attack on mobile platform also. To overcome phishing attacks on mobile phones many schemes have been developed. Some of these phishing attack detections are by blacklist schemes , heuristic based schemes and MobiFish scheme .In this work we have presented a comparative study of two mobile phishing detection schemes for detecting phishing Web sites: 1) A Heuristic URL-Based Approach. 2) MobiFish.

Keywords: Phishing, Blacklist approach, Heuristic based approach, MobiFish

1,2Computer Engineering Department Ramrao Adik Institute of Technology Mumbai, India


News Feed Aggregation and Personalization on Web using Similarity Score

Mohit Gouti1, Jayesh Agrawal2, Shantanu Mishra3, Aman Kumar Bamaliya4, Yash Singh5, Pritika Bahad 6

AbstractHandling the raw news becomes significantly important in the news industry. Usually, the classification of the news feed as per humans interest takes a lot of time and is not effectual. Sometimes humans miss out on what he needs to read due to the continuous availability of the news. Thus, the project proposes an approach to reduce human efforts, time spent, and energy by identifying the news from the data set. Aggregating them to several defined news categories, and constructing a personalized view for the humans via Web-based Interfaces. The model works on aggregating the news by using source-specific information extraction i.e., the XML code of the elements required with the website source, thereafter the unstructured news data set is cleaned, and the similar news set is kept together for classification purposes. A TF-IDF (Term Frequency – Inverse Document Frequency), based vectorization algorithm calculates the overall news weight-age of a keyword which is combined to find the similarity between the news. This results in the recommendation of news from the data set. The performance of the proposed model is evaluated using the publically available large dataset available at Kaggle. The results showed that the proposed TF-IDF-based Vectorization

1,2,3,4,5,6 Department of Computer Science & Engineering, Prestige Institute of Engineering Research & Management, Indore, India


model can effectively classify the news from the respective news data set. The Count Vectorizer method was inspected for the recommendation of the news for the proposed work. The result reveals that performance of the proposed TF-IDF Vectorization method outperforms the Count-Vectorizer model in terms of accuracy.

Keywords: News, Aggregator System, TF-IDF, Count-Vectorizer Model


Review of Data Mining Classification Techniques

Shraddha Sharma

AbstractOne of the most valuable tools for scholars, individuals, and developers is data mining, which allows them to obtain relevant knowledge from large amounts of data. Data mining is the process of using data collection techniques to discover real correlations and associations in large data sets that are obscure. Data Mining is also known as Information Discovery of Databases Data classification, data integration, data collection, data mining, data selection, knowledge presentation, and pattern evaluation are all part of knowledge discovery. Data classification is a crucial method for dealing with vast amounts of data. It is used to assign a class mark to newly available records. We find a paradigm of Classification that defines data classes and differentiates them from other classes. Building accurate and fast classifiers for large data sets is a crucial challenge in data mining and knowledge exploration. We use classification based on the training set to predict class labels and to classify results. This paper provides a detailed description of data mining and information discovery labelling strategies. In addition, this paper examines a number of approaches, including K-Nearest Neighbor, Bayesian Classifiers, Decision Tree, Genetic Algorithm, Fuzzy Set Approach, and Neural Networks. The aim of this research is to provide a concise overview of various data mining classification techniques.

Keywords: Data Mining, Classification, Categories, Class Level, Prediction, Model

Department of Computer Science & Engineering Prestige Institute of Engineering Management & Research, Indore


Languid Particle Swarm Optimization (LPSO) based Innovative Methodology for Reactive Power Reserve Optimization Maintaining

Voltage Stability Margin

Dr. Aditya Tiwary1, Mr. Yash Shah2, Dr. Smita Verma3, Dr. Preeti Gupta4, Mr. Pankaj Kumar Raghuwanshi5

AbstractReactive power reserve and voltage stability are one of the important parameters required for proper operation of the electrical power system. In view of the above, in this paper Languid Particle Swarm Optimization (LPSO) technique is developed for optimizing reactive power reserve maintaining voltage stability margin. The proposed method is implemented on two IEEE test systems, IEEE 14-bus and 30bus standard test systems respectively. The results obtained by implementation of the Languid Particle Swarm Optimization (LPSO) technique are supported by various Statistics parameters.

Keywords: Reactive power, Languid Particle Swarm Optimization (LPSO), IEEE test systems, Voltage stability margin.

1 Fire Technology & Safety Engineering Department IPS Academy, Institute of Engineering & Science Indore (M.P.) 2 Applied Mathematics Shri G.S. Institute of Technology & Science, Indore 3 Applied Mathematics & Computational Science Department Shri G.S. Institute of Technology & Science, Indore 4 Department of Mathematics, Prestige Institute of Engineering Management & Research, Indore 5Prestige Institute of Engineering Management & Research, Indore


Event Brite: Design and Development of Moderate Platform for Scheduling Events

Dr. Piyush Choudhary1, Ms. Anjali Srivastava2, Ms. Akriti Anand3, Ms. Yogita Solanki4, Ms. Nandini Machhalpuriya5

Abstract“It’s better to use moderate technologies for developing systems for scheduling events” Managing an event or activity is a ubiquitous word in modernistic social world. The word can be inter changeable for short startups or big professional events or mega activities like the Olympic Games. There is a big rise in the growth of Indian event management industries in past days. It has grown from homes to offices from kitty parties to baby shower programs. People organizes events as a status symbol of their life. The scope of Events is increasing day by day and the Events Industry organizes events like Birthday Parties, Marriage Programs, Marriage Anniversaries, Kitty Parties, Thread Ceremonies, Mega sports, Silver/Golden Jubilee Celebration, Baby shower programs, Engagement Ceremony, Mega Show Events, Job Fairs, Annual Functions, Webinars, Film Fares, Movie Premiere, Book Launching etc. The growth and demand in the field of event management needs a planner and organizer of the event. Today, Event Management is used as marketing strategy for product launch, political parties. Large number of organizations have already accepted the advantages of direct product selling and marketing through Events. Events are measured as a means to Launch, Advertise or Build a brand. It is very difficult to organize an event. There are lots of phases

1,2,3,4,5 Department of Computer Science and Engineering Prestige Institute of Engineering Management & Research, Indore Indore, India


involved for managing an event, which should be well planned or even well-organized for satisfaction of stakeholders. The organization of events is a multidisciplinary activity addressed in various research papers by expert people. This paper describes a platform for creating organizing an event of people’s choice.

Keywords: Web, Events, Management Systems


Serverless Computing to Overcome Server Problem in the Cloudspace

Ritesh Khedekar1, Devendra Singh2

Abstract Serverless computing permits you to make and run applications and services without concerning about servers. Lately, the recognition and adoption of serverless computing or Function-as-a-Service are fullgrown substantially, and it emerges as a higher thanks to manage value, responsibility, handiness, and quantifiability. This paper presents a detail of serverless offerings from leading cloud suppliers like AWS, Azure, Google Cloud Platform and some open supply. It compares them aspect by aspect within the relevant class like reason, storage, database, messaging, API management, and tooling. Additionally provides comparative analysis on obtainable serverless architectures for the foremost common use cases among cloud provider’s setting. It’ll additionally emphasize on edges, open problems, potential solutions, and therefore the way forward for the technology. With serverless computing, your application still runs on servers, however all the server management is completed by AWS. Victimization AWS and its Serverless Platform, you’ll build and deploy applications on efficient services that give integral application handiness and versatile scaling capabilities. This permits you to concentrate on your application code rather than worrying concerning provisioning, configuring,

1 Department of Computer Science & Engineering Acropolis Institute of Technology & Research Indore

2 Department of Computer Science & Engineering, Prestige Institute of Engineering Management & Research Indore


and managing servers. Building a serverless application permits you to concentrate on your application code rather than managing and in operation infrastructure.

Keywords: Cloud Computing, Amazon Web Service, AWS Lambda, Dynamo DB, Command line interface, FaaS, VMs, intuitive, pay-as-you-go, Micro services, containerization, Serverless


Review of E-Commerce Consumer Buying Behaviour Analysis Using Big Data Analytics

Ankit Chopra1, Arpit Maheshwari2, Rishi Acharya3

Abstract E-commerce business is grown with rapid rate in last two decades and it is expected to grow exponentially in near future. Revolution in mobile (cellular) communication technology, availability of low cost Internet, current pandemic situation and consumer’s increased purchasing capability are few reasons for this rapid growth. In today’s market consumer is everything, who will provide better services to consumer that business will grow more. E-commerce uses same principle to fulfill consumer needs and provide services online and delivered items at door step. So in e-commerce, consumer satisfaction is taken on priority, which is rigorous and tedious task. This e-Commerce also generates huge data termed as “Big Data” Many researchers working on the data of consumer’s behavior generated by e-Commerce platforms and it is termed as “Consumer behavior analytics”. Now in this paper we are trying to do a literature review of few papers for doing better decision making process of their work done.

Keywords: e-Commerce, Big Data, Consumer behaviour analytics, SVM, C4.5

1,2,3 Computer Science & Engineering Prestige Institute of Engineering Management and Research Indore, India


A Self Cascode Technique Based QVCO for 5G Using 65nm Technology

Rishabh Badjatya1, Dr. Mahesh Kumawat2, Prakhar Verma3, Suyog Munshi4

AbstractIn this paper, New QVCO(Quadrature Voltage Controlled Oscillator) Architecture is presented using the self cascode technique for 5G technology. Self cascode structure, which provides high output impedance, consists of one transistor above another in stack form. In this QVCO Design, two PMOS pairs at the top and two NMOS pairs at the bottom are introduced and connected in self cascode fashion. This technique results in a phase noise of -124.37 dBc/Hz at an offset of 1MHz which is 4.03% better than previous work. The operating frequency for this QVCO is 3.6 GHz, for the tuning range 3.75 GHz - 2.92 GHz, and tuning voltage is 0 – 1.2 V. Whole circuit consumes 6.78 mW of power and designs at 65 nm technology using the Tanner EDA tool. Keywords: QVCO, Phase noise, Tanner EDA, Self Cascode, 5G Technology.

1,2,3,4 Electronics and Communication Electrical Engineering Electronics and Communication Electronics and Communication PIEMR Indore, India Indore


Sentimental Analyzer for Stress Level Indication with the Help of Comparative Study of Machine Learning Algorithms

Prakhar Verma1, Jayati Sadaiya2, Anshul Kanojiya3, Aayushi Kanojiya4

AbstractAs the technologies are increasing in the cutting-edge world, we are working continuously, and we are focusing on improving everything. We don’t even have time to focus on our mental health. Especially, employees of the company work under a lot of pressure. We developed a device for them to maintain their stress level. This paper aims to deliver an idea of our product sentimental analyzer for stress level indication with a comparative study of machine learning SVM, KNN, Bayes, RF, and ANN algorithms as we know that our mental health plays a vital role. We must keep track of our mental and try to keep ourselves mentally fit. In several countries, the government has introduced several schemes to make people aware of the importance of mental health. In our paper, we have focused on a device that can analyze a person’s emotion with facial expression and text; for that, we collect data, then pre-process the data, model building, and most importantly, compare models and evaluate to get better results. Keywords: SVM, KNN, Bayes, RF and ANN algorithms.

