• 한국전산유체공학회지
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• 제4권2호
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• pp.39-46
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• 1999

The FVM(Finite Volume Method) have been used mainly for the flow analyses in the piston-cylinder. The objective of the present study is to analyze numerically the piston-driven intake flows using the FEM(Finite Element Method). The FEM algorithm used in this study is 4-step time-splitting method which requires much less execution time and computer storage than the velocity-pressure integrated method and the penalty method. And the explicit Lax-Wendroff scheme is applied to nonlinear convective term in the momentum equations to prevent checkerboard pressure oscillations. Also, the ALE(arbitrary Lagrangian Eulerian) method is adopted for the moving grids. The calculated results show good agreement in comparison with those by the FVM and the experimental results by the LDA.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2000년도 춘계학술대회논문집B
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• pp.51-56
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• 2000

The Finite Element Solutions Is reported on solid-liquid phase change in porous media with natural convection including freezing. The model is based on volume averaged transport equations, while phase change is assumed to occur over a small temperature range. The FEM (Finite Element Method) algorithm used in this study is 3-step time-splitting method which requires much less execution time and computer storage the velocity-pressure integrated method and the penalty method. And the explicit Lax-Wendroff scheme is applied to nonlinear convective term in the energy equation. For natural convection including melting and solidification the numerical results show reasonable agreement with FDM (Finite Difference Method) results.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.484-484
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• 2000

The problem of determining the proper size of an neural network is recognized to be crucial, especially for its practical implications in such important issues as learning and generalization. Unfortunately, it usually is not obvious what size is best: a system that is too snail will not be able to learn the data while one that is just big enough may learn the slowly and be very sensitive to initial conditions and learning parameters. One popular technique is commonly known as pruning and consists of training a larger than necessary network and then removing unnecessary weights/nodes. In this paper, a new pruning method is developed, based on the penalty-term methods. This method makes the neural network good for the generalization and reduces the retraining time after pruning weights/nodes.

• 대한안전경영과학회지
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• 제1권1호
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• pp.19-28
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• 1999

This paper presents the safety management model, which is appropriate for small-to-medium enterprises that rank the highest disaster rate. It is required for these companies to modify and improve the safety-related articles and it is peformed to compare and analyze the industrial disasters and safety management systems between large enterprises and small-to-medium enterprises. The basic direction of change of industrial safety healthy system must be classified to the dual direction. For large enterprises, it is focused on not pre-regulations but post-regulations based on the self-control safety management system. But for small-to-medium enterprises, it is required to intensify the safety management system and the safety responsibility for owners or administrators. Specially, the responsibility for disaster must be more strengthened by the penalty and the insurance method, and then it must be performed not only the financial support of government but also middle and long-term technical support by private safety organizations.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 1999년도 추계학술대회
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• pp.73-82
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• 1999

This paper presents the safety management model, which is appropriate for small-to-medium enterprises that rank the highest disaster rate. It is required for these companies to modify and improve the safety-related articles and it is performed to compare and analyze the industrial disasters and safety management systems between large enterprises and small-to-medium enterprises. The basic direction of change of industrial safety healthy system must be classified to the dual direction. For large enterprises, it is focused on not pre-regulations but post-regulations based on the self-control safety management system. But for small-to-medium enterprises, it is required to intensify the safety management system and the safety responsibility for owners or administrators. Specially, the responsibility for disaster must be more strengthened by the penalty and the insurance method, and then it must be performed not only the financial support of government but also middle and long-term technical support by private safety organizations.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.42.3-42
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• 2001

A human is an expert in manipulation. We have acquired skills to perform dexterous operations based upon knowledge and experience attained over a long period of time. It is important in robotics to understand these human skills, and utilize them to bring about better robot control and operation It is hoped that the neurocontroller can be trained and organized by simply presenting human teaching data, which implicate human intention, strategy and expertise. In designing a neurocontroller, we must determine the size of neurocontroller. Improper size may not only incur difficulties in training neural nets, e.g. no convergence, but also cause instability and erratic behavior in machines. Therefore, it is necessary to determine the proper size of neurocontroller for human control transfer. In this paper, a new pruning method is developed, based on the penalty-term methods. This method makes ...

