Collaborative Research: Internet System for Networked Sensor Experimentation

马萨诸塞州洛厄尔大学（UML）和机器科学公司。提出开发一种用于聚集和共享使用无线通信系统收集的传感器数据的基于web的系统。 该系统将允许高中生和大学生查看、绘制、分析和导出来自各个传感器的数据，并将来自多个传感器的数据联合收割机结合起来，以检查区域、国家和全球现象（例如，从人类健康到环境科学和能源保护的STEM主题）。拟议的项目？的智力价值来自于它使用新兴的无线和网络技术，以提高学生的参与和理解。无线通信、电源管理和网络协议的最新进展使得从远程安装的传感器收集实时数据变得更加容易和便宜。与此同时，新的互联网技术已经出现，用于共享和汇总来自多个来源的数据。值得注意的是，该项目将利用RSS技术，将博客、留言板帖子和联合新闻等网络内容转换为易于解析和操作的数据流。同样，该项目将发挥杠杆作用？混搭该技术将用户提供的数据与谷歌地图等网络服务的图像和用户界面相结合，以产生具有惊人功能和多功能性的混合工具。在赠款下开发的科学仪器和网络系统将在马萨诸塞州进行试点，然后在全国范围内积极推广，以确保项目？更广泛的影响。随着数据集的增长，它将可供整个网络社区审查和分析。将酌情使用数据表示和传输的开放标准。在试点阶段，将从种族多样性和经济弱势的城市社区招募学生，并鼓励他们从事侧重于各种科学问题的研究项目。

The University of Massachusetts Lowell (UML) and Machine Science Inc. propose to develop a web-based system for aggregating and sharing sensor data collected using a wireless communication system. The system would allow high school students and undergraduates to view, graph, analyze, and export data from individual sensors, and to combine data from multiple sensors to examine regional, national, and global phenomena (e.g., for STEM topics ranging from human health to environmental science and energy conservation). The proposed project?s intellectual merit derives from its use of emerging wireless and web technologies to enhance student engagement and understanding. Recent advances in wireless communication, power management, and networking protocols have made it significantly easier and less expensive to gather real-time data from remotely installed sensors. At the same time, new Internet technologies have emerged for sharing and aggregating data from multiple sources. Notably, the project will make use of RSS technology, which transforms web content, such as blogs, message board postings, and syndicated news, into data streams that can be readily parsed and manipulated. Likewise, the project will leverage ?mashup? technology, which combines user-supplied data with the imagery and user interface of web services like Google Maps to produce hybrid tools of astounding power and versatility. The scientific instruments and web system developed under the grant will be piloted in Massachusetts and then actively promoted nationally to ensure the project?s broader impacts. As the data set grows, it will be available for review and analysis by the entire web community. Open standards for data representation and transmission will be used, as appropriate. At the pilot stage, students will be recruited from racially diverse and economically disadvantaged urban communities, and encouraged to pursue research projects focusing on a variety of scientific problems.