Relevant bibliographies by topics / Multiple Odor Sources Localization

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

Academic literature on the topic 'Multiple Odor Sources Localization'

Author: Grafiati
Published: 3 June 2025
Last updated: 22 June 2025

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Journal articles on the topic "Multiple Odor Sources Localization"

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Staples, Marshall, Chris Hugenholtz, Alex Serrano-Ramirez, Thomas E. Barchyn, and Mozhou Gao. "A Comparison of Multiple Odor Source Localization Algorithms." Sensors 23, no. 10 (2023): 4799. http://dx.doi.org/10.3390/s23104799.

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There are two primary algorithms for autonomous multiple odor source localization (MOSL) in an environment with turbulent fluid flow: Independent Posteriors (IP) and Dempster–Shafer (DS) theory algorithms. Both of these algorithms use a form of occupancy grid mapping to map the probability that a given location is a source. They have potential applications to assist in locating emitting sources using mobile point sensors. However, the performance and limitations of these two algorithms is currently unknown, and a better understanding of their effectiveness under various conditions is required prior to application. To address this knowledge gap, we tested the response of both algorithms to different environmental and odor search parameters. The localization performance of the algorithms was measured using the earth mover’s distance. Results indicate that the IP algorithm outperformed the DS theory algorithm by minimizing source attribution in locations where there were no sources, while correctly identifying source locations. The DS theory algorithm also identified actual sources correctly but incorrectly attributed emissions to many locations where there were no sources. These results suggest that the IP algorithm offers a more appropriate approach for solving the MOSL problem in environments with turbulent fluid flow.
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Liu, 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.

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The detection of a dangerous emission source location has the potential to be enhanced by using plume-tracing mobile robots, without endangering human life during the detection and source localization process. So far, many researchers focus on odor source localization in simple & laboratory based environments. The present study focuses on more real life odor source localization scenarios. In this study, multiple robots were used and coordinated by a supervisory program to locate an odor source in complicated city-like environments. A series of simulations has been conducted and the results demonstrated the potential of the supervisory program to effectively control a number of robots to locate a dangerous odor source in real life scenarios.
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Zhang, Yu Li, and Xiao Ping Ma. "Localizing Multiple Odor Sources Using Virtual Physics Based Robots." Advanced Materials Research 756-759 (September 2013): 223–27. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.223.

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This paper is concerned with the problem of multiple chemical sources localization using multi-robot system. A multi-robot cooperation strategy with virtual physics force, which includes structure formation force, goal force, repulsion force and rotary force, is proposed. First, in order to test the effectiveness of the proposed strategy, two sources plume model are constructed by computation fluid dynamics simulations. Second, parallel search by two groups robots is used to locate two sources in simulation environment. With the purpose of preventing two groups from locating the same source, we proposed a rotary force which made each subgroup can locate different chemical source. Simulation experiment discussed the influence of the varied wind direction/ speed frequency and methane release frequency and different initial positions of two groups to the search performance. Finally, the comparative result about them is illustrated.
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Shigaki, Shunsuke, Mayu Yamada, Daisuke Kurabayashi, and Koh Hosoda. "Robust Moth-Inspired Algorithm for Odor Source Localization Using Multimodal Information." Sensors 23, no. 3 (2023): 1475. http://dx.doi.org/10.3390/s23031475.

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Odor-source localization, by which one finds the source of an odor by detecting the odor itself, is an important ability to possess in order to search for leaking gases, explosives, and disaster survivors. Although many animals possess this ability, research on implementing olfaction in robotics is still developing. We developed a novel algorithm that enables a robot to localize an odor source indoors and outdoors by taking inspiration from the adult male silk moth, which we used as the target organism. We measured the female-localization behavior of the silk moth by using a virtual reality (VR) system to obtain the relationship between multiple sensory stimuli and behavior during the localization behavior. The results showed that there were two types of search active and inactive depending on the direction of odor and wind detection. In an active search, the silk moth moved faster as the odor-detection frequency increased, whereas in the inactive search, they always moved slower under all odor-detection frequencies. This phenomenon was constructed as a robust moth-inspired (RMI) algorithm and implemented on a ground-running robot. Experiments on odor-source localization in three environments with different degrees of environmental complexity showed that the RMI algorithm has the best localization performance among conventional moth-inspired algorithms. Analysis of the trajectories showed that the robot could move smoothly through the odor plume even when the environment became more complex. This indicates that switching and modulating behavior based on the direction of odor and wind detection contributes to the adaptability and robustness of odor-source localization.
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Jatmiko, W., F. Jovan, R. Y. S. Dhiemas, et al. "PSO ALGORITHM FOR SINGLE AND MULTIPLE ODOR SOURCES LOCALIZATION PROBLEMS: PROGRESS AND CHALLENGE." International Journal on Smart Sensing and Intelligent Systems 9, no. 3 (2016): 1431–78. http://dx.doi.org/10.21307/ijssis-2017-925.

