• KIISE Transactions on Computing Practices
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• v.22 no.9
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• pp.441-448
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• 2016

RBAC(Role-Based Access Control), which is widely used in Medical Information Systems, is vulnerable to illegal access through abuse/misuse of permissions. In order to solve this problem, treatment based risk assessment of access requests is necessary. In this paper, we propose a risk evaluation method based on treatment information. We use network analysis to determine the correlation between treatment information and access objects. Risk evaluation can detect access that is unrelated to the treatment. It also provides indicators for information disclosure threats of insiders. We verify the validity using large amounts of data in real medical information systems.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.95-113
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• 2007

To minimize IT operational risks and the opportunity cost for lost business hours. it is necessary to have preparedness in advance and mitigation activities for minimization of a loss due to the business discontinuity. There are few cases that banks have a policy on systematic management, system recovery and protection activities against system failure. and most developers and system administrators response based on their experience and the instinct. This article focuses on the mitigation model development for minimizing the incidents of disk unit in IT operational risks. The model will be represented by a network model which is composed of the three items as following: (1) the risk factors(causes, attributes and indicators) of IT operational risk. (2) a periodic time interval through an analysis of historical data. (3) an index or an operational regulations related to the examination of causes of an operational risk. This article will be helpful when enterprise needs to hierarchically analyze risk factors from various fields of IT(information security, information telecommunication, web application servers and so on) and develop a mitigation model. and it will also contribute to the reduction of operational risks on information systems.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.93-107
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• 2014

Interests on collaborative research and academic relationship among researchers have been increased. Collaborative researchers can maximize productivity, time and cost savings, and reduce the risk of research. An empirical study on the research productivity of co-authors' network and review efficiency of the reviewer network was conducted based on co-author networks and reviewer networks in Korea Society of IT Service. This study aims to find the characteristics of the co-author and reviewer networks, and to analyze research productivity and review efficiency in order to draw some implications. The meaning of interactions among professional groups was analyzed. Research productivity index was calculated using 728 authors' papers submitted to the society. In order to verify the effects of indicators of social network analysis on research productivity and review efficiency, correlation and regression analyses were used. As a result, the indicators of network centrality did not affect the review efficiency, but affect the research productivity.

• Korean Journal of Childcare and Education
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• v.17 no.5
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• pp.83-103
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• 2021

Objective: This study aimed to develop a longitudinal predictive model that identifies first-grade children who are at risk for ADHD and to investigate the factors that predict the probability of belonging to the at-risk group for ADHD by using machine learning. Methods: The data of 1,445 first-grade children from the 1st, 3rd, 6th, 7th, and 8th waves of the Korean Children's Panel were analyzed. The output factors were the at-risk and non-risk group for ADHD divided by the CBCL DSM-ADHD scale. Prenatal as well as developmental factors during infancy and early childhood were used as input factors. Results: The model that best classifies the at-risk and the non-risk group for ADHD was the LASSO model. The input factors which increased the probability of being in the at-risk group for ADHD were temperament of negative emotionality, communication abilities, gross motor skills, social competences, and academic readiness. Conclusion/Implications: The outcomes indicate that children who showed specific risk indicators during infancy and early childhood are likely to be classified as being at risk for ADHD when entering elementary schools. The results may enable parents and clinicians to identify children with ADHD early by observing early signs and thus provide interventions as early as possible.

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.77-86
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• 2019

Due to the increasing demand for and complexity of plant construction projects, unpredictable risk factors are on the consequent increase. For that reason, the quantitative risk analysis is being called for, in order for the development of a risk assessment model using risk indicators for the plant construction projects. This study used the claim payout data collected at a global insurance company to reflect the actual financial losses in plant construction projects as dependent variables in the risk assessment model. In terms of independent variables, the geographic information, i. e., landform, and the construction information including test-run, schedule rate, total cost and duration are adopted. In addition, this study suggests that the regression model containing such independent variables that are statistically significant can be applied to as a foundational guideline for the plant construction project risk analysis during the phase of construction and commissioning.

• 재활복지
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• v.21 no.2
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• pp.1-27
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• 2017

The purpose of this study is to evaluate the level of implementation of the Incheon Strategy and to develop measures for effective implementation. This research method used literature review and monitoring method. The results of the study are summarized as follows: First, 9 key indicators and 7 supplementary indicators, which are classified into implementation and non-implementation, 3 key indicators have been implemented, one indicator has been partially implemented, 5 indicators have not yet been implemented, Also, In the case of supplementary indicators, five were implemented and two were not. Second, the ten target areas are lacking in implementation, but the objective of 7 is to ensure the comprehensive disaster risk reduction and management, the ratification and implementation of the Convention on the Rights of Persons with Disabilities and the harmonization of the Convention with the domestic law, Also, it is analyzed that the level of implementation is in the order of improving the reliability and comparability of the data of goal 8, ensuring gender equality of goal 6 and strengthening the capacity of women. Based on these results, we propose an improvement plan for implementation. First, it is necessary to formulate policy issues and implement measures for the implementation of Incheon Strategy. Second, it is necessary to establish a system to implement and monitor for Incheon strategy. Third, Korean standards for goals and targets, key indicators and supplementary indicators are needed. Fourth, it is necessary to prioritize the target implementation and to take preemptive action. Lastly, it is necessary to educate and publicize for the Incheon strategy.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.191-196
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• 2015

