Conferences related to Electronic noses

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Electronic noses

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Dielectrics and Electrical Insulation, IEEE Transactions on

Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.


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Xplore Articles related to Electronic noses

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Cocaine detection using surface acoustic wave immunoassay sensors

Proceedings of the 2002 IEEE International Frequency Control Symposium and PDA Exhibition (Cat. No.02CH37234), 2002

Vapor sensors, a.k.a. electronic noses, are becoming an increasingly popular analytical tool for detection and identification of small molecules in the gas phase. In this paper we present the results of a series of experiments demonstrating real-time vapor phase detection of cocaine molecules. A distinctive response or signature was observed under laboratory conditions, where the cocaine vapors were presented using ...


Classification of Agarwood grades using ANN

International Conference on Electrical, Control and Computer Engineering 2011 (InECCE), 2011

Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading technique for the wood using advanced signal processing of E-nose measurements. Agarwoods from Malaysia ...


Development of a New Electronic Nose for Odour Measurement Utilizing Wireless Sensor Networks

2007 IEEE International Conference on Networking, Sensing and Control, 2007

The development of an electronic nose for data dissemination via a wireless network is presented in this paper. The design is tailored to odour emissions, and meteorology around pork farms and utilizes four ad-hoc gas sensors as well as two extraneous temperature and humidity sensors to aid in the odour monitoring and analysis of pork odour. Empirical data was gathered ...


Enhanced Discrimination of Complex Odours Based upon Spatio-Temporalsignals from a Micro-Mucosa

TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference, 2007

We recently reported the novel concept of an artificial olfactory mucosa based upon a set of sensor clusters distributed along a channel coated with a retentive layer. Such a system generates complex signals containing both spatial information (i.e. response magnitude) based upon different types of sensors and temporal information (i.e. delay time like in a GC) based upon retention time ...


A Practical Use Of Electronic Noses: Quality Estimation Of COD Fillet Bought Over The Counter

Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95, 1995

An electronic nose is described which has been used for quality estimations of cod fillet bought "fresh" over the counter. The electronic nose was trained to predict the age of initially fresh reference fillets. 'The trained electronic nose was then used to predict the age of now cod fillets, bought five days later. The predictions for these samples were within ...


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Educational Resources on Electronic noses

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IEEE-USA E-Books

  • Cocaine detection using surface acoustic wave immunoassay sensors

    Vapor sensors, a.k.a. electronic noses, are becoming an increasingly popular analytical tool for detection and identification of small molecules in the gas phase. In this paper we present the results of a series of experiments demonstrating real-time vapor phase detection of cocaine molecules. A distinctive response or signature was observed under laboratory conditions, where the cocaine vapors were presented using an INEL vapor generator and under "field" conditions facilitated by the Georgia Bureau of Investigation (GBI) Crime Lab. For these experiments the sensor component was an ST-quartz resonator with a center frequency of approximately 250 MHz. Anti- benzoylegonine (anti-BZE) antibodies are attached to the electrodes on the device surface via a protein-A cross linker. We observed a large transient frequency shift accompanied by baseline shift with the anti-BZE coated sensor. After repeated experiments and the use of numerous controls we believe that we have achieved real time molecular recognition of cocaine molecules.

  • Classification of Agarwood grades using ANN

    Agarwood is an important agricultural product widely used in fragrance industries. It can be found in various parts of ASEAN countries. The price of the Agarwood is determined according to its quality, which is generally decided based on certain grade. This paper proposes an intelligent grading technique for the wood using advanced signal processing of E-nose measurements. Agarwoods from Malaysia and Indonesia are classified into either high or low grade using artificial neural network. Thirty two sensor readings of the E-nose are used as the inputs of the artificial neural network. The experimental results show that the proposed technique, employing feed forward artificial neural network defined by 32-8-1 architecture and trained via Levenberg-Marquardt back propagation (LMBP) algorithm, successfully grade the Agarwood with a 100% classification rate.

  • Development of a New Electronic Nose for Odour Measurement Utilizing Wireless Sensor Networks

    The development of an electronic nose for data dissemination via a wireless network is presented in this paper. The design is tailored to odour emissions, and meteorology around pork farms and utilizes four ad-hoc gas sensors as well as two extraneous temperature and humidity sensors to aid in the odour monitoring and analysis of pork odour. Empirical data was gathered and analyzed through experiments using a proven chemical recipe that closely mimics that of pork odour. Thus far the electronic nose has yielded highly qualitative results as compared to that expected of pork odour and has also exhibited the ability to transfer data across a network.