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Jiang, Tianshu, Hao Guo, Lingpu Ge, Fumihiro Sassa, and Kenshi Hayashi. "Inkjet-Printed Localized Surface Plasmon Resonance Subpixel Gas Sensor Array for Enhanced Identification and Visualization of Gas Spatial Distributions from Multiple Odor Sources." Sensors 24, no. 20 (2024): 6731. http://dx.doi.org/10.3390/s24206731.

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The visualization of the spatial distributions of gases from various sources is essential to understanding the composition, localization, and behavior of these gases. In this study, an inkjet-printed localized surface plasmon resonance (LSPR) subpixel gas sensor array was developed to visualize the spatial distributions of gases and to differentiate between acetic acid, geraniol, pentadecane, and cis-jasmone. The sensor array, which integrates gold nanoparticles (AuNPs), silver nanoparticles (AgNPs), and fluorescent pigments, was positioned 3 cm above the gas source. Hyperspectral imaging was used to capture the LSPR spectra across the sensor array, and these spectra were then used to construct gas information matrices. Principal component analysis (PCA) enabled effective classification of the gases and localization of their sources based on observed spectral differences. Heat maps that visualized the gas concentrations were generated using the mean squared error (MSE) between the sensor responses and reference spectra. The array identified and visualized the four gas sources successfully, thus demonstrating its potential for gas localization and detection applications. The study highlights a straightforward, cost-effective approach to gas sensing and visualization, and in future work, we intend to refine the sensor fabrication process and enhance the detection of complex gas mixtures.
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Luong, Duc-Nhat, and Daisuke Kurabayashi. "Odor Source Localization in Obstacle Regions Using Switching Planning Algorithms with a Switching Framework." Sensors 23, no. 3 (2023): 1140. http://dx.doi.org/10.3390/s23031140.

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Odor source localization (OSL) robots are essential for safety and rescue teams to overcome the problem of human exposure to hazardous chemical plumes. However, owing to the complicated geometry of environments, it is almost impossible to construct the dispersion model of the odor plume in practical situations to be used for probabilistic odor source search algorithms. Additionally, as time is crucial in OSL tasks, dynamically modifying the robot’s balance of emphasis between exploration and exploitation is desired. In this study, we addressed both the aforementioned problems by simplifying the environment with an obstacle region into multiple sub-environments with different resolutions. Subsequently, a framework was introduced to switch between the Infotaxis and Dijkstra algorithms to navigate the agent and enable it to reach the source swiftly. One algorithm was used to guide the agent in searching for clues about the source location, whereas the other facilitated the active movement of the agent between sub-environments. The proposed algorithm exhibited improvements in terms of success rate and search time. Furthermore, the implementation of the proposed framework on an autonomous mobile robot verified its effectiveness. Improvements were observed in our experiments with a robot when the success rate increased 3.5 times and the average moving steps of the robot were reduced by nearly 35%.
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Rahbar, Faezeh, Ali Marjovi, and Alcherio Martinoli. "Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization." Sensors 19, no. 3 (2019): 656. http://dx.doi.org/10.3390/s19030656.

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Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains. In this paper, we present an algorithm based on Source Term Estimation for odor source localization that is coupled with a navigation method based on partially observable Markov decision processes. We propose a novel strategy to balance exploration and exploitation in navigation. Moreover, we study two variants of the algorithm, one exploiting a global and the other one a local framework. The method was evaluated through high-fidelity simulations and in a wind tunnel emulating a quasi-laminar air flow in a controlled environment, in particular by systematically investigating the impact of multiple algorithmic and environmental parameters (wind speed and source release rate) on the overall performance. The outcome of the experiments showed that the algorithm is robust to different environmental conditions in the global framework, but, in the local framework, it is only successful in relatively high wind speeds. In the local framework, on the other hand, the algorithm is less demanding in terms of energy consumption as it does not require any absolute positioning information from the environment and the robot travels less distance compared to the global framework.
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LI, Ji-Gong, Jing YANG, Jie-Yong ZHOU, Jia LIU, and Guang-Da LU. "Mapping odour sources with a mobile robot in a time variant airflow environment." Austrian Contributions to Veterinary Epidemiology (ACVE) 8 (November 6, 2015): 7. https://doi.org/10.5281/zenodo.33825.

