EECS 507 References
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- Example project proposals.
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- Example final research papers started in similar courses.
- B. Zhang, V. Srinivas, Y. Zhang, and R. P. Dick, “LoRa Synchronized Energy-Efficient LPWAN,” in Proc. Int. Conf. Communications, May 2023. Notes: Energy-efficient multi-hop low-power wide-area networking technology for very long-range networks (spanning many 10s of kilometers).
- B. Simpson, E. Lubana, Y. Liu, and R. Dick, “Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision,” in Proc. of the Conf. on Computer Vision and Pattern Recognition Wkshps., June 2020, pp. 724–725. Notes: Change-based video data caching to reduce transfer in energy- and communication-constrained applications. Works better than H.264 in some cases.
- L. Yang, H. Lekatsas, R. P. Dick, and S. Chakradhar, “On-line memory compression for embedded systems,” ACM Trans. Embedded Computing Systems, vol. 9, no. 3, pp. 27:1–27:30, Feb. 2010. Notes: Operating system technique to double
usable memory in embedded systems without changing applications, or hardware,
and with little or no performance or power penalty. NEC uses this
technology in their cellphones.
- S. Kim, R. P. Dick, and R. Joseph, “Power deregulation: eliminating off-chip voltage regulation circuitry from embedded systems,” in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2007, pp. 105–110. Notes: Technique to eliminate power regulation
hardware from embedded chip multiprocessors. 31% acceptance rate for
conference.
- A.-H. Liu and R. P. Dick, “Automatic run-time extraction of communication graphs from multithreaded applications,” in Proc. Int. Conf. Hardware/Software Codesign and System Synthesis, Oct. 2006, pp. 46–51. Notes: Simulator module dynamically determines
communication patterns of arbitrary multi-threaded Linux applications for use in
embedded system synthesis. 25% acceptance rate for conference.
- S. Jevtic, M. Kotowsky, R. P. Dick, P. A. Dinda, and C. Dowding, “Lucid Dreaming: reliable analog event detection for energy-constrained applications,” in Proc. Int. Conf. Information Processing in Sensor Networks, Apr. 2007, pp. 350–359. Notes: Ultra-low-power event detection
sensor interface technology permits 250× reduction in power consumption
for event-driven applications such as structural integrity monitoring of
buildings and bridges. 25% acceptance rate for conference.
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