1,2, 3, 4 Electronics and Communication Engineering Department, Prestige Institute of Engineering Management and Research (PIEMR) Indore, Madhya Pradesh, India


Real Time Attendance Monitoring System Using Deep Learning Technology and

Computer Vision

Prakhar Verma1, Jayesh Patidar2, Mehul Sharma3

AbstractFace recognition technology has been improved in performance a lot over the past few years. Now, these types of systems are widely used for security purposes and also for various other applications. One of which is marking attendance. Marking attendance and proper management of the same is a tedious task for every organization. Using traditional methods like managing register attendance requires lots of paper and cannot be used with technologies to analyze human efficiency. There are great chances of proxies in traditional methods as anyone can help his colleague in marking his proxy attendance. Due to all these issues, attendance marking is a challenging task in organizations. This paper talks about the implementation of an attendance system based on facial recognition which saves lots of the time of a person managing and marking it. A smart attendance system can be built using many technologies like a Barcode scanner, Fingerprint scanner, RFID scanner, and Face recognition. We had used Face recognition for this proposed model as this is the latest technology and can be implemented easily across any organization. This paper shows a way to mark as well as systematically

1,2,3 Electronics and Communication Engineering, Prestige Institute of Engineering, Management and Research (PIEMR) Indore, Madhya Pradesh, India


manage attendance. This implementation uses “Haar Cascade” as an image classifier. The proposed model automatically detects human presence and captures the human face for proper recognition. In this implementation, the manager is provided with a web-based application to view and edit the attendance records, also the web application is not limited to the manager but can create different roles such as admin, students, and teachers, where each user can see the details accordingly. The proposed model helps us to save our time, lots of paper, and human effort for marking attendance. The model is more reliable than traditional methods. The face recognition techniques can be implemented with less hardware thus making it cheaper than others. The chance of human error is almost negligible in this model. After all, being a software technology we can analyze a person’s performance on a regular basis by using the web portal and the data can be exported into any format for future references as well as can be used to generate student, class, and organization-based reports.

Keywords: Haar Cascade, OpenCV, Realtime Attendance, Facial Recognition


Tackling WannaCry Ransomware Using Dynamic Analysis

Zeenat Parween

AbstractIt is a time where all essential and non essential data have been digitized. Taking advantage of digitalization attackers attack the vulnerabilities of the system and try to encrypt the files present on the system this is known as ransomware. To restore access to the file user must pay ransom to the attacker after which the attacker provides the user with a decryption key. This paper will provide dynamic analysis on a ransomware called WannaCry and how it affects the environment. The analysis is as follows : 1. Execution of binaries creates child processes which encrypt the system.2. The ransomware encrypts all backup files as well. 3. It tries to achieve persistence by attaching itself to the AutoRuns of

Windows so as to start with system bootup. 4. Process Hacker tool helps in analyzing the child process. One of the child

processes taskhsvc.exe has been made to GET the current tor consensus list, contains network indicators, contains list of directory service for tor, and contains IP addresses that are used to communicate to tor.

5. Regex IPv4 filter helps in extracting the list to IP addresses which need to be blocked from the system environment.

Keywords: Dynamic Analysis, Ransomware, WannaCry

School of Engineering Science and Technology Jamia Hamdard University, 110062


Automated Monitoring of Machine Production System

Nitesh Sonwani1, Husain Handa2, Shubham Mundra3, Arpit Maheswari4,

AbstractProduction in a non-automated industry in today’s time can be a great hustle. Tracking the right amount of production, hours worked, total no of men working is a tedious task. Margin of error is huge. So to reduce this loss some steps needed to be taken to improve efficiency of production system. So with the help of Internet of things in collaboration with web based solutions we have prepared a system to monitor the production unit by unit and to update every hour to reduce human error and increase productivity We have designed an automated digital counter using IR Sensor to reduce manual work and increase accuracy.

Keywords: Counter system, Microcontroller, Infrared sensor

1,2,3,4 Department of Computer Science & Engineering, Prestige Institute of Engineering Management & Research , Indore


Big Data Classification: A review

Madhuri Gokhle1, Sadhana Tiwari2,

AbstractBig Data refers to a particularly large and complex form of data because of the fact that this data cannot be treated by regular data classification methods as they are particularly used for smaller and simple data types, to overcome this barrier some classification criterions and methods are introduced and used for classification of Big Data as well as some algorithms are also used for the classification (for example-Hadoop, hive and cloud etc. This paper gives a brief review on the general idea of Big Data and its classification methods and algorithm. It discusses the various methods of classification of big data through various criterions and algorithms.

Keywords: Big Data, Classification of Big Data, Hadoop, ICP: Data Mining Package.

1Department of Computer Science and Engineering, Jabalpur Engineering College, Jabalpur (MP) 2Department of Electronics and Communication Engineering, Prestige Institute of Engineering Management & Research, Indore.


Content Based Medical Image Retrieval Using Wavelet

Sonia Bansal1, Prof. (Dr.) Vineet Mehan2

AbstractImage retrieval is one of the most interesting and bright research areas in the computer vision field. Content Based Image Retrieval (CBIR) is an important and widely used technique for the retrieval of dissimilar kinds of images from the large database. The information in database can be available in different formats such as text, image, graph, chart etc. Image database are often huge, containing many images. The Content of an image can be described in terms of color, shape and texture of an image. In the last two decades, wide research is accounted for content-based image retrieval, image classification, and analysis. The success of such system basically depends upon the strength, accuracy and speed of the retrieval systems. The medical images represent the symptoms of a particular disease, so compilations of these images are the useful source for physicians as well as researchers. In this paper Discrete Wavelet Transform (DWT) for the features extraction and the Support Vector Machine (SVM) based classifier and Euclidean Distance based matching method is used for the image retrieval.Keywords: Images, Wavelet, Support Vector Machine, Content Based Image Retrieval

1ECE Department Maharaja Agrasen University Solan (Himachal Pradesh), India

2CSE Department Maharaja Agrasen University Solan (Himachal Pradesh), India


Foot Step Power Generation Using Piezoelectric Sensors

Prachi Verma1, Prachi Patulkar2, Dhruv Shrivastava3, Neha Sharma4

AbstractAs the population of the world is increasing, the demand for the consumption of energy resource is also increasing and electricity is one of those resources. We get electricity through many natural sources like fossil fuel, coal, petroleum, natural gas oil, etc. But for more than thousand years we have been using these resources recklessly that they are on the edge of end, so the researchers and scientists are finding different ways to producing renewable energy resources. In this paper, we are proposing the prototype Foot Step Power Generation using a photoelectric sensor, which will generate electrical energy from mechanical energy. The prototype elaborates on the use of piezoelectric sensors for producing energy. The basic principle of this prototype is based on photoelectric sensors, after flooring them; the electric energy produced due to the pressure applied is captured by the sensors which then converted into electrical charge by piezoelectric transducers. The arrangement is done in such a way that it produces maximum output voltage. This prototype will be applicable in different techniques such as trade mill, dancing floor, railway station etc. Keywords: Piezoelectric sensor, Power generation, Microcontroller, Electrical Energy

1,2,3ECE Students, PIEMR Indore

4ECE Assistant Professor, PIEMR Indore


BER Performance Analysis of NonOrthogonal Multiple Access For Wireless Networks

Employing Power Separation

Dr. Dilip Sharma1, Deepti Mousik2,

AbstractAs the communication technology is shifting from wired to wireless, associated challenges have also cropped up. One of the most serious challenges of the present day wireless communications is the rapidly increasing number of users and limited bandwidth. Hence multiplexing techniques which would utilize the available bandwidth resources effectively are being searched for. Non-Orthogonal Multiple Access (NOMA) has emerged as one of the promising options for future generation multiplexing solutions. In NOMA, the signals are separated in the power domain which allows the simultaneous transmission at the same time and frequency range thereby augmenting the spectral efficiency. However, due to multipath fading effects, power level separation is often complex to implement in real time situations. In this paper, NOMA based transmission mechanism has been proposed which employs decision feedback equalization along with successive signal detection based on power level separation. To emulate a real life scenario, different path gains have been considered for near, average and far users in a typical cellular network. The performance of the proposed system has been evaluated in terms of the bit error rate both without and with the proposed system being used. It has been shown that employing the proposed system, the error performance of average

1,2 UEC, India.


and far users almost coincide with that of the near users thereby indicating the fact that all users in the NOMA based system can be detected with almost identical accuracy. Keywords: Non-Orthogonal Multiple Access (NOMA), Power Separation, Decision Feedback Equalizers, Multipath Components, Bit Error Rate (BER).

UNIT - 4Infrastructure & Technological Innovation


Basic Concepts of Supply Chain Management Taking Case of Mumbai Dabavala

Dr. Sonal Trivedi1, Dr. Reena Malik Chitkara2, Dr. Rikkee Mishra3

AbstractIn the past four decades, the supply chain has changed significantly. There has been a significant paradigm shift in the Management of modern business; that is, the individual companies no longer compete as a single autonomous business, but as a supply chain. So the final goal of the company is to deliver the customers with the best possible experience with the help of coordinated finances, products, information that flows using the latest technology. So there is a need for best supply chain managers who have in-depth knowledge and can make use of information technology-enabled systems to extend its customers and suppliers with the best possible solutions. This paper critically examines the need for the supply chain management. A detailed literature survey reinforces the goals, importance, and need for the supply chain management. A case study was done on how the famous ‘Tiffinwalas’ are able to deliver meals using efficient supply chain management, thereby reducing the cost.

Keywords: Supply chain, Supply Chain Management, Tiffin walas case study, Information Technology.

1,2,3Chitkara Business School Chitkara University Punjab, India


Analysis about Development of B2B Supply Chain Management and Different Aspects of

E-Commerce Website

Aashish Gupta1, Akshat Jain2, Aman Agrawal3, Aman Sahu4, Ravi Khatri5

AbstractThe exponential growth of the internet users is creating rapid growth in the E-commerce industry around the globe. Nowadays E-commerce website plays an important role in business growth as it improves the efficiency and effect trade advantages. This paper presents the development of a business to business (B2B) E-commerce web system for the supply chain management of leather products. The proposed system helps the business firm to present all the leather products and goods easily viewed by potential customers globally and have easy access to it. Using this system we can save time and add values in logistics and supply chain, as well as improving service quality. This research paper also covers different aspects of E-commerce websites. This research paper answers many questions such as - What is an E-commerce website? What are different models of E-commerce website development? How an E-commerce website can be used in supply chain management? How does an order processing system work? What is a payment gateway and why is it needed?

