• 대한산업공학회지
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• 제39권4호
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• pp.290-297
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• 2013

The increasing level of operation in high-tech industry is likely to require ever more complex structure in reliability problem. Furthermore, system failures are more significant on society as a whole than ever before. Reliability redundancy optimization problem (RROP) plays a important role in the designing and analyzing the complex system. RROP involves selection of components with multiple choices and redundancy levels for maximizing system reliability with constraints such as cost, weight, etc. Meanwhile, previous works on RROP dealt with system with perfect failure detection, which gave at most a good solution. However, we studied RROP with imperfect failure detection and switching. Using absorbing Markov Chain, we present not a good solution but the optimal one. In this study, the optimal system configuration is designed with warm and cold-standby redundancy for k-out-of-n system in terms of MTTF that is one of the performance measures of reliability.

• 한국정보통신학회논문지
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• 제18권3호
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• pp.586-594
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• 2014

수중 통신 상에서 가장 중요한 요소는 한정된 전원을 보다 효율적으로 소모하여 운영 가능 시간을 최대화하는데 있다. 보다 효율적인 전압 소모를 위해 적용 가능한 기법으로는 동적 전압 스케일 기법이 있다. 해당 기법은 평상시에는 낮은 주파수로 동작하여 대기 전력을 최소화하며 복잡한 연산을 수행하는 경우에는 빠른 주파수로 계산함으로써 전체 소모되는 전력량을 줄인다. 복잡한 암호화 연산의 경우 빠른 주파수로 연산을 하는 것이 보다 효율적이다. 본 논문에서는 다양한 센서 상에서의 암호화 기법에 동적 전압 스케일 기법을 적용한 결과를 보여 줌으로써 수중 통신 상에서 적합한 저전력 암호화 방안에 대해 살펴본다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.500-504
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• 2008

The objective of this paper is to evaluate the feasibility of using an optimization model as a effective way to search conjunctive operation scheme to meet two conditions; one is to minimize the electric cost for pumping and another is to meet the water demand for satisfying customers. The feasibility is confirmed as comparing the best combinations of pumps between multi-regional water supply networks from multiple sources which are obtained through an optimization modeling and EPAnet modeling. KModsim model, a network optimization model, was used to determine conjunctive operation scheme in the pipe system. KModsim, based on Lagrangian Relaxation algorithm, is useful for modeling network system and obtaining simultaneously pump combination and water allocation with given input option such as energy unit cost supplying from a source into a consumer, operating pumping combination. This study develops the procedure of determining optimal conjunctive operation scheme with using KModsim model. As a study region, the water supplying systems of the Geojae-city in the Geongsang Namdo Province was selected and investigated. The EPAnet hydraulic simulation result(Ryu et al, 2007, KSWW) gave input data for optimization model; energy unit price(won/$m^3$), water service available area etc.. It was assured that the combination of pump operation through optimum conjunctive operation is to be optimum scheme to obtain the best economic water allocation with comparison to the hydraulic simulation result such as electric cost and pump combination cases. The results obtained through the study are as follows. First, It was found that a well-allocated water supply scheme, the best combination of pump operation through optimum joint operation, promises to save the electric cost and satisfy all operational goals such as stability and revenues during the period. Second, an application of KModSim, a network model, gave the amount of water allocation from each source to a consumer with consideration of economic supply. Finally, in a service area available to supply through conjunctive operation of existing inter-regional water supply networks within short distance, a conjunctive operation is useful for determining each transmission pipeline's service area and maximizing the effectiveness of optimizations in pumping operation time.

• Journal of Yeungnam Medical Science
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• 제41권1호
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• pp.48-52
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• 2024

While simultaneous bilateral partial nephrectomy with a conventional multiport robot has been consistently reported since the 2010s, the introduction of the DaVinci SP system (Intuitive Surgical, Sunnyvale, CA, USA) could provide a novel way to perform surgery on bilateral kidneys while innovatively reducing the number of incisions. In our first report worldwide, the patient with bilateral small renal mass (2.0 cm for the left and 1.5 cm for the right side) and preoperative normal renal function was placed in the lateral decubitus position on an inverted bed. After tilting the bed to be as horizontal as possible, a 4-cm incision was made in the lower part of the umbilicus for the floating trocar technique. The partial nephrectomy was performed reliably as with the conventional transperitoneal approach, and then the patient could be repositioned to the contralateral side for the same procedure, maintaining all trocars. Total operation time (skin to skin), total console time, and the left- and right-side warm ischemic times were 260, 164, 27, and 23 minutes, respectively, without applying the early declamping technique. The estimated blood loss was 200 mL. The serum creatinine right after the operation, on the first day, 3 days, and 90 days after surgery were 0.92, 0.77, 0.79, and 0.81 mg/dL, respectively. For 90 days after the procedure, no complications or radiologic recurrence were observed. Further clinical studies will reveal the advantages of using the DaVinci SP device for this procedure over traditional multiport surgery, maximizing the benefit of a single port-based approach.

