REU Site: Hardware, Embedded Software, and Analytics for Environment Quality Monitoring

REU 站点：环境质量监测的硬件、嵌入式软件和分析

• 批准号: 1950082
• 负责人: Cristinel Ababei
• 金额: $ 37.67万
• 依托单位: Marquette University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950082&HistoricalAwards=false
• 关键词: REU; Site; Hardware; Embedded; Software

There has never been a higher urgency for addressing environmental problems, many caused by human activity and emerging climate change. Thus, the main theme of this Research Experiences for Undergraduates (REU) Site project is the development of a holistic approach for water and air quality monitoring. Participating faculty from three different departments, Electrical and Computer Engineering, Mechanical Engineering, and Civil Construction and Environmental Engineering will work with students to contribute to active research on underwater and aerial drones, water and air quality sensors, embedded algorithms for sensor fusion, navigation and control, sensor technologies, wireless communications, 3D printing and mechanical design of drone hulls, and environmental engineering. By recruiting students nationally and from those at Marquette and local community colleges - with a particular focus on women, African-American and Hispanic students- the proposed program will bring together students from diverse cultural and academic backgrounds, thereby increasing participation and having a broader impact. This proposal will transform the way the environment monitoring is done holistically with interdisciplinary approaches, spanning multiple areas, while training the next generation of engineers and researchers with more comprehensive views of the problems that society faces today and in the future. This program uses an interdisciplinary approach to addressing open research questions in the area of embedded and computational solutions using underwater and aerial drones for the purpose of water and air monitoring, data collection, and analytics. Having environment monitoring as the underlying theme, the proposed project is interdisciplinary. This is a unique aspect of this proposal as it crosses department boundaries to bring together into a holistic approach research projects from three different departments. The objectives are to: 1) engage student participants in research activities leading to intellectual flow experiences, which will increase motivation and commitment to careers in Science, Technology, Engineering and Mathematics (STEM); 2) increase participation in engineering and science of women, African-American and Hispanic students; 3) educate students for academic excellence and persistent contribution to STEM for the greater good of humanity; and 4) mentor participants for life-long learning careers in engineering. To achieve these objectives, students will be immersed daily in research activities. These activities will be facilitated via a series of bootcamps on writing, entrepreneurship and machine learning, in addition to self-paced online technical training, environment monitoring colloquium and lunch with speakers, tours at local companies, and graduate seminars.This site is supported by the Department of Defense in partnership with the NSF REU program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

解决环境问题从未像现在这样紧迫，其中许多问题是由人类活动和新出现的气候变化造成的。因此，本研究经验的本科生（REU）网站项目的主题是水和空气质量监测的整体方法的发展。来自三个不同部门的参与教师，电气和计算机工程，机械工程，土木建筑和环境工程将与学生合作，为水下和空中无人机，水和空气质量传感器，传感器融合嵌入式算法，导航和控制，传感器技术，无线通信，3D打印和无人机外壳的机械设计，和环境工程。通过在全国范围内以及从马奎特和当地社区学院招收学生-特别关注女性，非洲裔美国人和西班牙裔学生-拟议的计划将汇集来自不同文化和学术背景的学生，从而增加参与并产生更广泛的影响。该提案将通过跨学科方法全面改变环境监测的方式，跨越多个领域，同时培养下一代工程师和研究人员，对当今和未来社会面临的问题有更全面的看法。该计划使用跨学科的方法来解决嵌入式和计算解决方案领域的开放研究问题，使用水下和空中无人机进行水和空气监测，数据收集和分析。以环境监测为基本主题的拟议项目是跨学科的。这是该提案的一个独特方面，因为它跨越了部门界限，将三个不同部门的研究项目整合到一起。其目标是：1）让学生参与研究活动，导致智力流动的经验，这将增加动机和承诺的职业生涯在科学，技术，工程和数学（干）; 2）增加参与工程和科学的妇女，非洲裔美国人和西班牙裔学生; 3）教育学生的学术卓越和持续贡献干人类的更大利益;以及4）指导参与者终身学习工程事业。为了实现这些目标，学生将每天沉浸在研究活动中。这些活动将通过一系列关于写作、创业和机器学习的训练营来促进，此外还有自定进度的在线技术培训、环境监测座谈会和与演讲者共进午餐、当地公司的图尔斯参观、和研究生研讨会。该网站由国防部与NSF REU计划合作支持。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估。

项目成果

Reconstruction of Sparse Stream Flow and Concentration Time‐Series Through Compressed Sensing

• DOI: 10.1029/2022gl101177
• 发表时间: 2023-01
• 期刊: Geophysical Research Letters
• 影响因子: 5.2
• 作者: Kun Zhang;Wasif Bin Mamoon;E. Schwartz;A. Parolari