Keywords: E-Commerce Website, Supply chain management, Business to Business (B2B) website, Order Processing System, Payment Gateway

1,2,3,4,5Department of Information Technology Medi-caps University, AB Rd, Pigdamber, Rau, Indore, Madhya Pradesh, India


Theoretical Exergy and Second Law Analysis of Vapour Compression Refrigeration System

with Refrigerants of Low and High Global Warming Potential

Shubham Soni1, Govind Maheshwari2, Devendra S Verma3

AbstractThe paper contains exergy analysis and comparison of performance parameters based on second law of thermodynamics. Investigation is conducted by calculating Coefficient of performance , Second law efficiency, total exergy destruction , exergy efficiency and Exergy Destruction Ratio for refrigerants like R134a, R404a, R502 and R507 with low Global warming Potential refrigerants like R290, R600a, R1270 and mixture of R290 & R600a. Theoretical study is carried out for evaporator temperature and condenser temperature of -10°C and 40°C respectively. Results obtained indicate that low GWP refrigerants are better than current refrigerants when analyzed in context of second law of thermodynamics.

Keywords: Exergy Analysis, Energy Analysis, Second Law Analysis, Low GWP Refrigerants, Vapour Compression Refrigeration System

1,2,3Department of Mechanical Engineering, Devi Ahilya Vishwavidyalaya (DAVV), Indore (MP), India


Fatigue and Factor of Safety Examination of Bevel Gear Using Finite Element Analysis

Shweta Khaire1, Mrigendra Singh2, Ajay Shikarwar3, Chinmay Saraf4

AbstractBevel Gears are important component in various industrial application and they help to provide direction to the process of power transmissions. Due to constant relative motion at variable speed the bevels gears experience fatigue stress. In addition to this, factor of safety must also be examined based upon the fatigue cyclic loading. Detailed examination of the fatigue stress and factor of safety helps to optimize the gear design and also ensures less wear in gears. In this paper, Ansys tool is used to examine the fatigue stress and factor of safety for a commercial design of bevel gears. The results of the paper shows that, maximum and minimum value of factor of safety for the fatigue stress is 0 to 15 and the maximum and minimum value of fatigue stress is 1.5617e-002 MPa and 1785.3 MPa. The method used in the paper and the outcomes of the paper can be utilized to improve the design of the bevel gears.

Keywords: Finite Element analysis, Bevel Gear, Fatigue Stress, Factor of Safety

1.2,3,4 Prestige Institute of Engineering, Management & Research Indore, MP


Analysis of Security Breaches and Security Mechanism in Analysing and Visualizing

Automobile Data

Surbhi Jain1, Kirti Panwar Bhati2

AbstractSecurity of Car and Car data is very important. Car user, who wants to get the information about the health of the car, needs to go to the service center. There are varieties of technologies around us so to get benefits from connecting such technologies to build a new health monitoring system for car. This paper proposed a system designed to sense initial problems in car so that car service can be provided to the car owner in time with greater efficiency. The architecture of the proposed solution based on integration between car data and cloud. It collects car diagnostics and uploads it on cloud for analyzing and visualizing data. In this system data is recorded continuously and wirelessly transmitted through Wi-Fi using ELM327OBD II diagnostic tool. An Android application is used to analyze and visualize data remotely. It helps car owner and the service center to monitor car’s initial health. Here security breaches while recording and scanning of automobile data is also considered. Data which is scanned shouldn’t be corrupted or repeated and on the time of data uploading on cloud, analysis & visualization security is prime parameter of consideration.

Keywords: OBD II, Automobile Health, ECU Python, Android

1, 2School of Electronics Devi Ahilya University Indore Indore, India


Assessment of Improvement in Property of Bitumen by Using Waste Plastic

Monika Dagliya1, Sachin Dhakad2, Abhishek Jat3, Pawan Sahu4, Krishnpal singh5

AbstractThe study aims to achieve the optimum plastic content in bitumen. In this study various tests on bitumen were performed by mixing of LDPE (Low Density Polyethylene) with different waste plastic percentages. Plastic is also a petroleum product, formed by a long chain of carbon. As bitumen is also a petroleum product so there is less chances of change in chemical composition. In this study results obtained shows that plastic can be aid up to a certain percentage and it will result in changes in properties of bitumen. Different test is performed with different percentage of plastic content such as ductility, softening point, viscosity etc. Addition of plastic up to a certain limit is beneficial for the flexible pavement. Use of plastic waste in bituminous mixes enhances its properties and strength too. MAJOR IDEA: Use Property of Non Biodegradability of Waste Plastic + Water Repellant Property of Waste Plastic= GREEN EARTH

Keywords: LDPE, Waste Plastic, Bitumen

1,2,3,4,5Department of Civil Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Model Predictive Torque Control of Induction Motor Using SVPWM

Aayush Patidar1, Dr. Dipali Sarvate2, Mrs. Yamini Nimonkar3

AbstractConventional MPTC method which suffers from high torque ripple and variable switching frequency at low speed region is improved by many researchers in literature, in doing so complexity and time compensation still a problem. This paper proposes a model predictive torque control (MPTC) which eliminates the control complexity, by using SVPWM as cost function minimization. The new method eliminates the requirement of time delay compensation which simplified the prediction model in model prediction control algorithm. Experimental result show that improved switching instant effectively reduces the torque and flux ripple in proposed MPTC.

Keywords: Induction Motor (IM), Model Predictive Torque Control (MPTC), Space Vector Pulse Width Modulation (SVPWM).

1,2,3Department of Electrical Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Utilization of E-Waste into Enhance Property of Concrete: A Review

Aditya Agrawal1, Shivam Jaiswal2, Gourav Choudhary3, Ankur Kashyap4, Rishab Pandey5

AbstractIn Today’s Scenario there is a lot of practices are enhancing to improve the nature and changing the various properties of concrete in which the reusing the ewaste is one of the practices in the concrete mixture. In the last few years, Government and various industries have occupied a strong position on the emphasis on high strength, performance & durability of concrete. In the current scenario, the locally availability of materials is exhausting very speedy, so some other alternatives about these materials it is necessary to find out. Also, there is electronic waste the problem that each country manages properly now because there is no method for disposing of electronic waste and with the growth of electronic products this problem is growing and more often. It can be done either by landfills or decomposing and this method requires large areas of land very difficult to get these days because of less space. So this is it a decent idea of using e-waste as a fixation in concrete for replacement in half of the total. There is a possible use of electronic waste in concrete by various researchers. In this paper, the review of various research works is done of E-waste which can be used to replace power units, the use of e-waste reduces the use of natural power units.

Keywords: E-Waste, Concrete, Aggregate, Compressive Strength, Flexural Strength

1,2,3,4,5Department of Civil Engineering, Prestige Institute of Engineering Management & Research, Indore MP Indore (M.P.), India


Evaluation & Comparison of C.O.P of Simple Vapour Compression Refrigeration System

using Different Refrigerants (R-134a, R-1234yf & R-1234ze) in the Circuit

Uma Shankar Prasad1, Dr. R.S. Mishra2, Dr. Ranadip Kumar Das3

AbstractWorld is highly concern about the exponential growth of global warming and energy demand, due to use of various refrigerants. Refrigerants used in VCRS are the most influencing agent in global warming & it is very important to select those refrigerants that have low impact on ozone layer and environment. This paper is a comprehensive review of experimental & theoretical studies of VCRS system using various refrigerants and their influence on atmosphere. From this paper we can also conclude the suitable alternative refrigerants for different VCRS.

Keywords: VCRS, ODP, GWP, alternative refrigerants, blended refrigerants

1Mechanical Engineering Department Prestige Institute of Engineering Management and Research Indore, India; 2Mechanical Engineering Department Delhi Technological university (DTU) Delhi, India; 3Mechanical Engineering Department IIT(ISM), Dhanbad Dhanbad, India


Study of Life Cycle Assessment of Soft Robotics Gripper Using Eco Sustainability

Tool in Solid Works

Chinmay Saraf1, Dr. Yogesh Pandya2, Dharmesh Barodiya3, Rishikesh Pawar4

AbstractSoft robotics is an emerging field of robotics, that deals with the design and development of soft grippers based robots that are used in a wide range of application. The paper examines the life cycle assessment of soft robotics gripper using the Eco Sustainability tool of Solid Works software, to estimate the environmental impact of the emerging technology. The results of the paper can be used by the designers of soft robotics to make it more sustainable. The results of the paper show that a soft robotics gripper manufactured and used in the same area have a carbon footprint of 1.8764 KG CO2, the Energy consumption of 20.149 MJ and negligible air acidification and water eutrophication.

Keywords: Soft Robotics, Sustainability, Life Cycle Assessment, Robotics, Carbon Foot Print

1,2,3,4Prestige Institute of Engineering Management and Research Indore, India


A Fuzzy SWARA-WASPAS Based Approach for Determining the Role of Lean Practices in

Enabling the Supply Chain Agility

Mr. Hemant Sharma1, Dr. Nagendra Sohani2

AbstractThe purpose of this paper is to propose a fuzzy SWARA-WASPAS based model which helps in determining the role of lean enablers in enhancing the supply chain agility. The fuzzy step-wise weight assessment ratio analysis (fuzzy SWARA) is applied for determining the priority weightage & ranking of the lean enablers and the fuzzy Weighted Aggregates Sum Product Assessment (fuzzy WASPAS) is applied to structure the agile factors. Today the fuzzy logic has become the buzz word popularly applied to solve many multi-attribute decision making (MADM) problems. The focus of study is concentrated mainly in enhancing the supply chain in automobile industry sector. The ranking obtained will be very useful for the decision makers to focus on the proper hierarchy and accordingly take actions for future improvements in the responsiveness of any supply chain.

Keywords: Multi-attribute decision making (MADM), Fuzzy SWARA, Fuzzy WASPAS

1Department of Mechanical Engineering, Prestige Institute of Engineering Management & Research, Indore, India; 2Department of Mechanical Engineering, Institute of Engineering & Technology, DAVV, Indore, India


Ranking of the Enablers of Lean Supply Chain Management: A Comparative Analysis

Hemant Sharma1, Dr. Nagendra Sohani, Sachin Agrawal3, Uma Shankar Prasad4

AbstractThe main objective of this paper is to develop the ranking of identified Lean supply chain enablers with the help of various methods and to compare their results. In this study we have used three different methodologies for fulfilling the objective of our research. Analytical Hierarchy Process (AHP), Best Worst Method (BWM) and Fuzzy Step-wise Weight Assessment Ratio Analysis (SWARA) are the three methods employed for weighting all the enables and finding the priority among them and their final rankings. Further the best results among these methodologies could be used to analyze their inter-relationships for successful Lean supply chain management implementation in an organization. In this paper 35 key enablers were identified after the rigorous analysis of literature review and opinion of group of experts consisting of academicians, practitioners and consultants. Thereafter the brainstorming sessions were conducted to finalize 28 lean supply chain enablers.

