Collaborative Research: Internet System for Networked Sensor Experimentation

马萨诸塞大学洛厄尔分校（UML）和机器科学公司提议开发一个基于网络的系统，用于聚合和共享使用无线通信系统收集的传感器数据。该系统将允许高中生和本科生查看、绘制、分析和导出来自单个传感器的数据，并将来自多个传感器的数据组合起来，以检查地区、国家和全球现象（例如，从人类健康到环境科学和节能的STEM主题）。拟议的项目？它的智力优势来自于使用新兴的无线和网络技术来提高学生的参与度和理解力。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，用于共享和聚合来自多个来源的数据的新互联网技术已经出现。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，该项目将利用？mashup？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，产生了功能强大、功能多样的混合工具。根据拨款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，以确保项目的成功。更广泛的影响。随着数据集的增长，整个网络社区都可以对其进行审查和分析。将酌情使用数据表示和传输的开放标准。在试点阶段，学生将从不同种族和经济条件较差的城市社区招募，并鼓励他们从事专注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.