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Chuentsai Sun - One of the best experts on this subject based on the ideXlab platform.

  • impacts of Geographical Knowledge spatial ability and environmental cognition on image searches supported by gis software
    Computers in Human Behavior, 2009
    Co-Authors: Peilan Lei, Gloria Yiming Kao, Sunny S J Lin, Chuentsai Sun
    Abstract:

    Google Earth search function was used to study the impacts of small-scale spatial ability, large-scale environmental cognition, and Geographical Knowledge on new technology usage. The participants were 153 junior high students from central Taiwan. Geography grades served as indicators of prior Knowledge, mental rotation and abstract reasoning skills as indicators of spatial ability, and sketch maps of school neighborhoods as indicators of environmental cognition (including landmark representation, intersection representation, and frame of reference). Lastly, the authors announced the landmarks searching worksheet and asked the participants to accomplish 16 familiar and unfamiliar landmark searching tasks using Google Earth with keyword search function disabled. The result showed the strongest predictor of landmark searching performance is 'frame of reference' in environmental cognition, followed by 'mental rotation' of spatial ability, 'landmark representation' of environmental cognition, and Geographical Knowledge. Google Earth landmark searches require complex cognitive processing; therefore, our conclusion is that GIS-supported image search activities give students good practice of active Knowledge construction.

Sunchuen-tsai - One of the best experts on this subject based on the ideXlab platform.

Peilan Lei - One of the best experts on this subject based on the ideXlab platform.

  • impacts of Geographical Knowledge spatial ability and environmental cognition on image searches supported by gis software
    Computers in Human Behavior, 2009
    Co-Authors: Peilan Lei, Gloria Yiming Kao, Sunny S J Lin, Chuentsai Sun
    Abstract:

    Google Earth search function was used to study the impacts of small-scale spatial ability, large-scale environmental cognition, and Geographical Knowledge on new technology usage. The participants were 153 junior high students from central Taiwan. Geography grades served as indicators of prior Knowledge, mental rotation and abstract reasoning skills as indicators of spatial ability, and sketch maps of school neighborhoods as indicators of environmental cognition (including landmark representation, intersection representation, and frame of reference). Lastly, the authors announced the landmarks searching worksheet and asked the participants to accomplish 16 familiar and unfamiliar landmark searching tasks using Google Earth with keyword search function disabled. The result showed the strongest predictor of landmark searching performance is 'frame of reference' in environmental cognition, followed by 'mental rotation' of spatial ability, 'landmark representation' of environmental cognition, and Geographical Knowledge. Google Earth landmark searches require complex cognitive processing; therefore, our conclusion is that GIS-supported image search activities give students good practice of active Knowledge construction.

Chongcheng Chen - One of the best experts on this subject based on the ideXlab platform.

  • A Data Volume Aware Ant Colony Optimization Approach for Geographical Knowledge Cloud Service Composition
    International Journal of Grid and Distributed Computing, 2016
    Co-Authors: Chongcheng Chen, Hongyu Huang
    Abstract:

    Geographical Knowledge cloud service is a typical online service that provides big spatial data analysis with the function of Knowledge discovery or decision-making. The composition of Geographical Knowledge cloud service imposes stricter requirements for better overall QoS and execution efficiency of the service chain. In this paper, we present a data volume aware ant colony optimization approach called DVA-MOACO algorithm for Geographical Knowledge cloud service composition. Our algorithm utilizes a multi-index service quality evaluation model, and improves the transition probability while considering the data transfer cost and other QoS constraints simultaneously when ant finding path. Our algorithm could reach the Pareto near optimal solution rapidly with better QoS performance and lower data transfer cost from numerous candidate solutions.

  • Hadoop-based service registry for Geographical Knowledge service cloud: Design and implementation
    2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013
    Co-Authors: Jianfeng Lin, Chongcheng Chen, Yewei Liu
    Abstract:

    The increasing maturity of Cloud computing technology brings a profound change to modern information service industry. With explosive growth of the web services, traditional service registration software encounters many problems on cloud service registration and discovery. In this paper, we design and implement a novel Geographical Knowledge service registry (GeoSC) to address the problems of organizing and managing vast amounts of heterogeneous Knowledge services under cloud environment and support for fast, accurate service discovery. Based on open-source cloud computing framework - Hadoop stack, GeoSC adopted a non-relational data-storage model to support QoS-based and semantics-based service description, and provide efficient parallel service discovery. We carried out an elaborate comparison between GeoSC and traditional service registration software - JUDDI to validate web service registration and discovery performance improvement. The preliminary results indicated that, GeoSC performs better on service registration and discovery than JUDDI.

  • geoksgrid a Geographical Knowledge grid with functions of spatial data mining and spatial decision
    International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011
    Co-Authors: Jiaxiang Lin, Chongcheng Chen, Weibin Wang
    Abstract:

    Motivated by the lack of a Geographical problem solving environment that is adequate to provide end users with reliable, open, distributed, and long lasting spatial data analyzing and Knowledge discovery services, a novel Geographical Knowledge service platform — GeoKSGrid with functions of spatial decision support and distributed & parallel data mining is described in this paper. The basic concepts and state-of-the-art Knowledge in grid research is discussed first. Then, the design of system architecture and the implementation of several most important modules of GeoKSGrid are illustrated. Finally, some demonstrative applications of the Geographical Knowledge services in real industry contexts is examined, combining with a brief interpretation of the processing results which confirm the practical value of the services and Knowledge grid platform.

  • ICSDM - GeoKSGrid: A Geographical Knowledge grid with functions of spatial data mining and spatial decision
    Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011
    Co-Authors: Jiaxiang Lin, Chongcheng Chen, Weibin Wang
    Abstract:

    Motivated by the lack of a Geographical problem solving environment that is adequate to provide end users with reliable, open, distributed, and long lasting spatial data analyzing and Knowledge discovery services, a novel Geographical Knowledge service platform — GeoKSGrid with functions of spatial decision support and distributed & parallel data mining is described in this paper. The basic concepts and state-of-the-art Knowledge in grid research is discussed first. Then, the design of system architecture and the implementation of several most important modules of GeoKSGrid are illustrated. Finally, some demonstrative applications of the Geographical Knowledge services in real industry contexts is examined, combining with a brief interpretation of the processing results which confirm the practical value of the services and Knowledge grid platform.

  • The design development and application of Geographical Knowledge service grid portal
    2009 17th International Conference on Geoinformatics, 2009
    Co-Authors: Chongcheng Chen
    Abstract:

    Geographical Knowledge grid is a platform which utilizes grid computing technology and geo-information science to supply powerful spatial Knowledge discovery and sharing ability. Due to the complexity of Knowledge grid, we design a portal named as GeoKS-Grid Portal as the access point to the platform. This paper describes the design and development procedures and introduces the framework of the portal, which consists of data sharing and management module, platform monitoring module, grid task execution module, Geographical Knowledge service module and portal administration module. This paper also displays the application of the portal in air pollution dispersion simulation of Xiamen City.

Leipei-lan - One of the best experts on this subject based on the ideXlab platform.