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This paper focuses on the problem of mapping odour sources using a mobile robot in a time-variant airflow environment, and provides a localization method which uses the Dempster-Shafer (D-S) theory to reason the possible locations of odour sources. In the proposed method, the robot carries out the D-S inference and iteratively updates a grid map, using the successive measurements from a gas sensor and an anemometer when the robot is cruising in the given search area. Simulations are carried out and the results in a time-variant airflow environment show that the locations of the multiple odour sources can be estimated online with the proposed method.
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Jain, Upma, Ritu Tiwari, and W. Wilfred Godfrey. "Multiple odor source localization using diverse-PSO and group-based strategies in an unknown environment." Journal of Computational Science 34 (May 2019): 33–47. http://dx.doi.org/10.1016/j.jocs.2019.04.008.

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Dissertations / Theses on the topic "Multiple Odor Sources Localization"

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Lombard, Anthony [Verfasser]. "Localization of Multiple Independent Sound Sources in Adverse Environments / Anthony Lombard." München : Verlag Dr. Hut, 2012. http://d-nb.info/1029400148/34.

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Swartling, Mikael. "Direction of Arrival Estimation and Localization of Multiple Speech Sources in Enclosed Environments." Doctoral thesis, Blekinge Tekniska Högskola, Avdelningen för elektroteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00520.

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Speech communication is gaining in popularity in many different contexts as technology evolves. With the introduction of mobile electronic devices such as cell phones and laptops, and fixed electronic devices such as video and teleconferencing systems, more people are communicating which leads to an increasing demand for new services and better speech quality. Methods to enhance speech recorded by microphones often operate blindly without prior knowledge of the signals. With the addition of multiple microphones to allow for spatial filtering, many blind speech enhancement methods have to operate blindly also in the spatial domain. When attempting to improve the quality of spoken communication it is often necessary to be able to reliably determine the location of the speakers. A dedicated source localization method on top of the speech enhancement methods can assist the speech enhancement method by providing the spatial information about the sources. This thesis addresses the problem of speech-source localization, with a focus on the problem of localization in the presence of multiple concurrent speech sources. The primary work consists of methods to estimate the direction of arrival of multiple concurrent speech sources from an array of sensors and a method to correct the ambiguities when estimating the spatial locations of multiple speech sources from multiple arrays of sensors. The thesis also improves the well-known SRP-based methods with higher-order statistics, and presents an analysis of how the SRP-PHAT performs when the sensor array geometry is not fully calibrated. The thesis is concluded by two envelope-domain-based methods for tonal pattern detection and tonal disturbance detection and cancelation which can be useful to further increase the usability of the proposed localization methods. The main contribution of the thesis is a complete methodology to spatially locate multiple speech sources in enclosed environments. New methods and improvements to the combined solution are presented for the direction-of-arrival estimation, the location estimation and the location ambiguity correction, as well as a sensor array calibration sensitivity analysis.
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Minotto, Vicente Peruffo. "Audiovisual voice activity detection and localization of simultaneous speech sources." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/77231.