Keywords: Lean Supply Chain Management, Lean Supply Chain Enablers, AHP, BWM, SWARA

1,3,4Department of Mechanical Engineering, Prestige Institute of Engineering Management & Research, Indore, India

2Department of Mechanical Engineering, Institute of Engineering & Technology, DAVV, Indore, India


Analysis of Enablers of Green Supply Chain Management in Indian Automobile Companies

Sachin Agrawal1, Hemant Sharma2, Uma Shankar Prasad3, Dr. Nagendra Sohani4

AbstractThe purpose of this research is to analyze the enablers of green supply chain management (GSCM) in Indian automobile companies. This research identifies 20 GSCM enablers. Interpretive structural modeling (ISM) is applied to identify and analyze the inter-relationship among various 20 GSCM enablers. The results of the study show that the “Top management commitment” is the leading enabler for the GSCM implementation placed at the bottom of ISM hierarchical model. This study supports to make better decisions to improve the performance of industry and helps to follow environment rules and regulations.

Keywords: Green supply chain management, Enabler, Interpretive structural modeling

1,2,3Department of Mechanical Engineering, Prestige Institute of Engineering Management and Research, Indore; 4Department of Mechanical Engineering, IET, DAVV, Indore


Study of Nanofluids: Preparation, Stability Mechanism & Their Applications

Uma Shankar Prasad1, Hemant Sharma2, Sachin Agrawal3

AbstractThe main objective of this paper is to cover a brief information of Nanofluids, the fluid suspensions of nanomaterials, have shown many interesting properties, and the distinctive features offer unprecedented potential for many applications. This paper summarizes the recent progress on the study of nanofluids, such as the preparation methods, the evaluation methods for the stability of nanofluids, and the ways to enhance the stability for nanofluids, the stability mechanisms of nanofluids, and presents the broad range of current and future applications in various fields including energy and mechanical and biomedical fields. At last, the paper identifies the opportunities for future research.

Keywords: Nanofluid, Fabrication, Stability of nanofluid, applications

1, 2, 3Mechanical Engineering Department Prestige Institute of Engineering Management and Research Indore, India


Development of a Simple Structural Analysis Program for Framed Structures using MATLAB

Rohit Ravi Kumar1, Dr. Beena K. P.2

AbstractIn the analysis of framed multi storey structures, structural analysis programs play an important factor. Most of the commercially available structural analysis programs are developed for a particular purpose and it cannot be modified by the user according to his or her needs. This is addressed in this paper and a simple structural analysis software named “SAM” is developed. “SAM” can be used to analyse and design any multistorey RC framed structure and can be modified by the user to his or her requirement. Moreover, in this paper, the various subprograms of “SAM” in MATLAB code is developed and discussed. The results obtained from “SAM” is also compared and validated in this paper.

Keywords: Structural Analysis, Programming, MATLAB, Framed Structure

1,2Department of Civil Engineering College of Engineering Trivandrum Thiruvananthapuram, Kerala, India


Effect of Boundary Conditions on the Bending Performance of Soft Pneumatic Channels

Dr. Yogesh Pandya1, Mr. Karan Khatke2, Mr. Dharmesh Barodiya3

AbstractSoft robotics is also known as nature inspired robotics where we can replace the hard robots for safe interaction with fragile things such as agricultural and food products, and better adoptability by soft robots. In this paper, the behavior of large deformable material used in soft robotic gripper application has been performed. The finite element analysis (FEA) based deformation model has been adopted to predict the effect of boundary conditions such as load in the form of Pneumatic pressure and end conditions or supports. The results of the analysis have been summarized at the end for future work in this area.

Keywords: soft robotic gripper, FEA, large deformation, agriculture, food, medic, nature inspired robotics

1,2,3Department of Mechanical Engineering Prestige Institute of Engineering Management and Research Indore, India


Study on Factors Affecting the Tensile Welding Strength of a Joint Using Taguchi Methods

Shaheen Beg Mughal1, Sejin Jacob John2, Ajay Singh Sikarwara3

AbstractWelding is a process wherein two different metals are joined together by virtue of heating the metals and fusing them together at a high temperature. However, the strength of the welded joint is quite often not considered. There are various factors which may/may not alter the tensile strength of a welded joint. This research closely investigates these various factors which affect the welded joint and in the end, reaches to a conclusion about the factor which affects the most on the tensile weld strength of a joint. Initially, the Design of Experiments (DOE) is done through Taguchi’s Method. The experiments are performed based on these factors and the respective results are found with the help of the Universal Testing Machine(UTM). Moreover, the results obtained from these experiments are further validated using ANOVA with the help of MINITAB 18. Based on results, we concluded on a factor which affects the tensile strength of a welded joint.

Keywords: MIG Welding, Taguchi’s Method, Design of Experiments, ANOVA.

1,3 Prestige Institute of Engineering Management & Research, Indore, Madhya Pradesh, India

2 ITM University, Gwalior, Madhya Pradesh, India

Topology Optimization for Optimum Shape and Size of a Drone Frame using Finite

Element Analysis

Rishikesh Pawar1, Bharti Bhorga2, Dr. Yogesh Pandya3

AbstractDrone technology and its applications in various fields are getting popular day by day. In this paper finite element analysis based topology optimization technique has been adopted during the early stages of design of a UAV such as drone for optimum shape and size of the frames. After the FEA using SOLIDWORKS, an optimum framed structure has been evolved and adopted for full scale prototype of the drone. Finally, out of the three different framed structure considered the optimized frame structure has been 3D printed.

1,2 Research Scholar, 3Professor, Department of Mechanical Engineering Prestige Institute of Engineering Management and Research, Indore, India

UNIT - 5Innovations, Entrepreneurship &

Sustainable Development


Women Entrepreneurs: Navigating the effects of COVID-19 in India

Ms. Sakshi Gupta1, Dr. Shilpi Khandelwal2

AbstractIntroduction: The encounter with the SARS-CoV-2 and the widespread of COVID – 19 has led the Government globally to take drastic measures. Imposing a lockdown in large parts of society and economic and social life has come as an exogenous shock to many economic actors, mainly led by the entrepreneurs. With the practice of social distancing and shifting of demands as a result of COVID – 19, has a severe impact on many small businesses and entrepreneurs. The COVID – 19 pandemic affects men and women associated with various sectors, in different ways. According to the data and statistics, women are more vulnerable to economic shocks brought up by crises such as the Coronavirus Pandemic.Purpose: The present paper focuses on the impact of Covid-19 on the Women Entrepreneurs: The Harbingers of Change in the Nation. The paper also discusses the related challenges and suggestive measures related to the growth of Women Entrepreneurs in this time of COVID-19 Pandemic.Methodology: The COVID – 19 –pandemic and the global lockdown have combined to create a unique situation that has not been documented in entrepreneurship literature. The study is designed keeping in mind the emergence of women entrepreneurs in India. Therefore, Relevant research papers, reports and articles were selected and used for the present study. Also, the comments from women entrepreneurs in articles and via interview were

1,2Jagannath University, Jaipur

GROUP - A


analyzed, to gain real knowledge about the challenges they are facing as a consequence of the current crisis. Further, it also manages to put a light on the ways adopted by women entrepreneurs to deal with the effects of the crisis to protect their ventures.Findings: Women entrepreneurs are a heterogeneous segment belonging to different age groups and demographic background and there is an urgent need to decode policy imperatives and interventions that can boost an engendered environment for women entrepreneurs in India. The current pandemic intensifies existing glass-ceiling barriers that women-led businesses already face such as lack of access to financial capital, facing multiple role expectations, a women entrepreneur runs two businesses, their own business and the household i.e., their business. Further, the data shows that the crisis is likely to impact the women workers at all categories, globally, i.e. From managers at various levels to the daily wage laborers, from employed personnel to self-employed entrepreneurs. On the basis of this analysis some recommendations are given to promote the spirit of women entrepreneurship and help women to become successful entrepreneurs. Originality: Women’s entrepreneurship is an area that needs specific research attention in the wake of the Covid-19 pandemic, as self – employed and small and medium enterprises are at the center of the current crises. According to a recent study, more than 50% of SMEs have already lost significant revenue and are at risk of being out of business within three months (OECD, 2020). Women face specific challenges due to balancing work with increased household responsibilities, including childcare due to school closures. Across the OECD countries, women also spend two hours more per day on unpaid work at home than men (OECD, 2019), consequently we can expect a significant number of business exits and substantial job losses. There is some evidence that women operate businesses with lower levels of capitalization and are more reliant on self-financing (OECD/European Union, 2019. Many rely on internal financing, and often give small financial reserves. Consequently, a revenue decrease resulting from the COVID-19 crisis has immediate implications for entrepreneurs’ personal incomes and their ability to finance their cost of living. Women entrepreneurs may be at greater risk of having to close for extended periods with substantially reduced or no revenue.

Keywords: Coronavirus, COVID – 19. Women Entrepreneurs, Opportunities, Challenges


Factors Affecting Teaching Engagement in the Higher Education Institutions:

Uttarakhand Region

Nilambara Shrivastav1, Kulwant Kumar Sharma2

AbstractThe primary focus of this research is to explain hypothetical queries “what are the important factors affecting the teaching engagement in higher education of Uttarakhand? What impact do these factors have on teacher’s engagement in the institution? A cross-sectional exploratory study was done to explore the factors, their associations, and their impact on each other. Data collection was done through standardized questionnaires from 265 teachers working in different higher educational institutes situated primarily in Uttarakhand. Data were analyzed by using SPSS-23. The study revealed that appraisal and rewards were positively correlated with teacher’s engagement and had a significant positive impact as well. Along with this, a significant positive association was analyzed between the Faculty development program and workshops with class engagement that had a significant influence on the class engagement.

Keywords: Higher education, Teachers, engagement, classroom, rewards, appraisal, FDP, workshops

1,2Chitkara Business School, Chitkara University, Punjab, India


Pioneering an Integrated Framework for Environmental Sustainability in Higher Education Institutions: Insights from

St. Xavier’s College, Kolkata

Samuel S Mitra1, Peter Arockiam. A2, Joseph K.3, Milton Costa4, Ruby Mary Notts5

AbstractIn the current era of hyperbolic transitions and ramifications, the roles played by Higher Education Institutions (HEIs), has become more challenging and hence certain practices need to be followed in such institutions to keep educational afloat as well as bring about a bewildering change in the society and environment at large. In this light, it is almost imperative to talk about Jesuit Higher Education Institutions who not only aim to provide education of the highest quality but also a 360 degree development among its students and contributing to the society by fostering environmental sustainability, thus, epitomizing the real spirit of being environmentally proactive. Over the past few years, St. Xavier’s College, Kolkata has not only perched itself as an institution of academic excellence but served as a means of promoting and propelling environmental sustainability. The present research study is attempted at highlighting such practices and also proposing an integrated framework for achieving environmental sustainability.

Keywords: Higher Education Institutions; St. Xavier’s College, Kolkata; Environmental Sustainability; Sustainable Practices

1,2,3,4,5St. Xavier’s College (Autonomous) Kolkata, WB, India


Impact of Technology on MSME in India

Nitin Rao Chavhan1, Dr. Mukesh Sharma2

AbstractDue to their significant contributions, micro, small, and medium enterprises (MSMEs) remain at the forefront of the Indian economy. They account for more than 40% of the country’s manufacturing production and more than half of all exports. As a result, if something disruptive occurs in this industry,, The remainder of the economy is influenced by its ripple effects. a company. The manufacturing sector is expected to be transformed by a technical medley of physical and digital infrastructure. MSMEs are at the foreground once again as this transformation is formed.