• Communications for Statistical Applications and Methods
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• 제30권2호
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• pp.149-162
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• 2023

The ℓ₁-trend filtering method is one of the most widely used methods for extracting underlying trends from noisy observations. Contrary to the Hodrick-Prescott filtering, the ℓ₁-trend filtering gives piecewise linear trends. One of the advantages of the ℓ₁-trend filtering is that it can be used for identifying change points in piecewise linear trends. However, since the ℓ₁-trend filtering employs total variation as a penalty term, estimated piecewise linear trends tend to be biased. In this study, we demonstrate the biasedness of the ℓ₁-trend filtering in trend level estimation and propose a two-stage bias-reduction procedure. The newly suggested estimator is based on the estimated change points of the ℓ₁-trend filtering. Numerical examples illustrate that the proposed method yields less biased estimates for piecewise linear trends.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.784-785
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• 2024

형량 예측 연구는 법률 인공지능에서 가장 활발히 연구되고 있는 분야 중 하나이며, 비법률전문가의 사법 신뢰도 상승과 법률전문가의 업무 부담 완화에 긍정적 영향을 줄 수 있다. 본 연구는 형사 사건의 양형 예측에 ChatGPT 를 접목하여 입력된 사실관계와 유사한 선행 판례를 검색함으로써 형량 예측에 필요한 모델의 훈련 시간과 비용을 절감하는 접근법을 제안한다. 본 모델의 weighted F1-score 는 0.53 으로, 미세조정된 BERT 모델과 유사한 성능을 기록하였다.

• 한국건설관리학회논문집
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• 제17권1호
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• pp.119-127
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• 2016

최근 (구)건설기술관리법이 전면개정되어 2014년 5월 23일부터 건설기술 진흥법으로 새롭게 발효되었다. 동 법의 전면개정에도 불구하고, 기존 법률의 벌칙 조항 대부분은 변경이 없이 존치되었다. 특히 동 법 제85조 제1항에는 건설기술용역업자와 건설기술자가 성실, 정당 업무 의무를 위배하여 구조물의 주요 부분을 손괴하여 그 결과로 사람의 신체를 상하게 하거나 생명을 잃게 하였을 경우, 무기 혹은 3년 이상의 징역에 처하는 중한 형벌을 규정하고 있다. 본 조항의 경우 그 명확성 및 형벌의 경중의 적정성에 대하여 논란이 계속되어 왔다. 본 연구는 해당 조항의 특징과 그 적용범위를 명확히 하고, 본 조의 죄형법정주의 위반 여부 등에 대하여 분석을 가함으로써 본 조항의 개선점 등을 토론할 수 있는 이론적 배경 제시를 그 목적으로 한다. 이를 위해, 건설기술 진흥법 해당 조항을 행정법, 형법 등 상위 기본법에 비추어 분석하였고, 관련 판례, 헌법례 등 연관 사례를 수집하였으며, 기타 국내의 법률 중 유사한 사항을 규율하는 법률과의 비교를 수행하였다. 본 연구를 통해, 향후 우리나라의 건설용역업 및 건설산업 전체를 규율하는 법률 내의 각 세부조항에 대한 논의가 더욱 활성화되기를 기대하며, 향후 기타 벌칙 규정 및 관련 법률의 체계화, 선진화 등을 위한 중장기적이고 통합적인 연구가 지속되어야 할 것으로 판단된다

• The Plant Pathology Journal
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• 제31권3호
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• pp.305-309
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• 2015

After four years of cold storage, dimethachlon resistance of two laboratory-induced resistant Sclerotinia sclerotiorum isolates SCG7 and LA50 declined by 99.5% and 98.9%, respectively, and cross resistance to iprodione and procymidone also declined dramatically. Along with the decline of fungicide resistance, osmotic sensitivity to sodium chloride and glucose decreased tremendously; mycelial growth rate, sclerotia number and weight per potato dextrose agar (PDA) plate increased on average by 118.6%, 85. 5% and 64.5%, respectively; and virulence to detached leaves of oilseed rape increased by 72.7% on average. Significant negative correlations were detected between dimethachlon resistance levels and mycelial growth rate on PDA (r = -0.980, P = 0.021), and between resistance levels and lesion diameters on detached leaves of oilseed rape plants (r = -0.997, P = 0.002). These results have profound implications for assessing the potential risk for resistance development to dicarboximide fungicides in S. sclerotiorum.