• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.339-349
• /
• 2019

The purpose of this study is to analyze the influential factors on the change in life satisfaction of elderly households. In this study, single and couple elderly households were defined as elderly households and the 2nd, 3rd, and 4th data of the Korean Longitudinal Survey of Ageing (KLoSA) provided by the Korea Employment Information Service (KEIS) were used. And 677 respondents aged 65 and over who had replied to all 3 sessions were included in the final subjects. multinomial logistic regression analysis was conducted to examine the influential factors on life satisfaction by the type of elderly households according to consumption pattern and the result showed that there were common influential factors such as house owning status and subjective health status and the factors that influence specific types such as expectancy of standard of living. In addition, in the longitudinal analysis of life satisfaction of elderly households, individual satisfaction level was confirmed to reduce with time and the factors that influence the longitudinal change in the level of life satisfaction of elderly households was analyzed through the conditional model of a latent growth model. The analysis results showed that household type, house owning status, and subjective health status influenced the initial value of life satisfaction of elderly households while household type and expectancy of living standard influenced the change rate of life satisfaction of elderly households. Based on the results of this study, the followings are suggested. There is a need to improve the life satisfaction of old age by increasing the opportunity for self-realization of elderly households and also policy approach should be made selectively taking various types into consideration.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.4
• /
• pp.275-283
• /
• 2019

The purpose this study is to analyze how human resources in culture and arts education use the contents of Arts Academy training program in the field, and to suggest implications and improvements of the training for strengthening the competence of professional manpower. For this purpose, an online survey was conducted for the participants of the Arte Academy training program to investigate the actual application rate. As a result of the analysis, overall application of the training was high. However, the work-site application was divided into indirect and direct applications. Indirect application showed higher results than direct application. This shows that the training is effective in terms of strengthening the participants' personal competence, but they are somewhat lacking in applying the contents learned in the training directly in the field. Indirect application is a result of training and is a necessary part of strengthening competence. However, considering that culture and arts education is a consumer-oriented policy that enjoys culture and art, it needs to be strengthened more directly in the field, and the competence of the applicant should be applied to the field more smoothly. The Korea Arts & Culture Education Service needs to review and implement such a training that has a higher direct application than indirect application.

• Journal of Climate Change Research
• /
• v.1 no.3
• /
• pp.219-226
• /
• 2010

This study is analyzed the financial feasibility of biomass power plant in China in terms of fuel marginal price of biomass power plant. The range of fuel price is 150~300 RMB and IRR(Internal Rate of Return), NPV(Net Present Value), DSCR(Debt Service Coverage Ratio) and operation time are analyzed by 10 RMB from 150 RMB. The sensitivity of IRR went down by 1.35 on average. The sensibility of NPV showed big difference by 20% on 260 RMB and 270 RMB. In addition, DSCR of loan is at 1.0 at raw cost of 242 RMB and at lower than 1.0 when the raw cost over 242 RMB. It means that the pay-off of principal and interest of the loan is expected to be difficult in that case. The operation time of power plant should be 88% against standard operation time to maintain over 1.0 of DSCR. Therefore, the factors affecting the cost of raw material to build the power plant and to operate it should be prioritized.

• International Area Studies Review
• /
• v.13 no.3
• /
• pp.413-438
• /
• 2009

Tourism is an attractive field of industry to many countries due to its strong potentials in increasing employment rates as well as improving the national image. The positive effect of the tourism on the national economy and globalization has been recognized in Korea. A multilateral effort has been made in order to develop its tourist industry. Therefore, it is necessary to analyze the patterns of tourism demand in Korea. The present study analyzes and demonstrates the effects of a nation's characteristics on tourism demand. The study model was based on factors that affected tourism demand, especially emphasizing on the economic size, distance, national income, and language differences from the mother country. In particular, this study highlights the effects of economic relations between the countries and their exchange rate on tourism demand. In summary, this thesis demonstrates that actual national and international panel data enhance the credibility of the research and precisely determine factors that have a direct influence on tourism demand. A corresponding strategy of development and products are required as most tourists show the preference in advanced nations.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.11
• /
• pp.126-136
• /
• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.9
• /
• pp.504-509
• /
• 2019

Recently, both wireless communications technology and the performance of small devices have developed exponentially, while the number of services using various types of Internet of Things (IoT) devices has also massively increased in line with the ongoing technological and environmental changes. Furthermore, ever more devices that were previously used in the offline environment-including small-size sensors and CCTV-are being connected to the Internet due to the huge increase in IoT services. However, many IoT devices are not equipped with security functions, and use vulnerable open source software as it is. In addition, conventional network equipment, such as switches and gateways, operates with vulnerabilities, because users tend not to update the equipment on a regular basis. Recently, the simple vulnerability of IoT devices has been exploited through the distributed denial of service (DDoS) from attackers creating a large number of botnets. This paper proposes a system that is capable of identifying Internet-connected devices quickly, analyzing and managing the vulnerability of such devices using Internet-wide scan technology. In addition, the vulnerability analysis rate of the proposed technology was verified through collected banner information. In the future, the company plans to automate and upgrade the proposed system so that it can be used as a technology to prevent cyber attacks.