Keywords: MSME, Manufacturing, Production

1,2 Mandsuar Institute of Technology, Mandsuar (M.P) , India


Green Synthesis, Characterization and Study of Antioxidant Activity of Hematite

Nanoparticles Using Leaf Extract of Neolamarckia Cadamba

Dr. Bindiya Sharma1, Dr. Anamika Jain2, Rakhi Mandloi3

AbstractIron oxide is of significant importance for many industries due to its versatile properties, which have been enhanced with the production of this material in the nanoscale. Nonetheless, the increase in concerns related to environmental impact has led to the development of eco-friendly processes for its production. Recent interest in obtaining metal oxide nanoparticles using biological approaches has been reported in the literature. This method was termed ‘green synthesis’ as it is a less hazardous process than chemical and physical synthesis methods currently used in the industry to obtain these nanomaterials. Iron oxide nanoparticles have been successfully obtained by green synthesis using aqueous leaves extract and were characterized by UV–VIS spectroscopy, FTIR analysis. The antioxidant behavior of Fe2O3 nanoparticles was assessed by hydrogen peroxide scavenging method. A UV–VIS spectrophotometer was used to track the H2O2 scavenging activity.

Keywords: Ironoxide nanoparticles, Neolamarckia cadamba, Green Synthesis, Spectral Study, Antioxidant activity.

1Prestige Institute of Engineering Management & Research, Indore, India; 2,3Holkar Science College, Indore, India


Study of Recent Advances in Mathematics

Neeraj Chandnani1, Pankaj Kumar Raghuwanshi2

AbstractThis research discusses a variety of applications, especially advances in mathematics and different engineering principles. In this work mathematics like 3D tomography, EPRI, TEM and others are also highlighted. Nowaday’s mathematics is one of the important parts of research. Each and every algorithm requires mathematical modelling for the analysis of it. If some research is performed experimentally but if it failed to verify it mathematically then that research cannot be considered up to the mark. In this research work, we have focused on a lot of applications of mathematics in various fields.Advances in mathematical modeling, optimization, numerical analysis, signal processing, and computer science are important advances in mathematics. There is a particular emphasis on stochastic analysis, machine learning algorithms, and deep learning models, which are highly relevant to the state-of-the-art in augmented, virtual, and mixed realities. Topics include: Harmonic analysis, Big data analytics and applications, Biomathematics, Computer engineering and applications, Economics and financial engineering, Medical imaging, and non-destructive testing (NDT). This research is ideal for engineers and researchers working in technological fields that need to be modeled and simulated using the tools of modern mathematics.In recent years, mathematics has experienced amazing growth in the engineering sciences. Mathematics forms the common foundation of all engineering disciplines. This research work provides a comprehensive range of mathematics applied in various

1Military College of Telecommunication Engineering, MP

2Prestige Institute of Engineering Management & Research, Indore, India


fields of engineering for different tasks such as civil engineering, structural engineering, computer science, and electrical engineering, among others. It offers concepts that develop the applications of mathematics in engineering sciences, conveys the innovative research ideas, offers real-world utility of mathematics, and has a significance in the life of academics, practitioners, researchers, and industry leaders.Keywords: Approximation, Biomedical, parameter, robotic, Transmission, tomography, transform


A Critical Review on Combating Power Quality Issues in Solar Energy System

Sarita Vijayvargiya1, Dr. V. K. Sharma2

AbstractPOWER quality is a major issue in modern power systems owing to the increased use of power electronic based devices and integration of renewable energy systems such as solar and wind energy. Power electronic based loads which are nonlinear in nature result in increased harmonics in the system Renewable Energy Resources (RER) are growing steadily and they are projected to supply all the electricity demand in the future. As solar power becomes more popular and growing, it is necessary to remember that the electric Power grid is a dynamic system. However, dealing with the solar energy’s intermittent nature is the foremost challenge of its utilization. When solar systems are attached to the grid, we may see power quality problems occur for both the solar site and the utility. Fluctuations of received solar irradiance can cause significant variations to the output of Photovoltaic (PV) systems. Those output variations can also affect voltage and current at the Point of Common Coupling (PCC) and consequently, power quality of the system. Some of the issues may be sag, swell, flicker, harmonic, interruptions, power reversal issues and Unbalance and transients. This review shows what else the issues are caused due to the solar energy while connected to the grid and how it can be improved, controllers, grids, power quality enhancement devices, power converters.

Keywords: Voltage; Grids; Sag; Flicker; Swell

1 Prestige Institute of Engineering Management & Research, Indore, India 2 Bhagwant University, Ajmer, India


Design of Three Phase Core Type Transformer Using MATLAB GUI Interface

Mr. Sagar Manjrekar1, Mr. Dipesh Suryavanshi2

AbstractTransformer is an important device for Power Transmission and Distribution in Electrical Power Systems. The Design calculations of the Transformer are long and tedious process if done manually. A program can be made in any programming language but again the program length is large and it is difficult to understand and summarize the design steps in short. In this paper an effort has been made to understand the Design Procedure of a transformer using MATLAB GUI interface. GUI Interface is user friendly for calculating the dimensions of core and Yoke for the given input specifications.

Keywords: Core Type Transformer, Electrical Machine Design, MATLAB GUI

1,2 Department of Electrical Engineering, Prestige Institute of Engineering Management & Research, Indore, India


The Role of Communication at Workplace: Study of Hospitality Industry

Tanvi Nundy

AbstractA world of blended communication in modern times is critical for successful operating of any industry. Communication skills have come up as a necessity of business. It is a prominent way of communication. An impactful communication develops the path of objectives of the hotel industry. The customer’s opinion assures a leading path and well-organized performance pattern in the work atmosphere. are a medium of revenue generator and directly related to Hospitality Industries. It is not the circumstances of one city, it is the case all over the world. In this paper communication skill effectiveness is analysed in the Hotel industry, a supportive part of the tourism industry. This hospitality industry has divergence in their job roles towards staff, guests. Communication skill is restricted to only English. The hotel industry stretches its performances with regional language to global language with respect to ethnicity and cultural backdrop boost the business. This paper focuses on the Hotel industry as a core area related to public interaction and importance of communication skills. In India English is the second language therefore an excellence in this language leads to rendezvous experience among staff, managers and customers. Hence the paper examines the role of communication in the hotel industry.Keywords: Impacts, Language, Guest. Hospitality, Productivity

1Department of Applied Science & Humanity, Prestige Institute of Engineering Management & Research, Indore, India


FDI and its Impact on Sustainable Development in India

Pallabi Mukherjee1, Kali Charan Modak2

AbstractPurpose: This paper aims to establish the impact of Foreign Direct Investment on growth and vividly on development in India. Design/Methodology/Approach: The methodology involves Linear Regression, maximum likelihood method. Vector Autoregression model (VAR) followed by Granger causality Wald test (GC) to evaluate the causality between GDP and FDI and also between FDI and all dimensions of development. Variables Considered: Sustainable Economic Development Assessment (SEDA) score, Income, Economic Stability, Employment, health, Education, Infrastructure, Equality, Civil Society, Governance, and Environment. GDP Growth (%), GDP in current US billion Dollars, GDP/capita, and GDP/Capita growth. Findings: The primary findings portray the impact of FDI on GDP to be positive but growth rate to be negative and Two-way causality between growth and FDI exists. The impact of FDI on overall development (SEDA) score is positive including some distinct variables as well but its impact on employment and environment is negative. Two-way causality between FDI and all development dimensions exists except that of economic stability and governance. The impact of FDI on income is strongly affirmative and significant and FDI has a negative impact on equality. Practical Implications: Development should be more independent in a country and eventually be self-driven. Findings provide a comprehensive image of how FDI has impacted a developing country like India in terms of growth and development.

Keywords: Foreign Direct Investment, Growth, Development, Income, Employment, Equality and Environment

1,2 IPS Academy, Institute of Business Management & Research Indore


Impact of Employees Behaviour Towards Technological Innovations in Educational

Institutions

Dr. Anamika Rawat1, Subarna Biswas Mistry2

AbstractThis paper will check the impact of technological implementations on employees’ behavior in educational institutions. The present technology driven world, technology has covered its own way in every field of business. It plays a both constructive and destructive role in this current changing industry environment. In this modern day no individual, no educational institution and no business can undergo without implementing the usage of technologies. The positive side of usage of technology will make the employees work more effectively which will recover the overall performance of the organization. All together adoption of new technology facade certain level of stress on the employees. Technological innovations are having a noteworthy impact on educational systems at all levels. Educational software, Online courses, social networking tools, teaching aids and other rising technologies are unruly in the traditional classroom environment. Technology in education is critical to develop strategies and techniques to manage and use for understanding the effects that technological innovations have on students, teachers, and schools. The present study is focusing on the role of technology on employee’s behavior & their performance and influence of technology on employee inter- personal relationships.

Keywords: Employee behavior, Employee inter-personal relationship, Employee performance, Influence of Technology, Techno- stress, Motivation, Training

1School of Business and Management, CHRIST(Deemed to be University) Bangalore, Karnataka, India; 2CMS Business School, Jain( Deemed to be University), Bangalore, Karnataka, India


A Profound Study on The Ancient and Renowned Genre (Gharana) of Dewas –

Diwan Atre Gharana and Their Preserved Heritage Structures

Vibha Atre1

AbstractMadhya Pradesh the heart of India and the State of varied culture and tradition has name and fame of being a place of immense historical importance. One of the popular city of Madhya Pradesh is Dewas, which means the place where all the gods and goddesses reside. This small town or city of Madhya Pradesh got this name because here, there is a very famous temple of Goddess Chamunda and Tulja Bhawani known as Chhoti Mata and Badi Mata respectively situated on a hill in the center of the city. This temple has a very holy significance and the sanctity of this temple is such that people believe firmly about the sacredness of the sanctorum where deity idols are placed, it is a strong belief that by beholding goddess at this temple all the desires of every individual are fulfilled. Another important fact about this city is that it has some ancient and old heritage structures which are still being preserved by the descendents of the ancestors who lived there. So this paper is an attempt to study and get insight about the historical importance of Diwan Atre Genre (Gharana) and their ancient heritage structures which are still being preserved by their descendents. One of the important perspective presented through this paper is that “old is gold”, because getting an opportunity to know and

1Department of Applied Science & Humanity, Prestige Institute of Engineering Management & Research, Indore


study about the history of close association with royal family itself is one of the boon for existence, moreover the heritage structures in the present scenario with exquisite antiques provide the evidence of glorious existence. This paper is an extensive study on very ancient heritage structures along with the historical information about the ancestors who lived there and were holding respectable positions in the royal families of Dewas.

