• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.6
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• pp.652-662
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• 2016

This paper proposes a user mobility management scheme which supports seamless service even if a user changes his accessing terminal in service in IP-based convergence network. Most of ongoing researches concerning mobility management as well as the existing mobility schemes have been focused to support terminal mobility. It is limited to support a variety of mobility types such as user mobility. The proposed scheme uses the mapping relationship between UID(User Identifier), user specific identifier and TID(Terminal Identifier), specific terminal identifier and forms packet address with user specific permanent 3 layer address for session continuity in case of user mobility. We numerically analyze and compare handover signaling cost between the existing user mobility scheme and the proposed scheme. The result shows that the proposed scheme has lower handover signaling cost than the existing one, [1].

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.65-79
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• 2003

In general, the extraction and recognition of identifier is very hard work, because the scale or location of identifier is not fixed-form. And, because the provided image is contained by camera, it has some noises. In this paper, we propose methods for automatic detecting edge using canny edge mask. After detecting edges, we extract regions of identifier by detected edge information's. In regions of identifier, we extract each identifier using contour tracking algorithm. The self-generation supervised learning algorithm is proposed for recognizing them, which has the algorithm of combining the enhanced ART1 and the supervised teaming method. The proposed method has applied to the container images. The extraction rate of identifier obtained by using contour tracking algorithm showed better results than that from the histogram method. Furthermore, the recognition rate of the self-generation supervised teaming method based on enhanced ART1 was improved much more than that of the self-generation supervised learning method based conventional ART1.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.1
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• pp.29-51
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• 2019

Most fields of society have constructed and utilized various name identifier systems such and International Standard Name Identifier(ISNI), Open Researcher and Contributor ID(ORCID), and Interested Parties Information System(IPI) in order to uniquely identify individual authors and institutions and to associate them to data related to creative works. Although it might be inevitable to apply name identifier systems in the current data environment with rapid association and integration of data across fields, there are many problems to be addressed when utilizing those systems. In order to overcome these problems and construct better information ecological system by associating and linking data from various fields, this research analyzed advanced cases for data integration based on ISNI. Through the analysis, it suggested managemental refinements for efficiently utilizing ISNI in data integration and association.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.82-85
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• 2018

The purpose of this paper is to improve the authentication method for IP camera user authentication. Since existing authentication uses knowledge-based authentication method, if ID and PW are exposed to attack by attacker, IP camera becomes defenseless from attacker. The attacker can access the IP Camera and acquire and distribute real time video and voice, which can be exploited as a second crime, and there is a fear of a secret leak when a secret facility is installed. In order to compensate for this vulnerability, this paper proposes a DUI authentication method that identifies and registers a device using DUI (Device Unique Identifier), blocks access to unauthorized devices by subordinating the device to the IP Camera and authenticates only authorized devices.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.197-218
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• 2010

Korean Government has invested a lot of efforts on digital contents industry. It believes that the digital contents industry enables Korea to regain the reputation of the most powerful IT country. Among its various efforts to promote the digital contents industry, a Digital Contents Identifier System, called UCI(Universal Contents Identifier), has been developed and deployed. UCI has provided a critical infrastructure for digital contents production and distribution. Thanks to Korean Government's efforts, users (companies and individuals) have currently registered 3.8 million digital contents through 25 RA organizations. Although the number of registered contents has been increased rapidly, many organizations hesitate to adopt the UCI system due to the lack of visible and short-term returns from the UCI system. Thus, this research tries to explore factors which affect UCI user satisfaction. This research finds that user's awareness, information quality, and service quality are the critical influencing factors toward UCI user satisfaction. In addition, this research finds that the critical influencing factors in public organizations are different from the critical influencing factors in private organizations. These findings hopefully provide useful guidelines for disseminating the UCI system widely.

• Journal of Korean Port Research
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• v.13 no.2
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• pp.303-312
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• 1999

The automated gate operating system is developed in this paper that controls the information of container at gate in the ACT. This system can be divided into three parts and consists of container identifier recognition car plate recognition container deformation perception. We linked each system and organized efficient gate operating system. To recognize container identifier the preprocess using LSPRD(Line Scan Proper Region Detection)is performed and the identifier is recognized by using neural network MBP When car plate is recognized only car image is extracted by using color information of car and hough transform. In the port of container deformation perception firstly background is removed by using moving window. Secondly edge is detected from the image removed characters on the surface of container deformation perception firstly background is removed by using moving window. Secondly edge is detected from the image removed characters on the surface of container. Thirdly edge is fitted into line segment so that container deformation is perceived. As a results of the experiment with this algorithm superior rate of identifier recognition is shown and the car plate recognition system and container deformation perception that are applied in real-time are developed.

• IE interfaces
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• v.20 no.2
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• pp.227-234
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• 2007

The national product identifier(NPI) currently used in the national product asset management system does not accommodate ISO or EPC standards due to the limitation of tag memory. For this reason, we propose a new NPI which accommodates not only ISO item identification standards but also the memory capacity of ISO tags. First of all, memory structures of ISO/IEC 18000-6C and EPC tags are analyzed from the view point of product identifier structure. Second, ISO/IEC 15459 and EPC identification standards as item identifier structures for the product asset management are analyzed. Third, based on these analyses, the NPI used for the current RFID-based product asset management system is analyzed and its problems are presented. Finally, a new NPI structure is proposed suitable for ISO/IEC 18000-6C and ISO/IEC 15459.

• Journal of Electrical Engineering and information Science
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• v.2 no.3
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• pp.61-65
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• 1997

This paper proposes an intelligent controller for brushless DC motor and load with unknown nonlinear dynamics. The proposed intelligent control system consists of a plant identifier and PID controller with varying gains. The identifier is constructed using an Auto Regressive Moving Average (ARMA) model. In order to tune the parameters of the identifier and the gains of the PID controller efficiently, e also propose a modified Evolution Strategy. Experimental results show that the proposed intelligent controller for brushless DC motor has good control performance under unknown disturbance.

• Journal of information and communication convergence engineering
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• v.6 no.1
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• pp.100-104
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• 2008

Generally, it is difficult to find constant patterns on identifiers in a container image, since the identifiers are not normalized in color, size, and position, etc. and their shapes are damaged by external environmental factors. This paper distinguishes identifier areas from background noises and removes noises by using an ART2-based quantization method and general morphological information on the identifiers such as color, size, ratio of height to width, and a distance from other identifiers. Individual identifier is extracted by applying the 8-directional contour tracking method to each identifier area. This paper proposes a refined ART2-based RBF network and applies it to the recognition of identifiers. Through experiments with 300 container images, the proposed algorithm showed more improved accuracy of recognizing container identifiers than the others proposed previously, in spite of using shorter training time.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.6
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• pp.90-98
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• 1997

A time-optimal control law for quick, strongly nonlinear systems has been developed and demonstrated. This procedure involves the utilzation of neural networks as state feedback controllers that learn the time-optimal control actions by means of an iterative minimization of both the final time and the final state error for the systems with constrained inputs and/or states. A neural identifier or a genetic algorithm identifier could be utilized for modeling the partially known systems and the unknown systems. The nature of neural networks as a parallel processor would circumvent the problem of "curwe of dimensionality". The control law has been demonstrated for both a torque input motor and a velocity input motor identified by a genetic algorithm called GENOCOPed GENOCOP.