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Em vista da tentência de se criarem intefaces entre humanos e máquinas que cada vez mais permitam meios simples de interação, é natural que sejam realizadas pesquisas em técnicas que procuram simular o meio mais convencional de comunicação que os humanos usam: a fala. No sistema auditivo humano, a voz é automaticamente processada pelo cérebro de modo efetivo e fácil, também comumente auxiliada por informações visuais, como movimentação labial e localizacão dos locutores. Este processamento realizado pelo cérebro inclui dois componentes importantes que a comunicação baseada em fala requere: Detecção de Atividade de Voz (Voice Activity Detection - VAD) e Localização de Fontes Sonoras (Sound Source Localization - SSL). Consequentemente, VAD e SSL também servem como ferramentas mandatórias de pré-processamento em aplicações de Interfaces Humano-Computador (Human Computer Interface - HCI), como no caso de reconhecimento automático de voz e identificação de locutor. Entretanto, VAD e SSL ainda são problemas desafiadores quando se lidando com cenários acústicos realísticos, particularmente na presença de ruído, reverberação e locutores simultâneos. Neste trabalho, são propostas abordagens para tratar tais problemas, para os casos de uma e múltiplas fontes sonoras, através do uso de informações audiovisuais, explorando-se variadas maneiras de se fundir as modalidades de áudio e vídeo. Este trabalho também emprega um arranjo de microfones para o processamento de som, o qual permite que as informações espaciais dos sinais acústicos sejam exploradas através do algoritmo estado-da-arte SRP (Steered Response Power). Por consequência adicional, uma eficiente implementação em GPU do SRP foi desenvolvida, possibilitando processamento em tempo real do algoritmo. Os experimentos realizados mostram uma acurácia média de 95% ao se efetuar VAD de até três locutores simultâneos, e um erro médio de 10cm ao se localizar tais locutores.<br>Given the tendency of creating interfaces between human and machines that increasingly allow simple ways of interaction, it is only natural that research effort is put into techniques that seek to simulate the most conventional mean of communication humans use: the speech. In the human auditory system, voice is automatically processed by the brain in an effortless and effective way, also commonly aided by visual cues, such as mouth movement and location of the speakers. This processing done by the brain includes two important components that speech-based communication require: Voice Activity Detection (VAD) and Sound Source Localization (SSL). Consequently, VAD and SSL also serve as mandatory preprocessing tools for high-end Human Computer Interface (HCI) applications in a computing environment, as the case of automatic speech recognition and speaker identification. However, VAD and SSL are still challenging problems when dealing with realistic acoustic scenarios, particularly in the presence of noise, reverberation and multiple simultaneous speakers. In this work we propose some approaches for tackling these problems using audiovisual information, both for the single source and the competing sources scenario, exploiting distinct ways of fusing the audio and video modalities. Our work also employs a microphone array for the audio processing, which allows the spatial information of the acoustic signals to be explored through the stateof- the art method Steered Response Power (SRP). As an additional consequence, a very fast GPU version of the SRP is developed, so that real-time processing is achieved. Our experiments show an average accuracy of 95% when performing VAD of up to three simultaneous speakers and an average error of 10cm when locating such speakers.
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Khaddour, Hasan. "Lokalizace a interpretace zdrojů zvuku v akustických polich." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-233686.

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Disertační práce se zabývá lokalizací zdrojů zvuku a akustickým zoomem. Hlavním cílem této práce je navrhnout systém s akustickým zoomem, který přiblíží zvuk jednoho mluvčího mezi skupinou mluvčích, a to i když mluví současně. Tento systém je kompatibilní s technikou prostorového zvuku. Hlavní přínosy disertační práce jsou následující: 1. Návrh metody pro odhad více směrů přicházejícího zvuku. 2. Návrh metody pro akustické zoomování pomocí DirAC. 3. Návrh kombinovaného systému pomocí předchozích kroků, který může být použit v telekonferencích.
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Kowadlo, Gideon. "Robot odour localisation in enclosed and cluttered environments using naïve physics." Monash University. Faculty of Engineering. Department of Electrical and Computer Systems Engineering, 2007. http://arrow.monash.edu.au/hdl/1959.1/53471.

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Odour localisation is the problem of finding the source of an odour or other volatile chemical. It promises many valuable practical and humanitarian applications. Most localisation methods require a robot to reactively track an odour plume along its entire length. This approach is time consuming and may be not be possible in a cluttered indoor environment, where airflow tends to form sectors of circulating airflow. Such environments may be encountered in crawl-ways under floors, roof cavities, mines, caves, tree-canopies, air-ducts, sewers or tunnel systems. Operation in these places is important for such applications as search and rescue and locating the sources of toxic chemicals in an industrial setting. This thesis addresses odour localisation in this class of environments. The solution consists of a sense-map-plan-act style control scheme (and low level behaviour based controller) with two main stages. Firstly, the airflow in the environment is modelled using naive physics rules which are encapsulated into an algorithm named a Naive Reasoning Machine. It was used in preference to conventional methods as it is fast, does not require boundary conditions, and most importantly, provides approximate solutions to the degree of accuracy required for the task, with analogical data structures that are readily useful to a reasoning algorithm. Secondly, a reasoning algorithm navigates the robot to specific target locations that are determined with a physical map, the airflow map, and knowledge of odour dispersal. Sensor measurements at the target positions provide information regarding the likelihood that odour was emitted from potential odour source locations. The target positions and their traversal are determined so that all the potential odour source sites are accounted for. The core method provides values corresponding to the confidence that the odour source is located in a given region. A second search stage exploiting vision is then used to locate the specific location of the odour source within the predicted region. This comprises the second part of a bi-modal, two-stage search, with each stage exploiting complementary sensing modalities. Single hypothesis airflow modelling faces limitations due to the fact that large differences between airflow topologies are predicted for only small variations in a physical map. This is due to uncertainties in the map and approximations in the modelling process. Furthermore, there are uncertainties regarding the flow direction through inlet/outlet ducts. A method is presented for dealing with these uncertainties, by generating multiple airflow hypotheses. As the robot performs odour localisation, airflow in the environment is measured and used to adjust the confidences of the hypotheses using Bayesian inference. The best hypothesis is then selected, which allows the completion of the localisation task. This method improves the robustness of odour localisation in the presence of uncertainties, making it possible where the single hypothesis method would fail. It also demonstrates the potential for integrating naive physics into a statistical framework. Extensive experimental results are presented to support the methods described above.
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Aloui, Nadia. "Localisation sonore par retournement temporel." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT079/document.

