CHAPTER 2 LITERATURE SURVEY - Information and …shodhganga.inflibnet.ac.in/bitstream/10603/42003/7/07_chapter2.pdf · CHAPTER 2 LITERATURE SURVEY 2.1 INTRODUCTION This chapter discusses

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CHAPTER 2

LITERATURE SURVEY

2.1 INTRODUCTION

This chapter discusses about the literature survey of DAQ

methodologies which includes ARM Processor based, Internet based, FPGA

based, Wireless, RTOS based, VI based, USB based, Network based, PC

based, Web server based multichannel DAQ systems utilized for design and

implementation.

2.2 ARM PROCESSOR BASED DAQ SYSTEM

Shaik (2011) presented an ARM based DAQ on a single chip which

is an intelligent remote unit based on embedded technology for Data

Acquisition, Monitoring and output control. This system provides flexibility,

reliability, durability with low power consumption and cost effective.

Xiangyang Li et al (2012) introduced an intelligent home appliance

control system. User can control appliances through the handheld mobile

terminal. The system was developed using ARM processor, embedded Linux

OS and ZigBee wireless communication technology. The appliances like a

Lamp, Refrigerator, Air Conditioner, and TV are controlled by using touch

screen mobile terminal and transmitted via the wireless ZigBee terminal using

ARM processors.

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Chen-Ling Chou & Marculescu (2010) have dealt a run-time

strategy for allocating application tasks to embedded multiprocessor network-

on-chip platforms. Efficient algorithms have been designed for solving the

task allocation problem in order to minimize the communication energy

consumption and network contention. Under user behaviour consideration

around 75.8% of the communication energy can be saved when compared to

an arbitrary contiguous task allocation strategy.

Patel Hiren & Patel Dipak (2012) have focused on industrial

automation with ARM Cortex-M3 Microcontroller and GUI based LabVIEW

software tools. The DAQ designed here to integrate a DAQ card which has

ARM Cortex-M3 and LabVIEW application. DAQ card is connected to the

internet so that data are accessed from any internet connected PC. The tools

available with LabVIEW prove very beneficial in developing application

faster and easier.

Ying-Wen Bai et al (2010) introduced an embedded home

surveillance system with ARM and multiple ultrasonic sensor modules. Here

a Majority Voting Mechanism (MVM) for a group of sensors is introduced.

The sensors detect signal blocking which confirms intruder detection and

starts Web camera. An embedded Web server is used for uploading images

after finishing the image captured by the camera.

Tao Li et al (2011) presented an intelligent ARM9 multitask DAQ

system. ARM9 core communicates with the PC using UART. ARM9

processor board is connected to the host computer running user interface

software that displays the sampling output result. This system successfully

achieved intelligent design and dynamic priority scheduling and other

functions.

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Qin Bin et al (2012) presented a new DAQ system based on 3G

technology using ARM embedded processor and SIM308 which consists of

data collection terminals, wireless communication networks, workstations and

data centres. It uses Browser Server (B/S) structure, using the Web to provide

human-computer interaction which is published on the network. The use of

3G for a network can transmit complex data such as video, images and sound.

2.3 INTERNET BASED DAQ SYSTEM

Krishna Kishore et al (2010) introduced a low-cost internet based

DAQ and control system with X86 based stand-alone unit. It uses GPRS,

GSM and GPS technologies for tracking, communicating, and Real-time data

transferring. A method to distribute the IP information is developed for

mobile systems using wireless communication.

Sandeep & Malyadri (2012) presented a system for internet based

DAQ system using ARM processor and inbuilt Web server application with

GPRS technology for controlling the devices. GSM makes it accessible from

anywhere in the World through Web server using NUT OS. It achieves direct

bidirectional communication and reduces overhead even with large amounts

of data.

Chandra & Venugopal (2012) have dealt the design techniques to

access experiments on electrical machines remotely through the Web using VI

tools. The custom-built electrical hardware was designed to interface the Web

server with the experiment resource and to support user friendly interface to

access the data line. The designed system exploits the DAQ and the

LabVIEW features to control the DC motor.