• Journal of Broadcast Engineering
• /
• v.24 no.1
• /
• pp.132-141
• /
• 2019

The necessity of transmitting video data over a narrow-bandwidth exists steadily despite that video service over broadband is common. In this paper, we propose a scalable video coding framework for low-resolution video transmission over a very narrow-bandwidth network by super-resolution of decoded frames of a base layer using a convolutional neural network based super resolution technique to improve the coding efficiency by using it as a prediction for the enhancement layer. In contrast to the conventional scalable high efficiency video coding (SHVC) standard, in which upscaling is performed with a fixed filter, we propose a scalable video coding framework that replaces the existing fixed up-scaling filter by using the trained convolutional neural network for super-resolution. For this, we proposed a neural network structure with skip connection and residual learning technique and trained it according to the application scenario of the video coding framework. For the application scenario where a video whose resolution is $352{\times}288$ and frame rate is 8fps is encoded at 110kbps, the quality of the proposed scalable video coding framework is higher than that of the SHVC framework.

• Physical Therapy Korea
• /
• v.26 no.2
• /
• pp.34-48
• /
• 2019

Background: Fall-related injuries in older adults are a major health problem, and the risks and mechanisms of these injuries should be affected by race, culture, living environment, and/or economic status. Objects: Research articles have been systematically reviewed to understand fall-related injuries in older adults in South Korea. Methods: 128 published research papers have been found through the Korea Citation Index and the Korean Studies Information Service System, and reviewed in various perspectives, including incidents, fall death rates, medical costs, causes, injury sites and types, locations where falls occurred, prevention strategies, scholarly fields interested in fall injuries, and the role of physical therapy. Results: Fall-related injuries were found to be more common in women than in men, and the number of incidents increased with age, with the highest rate found in individuals over 85 years old. Risk of fall injury was associated with education level, comorbidities, and fear of falling. Common places where falls occurred included the bathroom, living room, stairs, and hallway. Common types of injury included bruises, fractures, and sprains in the lower extremities. Intervention strategies included exercise programs, education, and protective clothing. Scholarly fields interested in fall-related injuries in older adults included medicine, nursing, physical therapy, occupational therapy, physical education, pharmacology, oriental medicine, biomedical engineering, design, clothing, and textiles. Physical therapy intervention using proprioceptive neuromuscular facilitation has been used to improve one's balance. Conclusion: Any movement during the activities of daily living can lead to a fall. Physical therapists are highly educated to analyze human movements and should be involved in more research and practices to solve fall-related injuries in older adults.

• Journal of Korean Society of Health-System Pharmacists
• /
• v.35 no.4
• /
• pp.418-429
• /
• 2018

Background : To improve medication adherence in elderly patients, the role of pharmacists in teambased services has been highlighted in the literature. However, not much is known about the role and the service elements involved in comprehensive geriatric programs in South Korea. This study was designed to describe the current status of medication adherence in geriatric patients based on the comprehensive geriatric assessment program and analyze the predictive factors for medication adherence in a tertiary teaching hospital. Methods : A retrospective cohort study was performed using electronic medical records of 247 patients from March 1st, 2015 to August 31st, 2015. Medication adherence and the types of non-adherence were also collected. Predictive factors for adherence were evaluated by including factors related to demographics, medications, illness, and patterns of medical usage. Results : The mean age of the study population was 81.2 years (range 65~98 years) and they were taking 9.7 drugs on an average (SD 5.0 drugs). The overall rate of non-adherence was 34%. About 48% of the patients had any forms of assistance in the medication administration. The most common type of non-adherence was "self-adjustment". The multivariate analyses revealed that age (adjusted odds ratio, 0.87 [95% CI, 0.80-0.96]; p 0.05) and the number of inappropriate medications (adjusted odds ratio, 0.59 [95% CI, 0.40-0.89]; p 0.05) were strong predictors for non-adherence. Conclusions : These results indicate that strategic considerations of the predictors of non-adherence should be improved in medication counseling services targeting elderly patients.

• KIPS Transactions on Computer and Communication Systems
• /
• v.10 no.8
• /
• pp.215-222
• /
• 2021

In order to alleviate the limited resource problem and interference problem in cellular networks, the dual connectivity technology has been introduced with the cooperation of small cell base stations. In this paper, we design a new efficient and fair resource allocation scheme for the dual connectivity technology. Based on two different bargaining solutions - Generalizing Tempered Aspiration bargaining solution and Gupta and Livne bargaining solution, we develop a two-stage radio resource allocation method. At the first stage, radio resource is divided into two groups, such as real-time and non-real-time data services, by using the Generalizing Tempered Aspiration bargaining solution. At the second stage, the minimum request processing speeds for users in both groups are guaranteed by using the Gupta and Livne bargaining solution. These two-step approach can allocate the 5G radio resource sequentially while maximizing the network system performance. Finally, the performance evaluation confirms that the proposed scheme can get a better performance than other existing protocols in terms of overall system throughput, fairness, and communication failure rate according to an increase in service requests.