  • Enhanced Discrimination of Complex Odours Based upon Spatio-Temporalsignals from a Micro-Mucosa

    We recently reported the novel concept of an artificial olfactory mucosa based upon a set of sensor clusters distributed along a channel coated with a retentive layer. Such a system generates complex signals containing both spatial information (i.e. response magnitude) based upon different types of sensors and temporal information (i.e. delay time like in a GC) based upon retention time differences between identical sensors. Here we report on the development of a micro artificial mucosa or micro e-mucosa. The microsystem comprises of a silicon microsensor array coupled to a true 3D micro-fluidic package fabricated by micro-stereolithography. Results show a differential temporal delay of 96 seconds between simple odours (pulses of toluene and ethanol vapour in air) and improved discrimination of complex odours by combining temporal with spatial data. We believe that this new micro e-mucosa offers a significant advance in the field of machine olfaction.

  • A Practical Use Of Electronic Noses: Quality Estimation Of COD Fillet Bought Over The Counter

    An electronic nose is described which has been used for quality estimations of cod fillet bought "fresh" over the counter. The electronic nose was trained to predict the age of initially fresh reference fillets. 'The trained electronic nose was then used to predict the age of now cod fillets, bought five days later. The predictions for these samples were within a certain interval [33.3 hours - 47.3 hours]. These values clearly show that the test material was considerably older when bought than the reference material.

  • Sensing odour sources in indoor environments without a constant airflow by a mobile robot

    This paper describes the assembly of a mobile odour sensing system and investigates its practical operation in an indoor environment without a constant airflow. Lacking a constant airflow leads to a problem which cannot be neglected in real world applications. The response of the metal oxide gas sensors used is dominated by air turbulence rather than concentration differences. We show that this problem can be overcome by driving the robot with a constant speed, thus adding an extra constant airflow relative to the gas sensors location. If the robot's speed is not too low the system described proved to be well suited to detect even weak odour sources. Since driving with constant speed is an indispensable condition to perform the basic tasks of a mobile odour sensing system, a new localization strategy is proposed, which takes this into account.

  • A method for evaluating data-preprocessing techniques for odour classification with an array of gas sensors

    The performance of a pattern recognition system is dependent on, among other things, an appropriate data-preprocessing technique, In this paper, we describe a method to evaluate the performance of a variety of these techniques for the problem of odour classification using an array of gas sensors, also referred to as an electronic nose. Four experimental odour databases with different complexities are used to score the data-preprocessing techniques. The performance measure used is the cross-validation estimate of the classification rate of a K nearest neighbor voting rule operating on Fisher's linear discriminant projection subspace.

  • ICA Algorithm Based on Intelligent Electronic Nose in the Mixed Gas of Feature Extraction

    Electronic nose sensors in the gas mixture concentration of environmental pollution monitoring and detection of industrial waste gas has an important role, but because of the recognition capacity of existing algorithms and anti- jamming ability is poor, affecting recognition accuracy.Independent Component Analysis is a highly efficient method of blind signal separation. It an independent source signal from the mixed-signal separation. This paper through the electronic nose sensors to detect gas mixture signal, through the ICA decomposition algorithm of mixed gases on the outside interference to eliminate the noise, so that gas composition identified to achieve good results. Thanks to MATLAB simulation on the identification of the original gas composition come out with high precision.

  • Electronic nose to detect sulphate reducing bacteria which is an agent of corrosion

    Sulfate reducing bacteria (SRB) is a nonpathogenic and anaerobic bacterium which can produce enzyme to accelerate the reduction of sulfate compounds to hydrogen sulphate that corrodes metal. This paper will study the possibility of using electronic nose which consists of chemical sensing system, data acquisition system and pattern recognition system such as artificial neural network to detect hydrogen sulphide. There are a few methods of detecting SRB such as laboratory analysis and field test kit but the procedures are costly and take longer time, within 1 to 2 days. Study shows that electronic nose can be used to detect SRB by detecting hydrogen sulphide that is produced during reduction process. The electronic nose can detect hydrogen sulphide within 16 hours where the detection period is reduced from 30% to 65%. Study also shows that the electronic nose with micro hotplate sensor base will reduce 86% of power consumption compared to electronic nose with alumina ceramic sensor base.

  • Identification of typical wine aromas by means of an electronic nose

    In the field of electronic noses it is not very usual to find many applications in wine detection. Most of them are related to discrimination of wines in order to prevent their illegal adulteration and detection of off- odours but their objective is not the identification of wine aromas. In this paper, an e-nose using headspace as an extraction technique is used for the identification of typical aromatic compounds present in white and red wines. The descriptors of these compounds are: fruity, floral, herbaceous, vegetative, spicy, smoky, and microbiological and they are responsible for the usual aromas in wines; concentrations differ from 2 to 10 times the threshold concentration humans can smell. Some of the measured aromas are: pear, apple, peach, coconut, rose, geranium, cut green grass, mint, vanilla, clove, almond, toast, wood and butter. Principal component analysis (PCA) shows datasets of this group of compounds are clearly separated and radial basis neural networks (RB-NN) show a 98% rate of success in classification.



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