Academic literature on the topic 'Odour source localization'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Odour source localization.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Odour source localization"
Ishida, H., K. Hayashi, M. Takakusaki, T. Nakamoto, T. Moriizumi, and R. Kanzaki. "Odour-source localization system mimicking behaviour of silkworm moth." Sensors and Actuators A: Physical 51, no. 2-3 (November 1995): 225–30. http://dx.doi.org/10.1016/0924-4247(95)01220-6.
Full textSEELINGER, GÜNTER, and SIGRID GAGEL. "On the function of sex pheromone components in Periplaneta americana: improved odour source localization with periplanone-A." Physiological Entomology 10, no. 2 (June 1985): 221–34. http://dx.doi.org/10.1111/j.1365-3032.1985.tb00038.x.
Full textCraven, Brent A., Eric G. Paterson, and Gary S. Settles. "The fluid dynamics of canine olfaction: unique nasal airflow patterns as an explanation of macrosmia." Journal of The Royal Society Interface 7, no. 47 (December 9, 2009): 933–43. http://dx.doi.org/10.1098/rsif.2009.0490.
Full textHayes, A. T., A. Martinoli, and R. M. Goodman. "Distributed odor source localization." IEEE Sensors Journal 2, no. 3 (June 2002): 260–71. http://dx.doi.org/10.1109/jsen.2002.800682.
Full textZheng, Jun Bao, Lei Yang, Jing Bo Chen, and Ya Ming Wang. "Study on Odor Source Localization Method Based on Bionic Olfaction." Applied Mechanics and Materials 448-453 (October 2013): 391–95. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.391.
Full textLalitta, Suwantaweekul, Geunho Lee, and Nak Young Chong. "2A1-J05 Odor Source Intensity-based Localization Algorithm for Decentralized Swarm Robots(Robotic Systems Based on Autonomous Decentralized Architecture)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2012 (2012): _2A1—J05_1—_2A1—J05_4. http://dx.doi.org/10.1299/jsmermd.2012._2a1-j05_1.
Full textLiu, Zhen Zhang, Yi Jun Wang, and Tien Fu Lu. "Odor Source Localization Using Multiple Robots in Complicated City-Like Environments." Advanced Materials Research 291-294 (July 2011): 3337–44. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.3337.
Full textCui, Shi Gang, Guang Ming Zeng, Fan Liang, and Jiang Lei Dong. "Simulated Annealing Algorithm Based Single Robot Odor Source Localization Strategy." Applied Mechanics and Materials 494-495 (February 2014): 1286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1286.
Full textYang, Lei, Jun Bao Zheng, Jing Bo Chen, and Ya Ming Wang. "Review of Odor Source Localization Robot Based on Bionic Olfaction." Applied Mechanics and Materials 462-463 (November 2013): 750–54. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.750.
Full textde Croon, G. C. H. E., L. M. O'Connor, C. Nicol, and D. Izzo. "Evolutionary robotics approach to odor source localization." Neurocomputing 121 (December 2013): 481–97. http://dx.doi.org/10.1016/j.neucom.2013.05.028.
Full textDissertations / Theses on the topic "Odour source localization"
Liu, Zhenzhang. "Odour source localization using multiple plume-tracing mobile robots." Thesis, 2010. http://hdl.handle.net/2440/65209.
Full textThesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2010
Thomas, Joseph. "Odor Source Localization Using Swarm Robotics." Thesis, 2008. http://hdl.handle.net/2005/698.
Full textCaetano, José Miguel Marques. "Development of an Odor Compass: 2D Thermal Anemometer with Olfactory Information." Master's thesis, 2017. http://hdl.handle.net/10316/83123.