Min Wu et al (2008) described an Internet based Teaching and

Experiment System for Control Engineering (ITESCE) that provides students

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with online course material, a simulator and the ability to store, search

simulation and experimental results. It was based on a standard

browser/server architecture in which a browser structure was employed so

that a client can carry out an experiment from a Web pages and

communication programs uses the TCP and HTTP protocols. It provides

students with user-friendly interfaces and Real-time video of the experiments

being performed.

Alkar & Karaca (2009) analyzed a GPRS based portable low-cost

DAQ system which can establish a reliable bi-directional communication and

eliminates the need for server software and maintenance. It makes the use of

direct bi-directional communication and reducing overhead within the large

amount of data.

2.4 FPGA BASED DAQ SYSTEM

Thanee et al (2010) developed an FPGA based multi protocol DAQ

system with a high speed USB interface using the FPGA chip as the main

processing unit. This system allows the user to interface with a processing

unit EP1K10TC144-3 Altera. It can be interfaced to the ADC input devices

with any protocols to the PC independently. It is feasible to add more

channels in FPGA. This system is one of the useful solutions for the DAQ.

Abdallah et al (2011) revealed a DAQ and processing system to

acquire data from multichannel in system-on-chip via Field-Programmable

Gate Array (FPGA) by using super high speed ADC with an optimal sampling

scheduling technique to reduce the cost, circuit complexity and power

consumption. It works in a stand-alone mode without the PC and can be used

for real-world applications.

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Choubey et al (2006) presented a reconfigurable hardware platform

for DAQ applications and an efficient programming modelling Ptolemy II

framework and showed how an application model is mapped to the platform

model. This system provides simplicity, correct by design, efficient in terms

of bandwidth and resource usage. The JAVA network co-generator maps a list

of ports to VHDL code for transmitter and receiver blocks. Timing can be

extracted from the PMT pulse by sampling the waveform. For PMT pulses

three free parameters (amplitude, offset and a pulse time) are used and three

samples are enough to calculate pulse parameters.

Abdallah et al (2009) presented a hardware reconfigurable system

for audio acquisition, processing, storing and monitoring which uses SoC

technology. Hardware-software co-design integrates all functions needed for a

single FPGA which is capable of collecting and processing multichannel

audio data without the PC. An SD card was used for further analysis and

storage. The system can map the different functions into a single FPGA chip

and reduces switching time.

Robson et al (2006) developed in advanced FPGAs which allow

considerable flexibility, both during development and in production use. They

have designed a modular development framework that overcomes the issues

of increased complexity. The controller uses both soft and hard processors

with or without an RTOS based on the demands of the system to be

developed. The resulting system uses the internet for both control and DAQ.

Monmasson et al (2011) reported the state-of-the-art of FPGA

technologies and their contribution to industrial control applications. To

illustrate the benefits of using FPGAs in the case of complex control

applications a sensor less motor controller has been treated. The FPGAs is

used to implement artificial intelligence based industrial controllers. The

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hardware solutions can be perfectly addressed the current challenges such as

high control performance, low cost, reliability and power consumption.

Daming Liu et al (2010) developed an effective driver program

under embedded system. Multi DAQ cards with PCI bus are grouped to plug

in to the host target PC. During the experimental testings the DAQ system

based on embedded system runs in good condition. The DAQ system under

DMA mode has gained high speed acquiring sample rate up to limited range.

Gan-Ping Li (2010) presented an embedded control and DAQ for

industrial LAN with ARM controller. Real-time database is also important for

item values and display information. This system provides a platform for

diverse control and acquisition applications. In addition a RS-485 serial port

provides an alternative interface for conventional control and acquisition

applications. Thus the embedded system is a low-cost and compact system

that is useful for industrial applications.

Gori et al (1999) presented a pulse counting multichannel DAQ

system characterized by the number of fast acquisition channels, embedded

control architecture, system modularity and portability. Multichannel

integrated counting section has been developed in order to put an ultra high

vacuum directly in close proximity of the anodes and will be connected to the

outside using a fast serial port. In this way the numbers of acquisition

channels are increased and bidirectional detectors are also utilized.

Monmasson & Cirstea (2007) have depicted an overview of FPGA

technology, design methodologies, development tools and relevant CAD

environments using HDL. FPGA plays major role in the control of industrial

systems. This provides direct torque control for induction motor drives and

diesel-driven synchronous stand-alone generator with fuzzy logic and DSP

controller.

