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Developments in Electronic Nose Systems
TJPRC, 2013
Electronic nose has received considerable attention of the research scholars and industries because of its wide range of applications and the innovations done in the field of sensor technology. E-nose technology has quietly advanced during the last twenty years. Commercial models equipped with sensor arrays came to market in the mid-1990s, and today they're being used in every aspects of our life e.g. food, health, pharmaceuticals, environment monitoring, manufacturing, cosmetics, and packaging industries etc. In this paper we have discussed some of the research works and the developments done in electronic nose systems during last few years.
Current and Future Research of E-Nose(Electronic Nose
Over last decade electronic sensing or e-sensing becomes an important technology from both of technical and commercial point of view which refers to the capability of reproducing human senses using sensor arrays and pattern recognition system. An electronic nose is such an instrument which consists of mechanism for identification of chemical detection such as an array of electronic sensors and a mechanism of pattern recognition. This paper highlights the significant researches of Electronic nose which are being performed currently and at the same time how can we use it in the future more effectively. Introduction-An electronic nose is a device intended to detect odors or flavors. It is an
The Electronic Nose Training Automation Development
2003
The electronic nose is a method of using several sensors in conjunction to identify an unknown gas. Statistical analysis has shown that a large number of training exposures need to be performed in order to get a model that can be depended on. The number of training exposures needed is on the order of 1000. Data acquisition from the noses are generally automatic and built in. The gas generation equipment consists of a Miller-Nelson (MN) flowhemperaturehumidity controller and a Kin-Tek (KT) trace gas generator. This equipment has been controlled in the past by an old data acquisition and control system. The new system will use new control boards and an easy graphical user interface. The programming for this is in the LabVIEW G programming language. A language easy for the user to make modifications to. connections. It is not a primer on LabVIEW programming, a separate CD is being delivered with website files to teach that. This paper details some of the issues in selecting the components and programming the ' Kin-Tek labs Operating Instructions
Modern Applications of Electronic Nose: A Review
International Journal of Electrical and Computer Engineering (IJECE), 2013
Electronic noses have provided a plethora of benefits to a variety of commercial industries, including the agricultural, biomedical, cosmetics, environmental, food, manufacturing, military, pharmaceutical, regulatory, and various scientific research fields. Advances have improved product attributes, uniformity, and consistency as a result of increases in quality control capabilities afforded by electronic-nose monitoring of all phases of industrial manufacturing processes. This paper is a review of some of the more important and modern applications that have been of greatest benefit to the humankind.
IEEE Access, 2021
Context: Quality Control (QC) has been constantly an essential concern in many fields like food industry production, medical drugs, environmental protection, and so on. An odor or flavor, as a global fingerprint, can be implemented as a non-invasive mechanism for quality assurance. This computer-based approach can assure accurate detection and precise identification of the product quality or manufactured goods. Objective: This paper aims to achieve a systematic review about e-nose by introducing the achievements made by researchers in this area, to summarize their findings, to provide motivations and challenges to new researchers in the field of e-nose. Methods: The articles that were being utilized in the e-nose field were systematically achieved using three search engines: The online library of IEEE Explore, Web of Science and Science Direct for time span of 7 years (from 2013 to 2020). Both medical literature reviews and technical reviews were considered in the criteria of the re...
2019
An electronic nose (e-nose) is a keen detecting gadget that utilizes a variety of gas sensors of broadening and halfway selectivity forward with an example acknowledgment part to recognize both confused and basic scents. To date, e-noses have had a decent variety of utilization in various applications from the nourishment business to restorative analysis. A next stage in the improvement of e-noses is the thought of fake olfaction into bound together frameworks, cooperating with different sensors on progressively complex stages for example a versatile mechanical structure or a clever situation. This paper introduces an investigation of the more basic difficulties in the digestion of this imperative sense into astute frameworks. This paper present uses different detecting modalities (cameras, sonar, material and electronic nose sensors) and abnormal state forms (organizer, representative thinking) to achieve various olfactory related assignments. Index Terms : human nose, electronic n...