Keywords: Genre (Gharana), preserved, heritage, descendents, sanctorum, sanctity


Performance Analysis of DFIG Based Wind Energy Conversion System

Dipesh Suryavanshi1, Dr. V. K. Sharma2, Sagar Manjrekar3

Abstract

In the present era, offshore wind energy emerges as a most favorable source of renewable energy. The advancement in the field of wind extraction technology led to the phenomenal growth in requirement of variable wind speed turbines over the fixed speed wind turbines. Doubly Fed Induction Generator (DFIG) are specially designed to trace the optimal wind turbine speed for maximum energy capture from the wind The stator of DFIG is directly connected to the grid while the rotor is connected through a RSC and GSC, which is partially transferring power to the grid. For optimum use of offshore wind energy DFIG based wind turbine system is coming out as a most suitable solution. This paper represents the control strategy and performance analysis of DFIG System. The paper also discusses the Rotor and Grid side converter system along with Pitch angle control mechanism. The simulation results for Turbine response with variable wind speed and fault analysis are completed using MATLAB/SIMULINK. Simulation shows the DFIG based wind turbine is able to maintain the voltage profile of the grid during fault.

Keywords: DFIG, RSC, GSC, PI, WECS

1,2,3 Department of Electrical Engineering, Prestige Institute of Engineering Management & Research, Indore, India


A Design Approach For Efficient Tensor Processing in Tensor Cores for Accelerated

AI Inferencing at CNN Based Machine Vision in ASIC

Neha Sharma1, Aabha Jain2, Raj Kamal3

AbstractMachine Vision (MV) technology is widely used in advanced manufacturing processes. The processes deploy MV application specific integrated circuits (ASICs). The MV processing requires deep learning Convolution Neural Networks (DNNs) based AI inference. The CNNs require a large number of complex tensors and vector processing. The processing needs high performance computing (HPC) of a large number of tensors with least energy spending in the ASICs. The paper presents a design approach for efficient tensor processing in tensor cores for accelerated AI inference at CNN based machine vision in ASICs. The design approach deploys the small DNN model SqueezeNext along with application of quantization, fast arithmetic reduction, tensor cores aware tuning, pruning and fusion for the efficient AI inference in ASICs.

Keywords: Machine Vision, High Performance Computing, AI Inference. ASIC, Machine-Objects Inspection, Small Deep-Neural-Networks, SqueezeNext, Tensors aware CNN

1,2,3 Department of Electronics & Communication Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Skill Transformation in Engineering Graduates through Effective Training and Placement Management System

Sourabh Bhattacharya1, Sarita Vijayvargiya2, Megha Sharma3

AbstractTraining and placement management system is an integral component of any institution. In the situation of the global recession, it is critical for every institution to have the best training and placement cell possible so that students are prepared to face challenges in the real world. The present study analyzes the whole evaluating system of the training and placement cell of Prestige Institute of engineering and management (PIEMR) for B.Tech students. Findings revealed that the correlation between Quantitative skills is highly positively associated with Aptitude. Together, they test the mental alertness of the student which is essential for getting a job in the complex business world. This study will help the training and placement cell of the Prestige Institute of engineering and management in the formulation of their future programs.

Keywords: Training, Placement, Aptitude, Quantitative, English

1,2 Department of Electrical Engineering, Prestige Institute of Engineering Management & Research, Indore, India; 3 HNB Garhwal University, Srinagar, Uttarakhand


Harassment of Women: A Social Ethical Issue in Technology

Smita Syal1, Nidhi Gautam2, Indu Chabra3

AbstractThere is exponential use of technology in today’s era. Every child, women and men either adult or not use technology daily. People are sharing their personal information, pictures, videos on social media but intentionally or unintentionally women get harassed by technology. In this paper, I will elaborate the reason why and how women are harassed with technology which is the main issue in technology and how we should prevent her from such embarrassment.

Keywords: Technology, Embarrassment, Harassment, Social Media App.

1 Department of Computer Science and IT, Swami Swatantranand Memorial College, Dinanagar, Punjab, India 2 Panjab University, Chandigarh, Punjab, India


GROUP - B

IoT based Advancement and Innovation in Textile Industries: Review

Rajnandini Kushwah1, Kratik Tiwari2, Gitika Yadav3, Sadhana Tiwari4

AbstractIndustry 4.0 is bringing drastic changes in manufacturing industries and making industries more automatic. Technologies like IoT, cyber physical systems and robotics are influencing industries and resulting in higher and efficient production. Textile Industries are highly competitive and dynamic in nature and contribute to the economic growth of the country. Uses of technology such as IoT, cyber security and AI in textile can contribute a lot of innovations and advancement in textile technology. This paper presents a review and use cases of IoT for the textile industry.

Keywords: Textile Industry, IoT, Innovation, Automation

1,2,3,4 Department of Electronics & Communication Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Digital Media Taking Covid Shield Popularity to New Heights: A Micro Case Study

Jasleen Dutta1, Saransh Khurana2, Gaurav Amlavad3

AbstractPresent investigation is one of its first kind illuminates the significance of online media observation for following the public conclusions to Covishield. Auxiliary information from all round India were gathered and dissected utilizing Talk walker programming from March 2021. Basically, social media was utilized for study reason. Discoveries uncovered fascinating humming around Coronavirus and Covishield as most well-known hashtag on web with a large number of discussions. Further, concentrate additionally broke down segment appraisal of online media identified with Covishield and for the most part individuals were on edge to think about the current scorecard of the achievement created by Covishield. Furthermore, government mediations every now and then and immunization for infection were focal topics for online media sensations. Discoveries of this investigation can help for reasonable warning and convenient mediations to coup the psychological impediment of individuals during this pandemic. The immunization drive for counteraction against COVID-19 in India began from 16” January 2021. Two immunizations utilized for this drive are Oxford-AstraZeneca’s Covishield and Bharat Biotech’s Covaxin. This drive has effectively crossed 600,000 imprints in initial four days and the public authority has expressed that the drive will be additionally sped up in coming days to guarantee resistance to the residents of the country. Nonetheless, there is a segment

1,2,3 Prestige Institute of Engineering Management & Research, Indore, India


of the local area which is as yet suspicious to the COVID-19 inoculation. This examination work has been directed to dissect the slants in the tweets posted in India with respect to the immunizations. The investigation shows that while a greater part of the populace is posting with positive assumptions towards these antibodies, there are additionally negative conclusions related with them, related with the feelings like dread and outrage.

Keywords: Covid-19, vaccine, India, immunization, Covishield, Covaxin


Survey on Stress Analyzing Devices

Prakhar Verma1, Akash Bhabar2, Raghvee Malviya3, Yash Nagar4

Abstract

Nowadays people’s lives become more stressed due to many reasons like heavy workload, long working hours, too much responsibility, emotional problems, etc. This stress can cause various health problems such as high blood pressure, cardiac death, weight gain or loss, headache, and much more. There are so many devices and applications available which help to indicate stress levels and provide effective solutions to manage stress. This paper presents an informative survey on various devices and mobile applications which helps in analyzing and managing the stress. We have also mentioned some limitations of the proposed devices or mobile application and provide an idea to overcome those limitations in the observation section.

Keywords: Stress Management, Smart Devices, Stress reduction, Stress Indicating devices, Stress Analyzing Device.

1,2,3,4 Department of Electronics & Communication Engineering , Prestige Institute of Engineering Management & Research, Indore, India


The Effect of Personal Selling on Firm Sales Growth in Insurance Sector

Kritika Jain1, Suvrata Pandey2

AbstractThe impact of personal selling and marketing on firm sales growth was critically analyzed using the state of Madhya Pradesh (India) as a research subject. This is a descriptive research project. In this completed analysis, a sample size of 50 respondents was selected using a questionnaire based on our research; we found a statically significant correlation between personal selling and organizational sales volume. Furthermore, since personal selling affects a customer’s desire for a product, this study suggested that sales representatives must be well trained in what is required of them for the job. This will enable them to inform consumers about the benefits they stand to gain upon buying a particular product.

Keywords: Personal Selling, Customers Demand, Organizational Sales Volume, Insurance sector

1,2Prestige Institute of Management And Research, Indore, India


Comparison of Water Quality Parameters from Different Sources and Storage Container

Materials to Assess Drinking Suitability – A Case Study

Rewa Bochare1, Arpit Dubey2, Asheer Syed3, Rajnandani Mourya4, Kaveri Narwade5, Rahul Verma6

AbstractDrinking water is important for the survival of all residing creatures on this planet. However, the high-quality of water that we devour largely determines our fitness and associated danger so are advantages. Ageantique Indian culture suggests the use of copper vessels, earthen pots and so forth. As utensils for the drinking of water. With modernization, several new merchandise have arisen inside the market. These study ambitions at assessing the goodness of consuming water utensils made up of various materials and attempts at concluding which boxes or fabric are most ideal for garage and consumption of potable water.

Keywords: Quality, Potable water, Health risk

1,2,3,4,5,6 Department of Civil Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Light Weight Concrete Using Silica Fumes

Kamlesh Dhone1, Pias Samuel2, Altamash Ali3, Pooja Nalya4, Shivam Yadav5

AbstractThe aim of the research is to identify the materials which make the concrete light and it should also have the strength. There are many types of lightweight concrete which makes the concrete light either by using lightweight aggregate or by using air entraining agent. The conventional aggregates are replaced by lightweight materials like silica fumes and Fly Ash which makes the concrete lighter than the conventional concrete. Comparison has to be made between plain cement concrete and lightweight concrete having different proportions of aggregates. Fly Ash &silica fumes content by the weight of cement has been taken into account.

Keywords: Fly Ash, Lightweight materials, silica fumes

1,2,3,4,5 Department of Civil Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Smart Traffic Control System at Signalized Intersection

Satyam Rajput1

AbstractIt is a system that manages the traffic in a city automatically by combination of signals, light beams and sensors. according to traffic it provides time to move the traffic or vehicle and the time it takes for the vehicle to leave from traffic after that is close the signal without involvement of human and it will prevent vehicles to violate signals or traffic rule and It provide authority to the drivers to move with confidence It also achieve free and rapid flow of traffic with least no. of accidents. Accidents generally caused by stop line crossing, red light crossing, over speeding etc. This system also prevents to the stop line crossing and red light crossing.

Keywords: Traffic control, signal, sensors

1Department of Civil Engineering, Prestige Institute of Engineering Management & Research, Indore, India


Design and Implementation of Inverter for Solar Eyelender

Dr. Dipali Sarvate1, Aayush Patidar2, Nitesh Dube3, Akshay Gupta4, Awez Khan5, Parikshit Verma6

AbstractSolar energy is an alternative renewable energy source. We provide a renewable energy system in which household AC power is used, which can be obtained from photovoltaic cells with various battery-less converter topologies. The energy consumed in the solar system. We propose a model in which photovoltaic cells (PV cells) can be used to generate DC voltage and feed it to our DC/DC converter using Boost. Inverter type. The step-up inverter provides constant power, which is controlled by the PWM controller and control system (MPPT control). The control system has a compensation network with different types and parameters. An algorithm is needed to track the peak power to maximize the energy produced. The energy from the photovoltaic cell and its power to the load through a boost converter, which boosts the voltage to the desired value. This DC voltage is fed to a single-phase inverter, which can generate a pure sine wave of 230 V and 50 Hz.

