• KEPCO Journal on Electric Power and Energy
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• 제1권1호
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• pp.79-84
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• 2015

Transformer is widely used element on power system and industrial area. Especially the transformers installed at power system are exposed to an environment of arbitrary changed. Thus the prediction of degradation and the analysis of response to impulse are important. To conduct those works, the electrical characteristics of system should be analyzed, effectively. But the analysis of electrical characteristic in electric machine level such as pole and pad-mounted transformer is almost no, thus commercial VNA (Vector Network Analyzer) is used to getting the response in wide frequency range. However, the output power of VNA is usually under 10mW, so verification for effectiveness of measuring electrically large component should be conducted, firstly. Next, after getting total S-parameter of transformer, predicting impulse response can be performed in time-domain with circuit simulator. In this paper, it is introduced that verification effectiveness of VNA using transfer function from SFRA (Sweep Frequency Response Analyzer), firstly. Next, total S-parameter, six by six matix form, was built using measured 2 port S-parameter from vector network analyzer. To get the response to impulse which is defined by IEC 60060-1, time-domain simulation is conducted to ADS (Advenced Design System) circuit simulator.

• 정보처리학회논문지C
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• 제15C권4호
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• pp.321-328
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• 2008

본 논문에서는, 혼잡 망에서의 큐 제어 방식과 전송 지연 시간에 대한 웹 반응 시간을 분석하였다. FIFO 방식에서는, 웹 반응 시간이 큐 크기에 대해서 거의 일정한 성능을 보여주었으나, 트래픽 부하가 높아질수록 웹 반응 시간은 길어졌다. 80%의 트래픽 부하보다, 90%와 98%의 트래픽 부하일 경우에, 큐 크기가 달라짐에 따라 웹 반응 시간이 더 뚜렷하게 다르게 나타났다. 특히 전송 지연 시간이 짧을 경우, 웹 반응 시간의 차이가 더욱 뚜렷하게 나타났다. RED 방식에서는, 상대적으로 큰 큐 크기일 경우, 3가지 서로 다른 설정의 RED 방식이 웹 반응 시간에 뚜렷한 영향을 미치지 못하였다. 큐 크기가 작아졌을 경우, 짧은 전송 지연에 대하여 각 RED 방식의 웹 반응 시간이 서로 뚜렷하게 다르게 나타났다. FIFO와 RED의 비교에서, 긴 전송 지연 시간일 경우, RED 방식이 FIFO보다 작은 웹 반응 시간을 보여주었다.

• 품질경영학회지
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• 제18권1호
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• pp.21-28
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• 1990

In this paper, the capacity of system which provides the real time response call service to the customer is studied. The quality of call service depends on the response time of the service in the system. Therefore, the focus of this paper is to investigate the capacity of system under the restriction of response time. In this paper, the system is modeled by queueing network. The analytical method is applied to solve this queueing network. The solution of the model has product form solution. To get the reasonable capacities, nonlinear programming problem is formulated and is solved by GINO.

• 산업경영시스템학회지
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• 제13권22호
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• pp.87-98
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• 1990

The performance analysis and capacity planning of Service Control Point which is real time response system is studied. The system is modeled by multiclass open queueing network. The analytical method is used to solve the queueing network. The solution of the model has product form solution. The focus of this paper is to investigate the capacity of system under the restriction of response time. To get the reasonable capacities, nonlinear programming problem is formulated and is solved by GINO. And the simulation model using SLAM II is formulated.

• 대한산업공학회지
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• 제39권5호
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• pp.361-366
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• 2013

Prediction of process parameters is very important in parameter design. If predictions are fairly accurate, the quality improvement process will be useful to save time and reduce cost. The concept of dual response approach based on response surface methodology has widely been investigated. Dual response approach may take advantages of optimization modeling for finding optimum setting of input factor by separately modeling mean and variance responses. This study proposes an alternative dual response approach based on machine learning techniques instead of statistical analysis tools. A hybrid neural network-genetic algorithm has been proposed for the purpose of parameter design. A neural network is first constructed to model the relationship between responses and input factors. Mean and variance responses correspond to output nodes while input factors are used for input nodes. Using empirical process data, process parameters can be predicted without performing real experimentations. A genetic algorithm is then applied to find the optimum settings of input factors, where the neural network is used to evaluate the mean and variance response. A drug formulation example from pharmaceutical industry has been studied to demonstrate the procedures and applicability of the proposed approach.

