Relevant bibliographies by topics / Electronic nose

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Electronic nose'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Electronic nose"

1

KITA, Junichi, Masayuki OKADA, Hisamitu AKAMARU, and Motoo KINOSHITA. "Electronic Nose." Journal of Japan Association on Odor Environment 37, no. 3 (2006): 172–78. http://dx.doi.org/10.2171/jao.37.172.

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Osowski, Stanislaw, Krzysztof Siwek, and Tomasz Grzywacz. "Exploration of noisy data in differential electronic nose." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 4 (2016): 1382–92. http://dx.doi.org/10.1108/compel-08-2015-0279.

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Purpose – The paper is concerned with exploration of sensor signals in differential electronic nose. It is a special type of nose, which applies double sensor matrices and exploits only their differential signals, which are used in recognition of patterns associated with them. The purpose of this paper is to study the application of differential nose in dynamic measurement of aroma of 11 brands of cigarettes. Design/methodology/approach – The most important task in pattern recognition using electronic nose is its resistance to the noise corrupting the measurement. The authors will analyze and
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Shurmer, H. V. "The electronic nose." Analytical Proceedings including Analytical Communications 31, no. 1 (1994): 39. http://dx.doi.org/10.1039/ai9943100039.

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NANTO, Hidehito. "Electronic Nose System." Journal of the Society of Mechanical Engineers 107, no. 1033 (2004): 944–45. http://dx.doi.org/10.1299/jsmemag.107.1033_944.

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Ding, Qinghang, Dongjie Zhao, Jun liu, and Zeming Yang. "Detection of fruits in warehouse using Electronic nose." MATEC Web of Conferences 232 (2018): 04035. http://dx.doi.org/10.1051/matecconf/201823204035.

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An electronic nose system for storage environments was built. The system would consist of sensor array, data acquisition module and host computer software. The electronic nose made up with eight metal-oxide-semiconductor gas sensors was used to test four types of stone fruit (Dragon fruit, Snow pear, Kiwi fruit, and Fuji apple). The results showed that the rate of corruption of kiwifruit was the fastest, followed by pitaya, and the apples and pears was comparable. The tested fruits can be divided into fresh and spoiled grades by using PCA. And finally, according to the problems related to node
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Edita, Raudienė, Gailius Darius, Rimanté Vinauskienė, et al. "Rapid evaluation of fresh chicken meat quality by electronic nose." Czech Journal of Food Sciences 36, No. 5 (2018): 420–26. http://dx.doi.org/10.17221/419/2017-cjfs.

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A prototype of electronic nose (e-nose) with the gas sensor system for evaluation of fresh chicken meat freshness was developed. In this paper a rapid, simple and not expensive system for fresh chicken meat spoilage detection was investigated that provides objective and reliable results. Quality changes in fresh chicken meat during storage were monitored by the metal oxide sensor (MOS) system and compared with the results of traditional chemical measurements. Gas sensor selection was tested for evaluation of volatile fatty acids (VFA) mainly representing meat spoilage.The study demonstrated th
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"Electronic Nose Detects Cancer." Journal of Medical Sciences 11, no. 8 (2011): 309. http://dx.doi.org/10.3923/jms.2011.309.309.

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Boeker, Peter. "On ‘Electronic Nose’ methodology." Sensors and Actuators B: Chemical 204 (December 2014): 2–17. http://dx.doi.org/10.1016/j.snb.2014.07.087.

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Riyanarto, Sarno, and Rahman Wijaya Dedy. "Recent development in electronic nose data processing for beef quality assessment." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 1 (2019): 337–48. https://doi.org/10.12928/TELKOMNIKA.v17i1.10565.

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Beef is kind of perishable food that easily to decay. Hence, a rapid system for beef quality assessment is needed to guarantee the quality of beef. In the last few years, electronic nose (e-nose) is developed for beef spoilage detection. In this paper, we discuss the challenges of e-nose application to beef quality assessment, especially in e-nose data processing. We also provide a summary of our previous studies that explains several methods to deal with gas sensor noise, sensor array optimization problem, beef quality classification, and prediction of the microbial population in beef sample.
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Aditama, Farel Ahadyatulakbar, Lalu Zulfikri, Laili Mardiana, Tri Mulyaningsih, Nurul Qomariyah, and Rahadi Wirawan. "Electronic nose sensor development using ANN backpropagation for Lombok Agarwood classification." Research in Agricultural Engineering 66, No. 3 (2020): 97–103. http://dx.doi.org/10.17221/26/2020-rae.

