• Korean Journal of Health Education and Promotion
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• v.29 no.5
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• pp.103-113
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• 2012

Objectives: This study aims to identify the effects of environmental characteristics of the community on adults' drinking problems with held constant effects of characteristics of drinkers themselves. Methods: A multi-level regression analysis was employed to differentiate the variances accounted for by measurements both at individual and group levels. Data on individual demographic, behavioral, and mental health status were obtained from the Community Health Survey conducted in 2009 in the province of Kyunggido, which include 41,376 respondents aged 19 and over. This study included 28,335 adults who were classified as drinkers. They were from 45 communities(si, gun, or gu) for which data on contextual characteristics were collected by secondary data available on local government websites and KOSIS(Korea Statistical Information System). Results: Multi-level analyses showed that the variance of the dependent variable, harmful use of alcohol measured by alcohol use disorder identification test was independently accounted for by variance of independent variables at group level, including number of on-premises alcohol outlet per inhabitant and divorce rate, with held other independent variables of the model controlled. Conclusions: This study confirms that in order to prevent and reduce harms caused by harmful use of alcohol requires restricting physical availability of alcohol in the community where the drinker lives.

• Solar Energy
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• v.10 no.2
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• pp.10-17
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• 1990

Short-term tests were conducted on a house at KIER, Daejon for its thermal performance evaluation. The test procedure and data analysis were made according to the PSTAR method. Each test period was 3 days during which the building was unoccupied. The data measured with 8 channels were used to renormalize an audit based simulation model of the house. The following are the key parameters obtained in the present analysis: 1) the building loss coefficient(skin conductance plus infiltration conductance during coheating period); 2) the effective building heat capacity; and 3) the effective solar gain. An estimation of total heat required to maintain a standard level of comfort during a typical winter season is also calculated on the basis of the renormalized simulation model and typical long term weather data.

• Journal of KIISE:Information Networking
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• v.30 no.3
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• pp.397-406
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• 2003

As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of important data, has been raised. In the field of anomaly-based IDS several artificial intelligence techniques such as hidden Markov model (HMM), artificial neural network, statistical techniques and expert systems are used to model network rackets, system call audit data, etc. However, there are undetectable intrusion types for each measure and modeling method because each intrusion type makes anomalies at individual measure. To overcome this drawback of single-measure anomaly detector, this paper proposes a multiple-measure intrusion detection method. We measure normal behavior by systems calls, resource usage and file access events and build up profiles for normal behavior with hidden Markov model, statistical method and rule-base method, which are integrated with a rule-based approach. Experimental results with real data clearly demonstrate the effectiveness of the proposed method that has significantly low false-positive error rate against various types of intrusion.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.12
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• pp.491-498
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• 2016

Recently leakages of confidential information and internal date have been steadily increasing by using booting technique on portable OS such as Windows PE stored in portable storage devices (USB or CD/DVD etc). This method allows to bypass security software such as USB security or media control solution installed in the target PC, to extract data or insert malicious code by mounting the PC's storage devices after booting up the portable OS. Also this booting method doesn't record a log file such as traces of removable storage devices. Thus it is difficult to identify whether the data are leaked and use trace-back technique. In this paper is to propose method to help facilitate the process of digital forensic investigation or audit of a company by collecting and analyzing BIOS firmware images that record data relating to BIOS settings in flash memory and finding traces of portable storage devices that can be regarded as abnormal events.

• Journal of Distribution Science
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• v.21 no.6
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• pp.107-117
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• 2023

Purpose: To know the existence of tax services, it is seen as a redistribution of income to ensure the implementation of national development and social welfare carried out by the state to the community and determine the effect of the quality of tax services, tax audits and tax collection against either simultaneously or partially against the tax ratio in the area of the Primary Tax Service Office of West Makassar. Research Design Data and Methodology: The tax revenue rate is too low based on the Revenue Statistics in Asian and Pacific report, released by the OECD at the end of July 2017. Tax revenue growth is also difficult to increase because of typical inelastic tax revenues. Consequently, tax growth cannot exceed GDP growth. The government boosted the tax ratio by minimizing tax payment irregularities and optimizing tax data utilization as well as distribution income for national social welfare. Transforming all sectors in the real economy so that it is affordable to tax, diversification of taxation is directed towards new sources of economic growth. The data analysis method used is multiple linear regression. Results: The results showed that the quality of tax services and tax audits were dominant in determining tax ratios, whereas Tax collection offers a significant but lower value.Conclusion: The existence of tax services, it is seen as a redistribution of income to ensure the implementation of national development and social welfare carried out by the state to the community.Quality and service in taxation services to create and maintain trust and cooperation relationships between tax officials and taxpayers.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.95-105
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• 2009

