Chee-Wooi Ten (ECE), a member of Michigan Tech’s Center for Agile and Interconnected Microgrids and the ICC’s Center for Cyber-Physical Systems, is the principal investigator on a 17-month project that has received a $99,732 research and development cooperative agreement with the University of California Riverside. The project is entitled, “Discovery of Signatures, Anomalies, and Precursors in Synchrophasor Data with Matrix Profile and Deep Recurrent Neural Networks.”
Kuilin Zhang (CEE/MTTI), a member of the ICC Center for Cyber-Physical Systems (CPS), is the primary investigator on a project that has received a $567,230 contract with the Federal Railroad Administration. This project is entitled, “Developing Safe and Efficient Driving and Routing Strategies at Railroad Grade Crossings Based on Highway-Railway Connectivity.” Pasi Lautala (CEE) is the Co-PI on this potential two-year project.
Abstract: Road damages induced by heavily loaded truck traffic during the spring thaw are a major road distress in cold regions. To minimize these damages, Spring Load Restriction (SLR) is widely applied in the U.S., Canada, and other countries during the early thawing season by controlling the movement of freight-carrying trucks and heavy equipment travel until the thawing ends. Most SLR policies rely on the Freezing Depth (FD) and Thawing Depth (TD), especially the latter one. Therefore, accurate predictions of FD and TD are important to prevent both the extensive damage to the pavement due to the late placement or early removal of SLR and the economic loss of road users due to an unnecessarily long SLR period. Here, we propose a new multivariate model for predicting FD and TD in support of SLR decision-making. The model gives a curving surface of FD and TD in a 3-dimensional space, instead of 2-dimensional in traditional methods, by considering both the freezing and thawing indices in the entire freeze-thaw cycle. For model evaluations, yearly field data measured at five typical sites from 104 sites in Michigan were adopted. The evaluation results showed that the proposed model is accurate in predicting FD and TD for most sites. Compared to the previous TD predictions in the existing study, the TD predictions with the proposed model have been significantly improved. In addition, this study provides field data that have not been reported earlier in the literature and that can be used for validating other prediction models. The reported work is ready for practice for roadways in cold regions to support SLR decision-making.
Citation: Bao, T., Liu, Z., & Bland, J. (2019). A multivariate freezing-thawing depth prediction model for spring load restriction. Cold Regions Science and Technology, 167.http://dx.doi.org/10.1016/j.coldregions.2019.102856
Nina Mahmoudian, Adjunct Professor, ME-EM
Underwater acoustic communication has been in use for decades, but primarily for military applications. In recent years, private sectors such as environmental monitoring, off-shore oil and gas exploration, and aquaculture have become interested in its possibilities.
But existing research about underwater acoustic communication networks often relies on human-operated surface ships or cost-prohibitive autonomous underwater vehicles (AUVs). And these cost barriers can limit academic research evaluation to computer simulations, constraining research innovation towards practical applications.
Recognizing the above gap, Michigan Tech Institute of Computing and Cybersystems (ICC) researchers Zhaohui Wang, assistant professor, Electrical and Computer Engineering, and Nina Mahmoudian, adjunct professor, Mechanical Engineering-Engineering Mechanics, saw an opportunity to combine their areas of expertise: for Wang, underwater acoustic communications, for Mahmoudian, low-cost marine robotics and AUVs.
Also part of the research team were PhD student Li Wei, Electrical and Computer Engineering, and post-doc research engineer Barzin Moridian, Mechanical Engineering-Engineering Mechanics. The team also collaborated with scientists at Michigan Tech’s Great Lakes Research Center.
With a $50K seed grant from Electrical and Computer Engineering alumnus Paul Williams ’61, the team took the research beneath the surface to develop a low-cost marine mobile infrastructure and investigate the challenges and possible solutions in engineering a leading-edge AUV communication network.
They broke it down into three areas: the development of low-cost, high-modularity autonomous surface vehicles (ASVs), each equipped with a collection of sensors and serving as surrogates for AUVs; equipping each ASV with an acoustic modem and implementing communication and networking protocols to facilitate underwater communication among the vessels; and conducting field experiments to collect data about the fundamental challenges in mobile acoustic communications and networking among AUVs.
The team’s outcomes included two low-cost, autonomous, on-the-water boats; an experimental data set, data analysis, and preliminary results; a technical paper presented at the 2018 IEEE OES Autonomous Underwater Vehicle Symposium; and a marine mobile wireless networking infrastructure for use in continued research.
Just half of their seed grant has been used, and this summer Wang and Mahmoudian will work to improve the boats and the communications system, and conduct more field research. In addition, they are planning to write two National Science Foundation proposals to take their research even further.
