MRI: Acquisition of Big Data Training and Research Laboratory

MRI：收购大数据培训和研究实验室

• 批准号: 1427536
• 负责人: Taghi Khoshgoftaar
• 金额: $ 60万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1427536&HistoricalAwards=false
• 关键词: MRI; Acquisition; Big; Data; Training

This project, procuring and acquiring a large computing cluster appropriate for Big Data research, aims to enable research in a number of fields of national concern such as bioinformatics, ocean energy, social media mining, environmental and climate modeling, image processing and analysis emergency response, health and medical informatics, national security, infrastructure maintenance and reliability, law enforcement, commerce, and manufacturing. Of particular note are seven projects spanning a wide range of application domains. These include the- Extension of LexisNexis's High Performance Computing Cluster (HPCC) platform to incorporate a Wider Range of Algorithms;- Analysis of Big Data for Bioinformatics;- Use of Machine Condition Monitoring and Prognostic Health Monitoring to Improve Ocean Turbine Reliability;- General Challenges found when Mining Streaming data;- Analysis of Underwater Acoustic Signals for Tasks such as Unexploded Ordinance Detection; - Use of Machine Learning to Improve Video Compression Schemes; and- Challenges of Climate Modeling.All these demand the advanced computation resources under this acquisition. The study of Big Data encompasses the analysis of extremely large datasets, building models which are able to incorporate vast numbers of instances and features in order to make reliable predictions and connections.Maintaining and promoting the growth of Big Data has become an essential activity to ensure that the problems that now seem insurmountable may be solved tomorrow. Two aspects of this growth are developing and providing courses for students focused on the tools and techniques necessary for Big Data research, and more focused training in these tools for existing researchers whose area of expertise lies in other aspects of research. Best practices will be followed for cultural diversity, involving students and researchers from underrepresented groups.

该项目采购和获得适合大数据研究的大型计算集群，旨在实现国家关注的许多领域的研究，如生物信息学，海洋能源，社交媒体挖掘，环境和气候建模，图像处理和分析应急响应，健康和医疗信息学，国家安全，基础设施维护和可靠性，执法，商业和制造业。特别值得注意的是七个项目，跨越广泛的应用领域。其中包括-扩展LexisNexis的高性能计算集群（HPCC）平台，以纳入更广泛的算法;-生物信息学大数据分析;-使用机器状态监测和预后健康监测来提高海洋涡轮机可靠性;-挖掘流数据时发现的一般挑战;-分析水下声学信号以执行未爆炸弹药检测等任务;- 利用机器学习改进视频压缩方案;以及-气候建模的挑战。所有这些都需要在此次收购中使用先进的计算资源。大数据的研究包括对超大型数据集的分析，构建能够整合大量实例和特征的模型，以便进行可靠的预测和连接。维护和促进大数据的增长已经成为确保现在似乎无法解决的问题明天可能得到解决的重要活动。这种增长的两个方面是为学生开发和提供专注于大数据研究所需的工具和技术的课程，以及为现有研究人员提供更有针对性的培训，这些研究人员的专业领域在于研究的其他方面。将遵循促进文化多样性的最佳做法，让代表性不足群体的学生和研究人员参与。