Relevant bibliographies by topics / Odor vector

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Odor vector'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Odor vector"

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Lee, Do-Hyun, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim, and Tae-Young Heo. "Prediction of Complex Odor from Pig Barn Using Machine Learning and Identifying the Influence of Variables Using Explainable Artificial Intelligence." Applied Sciences 12, no. 24 (2022): 12943. http://dx.doi.org/10.3390/app122412943.

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Odor is a very serious problem worldwide. Thus, odor prediction research has been conducted consistently to help prevent odor. Odor substances that are complex odors are known, but complex odors and odor substances do not have a linear dependence. In addition, depending on the combination of odor substances, the causal relationships, such as synergy and antagonism, are different for complex odors. Research is needed to know this, but the situation is incomplete. Therefore, in this study, research was conducted through data-based research. The complex odor was predicted using various machine le
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Yan, Luchun, Chuandong Wu, and Jiemin Liu. "Visual Analysis of Odor Interaction Based on Support Vector Regression Method." Sensors 20, no. 6 (2020): 1707. http://dx.doi.org/10.3390/s20061707.

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The complex odor interaction between odorants makes it difficult to predict the odor intensity of their mixtures. The analysis method is currently one of the factors limiting our understanding of the odor interaction laws. We used a support vector regression algorithm to establish odor intensity prediction models for binary esters, aldehydes, and aromatic hydrocarbon mixtures, respectively. The prediction accuracy to both training samples and test samples demonstrated the high prediction capacity of the support vector regression model. Then the optimized model was used to generate extra odor d
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Aleixandre, Manuel, Kaoru Nakazawa, and Takamichi Nakamoto. "Optimization of Modulation Methods for Solenoid Valves to Realize an Odor Generation System." Sensors 19, no. 18 (2019): 4009. http://dx.doi.org/10.3390/s19184009.

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An artificial olfactory system coupled with an odor generation system is herein reported. The artificial olfactory system is composed of four chemical sensors consisting of quartz crystal microbalances (QCMs) coated with room temperature ionic liquids (RTILs). The sensors are interrogated by four vector network analyzers, which are used to measure the series resonant frequency and motional resistance. The odor generation system can generate eight different odors and mix them in any composition. Solenoid valves are used to switch the path and control the concentration of the different odors bef
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Yamanaka, Takao, Nitikarn Nimsuk, and Takamichi Nakamoto. "Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor." Presence: Teleoperators and Virtual Environments 16, no. 3 (2007): 307–17. http://dx.doi.org/10.1162/pres.16.3.307.

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In this paper, a method of concurrent recording and regeneration of visual and olfactory information is presented using electronic nose technology. To accomplish this objective, the sensor response patterns of odors in the atmosphere were measured using QCM (quartz crystal microbalance) odor sensors with partially overlapping specificities. Then the odors were identified from the response patterns using LVQ (learning vector quantization), a pattern classification algorithm of neural networks with supervised learning. Visual information, presented as a movie, was captured using a digital video
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Chai, Hwa Chia, and Kek Heng Chua. "The Potential Use of Volatile Biomarkers for Malaria Diagnosis." Diagnostics 11, no. 12 (2021): 2244. http://dx.doi.org/10.3390/diagnostics11122244.

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Pathogens may change the odor and odor-related biting behavior of the vector and host to enhance pathogen transmission. In recent years, volatile biomarker investigations have emerged to identify odors that are differentially and specifically released by pathogens and plants, or the pathogen-infected or even cancer patients. Several studies have reported odors or volatile biomarkers specifically detected from the breath and skin of malaria-infected individuals. This review will discuss the potential use of these odors or volatile biomarkers for the diagnosis of malaria. This approach not only
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Robinson, Ailie, Annette O. Busula, Mirjam A. Voets, et al. "Plasmodium-associated changes in human odor attract mosquitoes." Proceedings of the National Academy of Sciences 115, no. 18 (2018): E4209—E4218. http://dx.doi.org/10.1073/pnas.1721610115.

