• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.79-83
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• 2016

In this paper, we define four levels of analysis, design, implementation, and testing of the configuration of the development phase by S/W development life cycle. In particular, it dealt with the stage of the analysis phase to prepare an information system developed intensively. Details of the derivation of the information security requirements, it can be seen that comes from the perspective of confidentiality, integrity, availability and accountability, etc. It dealt with from the first manifestations of the projects planning to final planning to establish information security in activities of the Information Security requirements. As an example exhibited by assessing the information security analysis phase activities of S corporations, it can be seen that the improved sales rise in information security activities.

• Journal of Korean Library and Information Science Society
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• v.37 no.4
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• pp.23-44
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• 2006

This paper presents the organization structure of the Public Library System in Tamil Nadu, the first state in the Indian Republic, and brings out the growth of public libraries in Tamil Nadu after the approval of the library reorganization committee recommendations. Appraises the performance of the Public Library System in Tamil Nadu from 1975 to 2006. An analysis has been made about the nature and adequacy of the existing resources in the public library system in the state of Tamil Nadu, based on the analysis of the statistical data relating to public libraries and their use collected from the annual administration reports of the Directorate of Public Libraries, Government of Tamil Nadu. Based on the analysis and observationsa few suggestions are given for the development of public library system and services in India general and Tamil Nadu in particular.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.307-315
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• 2006

Distributing information on the internet is common in our daily life. In the past, e-mail has been the primary choice of exchanging information. But instant messengers are gaining popularity abroad and domestically because of their immediate responses. Instant messaging has become the fastest growing communication technology in recent years. Instant messaging is effectively a chat room of two people. Users that have accounts with the same provider are able to send messages via computer in real time. Instant messaging has exploded into the business world as companies utilize the technology for everything from interoffice communication to client/customer communication. In this paper, we propose a system design for effective data collection and statistical analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.1
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• pp.255-261
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• 2013

In this paper, we developed and tested a program for prediction flash fire in a combat system. Purposes of the program are flash fire prediction of combat system for analysis vulnerability and survivability, and visualization for fire-related information. To do this, we defined critical components of the combat system which has probabilities of flash fire occurrence, and proposed Flash Fire Probability Tree which is based on Fault Tree Analysis(FTA). The program visualizes positions of critical components in combat system, positions of penetrated components, selected Flash Fire Probability Tree, temperature profile, and tables for properties of matters.

• Transactions of the Society of Information Storage Systems
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• v.11 no.1
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• pp.16-21
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• 2015

An archive system is designed to store data for a long time without loss. However, many important factors such as temperature, dust, vibration, and humidity must be considered to design a successful archive system. Read/write devices, for example optical disk drives(ODDs), in an archive system generate heat while they are in operation. Fans are usually used to remove heat but the air flow accompanies dust into the system result in system failure. In this study, an archive system with six ODDs is chosen as an analysis model and flow together with temperature distributions are computed using a CFD simulation package. Flow analysis is focused on four cooling fans at the rear panel and temperature distribution is studied for various cases of fan operation. From the temperature point of view, fans give significant effects on $4^{th}$ to $6^{th}$ ODDs compared to the $1^{st}$ to $3^{rd}$ ODDs. Also, it is noticed which fan is the most important as far as cooling is concerned.

• The Journal of Industrial Distribution & Business
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• v.9 no.12
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• pp.31-43
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• 2018

Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

• The Journal of Information Systems
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• v.22 no.2
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• pp.105-129
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• 2013

Recently, since the interest with well-being has been getting higher than ever, people want reliable source of information related with health and medical treatment. Because of the characteristics of information related with medical care, there have been difficulties to find the information from books, television and internet surfing, for treating disease. Misinformation that can be obtained when considering dangerous situations or side effects, the role of the e-Health system is becoming more important. The objective of this study is an analysis of correlation and effect among patient's information need, e-Health system use and system outcome. To achieve the object of this study, e-Health system had been given to patients of breast cancer in Wisconsin and Detroit for 16 weeks. As a result, 282 sample was gathered and modified to meet purpose of the study. As a result, the information needs of patients due to the performance of the e-Health systems and shown to affect even the perception of patients' emotional and physical health and social support.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.707-711
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• 2004

We analyze the information level of local small and medium business in the base of Nolan's growth stage model. To estimate information level we do separate level analysis for six sections and integrated total level analysis. After analyzing information level of business, we focus on the factors of this result to understand the most influential environments. The local business we were studying are the third stage-control stage. But Organization of information department and Planning and control of information are the second stage. The number of computer system application field is very related to information level. We present the critical factors of information level of small and medium business.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.1-11
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• 2017

In this paper, we design and implement PADIL(Prediction And Detection of Information Leakage) system that predicts and detect information leakage behavior of insider by analyzing network traffic and applying a variety of machine learning methods. we defined the five-level information leakage model(Reconnaissance, Scanning, Access and Escalation, Exfiltration, Obfuscation) by referring to the cyber kill-chain model. In order to perform the machine learning for detecting information leakage, PADIL system extracts various features by analyzing the network traffic and extracts the behavioral features by comparing it with the personal profile information and extracts information leakage level features. We tested various machine learning methods and as a result, the DecisionTree algorithm showed excellent performance in information leakage detection and we showed that performance can be further improved by fine feature selection.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.6
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• pp.698-704
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• 2011

This study aims to facilitate and increase the performance of the Traffic Analysis System which receives the location information of vessels sailing along the coast all over the country in real time and analyzes the vessels' sailing situation. Especially, the research has a signification that the system is designed with the application of Quad-Tree and R-Tree data structure in order for system users to search necessary information quickly and effectively, and it verifies the improvement of the performance by showing experiment results comparing the existing Traffic Analysis System to newly upgraded Traffic Analysis System.