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Feng et al (2012) implemented an embedded system for sensor

communication and security which uses I²C as communication mode sensors

and PIC182585 hardware. It includes system on board which contains

sensors, Q2 microcontrollers, an FPGA and peripherals. This hardware design

provides high level integration, reliability, high precession, high speed

communications, security and flexibility in accommodating a number of

sensors.

Koestner et al (2008) reported the structured software layer to

control the large amount of detectors to acquire multiple numbers of inputs to

the DAQ system for the case of LHCb. These tools are used to build the

Experiment Control System (ECS) which is only interfaced for the operator to

handle configuration, monitoring and operation of all experimental

equipments. The protocol used for Serial Protocol ECS (SPECS) is similar to

the I2C protocol with start and stop conditions implemented as a specific

transition of the data line when the clock line is at a high level.

Lili Liu et al (2011) introduced the theory of steam interface driver,

structure and implementation of the acquisition card ADT882 for WinCE6.0.

It provides C++ classes that can be used to simplify writing ADT882 drivers

and adopts an object oriented approach. Driver designed to realize the module

and platform for semiconductor equipment and to implement unified

framework of I/O service interfaces. It provides better performance, accuracy

and stability.

Ying-Wen Bai et al (2011) implemented a home embedded

surveillance system with Ultra-Low Alert power using Pyroelectric Infrared

sensors (PIR) sensors and pressure sensors as the alert group which uses an

MVM to manage the sensor group. Multiple sensors are used with low power

consumption for the detection of an intruder.

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Ludvig et al (2001) revealed a reprogrammable platform for high

speed DAQ system. FPGA based network analysis has been performed for

high speed data communication. The data packets were transferred from a

transmitter node and output was obtained at the other end using the combiner

circuit using FPGA. The Ptolemy state machine model can be mapped

directly onto a VHDL description.

Yu-Shen Yang et al (2012) discussed an automating data analysis

and acquisition setup in a silicon debug environment where the design errors

are avoided. It introduces a new technique to automate the configuration

process using Core 2 Duo 2.4GHz processor with 4GB RAM memory. This

methodology used the circuit hierarchy to debug the failures which narrows

down the window of cycles where the error is exercised.

Li Nan et al (2010) implemented an FPGA based novel embedded

automobile DAQ system which is used to record vehicle environment drivers

operation information. It uses Ethernet for wireless communication. The user

can communicate with the DAQ system based on FPGA which acts as a Web

server. This system is more flexible in operation and more convenient to

transfer the data.

Chong-Jing Chen & Chou (2008) reported the study of a densely

distributed Real-time system for high data rate wireless DAQ. This case study

illustrates the impact of communication requirements on the rest of the system

including bus and processing speeds. Radio interface can be implemented

with either General Purpose I/O (GPIO) in software or SPI in hardware. Main

objectives with EcoDAQ are bus arbitration and retransmission routines from

the sensor nodes to the base station and the host.

Robson et al (2006) described the replaceable middleware

communication modules for distributed DAQ systems. The system is

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developed using a package with a replaceable set of middleware applied to the

control and DAQ system for a SPECT camera and other in-house projects.

The processor used for the implementation is the Virtex4 FPGA from Xilinx.

The implementation is developed using LabVIEW and Java clients for

controlling the system.

2.5 WIRELESS DAQ SYSTEM

Goswami et al (2005) described a wireless DAQ system for

encoding and decoding. Optimization of the location and excitation of the

coils is achieved by Genetic Algorithm. This is a challenging and growing

technology in measurement, evaluation and monitoring of subsurface objects.

The coverage area can be increased by collar antenna.

Anitha et al (2011) revealed an embedded Bluetooth DAQ system

designed using ARM to collect the information from different subsystems of

the Unmanned Underwater Vehicle (UUV) into CDAS (Control DAS) for

processing and storage. This functionality was achieved by using Bluetooth

modules at Subsystem and ARM processor controls the Bluetooth chip to

acquire the data for processing.

Hua Fang et al (2011) introduced the overall structure of the

wireless DAQ system, software process and acquisition hardware circuit with

ARM7 processor combined with µCOS-II RTOS and GPRS for online Real-

time DAQ, processing and transmission. The system hardware has features

like small size, low-power consumption, stable operation, program

maintenance and up gradation. This system overcomes many practical

difficulties experienced in industries and provides fastest communication,

accurate, low-cost, Real-time, secured and indeed provides a better choice for

DAQ.