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L'objectif général de cette thèse était de proposer une solution de localisation en intérieur à la fois simple et capable de surmonter les défis de la propagation dans les environnements en intérieur. Pour ce faire, un système de localisation basé sur la méthode des signatures et adoptant le temps d'arrivée du signal de l'émetteur au récepteur comme signature, a été proposé. Le système présente deux architectures différentes, une première orientée privée utilisant la méthode d'accès multiple à répartition par code et une deuxième centralisée basée sur la méthode d'accès multiple à répartition dans le temps. Le système calcule la position de l'objet d'intérêt par la méthode de noyau. Une comparaison expérimentale entre le système à architecture orientée privée et un système de localisation sonore déjà existant et basé sur la méthode de trilatération, a permis de confirmer les résultats trouvés dans le cas de la localisation par ondes radiofréquences. Cependant, nos expérimentations étaient les premières à montrer l'effet de la réverbération sur les approches de la localisation acoustique. Dans un second lieu, un système de localisation basé sur la technique de retournement temporel, permettant une localisation simultanée de sources avec différentes précisions, a été testé par simulations en faisant varier le nombre de sources. Ce système a été ensuite validé par expérimentations. Dans la dernière partie de notre étude, nous nous sommes intéressés à la réduction de l'audibilité du signal utile à la localisation par recours à la psycho-acoustique. Un filtre défini à partir du seuil d'audition absolu a été appliqué au signal de localisation. Nos résultats ont montré une amélioration de la précision de localisation comparé au système de localisation sans modèle psycho-acoustique et ce grâce à l'utilisation d'un filtre adapté au modèle psycho-acoustique à la réception. Par ailleurs, l'écoute du signal après application du modèle psycho-acoustique a montré une réduction significative de son audibilité comparée à celle du signal original<br>The objective of this PhD is to propose a location solution that should be simple and robust to multipath that characterizes the indoor environments. First, a location system that exploits the time domain of channel parameters has been proposed. The system adopts the time of arrival of the path of maximum amplitude as a signature and estimates the target position through nonparametric kernel regression. The system was evaluated in experiments for two main configurations: a privacy-oriented configuration with code-division multiple-access operation and a centralized configuration with time-division multiple-access operation. A comparison between our privacy-oriented system and another acoustic location system based on code-division multiple-access operation and lateration method confirms the results found in radiofrequency-based localization. However, our experiments are the first to demonstrate the detrimental effect that reverberation has on acoustic localization approaches. Second, a location system based on time reversal technique and able to localize simultaneously sources with different location precisions has been tested through simulations for different values of the number of sources. The system has then been validated by experiments. Finally, we have been interested in reducing the audibility of the localization signal through psycho-acoustics. A filter, set from the absolute threshold of hearing, is then applied to the signal. Our results showed an improvement in precision, when compared to the location system without psychoacoustic model, thanks to the use of matched filter at the receiver. Moreover, we have noticed a significant reduction in the audibility of the filtered signal compared to that of the original signal
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Liu, Zhenzhang. "Odour source localization using multiple plume-tracing mobile robots." Thesis, 2010. http://hdl.handle.net/2440/65209.

