• Journal of Digital Convergence
• /
• v.8 no.1
• /
• pp.1-10
• /
• 2010

Since 2004, the Korean government has been engaged in u-IT new technology verification projects in an effort to level up the industries. Recently, cases are reported that RFID/USN technology has been adopted and applied to business processes, mainly by large enterprises. However, further policies and support for the industries have been restrained because of unavailability of essential data for policy making. Therefore, the study examined the level of satisfaction among the actual recipient organizations from the 27 pilot projects to draw implications from the study result. Accordingly, the level of satisfaction was assessed in four project phases from RFID/USN building, utilization (technical quality), utilization (business quality), to maintenance. The study result showed that the technical stability reached a significant level but the level of satisfaction in the maintenance phase for the utilization and proliferation of the technology remained at the lowest. It suggested that a more specified policy support is needed in the maintenance phase to include inexpensive supply of tags and devices, a maintenance establishment of consortium to maintain reliability and continuity of service, strengthening internal competence of the beneficiary organizations for utilization of RFID/USN.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.47 no.2
• /
• pp.3-12
• /
• 2005

The objective of this study is securement of upland irrigation water using storage level management of small dams. However, it is not new development of water resources but securement of water using storage level management of existing dam. This study has enhanced the water utilization coefficient of dam, after extra available water had been calculated by application of periodical management storage level and this water is used to other water like the upland irrigation water demand. As the result of application, it can secure extra available water except the water requirement. Minimum extra available water except flood is about $20,000,000\;m^3$ and crop irrigation water demand of 10yr frequency is about $2,033,000\;m^3$ in Seongju. The utilization of crop irrigation water can be possible. And extra available water is about $3,102,000\;m^3$ in 2000, $1,959,000\;m^3$ in 2001 except flood period and crop irrigation water demand of 10yr frequency is about $2,272,000\;m^3$ in Donghwa. It is judged that extra available water cannot be used to crop irrigation water during the dry season in Dongwha. Consequently, when management storage level is determined and more efficient use of water is gotten like this study, water utilization coefficient will be enhanced.

• Asian-Australasian Journal of Animal Sciences
• /
• v.7 no.2
• /
• pp.207-212
• /
• 1994

Effects of dietary cellulose and protein levels on nutrient utilization in chickens were investigated. Four experimental diets containing 5% (low cellulose) or 20% (high cellulose) cellulose in combination with 10% (low protein) or 20% (high protein) protein of 70 g/day were alternatively forced-fed to eight colostomized White Leghorn cockerels once a day to make $4{\times}4$ Latin-square design. The digestibilities of DM and energy decreased with the increase in cellulose level, but not affected by dietary protein level. Ether extract digestibility was higher in the high cellulose diets than in the low cellulose protein level. Ether extract digestibility was higher in the high cellulose diets than in the low cellulose diets. The digestibility of nitrogen free extract had the same trend with the digestibility of DM and energy. The digestibility of acid detergent fiber was not so much different among the diets, but the NDF digestibility was lower in the high cellulose diets than in the low cellulose diets, due to the low hemicellulose digestibility. The true digestibility of protein was influenced by both of the dietary protein and cellulose levels, and their interaction was found. The dietary protein level affected the biological value of protein but the dietary cellulose level did not, and consequently the biological value of protein in the low protein diets was lower than in the high protein diets.

• The Korean Journal of Health Service Management
• /
• v.8 no.3
• /
• pp.49-61
• /
• 2014

Due to the rapid population's aging, the life span's expansion and social & cultural characteristics, the standards of age classes in senescence are changed. Thus, this study aimed to identify the influential factors on health care utilization in the elderly by age class, and targeted 2,937 adults in their ages over 55 years old from the Korea Health Panel's 2009 Yearly Integrated Data. This study investigated the target health care utilization in the elderly in relation with the gender, the education level, the health-care insurance type, the income, the current job state, the chronic disease. In order to analyze the influential factors on health care utilization in the elderly, the multiple linear regression analysis was conducted to the data. As the results from this study, Concerning the influential factors on the health care utilization, the income, the subjective health state, the chronic disease and the regularly meals for the young-old influenced. Concerning the influential factors on the health care utilization, the subjective health state for the old. Concerning the influential factors on the health care utilization, the subjective health state, the income for the older-old influenced. Concerning the influential factors on the health care utilization, the education level, the spouse, the economic activity and the drinking oldest-old influenced. Therefore, it will need to provide systemic health-care & medical services, to develop health-care & medical programs and the health-care & medical policies and to execute them according to the age classes in senescence.

• Korean Journal of Social Welfare Studies
• /
• v.44 no.2
• /
• pp.359-385
• /
• 2013

The study looked into the effect of internet utilization (utilization frequency and utilization ability in internet) on the life satisfaction level for the elderly in depth. In order to verify the correlation of two variables, a mediating model structured by ego integrity was used which gave out the Seoul welfare panel data created by Seoul welfare foundation in 2010. The total sample size was a group of 1862 elders aged over 60. When it came to our research methods, structured equation analysis was applied to verify the mediating effect and theoretical background. The findings are as follows: First, elderly's utilization frequency in internet is not an influencing factor to life satisfaction and elderly's utilization ability in internet is an influencing factor to life satisfaction. Second, the level of social activity did function as partial mediator on relationship between elderly's utilization ability in internet and life satisfaction. This study indicates theoretical and practical interventions to promote elderly's utilization in internet.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.1
• /
• pp.413-435
• /
• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.

