• 한국조명전기설비학회지:조명전기설비
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• 제13권2호
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• pp.212-212
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• 1999

This paper proposed a high impedance fault detection method using a neural network on distribution lines. The v-I characteristic curve was obtained by high impedance fault data tested in various soil conditions. High impedance fault was simulated using EMTP. The pattern of High Impedance Fault on high density pebbles was taken as the learning model, and the neural network was valuated on various soil conditions. The average values after analyzing fault current by FFT of evenr·odd harmonics and fundamental rms were used for the neural network input. Test results were verified the validity of the proposed method.

• 한국지능시스템학회논문지
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• 제10권3호
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• pp.211-217
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• 2000

A main contribution of this paper is the development of a Hopfield network-based algorithm for the fault diagnosis of the actuators in linear system with uncertainties. An unknown input decoupling approach is introduced to the design of an adaptive observer so that the observer is insensitive to uncertainties. As a result, the output observation error equation does not depend on the effect of uncertainties. Simultaneous energy minimization by the Hopfield network is used to minimize the least mean square of errors of errors of estimates of output variables. The Hopfield network provides an estimate of the gains of the actuators. When the system dynamics changes, identified gains go through a transient period and this period is used to detect faults. The proposed scheme is demonstrated through its application to a simulated second-order system.

• 한국정보처리학회논문지
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• 제6권3호
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• pp.571-579
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• 1999

A Macro-Star graph which has a star graph as a basic module has node symmetry, maximum fault tolerance, and hierarchical decomposition property. And, it is an interconnection network which improves a network cost against a star graph. A matrix star graph also has such good properties of a Macro-Star graph and is an interconnection network which has a lower network cost than a Maco-Star graph. In this paper, we propose a method to embed between a Macro-Star graph and a matrix star graph. We show that a Macro-Star graph MS(k, n) can be embedded into a matrix star graph MS\ulcorner with dilation 2. In addition, we show that a matrix star graph MS\ulcorner can be embedded into a Macro-Star graph MS(k,n+1) with dilation 4 and average dilation 3 or less as well. This result means that several algorithms developed in a star graph can be simulated in a matrix star graph with constant cost.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.364-373
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• 2022

Image morphing methods make seamless transition changes in the image and mask the meaningful information attached to it. This can be detected by traditional machine learning algorithms and new emerging deep learning algorithms. In this research work, scope of different Hybrid learning approaches having combination of Deep learning and Machine learning are being analyzed with the public dataset CASIA V1.0, CASIA V2.0 and DVMM to find the most efficient algorithm. The simulated results with CNN (Convolution Neural Network), Hybrid approach of CNN along with SVM (Support Vector Machine) and Hybrid approach of CNN along with Random Forest algorithm produced 96.92 %, 95.98 and 99.18 % accuracy respectively with the CASIA V2.0 dataset having 9555 images. The accuracy pattern of applied algorithms changes with CASIA V1.0 data and DVMM data having 1721 and 1845 set of images presenting minimal accuracy with Hybrid approach of CNN and Random Forest algorithm. It is confirmed that the choice of best algorithm to find image forgery depends on input data type. This paper presents the combination of best suited algorithm to detect image morphing with different input datasets.

• 대한전자공학회논문지SD
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• 제42권12호
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• pp.79-90
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• 2005

본 논문에서는 의사무작위패턴만으로는 생산하기 힘든 결정론적 테스트 큐브의 생산확률을 높일 수 있는 새로운 clustered reconfigurable interconnect network (CRIN) 내장된 자체 테스트 기법을 제안한다. 제안된 방법은 주어진 테스트 큐브들의 신호확률에 기반을 둔 스캔 셀 재배치 기술과 규정 비트(care-bit: 0 또는 1)가 집중된 스캔 체인 테스트 큐브의 생산확률을 높이기 위한 전용의 하드웨어 블록을 사용한다. 테스트 큐브의 생산확률을 최대로 할 수 있는 시뮬레이티드 어닐링(simulated annealing) 기반 알고리듬이 스캔 셀 재배치를 위해 개발되었으며, CRIN 하드웨어 합성을 위한 반복 알고리듬 또한 개발되었다. 실험을 통하여 제안된 CRIN 내장된 자체 테스트 기법은 기존의 연구 결과보다 훨씬 적은 저장 공간과 짧은 테스트 시간으로 $100\%$의 고장검출율을 달성할 수 있음을 증명한다.

