• 한국전기전자재료학회논문지
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• 제21권3호
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• pp.272-278
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• 2008

This paper investigated the a-si:H gate driver with the stepwise gate signal. In 1-chip type mobile LCD application the stepwise gate signal for low power consumption can be used by adding simple switching circuit. The power consumption of the a-Si:H gate driver can be decreased by employing the stepwise gate signal in the conventional circuit. In conventional one, the effect of stepwise gate signal can decrease slew rate and increase the fluctuation of gate-off state voltage, In order to increase the slew rate and decrease the gate off state fluctuation, we proposed a new a-Si:H TFT gate driver circuit. The simulation data of the new circuit show that the slew rate and the gate-off state fluctuation are improved, so the circuit can work reliably.

• Transactions on Electrical and Electronic Materials
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• 제9권4호
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• pp.137-142
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• 2008

The parasitic resistance is studied to silicon/metal contact junction for improving device performance and to lower contact/serial resistance silicide in natural sequence. In this paper constructs the stepwise Ni silicide process for parasitic resistance reduction for silicon/metal contact junction. We have investigated multi-step Ni silicide on SiGe substrate with stepwise annealing method as an alternative to compose more thermally reliable Ni silicide layer. Stepwise annealing for silicide formation is exposed to heating environment with $5^{\circ}C/sec$ for 10 seconds and a dwelling for both 10 and 30 seconds, and ramping-up and the dwelling was repeated until the final annealing temperature of $700\;^{\circ}C$ is achieved. Finally a direct comparison for single step and stepwise annealing process is obtained for 20 nm nickel silicide through stepwise annealing is $5.64\;{\Omega}/square$ at $600\;^{\circ}C$, and it is 42 % lower than that of as nickel sputtered. The proposed stepwise annealing for Ni silicidation can provide the least amount of NiSi at the interface of nickel silicide and silicon, and it provides lower resistance, higher thermal-stability, and superior morphology than other thermal treatment.

• 한국구조물진단유지관리공학회 논문집
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• 제12권1호
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• pp.91-100
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• 2008

다단계 온도프리스트레싱 공법은 기존의 프리스트레싱 공법과 단면접합공법의 장점을 이용한 새로운 개념의 프리스트레싱 공법으로 프리스트레싱용 커버플레이트를 다단계로 가열하여 거더의 하부플랜지에 고장력볼트로 접합한 뒤, 열원을 제거하여 발생하는 다단계 수축력을 보강에 필요한 프리스트레싱력으로 이용한 공법이다. 본 연구는 다단계 온도프리스트레싱 공법의 실제적인 적용성 평가를 위하여 다단계 가열을 위한 가열 장비의 가열성능 평가 실험을 실시하였으며, 라멘형 강거더 임시교량을 제작하고 다단계 온도프리스트레싱 공법을 적용하여 도입 프리스트레싱력을 확인하였다. 또한, 트럭을 이용한 하중재하 실험을 실시하여 구조해석 결과와 비교하였다.

• 한국강구조학회 논문집
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• 제18권6호
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• pp.783-792
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• 2006

본 연구는 압연형강이나 조립형강과 같은 강구조물의 지간증가나 하중 증가로 큰 휨강성이 필요한 경우 상부플랜지나 하부플랜지에 부착하여 구조물의 하중저항성능을 향상시켜주는 커버플레이트의 온도변형을 이용한 프리스트레싱 도입 방법의 개발에 관한 것으로 다단계 온도변형이 도입된 커버플레이트를 프리스트레싱 도입을 위한 구조물에 강결한 후 커버플레이트의 수축으로 발생하는 다단계 수축력을 프리스트레싱력으로 이용하는 방법이다. 본 연구에서는 온도변형에 의하여 구조물에 도입되는 프리스트레싱력의 이론적 연구와 다단계 온도변형을 이용한 다단계 프리스트레싱 기법의 도입을 위하여 커버플레이트의 다단계 온도분포에 대한 열전달 이론해의 제시와 H형강을 대상으로 다단계 온도변형에 의한 다단계 프리스트레스 도입 효과를 분석하였다.

