As a component of Wireless Sensor Network(WSN),Visual-WSN(VWSN)utilizes cameras to obtain relevant data including visual recordings and static images.Data from the camera is sent to energy efficient sink to extract ke...As a component of Wireless Sensor Network(WSN),Visual-WSN(VWSN)utilizes cameras to obtain relevant data including visual recordings and static images.Data from the camera is sent to energy efficient sink to extract key-information out of it.VWSN applications range from health care monitoring to military surveillance.In a network with VWSN,there are multiple challenges to move high volume data from a source location to a target and the key challenges include energy,memory and I/O resources.In this case,Mobile Sinks(MS)can be employed for data collection which not only collects information from particular chosen nodes called Cluster Head(CH),it also collects data from nearby nodes as well.The innovation of our work is to intelligently decide on a particular node as CH whose selection criteria would directly have an impact on QoS parameters of the system.However,making an appropriate choice during CH selection is a daunting task as the dynamic and mobile nature of MSs has to be taken into account.We propose Genetic Machine Learning based Fuzzy system for clustering which has the potential to simulate human cognitive behavior to observe,learn and understand things from manual perspective.Proposed architecture is designed based on Mamdani’s fuzzy model.Following parameters are derived based on the model residual energy,node centrality,distance between the sink and current position,node centrality,node density,node history,and mobility of sink as input variables for decision making in CH selection.The inputs received have a direct impact on the Fuzzy logic rules mechanism which in turn affects the accuracy of VWSN.The proposed work creates a mechanism to learn the fuzzy rules using Genetic Algorithm(GA)and to optimize the fuzzy rules base in order to eliminate irrelevant and repetitive rules.Genetic algorithmbased machine learning optimizes the interpretability aspect of fuzzy system.Simulation results are obtained using MATLAB.The result shows that the classification accuracy increase along with minimizing fuzzy rules count and thus it can be inferred that the suggested methodology has a better protracted lifetime in contrast with Low Energy Adaptive Clustering Hierarchy(LEACH)and LEACHExpected Residual Energy(LEACH-ERE).展开更多
Mobile location-based services(MLBS)refer to services around geographic location data.Mobile terminals use wireless communication networks(or satellite positioning systems)to obtain users’geographic location coordina...Mobile location-based services(MLBS)refer to services around geographic location data.Mobile terminals use wireless communication networks(or satellite positioning systems)to obtain users’geographic location coordinate information based on spatial databases and integrate with other information to provide users with required location-related services.The development of systems based on MLBS has significance and practical value.In this paper a visualization management information system for personnel in major events based on microservices,namely MEPMIS,is designed and implemented by using MLBS.The system consists of a server and a client app,and it has some functions including map search and query,personnel positioning and scheduling,location management,messaging,and location service.Managers of the events can quickly search and locate the staff on the specific area of the map in real-time,and make broadcasting messages to the staff,and manage the staff.The client app is developed on the Android system,by which staff users can send the positions information to the server timely.The client users can search fuzzily near their peers and list their locations,and also call near peers through sending messages or query the history record of staff locations.In the design of the system,several new proposed techniques,including visual annotation method for overlapping locations,correcting trajectory drift algorithm,microservices-based overall system architecture methodology and other new techniques,which are applied to the implementation of the system.Also,HTML5,JQuery,MLBS APIs(Application Program Interfaces)related programming techniques have been used and combined with loading Ajax asynchronously and Json data encapsulation,map marker optimization techniques,that can improve the positioning accuracy and the performance of the system.The developed system with practical functions can enhance the efficiencies of the organization and management of major events.展开更多