• 한국전자파학회논문지
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• 제18권1호
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• pp.31-36
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• 2007

RFID 시스템에서 태그 안테나의 성능을 평가하는 중요한 기준은 우수한 인식 거리라고 할 수 있다. 태그 안테나의 인식 거리를 결정하는 요인 중 가장 중요한 것이 Radar Cross Sections(RCS)이다. 본 논문에서는 수동형 RFID 시스템에서의 태그 안테나의 RCS값을 두 개의 송 수신 리더 안테나와 network analyzer를 가지고 간단하게 측정할 수 있는 방법을 제안한다. Network analyzer로 송신 안테나에서 수신 안테나로 전달되는$S_{21}$ 값을 측정하고, 이것을 가지고 RCS 식으로 계산하여 RCS 값을 추정할 수 있다. 그리하여 RCS의 측정값, 시뮬레이션 값, 이론값을 서로 비교하였다. 측정에 사용된 태그 안테나는 2개의 다이폴 타입 태그 안테나와 1개의 금속 태그, 1개의 inductively coupled 태그 안테나를 사용하였다. 실험 결과 다이폴 타입 태그에 경우는 측정 값, 시뮬레이션값, 이론값이 거의 일치하고 다른 구조의 태그는 근사적으로 RCS 값을 추정할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.135-138
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• 1997

In this paper, Tuning method of the parameter P.I.D of the 2DOG-PID controller for having a required response to the disturbance and the setpoint is studied by the neural network. This algorithms is simulated in the level control of the steam generator and the flow control system, and resulting represents than the conventional PID controller.

• ETRI Journal
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• 제32권1호
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• pp.139-141
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• 2010

In this letter, closed-form approximations for outage probability and symbol error rate are presented for a selective decode-and-forward relay network with partial channel information. An independent but not identically distributed Rayleigh fading environment is considered. Numerical and simulated results demonstrate the validity of the analytical results.

• 대한산업공학회지
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• 제24권2호
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• pp.241-249
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• 1998

In this paper, we seek to find an optimal allocation of link capacity in a data communication network. The architecture of the data communication network considered in the study is an online-service network based on public switched telephone network(PSTN) and packet switched data network(PSDN). In designing the architecture of the network, we need to deal with various measures of quality of service(QoS). Two important service measures are the call blocking probability in PSTN and the data transfer delay time in PSDN. Considering the tradeoff between the call blocking probability and the data transfer delay time in the network, we have developed the optimal link capacity allocation model that minimizes the total link cost, while guarantees the call blocking probability and the data transfer delay time within an acceptable level of QoS. This problem can be formulated as a non-linear integer programming model. We have solved the problem with tabu search and simulated annealing methods. In addition, we have analyzed the sensitivity of the model and provided the insight of the model along with computational results.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2126-2128
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• 2001

This paper suggests that the immune network algorithm based on fuzzy set can effectively be used in tuning of a PID controller for multivariable process or nonlinear process. The artificial immune network always has a new parallel decentralized processing mechanism for various situations, since antibodies communicate to each other among different species of antibodies/B-cells through the stimulation and suppression chains among antibodies that from a large-scaled network. In addition to that, the structure of the network is not fixed, but varies continuously. On the other hand, a number of tuning technologies have been considered for the tuning of a PID controller. As a less common method, the fuzzy and neural network or its combined techniques are applied. However, in the case of the latter, yet, it is not applied in the practical field, in the former, a higher experience and technology is required during tuning procedure. Along with these, this paper used the fuzzy set in order that the stimulation and suppression relationship between antibody and antigen can be more adaptable controlled against the external condition, including noise or disturbance of plant. The immune network based on fuzzy set suggested here is applied for the PID controller tuning of multivariable process with two inputs and one output and is simulated.