Keywords: Photo voltaic, maximum power point tracking

1,2,3,4,5,6 Department of Electrical Engineering, Prestige Institute of Engineering Management & Research, Indore, India

UNIT - 6Techno Managerial Business Analytics


Financial Inclusion: A Tool for Sustainable Economic Development

Dr. Rakesh Agarwal1, Ankur Jain2

Abstract Goal: This paper will describe financial inclusion (FI’s) variables and establish a model to explain financial inclusion’s impact on economic growth (EDs). Design/Methods/Approach: A formal questionnaire has collected primary data. The questionnaire was completed correctly by 411 of 450. The knowledge was obtained from Madhya Pradesh rural areas. For FI - related gage drivers/variables, exploratory correlation analysis has been applied. To assess the reliability and relevance of the variables found, confirmatory correlation analysis was used. A design and empirically validated structural model for ED to FI was proposed. Findings: The findings of the paper are most: Online banking (OB), Understanding banking services (UBS), financial literacy (FL) are the driving force behind FI; FI will trigger ED since FI supports the suggested ED model within the paper (χ2 /degree of freedom, CMIN/degree of freedom only, are 3; GFI & AGFI are 0.89; 0.86). By demonetization, people’s conduct about the way of financial transactions has shifted. (The financial transaction form evaluation for χ2 is considerable). Analysis Constraints/Implication: The spatial coverage of the survey should include the whole of India. Even from rural and concrete areas, the sample should have equal representation.

1St. Paul Institute of Professional Studies, Indore 2Devi Ahilya Vishwa Vidyalaya, Indore


Practical Implications: FI (OB, UBS, and FL) factors identified should be focused more closely in India to achieve more significant FI outcomes. These factors can make FI initiatives more accurate. In addition to the current situation, policymakers often trust in FI as an ED tool. Originality/Value: The three FI drivers identified were not previously explored. In addition to the current situation, ED (through FI) has not been tested further within the structural model type. By using the findings of this paper, the Government of India can revise its policies to FI. In addition to improved access to the masses by the structured economic system, OB and FL are often given a greater focus on enhancing India’s FI performance.

Keywords: Financial Inclusion, Financial Education, Demonetization, E-Banking


Effect of COVID Pandemic on Stocks of Top IT Companies of World: A Business Review

Dr. Jolly Masih1, Dr. Rajeev Raghuvanshi2, Sourabh Bhattachrya3

Abstract In the current period of time, when there is a havoc across the world due to COVID-19 virus outbreak, it becomes very important to foresee the impact of this pandemic on the world economy. This has attracted us to analyze and predict the stock market prices of some international IT international companies which provide employment to thousands of people and create revenue for many countries namely Google, Microsoft, Apple and Amazon. In this study, we have implemented algorithms such as SVM and LSTM on stock market data to see if major IT companies see a rise or fall during the COVID-19 pandemic. We have also used ARIMA forecasting method to predict the stocks of above mentioned 4 companies. This paper provides a simple but original statistical analysis of the impact of the COVID-19 pandemic on stock market risk for 4 major IT companies of the world. Results revealed that while some businesses like personal computers from Microsoft, I phone handsets, sale of luxury and fashion goods at Amazon has declined during the pandemic, thus leading to fall of stocks. However, some prominent other segments like online shopping, cloud computing and streaming video from Amazon, oversees Office, Dynamics, Skype, LinkedIn Intelligent Cloud from Microsoft, Google’s ad sales during the crisis and issue of cheap bonds by Apple came out to be the winning corporate strategies to fight the negative economic effect of COVID-19 and to stabilize the situation of stocks in coming months. This study may help investors and companies to sustain the tide of economic fall.

Keywords: COVID-19, stock prices, stock market volatility, Google, Microsoft, Apple, Amazon

1,2,3Prestige Institute of Engineering Management, Indore, India


Understanding Retail Store Antecedents Post Pandemics: The Relationship Between

Merchandise Familiarity, Purchase Intensions and Customer Satisfaction for Food Private

Label Brands

Vilas Nair1

AbstractDuring the pandemic private brands played a vital role, the preference of customers has enhanced. Private label has not only differentiated from their competitor assortments, but also defined and reinforced the brand at every level. Retailers has now started following consumers not the national brands. The development of food private-label products and the new challenges that this will present for brands and manufacturers across the globe post pandemic. Consumers often identifies the with familiar retailer. This involves creating, building, and managing differentiated retail store brands, and image differentiation, to attract and retain shoppers post Covid-19. The objective of the study is to explore the reasons of how and why consumers make private label brand choices and investigate the existence of private label post pandemic This research studies store familiarity and preferences for buying private label brands, while examining the managerial implications and opportunities for the same. Results show that the effect of store familiarity and store features has a significant role in purchase preference of the store brands post pandemic.

Keywords: Private labels, store familiarity, and consumer preference.

1Prestige Institute Engineering Management Research Indore, India


Assessment of Consumer Preference and Consumption Pattern of Flavoured Milk

among the Consumers in Jaipur City

Dr. Molshree Rathore1, Damandeep Kaur2, Dr. Jolly Masih3

AbstractEverybody knows about the importance of milk and its relation to good health. Its versatility allows it to be consumed hot or cold, to be used to make milkshakes and smoothies, and to be added to coffees, teas and hot cocoa for added nutritional value. Flavoured milk is the second largest widely consumed liquid dairy product after plain milk. The concept of flavoured milk is not new to India. For centuries Indians had their milk flavoured with traditional condiments, like ellaichi (cardamom), kesar (saffron), badam (almonds), etc. Besides flavour these drinks were also consumed for their health benefits. A study was conducted on the ‘Quality Assessment of Branded Flavoured Milk sold in Jaipur City’ to analyse the consumer preference. The results revealed that 90 percent of the respondents preferred flavoured milk than other beverages and most of them opted branded flavoured milk. The most preferred flavour milk by the consumers was chocolate flavour.

Keywords: Consumers, beverages, ingredients, nutritional value, nutrients, preference.

1National Nutrition Consultant and Co-Convenor Indian Dietetics Association, Rajasthan Chapter 2DaDa Analtix Pvt Ltd, India 3Prestige Institute of Engineering Management, Indore, India


Liquidity Management of Indian Manufacturing Sector

Dr. Ankita Rajdev1

AbstractThis study examines the Liquidity management of Indian manufacturing sector sub dividing in seven sub major sector as Automobile, and Auto Ancillary Manufacturing Sector, Pharmaceutical Manufacturing Sector, Metal & Mining Manufacturing Sector, Chemical and Paints Manufacturing Sector, Cement Manufacturing Sector and Consumer Goods Manufacturing Sector and Power Equipment Manufacturing Sector. The study collects data from National stock exchange for the period of 2008-2018. Ratio analysis focusing on five major ratios as Current Ratio, Quick Ratio, and Current Asset to Total Asset (CATA) Ratio, Working Capital Turnover Ratio and Inventory Turnover Ratio were used to analyse the data. The study show that Indian manufacturing market is a very versatile market as of liquidity some companies believe in keeping too much cash and some working in credit The overall analysis have shows that pharmaceutical sector seems to be very liquid as per ratio analysis however the automobile seems to be weakest one among all.Keywords: Liquidity Management, Profitability management, Ratio Analysis and Indian Manufacturing sector.

1Amity University, Dubai


Review on Interrelationship Between Intellectual Capital and Fiscal Performance

of Companies

Vaishnavi Balaji1, Dr. Rajesh Mamilla2

Abstract The study is aimed in analyzing the impact of Intellectual capital on company’s performance. To explore the interrelation between intellectual capital and market value of companies and to analyse the impact of individual elements of Intellectual capital on financial returns of companies. The cataloguing of the reviewed articles has been done focused on the association between Intellectual capital, its value creation and financial results of companies. Intellectual capital’s effect on fiscal performance of banks, mediating effect of Competitive advantage, Innovation and Organizational learning between Intellectual capital and Company performance. Disclosure of intellectual capital, Influence of Intellectual Capital on performance of SME’s and pharmaceutical companies. From these reviewed articles it is understood that a significant role is played by intellectual capital in enhancing company’s profitability and in gaining competitive advantage. Considering wholistically, Intellectual capital impacts company’s financial profitability, but findings differ when Intellectual capital components are analyzed separately. From few studies, regarding productivity and firm value the influence of intellectual capital is insignificant. This study proves that Intellectual capital contributes to a greater extent in enhancing companies’ profitability, innovation etc. Thus, Organizations

1,2 Vellore Institute of Technology, Vellore, India


can achieve a greater competitive advantage and profitability by investing in intellectual capital resources. The main contribution of this study lies in analysing the impact of Intellectual capital on performance of various sectors like Banks, Pharmaceuticals, SME’s, MNC’s, Exports etc in terms of value creation, profitability and productivity.

Keywords: Value added Intellectual capital (VAIC), Value added capital employed coefficient (VACA), Intellectual capital (IC), Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE), Relational capital Efficiency (RCE).


Exploring the Influence of Online Social Networking at Workplace and Its Impact

on Employee Productivity — An Empirical Investigation

Priya Jindal1, Jasmine Kaur2

Abstract The prospects of the success of an organization will be determined by various factors and employees are no less than an essential asset for any successful organization. Employees are value creators and fortune makers for organizations. Today the success story of organizations depends heavily on the skill and caliber of the employees. Currently, organizations are working in a cut-throat competition-type environment. To have a sustainable competitive advantage the organizations are progressively more interesting to adopt advanced technologies for the smooth functioning of their business operations. The cyber age has offered a plethora of online social networking platforms commonly known as social media. Social media, a powerful tool is used not only for enjoyment and socializing, but it also caters to the business motives in every organization irrespective of its nature. However, the organization faces tremendous challenges while utilizing social media at the workplace among employees such as interruption of their productivity through time wastage. Therefore, the awareness regarding the impact of the usage of social media platforms in context with the employee’s productivity is limited and there

1,2Chitkara Business School, Chitkara University, Punjab, India


is a need of the hour to create a fine tune between the social media usage at the workplace and its impacts on worker’s productivity in relation with the use of precious organizational possessions and valuable era. This empirical research examines the influence of online social networking on employees’ productivity in the service-providing sector. 392 respondents agreed to respond to the survey data. To collect the data Simple random sampling method was used. A SEM method was adopted for analyzing the data. It is concluded that there exists a constructive and relevant connection between the usage of social media at their workplace and employee productivity by increasing collaboration among individuals having common interests and goals. Enhanced collaboration certainly will encourage the transfer of knowledge in the form of information and facts sharing among persons with the possible projection of increased productivity. Since the use of social media is unavoidable in competitive environments at the workplace, therefore the management in an organization needs to find out a strategy to generate the utmost advantage of its application in various business dealing processes.

Keywords: Online social networking, employee productivity, Service providing sector, etc.