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Dae-Man Han & Jae-Hyun Lim (2010) introduced a new smart

home energy management system transparently unifies various home

appliances, small sensor and wireless communication technologies. A new

smart home energy management system based on an IEEE 802.15.4 and

ZigBee are suggested. This smart home energy management system divides

and assigns various home network tasks to the appropriate components. New

routing protocols to improve the performance of ZigBee sensor networks are

also developed.

Hemanth Kumar & Manjunath Iakkannavar (2012) discussed an

environmental monitoring and control system using ARM9, ZigBee and

GSM. The parameters of temperature humidity, light and CO2 are sensed and

processed via AT89C51 microcontroller and transmitted over ZigBee. GSM is

used to achieve system remote control which improves the flexibility and

scalability of the warehouse management.

Jin-Shyan Lee et al (2007) presented a comparative study of

wireless protocols like Bluetooth, UWB, ZigBee and Wi-Fi for short range

wireless communication. This study reveals that the Wi-Fi technology is used

as an extension or substitution for cable networks. Obviously UWB and Wi-Fi

transfers with higher data rate when compared with Bluetooth and ZigBee

technologies. In addition it also compares radio channel co-existence

mechanisms, network size and security.

Al-Ali et al (2011) developed a home monitoring system which

utilizes on-line map from the GIS in conjunction with public satellite based

GPS and GPRS. This system allows homeowners to remotely monitor critical

home sensor status, like fire, flooding and gas leaks. The monitoring service

is accessible through the mobile phone or internet with GIS maps.

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Zexin Zhang et al (2012) presented a remote Real-time monitoring

system for embedded devices based on GPRS with a client-server architecture

where the client is responsible for collecting the data and server includes on-

line monitoring of sensor device, data management and log management. The

design process of a sensor monitoring system based on GPRS, functional

modules composing the monitoring system, communication and test results of

the system are described.

2.6 REAL-TIME OPERATING SYSTEM BASED DAQ SYSTEM

Li et al (2010) presented the DAQ method which is used to

continuously acquire diagnostic signal data from the digitizer to the data

servers in order to retrieve the data in Real-time. The limitations experienced

in the conventional method are eliminated by using an FPGA and ARM

processor to realize the continuous DAQ and Real-time data transmission to a

long-pulsed discharge. The new DAQ device integrates signal conditioning,

signal converting, data processing and transmission in one board.

Stephen Nischay & Latha (2012) realized a Linux platform based

DAQ system that helps the user to monitor and control the data to the

standard Web browser. The user will be monitoring the data collected by the

sensors like temperature, light intensity, smoke and can remotely control the

same. It consists of application programs written in C and QT IDE for

accessing data through serial port and updating on the server. Porting of

Linux kernel with application program on ARM9 board and all other

supporting file systems will be done by using DNW tool through serial

interface.

Billy Rakesh Roy et al (2009) developed an embedded Web server

using ARM9 processor and Real-time OS µC/OS-II. The µC/OS-II was

successfully ported to the ARM and the Web server application was

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configured with the OS. This embedded Web server was developed by using

embedded C language which is useful for remote DAQ system and ATM

network. This embedded Web server replaces the PC required for remote lab

with special hardware and software.

Mason (2002) proposed a handheld DAQ system for use in an

engineering course. The system is based on a pocket PC and a low-cost serial

DAQ card. This system runs under Windows CE Real-time OS. Several lab

experiments were developed that complement the DAQ hardware. The

handheld systems have proven to be an excellent replacement for the desktop

DAQ systems.

Andrade et al (2011) discussed about the control of electro-

electronics devices using PC software and embedded system, sending and

receiving remote data over 1Km. The MCU kit used is a PIC micro chip

18F452-I/P which is programmed using C language in the Micro C pro

version 1.6 Integrated Development Environment (IDE). The implementation

could be used in industries to control devices, gates, alarms automatically and

also via internet.