Traffic accidents on highways are likely to happen when there is an imbalance in the complex relationships among key elements such as road geometries, driver related factors, and mechanical performances. The Demand-Effort Model (DEM), which evaluates highway safety, can be explained by the imbalance, which occurs when the level of demand of the driver's attention to the road environment exceeds that of the response from the driver. This study suggests a new model that improves the reliability of the current DEM through the reinterpretation on the physiological signals with the help of the Neural Network Model (NNM). The data were collected from 149 subjects, who drove a test vehicle on the Yongdong, Honam, and Seohaean Expressways in Korea. Three important results could be drawn from the recursive tests as follows; (1) Only 5 out of 10 parameters on the physiological signals which are currently used were proven to be meaningful through the Normality Test, Cluster Analysis, and Mann-Whitney Analysis. (2) The revised DEM, which internally uses the NNM, showed more reliable results than existing DEM. Group 1, which is based on the new DEM showed 80.0% of accuracy in measuring the level of driver's efforts, however, that of Group 2 based on the current DEM was 74.3%. (3) Field tests on the Honam Expressway showed lower 'type II error' with the new DEM (40.5%) than the old DEM (58.8%). The DEM is designed as a quick and easy way to determine highway safety prior to the minute road safety audit (RSA) by a professional audit team. Then a new DEM, which is based on the NNM, needs to be considered since it showed higher reliability and lower error.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.391-399
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• 2017

Various efforts for reducing greenhouse gas emission due to intensified climate change are being made continuously in all industrial fields, including theimplementation of"green logistics" as countermeasures in the logistics industry. Therefore, energy and greenhouse gas management are necessary for logistics warehouses in the logistics industry. In this study, asurvey on the recognition of logistics center managers and the management elements werecarried out to identify the energy management status of logistics centers. This study was carried out to identify the energy management status of warehouses and the perception of energy managers. The total numberof warehouses and the classification by purpose of use were examinedusing public DB to identify the present status of the warehouses preferentially. Based on the result, asurvey for identifying the present status of energy management and the perception of energy managers targeting 300 warehouses was carried out. Warehouse managers have shown considerable interest in energy management but they experiencedifficulty in this area due to a lack of energy management infrastructure and expertise. In the case of an energy audit, most warehouse managers had no experience in energy auditsbecausethe energy audits werenot mandatory for warehouses. The results of this study can be used as basic data to determineenergy management status and energy management elements for developing IT systems for the energy management of logistics warehouses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5009-5022
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• 2014

The purpose of this study was to obtain the serum lipid levels according to the lifestyles, and examine the influence of lifestyles on the serum lipid levels among adults who examined the health checkup in an university hospital. The subjects for this study were 4,112 adults who underwent medical examinations at the health center of a university hospital in Daejeon city from Jan 2012 to Dec 2013. The lifestyles and serum lipid levels of study subjects were obtained from self-recorded questionnaires and medical examination charts of the hospital. As a result, the mean values of the serum lipid levels (TC, HDL-C. LDL-C and TG) and atherogenic index (AI) of the study subjects showed a significantly difference according to the lifestyle, such as age, alcohol consumption, smoking, regular exercise, overeating and meat consumption in both sexes. The TC, HDL-C. LDL-C, TG and AI showed a positive correlation with age, AUDIT score, but the HPI score showed a negative correlation in both sexes. In the age-adjusted odds ratio, the risk ratio of an abnormality of TC, HDL-C. LDL-C, TG and AI increased significantly because there was an increase in the group of everyday overeating and meat consumption, smoking group, no exercise group, and low HPI group than their respective counterparts in both sexes. The above results suggested that the serum lipid levels of the subjects was closely related to increasing age, and lifestyles, such as alcohol consumption, smoking, regular exercise, overeating, and meat consumption.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7844-7854
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• 2015

The purpose of this study is to investigate the drinking status, health behaviors, health related quality of life and depression among female problem drinkers and to examine the impact of their health behavior and health related quality of life on depression. The data of this study were derived from the 5th Korea National Health and Nutrition Examination Survey conducted during January 2010-December 2012. As for the subjects of this study, 328 female problem drinkers were selected who were classified as those with 8 or higher scores in the AUDIT, and complex samples analysis was conducted using the IBM SPSS Statistics version 21.0 software package. The study result showed that the risk of experiencing depression increased among subjects with a high level of perceived stress and subjects with a low level of health related quality of life. In addition, the risk of experiencing depression increased among subjects with 1-4 hours of sleep time compared to subjects with 8 or more hours of sleep time. Accordingly, it would be necessary to pay attention to stress, sleep time and health related quality of life that are related influencing factors for the improvement of depression and mental health of Korean female problem drinkers.

• Journal of the Society of Disaster Information
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• v.14 no.3
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• pp.334-342
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• 2018

Purpose: The purpose of this study is to examine and improve the issues related to National Safety Inspection currently operation and reform the system for response to various disasters. Method: For the completion, this study established theoretical background using materials related to National Safety Inspection and identified the issues using the open statistical data for National Safety Inspection to suggest the improvement plans. Results: National Safety Inspection has been operating a complete large-scale inspection on risk factors in cooperation with the central government, local governments, and citizens since 2015 to remove various disaster factors neglected in people's daily lives. Operation of National Safety Inspection had positive influence in preventing major disasters. However, inefficient activity is pointed out due to issues related to cooperation with other institutes, limitation for citizen's positional role, and superficial inspection. Conclution: To solve this issue, this study proposed strengthening of communication activity with disaster institutes, strengthening of efficiency through citizen participation by type, and actualization of checklist used in National Safety Inspection.