• Journal of Preventive Medicine and Public Health
• /
• v.29 no.2 s.53
• /
• pp.311-329
• /
• 1996

This study was designed to compare the level of medical utilization between the urban and rural areas of Korea and to explain the differences between the two regions. Data from the National Health Interview Survey performed by the Korean Institute of Health & Social Affairs in 1992 were used for this study utilizing a sample size of 21,841 people. The level of medical utilization such as the number of physician visits and the number of hospital admissions was compared between the regions with ANOVA. Various determinants for medical use were also compared by univariate analysis. Statistical models which included enabling factors, predisposing factors, need factors and region were constructed for bivariate analysis in order to further elucidate the level of medical utilization. The results were as follows: 1. There was greater medical use, both in terms of physician visits and inpatient care in the rural areas in spite of insufficient health resources. The particular reasons for higher medical utilization in rural areas were attributed to a higher number of initial physician visits as well as a longer the length of stay per hospital admission. Therefore, indicators representing the degree of met need (utilization/need) showed no significant difference between rural and urban areas in spite of the fact that the medical need is larger in rural areas. 2. Use of public health facilities received a significant portion of physician visits in the rural area. The government's effort to enhance primary health care through health centers, health subcenters and the nurse practitioner's post in rural areas has contributed to the increase of access to medical care in the rural areas. 3. There were some differences in the socio-demographic characteristics between two regions ; There were more elderly people over the age of 65: unstable marital status, less education and lower incomes also characterized the rural areas. Therefore, among rural people, there were more predisposing factors for medical use. Additionaly, need factors such as poor self-reported health status and high morbidity level were also high in the rural area. 4. In contrast it was learned that, the supply of health resources was mostly concentrated in the urban areas except for public health facilities. Therefore, geographical access to medical care was lower in the rural area both in terms travel time and travel cost. 5. The coefficient of the region variable was insignificant in the regression model which controlled the supply factor only. However, utilization was significantly higher in urban areas if the model included predisposing factors and need factors in addition to the supply factor. The results were interpreted as rural people have greater medical needs.

• Journal of Information Technology Applications and Management
• /
• v.21 no.1
• /
• pp.53-67
• /
• 2014

In recent years, more data is being generated for the activation of the SNS, the spread of Smartphones and the development of IT technology. Therefore, it is to collect large amounts of data, analyze and ensure meaningful information has become important. The use of these data are formed on the global trend. Big data so-called, has attracted attention as a source of new business. Big Data can then give us the opportunity to be able to create a new customer and diversify the business. So, many companies have investment and effort for big data utilization. However, technology, infrastructure, human resources is different for each of the companies. Therefore, it is necessary to diagnose the level of big data utilization companies. In this study, through a literature review of existing, we derived the success factors for the big data utilization. And developed a diagnostic indicator that allows success factors derived, can be used to determine levels of big data utilization of the company. In addition, as a development of diagnostic indicators, were carried out case studies to diagnose company. Through this study, it will be an opportunity to be able to be reflected in the strategy of big data utilization company.

• Journal of Korean Academy of Nursing
• /
• v.42 no.2
• /
• pp.199-206
• /
• 2012

Purpose: This study was done to identify the impact of physical activity on healthcare utilization among Korean adults. Methods: Drawing from the 2008 Korean National Health and Nutrition Examination Survey (NHANES IV-2), data from 6,521 adults who completed the Health Interview and Health Behavior Surveys were analyzed. Association between physical activity and healthcare utilization was tested using the $X^2$-test. Multiple logistic regression analysis was used to calculate the odds ratios of using outpatient and inpatient healthcare for different levels of physical activity after adjusting for predisposing, enabling, and need factors. A generalized linear model applying a negative binomial distribution was used to determine how the level of physical activity was related to use of outpatient and inpatient healthcare. Results: Physically active participants were 16% less likely to use outpatient healthcare (OR, 0.84; 95% CI, 0.74-0.97) and 23% less likely to use inpatient healthcare (OR, 0.77; 95% CI, 0.63-0.93) than physically inactive participants. Levels of outpatient and inpatient healthcare use decreased as levels of physical activity increased, after adjusting for relevant factors. Conclusion: An independent association between being physically active and lower healthcare utilization was ascertained among Korean adults indicating a need to develop nursing intervention programs that encourage regular physical activity.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.16 no.2
• /
• pp.330-338
• /
• 2010

Purpose: This study was conducted to investigate performance of self-monitoring of blood glucose and the utilization of results for people with type II diabetes. Method: Data was collected from 177 patients with type II diabetes using a questionnaire from August to September, 2009. Result: Most participants performed self-monitoring of blood glucose in the correct way while some misused the lancet or test strips. In the utilization of results for self-monitoring blood glucose data, 62% of participants always recorded the data, 46% always understood the cause for hyperglycemia or hypoglycemia, 25% changed their diet, 23% regulated their exercise-amount, and 11% of participants adjusted the drug dosage. There were significant differences in the performance of self-monitoring of blood glucose and the utilization of results according to the characteristics in the self-monitoring subjects such as awareness of HbA1c, target fasting glucose level, target fasting glucose level 2 hours after meal etc. Conclusion: Systemic self-monitoring of blood glucose education which includes the utilization of self-monitoring of blood glucose needs to be developed for type II diabetic patients.