The Experts below are selected from a list of 237 Experts worldwide ranked by ideXlab platform
Lizhong Xu - One of the best experts on this subject based on the ideXlab platform.
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a leach head Expected Frequency appraisal algorithm for water environment monitoring networks
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks *
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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Analyzing cluster-head selection mechanisms and improving the LEACH
2011 International Conference on Electronics Communications and Control (ICECC), 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-regime monitoring system is a wireless-sensor-network (WSN) based real-time system. It often collects, transmits, analyzes and processes water regime parameters in large areas. Since the cluster-head selection mechanism affects directly on the energy consumption and network lifetime, both the cluster selection mechanism and the energy saving strategy play an important role on the design of network routing protocols. Current routing algorithms usually have two shortages: unbalanced energy loads and short network lifetime. They often could not be used directly in water regime monitoring systems. In this paper, based on the idea of cluster-head Expected Frequency appraisal, a LEACH-HEFA (LEACH-Head Expected Frequency Appraisal) algorithm was proposed for improving the performances. Simulation results clearly show that LEACH-HEFA algorithm can balance the energy consumption of nodes in the WSN, rationalize the clustering process and prolong the network lifetime effectively. It indicates that this proposed algorithm is suitable to water regime monitoring systems.
Clare L V Allen - One of the best experts on this subject based on the ideXlab platform.
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Expected Frequency of use and proficiency of core surgical skills in entry level veterinary practice 2009 acvs core surgical skills diplomate survey results
Veterinary Surgery, 2012Co-Authors: Daniel D Smeak, Lawrence N Hill, Linda K Lord, Clare L V AllenAbstract:OBJECTIVES: ACVS Diplomates were surveyed to identify a complete list of core surgical skills, determine the Expected Frequency of use of these skills, and ascertain the level of skills proficiency Expected of entry-level practicing veterinarians. STUDY DESIGN: Internet-based survey. SAMPLE POPULATION: Randomly chosen ACVS Diplomates (n = 750). METHODS: Rating scale items were used to construct the main portion of the survey with 26 skills that were scored by participants based on rankings of proficiency Expected of entry-level veterinarians, as well as Expected Frequency of use of these skills. Additional demographic questions were included to gather information regarding gender, practice type, year of veterinary school, year of ACVS membership, job description, primary surgical discipline, practice location, average number of procedures performed on a weekly basis, and number of new graduates mentored in the last 5 years. RESULTS: Of 337 Diplomates (44.9%) who responded to the survey, >60% Expected entry-level graduates to have good skills with minimal supervision or complete skills for 21 of the 26 skills categories listed. More than 60% of respondents ranked 7 skills with a lower Frequency score (seldom or occasionally use). Orthopedic instrument handling and fixation skills as well as electrosurgical and laser skills received some of the lowest Expected proficiency and Frequency rankings. No additional skills categories were identified in the open-ended survey questions. CONCLUSIONS: A complete list of core surgical skills was identified. There was broad consensus between boarded surgeons irrespective of their practice type, experience, or discipline for ranked proficiency and Frequency scores among the core surgical skills Expected of entry-level veterinarians.
Vetmb Clare L V Allen - One of the best experts on this subject based on the ideXlab platform.
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Expected Frequency of use and proficiency of core surgical skills in entry level veterinary practice 2009 acvs core surgical skills diplomate survey results
Veterinary Surgery, 2012Co-Authors: Linda Lord Dvm K Ms, Vetmb Clare L V AllenAbstract:Objectives ACVS Diplomates were surveyed to identify a complete list of core surgical skills, determine the Expected Frequency of use of these skills, and ascertain the level of skills proficiency Expected of entry-level practicing veterinarians. Study Design Internet-based survey. Sample Population Randomly chosen ACVS Diplomates (n = 750). Methods Rating scale items were used to construct the main portion of the survey with 26 skills that were scored by participants based on rankings of proficiency Expected of entry-level veterinarians, as well as Expected Frequency of use of these skills. Additional demographic questions were included to gather information regarding gender, practice type, year of veterinary school, year of ACVS membership, job description, primary surgical discipline, practice location, average number of procedures performed on a weekly basis, and number of new graduates mentored in the last 5 years. Results Of 337 Diplomates (44.9%) who responded to the survey, >60% Expected entry-level graduates to have good skills with minimal supervision or complete skills for 21 of the 26 skills categories listed. More than 60% of respondents ranked 7 skills with a lower Frequency score (seldom or occasionally use). Orthopedic instrument handling and fixation skills as well as electrosurgical and laser skills received some of the lowest Expected proficiency and Frequency rankings. No additional skills categories were identified in the open-ended survey questions. Conclusions A complete list of core surgical skills was identified. There was broad consensus between boarded surgeons irrespective of their practice type, experience, or discipline for ranked proficiency and Frequency scores among the core surgical skills Expected of entry-level veterinarians.