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The aim of the present study is the development of an electronic nose system prototype for the classification of Gyrinops versteegii agarwood. The prototype consists of three gas sensors, i.e., TGS822, TGS2620, and TGS2610. The data acquisition and quality classification of the nose system are controlled by the Artificial Neural Network backpropagation algorithm in the Arduino Mega2650 microcontroller module. The testing result shows that an electronic nose can distinguish the quality of Gyrinops versteegii agarwood. The good-quality agarwood has an output of [1 –1], while the poor-quality aga
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Dissertations / Theses on the topic "Electronic nose"

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Scott, Simon Michael. "Electronic Nose Optimisation." Thesis, Teesside University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518259.

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ZAMPETTI, EMILIANO. "Future evolution of the electronics nose: technology and electronic design." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2008. http://hdl.handle.net/2108/495.

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Lo scopo principale di questa tesi di Dottorato è uno studio approfondito sul sistema olfattivo artificiale (Naso Elettronico - EN) principalmente dedicato ad applicazioni spaziali. L'ambiente spaziale, piuttosto particolare destinato ad ospitare questo apparecchio ha richiesto particolare attenzione nella progettazione in modo da rispondere in maniera completa a tutte quelle caratteristiche elettriche e meccaniche che sono necessarie per superare tutti i test molto rigorosi di imposti dall'organizzazione internazionale di volo spaziale. La progettazione particolarmente orientata verso l'ottim
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Knobloch, Henri. "Serum and urine headspace using electronic nose (e-nose) technology." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/6974.

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For the last 20 years, several applications of electronic nose (e-nose) have been reported in the area of microbiology, environmental and agricultural monitoring or medical diagnosis. E-noses were used to detect contaminants or for quality control. However, little has been reported about complex methodological problems which are strongly linked to the e-nose performance. This thesis summarises various e-nose systems and alternatives for gas and headspace analysis, highlights the essential problems associated with e-nose analysis and explains why these devices have a potential for the detection
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Esfahani, Siavash. "Electronic nose implementation for biomedical applications." Thesis, University of Warwick, 2018. http://wrap.warwick.ac.uk/108881/.

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The growing rate of diabetes and undiagnosed diabetes related diseases is becoming a worldwide major health concern. The motivation of this thesis was to make use of a technology called the ‘electronic nose’ (eNose) for diagnosing diseases. It presents a comprehensive study on metabolic and gastro-intestinal disorders, choosing diabetes as a target disease. Using eNose technology with urinary volatile organic compounds (VOCs) is attractive as it allows non-invasive monitoring of various molecular constituents in urine. Trace gases in urine are linked to metabolic reactions and diseases. Theref
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Searle, Graham Ellis. "Dynamic modelling of electronic nose systems." Thesis, University of Warwick, 2002. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251118.

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Athamneh, Ahmad I. "Electronic Nose Evaluation of Grape Maturity." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35503.

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Grape maturity is a critical attribute impacting potential wine quality. Maturity evaluation is difficult due to the many interrelated factors that impact physicochemical changes and limitations in the understanding of these factors. Current methods of assessing grape maturity are destructive, expensive, time consuming, subjective, and do not always strongly correlated to potential wine quality. This study evaluated the applicability of a conducting polymer-based electronic nose to monitor grape maturity by analyzing headspace volatiles. In the first part of the study, system and experimental
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Nilsson, Kent. "Detection of wood decay using an electronic nose /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1998. http://epsilon.slu.se/avh/1998/91-576-5602-9.gif.

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Bäckström, Martin. "Discrimination between healthy and cancerous lungs with the use of an electronic nose." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129563.

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Lung cancer is one of the most serious and common cancer types of today, with very uncomfortable and potentially cumbersome diagnostic techniques in x-ray, CT, CT-PET scans, bronchoscopies and biopsies. Completing all these steps can also take a long time and be time consuming for hospital staff. So finding a new safer and faster technique to diagnose cancer would be of great benefit. The objectives of this pilot study is to create an effective data storage system that can be scaled for larger data sets in a later study. The aim was also to see whether a E-nose can be used to find the differen
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Tashtoush, Nehad M. "SAW humidity sensor and an environmental electronic nose system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25915.pdf.

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Yates, James W. T. "Black box and mechanistic modelling of electronic nose systems." Thesis, University of Warwick, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413428.