• 품질경영학회지
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• 제47권1호
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• pp.33-46
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• 2019

Purpose: This study proposed a DEA (Data Envelopment Analysis)-based stepwise benchmarking target selection for inefficient DMU (Decision Making Unit) to improve its efficiency gradually to reach most efficient frontier considering resource (DEA inputs and outputs) improvement preferences. Methods: The proposed method proceeded in two steps. First step evaluates efficiency of DMUs by using DEA, and an evaluated DMU selects benchmarking targets of HCU (Hypothesis Composit Unit) or RU (Real Unit) considering resource improvement preferences. Second step selects stepwise benchmarking targets of the inefficient DMU. To achieve this, this study developed a new DEA model, which can select a benchmarking target of an inefficient DMU in considering inputs or outputs improvement preference, and suggested an algorithm, which can select stepwise benchmarking targets of the inefficient DMU. Results: The proposed method was applied to 34 international ports for validation. In efficiency evaluation, five ports was evaluated as most efficient port, and the remaining 29 ports was evaluated as relative inefficient port. When port 34 was supposed as evaluated DMU, its can select its four stepwise benchmarking targets in assigning the preference weight to inputs (berth length, total area of pier, CFS, number of loading machine) as (0.82, 1.00, 0.41, 0.00). Conclusion: For the validation of the proposed method, it applied to the 34 major ports around the world and selected stepwise benchmarking targets for an inefficient port to improve its efficiency gradually. We can say that the proposed method enables for inefficient DMU to establish more effective and practical benchmarking strategy than the conventional DEA because it considers the resource (inputs or outputs) improvement preference in selecting benchmarking targets gradually.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.413-422
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• 2000

Samples of banana were dried in a two-stage heat pump dryer capable of producing stepwise control of the inlet drying air temperature while keeping absolute humidity constant. Two stepwise air temperature profiles were tested. The incremental temperature step change in temperature of the drying air about the mean air temperature of 30 $^{\circ}C$ was 5 $^{\circ}C$. The total drying time for each temperature-time profile was about 300 minutes. The drying kinetics and color change of the products dried under these stepwise variation of the inlet air temperature were measured and compared with constant air temperature drying. The stepwise air temperature variation was found to yield better quality product in terms of color of the dried product. Further, it was found that by employing a step-down temperature profile, it was possible to reduce the drying time to reach the desired moisture content.

• 한국약용작물학회지
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• 제22권2호
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• pp.134-139
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• 2014

This study was to investigate the improvement of immune activities of the extracts from Codonopsis lanceolata by stepwise steaming process and high pressure process. The phenol contents was $8.742{\mu}g/mg$ which was higher than that from conventional extraction using 70% ethyl alcohol at $80^{\circ}C$ for 24 hours. All of extracts at a concentration of $1.0mg/m{\ell}$ showed relatively low cytotoxicity on human normal kidney cell (HEK293) in range of 16 19%. The immune B and T cell growth was improved by extracts using the steamed and high pressure precess of C. lanceolata up to $180{\times}10^4cells/m{\ell}$ and $96{\times}10^4cells/m{\ell}$, respectively. The extract prepared also greatly increased the secretion of both IL-6 and TNF-${\alpha}$ from the stepwise steamed and high pressure process. This results can conclude that stepwise steamed and high pressure process effectively released active biomaterials which could important role in enhancing immune activity in the body.

• Journal of the Korean Statistical Society
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• 제16권2호
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• pp.102-112
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• 1987

This paper treats the problem of estimating an arbitrary parametric function in the case when the parameter and sample spaces are countable and the decision space is arbitrary. Using the notions of a stepwise Bayesian procedure and finite admissibility, a theorem is proved. It shows that under some assumptions, every finitely admissible estimator is unique stepwise Bayes with respect to a finite or countable sequence of mutually orthogonal priors with finite supports. Under an additional assumption, it is shown that the converse is true as well. The first can be also extended to the case when the parameter and sample space are arbitrary, i.e., not necessarily countable, and the underlying probability distributions are discrete.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.475-476
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• 2015

전력수요는 다양한 외부요인으로부터 영향을 받으므로 전력수요 예측 시 각 요인과의 상관관계를 고려할 필요가 있다. 본 논문은 Stepwise 다중회귀분석법을 이용한 일일 최대전력수요 예측 방법을 제시하였다. 사례연구에서는 2014년 평일 전력수요데이터를 이용하여 제안된 예측방법을 적용하고 그 결과를 평가하였다.

• 대한수학회보
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• 제59권2호
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• pp.507-528
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• 2022

We propose a path integral method to construct a time stepwise local volatility for the stock index market under Dupire's model. Our method is focused on the pricing with the Monte Carlo Method (MCM). We solve the problem of randomness of MCM by applying numerical integration. We reconstruct this task as a matrix equation. Our method provides the analytic Jacobian and Hessian required by the nonlinear optimization solver, resulting in stable and fast calculations.