• Journal of Digital Convergence
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• v.14 no.11
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• pp.45-51
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• 2016

Although the problem of personal data leakage is reported to be serious, there has been no research that tries to excavate out that real cause of the leakage in scientific prospective. Although this topic is considered to be crucial, there have been no literatures relevant to the topic, and the reason for this limitation is that scientific approach to this problem was not feasible. In this respect, in this paper a model for such scientific analysis and a methodology of analysis have been devised. Results show that the degree of rigidity turns out be the determinant that vindicates the degree of leakage. The notion of data rigidity is revealed to be very strongly correlated to the number of hacking incidents in each country. The notion of resident data freedom was then deployed in this paper to determine the world-wide ranking for a slew of different countries. The United Kingdom and the Republic of Korea turned out to be the two extreme countries that lie in the spectrum of the scale, with UK the most flexible and ROK one of the most rigid.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.119-125
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• 2017

The mud flat in Korea is the geographical feature generated from the sediment of rivers of Korea and China and it is the important topography for pollution purification and fishing industry. The mud flat is difficult to access such that it requires the aerial survey for the high-resolution spatial information of the area. In this study we used drones instead of the conventional aerial and remote sensing approaches which have shortcomings of costs and revisit times. We carried out GPS-based control point survey, temporal image acquisition using drones, bundle adjustment, stereo image processing for DSM and ortho photo generation, followed by co-registration between the spatio-temporal information.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.35-42
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• 2012

Defense Modeling and Simulation aims to provide a computerized war environment where we can analyze weapon systems realistically. As we invest significant efforts to represent weapon systems and their operational environments on the computer, there has been an increasing need to reuse predefined weapon models. In this paper, we introduce OB-Cloud (Ontology-Based Cloud storage) to utilize predefined weapon models. OB-Cloud has been implemented as a repository for OpenSIM (Open Simulation engine for Interoperable Models), which is an integrated simulation environment for aiding weapons effectiveness analysis, under the development of our research team. OB-Cloud uses weapon ontology and thesaurus dictionaries to provide semantic search for reusable models. In this paper, we present repository services of OB-Cloud, including registration of weapon models and semantic retrieval of similar models, and illustrate how we can improve reusability of weapon models, through an example.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.237-243
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• 2018

Most of public underground facilities are installed under the ground, thus it is difficult to recognize the accurate location even with the drawings. Studies are conducted to understand exact position of underground facilities using augmented reality. However, in those studies, establishing of additional 3D object model database is needed when AR system is used at field. Because most of public underground facility information are established as 2 dimensional. In this study, AR system is developed as mobile application which can use original 2D underground facility data to transfer 3D AR data automatically without additional 3D database establishment.

• Journal of architectural history
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• v.24 no.3
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• pp.31-41
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• 2015

This study aims to draw out planning principles and structure of Iksan imperial capital city in late Baekje, especially in view of the relationship among imperial capital city planning area, skeletal axis and the location of royal castle. With site survey and analysis of historical records, old maps, topographical maps, archeological excavation data, land registration map of 1915, some significant inferences were drawn out. Firstly from the point of topological conditions, the contiguous line of a stratum from Mireuk mountain(彌勒山) to Wangkung-ri castle(王宮里遺蹟) and two waterways made a topological axis of Iksan Imperial capital city. Secondly district of Iksan imperial capital city can be deduced to the inner area north to Kummado soil wall(金馬都土城), south to the confluence of Iksan river(益山川) and Busang river(扶桑川), west to Okum mountain fortress(五金山城) and Galjeon river(葛田川), east to line near to eastern wall of Jesuksa temple(帝釋寺). Iksan ssang-reung(益山雙陵) was located outside western boundary line of capital city. Thirdly axis from Wangkung-ri castle to northern Kummado soil wall made a skeletal axis of city structure. It got through northern lowland along Buk river(北川) between Yonghwa(龍華山) and Mireuk mountain. Fourthly the location of royal palace can be deduced to the north part of the city around Kumma town area along the planning principle of northern royal palace.

• Korean Journal of Health Education and Promotion
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• v.20 no.4
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• pp.51-65
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• 2003

Objectives： To examine the regional mortality differences in The Republic of Korea according to geographic location. Methods： All 232 administrative districts of the Republic of Korea in 1998 were studied according to their geographic locations by dividing each district into three categories； "metropolis," "urban," and "rural". Crude mortality rates for doth sexes from total deaths as well as the three major causes of death in Korea (cardiovascular disease, cancer, and external causes) were calculated with raw data from the "1998 report on the causes of death statistics" and resident registration data. Standardized mortality ratios (SMR) were calculated using the indirect standardization method. Poisson regression analyses were performed to examine the effects of geographic locations on the risk of death. To correct for the socioeconomic differences of each region, the percentage of old ($\geq$ 65 years old) population, the number of privately owned cars per 100 population, and per capita manufacturing production industries were included in the model. Results： Most SMRs were the lowest in the metropolis and the highest in the rural areas. These differences were more prominent in men and in deaths from external causes. In deaths from cancer in women, the rural region showed the lowest SMR. In Poisson regression analysis after correcting for regional socioeconomic differences, the risk of death from all causes significantly increased in both urban (OR＝1.111) and rural (OR＝1.100) regions, except for rural women, compared to the metropolis region. In men, the rural region showed higher risk (OR＝1.180) than the urban region (OR＝1.l51). For cardiovascular disease and cancer, significant differences were not found between geographic locations, except in urban women for cardiovascular disease (OR＝1.151) and in rural women for cancer (OR＝0.887), compared to metropolis women. In deaths from external causes, the risk ratios significantly increased in both urban and rural regions and an increasing tendency from the metropolis to the rural region was clearly observed in both sexes. Conclusions： Regional mortality differences according to geographic location exist in The Republic of Korea and further research and policy approaches to reduce these differences are needed. to reduce these differences are needed.