Ying Liu et al (2007) given an overview of Experimental Advanced

Superconducting Tokamak (EAST) distributed data system using the HT-7

data system and it was a Real-time, distributed and scalable system. It

includes DAQ system, data service subsystem, control subsystem. Data

service subsystem is responsible for storing and publishing data. The EAST

system provides easy connections, fast, flexible and convenient data support

for the user.

Girerd et al (2000) presented a DAQ scheme for the OPERA long-

baseline neutrino experiment based on Ethernet with 1000 nodes of 64

channel front-end modules. Each node is controlled and read out by an

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embedded Ethernet chip. A custom ASIC from Agilent Laboratories includes

an embedded Web server with IEEE 1451.2 standard. The standardization of

Ethernet and continuous upgrading makes the use of Ethernet as a unique

network for data transmission and slow control conceivable.

Yuxin Li & Qun Wang (2011) realized an embedded field geology

multimedia DAQ system based on the Windows Mobile 6.5 platform which

uses Windows Mobile SDK. This system is built on Windows OS which uses

Visual Studio .Net 2008 as platform and C# as its programming language. A

seamless connection and management between geology multimedia data

collected by handheld device and multi geological database are also realized.

Puchr & Ettler (2012) designed an embedded system for a fast

DAQ system based on co-operation of two OS platforms. The main

contribution of this paper is to provide a method of integration with two

different OS tightly cooperating within an embedded device. Real-time Linux

OS is used for the application development. Designed DAQ system was tested

at Rational Data Base (RDB) Configuration with 32 analog, 128 digital and 8

incremental inputs.

2.7 VIRTUAL INSTRUMENTATION BASED DAQ SYSTEM

Yazidi et al (2011) depicted the development of a virtual platform

for a Web based remote application dedicated to conditional monitoring and

fault detection for AC electrical machines. The complete system can be

controlled in both local and remote modes by using internet connection. Some

examples of rotor broken bar detection using classical techniques have been

presented to prove the effectiveness of the proposed platform.

Jabbar Khan et al (2010) dealt about the simulation of electrical

machine laboratory experiments which are the part of lab session at

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undergraduate electrical engineering using LabVIEW. It uses graphical

language which allows a natural vivid and user friendly interaction. The same

idea can also be extended for another course lab session in parallel with

hardware based labs. The simulation carried out can be utilized to perform

online experiments not only at campus level but also from remote locations

using a Web browser.

Chi Chung Ko et al (2001) presented a new Web based virtual

laboratory on a frequency modulation experiments for the teaching an

undergraduate course. The laboratory requires only a common Web browser

to access and incorporate schemes for reducing data traffic and authenticating

users. It enables students to have a natural hands-on experience of using an

expensive spectrum analyzer on a one-to-one basis.

Zilong Wang et al (2009) focussed on the development of two

DAQ systems which are designed using VI system and MCU for measuring

ocean turbulence. Weak signals are acquired accurately with shear probes.

Measurement and monitoring of ocean environment were carried out using

LabVIEW. This provides high precision, flexibility, good reliability, reduced

size and low power consumption.

2.8 USB BASED DAQ SYSTEM

Yujun Bao & Xiaoyan Jiang (2010) presented the USB based DAQ

system card brought great changes in PC connecting technology which

provides good performance, low power consumption, low cost, high

transmission velocity, high speed data pipe, increased reliability and supports

plug and play.

Silva et al (2011) introduced the Real-time acquisition system in

industrial applications. An embedded system is designed to tackle need of the

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-time DAQ. The prototype

developed requires the co-design of hardware and software. It also requires

USB connection, mass storage capability, database support and an Ethernet

connection. The GUI developed is the best way of using the acquisition board

Wang Wei & Zhong Guidong (2010) developed a high speed DAQ

system based on NIOS II, especially focuses on the development process of

NIOS II soft-core in data acquisition system. Acquired data transfer to PC for

displaying and analyzing by using USB interface. The whole acquisition

process was controlled by software on the computer. The overall design is

flexible and much simpler, it has a strong emphasis on portability and

configurability. Security was enhanced for the users.

Zhiyong Zhang et al (2008) designed a DAQ system based on USB

protocol and data acquisition systematic structure for single chip computer

information is introduced where this solution consists of the DAQ module

file system design. Finally the whole system achieves speedy, dependable and

delay less design with very small size, low power and less cost.

