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NEURAL BASED ARTIFICIAL
OLFACTION SYSTEM (E-NOSE)
PRESENTED BY:
P. JOSHNA PRIYATHARSHINI
S. MADUBALAFINAL ECE
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INTRODUCTION
An odor or odour is a volatilized chemical compound, generally at
a very low concentration, that humans or other animals perceive bythe sense of olfaction.
Artificial olfactory system, based on the structure andmechanism of biological olfactory system. Biological olfactory
receptors able to detect 300-500 different scents.
We use labview for the simulation in which, neural tool and
visual display are used for our design.
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HUMAN OLFACTORY SYSTEM
Epithelium
Olfactory
Receptorcells
Olfactory
Bulb
Mitral cells
Olfactory
Cortexneurons
OdoOdo
rr
BrainBrain
PerceptionPerception
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ARTIFICIAL OLFACTORY
SYSTEM
Sensor
Array QCM
Odor
Extraction
Pattern
Recognitio
n
(NN)
OdorOdor InformatioInformatio
nn
ComputerComputer
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ANALOGY BETWEEN THE ELECTRONIC
NOSE AND THE BIOLOGICAL NOSEHUMAN OLFACTION ARTIFICIAL OLFACTION
INHALING PUMP
CONTAINER NASAL CAVITY
MUCUS FILTER
OLFACTORY EPITHELIUM SENSORS (QCM)
BINDING WITH PROTEINS INTERACTION
ENZYMATIC REACTIONS REACTIONS
CELL MEMBRANE DEPOLARIZED SIGNAL
NERVE IMPULSES CIRCUITRY AND NEURAL NETWOK
OLFACTORY BULB(PART OF BRAIN) COMPUTER
PERCEPTVE CORTEX OUTPUT IN LAB VIEW
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SENSING AN ODORANT
In a typical e-nose, an air sample is pulled by a
vacuum pump through a tube into a small
chamber housing the electronic sensor array.
The sensors response is converted intoelectronic signal by using a transducer and is
processed by using the signal processing unit
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QUARTZCRYSTAL MICROBALANCE
(QCM )
QCM is an ultra-sensitive mass sensor.The heart of the QCM is the piezoelectricAT-cut quartz crystal sandwiched between
a pair of electrodes.
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CRYSTAL OSCILLATOR
An oscillator is basically an amplifier and afrequency selective feedback network.
It is often required to produce a signal whosefrequency or pulse rate is very stable and exactlyknown. This is important in any application whereanything to do with time or exact measurement iscrucial.
The MC12061 is for use with an external crystal toform a crystal controlled oscillator.
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MC12061 Frequency Range = 2.0 to 20 MHz
Temperature Range = 0 to + 70C
Single Supply Operation: +5.0 Vdc or 5.2 Vdc
Three Outputs Available:
Complementary Sine Wave (600 mVpp typ)
Complementary MECL
Single Ended TTL
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NEURAL NETWORKS
Adaptive learning
Self-Organization
Real Time Operation
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ARTIFICIAL NEURAL NETWORKS
An Artificial Neural Network (ANN) is aninformation processing paradigm thatwas inspired by the way biologicalnervous systems, such as the brain,process information.
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FEATURES OF LABVIEW
LabVIEW is a graphical programmingsoftware that utilizes graphical objects tosymbolize lines of code instead of theaverage programmers text-based
languages.
LabVIEW excels in data acquisition and
control, data analysis, and datapresentation, while delivering thecomplete capabilities of a traditionalprogramming language such as Microsoftvisual C.
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ARTIFICIAL NEURAL NETWORK IN
LABVIEW
Artificial intelligence is a branch of study whichenhances the capability of computers by givingthem human-like intelligence.
LABVIEW has unique ability to develop data flowdiagrams that are highly parallel in structure.
LABVIEW seems to be a very effective approach forbuilding neural networks.
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HARDWARE MODULE
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SENSOR SYSTEM:
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LABVIEW SIMULATION:
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RESULT AND DISCUSSION
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APPLICATIONS:
Quality control in the food industry
Quality control of packaging material
Medical diagnostics
Environmental monitoring Perfume and aroma industry
Control of beverages, e.g., wine and beer
Tobacco industry
Coffee industry
Assessment of car interiors
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ADVANTAGES
The e-nose is a compact device and so it is
portable and reliability is very high.
It can identify simple molecules which cannotbe accomplished by human nose.
It can identify a smell objectively.
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DISADVANTAGES
The cost of an e-nose ranges from $5000 to
$100,000.
Another disadvantage has been the delay, the
time delay ranging between 2 to 10 minutes.
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CONCLUSION
Scents have an immediate and compellingeffect. They touch our soul, consciously orunconsciously, and allow us to fell deeply.
When applied to communication, scent
becomes a new information channel. It allowsus to perceive products and create a previouslyunimagined emotionality and productcredibility.
Scent communication will be one of the mostimportant information tools of future.
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Neural networks do not perform miracles.
But if used sensibly they can producesome amazing results.
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BIBLIOGRAPHY:
J.W. Gardner- Application of Artificial Neural
Networks to an Electronic Olfactory System.
Sensors and Sensory Systems for anElectronic Nose.- J.W. Gardner
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REFERENCES:
S. Skogestad,Control structure design for completechemical plants, Computers and Chemical Engineering,28, pp. 219-234, 2004.
Z. Lin and S. Yin, Design of PID temperature controllingsystem based on virtual instrument technique,Proceed. Eight Int. Conference on ElectronicMeasurements and Instruments, Vol. 3, pp. 69-73,2007.
Yuwono AS, Boeker P and Schulze Lammers P. 2003.Detection of odour emissions from a composting facilityusing a QCM sensor array. Analytical and BioanalyticalChemistry 375 (2003): 1045-1048.
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THANK YOU