There have been many studies on statistical forecasting on firm's performance and stock price by applying various financial indicators such as debt ratio and sales growth rate. Selecting predictors for constructing a prediction model among the various financial indicators is very important for precise prediction. Most of the previous studies applied variable selection algorithms for selecting predictors. However, the variable selection algorithm is considered to be at risk of eliminating certain amount of information from the indicators that were excluded from model construction. Therefore, we propose a firm's performance prediction model which principal component analysis is applied instead of the variable selection algorithm, in order to reduce dimensionality of input variables of the prediction model. In this study, we constructed the proposed prediction model by using financial data of American IT companies to empirically analyze prediction performance of the model.

• Journal of the Korean GEO-environmental Society
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• v.15 no.8
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• pp.5-11
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• 2014

In this study, chemical analysis and ecotoxicity tests of leachate from disposal site for foot-and-mouth disease carcasses (FMD leachate) were conducted to collect fundamental data that will be used to develop environmental risk assessment tools for FMD leachate. For chemical analysis, concentration of $Cl^-$, $NH{_4}{^+}-N$, Korea standard method indicators for detection of leachate released from animal carcasses burial site into groundwater and NRN (Ninhydrin-Reactive Nitrogens), a newly suggested screening test indicator to detect groundwater contamination by FMD leachate, were assessed. For ecotoxicity tests, luminescent bacteria (V. fischeri), micro-algae (P. subcapitata) and water flea (D. magna) were selected as test species. Correlation analysis between the concentration of $Cl^-$, $NH{_4}{^+}-N$, NRN and the toxicity to V. fischeri was performed to identify the better indicators to monitor FMD leachate contamination. From regression analysis, the concentration of the indicators in FMD leachate contaminated sample that induced halfmaximal toxic effect to V. fischeri was evaluated. Results obtained from this study can be applied to assess the risk by FMD leachate and to establish the guideline to manage risk in relation to FMD leachate.

• Journal of the korean academy of Pediatric Dentistry
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• v.43 no.3
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• pp.264-274
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• 2016

It is a trend that carbonated drink intake among adolescents is increasing, which makes young people more vulnerable to dental erosion. However, in Korea, public knowledge about dental erosion is very insufficient. The aim of this study was to investigate the prevalence of dental erosion and to assess its risk indicators among 13-15 years old students in Yangsan, Korea. A total of 1,371 adolescents were examined by one calibrated clinician. Dental erosion was assessed by using the Visual Erosion Dental Examination system. Correlation between their dietary habit, oral hygiene and dental erosion was assessed. The data showed that 676 (49.3%) adolescents had dental erosion. The prevalence of dental erosion was significantly higher in females than in males. The prevalence of tooth erosion in mandible is higher than in maxilla. Dental erosion was generalized to develop mostly on anterior teeth, especially lateral incisor, however, the severity score was highest in canines. Following questionnaire analysis, dental erosion was significantly associated with milk and flavored milk. No other associations were detected. The prevalence of dental erosion in this study is higher than those of previous reports. On the contrary to previously reported studies, the prevalence of dental erosion in females is higher than in males.

• Journal of Nutrition and Health
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• v.54 no.5
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• pp.489-500
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• 2021

Purpose: This study aimed at investigating the nutritional status, nutritional support, and nutritional indicators of critically ill patients on extracorporeal membrane oxygen (ECMO) in intensive care units (ICU). Methods: This descriptive study obtained data from the medical records of 37 patients who were treated using ECMO at a university hospital in Korea. The patients were admitted to the Korea University Anam Hospital ICU with acute or serious damage to vital organs from January 1, 2014 to June 30, 2016. Results: Although 32 patients (86.5%) were at a high risk of malnutrition, 26 patients (70.3%) were considered normal in terms of nutritional status by the nutritionist at the beginning of their ICU stay. However, after two weeks, nine patients had passed away and only one patient maintained normal status. Parenteral nutrition was started first but took 4.25 ± 6.95 days till initiation. Only eight patients (21.6%) were able to meet their requirement for both calories and protein. The group provided with adequate calorie and protein showed significantly longer use of the ECMO and respirator and longer ICU and total hospital stay than their counterparts. Normal levels of serum albumin and protein of the group at low-risk for malnutrition on the day of initiation of ECMO, which were significantly higher than the high-risk group, declined by the last day of ECMO leading to a lack of significant differences between the two groups. Conclusion: Considering that the nutritional indicators of patients deteriorated as the days on ECMO increased, more aggressive nutritional management to ensure adequate nutritional support should be emphasized from the beginning and throughout the ICU stay.