MRI: Development of an Integrated, Geospatial Analytics Research Instrument

MRI：开发集成的地理空间分析研究仪器

• 批准号: 1126619
• 负责人: Naphtali Rishe
• 金额: $ 67.87万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126619&HistoricalAwards=false
• 关键词: MRI; Development; Integrated; Geospatial; Analytics

Proposal #: CNS 11-26619 PI(s): Rishe, Naphtali D.; Chen, Shu-Ching; Christidis, Evangelos; Li, Tao; Zhao, MingInstitution: Florida International UniversityTitle: MRI/Dev.: An Integrated, Geospatial Analytics Research InstrumentProject Proposed: This project, developing an integrated, high performance instrument designed for the domain experts, focuses its domain on environment from which researchers can easily process and store spatial and related data, visualize and explore data relevant to their domains, and analyze data of interest via analytics of their choosing. This instrument will provide a suite of cloud services and user-centric analytic technologies via a Disaster Dataspace Services Cloud (DDSC), open-standard APIs, and cutting-edge data visualization capabilities. The Instrument will utilize a large-scale, optimized infrastructure to deliver high levels of throughput and responsiveness, including an improved Hadoop/MapReduce architecture to enable decision-support and information discovery queries on massive amounts of structured and unstructured data. The proposed multidisciplinary research includes: - Several areas of Computer Science research, including query and data quality control algorithms on heterogeneous, multisource streaming data, automated discovery approaches, intelligent query/search modeling, GIS, data mining, moving objects, and scientific data visualization; - Algorithms in data quality control and indexing on heterogeneous, multisource streaming data, and knowledge discovery algorithms with spatially aware information, such as rare event and spatio-temporal change and trend detection; and- Instrument?s applicability in the decision-making process in various fields, especially in disaster mitigation. Broader Impacts: This project, in a minority-serving institution, exhibits strength in broader impacts that may be found In leveraging a number of successful ongoing projects, most notably in computer science and geo-spatial sciences. The instrument carries potential to transform the decision-making process in disaster mitigation. The enabled research should benefit applications in environmental monitoring, transportation, education, public health and safety. The instrument would be used in classroom. Planned is recruitment that targets underrepresented minority students (Hispanics) through innovative research and quality education programs.

提案#:CNS 11-26619 PI(s): Rishe, Naphtali D.；陈,Shu-Ching;Christidis Evangelos;李,道;工作单位：佛罗里达国际大学职称：MRI/Dev集成的地理空间分析研究仪器项目建议：该项目为领域专家开发一种集成的高性能仪器，将其领域重点放在研究人员可以轻松处理和存储空间和相关数据的环境上，可视化和探索与他们领域相关的数据，并通过他们选择的分析分析感兴趣的数据。该仪器将通过灾难数据空间服务云（DDSC）、开放标准api和尖端数据可视化功能提供一套云服务和以用户为中心的分析技术。该仪器将利用大规模、优化的基础设施来提供高水平的吞吐量和响应能力，包括改进的Hadoop/MapReduce架构，以实现对大量结构化和非结构化数据的决策支持和信息发现查询。建议的多学科研究包括：-计算机科学研究的几个领域，包括异构、多源流数据的查询和数据质量控制算法、自动发现方法、智能查询/搜索建模、GIS、数据挖掘、移动对象和科学数据可视化；-异构、多源流数据的数据质量控制和索引算法，以及具有空间感知信息的知识发现算法，如罕见事件、时空变化和趋势检测；和仪器?S在各个领域的决策过程中的适用性，特别是在减灾方面。更广泛的影响：该项目在为少数族裔服务的机构中，展示了广泛影响的力量，可以在利用许多成功的正在进行的项目中找到，最明显的是在计算机科学和地理空间科学方面。该文书具有改变减灾决策过程的潜力。这些研究成果将有利于环境监测、交通、教育、公共卫生和安全方面的应用。这个仪器将在教室里使用。计划通过创新研究和优质教育计划，针对代表性不足的少数民族学生（西班牙裔）进行招聘。