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    地点別限界価格に基づく送電系統の運用計画

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    横浜国立大学博士(工学

    Power-Efficient and Small-Area Approximate Multiplier Design with FPGA-Based Compressors

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    Approximate computing has become an emerging technique to reduce power consumption. In numerous applications, multiplication is a crucial operation, designing it for approximation is effective in optimizing system performance. In this paper, we propose low-power FPGA-based multipliers by employing the novel compressor designs. Given that the compressor is the primary unit in the multiplier, we introduce novel exact and approximate compressors with low-complexity circuits to parallelly accumulate the elements. To flexibly configure the proposed compressors, a compressor-based once-through structure is proposed to 8×8 multipliers. Two variants of the approximate multipliers are provided with different accuracy-hardware trade-offs. Compared with the exact multiplier, the proposed approximate multiplier reduces power by 57.90%, area by 33.80%, and delay by 24.78%. With a similar accuracy loss, the proposed designs save more hardware resources than others. In addition, the effectiveness of approximate multipliers is assessed in image sharpening.2024 IEEE International Symposium on Circuits and Systems (ISCAS) Date of Conference: 19-22 May 202

    Optimization Framework of Reduction Gear for Construction Vehicle based on Tooth Profile Crowning

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    The need for optimized reduction gear is crucial for the development of high-performance construction vehicles. Previous research endeavored to optimize gearbox efficiency through the optimization of key parameters, including the number of teeth, profile shift coefficient, and center distance. Nonetheless, a significant portion of efficiency decrement stems from the phenomenon of slip occurring between the engaging teeth during meshing. In the present study, the tooth profile of an involute gear was subject to modification using a newly proposed profile crowning technique. The proposed involute-like profile crowning enhances the performance of the gear in terms of average efficiency, even under heavy loads causing deformation. Through transient finite element analysis, the optimal magnitude of this modification was determined. Initially, the theoretical determination of the reference gear train efficiency yielded a value of 98.37%, a result that was subsequently validated in the analysis assuming a rigid body. However, in practical scenarios, the presence of minor deformations at the tooth interface adversely affects the efficiency, resulting in a reduced value of 98.18% and 97.99% as indicated by the analysis. Assuming a constant coefficient of friction, the tooth modification improved the efficiency to 98.48%, 98.27% and 98.09% for rigid and flexible bodies respectively. Further investigation could be made from the analysis of the loss at the contacting surfaces of the gear teeth.2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) Boston, MA, USA 15-19 July 202

    Research on the Appropriate Use of Machine Learning in Cyber Security Domain

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    横浜国立大学博士(情報学

    A Study on Spoofed E-mail and Security Awareness Training

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    横浜国立大学博士(情報学

    確率的演算に基づく超伝導ニューロインスパイアドシステム

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    横浜国立大学博士(工学

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