• Journal of applied mathematics & informatics
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• 제28권3_4호
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• pp.583-596
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• 2010

In this paper, the problem of delay-dependent stability analysis for cellular neural networks systems with time-varying delays was considered. By using a new Lyapunov-Krasovskii function, delay-dependant stability conditions of the delayed cellular neural networks systems are proposed in terms of linear matrix inequalities (LMIs). Examples are provided to demonstrate the reduced conservatism of the proposed stability results.

• 비파괴검사학회지
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• 제24권4호
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• pp.362-370
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• 2004

In this work, the collapse moment due to wall-thinning defects is estimated by using fuzzy neural networks. The developed fuzzy neural networks have been applied to the numerical data obtained from the finite element analysis. Principal component analysis is used to preprocess the input signals into the fuzzy neural network to reduce the sensitivity to the input change and the fuzzy neural networks are trained by using the data set prepared for training (training data) and verified by using another data set different (independent) from the training data. Also, two fuzzy neural networks are trained for two data sets divided into the two classes of extrados and intrados defects, which is because they have different characteristics. The relative 2-sigma errors of the estimated collapse moment are 3.07% for the training data and 4.12% for the test data. It is known from this result that the fuzzy neural networks are sufficiently accurate to be used in the wall-thinning monitoring of elbows.

• 산업기술연구
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• 제21권B호
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• pp.91-98
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• 2001

In this paper, center detection and motion analysis of a moving object are studied. Kohonen's self-organizing neural network models are used for the moving objects tracking and time delay neural networks are used for dynamic characteristic analysis. Instead of objects brightness, neuron projections by Kohonen Networks are used. The motion of target objects can be analyzed by using the differential neuron image between the two projections. The differential neuron image which is made by two consecutive neuron projections is used for center detection and moving objects tracking. The two differential neuron images which are made by three consecutive neuron projections are used for the moving trajectory estimation. It is possible to distinguish 8 directions of a moving trajectory with two frames and 16 directions with three frames.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2002년도 유체기계 연구개발 발표회 논문집
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• pp.346-353
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• 2002

The steam generator feedwater flow rate in a nuclear power plant was estimated by means of artificial neural networks with the wavelet analysis for enhanced information extraction. The fouling of venturi meters, used for steam generator feedwater flow rate in pressurized water reactors, may result in unnecessary plant power derating. The backpropagation network was used to generate models of signals for a pressurized water reactor. Multiple-input single-output heteroassociative networks were used for evaluating the feedwater flow rate as a function of a set of related variables. The wavelet was used as a low pass filter eliminating the noise from the raw signals. The results have shown that possible fouling of venturi can be detected by neural networks, and the feedwater flow rate can be predicted as an alternative to existing methods. The research has also indicated that the decomposition of signals by wavelet transform is a powerful approach to signal analysis for denoising.

• Journal of applied mathematics & informatics
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• 제12권1_2호
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• pp.395-408
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• 2003

Common Channel Signaling(CCS) networks need special controls to avoid overload of signaling networks and degradation of call process-ing rate, since they play an important role of controlling communication transfer networks. Congestion control and flow control mechanisms are well described in ITU-T recommendation on Signaling System No.7(SS7). For the practical provisions, however, we need an analysis on the relation among service objects, system requirements and implementation of congestion control algorithms. SS7 provides several options for controlling link congestion in CCS networks. In this paper we give a general queueing model of congestion control algorithm which covers both the international and national options. From the queuing model, we obtain the performance parameters such as throughput, message loss rate and mean delay for the international option. To show the performance of the algorithm, some numerical results are also given.

• 한국수소및신에너지학회논문집
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• 제33권4호
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• pp.318-329
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• 2022

This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

• 한국시스템다이내믹스연구
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• 제17권1호
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• pp.41-64
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• 2016

The purpose of this paper is to explore causal relationship between social capital and firm's performance using systems thinking analysis. In strategic networks, the relationship between the members is an important factor affecting the performance. For this reason, we study relationship between social capital and firm's performance on strategic networks. The results show: Firstly, as presented in the existing research, trust and performance are positive relationship(+) and verify the entire system on strategic networks. Secondly, due to exclusiveness and embeddedness of social capital, there is nonlinear relationship between social capital and the firm's performance. Thirdly, the key factor of firm's performance on strategic networks verify relationship dependency and trust.

• 한국도서관정보학회지
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• 제12권
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• pp.1-33
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• 1985

This study has been aimed to analyze the following three points which are believed to be the most important in establishing efficient library networks. The writers have done the research into the literature and references concerning the networks of library, as they are considered crucial functions in cooperative administration between the libraries. The following are the findings from the survey: 1) The established networks in foreign countries have been compared with those of Korea, basing upon the data and present situations in both areas and the definition and agreed viewpoint of the networks are presented. 2) The relations between the existing Library system and Consortia were clarified in view of the current trend, thus showing the scope and integral aspects of them. 3) Finally, we have classified the types of network into four categories, such as search service network, customized service network, service center/network and state local networks, and made through analysis of the character, organization and management of each realm.

• Structural Engineering and Mechanics
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• 제36권2호
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• pp.165-179
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• 2010

Maximum deflection in a beam is a design criteria and occurs generally at or close to the mid-span. Neural networks have been developed for the continuous composite beams to predict the inelastic mid-span deflections (typically for 20 years, considering cracking, and time effects, i.e., creep and shrinkage, in concrete) from the elastic moments and elastic mid-span deflections (neglecting instantaneous cracking and time effects). The training and testing data for the neural networks is generated using a hybrid analytical-numerical procedure of analysis. The neural networks have been validated for four example beams and the errors are shown to be small. This methodology, of using networks enables a rapid estimation of inelastic mid-span deflections and requires a computational effort almost equal to that required for the simple elastic analysis. The neural networks can be extended for the composite building frames that would result in huge saving in computational time.

• 대한전기학회논문지:전력기술부문A
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• 제52권1호
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• pp.29-35
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• 2003

This paper presents a fault location algorithm when there are parallel circuits in power system networks. In transmission networks, a fault location method using the distribution factor of fault currents is introduced and in distribution networks a method using direct 3-phase circuit analysis is developed, because the distribution networks are unbalanced. The effect of parallel circuits in fault location is studied in this paper. The effect is important for the range of protecting zones of distance relay in transmission networks and fault location in distribution networks. The result of developed fault location algorithm shows high accuracy in the simulation that using the EMTP.