• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.1
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• pp.31-39
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• 2017

The goal of this study was to efficiently analyze the relationships of the number of thefts with related factors, considering the spatial patterns of theft crimes. Theft crime data for a 5-year period (2009-2013) were collected from Haeundae Police Station. A logarithmic transformation was performed to ensure an effective statistical analysis and the number of theft crimes was used as the dependent variable. Related factors were selected through a literature review and divided into social, environmental, and defensive factors. Seven factors, were selected as independent variables: the numbers of foreigners, aged persons, single households, companies, entertainment venues, community security centers, and CCTV (Closed-Circuit Television) systems. OLS (Ordinary Least Squares) and GWR (Geographically Weighted Regression) were used to analyze the relationship between the dependent variable and independent variables. In the GWR results, each independent variable had regression coefficients that differed by location over the study area. The GWR model calculated local values for, and could explain the relationships between, variables more efficiently than the OLS model. Additionally, the adjusted R square value of the GWR model was 10% higher than that of the OLS model, and the GWR model produced a AICc (Corrected Akaike Information Criterion) value that was lower by 230, as well as lower Moran's I values. From these results, it was concluded that the GWR model was more robust in explaining the relationship between the number of thefts and the factors related to theft crime.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2895-2921
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• 2018

Security has become one of the major concerns in mobile adhoc networks (MANETs). Data and voice communication amongst roaming battlefield entities (such as platoon of soldiers, inter-battlefield tanks and military aircrafts) served by MANETs throw several challenges. It requires complex securing strategy to address threats such as unauthorized network access, man in the middle attacks, denial of service etc., to provide highly reliable communication amongst the nodes. Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats. IDPS in MANET is managed by Command Control Communication and Intelligence (C3I) system. It consists of networked computers in the tactical battle area that facilitates comprehensive situation awareness by the commanders for timely and optimum decision-making. Key issue in such IDPS mechanism is lack of Smart Learning Engine. We propose a novel behavioral based "Smart Multi-Instance Multi-Label Intrusion Detection and Prevention System (MIML-IDPS)" that follows a distributed and centralized architecture to support a Robust C3I System. This protocol is deployed in a virtually clustered non-uniform network topology with dynamic election of several virtual head nodes acting as a client Intrusion Detection agent connected to a centralized server IDPS located at Command and Control Center. Distributed virtual client nodes serve as the intelligent decision processing unit and centralized IDPS server act as a Smart MIML decision making unit. Simulation and experimental analysis shows the proposed protocol exhibits computational intelligence with counter attacks, efficient memory utilization, classification accuracy and decision convergence in securing C3I System in a Tactical Battlefield environment.

• Journal of the Korea Society of Computer and Information
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• v.23 no.8
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• pp.143-149
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• 2018

Recently, President Donald Trump signed FOSTA (Fight Online Sex Trafficking Act) in April 11, 2018, which makes online service no more immune from civil liability for the action of third party facilitating sex trafficking content. Although it is also important to enhance security regulations and cognition on law, but it will be economically more effective to put more energy on preventing recidivism. For John School in Korea, it should increase implementation rate by putting core manpower and budget for preventing needs of sex purchase and then, check operation method and efficacy to improve the actual program. One way is first, empirical analysis and data is required on efficacy of John School program. Second, should have clear definition in Special Sex Trade Law. Third, more strick regulation for selecting participant is required. Fourth, more manpower and budget is required. Fifth, charging the participant for educational fee shall be reviewed. Sixth, educational program should be reviewed. The most important point of education is to make those criminals feel guilty about financially purchasing the sex, basically making them to recognize that it is ethically wrong. However, the current education system contains no clear explanation about the ethical issue of such problem but focusing more on other factors such as sexual disease and structural problem of sexual business. Therefore, this failed to deliver the right psychological training to those criminals without any ethical control. Knowing why women feel hurt when having unwanted sexual relationship by being paid is required part in terms of education for preventing sex trafficking.

• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.219-227
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• 2001

Objectives : To understand the current status of the opening, closing and relocation of primary medical institutes in Korea and identify the underlying decision factors. Methods : Sources of analyzed data included the medical institutional master file at the National Health Insurance Corporation(1998, 2000) and Regional Statistic Annual Bulletins. To investigate changes including the opening, closing and relocation, a total of primary medicalinstitutions(16,757 in 1998, 19,267 in 2000) were analysed. Results : Between 1998 and 2000, there was a 15.0%(2,510) increase in the number of primary medical institutions and the rate of increase in the rural area was higher than the urban area, and higher for specialty clinics than primary practice. However, these findings did not suggestany improvement in the maldistribution of primary medical institutions. During the time period studied, newly opened and closed primary medical institutions numbered 4,085 and 1,573, respectively. Additionally, institutions thatrelocated numbered 2,729, or 16.3% of all primary medical institutions in operation in 1998. These openings and closings were more frequent among young doctors. As a result of our analysis on the underlying regional factors forrelocation, the factors that were statistically significant were local per capita tax burden and the number of schools per ten thousand persons. !n, the case of institutional factors, movements were significantly associated with gender and the location of primary medical institutions. Conclusions : In order to establish effective long-term intervention for primary medical institutions, further study and monitoring of primary medical institutions and the identification of factors influencing opening location and relocation is necessary.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.3
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• pp.43-60
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• 2016

Coastal cities need disaster planning that accounts for the complex causes of environmental disasters such as high tides or tsunamis generated by typhoons, and of river or lowland flooding caused by heavy rains, etc. The elements of the disaster map were initially defined using a Geographic Information System (GIS) to allow for efficient information management. Complex disaster information elements were thus established in this study to create a disaster map of coastal cities. The range of information required for coastal cities includes the type of disaster, evacuation methods, available sheltering facilities, and learning content. These informational elements are intended to build on spatial information based on data available from the Ministry of Public Safety and Security as well as local governments.