• 한국정밀공학회지
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• 제12권6호
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• pp.120-127
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• 1995

A nonlinear empirical state-space model of the Artificial Neural Network(ANN) has been developed. The nonlinear model structure incorporates characteristic, so as to enable identification of the transient response, as well as the steady-state response of a dynamic system. A hybrid feedfoward/feedback neural network, namely a Local Time Delayed Recurrent Multi-layer Perception(RMLP), is the model structure developed in this paper. RMLP is used to identify nonlinear dynamic system in an input/output sense. The feedfoward protion of the network architecture provides with the well-known curve fitting factor, while local recurrent and cross-talk connections provides the dynamics of the system. A dynamic learning algorithm is used to train the proposed network in a supervised manner. The derived dynamic learning algorithm exhibit a computationally desirable characteristic; both network sweep involved in the algorithm are performed forward, enhancing its parallel implementation. RMLP state-space and its associate learning algorithm is demonstrated through a simple examples. The simulation results are very encouraging.

• 한국정보처리학회논문지
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• 제7권9호
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• pp.2797-2806
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• 2000

최근에 정보네트워크 사용자의 급증에 따라 DDS(Distributed Database System)는 VAN(Value Added Network)상에서 구현되었다. DDS는 지역적으로 분산된 작업환경에서 중앙집중식 데이터베이스 구축보다 여러 측면에서 장점이 있으나 불합리한 설계는 컴퓨터 및 네트워크 자원의 비효율적 사용에 의한 비용의 증가와 데이터 유지를 위한 복잡도의 증가를 야기한다. DDS 설계시 각 사이트에서 적절한 컴퓨터를 선택하는 문제와 단편화된 데이터를 적절한 사이트에 할당하는 문제가 중요하다. VAN 상에서 컴퓨터 선택과 데이터 파일의 할당은 응답대기시간(waited response time)과 투자비용(investment cost)의 상관관계를 반드시 고려하여 결정되어야 하므로, 본 논문에서는 각 컴퓨터와 파일의 할당의 영향에 따라 두 목적함수의 상관관계를 고려한다. 특히, 응답대기 시간에 대한 보다 실제적인 평가를 위해 M/M/1 큐잉 시스템을 기초로 하여 설계한다. 제안된 설계모델은 경험적 탐색법 중의 하나인 유전자 알고리즘(Genetic Algorithm)의 적용을 통해 효율적인 해의 탐색을 시도하고 제안된 수학적 모델과 알고리즘의 성능 검토를 위해 모의실험 및 결과분석을 한다.

• 한국자동차공학회논문집
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• 제10권5호
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• pp.114-120
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• 2002

In a distributed real-time control system, it is essential to confirm the timing behavior of all tasks because these tasks of each real-time controller have to finish their processes within the specified time intervals called a deadline. In order to satisfy this objective, the timing analysis of a distributed real-time system such as shcedulability test must be performed during the system design phase. In this study, a simple application of CAN fur a vehicle body network system is formulated to apply to a holistic scheduling analysis, and the worst-case execution time (WCET) and the worst-case end-to-end response time (WCRT) are evaluated in the point of holistic system view.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.768-772
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• 1991

The Self Creating and organizing (SCO) is a new architecture and one of the unsupervized learning algorithm for the artificial neural network. SCO begins with only one output node which has a sufficiently wide response range, and the response ranges of all the nodes decrease with time. Self Creating and Organizing Neural Network (SCONN) decides automatically whether adapting the weights of existing node or creating a new node. It is compared to the Kohonen's Self Organizing Feature Map (SOFM). The results show that SCONN has lots of advantages over other competitive learning architecture.

• 한국통신학회논문지
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• 제11권1호
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• pp.16-24
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• 1986

본 연구는 버퍼 삽입 프로토콜을 사용한 LAN시스템을 모델링하여 그 모델에 대한 큐잉지연 시간과 응답시간을 도출하여, 파라메터 값을 변화시키면서 throughput rate에 대한 응답 시간 특성을 구하여 performance를 분석하였다. 응답시간은 Data rate를 높일 때 개선되었고, ACK신호를 호스트에서 전송할 경우에 비해 Network Interface Unit(NIU)에서 보낼 경우 챈널 Udilization이 0.8 부근에 이를 때까지 0.7mesc정도 개선되었다. 또한, 버퍼 삽입 프로토콜을 구현하기 위한 H/W구성에 대하여 연구하였다.