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Malaria parasites (Plasmodium) can change the attractiveness of their vertebrate hosts to Anopheles vectors, leading to a greater number of vector–host contacts and increased transmission. Indeed, naturally Plasmodium-infected children have been shown to attract more mosquitoes than parasite-free children. Here, we demonstrate Plasmodium-induced increases in the attractiveness of skin odor in Kenyan children and reveal quantitative differences in the production of specific odor components in infected vs. parasite-free individuals. We found the aldehydes heptanal, octanal, and nonanal to be pro
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Nordén, Frans, Behzad Iravani, Martin Schaefer, et al. "The human olfactory bulb communicates perceived odor valence to the piriform cortex in the gamma band and receives a refined representation back in the beta band." PLOS Biology 22, no. 10 (2024): e3002849. http://dx.doi.org/10.1371/journal.pbio.3002849.

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A core function of the olfactory system is to determine the valence of odors. In humans, central processing of odor valence perception has been shown to take form already within the olfactory bulb (OB), but the neural mechanisms by which this important information is communicated to, and from, the olfactory cortex (piriform cortex, PC) in humans are not known. To assess communication between the 2 nodes, we simultaneously measured odor-dependent neural activity in the OB and PC from human participants while obtaining trial-by-trial valence ratings. By doing so, we could determine when subjecti
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Liu, Yuanchang, Nan Peng, Jinlong Kang, Takeshi Onodera, and Rui Yatabe. "Identification of Beef Odors under Different Storage Day and Processing Temperature Conditions Using an Odor Sensing System." Sensors 24, no. 17 (2024): 5590. http://dx.doi.org/10.3390/s24175590.

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This study used an odor sensing system with a 16-channel electrochemical sensor array to measure beef odors, aiming to distinguish odors under different storage days and processing temperatures for quality monitoring. Six storage days ranged from purchase (D0) to eight days (D8), with three temperature conditions: no heat (RT), boiling (100 °C), and frying (180 °C). Gas chromatography–mass spectrometry (GC-MS) analysis showed that odorants in the beef varied under different conditions. Compounds like acetoin and 1-hexanol changed significantly with the storage days, while pyrazines and furans
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Barea-Sepúlveda, Marta, José Luis P. Calle, Marta Ferreiro-González, and Miguel Palma. "Development of a Novel HS-GC/MS Method Using the Total Ion Spectra Combined with Machine Learning for the Intelligent and Automatic Evaluation of Food-Grade Paraffin Wax Odor Level." Foods 13, no. 9 (2024): 1352. http://dx.doi.org/10.3390/foods13091352.

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The intensity of the odor in food-grade paraffin waxes is a pivotal quality characteristic, with odor panel ratings currently serving as the primary criterion for its assessment. This study presents an innovative method for assessing odor intensity in food-grade paraffin waxes, employing headspace gas chromatography with mass spectrometry (HS/GC-MS) and integrating total ion spectra with advanced machine learning (ML) algorithms for enhanced detection and quantification. Optimization was conducted using Box–Behnken design and response surface methodology, ensuring precision with coefficients o
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Husni, Nyayu Latifah, Siti Nurmaini, Irsyadi Yani, and Ade Silvia. "Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4133–47. https://doi.org/10.11591/ijece.v8i6.pp4133-4147.

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Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namel
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Dissertations / Theses on the topic "Odor vector"

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Galan, Roberto Fernandez. "Odor coding and memory traces in the antennal lobe of honeybee." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2003. http://dx.doi.org/10.18452/14997.

