• LBRM for Real-Time Campus Pedestrian Density Monitoring and Control
  • Towards More Practical Analysis of Mixed-Criticality RealTime Cyber-Physical Sys

LBRM for Real-Time Campus Pedestrian Density Monitoring and Control


Location-Based Route Management for Real-Time Campus Pedestrian Density Monitoring and Control

Dr. Zhishan Guo Project 1

INVESTIGATORS 
Haoyi Xiong, Zhishan Guo (guozh@mst.edu, 573-341-4974)


FUNDING SOURCE
Missouri S&T

PROJECT DESCRIPTION
The proposed project intends to develop a novel location-based route management (LBRM) system for smart campus that can benefit both students and campus administrators, through (1) shortening the waiting time of campus services (e.g., food service in the lunch rush), (2) facilitating the transitions inside the campus (e.g., route between two lecture buildings during a tight break), and (3) enhancing the resilience of the campus under emergent conditions (e.g., nearest safe place navigation during the tornado). The major significance of the proposed project is to leverage the LBRM as a possible way to monitor the pedestrian density/flows inside the campus and reshape the mobility through route recommendation. This project well fits President Obama’s CS4All call and the Missouri S&T Smart Living Initiative.


PUBLICATIONS (PRELIMINARY)

  1. Sensus: a cross-platform, general-purpose system for mobile crowd sensing in human-subject studies,”  H. Xiong, et al. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 415–426. ACM, 2016.
  2. “icrowd: Near-optimal task allocation for piggyback crowd sensing,” H. Xiong, et al. IEEE Transactions on Mobile Computing, 15(8):1–1, 2016.

Towards More Practical Analysis of Mixed-Criticality RealTime Cyber-Physical Sys


Towards More Practical Analysis of Mixed-Criticality Real-Time Cyber-Physical Systems

Dr. Zhishan Guo Project 2

INVESTIGATORS
Zhishan Guo(guozh@mst.edu, 573-341-4974), Mohammad Al Faruque, Sanjoy Baruah (Advisor)


FUNDING SOURCE
Missouri S&T


PROJECT DESCRIPTION
Mixed criticalities (MC), as defined in an NITRD white paper, is the concept of allowing applications at different levels of criticality to interact and co-exist on the same computational platform. It is identified as a major challenge and need in today’s embedded systems design, not only by the academia including IEEE TCRTS, ACM SIGBED, and Euromicro RTS, but also by government organizations and the industry, as demonstrated by the Mixed Criticality Architecture Requirements (MCAR) program lead by AFRL, NSF, NSA, NASA, etc. No matter how fast is a computing unit, real-time scheduling analysis provides the guarantee of certain timely manner for executions of safety-critical functionalities prior to run time. The general goal of this project is to initiate a research program in real-time cyber-physical systems at MST. Specifically, we wish to (1) establish new real-time system models for various applications including smart grids, autonomous cars, battery cells & electric vehicles, etc. (as shown above), (2) come up with “smart” schedulers in the sense of resource efficiency and application specific, (3) provide both analytical results and simulation studies of such systems, (4) establish future funding opportunities. This project well fits President Obama’s CS4All call and the Missouri S&T Smart Living Initiative.


PUBLICATIONS (PRELIMINARY)

  1. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors,” Sanjoy Baruah, Alan Burns, and Zhishan Guo. Proceedings of the 28th EuroMicro Conference on Real-Time Systems (ECRTS'16), Toulouse, France, July 2016.
  2. A neurodynamic approach for real-time scheduling via maximizing piecewise linear utility,” Zhishan Guo and Sanjoy Baruah. IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 238-248, 2016.
  3. MC-Fluid: simplified and optimally quantified,” Sanjoy Baruah*, Arvind Easwaran*, and Zhishan Guo*. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS'15), San Antonio, USA, Dec. 2015.
  4. Uniprocessor EDF scheduling of AVR task systems,” Zhishan Guo and Sanjoy Baruah. Proceedings of the 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'15), Seattle, WA. April 2015.
  5. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying speed processor,” Sanjoy Baruah and Zhishan Guo. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS'14), Rome, Italy, Dec. 2014.
  6. Implementing mixed-criticality systems upon a preemptive varying-speed processor,” Zhishan Guo and Sanjoy Baruah. Leibniz Transactions on Embedded Systems (LITES), vol. 1, issue 2, pp. 3:1-3:19. Leibniz-Zentrum für Informatik, 2014.
  7. Mixed-criticality scheduling upon varying-speed processors,” Sanjoy Baruah* and Zhishan Guo*. Proceedings of the 34th IEEE Real-Time Systems Symposium (RTSS'13), Vancouver, Canada, Dec. 2013.