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      • KCI등재

        중수로 원전 주변 환경 및 인체 삼중수소 방사능 모니터링에 관한 고찰

        한상준,이홍연,김보길,하혜경,신용주,SangJun Han,HongYeon Lee,BoGil Kim,HyeKyung Ha,YongJu Sin 한국방사선산업학회 2023 방사선산업학회지 Vol.17 No.4

        As a result of evaluating the level of tritium emitted from the nuclear power plant in the environment and the human body, it was confirmed that tritium was detected in the environmental media and human urine samples to be investigated. It was found that the tritium was clearly detected. After the operation of the Tritium Removal Facility (TRF), which was operated for the purpose of removing tritium from the Wolsong nuclear power plant, the tritium emission showed a decreasing trend, and the tritium level in the environmental media also showed a tendency to decrease accordingly. However, for precise evaluation, it was necessary to select and investigate points by distance, season, and wind direction from the nuclear power plant, but it also showed characteristics that did not reflect this. As the cycle, etc., implemented the previous environmental monitoring program as it is, there was also a limitations in not being able to reflect the changing environment. Therefore, it is necessary to review and supplement the environmental monitoring investigation plan and results so far, and by applying the supplemented investigation plan to secure valid and reliable investigation results, it is judged that it will be an appropriate measure for environmental conservation and human protection in the vicinity of the nuclear power plant.

      • 이기종 프로세서 사용수명을 고려한 신경망 가속 스케쥴링

        황정민(Jeongmin Hwang),정수안(Suan Jung),김보길(Bogil Kim),송진호(William J. Song) 대한전자공학회 2022 대한전자공학회 학술대회 Vol.2022 No.11

        In this paper, we analyze the impact on the lifetime reliability of heterogeneous processors while accelerating neural network execution. Most edge devices are designed with heterogeneous processors that integrate CPUs and accelerators to process vast amounts of data quickly. Although performance has been improved due to device expansion, energy efficiency has been reduced due to increased power and energy consumption. Therefore, lifetime reliability management has become more difficult due to complex processor design structures. As neural networks become more common in various industries, performance, energy efficiency and lifetime reliability management become more important. This paper presents parallel scheduling of CPUs and accelerators in neural networks acceleration, named cooperative scheduling. We propose a method to improve performance while satisfying the required lifetime reliability through adopting a combination of improved scheduling and lifetime reliability management methods during neural network acceleration.

      • 이기종프로세서 사용수명 신뢰성 평가를 위한 모델링 방법론

        정수안(Suan Jung),황정민(Jeongmin Hwang),김보길(Bogil Kim),송진호(William J. Song) 대한전자공학회 2022 대한전자공학회 학술대회 Vol.2022 No.11

        Research and industry have adopted heterogeneous architecture designs to improve performance and energy efficiency of computing systems. However, different types of processing units playing distinct roles complicates the lifetime reliability modeling. It is difficult to estimate system-level lifetime reliability of heterogeneous processors under various design specifications and operating conditions. The paper proposes a framework RelSim for lifetime reliability evaluation of the heterogeneous system. The proposed framework is capable of modeling various designs of heterogeneous processors with a various mix of failure mechanisms and statistical distributions under multiple execution scenarios. The framework is also capable of reliability management schemes. In addition, GPU parallelization accelerates the Monte Carlo simulation. The flexible framework expects users extend research into lifetime reliability.

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