Information Technology Based Services and Operational Controls in Banks

Priya Jindal1, Jasmine Kaur2

AbstractThe research paper provides a view on the role of information technology in the application; and the level of control affected by identified IT-based core banking services, Expected banking services, augmented banking services, and growing potential banking services in the first part. In the second part of the chapter level of problems affected by information technology-related functions and the time taken to resolve them are discussed. For the identification of the application of IT-based services, data from 80 bankers (40 from public sector banks and 40 from private sector banks) working at the operational level in head offices of the selected banks was collected. Data was collected by the way of a questionnaire. Although Information Technology functions enhance productivity in banks, research on assessment of the problems concerning the time taken to solve these problems is still missing. Technology allows banks to run on the concept of 24 X 7 working which has been made possible by the use of Telebanking, ATMs, Internet banking, Mobile banking, and E-banking. Considering the importance of Information technology in banking, it is highly important to access their usage and the level of control affected by them. Core banking services are inferred to be closely associated to control and are also considered critical to the bank. No doubt, these services are also sensitive and cannot be ignored completely while establishing control functions, but they pose little threat

1,2Chitkara Business School , Chitkara University, Punjab, India


on the overall functioning. Thus, they should be timely checked for making betterments. Expected banking services reflect that maximum respondents reported that facility for card payments have a strong relationship with control. Therefore, banks should make necessary plans to check the security issues regarding cards. Augmented banking services: Some of the Augmented banking services are closely associated to as inferred from the responses mentioning them to have some or little extent of control. This justifies that they have an influential effect on the existing control system. The findings indicate growing potential services as the majority of the respondents argued that services are closely associated to control services and have some or little level of control.

Keywords: Credit cards/Debit cards, Mobile banking, Internet banking, and Fund transfers.


Bird’s Eye-view of the Indian Manufacturing Sector to Assess the Impact of COVID-19

Rishab Kaul1, Rajesh Mamilla2, Subharthi Saha3

AbstractThis paper aims to assess the impact of COVID-19 on the Indian manufacturing sector through a detailed technical analysis of the S&P BSE India Manufacturing Index. Stock prices have long been used as an effective financial indicator and thus our study follows an in-depth approach to

interpret and predict the outlook and general trend of the manufacturing sector in India. Through this paper, we also identify the top and bottom performers of the index in the time frame under consideration. We argue that the reaction of the market was largely excessive and fuelled by negative investor

sentiments. As more information about the pandemic became widespread and manufacturing companies began to cope with the restrictions, the index retraced itself and showed a strong recovery. We forecast a bullish behaviour of the index in the coming months through the predicted trend.

Keywords: COVID-19, stock prices, technical analysis, India, manufacturing, S&P BSE India Manufacturing Index, stock indices, market crash, volatility, bullish, bearish, forecast, trends, investor sentiments, outlook, recovery

1,2,3Vellore Institute of Technology, Vellore, India


A Study on Effectiveness of Training Programs for MBA Students

Sarita Vijayvargiya1, Sourabh Bhattacharya2, Megha Sharma3

Abstract In the era of competition, students join professional courses to secure a well-paid job in a reputed organization. Nowadays, the Training and Placement Cell (TPC) has become an integral part of any institution. Training and Placement cell imparts information and/or instructions to improve the students’ performance or to help them to attain a required level of knowledge or skill. The present study assesses the effectiveness of training programs among MBA students in the Prestige Institute of Engineering and Management, Indore. The findings show that the assessment parameter Aptitude has a strong relationship between Quantitative, Analytical and Excel, and PowerPoint. Most students need the training to get a job in their respective areas. This study will help the training and placement cell in evaluating the effectiveness of their training program.

Keywords: Training, Placement, Students, Performance, MBA

1,2Prestige Institute of Engineering and Management, Indore, India; 3HNB Garhwal University, Srinagar, Uttarakhand, India


Effectiveness of IMC Tools for High Involvement Product Purchase

Dr. Reena Malik1, Dr. Sonal Trivedi 2

Abstract No marketer can afford to ignore the importance of IMC tools as it serves various benefits and offer varied opportunities in order to establish and market a product or service. The study is conducted in order to check the effectiveness of various integrated marketing tools on the purchase decision of Indian youth while making purchase for high involvement products. This study has taken sample of 376 students of four universities from Haryana and Punjab, India. Data collected has been analyzed by applying various descriptive and inferential statistics. The results indicated the most effective tool of IMC which majorly influence the purchase decision of youth in case of buying high involvement products is word of mouth and the least effective is public relation and advertising.

Keywords: IMC, expensive products, high involvement, purchase decision, tools of IMC

1,2Chitkara Business School Chitkara University Punjab, India


A Study on Stimulators and Inhibitors of Insurance Services among Rural Customers in

Thiruvarur District

Anand Thakur1, Manpreet Kaur2

AbstractInsurance sector made an important contribution towards development of rural areas even though there is problem of low penetration in insurance business of rural areas. According to report of IRDAI, insurance penetration was 3.71% in financial year 2019, which is still low in India. There is rapid growth in insurance business from a last decade but even though there are severe problems. A variety of wide services are provided by insurance industry in rural areas such as crop insurance, live stock insurance, tractor insurance, fire insurance, rain insurance etc. Rural life insurance is also prime concern that insurance companies are focussing on it. When Insurance is used as investment and tax saving tool by people then it becomes relevant to determine stimulators and inhibitors of insurance services in rural areas. In Thiruvarur district of Tamilnadu, a single cross sectional survey is conducted among rural people and results are analysed using Z test. Findings of this study disclose that family, relatives, friends & neighbours are key stimulators while complex policies, lack of adequate knowledge, financial crisis and illiteracy are prime inhibitors. Relevant recommendations are suggested at the end for untapped rural areas.

Keywords: Insurance services, Rural insurance, Stimulators, Inhibitors.

1,2Central University of Punjab, India


Overall Impact of Soft Skill on Career Graph of an Individual

Vibha Atre1, Arti Rao2

Abstract This review paper focuses on our young brigade who will soon venture into their professional domain to secure high quality dream jobs ensuring decent career paths. Therefore through this paper emphasis has been laid at providing insights to our graduating students about importance of Soft Skills and their impact in shaping career graphs. In the present scenario most of the enterprises or organizations generally recruit newly graduated students in view of their soft skills rather than hard skills because in order to be in the forefront of the competition, every organization requires efficient and effective personnel and a collaborative and coordinating working culture which defines the quality of the institution as a whole. A proposal to follow a training module by the name “Campus to Corporate Training” has been suggested through this paper to cultivate and develop the basic soft skills desired in the corporate world. Therefore A narrative review helped in giving proper justification to the topic of review based on the other papers published under same area of concern.

Keywords: soft skills, hard skills, campus, corporate

1,2Applied Science & Humanities, Prestige Institute of Engineering and Management, Indore, India


Determinants and Their Impact on the Bank’s Dividend Policy: An Evidence from India

Dr. Ketan Mulchandani1

AbstractDividend policy is always the area of interest for academic research due to its crucial role in corporate finance. Previous research conducted by researchers regarding exploring and analyzing the impact of dividend policy determinants had mixed results. The present research work focused on exploring the internal or firms’ specific determinants and examined their impact on the selected Indian bank’s dividend policy. The study period considered from the financial year 2014-15 to 2018-2019, i.e., 5 years and 25 listed banks were selected as a study sample based on the data availability. Data is analyzed through correlation and multiple linear regression statistical tools. Earning Per Share (EPS), Price Earnings Ratio (PE), Last Year Dividend (Divt−1), Capital Ratio (CR), Natural Logarithm of Total Assets of Banks (Size) and Cash Flow Per Share (CF) were considered independent variables. Current years dividend is considered as a dependent variable for the present research work. The results revealed that Earning per share had a positive and significant impact, and the capital ratio had a significant negative impact on the dividend distribution. Other independent variables had no statistically significant relationship with the dependent variable.

Keywords: Dividend Distribution, Dividend Policy, Earnings Per Share, Capital Ratio, Multiple Regression

1GITAM School of Business, GITAM (Deemed to be University), Bengaluru


Adoption of Digital Technologies — A Banking Strategy for the New Isolation

Economy

Priya Jindal1, Rikkee Mishra2

AbstractBanking sector in India has been categorized as an essential service. As per 2017 global findex report by the World Bank, India has the second largest population (around 190 million adults) across the globes, which do not have an access to a bank account. The primary focus is to use mobile and internet facility to promote technology for enabling digital financial inclusion. The outbreak of Covid-19 brings extreme changes in our lives. As Covid-19 impacts the global economy, the most crucial point for most of the firms would be to ensure sustainability of their business. It is accepted that the pandemic bring a turning point in modern history. Society is now said to be entering a new phase; i.e. the ‘isolation economy’. This is being introduced by the Covid-19 pandemic, and is compressed the previous terminology in terms of ‘social’ and ‘sharing’ economies. The situation currently prevailing has led many experts to opine that the world we are entering will be significantly different from the world before pandemic. Banks sit at the heart of the economy and provide funding to business corporate and individuals. The Covid-19 pandemic could be one of the most serious challenges faced by financial institutions like banking sectors in India in the near future. Even during the period of lockdown and health crisis, Banking and financial institutions were under immense pressure to ensure that banks continue to work. One

1,2 Chitkara Business School, Chitkara University, Punjab, India


major initiative to ensure continuity and mitigate impact of Covid-19 by the banks has been to increase their digital offerings, and bring structural and operational improvements in delivery of online services, including an enhancement in number of digital touch points offered to their customers. In the near future also, public are more likely to witness increased number of digital banking apps, with enhanced security features, improved and simplified user experience with better streaming of services. In turn, this will aid the country in reducing barriers of digital and financial literacy. Further, these measures will bring behavioral changes in customers of the banks, such as developing a habit of spending very less time in physical bank branches, once the crisis posed by Covid-19 ends. This implies that banks will need to re-devise their strategies to ensure more of digital offerings such as marketing banking products through digital channels to create a balance among the loss of sales acquired through branches. In essence, all banks whether they have invested or have initiated investments in digital transformation, need to put more efforts to direct even more resources toward digitization, grasping the opportunity that Covid-19 presents.

Keywords: Banking Sector, Financial Inclusion, Pandemic, Isolation Economy


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Dr. Davish Jain (Chairman, PEF)

Dr. Anna Friesel (Professor, Technical University of Denmark)

Mr. Bhuvan Damhe (DGM at Larsen & Toubro Limited, Mumbai, India)


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Scopus, ABDC & NAAS rated Journals at ICIAETM-2021

Dr. Jolly Masih (Convenor, ICIAETM-2021)

Late Dr. Rajkamal (Professor Emeritus, PIEMR,

Indore)

Dr. Satyam Priyadarshy (MD, India Center, Halliburton,

USA)


Team ICIAETM-2021

Dr. Anil Bajpai (COO, PEF, Indore)

Dr. Manojkumar Deshpande (Director, PIEMR, Indore)


Joy of ICIAETM-2021 success

Left- Mrs. Sadhna Tiwari (Co-convener, ICIAETM-2021) Middle- Dr. Jolly Masih (Convenor, ICIAETM-2021)

Right- Dr. Dipti Chauhan (Co-convener, ICIAETM-2021)

Innovative Applications of Emerging Technologies ... - PIEMR

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