• 한국산학기술학회논문지
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• 제12권12호
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• pp.5622-5632
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• 2011

이 논문은 Automated Guided Vehicle(AGV)를 이용하여 운영되는 통합물류시스템의 시뮬레이션 실험설계와 분석에 관한 방법을 제시한다. 물류창고의 AGVs(Automated Guided Vehicle system) 성능을 최대로 운영하기 위해선 많은 변수들이 고려되어져야 하는데 대표적 중요 요인에는 차량 대수, 속도, 운행규칙, 부품 타입, 스케줄링, 버퍼 사이즈 등이 있다. 우리는 이 논문에서 다양한 중요요인들 중 (1)처리량 최대화, (2)차량 이용률 최대화 (3)차량 혼잡 최소화, (4)Automated Storage and Retrieval System(ASRS) 이용률 최대화를 고려하기 위해 직교배열(Orthogonal Array)로 실험계획을 수립하였고 이를 이용한 시뮬레이션 기반 분석과 진화전략(Evolution Strategy : ES)를 이용한 최적화를 각각 수행했다. 그 결과 ES에 비해 직교배열이 실험 시간과 회수를 절약하였고 두 결과에 대한 유효성 검사 또한 큰 차이를 나타내지 않았다. 따라서 본 논문에서 제시한 방법을 이용한 분석 방법은 시간, 회수 그리고 실험의 정확성에 대한 분석의 효율성을 증대시킬 것으로 예상되며 통합 물류 시스템 이외의 시스템에도 적용이 가능 할 것으로 생각된다.

• 산업공학
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• 제16권spc호
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• pp.99-104
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• 2003

While demands for express service are rapidly increasing according to recent progress of electronic commerce, express service companies are struggling to take a larger delivery service market share through ongoing improvement in their service processes. Extension of cut-off time for express service centers can provide the express company with increase of total sales, but it may also cause to increase the possibility not to satisfy customer needs due to work delay in the consolidation terminal. Therefore, compromised decision for cut-off time of each service center should be made by taking operation characteristics of the consolidation terminal into account. This study suggests an approach for determining the cut-off time for express service centers according to operational characteristics of the consolidation terminal with the objective of maximizing expected incremental sales. The problem defined in this study can be represented as two successive models; one is an integer programing model in which the best cut-off time for each sales center are determined, and the other is a single machine scheduling model in which a working schedule in the consolidation terminal is obtained. A genetic algorithm is developed to solve the two models simultaneously. Finally, an example problem is carried out to verify applicability and performance of the algorithm with the data set collected from an express company.

• 한국주거학회논문집
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• 제23권1호
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• pp.27-41
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• 2012

The objective of this study is to develop the blind control strategy and method which reduce negative effect of incoming daylight on visual comfort of occupants, minimize psychological anxieties caused by frequent motions of a blind, and maximize positive effect of incoming daylight and solar irradiation by opening/closing of a blind. As previous researches on blind controls have limited outdoor environmental conditions to those in specific regions, orientations and dates, these resulted in problems at various conditions for general-purpose application. Major problem is that the time interval and amount of blind movement do not meet the control objective at the end of control zone and discontinuous curve. To overcome these limitations revealed in the previous researches, following tasks were performed in this study. 1) To establish the control objective to accomplish the goal of this study. 2) To develop the control methods and algorithms which prevent glare on the work-plane at any time and which control the time interval and amount of blind movement to follow the control objective at various profile angle curves. 3) To validate the general-purpose applicability and performance of the developed control methods and algorithms by simulation and its data analysis at various conditions. It was found that the proposed methods and algorithms can prevent the direct glare on the work-plane at all the time and also increase the incoming daylight and solar irradiation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.159-161
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• 2000

This paper presents a GA for service restoration in electric power distribution systems. The aim of the service restoration is to restore service with maximizing the amount of total load restored while minimizing the number of required switch operation when a fault or overload occurs in distribution system. This paper develops GA for service restoration problem with constrained multi-objective optimization problem. The results show the effectiveness of the proposed method for solving the problem.

• 한국미생물·생명공학회지
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• 제18권4호
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• pp.394-400
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• 1990

유전자 조작된 세포 발효공정의 생산수율을 최대화하기 위하여 세포의 성장속도와 제품 생성속도간의 상반관계를 고려하여야 한다. 유전자 조작된 E.coli 발효에 있어, 최적화 이론을 적용하여 두 속도의 가중치를 결정함으로써 생산수율의 최대화를 꾀하였다. 성장저해제의 농도는 비 성장속도를 조절하고 결국 융합된 유전자의 발현 속도를 조절하는 변수로 사용되다. 이런 system의 특성을 위하여 간단한 unstructured model를 사용하였다.

• 제어로봇시스템학회논문지
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• 제12권12호
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• pp.1215-1219
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• 2006

Scheduling plays an important role in the process management in terms of providing profit-maximizing operation sequence of multiple orders and estimating completion times of them. In order to takes its full potential, varying conditions should be properly reflected in computing the schedule. The adjustment of scheduling decisions has to be made frequently in response to the occurrence of variations. It is often challenging because their model has to be adjusted and their solutions have to be computed within short time period. This paper employs Model Predictive Control(MPC) principles for updating the process condition in the scheduling model. The solutions of the resulting problems considering variations are computed using parametric programming techniques. The key advantage of the proposed framework is that repetition of solving similar programming problems with decreasing dimensionis avoided and all potential schedules are obtained before the execution of the actual processes. Therefore, the proposed framework contributes to constructing a robust decision-support tool in the face of varying environment. An example is solved to illustrate the potential of the proposed framework with remarks on potential wide applications.