• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.775-779
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• 2002

Currently, high-resolution satellite imagery such as KOMPSAT and IKONOS has been tentatively utilized to various types of urban engineering problems such as transportation planning, site planning, and utility management. This approach aims at software development and followed applications of remotely sensed imagery to transportation geographic analysis. At first, GDPA (Gradient Direction Profile Algorithm) and main modules in it are overviewed, and newly implemented results under MS visual programming environment are presented with main user interface, input imagery processing, and internal processing steps. Using this software, road network are automatically generated. Furthermore, this road network is used to transportation geographic analysis such as gamma index and road pattern estimation. While, this result, being produced to do-facto format of ESRI-shapefile, is used to several types of road layers to urban/transportation planning problems. In this study, road network using KOMPSAT EOC imagery and IKONOS imagery are directly compared to multiple road layers with NGI digital map with geo-coordinates, as ground truth; furthermore, accuracy evaluation is also carried out through method of computation of commission and omission error at some target area. Conclusively, the results processed in this study is thought to be one of useful cases for further researches and local government application regarding transportation geographic analysis using remotely sensed data sets.

• Journal of the Korean Society for Library and Information Science
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• v.42 no.4
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• pp.355-374
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• 2008

This paper reports a case study in which Saracevic and Kantor's derived taxonomy of library services was applied to qualitative data gathered from sixteen university library users. Using face-to-face interview method, we collected user responses related to the reasons of using services, aspects of interaction, and results of using services. Specific codes from the taxonomy were applied to the verbal expressions. The results show that library services are being used for a variety of purposes and that this approach enables us to effectively capture and classify service value expressed in users' own words. The taxonomy is evaluated to be quite comprehensive and scalable.

• Annual Conference of KIPS
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• 2001.04a
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• pp.527-530
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• 2001

현재 인터넷의 killer application으로 VoIP 서비스를 들고 있으며 ITU-T H.323 기반의 VoIP 시스템은 검증된 기술로 인정받고 있다. 그럼에도 불구하고 대부분의 VoIP 관련기구에서는 차세대 VoIP용 호설정 프로토콜로서 IETF의 SIP를 채택하고 있다. 본 논문에서는 개발한 SIP 기반의 PC-to-PC 인터넷 전화 시스템에 대하여 기술한다. 구현 구성요소는 클라이언트와 서버로 구분된다. 클라이언트인 SIP UA(User Agent)는 MS Windows 98/2000에서 동작하며 Visual C++를 이용하여 구현하였다. 서버는 SIP Redirect Server와 사용자 등록을 위한 SIP Registrar를 Linux 환경에서 C++를 이용하여 구현하였다. SIP Registrar는 DB와 연동이 되며 MySQL 서버를 이용하였다.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.967-974
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• 2004

An OLAP system is the decision support tool with which a user can analyze the information interactively in the various aspects. However, the traditional existing construction of an OLAP system has the inefficiency problem of increasing the time and cost caused by the frequent changes of the users requirements. In this paper, we analyse existing construction procedure of OLAP systems and propose a prototyping OLAP View based on the star schema which can help and guide the designer In supporting efficiently of users requirements. Through an implementation of S shopping mall using the OLAP View, we show that our proposal is able to support OLAP construction strategy and provide accurate understanding of data resources. With an OLAP View, we can reduce the required time and cost of implementing OLAP system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.12
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• pp.2199-2204
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• 2007

The objective of this study is to get an implication through the application of Technology Acceptance Model (TAM) focused on Mobile Banking Service based on IC Chip. Thus firstly, this study reviewed the related literatures and materials. After this, this parer analyzed this TAM model with covariance structural method to search the factors influencing technology acceptance of Mobile banking service. In conclusion, the proposed model showed that 'innovation factor' influenced 'perceived usefulness' and 'user's acquaintance' influenced 'perceived ease of use'. And this 'perceived usefulness' influenced 'perceived ease of use' and this 'perceived ease of use' influence 'attitude toward use'.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.985-990
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• 2019

In subjects dealing with when historically important events took place, the application of memory laws can enhance the educational effectiveness. Methods to increase memory rate by applying additional information such as dots, lines, bars, etc. are being studied in numerical memory-based studies. This study proposes a method of applying the long-term memory mechanism that was lacking in the previous study. This is a mechanism that corrects the error data entered by user's mistake, and tries to increase the memory rate by giving a memorable effect. To this end, we propose the unique processes that are carried out in the mobile environments and we implement and evaluate the error correction numerical algorithms.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.49-56
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• 2006

A special feature of P2P distributed system isn't always the guarantee of online status for peers. In other words we want to download the file from the peer when we use the P2P system but it sometimes caused this system to fail the download. Many studies to resolve this problem depend on re-transmission method. It caused to lower performance so we have to resolve this problem. In this study, we analysis the average usage time of P2P application user and raise the resource transmission guarantee to apply the selection criteria of resource supplier. Moreover the combinations of distributed object replication techniques, the role to enhance the data transmission opportunity of high popularity resource. will cause this search algorithm to advance.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.79-86
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• 2020

In this paper, we propose an efficient emotional relaxation framework using Dijkstra algorithm based on anisotropic features. Emotional relaxation is as important as emotional analysis. This is a framework that can automatically alleviate the person's depression or loneliness. This is very important for HCI (Human-Computer Interaction). In this paper, 1) Emotion value changing from facial expression is calculated using Microsoft's Emotion API, 2) Using these differences in emotion values, we recognize abnormal feelings such as depression or loneliness. 3) Finally, emotional mesh based matching process considering the emotional histogram and anisotropic characteristics is proposed, which suggests emotional relaxation to the user. In this paper, we propose a system which can recognize the change of emotion easily by using face image and train personal emotion by emotion relaxation.

• Journal of Korea Multimedia Society
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• v.22 no.8
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• pp.823-831
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• 2019

In recent years, there has been developed systems such as a surveillance system and access control using a face recognition function instead of a password or an RFID chip, thereby reducing the risk of falsification. Moreover, deep learning technology has been applied to real-time face recognition technology in video, so it makes possible the development of access control system that improves the accuracy of recognition and efficiency of management. In this paper, we propose a real-time access management system based on face recognition using ResNet. The system is based on web server, which make it possible to manage the access by recognizing the person of the image through the camera and access information stored in the database. It can be accessed by a user application to receive various information. The implemented system identifies a person in real time and allows access control by accurately distinguishing whether they are members or not, and the test results can recognize in 0.2 seconds. The accuracy of recognition rate is up to about 97% depending on the experiment environment. With this system, access can be managed quickly and effectively, even many people rush to it.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.34-52
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• 2019

This paper proposes an intelligent system performing an application with assistance of an Internet of Things (IoT) platform to control a traffic lights system. In our proposed systems, the traffic lights can be remotely controlled through the Internet. Based on IoT platform, the traffic conditions at different intersections of roads are collected and the traffic lights are controlled in a central manner. For the software part, the algorithm is designed based on the green wave theory to maximize the green bandwidth of arterial roads while addressing a challenging issue: the rapid changes of parameters including cycle time, splits, offset, non-fixed vehicles' velocities and traffic flow along arterial roads. The issue typically happens at some areas where the transportation system is not well organized like in Vietnam. For the hardware part, PLC S7-1200 are placed at the intersections for two purposes: to control traffic lights and to collect the parameters and transmit to a host machine at the operation center. For the communication part, the TCP/IP protocol can be done using a Profinet port embedded in the PLC. Some graphical user interface captures are also presented to illustrate the operation of our proposed system.