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C
R. Bhadani and Djordjevic, I. B., Constellation Optimization for Phase-Shift Keying Coherent States With Displacement Receiver to Maximize Mutual Information, IEEE Access, vol. 8, pp. 224409–224419, 2020.
M. J. Eklund, Bajcsy, R., Sprinkle, J., and Simpson, G. V., Computing Inverse MEG Signals in the Brain, in 2005 IEEE Computational Systems Bioinformatics Conference, Controlling Complexity, 2005, pp. 332–335.
C. P. van Buskirk, Dawant, B., Karsai, G., Sprinkle, J., Szokoli, G., Suwanmongkol, K., and Currer, R., Computer-aided aircraft maintenance scheduling, 2002.
K. Zhang, Sprinkle, J., and Sanfelice, R. G., Computationally-Aware Switching Criteria for Hybrid Model Predictive Control Of Cyber-Physical Systems, IEEE Transactions on Automation Science and Engineering, vol. 13, pp. 479-490, 2016.
K. Zhang, Sprinkle, J., and Sanfelice, R. G., Computationally-Aware Control of Autonomous Vehicles: A Hybrid Model Predictive Control Approach, Autonomous Robots, pp. 503-517, 2015.
Á. Lédeczi, Bakay, Á., Maroti, M., Volgyesi, P., Nordstrom, G., Sprinkle, J., and Karsai, G., Composing Domain-Specific Design Environments, IEEE Computer, vol. 34, pp. 44–51, 2001.
R. Poovendran, Rajkumar, R., Corman, D., Paunicka, J., Milam, W. P., K Prasad, V., Wang, S., Barhorst, J., Gill, C., Gupta, S., Sampigethaya, K., Sprinkle, J., Stuart, D., Wolf, W., and Mangharam, R., A Community Report of the 2008 High Confidence Transportation Cyber-Physical Systems (HCTCPS) Workshop, 2009.
W. Anderson, Aponik, A., Daoud, Y., Teku, N., Vanhoy, G., and Bose, T., Cognitive Engine Testbed for Vehicular Communications, in CAT Vehicle Research Experience for Undergraduates, Tucson, Arizona, 2018.PDF icon Cognitive Engine Testbed for Vehicular Communications.pdf (1.69 MB)
K. Zhang and Sprinkle, J., A Closed-loop Model-based Design Approach Based On Automatic Verification and Transformation, in The 14th Workshop on Domain-Specific Modeling, 2014, pp. 1-6.
S. Whitsitt, Barreto, A., Ram, S., Al-Helal, H., Hudson, M., Chu, D., Sprinkle, J., and Didan, K., Citizen Science in Support of Vegetation Index and Phenology Research, in Phenology Research and Observations of Southwest Ecosystems Symposium (PROSE), 2010.
R. Bhadani, Sprinkle, J., and Bunting, M., The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications, in Proceedings 2nd International Workshop on Safe Control of Autonomous Vehicles (SCAV 2018), Porto, Portugal, Electronic Proceedings in Theoretical Computer Science , 2018, vol. 269.PDF icon CAT Vehicle Testbed Slides (5.53 MB)
M. Nice, Elmadani, S., Bhadani, R., Bunting, M., Sprinkle, J., and Work, D., CAN Coach: Vehicular Control through Human Cyber-Physical Systems, in Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical Systems, New York, NY, USA, 2021.
A
E. Jones and Sprinkle, J., autoVHDL: a domain-specific modeling language for the auto-generation of VHDL core wrappers, in Proceedings of the compilation of the co-located workshops on DSM’11, TMC’11, AGERE!’11, AOOPES’11, NEAT’11, &\#38; VMIL’11, New York, NY, USA, 2011, pp. 71–76.
M. L. Delle Monache, Sprinkle, J., Vasudevan, R., and Work, D., Autonomous vehicles: From vehicular control to traffic control, in 2019 IEEE 58th Conference on Decision and Control (CDC), 2019.
K. Zhang and Sprinkle, J., Automobile Localization with Commodity Sensors, (under review).
S. Whitsitt, Automatic Verification of Dynamic Constraints in LTI Control Systems Through Model Transformations, in NSF Young Professionals Workshop on Exploring New Frontiers in Cyber-Physical Systems, Washington, DC, 2014.
J. Gulotta, Automatic Optimization of Models Using Metamodels, University of Arizona, 2010.
D. Chu, Sprinkle, J., Randall, R., and Shkarayev, S., Automatic Control of VTOL Micro Air Vehicle During Transition Maneuver, in AIAA Guidance, Navigation and Control Conference, 2009, p. 16 pages.
A. Milakovich, Gopinath, V., Lysecky, R., and Sprinkle, J., Automated Software Generation and Hardware Coprocessor Synthesis for Data-Adaptable Reconfigurable Systems, in Engineering of Computer Based Systems (ECBS), 2012 IEEE 19th International Conference and Workshops on, 2012, pp. 15-23.
A. Lizarraga, Sprinkle, J., and Lysecky, R., Automated Model-based Optimization of Data-Adaptable Embedded Systems, ACM Transactions on Embedded Computing Systems, vol. 19, no. 1, p. 22 pages, 2019.
F. Wu, Stern, R. E., Cui, S., Monache, M. Laura Dell, Bhadani, R., Bunting, M., Churchill, M., Hamilton, N., Wu, F., Piccoli, B., Seibold, B., Sprinkle, J., and Work, D. B., The Arizona Ring Experiments Dataset (ARED). 2018.
G. Gunter, Gloudemans, D., Stern, R. E., McQuade, S., Bhadani, R., Bunting, M., Monache, M. Laura Dell, Seibold, B., Sprinkle, J., Piccoli, B., and Work, D. B., Are commercially implemented adaptive cruise control systems string stable?, IEEE Transactions on Intelligent Transportation Systems, p. 12 pages, 2020.
S. Nordstrom, Shetty, S., Chhokra, K. Guarav, Sprinkle, J., Eames, B., and Lédeczi, Á., ANEMIC: Automatic Interface Enabler for Model Integrated Computing, Lecture Notes in Computer Science, vol. 2830, pp. 138–150, 2003.
S. Nordstrom, Shetty, S., Chhokra, K. Guarav, Sprinkle, J., Eames, B., and Lédeczi, Á., ANEMIC: Automatic Interface Enabler for Model Integrated Computing, in Generative Programming and Component Engineering (GPCE ’03), 2003.
J. Sprinkle, Analysis of a metamodel to estimate complexity of using a domain-specific language, in Proceedings of the 10th Workshop on Domain-Specific Modeling, New York, NY, USA, 2010, pp. 13:1–13:6.
T. Miller, Ross, C., Barbosa, M. Marques, Hirzallah, M., Volos, H., and Sprinkle, J., Adaptive Multifactor Routing with Constrained Data Sets, in Wireless Innovation Forum Conference on Wireless Communication Technologies and Software Defined Radio (WInnComm), San Diego, CA, 2015.
H. Mason, Bentley, L., MacInnes, J., Bhadani, R., and Bose, T., Adaptive HSL Filters and Inverse Perspective Transforms in Lane Detection for Autonomous Driving, in CAT Vehicle REU, 2019.PDF icon AdaptiveHSLInversePerspective (1.86 MB)