• Korean System Dynamics Review
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• v.1 no.2
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• pp.61-89
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• 2000

The purpose of this study is first, to find out what factors affect the cooperation and trust within the functions in the policy implementation network and in what mechanism these factors interact, second to investigate the whys to manage trust and cooperation successfully in the dynamic situation such as the network setting. For these purpose, this study reviews the concept and characteristics of policy implementation organizations, second, extracts the various factors affecting trust and cooperation in the network situation, third applies and analyzes the relationship among factors to system dynamics model based on the game theory. The results of this study could be summarized as follows: It was found that the utility change within the participants by persuasion ＆ mutual understanding and change of rule would be leading to success in policy implementation network. Also bureaucratic management such as power enforcement does not have any good impact in the managing network. In this study, system simulation method tried to analyze the hypothesis. Quantitative and case analyses were not accompanied and analysis was limited to two-person game theory. So there is some doubt this results could be generalized to actual situation which is N-person game.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.93-100
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• 2017

Current internet has evolved from the sharing and efficiency aspects of information, it is still vulnerable to the fact that the Internet is not secure in terms of security and is not safe to secure of security mechanism. Repeating patches on continuous hacking are continuously demanding additional resources for network or system equipment, and consequently the costs continue to increase. Businesses and individuals alike are speeding up the damage caused by crime like of ransomware, not jusy simple attacks, and businesses and individuals need to respond to cyber security. In addition, the ongoing introduce of security device, and separate of networks for secure transmission of contents in the existing TCP/IP system, but it is still lacking in security. To complement the security implications of this existing TCP/IP Internet Protocol, we intend to propose a Secure Contents Transport System (SCTS) on the network using the CCN concept.

• Electronics and Telecommunications Trends
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• v.32 no.6
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• pp.73-82
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• 2017

Moving Target Defense(MTD) is a novel security technology concept in which the IT infrastructure changes its form actively and prevents various types of cyber attacks. Network address moving technology is the field that has been most actively researched in terms of MTD. A number of studies on network address moving published over the last decade have suggested a virtual address-based network address moving technology for efficiency in the implementation. However, virtual address-based network address moving technology has serious vulnerabilities in terms of security and availability. This paper examines the technological characteristics of the existing studies and analyzes their limitations. It suggests security requirements to be considered when designing the network address moving technology through a technological analysis.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1159-1169
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• 2010

This paper introduces the mobility-adaptive QoE provisioning solution. The key is placed on the intelligent selection of access network depending on the QoE criteria classified by the user mobility and the bandwidth demand for service. We further focus on the network-based smart handover scheme using the mobility-adaptive handover decision and the enhanced MIH-FMIP framework. The concept is the network-based calm service and the balance in order to facilitate vertical and seamless handover. In result, it is figured out that our solution improves QoE performance by selecting appropriate access network, repressing handover occurrence, and reducing handover delay as well.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.3
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• pp.438-444
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• 2010

Surveillance and reconnaissance sensor network system is an application system based on ubiquitous sensor network technology. This technique is to avoid accidental close combat, to minimize the consumption of limited military resources and personnel, and to provide battlefield situational awareness information for the unit's future combat missions. In this paper, we have proposed a echelons scale identification scheme based on information obtained from surveillance and reconnaissance sensor network system.

• Korea Trade Review
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• v.44 no.6
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• pp.55-67
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• 2019

This study investigate the concept and type of Korea's trade governance by theories related to network governance. Korea's domestic trade policy-building system a 'network trade governance' utilizing Minister for Trade as a network administrative organization. This governance has four major rade stakeholders: G(Government), I(Industry), A(Academia), and C(Civil groups). Korea has five types of committees for internal consultation between domestic stakeholders, all G·I·A·C groups. Korea's trade governance can be if it fixes its administrative redundancy, communication formality, stakeholder exclusiveness. This topic calls for further research such as social network analysis as well as international comparison analysis.

• 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 Computer Science & Network Security
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• v.21 no.6
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• pp.77-88
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• 2021

Heart Failure represents a critical pathological case that is challenging to predict and discover at an early age, with a notable increase in morbidity and mortality. Machine Learning and Neural Network techniques play a crucial role in predicting heart attacks, diseases and more. These techniques give valuable perspectives for clinicians who may then adjust their diagnosis for each individual patient. This paper evaluated neural network models for heart attacks predictions. Several online learning methods were investigated to automatically and accurately predict heart attacks. The UCI dataset was used in this work to train and evaluate First Order and Second Order Online Learning methods; namely Backpropagation, Delta bar Delta, Levenberg Marquardt and QuickProp learning methods. An optimizer technique was also used to minimize the random noise in the database. A regularization concept was employed to further improve the generalization of the model. Results show that a three layers' NN model with a Backpropagation algorithm and Nadam optimizer achieved a promising accuracy for the heart attach prediction tasks.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.37-44
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• 2008

Data stream has the tendency to change in Patterns over time. Also known as concept drift, such problem can reduce the predictive performance of a classification model CVFDT and IOLIN tried to solve the problem of a concept drift through incremental classification model updates. The local changes in patterns. however was revealed to be unable to resolve the problems of local concept drift that occurs by influencing on total classification results. In this paper, we propose adapted IOLIN system that improves system's predictive performance by detecting the local concept drift. The experimental result shows that adaptive IOLIN, the Proposed method, is about 2.8% in accuracy better than IOLIN and about 11.2% in accuracy better than CVFDT.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1008-1012
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• 1987

This paper describes the general approach to ISDN operation & maintenance. First we focused on the CCITT SG XVIII activities on the ISDN. As a general principles for operating and maintaining an ISDN they propose TMN(Telecommunication Management Network) concept which specifies several OM function modules and standard interfaces. Based on the concept we studied proper methodology to set up an efficient OM structure under the ISDN environments.