I-Corps: Intelligent visual framework for analyzing chemical measurement data

I-Corps：用于分析化学测量数据的智能可视化框架

• 批准号: 2017018
• 负责人: Tommy Dang
• 金额: $ 5万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2022-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2017018&HistoricalAwards=false
• 关键词: Corps; Intelligent; visual; framework; analyzing

The broader impact/commercial potential of this I-Corps project is to explore substantive enhancements for the end-users of field-portable sensors. This project proposes an intelligent visual framework for analyzing chemical measurement data. The proposed solution also recommends personalized visualizations through the user’s preferences and interactions. This system can be used for applications in the biological domain and high-performance computing centers.This I-Corps project explores translation of a system that provides and recommends a full range of visualizations from one-dimensional (1D), two-dimensional (2D), three-dimensional (3D), to higher-dimensional (nD) data. Application domains that generate multivariate data can also use our technology. For example, in the biological domain, the framework can help detect and present the dependency network of genes based on their experimental mutation data. Other applications include automatically detection of the links between various health metrics in supercomputing centers (such as CPU temperature, memory usage, and power consumption), which are growing in terms of size and complexity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目更广泛的影响/商业潜力是探索为外地便携式传感器的最终用户提供实质性改进。本计画提出一个智慧型视觉架构，以分析化学量测资料。所提出的解决方案还通过用户的偏好和交互来推荐个性化的可视化。该系统可用于生物领域和高性能计算中心的应用。该I-Corps项目探索了一个系统的翻译，该系统提供并推荐了从一维（1D），二维（2D），三维（3D）到高维（nD）数据的全方位可视化。生成多变量数据的应用程序域也可以使用我们的技术。例如，在生物学领域，该框架可以帮助检测和呈现基于实验突变数据的基因依赖网络。其他应用包括自动检测超级计算中心各种健康指标（如CPU温度、内存使用和功耗）之间的联系，这些指标的规模和复杂性都在增长。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。