目的基于CiteSpace可视化知识图谱,分析国内外价值医疗的研究现状,为我国价值医疗研究提供参考和方向。方法应用可视化软件CiteSpace 6.2.R7在中国知网和Web of Science数据库中以关键词“价值医疗”及“value-based healthcare”检索2...目的基于CiteSpace可视化知识图谱,分析国内外价值医疗的研究现状,为我国价值医疗研究提供参考和方向。方法应用可视化软件CiteSpace 6.2.R7在中国知网和Web of Science数据库中以关键词“价值医疗”及“value-based healthcare”检索2009—2023年的文献,从发表量、发表国家/地区、发表机构和关键词等方面进行分析。结果共纳入中文文献1627篇,英文文献1715篇,英文文献发文量持续增长、中文文献较稳定;发文机构以高校为主;中文文献研究热点集中在价值、医疗设备、应用价值等,英文文献研究热点为影响、质量、管理等。结论我国价值医疗研究处于持续发展阶段,存在系统性不强、缺乏多学科交叉合作的问题。应结合国外经验,多维度开展价值医疗研究,探索出一套适合我国国情的价值医疗模式。展开更多
作为推动构建人类命运共同体的实践载体,“一带一路”倡议从愿景走向现实,擎画了全球发展的蓝图。借助信息可视化软件CiteSpace,文章以Web of Science核心数据库收录的“一带一路”研究领域的583篇论文作为数据来源,绘制国际“一带一路...作为推动构建人类命运共同体的实践载体,“一带一路”倡议从愿景走向现实,擎画了全球发展的蓝图。借助信息可视化软件CiteSpace,文章以Web of Science核心数据库收录的“一带一路”研究领域的583篇论文作为数据来源,绘制国际“一带一路”研究的知识图谱。研究发现,该领域研究成果丰硕,研究队伍庞大,研究方法多样。“一带一路”倡议的内涵、动因和影响构成了该主题的知识基础。研究热点集中于“一带一路”与经济发展、“一带一路”与全球治理新模式、“一带一路”的文化融合与规范认同等维度,一定程度呼应了“一带一路”建设的“五通”目标。绿色“一带一路”等成为研究的前沿课题。进一步深化“一带一路”研究需要加强学术对话,阐释“一带一路”建设蕴含的中国发展理念,加强国际传播能力建设以提升我国的国际话语权。展开更多
为了克服人工计算方法耗时费工、计算量大、计算精度低的缺陷,实现屏蔽泵轴向力计算的快捷性和简便性,基于Visual C++ 6.0软件平台,考虑影响屏蔽泵轴向力的综合因素,编写出屏蔽泵轴向力计算程序,为屏蔽泵轴向力计算提供了便捷的工具.本...为了克服人工计算方法耗时费工、计算量大、计算精度低的缺陷,实现屏蔽泵轴向力计算的快捷性和简便性,基于Visual C++ 6.0软件平台,考虑影响屏蔽泵轴向力的综合因素,编写出屏蔽泵轴向力计算程序,为屏蔽泵轴向力计算提供了便捷的工具.本程序采用模块化的结构体系,每个模块对应界面,能灵活地实现人机对话,界面清晰,可以方便地进行参数优化设计计算.只要输入相应的设计参数,程序会自动显示出轴向力平衡的计算结果,简单快捷,与人工计算相比,大大提高了工作效率.通过真机轴向力实测与计算结果比对,计算结果与实验结果的相对误差在10%以内,证实程序计算结果具有良好的计算精度,实用性强.展开更多
基金Dr.Deepak Dahiya would like to thank Deanship of Scientific Research at Majmaah University for supporting his work under Project No.(R-2022-96)。
文摘As a component of Wireless Sensor Network(WSN),Visual-WSN(VWSN)utilizes cameras to obtain relevant data including visual recordings and static images.Data from the camera is sent to energy efficient sink to extract key-information out of it.VWSN applications range from health care monitoring to military surveillance.In a network with VWSN,there are multiple challenges to move high volume data from a source location to a target and the key challenges include energy,memory and I/O resources.In this case,Mobile Sinks(MS)can be employed for data collection which not only collects information from particular chosen nodes called Cluster Head(CH),it also collects data from nearby nodes as well.The innovation of our work is to intelligently decide on a particular node as CH whose selection criteria would directly have an impact on QoS parameters of the system.However,making an appropriate choice during CH selection is a daunting task as the dynamic and mobile nature of MSs has to be taken into account.We propose Genetic Machine Learning based Fuzzy system for clustering which has the potential to simulate human cognitive behavior to observe,learn and understand things from manual perspective.Proposed architecture is designed based on Mamdani’s fuzzy model.Following parameters are derived based on the model residual energy,node centrality,distance between the sink and current position,node centrality,node density,node history,and mobility of sink as input variables for decision making in CH selection.The inputs received have a direct impact on the Fuzzy logic rules mechanism which in turn affects the accuracy of VWSN.The proposed work creates a mechanism to learn the fuzzy rules using Genetic Algorithm(GA)and to optimize the fuzzy rules base in order to eliminate irrelevant and repetitive rules.Genetic algorithmbased machine learning optimizes the interpretability aspect of fuzzy system.Simulation results are obtained using MATLAB.The result shows that the classification accuracy increase along with minimizing fuzzy rules count and thus it can be inferred that the suggested methodology has a better protracted lifetime in contrast with Low Energy Adaptive Clustering Hierarchy(LEACH)and LEACHExpected Residual Energy(LEACH-ERE).