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The recent increasing threat of chemical weapons technologies has highlighted the need for superior detection of hazardous emission sources. One promising area of technological development is odour source detection using plume-tracing mobile robots, which have the potential to detect emissions released by sources such as fire, toxic gas and explosives, without endangering human life during the detection process. Aims of this proposed research project are to investigate the use of multiple mobile robots to locate a dangerous odour source in realistic environments. The realistic environments presented in this study are two city-like environments and a complicated indoor building environment. These two kinds of environments are considered to have a very close relationship with human life. The research methods for this project include two aspects which are simulation and experimental validation. A simulation framework for this study was constructed using combined CFD and MATLAB techniques. The control strategies for plume-tracing mobile robots were developed and tested in the simulation framework. A prototype plume-tracing mobile robot was physically developed for the purpose of real world experimental validation. A series of experiments proved that the control strategies developed in the simulation framework was applicable to a real plume-tracing robot; on the other hand, the experiments also proved that the developed simulation framework was capable of reflecting real world plume-tracing scenarios. The contributions to the plume-tracing research field achieved in this research project are: (a) a novel simulation framework using combined CFD and MATLAB techniques for plume tracing research was developed and it is believed that the framework is helpful for the researchers in plume-tracing research field; (b) a small size plume-tracing mobile robot was fabricated. This small robot has the capability of tracing odour plumes in complicated wind-varying environments. The capability of this kind of robot is considered to be a new input into this research field. (c) a supervisory approach was proposed in this study and the developed supervisory programs coordinated multiple robots to locate an odour source in realistic environments effectively.<br>Thesis (Ph.D.) -- University of Adelaide, School of Mechanical Engineering, 2010
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Hsieh, Cheng-hsun, and 謝政勳. "Localization and Interpolation from Multiple Sound Sources." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/94201745818319962814.

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碩士<br>國立中正大學<br>電機工程所<br>95<br>Nowadays, many people have some or little degradations on their hearing capabilities no matter what their ages and lives are. In some cases, the medical treatment can successfully recover their hearing functions. However, in some cases, the hearing-aid devices embedded in ears are required to improve their hearing. These hearing-aid devices have the same purpose of amplifying signals and suppressing noises. In this project, the microphone array is developed to localize and enhance sound for supporting the hearing-aid device. To correctly locate sound position, the Time Domain Cross Correlation (TDDC) scheme is employed to obtain the delays among four microphones. Additionally, the configuration of four microphones is explored to understand the relationship between derived sound position’s deviations and position arrangement of four microphones. Based on the signals recorded from these four microphones, the theoretical foundation is constructed and used to obtain the sound position. After determining sound position, the delay and sum beamformer using the Wiener filter is utilized to suppress noises and to generate a good mono sound. This mono sound after noise suppression is used to generate two-channel 3D sound by using the Head Related Transform Function (HRTF). According to the derived sound location, the mono sound is convoluted with data from the HRTF library to yield two 3D sounds that can enable users perceive like the real sound event. In the practical applications, the human head usually rotates to track the interested event. Additionally, the sounds respective to the human ears change their incident directions. Hence, the proposed microphone array system is further to compensate the effect of head rotation to become a useful system. After one-year development, we successfully develop the microphone array system that can be widely used in the hearing-aid products to benefit human being.
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Ruan, Rong-Yu, and 阮榮裕. "An MAP Localization of Multiple Sources by Passive Sensor Array." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/29939669371564054335.

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CHENG, CHANG-CHUN, and 鄭昌俊. "Localization System for Multiple Sound Sources in Three-Dimensional Space." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/pg5598.

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碩士<br>國立臺北科技大學<br>電機工程系<br>107<br>Considering that the environment is noisy and multiple people are making sounds at the same time, it is still difficult for human ears and even today's voice assistants to identify the exact location or content of the sound. Therefore, this study hopes to estimate the horizontal angle, elevation angle and distance of multiple sound sources by means of the proposed three-dimensional multi-source localization system combined with microphone array technology. Then we can obtain the precise position of each sound source in space. In this thesis, a planar annular array of four microphones is used to construct a three-dimensional multi-source localization system, whereby the two-dimensional coordinate positioning algorithm can be estimated in real time. The partial algorithm for estimating the elevation angle is more complicated and takes a long processing time. Hence, offline estimation for elevation angle is currently used. In this paper, the limitation of single planar array for distance location is solved in the form of adding a dual array. In addition, the improved beamforming method is proposed to solve the three-dimensional positioning problem using planar arrays. The overall system architecture uses PCSF (Perpendicular Cross-Spectra Fusion), MP (Matching Pursuit), Triangulation and Beamforming as the core algorithms to estimate multi-source coordinates in three-dimensional space. Under the premise of Single-Source Zone, this paper converts audio into Time-Frequency Domain data, and then uses PCSF and MP algorithms to estimate multi-source horizontal angle. The next step is to obtain the two-dimensional sound source coordinates using triangulation method. Finally, we estimate the multi-source elevation angles with the improved beamforming method to determine the multi-source three-dimensional coordinates.
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Book chapters on the topic "Multiple Odor Sources Localization"

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Lochmatter, Thomas, and Alcherio Martinoli. "Understanding the Potential Impact of Multiple Robots in Odor Source Localization." In Distributed Autonomous Robotic Systems 8. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00644-9_21.

