• Korean Journal of Health Education and Promotion
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• v.21 no.2
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• pp.87-100
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• 2004

Purpose： This study was to identify the degree of health-promoting behavior and quality of life and the factors influencing quality of life of solitary elderly in rural areas. Method： The subjects of this study were 202 solitary elderly, and 65-89, who had been living in four rural areas. Data was collected through 4 questionnaires from July 10th, 2003 to August 30th, 2003. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Duncan's multiple-range test, Pearson correlation coefficient and Stepwise multiple regression with SPSS/PC. Results： The average item score for the health-promoting behavior was 2.43； the highest score on the subscale was self-actualization (M＝2.58) with the lowest being exercise (M＝2.05). 2) The average item score for the quality of life was 2.81； the highest score on the subscale was neighbor relationships (M＝3.27) with the lowest being economic conditions (M＝2.24). There were significant differences in the health-promoting behavior by educational level and leisure-activity, in the quality of life by age and religion. Quality of life scores correlated negatively with depression scores (r＝-.063, p＝.000) and positively with health-promoting behavior (r＝.144, p＝.000), social support scores (r＝.383, p＝.000). Stepwise multiple regression analysis for quality of life revealed that the most powerful predictor was health-promoting behavior. Health-promoting behavior, social support, depression and age explained 51.8％ of the variance. Conclusion： These results suggested that elderly people in rural areas with high degree of quality of life are likely to be high in health-promoting behavior and social support and low in depression. Therefore, it is necessary to develop health promotion programs in due consideration of health-promoting behavior and social support and depression in order to enhance the quality of life of solitary elderly in rural areas.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.156-166
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• 2020

In this study, through an AHP (Analytic Hierarchy Process) analysis, the internal construction project was designed to analyze the factors affecting the performance of the project and provide suggestions on the quality of communication. To carry out this study, a selection factor was selected by referring to AHP theory and existing prior research. AHP technique was used to collect weights after analysis, examine and analyze gaps. In the interior construction project, the most important factor among the factors influencing the quality of communication to the project performance was communication interaction. Among the sub-factors, accuracy of exchange of information and timeliness of communication were shown in the order of importance. Looking at the results of comprehensive analysis of the first and second layers, the accuracy of information exchange among the elements of communication quality was found to be the number 1 in weight. The timeliness of communication, which is ranked second, and communication that takes place at an appropriate time can lead to efficiency in shortening the project execution period by eliminating unnecessary work. And, Among the factors that affect communication quality, it was analyzed that communication method is not an important factor when compared to other factors. This study shows that quality of communication influences the performance of interior construction projects and provides suggestions for improving communication quality. And it has been confirmed that managing communication quality can act as an important issue that can improve business performance in project execution and production of results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.68-77
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• 2010

Wireless sensor networks are installed in various environments and collect sensing data through wireless links. The quality of a wireless link may be unstable due to environment causes and hardware performance in wireless sensor networks. Since the change of the link quality may cause data loss, sensor nodes need to adaptively estimate the change of the link quality. Also, the routing protocol should deal with this situation. In this paper, the adaptive link quality estimation and routing scheme in the large-scale wireless sensor networks are proposed. When the quality of a link is unstable, sensor nodes agilely estimate the quality of links, and the new route is selected. When quality of a link is stable, the link quality is occasionally estimated so that the energy consumption is reduced. Moreover, sensor nodes exchange less beacons in order to reduce an overhead in dense networks. In the case of sparse network, the sensor nodes exchange more beacons for finding a better route. We prove that the proposed scheme can improve the energy efficiency and reliability.

• Industry Promotion Research
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• v.2 no.2
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• pp.45-52
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• 2017

this study, the problem of the quality is analyzed by questionnaire analysis of the current quality managers, and the German meister system, the Japanese name deduction system, the functional manager, and the quality manager system. First, we set up a quality guide selection classification guide model. Secondly, we set up a model for combining experience and expertise with theory. Third, we set up a quality brand application model to enhance competitiveness of SMEs. Fourth, The basic model is presented. The expected effects of these models are that, in the knowledge-based economy, in terms of identifying, fostering, and utilizing superior talents, quality experts combine academic theories and experience in each field to provide core expertise and knowledge, As a transformative leader and expert, we will become a leader of innovation activities by enhancing corporate competitiveness, developing younger leaders, and cooperating with suppliers. In order to strengthen competitiveness of SMEs, It will be possible to scale and cultivate the technology of SMEs.

