The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform
Qiming Li - One of the best experts on this subject based on the ideXlab platform.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation. © 2009 Elsevier B.V. All rights reserved.
Sebastien Roch - One of the best experts on this subject based on the ideXlab platform.
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Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method
IEEE ACM Transactions on Computational Biology and Bioinformatics, 2015Co-Authors: Gautam Dasarathy, Robert Nowak, Sebastien RochAbstract:We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic Analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full Data-Requirement Analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel reconstruction algorithm that provably improves over all previous methods in a regime of interest.
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New sample complexity bounds for phylogenetic inference from multiple loci
2014 IEEE International Symposium on Information Theory, 2014Co-Authors: Gautam Dasarathy, Robert Nowak, Sebastien RochAbstract:We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It has been known however that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic Analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full Data-Requirement Analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel algorithm that provably improves over all previous methods in a regime of interest.
Weiwei Wu - One of the best experts on this subject based on the ideXlab platform.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation. © 2009 Elsevier B.V. All rights reserved.
Gautam Dasarathy - One of the best experts on this subject based on the ideXlab platform.
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Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method
IEEE ACM Transactions on Computational Biology and Bioinformatics, 2015Co-Authors: Gautam Dasarathy, Robert Nowak, Sebastien RochAbstract:We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It is known that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic Analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full Data-Requirement Analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel reconstruction algorithm that provably improves over all previous methods in a regime of interest.
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New sample complexity bounds for phylogenetic inference from multiple loci
2014 IEEE International Symposium on Information Theory, 2014Co-Authors: Gautam Dasarathy, Robert Nowak, Sebastien RochAbstract:We consider the problem of estimating the evolutionary history of a set of species (phylogeny or species tree) from several genes. It has been known however that the evolutionary history of individual genes (gene trees) might be topologically distinct from each other and from the underlying species tree, possibly confounding phylogenetic Analysis. A further complication in practice is that one has to estimate gene trees from molecular sequences of finite length. We provide the first full Data-Requirement Analysis of a species tree reconstruction method that takes into account estimation errors at the gene level. Under that criterion, we also devise a novel algorithm that provably improves over all previous methods in a regime of interest.
Huanjia Yang - One of the best experts on this subject based on the ideXlab platform.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation.
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Towards an autonomous real-time tracking system of near-miss accidents on construction sites
Automation in Construction, 2010Co-Authors: Weiwei Wu, Huanjia Yang, David A S Chew, Alistair G.f. Gibb, Shuang-hua Yang, Qiming LiAbstract:It has been widely accepted that reported accidents on construction sites are just the tip of the iceberg representing the safety challenge because a very large number of near-miss accidents exist and constitute the portion of under-water surface. Undoubtedly, near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possible to significantly improve the safety performance by learning from previous near-miss accidents and tracking near-miss accidents in real time leading to taking appropriate action before a potential up-coming accident. However, little research has been done in both autonomous Data Requirement Analysis of near-miss accidents and technological solutions to track near-miss accidents based on real-time information on construction sites. The objective of this paper is to analyze and verify the autonomous information Requirement of near-miss accidents and investigate the feasibility and performance of using a Zigbee RFID sensor network to fulfil these Requirements. First, the autonomous Data Requirement of near-miss accidents is systematically analyzed based on typical historical accident cases. Then, considering the features of construction sites and characteristics of near-miss accidents, an autonomous real-time tracking system of near-miss accidents (ARTTS-NMA) on construction sites is proposed, which employs ultrasonic for outdoor and indoor real-time location tracking, adopts sensors for environment surveillance, RFID for access control as well as storage of safety information about workers, equipment and materials, and wireless sensor networks for Data transmission. All system components are integrated into a Zigbee RFID sensor network architecture that features a relatively low cost and fast implementation with a pure wireless network backbone. The demonstration system based on the hybrid RFID sensor network architecture is fully working in a laboratory environment and for safety reasons we have chosen to evaluate it in a warehouse, which is considered as the main scenario of a construction site containing both multi-storey structure and open area, to evaluate the complexity of implementation. © 2009 Elsevier B.V. All rights reserved.