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Yi, Rongxue, Shuai Wang, Xiang Guo, and Bo Wang. "Flow Regime-Particle Swarm Optimization (FR-MSPSO) Algorithm Based on Multiple Strategies for Odor Source Localization." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2228-3_18.

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Dey, Nilanjan, and Amira S. Ashour. "Sources Localization and DOAE Techniques of Moving Multiple Sources." In SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73059-2_3.

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Qian, Rui, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, and Weiyao Lin. "Multiple Sound Sources Localization from Coarse to Fine." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58565-5_18.

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Kotus, Józef. "Multiple Sound Sources Localization in Real Time Using Acoustic Vector Sensor." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30721-8_17.

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Ma, Jie-Ming, Bin Wang, Yang Cao, and Li-Ming Zhang. "Multiple Signal Classification Based on Chaos Optimization Algorithm for MEG Sources Localization." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760191_88.

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Dey, Nilanjan, and Amira S. Ashour. "Applied Examples and Applications of Localization and Tracking Problem of Multiple Speech Sources." In SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-73059-2_4.

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Ito, Nobutaka, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, and Shigeki Sagayama. "Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays." In Latent Variable Analysis and Signal Separation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_11.

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Jeong, Woorim, and Chun Kee Chung. "Use of Multiple Frequency Bands in Magnetoencephalography for Characterization of Epilepsy." In Fifty Years of Magnetoencephalography. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190935689.003.0011.

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For clinical applications in epilepsy, magnetoencephalography (MEG) has been mostly used to localize sources of interictal spike activity using the single equivalent current dipole (ECD) method. Thanks to the advancement of analytical methodology for MEG signals, multiple frequency band signals, especially fast oscillations (&gt;30 Hz), are now being used for localization of ictal and interictal epileptic activity in addition to the ECD method. Moreover, connectivity and network analysis utilizing multiple frequency band MEG signals have recently been adopted in the field of epilepsy. This chapter provides an overview of the clinical applications of multiple frequency band signal analysis in epilepsy for the purpose of localization of epileptiform activity sources and assessment of functional connectivity.
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Ezekeil Bwadi, Benjamin, Mohammed Bakoji Yusuf, Ibrahim Abdullahi, Clement Yakubu Giwa, and Grace Audu. "Analysis of Ground Water from Selected Sources in Jalingo Metropolis, Nigeria." In Water Quality - Factors and Impacts [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99082.

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Water is very significant in the development of a stable community, but many societies are confronted with the challenges of poor wastes management system with indiscriminate waste disposal and bad land practices, which easily pollute water sources and consequently degrade water quality. This study was to analyze the physicochemical properties of ground water from multiple point sources in Jalingo, Taraba state of Nigeria. Water samples were collected from twenty seven (27) sites from the study area during the raining and dry seasons. The analysis was carried out to determining the physico-chemical properties of the ground water and comparing with the World Health Organization (WHO) standard for drinking water. The physicochemical properties of ground water analyzed include; odor, taste, temperature and electrical conductivity were tested in the field using water meter tester. Whereas pH, total dissolved solids, alkalinity, hardness, salinity, iron, manganese, fluoride, nitrate, nitrite, chloride, sulphate and dissolved oxygen were analyzed in the laboratory using Wagtech potable water testing equipment. The physical properties of water analyzed were temperature, odor, taste, and turbidity. Whereas the chemical properties of water analyzed were pH, electrical conductivity (EC), total dissolved solids (TDS), alkalinity, hardness, salinity, iron (Fe), manganese (Mn), fluoride (F−), nitrate (NO3−), nitrite (NO2−), Chloride (Cl−), sulphate (SO42−), dissolved oxygen (DO).The result shows the range of the mean values of the temperature(26.7–33.1) oC, p H(6.5–8.9), Fe (0.01–0.08 mg/L), NO3−(0.01–38.5 mg/l), NO2−(0.01–0.09 mg/l), Mn (0.01–0.17 mg/l), F(0.01–0.82 mg/l), alkalinity(39-204 mg/l), salinity (42-508 mg/l), SO4(14-93 mg/l), total dissolved solids (6–637) mg/l, turbidity(0.4–10.6 mg/l), hardness(48-187 mg/l), and fecal coliforms(1–4)fcu/100mi, dissolved oxygen(1.1–6.87)mg/l, EC(10.99–1066)ohm/cm, Cl (10-320 mg/l). All except alkalinity and hardness are within the WHO permissible standards of quality drinking water. The highest alkalinity (204 mg/l), hardness (187 mg/l) and low dissolved oxygen (6.87 mg/l) attributed to the high concentration of dissolved salts and basic cations in the water. The methodology applied in the study was effective in analyzing the physicochemical properties of water in the study area. Therefore, it was recommended that there should be frequent water source testing by stakeholder in water resources with the view to treating the water. Policy maker should also enforce the regulation of the use of chemical fertilizers, agro-chemicals and the indiscriminate waste disposal.
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Conference papers on the topic "Multiple Odor Sources Localization"