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In dieser Arbeit werden zwei wesentliche neue Ergebnisse vorgestellt. Das erste bezieht sich auf die olfaktorische Kodierung und das zweite auf das sensorische Gedaechtnis. Beide Phaenomene werden am Beispiel des Gehirns der Honigbiene untersucht. In Bezug auf die olfaktorische Kodierung zeige ich, dass die neuronale Dynamik waehrend der Stimulation im Antennallobus duftspezifische Trajektorien beschreibt, die in duftspezifischen Attraktoren enden. Das Zeitinterval, in dem diese Attraktoren erreicht werden, betraegt unabhaengig von der Identitaet und der Konzentration des Duftes ungefaehr 800
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Носова, Яна Віталіївна. "Методи та засоби визначення респіраторно-ольфакторних порушень". Thesis, Харківський національний університет радіоелектроніки, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/39479.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.11.17 – біологічні та медичні прилади і системи. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019. За відсутності сучасних доказових методів ольфактометрії доцільно розробляти методи та засоби респіраторно-ольфакторних порушень. У дисертаційній роботі подано розв'язання конкретного наукового завдання – розробка методів та засобів об'єктивного визначення респіраторно-ольфакторних порушень. На основі дослідження аеродинаміки носа на мікрорівні розроблено метод визначення
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Носова, Яна Віталіївна. "Методи та засоби визначення респіраторно-ольфакторних порушень". Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/39477.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.11.17 – біологічні та медичні прилади і системи. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019. За відсутності сучасних доказових методів ольфактометрії доцільно розробляти методи та засоби респіраторно-ольфакторних порушень. У дисертаційній роботі подано розв'язання конкретного наукового завдання – розробка методів та засобів об'єктивного визначення респіраторно-ольфакторних порушень. На основі дослідження аеродинаміки носа на мікрорівні розроблено метод визначення
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Matowo, Nancy Stephen. "Attracting and killing outdoor-biting malaria vectors using odour-baited mosquito landing boxes (MLB) equipped with low-cost electrocuting grids." Thesis, 2015. http://hdl.handle.net/10539/18436.

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This research report has been submitted to the Faculty of Health Sciences, University of the Witwatersrand , in partial fulfillment of the requirements for the award of the Masters of Science in Medicine (Biology and Control of African Disease Vectors)degree. May 2015<br>Background: Ongoing residual malaria transmission is increasingly mediated by outdoor-biting mosquito populations, especially in communities where insecticidal interventions like indoor residual insecticides (IRS) and long-lasting insecticide treated nets (LLINs), are used. Often, the vectors are also physiologically resistant
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Books on the topic "Odor vector"

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Knols, B. G. J. Odour-mediated host-seeking behaviour of the Afro-tropical malaria vector Anopheles gambiae Giles. [s.n.], 1996.

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Book chapters on the topic "Odor vector"

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Zhang, Lei, Fengchun Tian, and David Zhang. "Discriminative Support Vector Machine-Based Odor Classification." In Electronic Nose: Algorithmic Challenges. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2167-2_6.

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Kusumoputro, B. "Development of Fuzzy Learning Vector Quantization Neural Network for Artificial Odor Discrimination System." In Artificial Neural Nets and Genetic Algorithms. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6384-9_52.

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Khan, Z., R. Ignell, and S. R. Hill. "Chapter 14: Odour-mediated oviposition-site selection by mosquitoes." In Sensory ecology of disease vectors. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-932-9_14.

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Hinze, A., S. R. Hill, and R. Ignell. "Chapter 9: Odour-mediated host selection and discrimination in mosquitoes." In Sensory ecology of disease vectors. Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-932-9_9.

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Omatu Sigeru. "Odor Classification of Human Body by Neural Networks." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-900-3-463.

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This paper considers classification of human body odor based on the neural network of learning vector quantization (LVQ). Odors of human body are sweaty odor, middle-aged odor, and age-of-odor, which are called three body odor. The sweaty odor is detected for humans from teenagers to twenties. the middle-aged odor is for humans from thirties to fifties, and the age-of-odor is for humans over fifties. We classify odors into three odors stated above. The sweaty odor is an odor similar to ammonia and isovaleric acid, middle-aged odor is similar to diacetyl, and the age-of-odor is similar to 2-non
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Ignell, Rickard, Meryem S. Sengul, Sharon R. Hill, and Bill S. Hansson. "Odour coding and neural connections." In Olfaction in vector-host interactions. Brill | Wageningen Academic, 2010. http://dx.doi.org/10.3920/9789086866984_006.

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Gardner, Julian W., and Philip N. Bartlett. "Signal processing in electronic nose instrumentation." In Electronic Noses. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198559559.003.0006.

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Abstract The architecture of a typical electronic nose (and a chemical sensoric array device, ChemSAD) may be conveniently represented by a number of process elements in a functional block diagram as shown in Fig. 6.1 (Gardner and Bartlett 1994). The input signal to the system is either a simple odour (e.g. limonene) or a complex odour (e.g. the headspace of a lager beer) and is represented here by a concentration vector cj(t).
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Gardner, Julian W., and Philip N. Bartlett. "Data processing techniques." In Electronic Noses. Oxford University PressOxford, 1999. http://dx.doi.org/10.1093/oso/9780198559559.003.0007.

