• Structural Engineering and Mechanics
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• v.26 no.4
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• pp.377-392
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• 2007

A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1581-1585
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• 2005

This paper describes the design and implementation of a XCP (Xeline Control Protocol) network system. XCP is an information oriented protocol which delivers information with high reliability according to the predefined rule. The XCP network system is implemented with partly hardware and partly software based on the power line communication(PLC) environment. A network management tool which interacts with devices is also developed. In order to verify the feasibility of the proposed architecture, the implemented XCP network system is evaluated using a lighting control system.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.156.3-156
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• 2001

This paper handles synthesis and investigation of a neural network guidance law based on pursuit-evasion games. This work considers two-dimensional pursuit-evasion games solved by using the gradient method. The procedure of developing a guidance law from the game-optimal solutions is deeply examined, and important features of the neural network guidance are investigated. The proposed neural network guidance law takes the range, range rate, line-of-sight rate, and heading error as its input variables. By reconstructing the trajectory, the accuracy of the neural network approximation is verified. Afterwards, robustness of the neural network guidance to the autopilot lag, which results from its feedback structure, is investigated ...

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.308-313
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• 2006

EPC Network는 EPC 관련 정보를 수집, 처리, 저장, 제공하는 Network를 말하며 EPC Network에서의 정보 접근 제어는 다양한 접근 방법, 다양한 플랫폼을 사용하는 사용자의 접근 및 분산 환경이라는 상황을 고려해야만 한다. 본 논문에서는 온톨로지를 이용한 간단하면서도 효율적인 정보 접근 제어 기법을 제시하고자 한다. 본 논문에서 제시하는 정보 접근 제어 기법을 간략하게 설명하자면 EPC Network를 구성하는 요소 중 하나인 EPC IS로 전송되는 SOAP 전송 메시지 내부에 정보 접근 제어를 위해 필요한 정보들을 온톨로지를 이용하여 기술한다. EPC IS는 온톨로지를 이용하여 기술된 SOAP 전송 메시지 내부에 포함된 정보 접근 제어와 관련된 정보를 정보 접근 제어 처리에 사용한다. 온톨로지를 이용함으로써 사용자와 EPC IS 간의 개념 및 용어의 일관성을 유지할 수 있으며, 추론 기능을 이용하여 정보 접근 제어에 있어서의 요구 사항들을 쉽게 처리할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.234-237
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• 2016

Address Resolution Protocol (ARP) is used for mapping a network address to physical address in many network technologies. However, since ARP protocol has no security feature, it always abused by attackers for performing ARP-based attacks. Researchers presented many technologies to improve ARP protocol, but most of them require a high implementation cost or scarify the network performance for using ARP protocol securely. In this paper, we present an ARP-disabled network system to neutralize the ARP-based attacks. "ARP-disabled" means suppress the ARP messages like request, response and broadcast messages, but not the ARP table. In our system, ARP tables are used for managing static ARP entries without prior knowledge (e.g. IP, MAC list of client devices). This is possible because the MAC address was designed to be derived from IP address. In general, our system is safe from the ARP-based attacks even the attacker has a strong power. Moreover, we saved network bandwidth by disabling the ARP messages.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06b
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• pp.1-6
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• 1996

To promote academic researches on earth environment utilizing satellite data, research infrastructure such as satellite data reception processing, distribution and archival systems should be fully provided. The means to enhance the infrastructure were discussed by a working group and“Satellite Data Center via Network”has been proposed. This concept has three principles; (1) To realize necessary functions by organizing experts distributed all over Japan and connecting them by network, (2) To realize“Satellite Data Center via Network”for GMS and NOAA Satellites, which are widely used for research, and (3) Satellite data set oriented to specific research area should be generated by researchers having definite research purposes of sensor algorithms and hugh volume data processing. Utilization of the Science Information Network (SINET) has been discussed to realize this concept, and to accelerate this project an experiment“Network Utilization for Wide Area Use of Satellite Image Data”under“Cooperative Experiment on Multimedia Communication”has been introduced. And the roles of the Institute of Industrial Science, University of Tokyo to contribute this project has been described.

• Journal of Electrical Engineering and information Science
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• v.2 no.5
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• pp.121-128
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• 1997

This paper proposes a class of rearrangeable networks, called generalized rearrangeable networks(GRNs). GRNs are obtained from the Benes network by rearranging the connections between states and the switches within each stage. The GRNs constitute all of the rearrangeable networks which have the recursive decomposition structure and can be routed by the outside-in decomposition of permutations as the Bene network. This paper also presents a necessary condition for a network to be a GRN and a network labeling scheme to check if a network satisfies the condition. the general routing algorithm for the GRNs is given by modifying slightly the looping algorithm of the Benes network.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4483-4501
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• 2020

Recent findings identified the scatter and shape of MFD (macroscopic fundamental diagram) is heavily influenced by the spatial distribution of link density in a road network. This implies that the concept of MFD can be utilized to divide a heterogeneous road network with different degrees of congestion into multiple homogeneous subnetworks. Considering the actual traffic data is usually incomplete and inaccurate while most traffic partition algorithms rely on the completeness of the data, we proposed a three-step partitioned algorithm called Iso-MB (Isoperimetric algorithm - Merging - Boundary adjustment) permitting of incompletely input data in this paper. The proposed algorithm was implemented and verified in a simulated urban transportation network. The existence of well-defined MFD in each subnetwork was revealed and discussed and the selection of stop parameter in the isoperimetric algorithm was explained and dissected. The effectiveness of the approach to the missing input data was also demonstrated and elaborated.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.307-313
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• 2024

This study explores the integration of Explainable Artificial Intelligence (XAI) and network science in healthcare, focusing on enhancing healthcare data interpretation and improving diagnostic and treatment methods. Key methodologies like Graph Neural Networks, Community Detection, Overlapping Network Models, and Time-Series Network Analysis are examined in depth for their potential in patient health management. The research highlights the transformative role of XAI in making complex AI models transparent and interpretable, essential for accurate, data-driven decision-making in healthcare. Case studies demonstrate the practical application of these methodologies in predicting diseases, understanding drug interactions, and tracking patient health over time. The study concludes with the immense promise of these advancements in healthcare, despite existing challenges, and underscores the need for ongoing research to fully realize the potential of AI in this field.

• Convergence Security Journal
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• v.17 no.5
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• pp.57-61
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• 2017

The National research networks exist to support advanced science and technology in each country. The national research network must meet the requirements of science and technology in each field and continuously develop around the continuously changing environment. In recent years, demand for data - oriented science and technology research forms has been increasing. To cope with this demand, advanced national research networks are establishing mid - to long - term strategies. In this paper, the status of the advanced research network and trends and requirements of the national research network are analyzed from the viewpoint of the change of the research network environment, the change of science / technology, and the change of industry and life. In order to respond to the analyzed requirements, we propose mid - to long - term development directions and plans for establishing future network backbone, providing user - centered collaborative research environment, providing global collaborative network service, and providing high - tech science and technology research data information protection service.