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Ju, Jianping, Jianying Tang, Xin Zhou, and Mingyu Lin. "Research on Outdoor Localization of Robot Integrating Multiple Information Sources." In 2025 9th International Conference on Robotics, Control and Automation (ICRCA). IEEE, 2025. https://doi.org/10.1109/icrca64997.2025.11011093.

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Erić, Miljko, Nenad Vukmirović, and Petar Djurić. "System Aspects of Direct Localization of Multiple Acoustic Sources Using Distributed Sensor Networks." In 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). IEEE, 2024. http://dx.doi.org/10.1109/icetran62308.2024.10741964.

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Gast, Arad, Luc Le Magoarou, and Nir Shlezinger. "DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888295.

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Werner, Michal, Tomáš Báča, Petr Štibinger, et al. "Autonomous localization of multiple ionizing radiation sources using miniature single-layer Compton cameras onboard a group of micro aerial vehicles." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802808.

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Wu, Yuqing, and Zhipu Wang. "An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization." In 13th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010231707080715.

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Cabrita, 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.

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Cao, Meng-Li, Qing-Hao Meng, Xing-Wang Wang, Bing Luo, Ming Zeng, and Wei Li. "Localization of multiple odor sources via selective olfaction and adapted ant colony optimization algorithm." In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2013. http://dx.doi.org/10.1109/robio.2013.6739631.

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Lu, Qiang, Yang He, and Jian Wang. "Localization of unknown odor source based on Shannon's entropy using multiple mobile robots." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7048904.

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Yongjian Chen, Masatake Akutagawa, Masato Katayama, Qinyu Zhang, and Yohsuke Kinouchi. "ICA based multiple brain sources localization." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649552.

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Muezzinoglu, Mehmet K., Alexander Vergara, Nima Ghods, Nikolai F. Rulkov, and Ramon Huerta. "Localization of remote odor sources by metal-oxide gas sensors in turbulent plumes." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5691003.

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Reports on the topic "Multiple Odor Sources Localization"

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Frazer, L. N., and Eva-Marie Nosal. Passive Localization of Multiple Sources Using Widely-Spaced Arrays With Application to Marine Mammals. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada613674.

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Frazer, L. N., and Eva-Marie Nosal. Passive Localization of Multiple Sources Using Widely-Spaced Arrays with Application to Marine Mammals. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada573282.

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Carter, Jimmy, Melissa Pham, Richard Masarro, Jarrod Edwards, John Anderson, and Robert Fischer. Terrestrial vision-based localization using synthetic horizons. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49217.

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Vision-based localization could improve navigation and routing solutions in GPS-denied environments. In this study, data from a Carnegie Robotics MultiSense S7 stereo camera were matched to a synthetic horizon derived from foundation sources using novel two-dimensional correlation techniques. Testing was conducted at multiple observation locations over known ground control points (GCPs) at the US Army Engineer Research and Development Center (ERDC), Geospatial Research Laboratory (GRL), Corbin Research Facility. Testing was conducted at several different observational azimuths for these locations to account for the many possible viewing angles in a scene. Multiple observational azimuths were also tested together to see how the amount of viewing angles affected results. These initial tests were conducted to help future efforts testing the S7 camera under more realistic conditions, in different environments, and while expanding the collection and processing methodologies to additional sensor systems.
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