• Korean Journal of Health Education and Promotion
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• v.25 no.1
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• pp.25-38
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• 2008

Objectives: This study identified the factors associated with successful smoking cessation for 6 months at a smoking-cessation clinic of a public health center in an urban area. Methods: The subjects of this study were 670 visitors to the smoking cessation clinic of Dongjak-Gu public health center in Seoul, from September 6, 2005 to March 24, 2006. The 274 visitors of them responded to the questionnaire with registration, which contained the information related to the study except that of registered card for the clinic. A dependent variable was success or failure in smoking cessation during the 6 month-smoking cessation program, measured the status of smoking cessation in each week by self-report. Independent variable included demographic information, the characteristics in using the clinic, health status and smoking related behaviour, exposure to other smokers in daily life and motivation. Multiple logistic regression model was used to find the factors associated with success of smoking cessation. Results: The success rate in smoking cessation for 6 months was 33.6%. Five pretreatment characteristics were identified as univariate predictors of continuous abstinence. Finally, age, job, and practice oriented motivation were associated significantly with the success of smoking cessation for 6 months from a multiple logistic regression analysis. The lower socio-economic smokers such as people having lower literacy level, lower income people, unskilled workers, and recipients by Medical Assistant Program were more likely to fail in continuous abstinence for 6 months. Conclusions: In order to increase the success rate in smoking cessation clinics of public centers, counselors should activate self confidence and practice oriented motivation of participants for smoking cessation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.9
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• pp.590-597
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• 2014

This paper proposes multi-camera system that relies on 3D views for panoramic video and distribution method about panoramic video generation algorithm by using cloud computing. The proposed monitoring system monitors the projected 3D model view, instead of individual 2D views, to detect image distortions. This can minimize compensation errors caused by parallax, thereby improving the quality of the resulting panoramic video. Panoramic video generation algorithm can be divided into registration part and compositing part. Therefore we propose off-loading method of these parts with cloud computing for panoramic video service.

• Journal of Preventive Medicine and Public Health
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• v.44 no.2
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• pp.84-92
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• 2011

Objectives: This study aimed to investigate smoking relapse and the related factors within 1 year after discharge from the smoking cessation clinics (SCCs) of public health centers (PHCs). Methods: Data were collected with a structured questionnaire from 395 people who success fully stopped smoking at 4 SCCs in Busan between May and June 2009, and this data were analyzed by Kaplan-Meier survival curves and the Cox proportional hazard model. Results: The rate of smoking relapse within 1 year after discharge from SCCs was 39.2% and this decreased rapidly over 6 months after discharge. The factors related to smoking relapse within 1 year after discharge from SCCs were being female (HR, 2.11; 95% CI, 1.17 to 3.82), a trial of smoking cessation with any assistants (HR, 1.95; 95% CI, 1.19 to 3.19), more than 7 ppm of exhaled CO2 on the SCCs' registration (HR, 1.81; 95% CI, 1.24 to 2.64), use of pharmacotherapy after discharge from SCCs (HR, 2.00; 95% CI, 1.36 to 2.93), alcohol drinking more than once a week after discharge from SCCs (HR, 3.32; 95% CI, 2.15 to 6.78), and a perceived barrier (HR, 1.21; 95% CI, 1.14 to 1.30) after discharge from the SCCs. Conclusions: According to the results, at least 6 months follow-up after discharge from SCCs of public health centers is recommended to reduce the rate smoking relapse. It is also recommended to strengthen the education on how to overcome barriers such as drinking in the course of smoking cessation clinics.

• Journal of Preventive Medicine and Public Health
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• v.43 no.3
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• pp.257-264
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• 2010

Objectives: An accurate estimation of cancer patients is the basis of epidemiological studies and health services. However in Korea, cancer patients visiting out-patient clinics are usually ruled out of such studies and so these studies are suspected of underestimating the cancer patient population. The purpose of this study is to construct a more complete, hospital-based cancer patient registry using multiple sources of medical information. Methods: We constructed a cancer patient detection algorithm using records from various sources that were obtained from both the in-patients and out-patients seen at Asan Medical Center (AMC) for any reason. The medical data from the potentially incident cancer patients was reviewed four months after first being detected by the algorithm to determine whether these patients actually did or did not have cancer. Results: Besides the traditional practice of reviewing the charts of in-patients upon their discharge, five more sources of information were added for this algorithm, i.e., pathology reports, the national severe disease registry, the reason for treatment, prescriptions of chemotherapeutic agents and radiation therapy reports. The constructed algorithm was observed to have a PPV of 87.04%. Compared to the results of traditional practice, 36.8% of registry failures were avoided using the AMC algorithm. Conclusions: To minimize loss in the cancer registry, various data sources should be utilized, and the AMC algorithm can be a successful model for this. Further research will be required in order to apply novel and innovative technology to the electronic medical records system in order to generate new signals from data that has not been previously used.