[1] Atkins D E, Droegemeier K K, Feldman S I, et al. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure [R].Washington D C, USA: The National Science Fundation,2003.
[2] Cotofana C, Ding L, Shin P, et al. An soa-based framework for instrument management for large-scale observing systems (usarray case study) [C]//2006 IEEE International Conference on Web Services. Los Alamitos, CA, USA: IEEE Computer Society Press,2006: 815-822.
[3] Wang S, Liu Y. TeraGrid GIScience gateway: Bridging cyberinfrastructure and GIScience [J]. International Journal of Geographical Information Science, 2009, 23(5): 631-656.
[4] Li W W, Krishnan S, Mueller K, et al. Building cyberinfrastructure for bioinformatics using service oriented architecture [C]//Cluster Computing and the Grid, 2006. Los Alamitos, CA, USA: IEEE Computer Society Press, 2006, BG03.
[5] Reymond D, Dib K, Kromm H. Data-mining and indicators in cyberinfrastructure [C]//Global Engineering Education Conference (EDUCON), 2012 IEEE. IEEE, 2012: 1-10.
[6] Wang S. A CyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis [J]. Annals of the Association of American Geographers, 2010, 100(3): 535-557.
[7] Gorlatch S, Glinka F, Ploss A. Towards a scalable real-time cyberinfrastructure for online computer games [C]//2009 15th International Conference on Parallel and Distributed Systems. Piscataway, NJ, USA: IEEE Press, 2009: 722-727.
[8] Chave A D, Arrott M, Farcas C, et al. Cyberinfrastructure for the US ocean observatories initiative: Enabling interactive observation in the ocean [C]//Oceans 2009- Europe. Piscataway, NJ, USA: IEEE Press, 2009: 1-10.
[9] Meisinger M, Farcas C, Farcas E, et al. Serving ocean model data on the cloud [M]. Piscataway, NJ, USA: IEEE Press, 2009.
[10] Arrott M, Alexander C, Graybeal J, et al. Building transparent data access for ocean observatories: Coordination of US IOOS DMAC with NSF's OOI Cyberinfrastructure [C]//OCEANS 2011. Piscataway, NJ, USA: IEEE Press, 2011: 1-9.
[11] 李立刚, 赵彩云, 秦明慧, 等. 海洋观测数据管理系统的设计与实现 [J]. 海洋预报, 2010, 27(2): 53-57.LI Ligang, ZHAO Caiyun, QIN Huiming, et al. A design and implementation of the data management system for marine environment monitoring [J]. Marine Forecasts, 2010, 27(2), 53-57.(in Chinese)
[12] 孙凯, 李智刚, 秦宝成, 等. 海底观测网控制系统设计 [J]. 传感器与微系统, 2014, 33(8): 94-96.SUN Kai, LI Zhigang, QIN Baocheng, et al. Design on control system for ocean observatories [J]. Transducer and Microsystem Technologies.2014, 33(8): 94-97.(in Chinese)
[13] 薛志刚, 金波, 李德骏, 等. 海底观测网络的监测信息系统研究 [J]. 轻工机械, 2010, 28(4): 83-86.XUE Zhigang, JIN Bo, LI Dejun, et al. Research on monitor information system in seafloor observatory network [J]. Light Industry Machinery, 2010,28(4),83-86.(in Chinese)
[14] 李进华. e-Science环境下的科学工作流实现及其应用研究(Ⅰ)—概念、架构与设计 [J]. 情报科学, 2009(9):1394-1399.LI Jinhua. E-Science-based implement of scientific workflow and its application—concept, architecture and design [J]. Information Science, 2009(9): 1394-1399. (in Chinese)
[15] 张卫民, 刘灿灿, 骆志刚. 科学工作流技术研究综述 [J]. 国防科技大学学报, 2011, 33(3): 56-65.ZHANG Weimin, LIU Cancan, LUO Zhigang. A Review on Scientific Workflow [J]. Journal of National University of Defense Technology, 2011, 33(3): 56-65. (in Chinese)
[16] Altintas I, Berkley C, Jaeger E, et al. Kepler: An extensible system for design and execution of scientific workflows [C]//Proceedings of the 16th International Conference on Scientific and Statistical Database Management. Santorini Island, Greece: IEEE, 2004: 423-424.
[17] 丛丕福, 张丰收, 曲丽梅. 赤潮灾害监测预报研究综述 [J]. 灾害学, 2008, 23(2): 127-130. CONG Pifu, ZHANG Fenshou, QU Limei. Overview on monitoring and forecast of red tide hazard [J]. Joural of Catastrophology , 2008, 23(2): 127-130.(in Chinese)
[18] 刘雪芹, 夏新, 张建辉,等. 赤潮监测技术的现状与发展 [J]. 中国环境监测, 2002, 18(6):64-67. LIU Xueqin, XIA Xin, ZHANG Jianhui, et al. Current status and progress on red tide monitoring technology [J]. Environmental Monitoring in China, 2002, 18(6): 64-67.(in Chinese)
[19] Pham D L, Prince J L. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities [J]. Pattern recognition letters, 1999, 20(1): 57-68.
[20] Wang S, Xu Y, Pang Y. A fast underwater optical image segmentation algorithm based on a histogram weighted fuzzy C-means improved by PSO [J]. Journal of Marine Science and Application, 2011, 10(1): 70-75.
[21] 董锐. 高校虚拟科研组织中Cyberinfrastructure建设的研究[D]. 浙江: 浙江大学, 2009.DONG Rui. Research in Cyberinfrastructure Construction in Virtual Scientific Research Organization of University[D]. Zhejiang: Zhejiang University, 2009.(in Chinese)
[22] 陈凯泉, 张士洋. 研究型大学虚拟科研组织的组建模式与运行机制 [J]. 现代教育技术, 2012, 22(10): 5-11.CHEN Kaiquan, ZHANG shiyang. The building model and running mechanisms of virtual Research organizations in research-oriented university [J]. Modern Educational Technology, 2012,22(10):5-11.(in Chinese)
[23] 林向义, 罗洪云, 杨金保, 等. 高校虚拟科研团队知识共享能力评价研究 [J]. 情报科学, 2014, 32(011):102-107.LIN Xiangyi, LUO Hongyun, YANG Jinbao, et al. Evaluation on knowledge sharing capability of virtual scientific research team in colleges and universities [J]. Information Science, 2014, 32(011):102-107.(in Chinese)