基金The work is supported by the Tianjin Planning Project of Philosophy and Social Science under Grant No.TJGL20-018 for Dr.L.J.Hou of Tianjin Normal University,China。
文摘Mobile location-based services(MLBS)refer to services around geographic location data.Mobile terminals use wireless communication networks(or satellite positioning systems)to obtain users’geographic location coordinate information based on spatial databases and integrate with other information to provide users with required location-related services.The development of systems based on MLBS has significance and practical value.In this paper a visualization management information system for personnel in major events based on microservices,namely MEPMIS,is designed and implemented by using MLBS.The system consists of a server and a client app,and it has some functions including map search and query,personnel positioning and scheduling,location management,messaging,and location service.Managers of the events can quickly search and locate the staff on the specific area of the map in real-time,and make broadcasting messages to the staff,and manage the staff.The client app is developed on the Android system,by which staff users can send the positions information to the server timely.The client users can search fuzzily near their peers and list their locations,and also call near peers through sending messages or query the history record of staff locations.In the design of the system,several new proposed techniques,including visual annotation method for overlapping locations,correcting trajectory drift algorithm,microservices-based overall system architecture methodology and other new techniques,which are applied to the implementation of the system.Also,HTML5,JQuery,MLBS APIs(Application Program Interfaces)related programming techniques have been used and combined with loading Ajax asynchronously and Json data encapsulation,map marker optimization techniques,that can improve the positioning accuracy and the performance of the system.The developed system with practical functions can enhance the efficiencies of the organization and management of major events.
文摘目的基于CiteSpace可视化知识图谱,分析国内外价值医疗的研究现状,为我国价值医疗研究提供参考和方向。方法应用可视化软件CiteSpace 6.2.R7在中国知网和Web of Science数据库中以关键词“价值医疗”及“value-based healthcare”检索2009—2023年的文献,从发表量、发表国家/地区、发表机构和关键词等方面进行分析。结果共纳入中文文献1627篇,英文文献1715篇,英文文献发文量持续增长、中文文献较稳定;发文机构以高校为主;中文文献研究热点集中在价值、医疗设备、应用价值等,英文文献研究热点为影响、质量、管理等。结论我国价值医疗研究处于持续发展阶段,存在系统性不强、缺乏多学科交叉合作的问题。应结合国外经验,多维度开展价值医疗研究,探索出一套适合我国国情的价值医疗模式。
文摘作为推动构建人类命运共同体的实践载体,“一带一路”倡议从愿景走向现实,擎画了全球发展的蓝图。借助信息可视化软件CiteSpace,文章以Web of Science核心数据库收录的“一带一路”研究领域的583篇论文作为数据来源,绘制国际“一带一路”研究的知识图谱。研究发现,该领域研究成果丰硕,研究队伍庞大,研究方法多样。“一带一路”倡议的内涵、动因和影响构成了该主题的知识基础。研究热点集中于“一带一路”与经济发展、“一带一路”与全球治理新模式、“一带一路”的文化融合与规范认同等维度,一定程度呼应了“一带一路”建设的“五通”目标。绿色“一带一路”等成为研究的前沿课题。进一步深化“一带一路”研究需要加强学术对话,阐释“一带一路”建设蕴含的中国发展理念,加强国际传播能力建设以提升我国的国际话语权。
文摘为了克服人工计算方法耗时费工、计算量大、计算精度低的缺陷,实现屏蔽泵轴向力计算的快捷性和简便性,基于Visual C++ 6.0软件平台,考虑影响屏蔽泵轴向力的综合因素,编写出屏蔽泵轴向力计算程序,为屏蔽泵轴向力计算提供了便捷的工具.本程序采用模块化的结构体系,每个模块对应界面,能灵活地实现人机对话,界面清晰,可以方便地进行参数优化设计计算.只要输入相应的设计参数,程序会自动显示出轴向力平衡的计算结果,简单快捷,与人工计算相比,大大提高了工作效率.通过真机轴向力实测与计算结果比对,计算结果与实验结果的相对误差在10%以内,证实程序计算结果具有良好的计算精度,实用性强.
