PECASE: Management of Immersive Sensor Data Streams

提案标题：PECASE：沉浸式传感器数据流的管理机构：南加州大学本项目的目标是设计和开发一个系统，使沉浸式传感器数据流的采集，存储，查询和分析，称为沉浸式数据，在小波变换域。沉浸式传感器是未来的用户界面，促进其生成的数据集的操作和分析是绝对关键的。沉浸式数据的管理是具有挑战性的，因为它们是：（1）多维的，（2）时空的，（3）连续的数据流，以及（4）噪声。此外，它们是以高速率产生的，因此它们的实时查询处理是一项具有挑战性的任务。小波的使用共同解决了这些挑战。此外，由此产生的系统使许多其他应用程序处理大型多维数据流，需要近似和/或渐进式查询支持。该项目得益于PI所在机构计算机视觉、图形、信号处理和人为因素研究领域的多学科科学家团队的合作。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，以获得利用传感器数据分析目的的复杂数学技术的实践经验。此外，本科生和代表性不足的学生将熟悉现代感官/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，特别是残疾人和老年人用户更自然的互动方法。该项目的成果将通过因特网（http：//www.example.com）和其他渠道传播，以扩大影响，该项目最初是作为职业奖提供资金的，2004年9月改为工程师和科学家总统早期职业奖。infolab.usc.edu

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.