• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.498-508
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• 2020

This study was a descriptive research study performed to identify the degree and correlation of variables and also explain the factors that influence self-efficacy of diabetes management. The participants were 150 diabetes patients who visited a primary medical institution in K city in Korea from September 17, 2015, to October 15, 2015. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation coefficients, and multiple regression with SPSS 18.0. Significant differences in age and education were detected in self-efficacy of diabetes management according to general characteristics. The levels of self-management knowledge and diabetes management self-efficacy were shown to be positively correlated. The levels of diabetes management self-efficacy and distress as well as levels of self-management knowledge and distress were shown to be negatively correlated. The significant factors influencing diabetes management self-efficacy were distress and self-management knowledge. The results suggest that appropriate diabetes management self-efficacy programs should be provided in order to improve self-management knowledge and decrease distress in type 2 diabetes patients. This study provides basic data to promote the effective education and development of arbitration in order to enhance self-efficacy of diabetes management.

• Survey Research
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• v.10 no.1
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• pp.113-139
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• 2009

It is desirable to use a monthly benchmarked construction indicator which contains the characteristics of statistical data in an annual survey in order to analyze the cyclical phenomenon of the construction activity. The benchmarked indicator is expected to improve the data quality in terms of accuracy, consistency, comparability, and completeness. In this paper, benchmarking methodologies of compiling monthly construction indicators arc researched by using a monthly prompt data holding short - term fluctuations and an annual survey data regarded as more accurate statistics than monthly data. The benchmarking is the methodology by which a high frequency data should he adjusted in order to hold the short-term and cyclical phenomena, and the long - term trend of two data groups with ensuring the consistency of an annual summation between a high frequency data and a low frequency data. This paper considered the numerical approach like pro rata distribution method, proportional Denton method, EFL or HP filter Benchmark - to - Indicator ratio method, and the model - based approach such as Chow and Lin method, $Fem{\acute{a}}ndez$ method. Also, the benchmarked construction indicators were estimated by early mentioned benchmarking methods with practical data, and these methods were empirically reviewed and compared. In case of construction indicators with severe seasonal fluctuations and irregulars, the numerical approach seemed to be performed more correctly than the model- based approach. Among numerical methods, the proportional Denton method used in general was a little nice. The HP filter Benchmark - to - Indicator ratio method may be considered with survey errors or measurement errors in an annual survey data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.146-170
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• 2017

Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients' traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users' mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows' routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied.

• Journal of Food Hygiene and Safety
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• v.28 no.2
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• pp.115-123
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• 2013

Food safety management should be based on scientific evidences. FAO and WHO presented risk analysis as one of four principles in food safety management. WTO also admits the self safety regulation only when it is made on the basis of risk assessment. Without scientific analysis, tracing and eliminating the cause of food poisoning is impossible. Research and development plays a key role to produce scientific evidences. The Korean government ran over 40 programs in 11 agencies from 2008 to 2010. However, there is no statistics on food safety R&D at present. In this research, food safety projects conducted from 2008 to 2010 are listed up by means of analysing National Science and Technology Information Service (NTIS). The analytical criteria are the name of programs, national standard classification of science and technology, and keywords. As result, Korea Food and Drug Administration, Ministry for Food, Agriculture, Forestry and Fisheries, and Rural Development Administration play major role in the food safety R&D. The portion of more than one year projects should rise up in order to achieve the data for risk assessment, which is strongly required to improve. Besides, the research should be deeper so as to publish more SCI papers. The R&D portfolio should be changed in direction to raise up the portion of biological hazards such as norovirus. In order to do so, a large number of food safety programs should be emerged. The categories of food safety management and the hygiene/quality management of the agricultural and livestock products in the national standard classification of science and technology should be emerged because they are set up reflecting agencies' interests in spite of few differences between them.