View a summary of the research here.
Seed grant donor Paul Williams is also the benefactor of the Paul and Susan Williams Center for Computer Systems Research, located on the fifth floor of the Electrical Energy Resources Center. The 10,000-square-foot, high-performance computing center—the home of the ICC—was established to foster close collaboration among researchers across multiple disciplines at Michigan Tech
The ICC, founded in 2015, promotes collaborative, cross-disciplinary research and learning experiences in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems. It provides faculty and students the opportunity to work across organizational boundaries to create an environment that mirrors contemporary technological innovation.
Five research centers comprise the ICC. The ICC’s 50 members, who represent 15 academic units at Michigan Tech, are collaborating to conduct impactful research, make valuable contributions in the field of computing, and solve problems of critical national importance.
Visit the ICC website at mtu.edu/icc. Contact the ICC at icc-contact@mtu.edu or 906-487-2518.
Zhen Liu (CEE/MTTI) is Principal Investigator on a project that has received a $90,418 contract with Michigan Department of Transportation. This project is titled “Improved Calculation of Scour Potential in Cohesive Soils and Scour Susceptible Rock.” Brian Barkdoll (CEE) and Stan Vitton (CEE) are co-PI’s on this 14-month project.
Graduate students Chong Cao and Joe Oncken work with researcher Bo Chen (CPS/ME-EM) in the Intelligent Mechatronics and Embedded Systems lab. In the lab, they develop Simulink models for smart city technology — and show how the models shift into real-life testing.
“We develop and validate the controls in our process using a simulation first,” Cao explained, to which Oncken added: “Simulink is just an on-computer simulation software that’s all visual — you put building blocks together — and make an entire model of an electric car, the electrical grid.”
Bo Chen is the Dave House Professor of Mechanical Engineering and Electrical Engineering. Joe Oncken is PhD Graduate Research Assistant in the Department of Mechanical Engineering – Engineering Mechanics; Chong Cao is a PhD Graduate Research Assistant in the Department of Electrical and Computer Engineering.
Research by Kuilin Zhang (CS) was featured in the story “MTU Researchers develop optimization model to fill in the gaps in connected vehicle data in the April 26, 2019, issue of Green Car Congress. View the article here: https://www.greencarcongress.com/2019/04/20190426-mtu.html
By Karen Johnson, ICC Communications Director
Underwater acoustic communication has been in use for decades, but primarily for military applications. In recent years, private sectors such as environmental monitoring, off-shore oil and gas exploration, and aquaculture have become interested in its possibilities.
But existing research about underwater acoustic communication networks often relies on human-operated surface ships or cost-prohibitive autonomous underwater vehicles (AUVs). And these cost barriers can limit academic research evaluation to computer simulations, constraining research innovation towards practical applications.
Recognizing the above gap, Michigan Tech Institute of Computing and Cybersystems (ICC) researchers Zhaohui Wang, assistant professor, Electrical and Computer Engineering, and Nina Mahmoudian, adjunct professor, Mechanical Engineering-Engineering Mechanics, saw an opportunity to combine their areas of expertise: for Wang, underwater acoustic communications, for Mahmoudian, low-cost marine robotics and AUVs.
Also part of the research team were PhD student Li Wei, Electrical and Computer Engineering, and post-doc research engineer Barzin Moridian, Mechanical Engineering-Engineering Mechanics. The team also collaborated with scientists at Michigan Tech’s Great Lakes Research Center.
With a $50K seed grant from Electrical and Computer Engineering alumnus Paul Williams ’61, the team took the research beneath the surface to develop a low-cost marine mobile infrastructure and investigate the challenges and possible solutions in engineering a leading-edge AUV communication network.
They broke it down into three areas: the development of low-cost, high-modularity autonomous surface vehicles (ASVs), each equipped with a collection of sensors and serving as surrogates for AUVs; equipping each ASV with an acoustic modem and implementing communication and networking protocols to facilitate underwater communication among the vessels; and conducting field experiments to collect data about the fundamental challenges in mobile acoustic communications and networking among AUVs.
The team’s outcomes included two low-cost, autonomous, on-the-water boats; an experimental data set, data analysis, and preliminary results; a technical paper presented at the 2018 IEEE OES Autonomous Underwater Vehicle Symposium; and a marine mobile wireless networking infrastructure for use in continued research.
Just half of their seed grant has been used, and this summer Wang and Mahmoudian will work to improve the boats and the communications system, and conduct more field research. In addition, they are planning to write two National Science Foundation proposals to take their research even further.