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Books on the topic "Electronic nose"

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Zhang, Lei, Fengchun Tian, and David Zhang. Electronic Nose: Algorithmic Challenges. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2167-2.

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Joshi, Nirav J., and Sachin Navale, eds. Nanostructured Materials for Electronic Nose. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1390-5.

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Patel, Himanshu K. The Electronic Nose: Artificial Olfaction Technology. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1548-6.

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C, Pearce T., ed. Handbook of machine olfaction: Electronic nose technology. Wiley-VCH, 2003.

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Gardner, Julian W., and Philip N. Bartlett, eds. Sensors and Sensory Systems for an Electronic Nose. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7985-8.

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Gardner, Julian W. Sensors and Sensory Systems for an Electronic Nose. Springer Netherlands, 1992.

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1958-, Gardner J. W., Bartlett Philip N. 1956-, and NATO Advanced Research Workshop on Sensors and Sensory Systems for an Electronic Nose (1991 : Reykjavík, Iceland), eds. Sensors and sensory systems for an electronic nose. Kluwer Academic Publishers, 1992.

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Matteo, Pardo, and Sberveglieri G. (Giorgio), eds. Olfaction and electronic nose: Proceedings of the 13th International Symposium on Olfaction and Electronic Nose, Brescia, Italy, 15-17 April 2009. American Institute of Physics, 2009.

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Craven, Mark Antony. Bacteria classification with an electronic nose employing artificial neural networks. typescript, 1997.

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International, Symposium on Olfaction and the Electronic Nose (5th 1998 Baltimore Md ). Electronic noses & sensor array based systems: Design & applications : proceedings of the 5th International Symposium on Olfaction and the Electronic Nose. Technomic Pub. Co., 1999.

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Book chapters on the topic "Electronic nose"

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Soares, Edmundo R., Samuel Cabete, Nuno Miguel Fonseca Ferreira, and Fernando J. T. E. Ferreira. "Electronic Nose." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_66.

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Luther, Rolf, Thomas Meindorf, and Frank Plenert. "Electronic Nose." In Encyclopedia of Lubricants and Lubrication. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-22647-2_301.

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Zou, Xiaobo, and Jiewen Zhao. "Electronic Nose Measurements." In Nondestructive Measurement in Food and Agro-products. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9676-7_5.

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Chang, Fangle. "Electronic Nose Technology." In Encyclopedia of Smart Agriculture Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89123-7_15-2.

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Chang, Fangle. "Electronic Nose Technology." In Encyclopedia of Smart Agriculture Technologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89123-7_15-3.

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Chang, Fangle. "Electronic Nose Technology." In Encyclopedia of Digital Agricultural Technologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24861-0_15.

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Chang, Fangle. "Electronic Nose Technology." In Encyclopedia of Smart Agriculture Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89123-7_15-1.

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Zou, Yingchang, Hao Wan, Xi Zhang, Da Ha, and Ping Wang. "Electronic Nose and Electronic Tongue." In Bioinspired Smell and Taste Sensors. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-7333-1_2.

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Bhattacharyya, Nabarun, and Rajib Bandhopadhyay. "Electronic Nose and Electronic Tongue." In Nondestructive Evaluation of Food Quality. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15796-7_4.

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Zhang, Lei, Fengchun Tian, and David Zhang. "Introduction." In Electronic Nose: Algorithmic Challenges. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2167-2_1.

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Conference papers on the topic "Electronic nose"

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Wande, Radha Wasudeo, Shiv Nath Chaudhari, and Rutuja Nitin Lanjewar. "Interdisciplinary Research Scope for Electronic Nose." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842842.

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Bin Hafeez, Syed Haris, Huma Hasan Rizvi, Riyam Sarfaraz, Syed Muhammad Umer, and Muhammad Aali Siddiqui. "Electronic Nose (E-Nose)." In 2019 International Conference on Information Science and Communication Technology (ICISCT). IEEE, 2019. http://dx.doi.org/10.1109/cisct.2019.8777425.

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Gonzalez, Javier, Javier G. Monroy, Francisco Garcia, and Jose Luis Blanco. "The multi-chamber electronic nose (MCE-nose)." In 2011 IEEE International Conference on Mechatronics (ICM). IEEE, 2011. http://dx.doi.org/10.1109/icmech.2011.5971193.