• Journal of Korea Water Resources Association
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• v.49 no.8
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• pp.685-692
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• 2016

This study aimed to develop the indicator-based approach to assess water use vulnerability in watersheds and applied to the unit watershed within the Han River watershed. Vulnerability indices were comprised of three sub-components (exposure, sensitivity, adaptive capacity) with respect to water use. The indicators were made up of 16 water use indicators. Then we estimated vulnerability indices using the Technique for Order of Preference by Similarity to Ideal Solution approach (TOPSIS). We collected environmental and socio-economic data from national statistics database, and used them for simulated results by the Soil and Water Assessment Tool (SWAT) model. For estimating the weighted values for each indicator, expert surveys for subjective weight and data-based Shannon's entropy method for objective weight were utilized. With comparing the vulnerability ranks and analyzing rank correlation between two methods, we evaluated the vulnerabilities for the Han River watershed. For water use, vulnerable watersheds showed high water use and the water leakage ratio. The indices from both weighting methods showed similar spatial distribution in general. Such results suggests that the approach to consider different weighting methods would be important for reliably assessing the water use vulnerability in watersheds.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.119-128
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• 2013

As ICT technology becomes advanced, the importance of future internet is emphasized and in part of that, M2M (Machine-to Machine communications) is magnified in terms of importance and usage in public and private sector. M2M is emerging as a next generation strategic industry but there is no existing analyzed data or market classification, so it disrupts establishing policies on the M2M industry. As the technology is progressing, the evolution from M2M to IoT (Internet of Things) has started and many countries actively try to find technological trend through market analysis in order to develop new growth engine. Therefore, in order to strengthen competitiveness, we should secure differentiated capabilities in industry and service. This article examines Korea's domestic market and international market trends in IoT and analyses the economic impact of the IoT industry using quantitative methodology and evaluates relations between the IoT industry and other relevant industries. As a result, the effect of IoT industry on production inducement is KRW474.6 billion; the effect on value-added inducement is KRW314.7 billion; and it is measured that 3,628 jobs will be created by the IoT industry.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.1
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• pp.31-37
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• 2015

The recent long-term economic recession and business depression are constantly increasing the occurence of the five major crimes(murder, robbery, rape, theft, violence). When looking into the previously-analyzed characteristics of how the five major crimes are committed, this study understands that the crimes mostly occur in these crime-ridden areas of poor public order and security and, in order to decrease the crime rates of the crime-prone areas, any relevant fields have been emphasizing the application of CPTED. In the light of that, referring to CPTED surveillance factors and the current crime rate data, the study presented ways to help the relevant fields draw up a crime-prone area grade map. In particular, the security center among monitoring elements was visualized by dividing it into point patrol and directed patrol and by dividing it into 3 steps monitoring levels with CCTV and street lights. In addition, we checked the crime rate by zoning through crime statistics occurred in the research areas and established a crime status map. We estimated the weight through AHP analysis on the built monitoring elements and the zoning of the occurred areas, as a result of making a map vulnerable to crime by monitoring steps by overlapping each element, we were able to confirm that 60% of theft, 52% of violence and 33% of rape in the 1st grade area were reduced compared to the 1st step in monitoring Step 3.

• Korean Journal of Health Education and Promotion
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• v.20 no.2
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• pp.127-147
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• 2003

