Design and Analysis of a Smart Multi Purpose Electronic Nose System
TLDR
Comprehensive mathematics are used to design and describe each part of the presented system, which allows methodical development and changes of the system parameters for future advances.Abstract:
An electronic nose system for multi application purposes is designed and tested. Our
hardware design allows various types of sensors to be used for different applications. The system is
capable of being interfaced to both analog and digital instruments with special filtering devices that
isolate the system from surrounding signals. The design of the system is distinguished through the use
of two logic controlled micro fans that stabilize the system atmosphere, which surrounds the smelling
sensor and also serves an important function of removing any adsorbed odors on the surface of the
sensor. Comprehensive mathematics are used to design and describe each part of the presented system,
which allows methodical development and changes of the system parameters for future advances.
Testing of the hardware was carried out under computer control using various TGS sensors such as
TGS822, and TGS824 and TGS30. Database based software with neural network facility was designed
to interface the built hardware and to process the electronic nose signals before being classified.read more
Citations
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Journal ArticleDOI
Changes in the Aromatic Profile of Espresso Coffee as a Function of the Grinding Grade and Extraction Time: A Study by the Electronic Nose System
TL;DR: The aromatic profile of a regular coffee (25 mL) was significantly affected by the grinding level of the coffee grounds and percolation time, which are two variables under the control of the bar operator.
Journal ArticleDOI
La nariz electrónica: Estado del arte
TL;DR: This paper presents the artificial olfaction systems or electronic noses state of art, their operation and applications, and main concepts related with the use of electronic noses in autonomous robots and their applications.
Journal ArticleDOI
Design and Construction of Electronic Nose for Multi-purpose Applications by Sensor Array Arrangement Using IBGSA
TL;DR: The improved binary gravitational search algorithm (IBGSA) and the K-nearest neighbor (KNN) classifier are used for automatic selecting the best combination of the sensors in the E-nose to achieve higher recognition rate and lower power consumption.
Proceedings ArticleDOI
Implementation of 3-Nose Strategy in Odor Plume-Tracking Algorithm
TL;DR: The implementation of 2 novel algorithms named Surge-spiralx and Surge-castx on sniffer robot for odor plume tracking in a laminar wind environment shows very good performance in terms of success ratio, while Surge-Spiralx algorithm having less distance overhead.
Proceedings ArticleDOI
Embedded E-Nose Application to Sense the Food Grain Storage Condition
TL;DR: The application of E-nose system along with smart embedded sensor system is presented to study the deterioration of food grains under different stress (temperature, humidity, insects etc.) and room environmental conditions.
References
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Journal ArticleDOI
The how and why of electronic noses
TL;DR: In this article, the authors outline the major transducer technologies-in one sense, the key component of an electronic nose-that can be used in a system mimicking the human nose.
Journal ArticleDOI
Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose
M. Pardo,G Niederjaufner,G Benussi,Elisabetta Comini,Guido Faglia,Giorgio Sberveglieri,Martin Holmberg,Ingemar Lundström +7 more
TL;DR: Two different ways of preprocessing chemical sensor data are presented as a means to improve the interpretation and the classification ability of an electronic nose (EN) resulting in 100% correct classification with just two sensors.
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Odor sensing for robot guidance
TL;DR: A project to investigate the use of short-lived navigational mark ers consisting of olfactory chemicals to guide mobile robots and to help them search and explore efficiently is described.
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Three neural network based, sensor systems for environmental monitoring
TL;DR: Three prototype sensing systems are discussed and the neural network is used to identify the composition of the sensed contaminant in these systems, which are capable of automatically identifying contaminants.
Book ChapterDOI
Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis
TL;DR: A cost-sensitive variant of AdaBoost is designed for binary classification problems, where the model error function is weighted with separate costs for errors in the two classes, and the weights are updated differently for negatives and positives at each boosting step.