CC* Integration: SENSELET: Sensory Network Infrastructure for Scientific Laboratory Environments

CC* 集成：SENSELET：科学实验室环境的传感网络基础设施

基本信息

批准号：
1827126
负责人：
Klara Nahrstedt
金额：
$ 50万
依托单位：
University of Illinois at Urbana-Champaign
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2021-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827126&HistoricalAwards=false
关键词：
CC Integration SENSELET Sensory Network

项目摘要

Scientific instruments (e.g., scanning electron microscopes) are extensively used todiscover new materials, develop novel semiconductor device fabrication recipes, and perform new biological processes.One way to speed up scientific discoveries is to provide scientists with advanced cyber-infrastructures to capture, transmit,store, share, analyze, and correlate as much environmental metadata (e.g., humidity, temperature)from scientific lab environments as possible. Current network infrastructure does not captureany external wireless sensory data around the instruments.The recent advent of low-cost, cloud-based sensors and the introduction of diverse wireless networktechnologies, low-cost mobile and personal devices, and Internet of Things (IoT) solutions provide anovel and viable path for automating sensory data collection in diverse science laboratory environments.SENSELET, a SEnsory Network infrastructure for SciEntific Lab EnvironmenTs, has the goals of (a)deploying a diverse wireless and scalable sensory infrastructure close to scientific instruments, and (b)correlating and synchronizing sensory data with cloud-based instrument data and metadata in real-timeand on-demand. The SENSELET infrastructure will provide additional measurements that will increaseaccuracy of scientific results, and enable better environmental monitoring and control of labs for labmanagers. The SENSELET infrastructure will include (a) wireless sensors such as humidity, temperature,and vibration sensors; (b) an edge computing device with multiple wireless communication interfacesresiding in the lab; and (c) private cloud computing service to storeand correlate sensory data with instrument data in real-time or on-demand. SENSELET willprovide trusted and real-time instrument data uploading, curation, search, and coordination services.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.

Scientific instruments (e.g., scanning electron microscopes) are extensively used todiscover new materials, develop novel semiconductor device fabrication recipes, and perform new biological processes.One way to speed up scientific discoveries is to provide scientists with advanced cyber-infrastructures to capture, transmit,store, share, analyze, and correlate as much environmental metadata (e.g., humidity, temperature)from scientific lab environments as 可能的。当前的网络基础架构不会捕捉仪器周围周围的外部无线感觉数据。低成本，基于云的传感器的出现以及引入各种无线网络技术，低成本移动和个人设备以及物联网解决方案（IoT）解决方案（IoT）的解决方案（IOT）的解决方案（IOT）提供了无效的路径，可在多样化的科学实验室中自动化感官范围，以实现多样化的科学实验室，并构建了感官的范围。（a）部署靠近科学仪器的各种无线和可扩展的感觉基础架构，以及（b）将感觉数据与基于云的仪器数据和元数据相关联和同步。感觉骨骼基础设施将提供其他测量值，以提高科学结果的调查，并为LabManagers提供更好的环境监测和控制。感觉骨骼基础架构将包括（a）无线传感器，例如湿度，温度和振动传感器；（b）实验室中具有多个无线通信交流的边缘计算设备；（c）私有云计算服务以实时或按需将感觉数据与仪器数据相关联。 Senselet将提供可信赖的实时仪器数据上传，策展，搜索和协调服务。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

MIRAS: Model-based Reinforcement Learning for Microservice Resource Allocation over Scientific Workflows

DOI：
10.1109/icdcs.2019.00021
发表时间：
2019-07
期刊：
2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
影响因子：
0
作者：
Zhe Yang;Phuong Nguyen;Haiming Jin;K. Nahrstedt
通讯作者：
Zhe Yang;Phuong Nguyen;Haiming Jin;K. Nahrstedt

SENSELET++: A Low-cost Internet of Things Sensing Platform for Academic Cleanrooms

SENSELET：用于学术洁净室的低成本物联网传感平台

DOI：
10.1109/mass52906.2021.00020
发表时间：
2021
期刊：
2021,
影响因子：
0
作者：
Tian, Beitong;Yang, Zhe;Moeini, Hessam;Gupta, Ragini;Su, Patrick;Kaufman, Robert;McCollum, Mark;Dallesasse, John;Nahrstedt, Klara
通讯作者：
Nahrstedt, Klara

Low-threshold InP quantum dot and InGaP quantum well visible lasers on silicon (001)