The purpose of this study was to investigate the factors influencing health promoting behavior and satisfaction of life in female undergraduate students, to provide the basic data for health promoting intervention in order to improve satisfaction of life. The subjects of this study were 345 female undergraduate students living in Jecheon city who were selected by convenience sampling. The data was collected through self-reported questionnaires from Oct. 2 to Dec. 20, 2001. Research instruments used in this study were the health promoting lifestyle profile developed by Walker et al(1987), satisfaction of life developed by Pavot and Diener(1993), perceived health status by Lawston et al(1982), self-esteem by Rosenberg(1965), self-efficacy by Becker et al(1993), health locus of control by Wallston et al(1978). The data was analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with SPSS/Win program. The results of this study were as follows； 1) The mean score of health promoting behavior was 2.31 point out of 4. Among the sub-levels of health promoting behavior, the order of importance was the following self-actualization(2.76), interpersonal support(2.75), stress management(2.31), nutrition(2.06), health responsibility(1.83), exercise(1.76). The mean score of satisfaction of life was 4.11 point out of 7. 2) The health promoting behavior showed significant positive correlation with perceived health status, self-esteem, self-efficacy, internal health locus of control, powerful others health locus of control. The satisfaction of life showed significant positive correlation with perceived health status, self-esteem, self-efficacy, internal health locus of control, health promoting behavior. 3) In the relationship between general characteristics and health promoting behavior, there was a significant difference in majors(F＝8.50, p＝.000). In the relationship between general characteristics and satisfaction of life were significant differences in a grades(F＝2.67, p＝.04) and economic status of parents(F＝8.59, p＝.000) 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem and powerful others health locus of control accounted for 34.7% of the variance in health promoting behavior. The most powerful predictor of satisfaction of life was self-esteem. A combination of self-esteem, health promoting behavior, perceived health status, economic status of parents and grade accounted for 34.0% of the variance in satisfaction of life. In conclusion, we need a health promotion program focusing on exercise, health responsibility and nursing strategies enhancing self-efficacy and self-esteem should be developed to promote a healthy lifestyle and satisfaction of life in female college students.

• Journal of Families and Better Life
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• v.32 no.2
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• pp.99-116
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• 2014

Domestic PB products have emerged and been distributed by hypermarkets, department stores, convenience stores, as well as TV home shopping channels and Internet shopping malls. However, the fierce competition among the distributors due to the emergence of the PB products have caused the diversion of consumers' recognition to be reduced weight and volume as well as had the effect of misleading consumers about the prices. The width of the PB product price's up and down is larger than the width of the NB product. Thus, following consumers' purchases of PB products, there has been an increasing number of consumer complaints. In order to research consumers' recognition of PB products and to examine how consumers' recognition and information search comparative to PB products affect consumers' dissatisfaction, an online survey targeted consumers with experience purchasing PB products. This study was conducted and analyzed using SPSS 19 Statistics. The findings can be summarized as follows. Even though more consumers who frequently purchased and used the PB products, the more they compared with information search comparative to the NB product and then purchased the PB product. We investigated the result that the relevant variables of consumer complaints have some relative influence in the purchasing of PB products. There will be a higher probability o the group having high recognition about price and safety not making consumer complaints in comparison with the probability of other consumers making complaints after the purchase of a PB product. Therefore, based on the results of this study, companies need to build a system so that they can figure out consumers' needs in order to prevent the occurrence of consumer complaints related to the products of distribution companies' brands. By means of the system, it is also necessary for companies to collect consumer complaints and analyze them by category. Then they eventually should develop a consumer-centered management system which may contribute to quality improvement, product development and the reduction of consumer complaints.

• The KIPS Transactions:PartA
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• v.8A no.1
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• pp.16-26
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• 2001

This paper proposes an extended scheduler model that is an extension of the existing model proposed already in [4, 5], which consists of upper layer task scheduler and lower layer scheduling framework. However, in order to support aperiodic task scheduling, the task scheduler has been divided into two parts, such as periodic task control component and aperiodic task control component. Thus, the proposed model can support various bandwidth-preserving servers that can service aperiodic tasks. The model distinctly separates a classic monolithic kernel scheduler into several kernel components according to their functionality. This enables system developers to implement a new scheduling algorithm or aperiodic task server independent of complex low kernel mechanism, and reconfigure the system at need. In Real-Time Linux [6], we implemented the proposed scheduling framework representative scheduling algorithms, and server bandwidth-preserving servers on purpose to test. Throughout these implementations, we confirmed that a new algorithm or server could be developed independently without updates of complex low kernel modules. In order to verify efficiency of the proposed model, we measured the performance of several aperiodic task servers. The results showed this the performance of model, which even consisted of two hierarchical components and several modules, didnt have such high run-time overhead, and could efficiently support reconfiguration and scheduler development.