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Creators/Authors contains: "Wan, Tutu"

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  1. ; ; ; ; ; ; (, 2020 IEEE International Symposium on Circuits and Systems (ISCAS))
    null (Ed.)
    Full Text Available 
  2. ; ; ; (, IEEE Transactions on Very Large Scale Integration (VLSI) Systems)
    Full Text Available 
  3. ; ; ; (, Proceedings of the IEEE International Symposium on Circuits and Systems)
    Full Text Available 
  4. ; ; (, Government Microcircuit Applications & Critical Technology Conference,)
    Hardware security is a critical challenge for various emerging applications in the massive deployment of IoT devices due to lack of computing resources. In this paper, an energy- efficient AC computing methodology is proposed to facilitate lightweight encryption in RF powered devices such as RFIDs. Contrary to conventional methods that rely on rectification and regulation, the wirelessly harvested AC signal is directly used to drive the data processing circuity by leveraging charge- recycling mechanism. To quantify the advantages of the proposed framework, SIMON block cipher, a lightweight cryptography al- gorithm, is implemented in both AC computing and conventional methods. The simulation results demonstrate that the proposed methodology achieves up to 34 times reduction in power and enables a relatively powerful encryption core to be embedded within resource-constrained IoT devices. 
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    Accepted Manuscript Full Text Available
  5. ; ; ; (, Proceedings - IEEE International Symposium on Circuits and Systems)
    Charge-recycling based AC computing has recently been proposed to significantly increase energy efficiency in wirelessly powered devices. The power consumption is reduced by 1) eliminating the rectification and regulation stages of traditional DC computing and 2) recycling charge through AC computing. An alternative charge-recycling mechanism is proposed in this paper that does not require a phase shifter or peak detector, thereby reducing the overhead power consumption. Simulation results in 45 nm technology demonstrate that an additional 60% reduction in power consumption can be achieved while operating at the same frequency. As compared to the traditional case, power consumption is reduced by more than an order of magnitude. 
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    Accepted Manuscript Full Text Available
  6. ; ; ; (, IEEE Embedded Systems Letters)
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