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This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28–30, 2022, in Montbéliard, France. The contributions are covering a broad scope of topics within distributed robotics including mobile sensor networks, unmanned aerial vehicles, multi-agent systems, algorithms for multi-robot systems, modular robots, swarm robotics, and reinforcement learning or deep learning applied to multi-robot systems.
Autonomous robots. --- Control engineering. --- Robotics. --- Automation. --- Computational intelligence. --- Control, Robotics, Automation. --- Computational Intelligence. --- Automatic control.
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Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk. The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.
Blind source separation. --- Mobile communication systems. --- Signal processing. --- Speech processing systems. --- Blind source separation --- Speech processing systems --- Mobile communication systems --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Telecommunications --- Applied Physics --- Vehicles --- Vehicular communication systems --- Blind signal separation --- BSS (Blind source separation) --- Communication systems --- Telecommunication. --- Acoustics. --- Computer engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Electrical Engineering. --- Computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Design and construction --- Radio --- Wireless communication systems --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Source separation (Signal processing) --- Image processing. --- Electrical engineering. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering
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Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk. The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.
Vibrations --- Electrical engineering --- Applied physical engineering --- Mass communications --- Computer. Automation --- geluidsleer --- akoestiek --- beeldverwerking --- elektrotechniek --- communicatietechnologie --- signaalverwerking
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We design a collaborative e-learning system for stable operation in an unstable environment of developing countries. The proposed system is used for providing a collaborative learning among local schools of rural area in Nepal. The stable operation of the system is realized by the redundant robustness in three different levels: network arrangement, energy management, and replicative database. In this paper, we present an overall design of the system and its use case. Then, methods adopted for achieving the redundancy in each level are described.
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Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk. The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.
Vibrations --- Electrical engineering --- Applied physical engineering --- Mass communications --- Computer. Automation --- geluidsleer --- akoestiek --- beeldverwerking --- elektrotechniek --- communicatietechnologie --- signaalverwerking
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This book constitutes the refereed proceedings of the 7th International Conference on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in May 2012. The 9 revised full papers and 19 short papers were carefully revised and selected from 55 submissions. They are organized in topical sections on cloud computing, grid and service computing, green computing, mobile and pervasive computing, scheduling and performance, and trust and security. Also included are 4 papers presented at the 2012 International Workshop on Mobile Cloud and Ubiquitous Computing (Mobi-Cloud 2012) held in conjunction with GPC 2012.
Engineering & Applied Sciences --- Computer Science --- Computational grids (Computer systems) --- Ubiquitous computing --- Computer science. --- Computer communication systems. --- Computer programming. --- Software engineering. --- Operating systems (Computers). --- Algorithms. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Computer Communication Networks. --- Information Systems Applications (incl. Internet). --- Software Engineering. --- Operating Systems. --- Programming Techniques. --- Algorism --- Algebra --- Arithmetic --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Computer software engineering --- Engineering --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Informatics --- Science --- Foundations --- Operating systems --- Programming --- Distributed processing --- Computer software. --- Software, Computer --- Computer systems --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer networks. --- Computer and Information Systems Applications.
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This book constitutes the refereed proceedings of the 7th International Conference on Grid and Pervasive Computing, GPC 2012, held in Hong Kong, China, in May 2012. The 9 revised full papers and 19 short papers were carefully revised and selected from 55 submissions. They are organized in topical sections on cloud computing, grid and service computing, green computing, mobile and pervasive computing, scheduling and performance, and trust and security. Also included are 4 papers presented at the 2012 International Workshop on Mobile Cloud and Ubiquitous Computing (Mobi-Cloud 2012) held in conjunction with GPC 2012.
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