2.9 NETWORK BASED DAQ SYSTEM

Robson et al (2008) developed a networked DAS architecture

where the software resources required by the DAQ units are acquired from the

server dynamically to be stored and executed in local memory to reduce

resource use of the embedded DAQ unit. Highly flexible distribution system

architecture to support event driven asynchronous and synchronous data

driven push operations are also developed.

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Tongtong Li et al (2012) discussed a secured and efficient

communication between human being and managed devices for Smart Grid

and Smart Home applications. The Secure Access Gateway (SAG) acts as an

interface between remote users and target devices which can be achieved

through a smart home. It enhances the security from both the network layer

and physical layer, provides a framework for how to improve the system

security, flexibility and scalability through networking.

2.10 PC BASED DAQ SYSTEM

Luo et al (2002) discussed an experimental system and process the

huge amount of data (600MB/Shot). The Distributed Control System (DCS)

includes several subsystems, such as main control, synchronization, safety,

DAQ, data analysis and network communication. The PC based system is

reliable, stable and greatly simplifies the processing of the raw experimental

data. It reduces the cost, easy upgrading and maintenance.

2.11 WEB SERVER BASED DAQ SYSTEM

Yakun Liu & Xiaodong Cheng (2010) designed an embedded Web

server which has ARM920T-S3C2410s chip as its core. The GCI technology

is used for creating dynamic Web pages. The embedded Web server

development is based on the ARM-Linux OS. It succeeds in network video

monitoring. The system has low cost, portable in size, easy to maintain and

operate.

Shelby (2010) analyzed various embedded Web services and

introduced recent activities in the extension of Web architecture into

constrained environments using embedded Web services. Extending the Web

architecture to wireless networks and devices will be the key to achieve

flexibility and scalability.

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Soumya Sunny & Roopa (2012) realized an embedded Web server

which enables DAQ and status monitoring with the help of a standard Web

browser. It consists of application programs written in C for accessing data

and updating the Web page porting of Linux 2.6.3x kernel on ARM9 board.

An administrator can monitor and control the equipments without the use of

additional hardware.

The Table 2.1 furnishes reference details pertaining to the authors

and their publications in the data acquisition research area.

Table 2.1 Literature survey of data acquisition related research papers

Sl. No Author and Year of Publication Topic of Discussion

1 Asumadu et al (2005)

An instrument based on a new architect

RwmLAB) acting as a local multi circuit board on a common distributed panel on the Internet.

2 Benetazzo et al (2000)

Describes the specification and design of a geographically distributed system based on commercially standard components.

3 Bor-Rong Chen et al (2011)

Introduced a platform to enable home

disease (PD) using wearable sensors.

4 Di Santo et al (2004)

A distributed architecture for power system security assessment is proposed. The architecture integrates a network of remotely controlled units distributed in the most critical sections of the electrical network for field data acquisition and advanced protective functionalities.

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Table 2.1 (Continued)

5 Homin Kwon et al (2009)

A software interface that enables the Java-Digital Signal Processing (J-DSP) visual programming environment to communicate in a two-way manner with a wireless sensor network.

6 Jian Ge et al (2010) Hardware and Software design of the electromagnetic data acquisition system.

7 Kreimer (2002)

Some analytic results are presented concerning a worst-case analysis, which is more typical in high-performance data acquisition and control Real-time systems.

8 Lovell et al (2001) Methodologies for making the internet an ideal tool for integration of/remote access to biomedical signal data.

9 Min Wu et al (2008)

Internet based teaching and experiment system for control engineering that provides students with online course material, a simulator, an online control experiment using an arm robot, and the ability to store and search simulation and experimental results.

10 Mo Guan & Minghai Gu (2010)

Embedded Web server is tested to indicate that it responding rapidly and operates efficiently and steadily, which achieves the expectant designing purpose.

11 Mukesh Kumar et al (2012) Master-slave architecture for Real-time data acquisition and logging is demonstrated and implemented.

12 Pinot et al (2003) A fast PC-based data acquisition system used to acquire, assess, and store high resolution tomograph (TOHR) data.

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Table 2.1 (Continued)

13 Nakul Padhye (2012)

The DACS system measures remote signal and control the remote devices through reliable protocols and communication network.

14 Pantelic-Babic et al (2002)

The design and implementation of a Virtual Instrument (VI) based automated measuring system for electromotive force (EMF) standards comparisons.