Full textMuitos animais usam o olfato como um sentido de orientação combinando a informação sobre a concentração de um odor específico, presente no ar, e a velocidade do vento. Este tipo de deteção está ligado aos conceitos de deteção baseados em quimiotaxia e anemotaxia, uma vez que se consideram as propriedades químicas e eólicas aquando da localização da origem de um odor. No entanto, o olfato é muitas vezes desprezado, pelos seres humanos, como um sentido de orientação, não sendo, portanto, objeto de profunda investigação e/ou desenvolvimento. Assim, esta tese pretende dar uma contribuição nesta área através do desenvolvimento de um compasso de odores baseado em métodos térmicos, para medir as propriedades de um fluido, e um sensor de gás eletroquímico, de forma a medir a concentração do odor. Os compassos de odor são adequados para o uso em robôs móveis, possibilitando o rastreamento ativo de um odor, e em redes de sensores ambientais, permitindo um rastreamento estático de odor. Estes podem, portanto, ser usados em aplicações como o controlo de ambientes de vida e de trabalho num edifício, inspeção de ambientes perigosos utilizando robôs móveis, deteção de drogas e explosivos, e deteção precoce de incêndios florestais. Para desenvolver tal dispositivo, foram colocados vários termístores, também designados de elementos aquecidos, em torno de uma estrutura triangular, permitindo que a relação entre as suas respostas possa ser utilizada para determinar a direção da origem de um odor enquanto se usa um sensor de gás de óxidos metálicos para medir a concentração do mesmo.Testes em laboratório realizados com etanol, de forma a produzir a quantidade desejada de odor, e um processo de calibração completamente automatizado, mostraram que o sensor desenvolvido consegue indicar a direção da origem de um odor com precisão, medindo a velocidade do fluxo de ar com um erro absoluto médio de 0,0245 m/s e a direção do fluxo de ar com um erro absoluto médio de 3%.
Many animals use olfaction as a sense of orientation by combining the information regarding the concentration of a specific odor present in the air and the velocity of the wind. This type of detection is linked to the concepts of chemotaxis and anemotaxis based detection, since both chemical and wind properties are considered when locating the source of an odor. However, olfaction is often disregarded by humans as a sense of orientation, thus not being subject of deep research and/or development. Therefore, this thesis intends to give a contribution in this area through the development of an odor compass based on thermal methods for measuring the flow properties of a fluid and an electrochemical gas sensor for measuring its odor concentration. Odor compasses are suitable for usage in both mobile robots, in order to perform an active odor tracing, and environmental sensor networks, allowing for a static odor tracing. They can, therefore, be used in applications like control of living and working environments in a building, inspection of dangerous environments with mobile robots, drugs and explosives detection and earlier detection of active wildfires. To develop such a device, multiple thermistors, also referred to as heated elements, were placed around a triangular structure, so that the relation between their responses can be used to determine the direction of the odor source, while a metal oxide gas sensor was used to measure the odor concentration.Indoor experiments realized with ethanol, in order to produce the desired amount of odor, and a fully automated calibration process showed that the developed sensor could indicate the direction of the odor source with precision, measuring the airflow velocity with a mean absolute error of 0.0245 m/s and the airflow direction with a 3% mean absolute error.
Book chapters on the topic "Odour source localization"
Gaurav, Kumar, Ramanpreet Singh, Ajay Kumar, and Ram Dayal. "Application of a Nature-Inspired Algorithm in Odor Source Localization." In Applied Mechatronics and Mechanics, 51–66. Includes bibliographical references and index.: Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003019060-4.
Full textYan, Zheng, Tao Jing, Si-Wen Chen, Meh Jabeen, and Qing-Hao Meng. "A Novel Odor Source Localization Method via a Deep Neural Network-Based Odor Compass." In ROBOT2022: Fifth Iberian Robotics Conference, 189–200. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21062-4_16.
Full textLochmatter, Thomas, and Alcherio Martinoli. "Understanding the Potential Impact of Multiple Robots in Odor Source Localization." In Distributed Autonomous Robotic Systems 8, 239–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00644-9_21.
