• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.5
• /
• pp.367-377
• /
• 2016

The purpose of the projects for strengthening the Service Business Competitiveness, which had been sponsored by the Ministry of Trade, Industry and Energy, and managed by the NIPA, is to support for combining the whole business process of the SMEs with the business model considering the scientific aspects of the services, to enhance the productivity of them and to add the values of their activities. 5 organizations are selected in 2014, and 4 in 2015 as leading organizations for these projects. This study analyzed the efficiency of these projects using DEA. Throughout the analysis of the prior researches, this study used the amount of government-sponsored money as the input variable, and the number of new customer business, the sales revenue, and the number of new employment as the output variables. And the result of this analysis showed that the decision making unit 12, 15, and 21 was efficient. And from this study, we found out two more performance indicators such as, the number of new employment and the amount of sales revenue, besides the number of new customer businesses.

• Journal of Korean Society for Geospatial Information Science
• /
• v.22 no.4
• /
• pp.99-106
• /
• 2014

After 1960 forest and ecosystem are rapidly destroyed by industrialization and urbanization. Accordingly, studies that produce vegetation map continue for forest and ecosystem management. Since 1986 national natural environment survey is being conducted in Korea. Also, vegetation information is managed properly through forest geospatial information service(FGIS) of the Department of Environment when NGIS project was promoted since 1995. But it provide dominant species information based on text. In particular, some vegetation information dose not provide to end-user. Therefore, we suggest construction method of vegetation information management system based on GIS to solve the problem. Also, we suggest connection method of related system for an accurate analysis, planning and decision-making support.

• The Journal of Society for e-Business Studies
• /
• v.12 no.4
• /
• pp.53-69
• /
• 2007

The convergence of telecommunications and broadcasting is representative of many innovative technologies in the digital environment. It has recently been emphasized as an alternative solution to overcome the on-going saturation of the telecommunications and broadcasting markets. Despite this effort, however, growth of the market and its related services cannot reach prior expectations due to lack of understanding on the real user-end. Telecommunications technology used to serve its instrumental purpose and broadcasting services usually support entertainment functions which in themselves have an inherent value. Our research questions what factors influence users' attitude and decision-making when it comes to using telecommunications-broadcasting convergence services. The research model of this paper proposes intrinsic motivator focusing on hedonic value, extrinsic motivator having utilitarian values, and perceived control as internal and external conditions. To verify our model empirically, we selected the DMB technology which is a good example of distinctive telecommunications-broadcasting convergence service.

• Journal of Korean Society of Forest Science
• /
• v.97 no.3
• /
• pp.255-265
• /
• 2008

This study is aiming at providing the useful information for successful implementation of the forest resource promotion policy through analyzing the impacting factors and their relationships on policy accomplishment and policy effectiveness in executing the forest resource promotion policy. Interview survey was conducted on the stake-holders such as government officers and civilians who have direct or indirect influences on the establishment and execution of the forest resource promotion policy. The forest resource promotion policy was heuristically analyzed by using the LISREL (Linear Structural RELations) Model. The policy accomplishments of forest resource promotion significantly showed the positive relations with the suitability of problem recognition, the suitability of policy decision-making and rationality of policy execution, while the degree of policy support and the policy accomplishments were having significant impacts upon the policy effectiveness. Since the path coefficients between the latent variables and observed variables and among the latent variables mostly showed the positive relations significantly, the forest resource promotion policy was evaluated very successful in terms of policy accomplishments and policy effectiveness.

• Journal of Korean Society for Geospatial Information Science
• /
• v.19 no.4
• /
• pp.47-53
• /
• 2011

As global warming and has caused the number of abnormal changes, much damage has occurred recently in Korean Peninsula from natural disaster. To prevent and cope with these annually repeated natural hazards, scientific analysis are needed in Disaster Management, including systematic management. In this study, As part of scientific disaster prevention measures, digital image based hazard map for solution to overcome the existing hazard map with schematic representation was constructed. which was combined digital image, digital map and hazard information, and than hazard information system was developed using the hazard map. The hazard information map and hazard information system are able to provide great service to the public and to support quick decision making for hazard management and analysis of natural hazard damage.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.5
• /
• pp.3058-3068
• /
• 2014

This experimental research is aimed to apply a health promotion program based on Cox's interaction model to such college students as are on the brink of dyslipidemia, so as to investigate the effects of the program on the subjects' blood lipid indexes including total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoproteins (LDL). The subjects are 39 in all including the experimental group comprising 20 and the control group comprising 19. The analyses applied include descriptive statistics using SPSS WIN 18.0, $X^2$-test, independent t-test, and paired t-test. By means of nursing interventions which are an element of client-professional interaction, the following were offered including health information (exercise management, dietary management, health education), emotional support (sharing of experiences, encouragement, self expression), decision-making controlling (counselling by phone), and professional/ technical abilities; and blood lipid indexes were measured before and after the interventions. The results of this research found that TC, TG and LDL decreased significantly and HDL increased significantly in the experimental group, which indicates that the health promotion program was effective.