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Tang, K. T., D. J. Yao, C. M. Yang, et al. "A Portable Electronic Nose Based on Bio-Chemical Surface Acoustic Wave (SAW) Array with Multiplexed Oscillator and Readout Electronics." In OLFACTION AND ELECTRONIC NOSE: Proceedings of the 13th International Symposium on Olfaction and Electronic Nose. AIP, 2009. http://dx.doi.org/10.1063/1.3156633.

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Pornpanomchai, Chomtip, and Natt Suthamsmai. "Beer classification by electronic nose." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635799.

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Barisci, Joseph N., Mike K. Andrews, Paul Harris, Ashton C. Partridge, and Gordon G. Wallace. "Development of an electronic nose." In Far East and Pacific Rim Symposium on Smart Materials, Structures, and MEMS, edited by Alex Hariz, Vijay K. Varadan, and Olaf Reinhold. SPIE, 1997. http://dx.doi.org/10.1117/12.293544.

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Botre, B., D. Gharpure, A. Shaligram, Matteo Pardo, and Giorgio Sberveglieri. "Embedded Electronic Nose for VOC Mixture Analysis." In OLFACTION AND ELECTRONIC NOSE: Proceedings of the 13th International Symposium on Olfaction and Electronic Nose. AIP, 2009. http://dx.doi.org/10.1063/1.3156625.

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Marchetti, Enrico, Giorgio Pennazza, Marco Santonico, et al. "Monitoring the Halitosis with an Electronic Nose." In OLFACTION AND ELECTRONIC NOSE: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE. AIP, 2011. http://dx.doi.org/10.1063/1.3626341.

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Kovács, Zoltán, Dániel Szöllősi, András Fekete, Sandrine Isz, and Perena Gouma. "Sensing Basic Tastes by Electronic Tongue Sensors." In OLFACTION AND ELECTRONIC NOSE: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE. AIP, 2011. http://dx.doi.org/10.1063/1.3626310.

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Burlachenko, J., I. Kruglenko, E. Manoylov, S. Kravchenko, I. Krishchenko, and B. Snopok. "Virtual sensors for electronic nose devises." In 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2019. http://dx.doi.org/10.1109/isoen.2019.8823169.

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Reports on the topic "Electronic nose"

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Lewis, Nathan S., Rodney M. Goodman, and Robert H. Grubbs. A Conducting Polymer-Based Electronic Nose for Landmine Detection. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada396394.

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van der Heijden, Joost. Optimizing electron temperature in quantum dot devices. QDevil ApS, 2021. http://dx.doi.org/10.53109/ypdh3824.

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The performance and accuracy of quantum electronics is substantially degraded when the temperature of the electrons in the devices is too high. The electron temperature can be reduced with appropriate thermal anchoring and by filtering both the low frequency and radio frequency noise. Ultimately, for high performance filters the electron temperature can approach the phonon temperature (as measured by resistive thermometers) in a dilution refrigerator. In this application note, the method for measuring the electron temperature in a typical quantum electronics device using Coulomb blockade therm
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Loubriel, Guillermo M. Electronic Production Control System News Note. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1189593.

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Haddad, G. I. Low Power/Low Noise Electronics. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada398416.

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Liu, Robert C. Quantum Noise in Mesoscopic Electron Transport. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada370166.

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Leong, S. K., and Krishna Shenai. Low Energy/Low Noise Electronic Components for Mobile Platform Applications. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328360.

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Itoh, Tatsuo. Low Power/Low Noise Electronics Technologies for Wireless Communications. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada395598.

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Itoh, Tatsuo. Low Power/Low Noise Electronics Technologies for Wireless Communications. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada406885.

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Kladov, Sergei, Daniel Broemmelsiek, Zhirong Huang, et al. Near-Infrared noise in intense electron bunches. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2482539.

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Witte, James. PR-015-17608-R01 Assess and Identify Methods to Reduce Ultrasonic Noise Effects on Ultrasonic Meters. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011603.

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Ultrasonic noise generated by aerodynamic noise attenuating control valves has been known to have an impact on ultrasonic flow meter performance when the noise characteristic is within the frequency range of the ultrasonic transducers and of great enough amplitude to interfere with ultrasonic signal detection by the flow meter electronics. The intent of this project was to demonstrate the effects of control-valve-generated ultrasonic noise on an ultrasonic flow meter. Flow meter performance characteristics observed when exposed to ultrasonic noise were to be identified, and different methods f
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