PECASE: Management of Immersive Sensor Data Streams

项目名称：PECASE：沉浸式传感器数据流管理机构：南加州大学该项目的目标是设计和开发一个系统，以实现小波变换领域的沉浸式传感器数据流（称为immersidata）的采集、存储、查询和分析。沉浸式传感器是未来的用户界面，它对于促进对其生成的数据集的操作和分析至关重要。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，(4)嘈杂的。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，生成的系统支持许多其他应用程序处理需要近似和/或渐进查询支持的大型多维数据流。该项目得益于PI所在机构计算机视觉、图形学、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。职业发展计划将培养数据库研究生在连续数学和线性代数，并为他们提供机会获得实践经验，利用复杂的数学技术，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/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特定的应用程序开发，这将使软件系统具有更自然的交互方法，特别是为残疾人和老年人用户。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资助的，并于2004年9月转换为工程师和科学家的总统早期职业奖（PECASE）奖。

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.