Full textLi, Nanqi, Qiang Lu, Yang He, and Jian Wang. "Particle Swarm Optimization Based on Shannon’s Entropy for Odor Source Localization." In Communications in Computer and Information Science, 140–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45261-5_15.
Full textJain, Upma, Ritu Tiwari, and W. Wilfred Godfrey. "Odor Source Localization by Concatenating Particle Swarm Optimization and Grey Wolf Optimizer." In Advances in Intelligent Systems and Computing, 145–53. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8237-5_14.
Full textZou, Yuhua, and Dehan Luo. "A Modified Ant Colony Algorithm Used for Multi-robot Odor Source Localization." In Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 502–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85984-0_60.
Full textHoang, Anh-Quy, and Minh-Trien Pham. "Swarm Intelligence-Based Approach for Macroscopic Scale Odor Source Localization Using Multi-robot System." In Advances in Information and Communication Technology, 593–602. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49073-1_63.
Full textWang, Yang, Qing-Hao Meng, and Ming Zeng. "Vision-Aided Spiral-Surge Algorithm for Odor Source Localization in Indoor Natural Ventilated Environments." In Advances in Intelligent and Soft Computing, 751–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27329-2_103.
Full textLi, Fei, Qing-Hao Meng, Shuang Bai, Ji-Gong Li, and Dorin Popescu. "Probability-PSO Algorithm for Multi-robot Based Odor Source Localization in Ventilated Indoor Environments." In Intelligent Robotics and Applications, 1206–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88513-9_128.
Full textJain, Upma, W. Wilfred Godfrey, and Ritu Tiwari. "A Hybridization of Gravitational Search Algorithm and Particle Swarm Optimization for Odor Source Localization." In Robotic Systems, 1519–33. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch072.
Full textConference papers on the topic "Odour source localization"
Marques, L., and A. T. De Almeida. "Electronic nose-based odour source localization." In 6th International Workshop on Advanced Motion Control. Proceedings. IEEE, 2000. http://dx.doi.org/10.1109/amc.2000.862824.
Full textCastro, Alexander, Nevo Magnezi, Biruk Sintayehu, Alexander Quinto, and Pamela Abshire. "Odor Source Localization on a Nano Quadcopter." In 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2018. http://dx.doi.org/10.1109/biocas.2018.8584769.
Full textZhenzhang Liu and Tien-Fu Lu. "Odor source localization in complicated indoor environments." In 2008 10th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2008. http://dx.doi.org/10.1109/icarcv.2008.4795548.
Full textCabrita, Goncalo, Lino Marques, and Veysel Gazi. "Virtual cancelation plume for multiple odor source localization." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6697161.
Full textRahbar, Faezeh, Ali Marjovi, and Alcherio Martinoli. "An Algorithm for Odor Source Localization based on Source Term Estimation." In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019. http://dx.doi.org/10.1109/icra.2019.8793784.
Full textLi, Ji-Gong, Qing-Hao Meng, Fei Li, Ming Zeng, and Dorin Popescu. "Mobile robot based odor source localization via particle filter." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400388.
Full textLu, Qiang, and Qing-Long Han. "A distributed coordination control scheme for odor source localization." In IECON 2010 - 36th Annual Conference of IEEE Industrial Electronics. IEEE, 2010. http://dx.doi.org/10.1109/iecon.2010.5675475.
Full textZou, Yuhua, Dehan Luo, and Weihai Chen. "Swarm robotic odor source localization using ant colony algorithm." In 2009 IEEE International Conference on Control and Automation (ICCA). IEEE, 2009. http://dx.doi.org/10.1109/icca.2009.5410516.
Full textMiao, Yanzi, Xiaoping Ma, Xin Jin, and Huijuan Lu. "Mobile Robot Odor Source Localization Based on Modified FWA." In 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2018. http://dx.doi.org/10.1109/cyber.2018.8688288.
Full textPing, Jiang, Wang Yu-zhen, and Xu Mei-rong. "Mobile robot odor source localization via semi-tensor product." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7260576.
Full text