• Korean Journal of Social Welfare
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• v.55
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• pp.181-204
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• 2003

The purpose of this study was to offer a comprehensive analysis of the changing trends of the Korean income packaging, poverty rate, and level of income inequality from 1996 to 2002. In order to do that, this study used the micro-data of "Income and Expenditure Survey of Urban Households" by the National Statistical Office(NSO). Major results were as follows: (1) A ratio of public transfer in family income packaging increased at the DJ administration. (2) Poverty rate and Gini coefficient, which were 7.8% and 0.29 in 1996, rose to $8.8{\sim}10.4%$ and $0.30{\sim}0.34$ respectively during the year of 1998-2002. (3) However, poverty reduction effect and income inequality reduction effect of public income transfer increased preferably at the DJ administration. Those effects increased more since the enactment of National Basic Livelihood Security in 2000. Therefore, government should provide more national welfare programs to reduce the poverty rate and to improve better structure of income distribution.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.127-148
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• 2018

This study defined the influence of the quality of job information websites and of user characteristic factors on the user satisfaction and on the intention of the use thereof based on the technical acceptance model to activate research on job information or job information websites in the category of Library and Information Science, amid studies on the Fourth Industrial Revolution in various disciplines emerging. 230 users experienced in job information websites were surveyed. The surveyed data were analyzed by applying the structural equation model. The results are as follows. Accuracy, security, self-efficacy, the perceived easiness of use had a positive effect on the perceived usefulness. Up-to-dateness, self-efficacy, individual innovation had a significant effect on the perceived easiness of use. The perceived usefulness and the perceived easiness of use had a positive effect on user satisfaction, and the user satisfaction had a significant effect on the intention of use.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.558-576
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• 2020

Purpose: This study wanted to empirically study the effects of ISO 22301 and ISMS certification requirements on Business Performance. Method: For research, a survey was conducted on ISO 22301 and ISMS-certified companies to collect data and use SPASS18 and AMOS18 for statistical analysis. Results: Verification of the hypotheses through the questionnaire demonstrated that BCP, BCM operation, management, and access control of ISO 22301 and ISMS certification requirements, including BIA, risk assessment, BCP, BCM, BCM operation, management, and access security requirements, affect the enterprise's performance (quality improvement, customer satisfaction, financial performance) through the intermediation of the enterprise culture, and the feasibility of the survey paper is high. Conclution: This study has derived the impact of ISO 22301 and ISMS certification requirements on business performance, and based on this, it is deemed necessary to present improvements to ISO 22301 and ISMS certification, and to study future ISO 22301 certification activation and domestic certification, BCMS.

• Health Policy and Management
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• v.25 no.4
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• pp.256-263
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• 2015

Background: Initial treatment of acute upper respiratory infection (AURI) should not include antibiotics because most AURIs are caused by virus. However, the prescription rate of antibiotics in Korea is higher than in any other countries. Inappropriate use of antibiotics in Korea accelerated the emergence of antibiotics resistance and increased the social and economic burden. The objective of this study was to investigate the factors related to antibiotics use for the AURI among children-adolescents and adults. Methods: This study analyzed the Health Insurance Review and Assessment Service-National Patient Sample data which was nationally representative sampling stratified by sex and age. Results: The influencing factors of antibiotics use for AURI are gender, age, types of medical security, primary disease, existence of concomitant disease, treatment seasons, first visit or revisit, indicated specialty, types of medical institution, and location of medical institution. Conclusion: The results showed health policy makers are required to place more efforts to resolve inappropriate antibiotics use. Especially they need to establish a health policy to reduce the gap between areas and specialties and recommend standardized clinical guidelines according to the subgroup code of AURI and the age group of patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.1
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• pp.25-44
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• 2010

With the increasing popularity of mobile devices, it has become necessary to protect private information and content in these devices. Face recognition has been favored over conventional passwords or security keys, because it can be easily implemented using a built-in camera, while providing user convenience. However, because mobile devices can be used both indoors and outdoors, there can be many illumination changes, which can reduce the accuracy of face recognition. Therefore, we propose a new face recognition method on a mobile device robust to illumination variations. This research makes the following four original contributions. First, we compared the performance of face recognition with illumination variations on mobile devices for several illumination normalization procedures suitable for mobile devices with low processing power. These include the Retinex filter, histogram equalization and histogram stretching. Second, we compared the performance for global and local methods of face recognition such as PCA (Principal Component Analysis), LNMF (Local Non-negative Matrix Factorization) and LBP (Local Binary Pattern) using an integer-based kernel suitable for mobile devices having low processing power. Third, the characteristics of each method according to the illumination va iations are analyzed. Fourth, we use two matching scores for several methods of illumination normalization, Retinex and histogram stretching, which show the best and $2^{nd}$ best performances, respectively. These are used as the inputs of an SVM (Support Vector Machine) classifier, which can increase the accuracy of face recognition. Experimental results with two databases (data collected by a mobile device and the AR database) showed that the accuracy of face recognition achieved by the proposed method was superior to that of other methods.