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：南加州大学该项目的目标是设计和开发一个系统，以使其在波浪转换域中对沉浸式传感器数据流的获取，存储，查询和分析，称为浸入式域。沉浸式传感器是未来的用户界面，促进对其生成的数据集进行操纵和分析绝对至关重要。浸入式的管理很具有挑战性，因为它们是：（1）多维，（2）时空，（3）连续数据流和（4）嘈杂。此外，它们的生产率很高，因此它们的实时查询处理是一项艰巨的任务。小波的使用共同减轻了这些挑战。此外，所得系统启用了许多其他应用程序，用于处理大约需要大约和/或渐进式查询支持的大型多维数据流。该项目受益于科学家在PI家庭机构中计算机视觉，图形，信号处理和人为因素研究领域的多学科团队的合作。职业发展计划将培训数据库研究生连续数学和线性代数，并为他们提供机会，以获取动手体验，以利用复杂的数学技术来实现传感器数据分析的目的。此外，本科生和代表性不足的学生将熟悉现代感官/身临其境的界面，并在多维数据流上锻炼挖掘查询的概念。对社会的主要好处将是通过特定的应用程序开发，这将使与软件系统尤其是对残疾人和老年用户进行更自然的互动方法。项目结果将通过互联网（http://infolab.usc.edu）和其他渠道传播，以增加影响。该项目最初是作为职业奖项资助的，并于2004年9月转换为总统的工程师和科学家奖（PECASE）奖。