Download a summary of the research from the ICC website at icc.mtu.edu/downloads.
Seed grant donor Paul Williams is also the benefactor of the Paul and Susan Williams Center for Computer Systems Research, located on the fifth floor of the Electrical Energy Resources Center. The 10,000-square-foot, high-performance computing center—the home of the ICC—was established to foster close collaboration among researchers across multiple disciplines at Michigan Tech
The ICC, founded in 2015, promotes collaborative, cross-disciplinary research and learning experiences in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems. It provides faculty and students the opportunity to work across organizational boundaries to create an environment that mirrors contemporary technological innovation.
Five research centers comprise the ICC. The ICC’s 50 members, who represent 15 academic units at Michigan Tech, are collaborating to conduct impactful research, make valuable contributions in the field of computing, and solve problems of critical national importance.
Visit the ICC website at icc.mtu.edu. Contact the ICC at icc-contact@mtu.edu or 906-487-2518.
At the annual awards banquet of the Michigan Tech Institute of Computing and Cybersysytems (ICC), on Friday, April 12, three ICC members received the ICC Achievement Award in recognition of their exceptional contributions to research and learning in the fields of computing.
Soner Önder, director of the ICC Center for Scalable Architectures and Systems and professor of computer science, was recognized for his research in next-generation architectures. Önder is principal investigator of three National Science Foundation (NSF) grants, and he has three NSF grant proposals under review.
“Soner is one of our very top researchers in terms of research expenditures and new awards,” said Tim Havens, ICC director and the William and Gloria Jackson Associate Professor of Computer Systems. “He is also active in developing and implementing the ICC vision and activities.”
Kevin Trewartha, a member of the ICC’s Center for Human-Centered Computing, was recognized for his interdisciplinary and collaborative research at the intersection of technology and human motor movement. Trewartha is an assistant professor with a dual appointment in the departments of Cognitive and Learning Sciences and Kinesiology and Integrative Physiology.
“Kevin encompasses the best of the ICC vision,” said Beth Veinott, director of the ICC Center for Human-Centered Computing and associate professor of cognitive and learning sciences.
Trewartha is co-principal investigator, with ICC member Shane Mueller, of a new, three-year, interdisciplinary and collaborative project funded by the National Institutes of Health. For this research, Trewartha and Mueller are working with UP Health Systems Portage and five graduate and three undergraduate students to investigate how technology supports earlier diagnosis of the neurodegenerative diseases.
Bo Chen, a member of the ICC’s Center for Cyber-Physical Systems and assistant professor of computer science, was recognized for his teaching and research in cybersecurity of mobile devices.
Chen is the co-PI of two external grants on cybersecurity from the National Science Administration, and he has submitted numerous cybersecurity proposals to NSF, NSA, Microsoft, and Google.
“Dr. Bo Chen has demonstrated achievements and contributions to the mission of the ICC since coming to Michigan Tech as a tenure-track CS faculty in fall ’17,” said ICC members Guy Hembroff and Yu Cai in their nomination, adding that during that short time, “Dr. Chen has published one book, five journal papers, and 10 conference papers, and in 2017 he was awarded a Distinguished Paper Award from the prestigious cybersecurity venue, the Annual Computer Security Application Conference (ACSAC ’17).”
Chen is the faculty coach for the MTU NCL (National Cyber League) cyber competition team, and during the fall 2018 regular season under Chen’s leadership, a Michigan Tech CS undergraduate student placed 36th out of 3,350 players in NCL cyber competition. Dr. Chen was also recently recognized for receiving an exceptional “average of seven dimensions” student evaluation score for his teaching, among additional accolades.
The ICC, founded in 2015, promotes collaborative, cross-disciplinary research and learning experiences in the areas of cyber-physical systems, cybersecurity, data sciences, human-centered computing, and scalable architectures and systems. It provides faculty and students the opportunity to work across organizational boundaries to create an environment that mirrors contemporary technological innovation.
Five research centers comprise the ICC. The ICC’s 50 members, who represent 15 academic units at Michigan Tech, are collaborating to conduct impactful research, make valuable contributions in the field of computing, and solve problems of critical national importance.
Visit the ICC website at icc.mtu.edu. Contact the ICC at icc-contact@mtu.edu or 906-487-2518.
Elena Semouchkina (CPS) is the principal investigator on a project that has received a $337,217 research and development grant from the National Science Foundation (NSF). The project is “Developing Anisotropic Media for Transformation Optics by Using Dielectric Photonic Crystals.” This is a three-year project.
https://doi.org/10.1016/j.coldregions.2019.102856