MII: Improving the Pipeline in Applied Computer Science

MII：改善应用计算机科学的管道

• 批准号: 0330822
• 负责人: John Fernandez
• 金额: --
• 依托单位: Texas A&M University Corpus Christi
• 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: 2003-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0330822&HistoricalAwards=false
• 关键词: MII; Improving; Pipeline; Applied; Computer

This project, focusing on the interdisciplinary challenges of environmental monitoring, environmental modeling and simulation, environmental information systems, and coastal studies, aims at improving recruitment and stimulating underrepresented minorities in the applied computer science pipeline. The work entails several challenging problems (e.g., sensor platforms, data collection, and forecasting), many related to climate research, some involving the development of autonomous vehicles for collecting environmental data, as well as developing tools for its analysis. The research, building on a real-time decision support system built on cyber infrastructure concepts, presents an opportunity to bring together CS, AI, GIS, visualization, data storage, data mining, networking, wireless communication, etc. Two research centers will play a major role in the research efforts, the Texas Coastal Ocean Observation Network (TCOON) and the Harte Research Institute for the Gulf of Mexico Studies. TCOON, a series of data gathering stations from Louisiana to the Mexico border, samples data on precise water levels, wind speed and direction, atmospheric and water temperatures, and barometric pressure. Measurement in turbidity, salinity, and other water chemistry are transmitted to campus via line-of-sight packet radio, cellular phones, via GOES satellite for storage in a real-time, on-line database. Projects involve real-time automated data processing, telecommunications/network protocols, tidal datum processing, web-based visualization and manipulation of coastal data, specialized sensor and data acquisition system development, and neural-network-based and mathematical forecasts from real-time observations. The Harte Research Institute for the Gulf of Mexico Studies will be dedicated to geographic information systems and modeling. Sample projects include: Remote Controlled Shallow Draft Vehicle, and South Texas Tide Modeling.The first, involving human-centered sampling methods utilizes a remote-operated vessel for performing transects of water quality parameters. Interdisciplinary challenges such as remote navigation control, communication/networking, completely automated navigation with GPD, sensor control/data collection/processing, obstacle avoidance, fault tolerance/system recovery, real-time data display and visualization, and integration with geographic information sciences. The second, involving computational simulations and visualizations, is based on a criteria of "goodness" to evaluate the quality of predictions.Educational and outreach activities involve seminars, faculty development, mentoring, curricular changes, and active recruitment. The activities contain a clearly articulated plan for stimulating the imagination and creativity to engage students to continue on to graduate school and an innovative outreach program aimed at high schools to recruit students. Moreover, the work promotes demonstrations such as a "Traveling Circus of CS" to attract students. The project should contribute in the planning of potential PhD program in CS that the university contemplates for the future.

该项目侧重于环境监测、环境建模和模拟、环境信息系统和沿海研究等跨学科的挑战，目的是促进在应用计算机科学方面招聘和激励代表性不足的少数群体。这项工作涉及几个具有挑战性的问题(例如传感器平台、数据收集和预测)，其中许多与气候研究有关，一些涉及用于收集环境数据的自动驾驶车辆的开发，以及开发用于环境数据分析的工具。这项研究建立在以网络基础设施概念为基础的实时决策支持系统的基础上，提供了一个将CS、人工智能、地理信息系统、可视化、数据存储、数据挖掘、网络、无线通信等技术结合在一起的机会。两个研究中心将在研究工作中发挥重要作用，即德克萨斯州海岸海洋观测网(TCOON)和哈特墨西哥湾研究所。TCOON是从路易斯安那州到墨西哥边境的一系列数据采集站，采集关于精确水位、风速和风向、大气和水温以及气压的数据。浊度、盐度和其他水化学的测量通过视距分组无线电、移动电话、GOES卫星传输到校园，存储在实时的在线数据库中。项目涉及实时自动数据处理、电信/网络协议、潮汐数据处理、沿海数据的网络可视化和操纵、专门的传感器和数据采集系统的开发，以及基于神经网络的实时观测和数学预报。哈特墨西哥湾研究所将致力于地理信息系统和建模。样本项目包括：遥控浅吃水车和南得克萨斯潮汐模型。第一，涉及以人为中心的采样方法，利用遥控船只进行水质参数横断面测量。这些挑战包括远程导航控制、通信/联网、全球定位系统的完全自动化导航、传感器控制/数据收集/处理、障碍物回避、容错/系统恢复、实时数据显示和可视化以及与地理信息科学的结合。第二种是计算模拟和可视化，以“好”为标准来评估预测的质量。教育和外展活动包括研讨会、教师发展、指导、课程改革和积极招聘。这些活动包括一个清晰明了的计划，旨在激发学生的想象力和创造力，以吸引学生继续读研究生，以及一个针对高中招生的创新外联计划。此外，该工作还促进了示范活动，如“CS巡回马戏团”，以吸引学生。该项目应有助于规划潜在的博士课程，在CS，该大学对未来的设想。