PECASE: Management of Immersive Sensor Data Streams

PECASE：沉浸式传感器数据流的管理

• 批准号: 0238560
• 负责人: Cyrus Shahabi
• 金额: $ 40万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-15 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0238560&HistoricalAwards=false
• 关键词: PECASE; Management; Immersive; Sensor; Data

Proposal Title: PECASE: Management of Immersive Sensor Data StreamsInstitution: University of Southern CaliforniaThe goal of this project is to design and develop a system to enable the acquisition, storage, querying and analysis of immersive sensor data streams, termed immersidata, in the wavelet transformed domain. Immersive sensors are the user interfaces of the future and it is absolutely critical to facilitate the manipulation and analysis of their generated data sets. Management of immersidata is challenging because they are: (1) multi-dimensional, (2) spatio-temporal, (3) continuous data streams, and (4) noisy. In addition, they are produced with a high rate and hence their real-time query processing is a challenging task. The use of wavelets alleviates these challenges collectively. Furthermore, the resulting system enables many other applications dealing with large multidimensional data streams that require approximate and/or progressive query support. This project is benefiting from the collaboration of a multidisciplinary team of scientists in the areas of computer vision, graphics, signal processing and human factor studies in the PI's home institution. The career development plan will train the database graduate students in continuous mathematics and linear algebra, and provide them with the opportunity to acquire hands-on experiences in utilizing sophisticated math techniques for sensor data analysis purposes. In addition, undergraduate and underrepresented students will become familiar with modern sensory/immersive interfaces and exercise the concepts of forming mining queries on multidimensional data streams. The main benefits to the society would be through specific application developments, which would enable more natural interaction methods with software systems especially for disabled and elderly users. The project results will be disseminated via Internet (http://infolab.usc.edu) and other channels in order to increase the impact.This project was originally funded as a CAREER award, and was converted to a Presidential Early Career Award for Engineers and Scientists (PECASE) award in September 2004.

提案标题：PECASE：沉浸式传感器数据流的管理该项目的目标是设计和开发一个系统，能够在小波变换域中采集、存储、查询和分析沉浸式传感器数据流，称为沉浸式数据。沉浸式传感器是未来的用户界面，促进对其生成的数据集的操作和分析是绝对关键的。沉浸式数据的管理具有挑战性，因为它们是：(1)多维的，(2)时空的，(3)连续的数据流，(4)噪声的。此外，它们的生成率很高，因此它们的实时查询处理是一项具有挑战性的任务。小波的使用共同缓解了这些挑战。此外，所得到的系统使得许多其他应用能够处理需要近似和/或渐进式查询支持的大型多维数据流。这个项目得益于多学科科学家团队在计算机视觉、图形学、信号处理和PI所在机构的人类因素研究领域的合作。该职业发展计划将对数据库研究生进行连续数学和线性代数方面的培训，并为他们提供在利用复杂的数学技术进行传感器数据分析方面的实践经验。此外，本科生和代表性不足的学生将熟悉现代感觉/沉浸式界面，并练习在多维数据流上形成挖掘查询的概念。对社会的主要好处将是通过具体的应用程序开发，这将使软件系统能够以更自然的方式互动，特别是对于残疾和老年用户。项目成果将通过互联网(http://infolab.usc.edu))和其他渠道传播，以扩大影响。该项目最初是作为职业奖资助的，并于2004年9月转变为总统早期工程师和科学家职业奖。