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Abstract The problem of analysing the data generated by an electronic nose (or ChemSAD) is basically one of determining the underlying relationships between one set of independent variables1 (i.e. the output from an array of n sensors) and another set of dependent variables (i.e. odour class and component concentrations). As described in Section 6.5 (p. 136), the method employed may be either an unsupervised one that seeks to discriminate between unknown odour vectors or, alternatively, it may be a supervised one in the sense that unknown odour vectors are analysed using relationships found a
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Radzi, Dr Nur Fadzilah Mohamad, Dr Azura Che Soh, Dr Asnor Juraiza Ishak, and Dr Mohd Khair Hassan. "Machine Learning Algorithms for Herbs Recognition Based on Physical Properties." In Machine Learning Algorithms for Intelligent Data Analytics. Technoarete Research And Development Association, 2022. http://dx.doi.org/10.36647/mlaida/2022.12.b1.ch004.

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Currently, herbs recognition system has become a promising method to identify herbs species. Misuse of herbal medicine can cause serious health problems due to toxicological effects of phytochemical. As a result, a system that able to distinguish the types of herbs is needed. Most herbs recognition systems available in the market are dependent on experts. In this research, the concern is to identify the herbs compounds within the same group species where the physical appearance and aroma are similar. The work mainly focuses on herbs recognition system that intended for researchers and medical
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Goletsis, Y., C. Papaloukas, Th Exarhos, and C. D. Katsis. "Bankruptcy Prediction through Artificial Intelligence." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch320.

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Bankruptcy prediction or corporate failure is considered a classic issue in both, academic and business communities. Bankruptcy risk is one of the most important factors (if not the most important one) to be considered when credit requests are screened or even existing debtors are evaluated. On the other hand, all potential stakeholders (shareholders, suppliers, customers, employees, creditors, auditors, etc.) have potential interest to identify if a company is on a trajectory that is tending towards failure. Commercial banks, public accounting firms and other institutional entities (e.g., bon
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Conference papers on the topic "Odor vector"

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Husni, Nyayu Latifah, Ade Silvia Handayani, Siti Nurmaini, and Irsyadi Yani. "Odor classification using Support Vector Machine." In 2017 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2017. http://dx.doi.org/10.1109/icecos.2017.8167170.

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Kusumoputro, Benyamin, Hary Budiarto, and Wisnu Jatmiko. "Fuzzy learning vector quantization neural network and its application for artificial odor recognition system." In AeroSense 2000, edited by Kevin L. Priddy, Paul E. Keller, and David B. Fogel. SPIE, 2000. http://dx.doi.org/10.1117/12.380590.

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ul Hasan, Najam, Naveed Ejaz, Waleed Ejaz, and Hyung Seok Kim. "Malicious odor item identification using an electronic nose based on support vector machine classification." In 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE). IEEE, 2012. http://dx.doi.org/10.1109/gcce.2012.6379638.

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Kozorez, A. V., and E. I. Lipatov. "NV¯ center emulation in an external magnetic field." In 8th International Congress on Energy Fluxes and Radiation Effects. Crossref, 2022. http://dx.doi.org/10.56761/efre2022.n4-p-022002.

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The work is devoted to emulating the correlation of a projection of magnetic field vector on axes of nitrogen-vacancy center in diamond lattice with frequencies of optically detected magnetic resonance (ODMR). The projection of the magnetic field on the axes, which reflect the bonds of the carbon atom vacancy with the neighboring carbon atoms and the nitrogen atom, is calculated in this work. The paper highlights the algorithmic representation of the above calculations by software. The dependence of the optically detected magnetic resonance on the direction and magnitude of the magnetic induct
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Jatmiko, W., Rochmatullah, B. Kusumoputro, H. R. Sanabila, K. Sekiyama, and T. Fukuda. "Visualization and statistical analysis of fuzzy-neuro learning vector quantization based on particle swarm optimization for recognizing mixture odors." In 2009 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE, 2009. http://dx.doi.org/10.1109/mhs.2009.5352022.

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