Chenmin Li - One of the best experts on this subject based on the ideXlab platform.
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a leach head Expected Frequency appraisal algorithm for water environment monitoring networks
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks *
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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Analyzing cluster-head selection mechanisms and improving the LEACH
2011 International Conference on Electronics Communications and Control (ICECC), 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-regime monitoring system is a wireless-sensor-network (WSN) based real-time system. It often collects, transmits, analyzes and processes water regime parameters in large areas. Since the cluster-head selection mechanism affects directly on the energy consumption and network lifetime, both the cluster selection mechanism and the energy saving strategy play an important role on the design of network routing protocols. Current routing algorithms usually have two shortages: unbalanced energy loads and short network lifetime. They often could not be used directly in water regime monitoring systems. In this paper, based on the idea of cluster-head Expected Frequency appraisal, a LEACH-HEFA (LEACH-Head Expected Frequency Appraisal) algorithm was proposed for improving the performances. Simulation results clearly show that LEACH-HEFA algorithm can balance the energy consumption of nodes in the WSN, rationalize the clustering process and prolong the network lifetime effectively. It indicates that this proposed algorithm is suitable to water regime monitoring systems.
Zhen Zhang - One of the best experts on this subject based on the ideXlab platform.
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a leach head Expected Frequency appraisal algorithm for water environment monitoring networks
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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A LEACH-Head Expected Frequency Appraisal Algorithm for Water-Environment Monitoring Networks *
Int'l J. of Communications Network and System Sciences, 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-environment monitoring network (WMN) is a wireless sensor network based real-time system, which collects, transmits, analyzes and processes water-environment parameters in large area. Both cluster selection mechanisms and energy saving strategies play an important role on designing network routing protocols for the WMN. Since those existing routing algorithms can not be used directly in the WMN, we thus propose an improved version of LEACH, a LEACH-Head Expected Frequency Appraisal (LEACH-HEFA) algorithm, for the WMN in this paper. Simulation results show that the LEACH-HEFA can balance the energy consumption of nodes, rationalize the clustering process and prolong the network lifetime significantly in the WMN. It indicates that the LEACH-HEFA is suitable to the WMN.
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Analyzing cluster-head selection mechanisms and improving the LEACH
2011 International Conference on Electronics Communications and Control (ICECC), 2011Co-Authors: Chenmin Li, Jingyu Wu, Zhen Zhang, Lizhong XuAbstract:Water-regime monitoring system is a wireless-sensor-network (WSN) based real-time system. It often collects, transmits, analyzes and processes water regime parameters in large areas. Since the cluster-head selection mechanism affects directly on the energy consumption and network lifetime, both the cluster selection mechanism and the energy saving strategy play an important role on the design of network routing protocols. Current routing algorithms usually have two shortages: unbalanced energy loads and short network lifetime. They often could not be used directly in water regime monitoring systems. In this paper, based on the idea of cluster-head Expected Frequency appraisal, a LEACH-HEFA (LEACH-Head Expected Frequency Appraisal) algorithm was proposed for improving the performances. Simulation results clearly show that LEACH-HEFA algorithm can balance the energy consumption of nodes in the WSN, rationalize the clustering process and prolong the network lifetime effectively. It indicates that this proposed algorithm is suitable to water regime monitoring systems.
