• Cyber-Physical Sensing, Modeling, and Control with Augmented Reality
  • Missouri Alternate Lane Shift Configurations Analysis
  • Missouri Alternate Merge Sign Configurations Analysis
  • Computational Intelligence Approach to System of Systems Architecting & Analysis
  • RT-44 Enterprise and System of System Modeling Part 3 Phase II

Cyber-Physical Sensing, Modeling, and Control with Augmented Reality


CPS: Synergy: Collaborative Research: Cyber-Physical Sensing, Modeling, and Control with Augmented Reality for Smart Manufacturing Workforce Training and Operations Management


INVESTIGATORS
Ming Leu, Ruwen Qin and Zhaozheng Yin


FUNDING SOURCE

National Science Foundation


PROJECT DESCRIPTION
Smart manufacturing integrates information, technology, and human ingenuity to inspire the next revolution in the manufacturing industry. Manufacturing has been identified as a key strategic investment area by the U.S. government, private sector, and university leaders to spur innovation and keep America competitive. However, the lack of new methodologies and tools is challenging continuous innovation in the smart manufacturing industry. This award supports fundamental research to develop a cyber-physical sensing, modeling, and control infrastructure, coupled with augmented reality, to significantly improve the efficiency of future workforce training, performance of operations management, safety and comfort of workers for smart manufacturing. Results from this research are expected to transform the practice of worker-machine-task coordination and provide a powerful tool for operations management. This research involves several disciplines including sensing, data analytics, modeling, control, augmented reality, and workforce training and will provide unique interdisciplinary training opportunities for students and future manufacturing engineers.

Missouri Alternate Lane Shift Configurations Analysis


Work Zone Simulator Analysis: Driver Performance and Acceptance of Missouri Alternate Lane Shift Configurations

 

Dr. Ruwen Qin Project 2 Image

 

INVESTIGATORS
Suzanna Long (PI), Dincer Konur (Co-PI), Ruwen Qin (Co-PI) and Ming Leu (Co-PI) 


FUNDING SOURCE
Missouri Department ofTransportation, Intelligent Systems Center, and Department of Engineering Management and Systems Engineering at Missouri S&T.


PROJECT DESCRIPTION
This project develops driving scenarios using the Missouri S&T driver simulator for use in the evaluation of a Missouri alternate lane shift sign configuration for work zones. Drivers will complete the scenarios comparing the current Federal Highway Administration (FHWA) approved merge sign configuration with an alternate merge sign configuration proposed by Missouri Department of Transportation (MODOT). Specifically, the project evaluates and compares the driving behavior of different driver categories (grouped based on gender and age range) with MODOT and FHWA signs.


PUBLICATIONS

*this project is still in progress.

Missouri Alternate Merge Sign Configurations Analysis


Work Zone Simulator Analysis: Driver Performance and Acceptance of Missouri Alternate Merge Sign Configurations 

Dr. Ruwen Qin Project 3 Image

 

INVESTIGATORS
Suzanna Long (PI), Dincer Konur (Co-PI), Ruwen Qin (Co-PI) and Ming Leu (Co-PI) 


FUNDING SOURCE
Missouri Department ofTransportation, Intelligent Systems Center, and Department of Engineering Management and Systems Engineering at Missouri S&T.


PROJECT DESCRIPTION
Improving work zone road safety is an issue of great interest due to the high number of crashes observed in work zones. Departments of Transportation (DOTs) use a variety of methods to inform drivers of upcoming work zones. One method used by DOTs is work zone signage configuration. It is necessary to evaluate the efficiency of different configurations, by law, before implementation of new signage designs that deviate from national standards. This research presents a driving simulator based study, funded by the Missouri Department of Transportation (MoDOT) that evaluates a driver’s response to work zone sign configurations. This study has compared the Conventional Lane Merge (CLM) configurations against MoDOT's alternate configurations. Study participants within target populations, chosen to represent a range of Missouri drivers, have attempted four work zone configurations, as part of a driving simulator experience. The test scenarios simulated both right and left work zone lane closures for both the CLM and MoDOT alternatives. Travel time was measured against demographic characteristics of test driver populations. Statistical data analysis was used to investigate the efficiency of different configurations employed in the study. The results of this study were compared to results from a previous MoDOT study.