15 Restivo et al (2009)

A particular setup specially designed for remotely measuring and determining mechanical material properties and its combination with the design of a highly interactive user interface.

16 Qimao Zhang et al (2011) A design scheme to quickly build a data acquisition system based on SoPC and LabVIEW technology.

17 Qiu & Gooi (2000) A unique Web-based application which is implemented based on the client/server architecture.

18 Ramos et al (2004)

Design and implementation of a low cost testing bath with automated temperature control for environmental monitoring sensors characterization.

19 Sin-Min Tsai et al (2000)

Solving the problem of inconvenience caused by the diversity of user interfaces and operation platforms of home service applications supporting systems which are provided by different vendors.

20 Smith & Farncombe (2007)

Developed a low cost, non-paralyzable, data acquisition system has been developed. It is capable of collecting pulses from a wide enough range of energies to be applied in specific imaging applications.

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Table 2.1 (Continued)

21 Sziebig et al (2010)

A complete distance learning program has been presented starting from the animation and ending at Internet-based measurement.

22 Wang Fei et al (2011)

Design of a high-speed data acquisition system based on a field-programmable gate array (FPGA). The system has the advantages of configurable data acquisition channels, high accuracy and high speed.

23 Xiang-Hai Li & Jian-Hui Liu (2010)

Design and implementation of one kind of embedded data acquisition and remote monitor control system. This system realizes the data acquisition, data transmission, data storage and remote control functions, and the system run stably.

24 Xicai Yue et al (2008)

A novel, up to 128 channels, multi-parametric physiological measurement system suitable for monitoring hematopoietic stem cell processes and cell cultures in general is presented.

25 Zhongwen Guo et al (2010)

Presentation of a reference model for distributed measurement systems (DMS) development in the household appliance test field.

The Table 2.2 furnishes the different parameters of importance and

different methodologies used.

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Table 2.2 Different parameters of importance and classifications of

methodologies used

Sl. No Parameters

of Importance

Implementation Modules Methodologies Used

1

Temperature, Pressure, Humidity, Light intensity, Air velocity and Data rate.

Intelligent remote unit based on embedded technology which provides flexibility, reliability, monitoring and control. Intelligent home automation system used to control and monitor home appliances. DAQ system based on 3G technology consists of data collection terminals, wireless communication networks, work stations and data centres.

ARM Processor

based DAQ System

2

Frequency, Temperature, Location, Data rate, Length and Wave impedance

Embedded Bluetooth DAQ system using ARM processor core collects the information from Unmanned Underwater Vehicle to Control DAS for processing and storage. Combination of ARM processor core with µCOS-II RTOS and GPRS for online Real-time DAQ processing and transmission.Remote Real-time monitoring system based on GPRS.

Wireless DAQ System

3

Processor memory, Time, Range, Malware protection and Data rate.

The DAQ method continuously acquires diagnostic signal data from the digitizer to data servers in order to retrieve the Real-time data. Linux platform based DAQ system helps the user to monitor and control the data to the standard Web browser. An embedded Web server using ARM9 processor and Real-time OS µC/OS-II, It was ported to the ARM and the application was configured.

Real-time Operating

System based DAQ System

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Table 2.2 (Continued)

4

Pressure, Temperature, Humidity, Air velocity, Operating voltage and Data rate.

The development of a virtual platform for a Web based remote application is dedicated to conditional monitoring and fault detection for AC electrical machines. The simulation of electrical machines laboratory experiments which are the part of lab session at undergraduate electrical engineering using LabVIEW.

Virtual Instrumentation

based DAQ System

5

Length, Location, Malware protection, Processor memory, Temperature and Operating voltage.

The embedded Web server development is based on the ARM-Linux OS. It succeeds in network video monitoring. The system has low cost, portable in size, easy to maintain and operate. Various embedded Web services and recent activities in the extension of Web architecture is applied towards constrained environments.

Web server based DAQ

System

2.12 SUMMARY

The literature survey of DAQ methodologies like ARM Processor

based, Internet based, FPGA based, Wireless, RTOS based, VI based, USB

based, Network based, PC based, Web server based multichannel DAQ

systems utilized for design and implementation were discussed in this chapter.