• Journal of Preventive Medicine and Public Health
• /
• v.54 no.5
• /
• pp.301-308
• /
• 2021

Objectives: Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses. In this study, we aimed to review health-related epidemiological research using spatio-temporal analyses and to observe methodological trends. Methods: Health-related studies that applied spatial or spatio-temporal methods were identified using 2 international databases (PubMed and Embase) and 4 Korean academic databases (KoreaMed, NDSL, DBpia, and RISS). Two reviewers extracted data to review the included studies. A search for relevant keywords yielded 5919 studies. Results: Of the studies that were initially found, 150 were ultimately included based on the eligibility criteria. In terms of the research topic, 5 categories with 11 subcategories were identified: chronic diseases (n=31, 20.7%), infectious diseases (n=27, 18.0%), health-related topics (including service utilization, equity, and behavior) (n=47, 31.3%), mental health (n=15, 10.0%), and cancer (n=7, 4.7%). Compared to the period between 2000 and 2010, more studies published between 2011 and 2020 were found to use 2 or more spatial analysis techniques (35.6% of included studies), and the number of studies on mapping increased 6-fold. Conclusions: Further spatio-temporal analysis-related studies with point data are needed to provide insights and evidence to support policy decision-making for the prevention and control of infectious and chronic diseases using advances in spatial techniques.

• Journal of Korea Port Economic Association
• /
• v.35 no.1
• /
• pp.97-116
• /
• 2019

National industrial complexes, airports, and seaports are major logistics nodes and the availability of their logistics services is a key factor for the successful operation of entire supply chains. For this reason, the central government has established a plan for their development and is investing in development projects. However, some difficulties exist in project prioritization and investment plan creation owing to the absence of a clear appraising method. For a smooth flow of national logistics and efficient investment on facilities, it is necessary to diagnose the logistics facilities' present conditions and practice sustainable management. In this study, a diagnostic method for logistics services, which consists of service factors and facility factors, is proposed. Adopting the method, facility factors can be prioritized to improve facilities' services; further, a standard procedure is proposed to support decision making for effective investments in logistics facilities. The method is applied to actual logistics facilities (three national industrial complexes, three seaports, and two airports) and the results indicate that it can be effectively applied to actual logistics facilities.

• Quality Improvement in Health Care
• /
• v.24 no.2
• /
• pp.62-75
• /
• 2018

Purpose: The objective of this study was to publicly report the hospital-level surgical volume for 7 types of surgery including gastrectomy. Also, to investigate the changes in patient behaviors after the public reporting among patients with gastrectomy. Methods: This study used data from the National Health Insurance Service Cohort. The data comprised of 2,214 patients who were diagnosed with gastric cancer and underwent gastrectomy during 2004-2012. An interrupted time series analysis was performed to investigate the association between patients' choice and public reporting. Results: 79.27% of the patients visited a hospital with high surgical volume. The time trend after introduction of public reporting was positively associated with visiting a high volume hospital (per 1 month, RR: 1.004, p=0.0329). However, after adjusting the health policies by reducing copayment, public reporting on surgical volume was not associated with visiting a high volume hospital. Sub-group analyses had also similar results. Conclusion: Patients were more affected by policies on economic support than on public reporting, and the changes in treatment options may have been affected by the increasing preference for large size hospitals. Thus, public reporting did not significantly improve the options available for patients and their decision making on health care utilization.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.4
• /
• pp.1-9
• /
• 2021

In this paper, we propose a training algorithm of support vector machine (SVM) with a sensitive variable. Although machine learning models enable automatic decision making in the real world applications, regulations prohibit sensitive information from being used to protect privacy. In particular, the privacy protection of the legally protected attributes such as race, gender, and disability is compulsory. We present an efficient least square SVM (LSSVM) training algorithm using a fully homomorphic encryption (FHE) to protect a partial sensitive attribute. Our framework posits that data owner has both non-sensitive attributes and a sensitive attribute while machine learning service provider (MLSP) can get non-sensitive attributes and an encrypted sensitive attribute. As a result, data owner can obtain the encrypted model parameters without exposing their sensitive information to MLSP. In the inference phase, both non-sensitive attributes and a sensitive attribute are encrypted, and all computations should be conducted on encrypted domain. Through the experiments on real data, we identify that our proposed method enables to implement privacy-preserving sensitive LSSVM with FHE that has comparable performance with the original LSSVM algorithm. In addition, we demonstrate that the efficient sensitive LSSVM with FHE significantly improves the computational cost with a small degradation of performance.