• Journal of Institute of Control, Robotics and Systems
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• v.2 no.2
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• pp.88-95
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• 1996

It is inevitable for local systems to have deviations which represent interactions and modeling errors originated from the decomposition process of a large scale system. This paper presents a decentralized control scheme for interconnected systems using local linear models and a neuro-coordinator. In the proposed method, the local system is composed of a linear model and unknown deviations caused by linearizing the subsystems around operating points or by estimating parameters of the subsystems. Because the local system has unmeasurable deviations we define a local reference model which consists of a local linear model and a neural network to estimate the deviations indirectly. The reference model is reformed into a linear model which has no deviations through a transformation of input variables and we obtain an optimum feedback control law which minimizes a local performance index. Finally, we derive a decentralized feedback control law which consists of local linear states and neural network outputs. In the decentralized control, the neuro-coordinator generates a corrective control signal to cancel the effect of deviations through backpropagation learning with the errors obtained from the differences of the local system outputs and reference model outputs. Also, the stability of local system is proved by the degree of learning of the neural network under an assumption on a neural network learning index. It is shown by computer simulations that the proposed control scheme can be applied successfully to the control of a biased two-link planar robot manipulator.

• Journal of the Korean Institute of Navigation
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• v.20 no.4
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• pp.111-128
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• 1996

This paper is focused on the desirable improvement schemes of the local network of information and telecommunication network. In this study, we examined whether polices of information and telecommunication of government have been carried out a desirable programme to meet the public interest, found out several problems in the these policies. Such problems as follows : (1) a system of local information & telecommunication is developing by a Model of Top-Down. In the present management system, an interest of the public of local society about the local telecommunication network is a much lower level, (2) there is no general controlling roll of the local information & telecommunication, (3) there is no service controlling system of local telecommuni-cation, and (4) there is no organic coordinating system of inter-departments in the central government level. In order to resolve these problems, this study suggests a few desirable sxhemes for the local telecommunication : (1) an establishment of middle-long range planning for the integrated future network of info-telecommunication, (2) an organizing of telecommunication network being suitable for the local characteristics toward B-ISDN.

• Journal of the Korean Society for Precision Engineering
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• v.12 no.6
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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.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.914-927
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• 2017

Weighted network link prediction is a challenge issue in complex network analysis. Unsupervised methods based on local structure are widely used to handle the predictive task. However, the results are still far from satisfied as major literatures neglect two important points: common neighbors produce different influence on potential links; weighted values associated with links in local structure are also different. In this paper, we adapt an effective link prediction model-local naive Bayes model into a weighted scenario to address this issue. Correspondingly, we propose a weighted local naive Bayes (WLNB) probabilistic link prediction framework. The main contribution here is that a weighted cluster coefficient has been incorporated, allowing our model to inference the weighted contribution in the predicting stage. In addition, WLNB can extensively be applied to several classic similarity metrics. We evaluate WLNB on different kinds of real-world weighted datasets. Experimental results show that our proposed approach performs better (by AUC and Prec) than several alternative methods for link prediction in weighted complex networks.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.63-66
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• 2018

Recently, a convolutional neural network (CNN) models at single image super-resolution have been very successful. Residual learning improves training stability and network performance in CNN. In this paper, we compare four convolutional neural network models for super-resolution (SR) to learn nonlinear mapping from low-resolution (LR) input image to high-resolution (HR) target image. Four models include general CNN model, global residual learning CNN model, local residual learning CNN model, and the CNN model with global and local residual learning. Experiment results show that the results are greatly affected by how skip connections are connected at the basic CNN network, and network trained with only global residual learning generates highest performance among four models at objective and subjective evaluations.

• Journal of Digital Contents Society
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• v.11 no.4
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• pp.545-552
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• 2010

To a developing country, the advancement of economic status through informatization is an important element contributing to the local society, nation, and to the global world. This research paper is a study on application of Korea's local informatization successful model to Indonesia. Through activated interaction between enterprises and policy makers from Korea and Indonesia, the research paper seeks to create research based network and provide opportunities of information access and business matching to local informatized and e-business enterprises. In research adopted regions, Indonesia's pekalongan region where infra is settled to certain extent by city development project is selected. Therefore, investigating on pekalongan's current geographical, humanistic status quo, and infra, the paper suggest a road map to customized pekalongan's local informatization based on Korean local informatizing successful model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.305-308
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• 2003

It is widely used that a network termination rate is calculated by using a Long Run Incremental Costing model. Interconnection Order issued Ministry of Information and Communication in Korea on December 2002 has declared that termination charges of local, national, payphone, and mobile calls are going to be determined by LRIC costing models after 2004. There are lots of preceding researches on a fixed network costing model for applying to LRIC method but on a mobile network not pretty much of them. Besides, Most important basis of current calculation models for termination charges are access costs to connect subscribers to network such as a local loop. In this paper, we look into being of access costs in mobile network and show the applicable standards for cost allocation of access costs in implementing LRIC costing model.

• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.6
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• pp.48-55
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• 2005

In this paper, a mathematical model and a simulation method for the response time analysis of Local Interconnect Network(LIN) based network systems are proposed. Network-induced delays in a network based control system can vary widely according to the transmission time of message and the overhead time of transmission. Therefore, in order to design a distributed control system using LIN network, a method to predict and verify the timing behavior of LIN protocol is required at the network design phase. Furthermore, a simulation environment based on a timing model of LIN protocol is beneficial to predict the timing behavior of LIN. The model equation is formulated with six timing parameters deduced from timing properties of LIN specification. Additionally, LIN conformance test equations to verify LIN device driver are derived with timing constraints of the parameters. The proposed model equation and simulation method are validated with a result that is measured at real LIN based network system.

• Journal of the military operations research society of Korea
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• v.11 no.1
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• pp.55-78
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• 1985

This thesis provides the implementation of a simulation model for a particular Local Area Network (LAN), employs carrier sense multiple access (CSMA) bus architecture, which implements functions of the Stock Point Logistics Integrated Communication Environment (SPLICE). First, specifications of the model are identified based on the given functional specification and operating system design. Then the approach taken for modeling and programming in GPSS is discussed. Finally, the program and results of the simulation run are provided.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1216-1222
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• 2002

In this study, we suggest structural plans for constructing local network economically and optimal broad local network coincided with regional characteristics in building broad local network - the most important factor in constructing broadband superspeed service digital network giving the consideration to broadband multimedia service unfolded in the future. For the purpose of constructing optimal superspeed local network, we made comparative study of the topology types of star and ring in various conditions from a economical point of view per node and with the transmission distance.