PUBLICATIONS

  1. Use of traffic simulators to determine driver response to work zone configurations”, Moradpour, S., S.Wu, S. Long, M. C. Leu, D. Konur, R. Qin. 2015. Proceedings of the American Society for Engineering Management 2015 International Annual Conference (Eds. S. Long, E-H. Ng, and A. Squires). 

Computational Intelligence Approach to System of Systems Architecting & Analysis


Computational Intelligence Approach to System of Systems Architecting and Analysis


Dr. Ruwen Qin Project 4 Image

 

INVESTIGATORS
Cihan Dagli (PI, Missouri S&T), Dincer Konur (Co-PI, Missouri S&T, konurd@mst.edu, 573-342-7256), Ruwen Qin (Co-PI, Missouri S&T), Abhijit Gosavi (Co-PI, Missouri S&T), David Enke (Co-PI, Missouri S&T), Nil Ergin (Co-PI, Penn State).

 
FUNDING SOURCE
Department of Defense through Systems Engineering Research Center (a University-Army-Research-Center) at Stevens Institute of Technology.

 
PROJECT DESCRIPTION
Multi-faceted systems of the future will entail complex logic and reasoning with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized. Our quest in this project is to handle complexities, design and operations of these systems. The challenge in Complex Adaptive Systems design is to design an organized complexity that will allow a system to achieve its goals. This report attempts to push the boundaries of research in complexity, by identifying challenges and opportunities. Complex adaptive system-of-systems (CASoS) approach is developed to handle this huge uncertainty in socio-technical systems.

 
PUBLICATIONS

  1. A multi-objective system of systems architecting problem with inflexible and flexible systems: formulation and solution methods” Konur, D., H. Farhangi, C.H. Dagli. 2016. OR Spectrum 38 (4), 967-1006.
  2. Multi-Objective System of Systems Architecting with Performance Improvement Funds” Farhangi, H., D. Konur, C.H. Dagli. 2016. Proceedings of the 2016 Complex Adaptive Systems Conference, Accepted.
  3. Combining Max-Min and Max-Max Approaches for Robust SoS Architecting” Farhangi, H., D. Konur, C.H. Dagli. 2016.  Proceedings of the 2016 Complex Adaptive Systems Conference, Accepted. 
  4. A Separation Method for the Multi-objective Set Covering Problem” Farhangi, H., D. Konur, C.H. Dagli. 2016. Proceedings of the 2016 Industrial and Systems Engineering Research Conference (Eds. H. Yang, Z. Kong, and MD Sarder), Accepted.

 

RT-44 Enterprise and System of System Modeling Part 3 Phase II


RT-44 Enterprise and System of System Modeling Part 3 Phase II

Dr. Ruwen Qin Project 5 Image


INVESTIGATORS
Cihan Dagli (PI, Missouri S&T), Dincer Konur (Co-PI, Missouri S&T, konurd@mst.edu, 573-342-7256), Ruwen Qin (Co-PI, Missouri S&T), Abhijit Gosavi (Co-PI, Missouri S&T), David Enke (Co-PI, Missouri S&T), Nil Ergin (Co-PI, Penn State), John Colombi (Co-PI, Airforce Institute of Technology), Kristin Giammarco (Co-PI, Naval Postgraduate School).


FUNDING SOURCE
Department of Defense through Systems Engineering Research Center (a University-Army-Research-Center) at Stevens Institute of Technology.


PROJECT DESCRIPTION
The goal of this research is to model the evolution of the architecture of an acknowledged System of Systems that accounts for the ability and willingness of constituent systems to support the System of Systems capability development. In particular, the research focuses on the impact of individual system behavior on the System of Systems capability and architecture evolution processes.

 
PUBLICATIONS

  1. Military system of systems architecting with individual system contracts”, Konur, D., C.H. Dagli. 2015. Optimization Letters 9 (8), 1749-1767. 
  2. Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural Evolution in Systems-of- Systems” Siddhartha, A., L.E. Pape, C.H. Dagli, N.K. Ergin, D. Enke, A. Gosavi, R. Qin, D. Konur, R.Wang, R.D. Gottapu. 2015.  Procedia Computer Science 44 (Proceedings of the 2015 Conference on Systems Engineering Research), 76-85. 
  3. On the Flexibility of Systems in System of Systems Architecting” Konur, D., H. Farhangi, C.H. Dagli. 2014. Procedia Computer Science 36C (Proceedings of the 2014 Complex Adaptive Systems Conference), 65-71.