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
We present our approach for constructing a federated searching system for Japanese humanities digital libraries using automatic metadata mapping.We discuss some achievements in the ongoing research to construct a fede...We present our approach for constructing a federated searching system for Japanese humanities digital libraries using automatic metadata mapping.We discuss some achievements in the ongoing research to construct a federated searching system. The goals of this system are(1) to perform metadata mapping automatically for Japanese heterogeneous humanities digital libraries and(2) to let users access multiple humanities digital libraries by using only one query input.The proposed automatic metadata mapping method produced the average mapping precision of 94.9%.We also address the metadata-related challenges facing Japanese humanities databases.展开更多
We consider the problem of finding map regions that best match query keywords. This region search problem can be applied in many practical scenarios such as shopping recommendation, searching for tourist attractions, ...We consider the problem of finding map regions that best match query keywords. This region search problem can be applied in many practical scenarios such as shopping recommendation, searching for tourist attractions, and collision region detection for wireless sensor networks. While conventional map search retrieves isolate locations in a map, users frequently attempt to find regions of interest instead, e.g., detecting regions having too many wireless sensors to avoid collision, or finding shopping areas featuring various merchandise or tourist attractions of different styles. Finding regions of interest in a map is a non-trivial problem and retrieving regions of arbitrary shapes poses particular challenges. In this paper, we present a novel region search algorithm, dense region search(DRS), and its extensions, to find regions of interest by estimating the density of locations containing the query keywords in the region. Experiments on both synthetic and real-world datasets demonstrate the effectiveness of our algorithm.展开更多
The paper proposes the research on the distributed vertical search and information integration technology based on Web mining, which aims at satisfying the requirements of the spe- cific fields＇ applications. Nowaday...The paper proposes the research on the distributed vertical search and information integration technology based on Web mining, which aims at satisfying the requirements of the spe- cific fields＇ applications. Nowadays, mining, analyzing, and inte- grating Web＇s content have become an important trend for daily use. The technique includes the Map/Reduce model, the depth search, and the basic principles of information integration. The focus of the paper is how to implement the distributed vertical search engine based on Map/Reduce technology and the informa- tion integration system. System optimization mechanism and the system test are also proposed.展开更多
This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration spa...This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration space surrounding existing nodes in the roadmap and uses a combination of random and deterministic search methods that emulate the behaviour of octopus limbs. The strategy consists of randomly mutating the states of the links near the end-effector, and mutating the states of the links near the base of the robot toward the states of the goal configuration. When combined with the small tree probabilistic roadmap planner, the method was successfully used to solve the narrow passage motion planning problem of a 17 degree-of-freedom manipulator.展开更多
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.
基金Project supported by the Grant-in-Aid for the Global COE Program from the Ministry of Education,Culture,Sports,Science and Technology (MEXT) of Japan,and MEXT Grant-in-Aid for Strategic Formation of Research Infrastructure for Private University,Japan
文摘We present our approach for constructing a federated searching system for Japanese humanities digital libraries using automatic metadata mapping.We discuss some achievements in the ongoing research to construct a federated searching system. The goals of this system are(1) to perform metadata mapping automatically for Japanese heterogeneous humanities digital libraries and(2) to let users access multiple humanities digital libraries by using only one query input.The proposed automatic metadata mapping method produced the average mapping precision of 94.9%.We also address the metadata-related challenges facing Japanese humanities databases.
基金supported by the Zhejiang Provincial Natural Science Foundation of China(No.LZ13F020001)the National Natural Science Foundation of China(Nos.61173185 and 61173186)+1 种基金the National Key Technology R&D Program of China(No.2012BAI34B01)the Hangzhou S&T Development Plan(No.20150834M22)
文摘We consider the problem of finding map regions that best match query keywords. This region search problem can be applied in many practical scenarios such as shopping recommendation, searching for tourist attractions, and collision region detection for wireless sensor networks. While conventional map search retrieves isolate locations in a map, users frequently attempt to find regions of interest instead, e.g., detecting regions having too many wireless sensors to avoid collision, or finding shopping areas featuring various merchandise or tourist attractions of different styles. Finding regions of interest in a map is a non-trivial problem and retrieving regions of arbitrary shapes poses particular challenges. In this paper, we present a novel region search algorithm, dense region search(DRS), and its extensions, to find regions of interest by estimating the density of locations containing the query keywords in the region. Experiments on both synthetic and real-world datasets demonstrate the effectiveness of our algorithm.
基金Supported by China National Earthquake Project(201008007)
文摘The paper proposes the research on the distributed vertical search and information integration technology based on Web mining, which aims at satisfying the requirements of the spe- cific fields＇ applications. Nowadays, mining, analyzing, and inte- grating Web＇s content have become an important trend for daily use. The technique includes the Map/Reduce model, the depth search, and the basic principles of information integration. The focus of the paper is how to implement the distributed vertical search engine based on Map/Reduce technology and the informa- tion integration system. System optimization mechanism and the system test are also proposed.
文摘This article describes a biologically inspired node generator for the path planning of serially connected hyper-redundant manipulators using probabilistic roadmap planners. The generator searches the configuration space surrounding existing nodes in the roadmap and uses a combination of random and deterministic search methods that emulate the behaviour of octopus limbs. The strategy consists of randomly mutating the states of the links near the end-effector, and mutating the states of the links near the base of the robot toward the states of the goal configuration. When combined with the small tree probabilistic roadmap planner, the method was successfully used to solve the narrow passage motion planning problem of a 17 degree-of-freedom manipulator.