Handbook of Machine Olfaction: Electronic Nose Technology
2003
This book was carefully produced. Nevertheless, authors, editors and publisher do not warrant the information contained therein to be free of errors. Readers are advised to keep in mind that statements, data, illustrations, procedural details or other items may inadvertently be inaccurate. Library of Congress Card No. applied for. British Library Cataloguing-in-Publication Data: A catalogue record for this book is available from the British Library. Bibliographic information published by Die Deutsche Bibliothek Die Deutsche Bibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the Internet at http://dnb.ddb.de.
Towards the development of an electronic nose
2003
Electronic noses are targeted at determining odour character in a fashion that emulates conscious odour perception in mammals. The intention of this study was to develop an organisational framework for electronic noses and deploy a sample cheese odour discriminator within this framework. Biological olfactory systems are reviewed with the purpose of extracting the organisational principles that result in successful olfaction. Principles of gas handling, chemoreception, and neural processing are considered in the formulation of an organisational framework. An electronic nose is then developed in accordance with the biologically inspired framework. Gas sensing is implemented by an array of six commercially available (tin oxide) semiconductor sensors. These popular gas sensors are known to lack stability thus necessitating hardware and signal processing measures to limit or compensate for instability. An odorant auto-sampler was developed to deliver measured amounts of odorant to the sensors in a synthetic air medium. Each measurement event encodes a simulated sniff, and is captured across six sensor channels over a period of 256 seconds at a sampling rate of 1Hz. The simulated sniff captures sensor base references and responses to odorant introduction and removal. A technique is presented for representation and processing of sensor-array data as a two-dimensional (2D) image where one dimension encodes time, and the other encodes multi-channel sensory outputs. The near optimal, computationally efficient 2D Discrete Cosine Transform (DCT) is used to represent the 2D signal in a decorrelated frequency domain. Several coefficient selection strategies are proposed and tested. A heuristic technique is developed for the selection of transform domain coefficients as inputs to a non-linear neural network based classifier. The benefits of using the selection heuristic as compared to standard variance-based selection are evident in the results. Benefits include; significant dimensionality reduction with concomitant reduction in classifier size and training time, improved generalisation by the neural network and improved classification performance. The electronic nose produced a 99.1 % classification rate across a set of seven different cheeses. 2.2.4 High-level processing: Cortical and limbic pathways 2.11 2.3 Summary 2.12 2.3.1 Gas handling 2.13 2.3.2 Chemoreception 2.13 2.3.3 Signal processing 2.14 2.4 Conclusion 2.14
Conception and Simulation of an Electronic Nose Prototype for Olfactory Acquisition
Advances in Science, Technology and Engineering Systems Journal
The "Electronic Nose" approach, which is exclusive to gas measurement systems, uses gas sensors as odor detectors. Design faults exist in the existing electronic nose (e-nose) chamber, such as its large volume, difficult construction, etc. In order to obtain measurements in a satisfactory state, we want to create a gas chamber that can provide favorable conditions for the sensor array, taking into account the ideal gas flow morphology and detector placement. To describe and identify the design capable of offering the best performance for a genuine idea, the e-nose chamber was created using ParaVIEW simulation and FreeCAD conception. According to the results, the spherical sensing container with connections from both pipes in a tangential arc style gives the highest performance in terms of turbulence reduction, in that case, we are printing this chamber and put it in a gas flow prototype to see the performance of the quality measurement of the sensors inside it, and the result shows that these sensors have good acquisition responses by testing the homogeneity distribution inside the chamber.
Electronic noses and their applications
1995
Electronic/artificial noses are being developed as systems for the automated detection and classification of odors, vapors, and gases. An electronic nose is generally composed of a chemical sensing system (e.g., sensor array or spectrometer) and a pattern recognition system (e.g., artificial neural network). We are developing electronic noses for the automated identification of volatile chemicals for environmental and medical applications. In this paper, we briefly describe an electronic nose, show some results from a prototype electronic nose, and discuss applications of electronic noses in the environmental, medical, and food industries.