• Korean Journal of Soil Science and Fertilizer
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• v.37 no.6
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• pp.357-364
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• 2004

Modern agriculture depending on chemicals such as fertilizers and pesticides gave rise to questions about long-term sustainability of agriculture in relation to degradation of soil quality. Improving soil quality is prerequisite to sustain biological productivity, maintain environmental quality, and promote plant and animal health. Assessment and monitoring of the health and quality of soil is necessary to provide opportunity to evaluate and redesign soil management system for sustainability. To develop the soil quality assessment method, we collected national data on soil properties of paddy and upland and attempted to evaluate the data in aspect of soil quality by the process of selecting a minimum data set (MDS), scoring the soil properties and calculating soil quality index (SQI) integrating the score of each soil property. This approximation indicated that soil quality index was in the order of paddy soil, upland soil and plastic film house soil.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.53-64
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• 2013

The existing research on the QoS of the Streaming video system(SVS) adjust the video stream being sent from the network perspective, the focus is to prevent data loss and delay. The other hand, changing the quality of the video stream will not receive the guaranteed QoS from the perspective of the users who want uniform quality. In order to solve these problems, this paper applied to ensure that the benefits in the amount of bits per frame occurs Encoder CBR streaming video is kept constant and uniform picture quality advantages of VBR streaming video VBR to CBR Encoder and CBR to VBR Decoder, Video was designed to control the playback stream for And to ensure a uniform quality of the user based on the design and implementation of uniform quality guaranteed SVS. PSNR evaluated for several characteristics of the sample video to demonstrate the superiority of the SVS ensure uniform quality, the proposed Performance evaluation of the SVS ensure uniform quality CBW the ABR from 100% to ensure uniform image quality from 85% to environmental excellence is proved.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.9
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• pp.1448-1457
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• 2019

Objective: The present work aimed at evaluating the effects of carcass quality grade (QG) on the quality characteristics of pork meat according to Korean carcass QG system. Methods: Pork carcasses with varying in QG: 1+ (QG1+, n = 10), 1 (QG1, n = 10) and 2 (QG2, n = 10), were used to evaluate the relationship between carcass QG and meat quality. The meat quality traits, fatty acid profiles, flavor compounds and sensory qualities were measured on the longissimus dorsi muscle samples of these carcasses. Results: Pork meat of higher QG (QG1+) presented significantly higher fat content (5.43%), C18:2n-6 level (19.03%) and total unsaturated fatty acids content (62.72%). Also, the QG1+ meat was significantly higher in levels of classes of flavor compounds such as aldehydes, alcohols and hydrocarbons in comparison to those of the meat samples from the lower QG groups. The sensory evaluation results (flavor, juiciness, tenderness, and acceptability scores) of QG1+ meat was significantly higher than the QG1 and QG2 meats. The pork with lower QG (i.e., QG2) was found positively correlated to redness (r = 0.987), C18:1n-9 level (r = 1.000) but negatively correlated to the fat content (r = -0.949), and flavor (r = -0.870), juiciness (r = -0.861), tenderness (r = -0.862) and acceptability (r = -0.815) scores. Conclusion: The pork with higher QG had higher fat content, total unsaturated fatty acids and better eating quality, thus producing pork with higher QGs should be considered in order to satisfy the consumer's expectation.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.17-32
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• 2019

Purpose: CMMI is a process model used to assess or improve an organization's software development capabilities. This paper deals with the quality indicators when using CMMI and their priorities for possible improvement. Methods: The 22 process areas and 167 practices of CMMI are matched with 60 indicators of Quality Scorecard(QSC) first to analyze the balance of CMMI in terms of prevention, appraisal, and final result categories and second to isolate a set of key areas for quality focused performance measures. Results: A total of 86.2% (144 out of 167) CMMI practices were mapped to QSC. According to the CMMI level of maturity, level 2 and 3 accounted for more than 75% of the total. The practices at the maturity level of 4 and 5 were mapped to more than 52% of the final result's measurements. It has been observed that CMMI practices need further elaboration at higher levels to consider prevention, appraisal, and final results simultaneously. Conclusion: In order to improve the quality performance of the organization by applying CMMI, the final result measures should be refined in metrics, cycles, and methods, and then corrective actions could be conducted to improve the performance of CMMI practices. This strategy would help the practitioners benefit from CMMI in fostering the overall quality level of key activities for the organization's business goals.

• Journal of Sasang Constitutional Medicine
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• v.33 no.3
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• pp.127-137
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• 2021

Objectives The purpose of this study was to identify the effects of personality by each Sasang constitution on sleep using Positive Affect and Negative Affect Schedule(PANAS) and NEO-personality inventory(NEO-PI). Methods The subjects of this study were 2,078 people who had information on Sasang constitutional type and personality(PANAS, NEO-PI) among the data established at the Korean Medicine Data Center. Sleep time and sleep quality were investigated through self-written questionnaires. Sleep time was collected by hand-writing, and sleep quality was checked on a 4 point Likert scale. Pearson correlation analysis was conducted to see the correlation between personality and sleep in each constitutional type. Logistic regression was performed using personality as independent variables to find out how much personality affects sleep time. In order to find out how much personality affects sleep quality, regression analysis was performed using personality as independent variables. Results & Conclusions Sleep time was hardly affected by personality. As a result of Pearson correlation analysis, sleep time in all subjects did not show a significant correlation with personality. In logistic regression on sleep time as the dependent variable, no statistically significant results were obtained except for the Negative Affect(NA) in Taeeumin. Sleep quality showed a statistically significant correlation with the negative affect(NA), neuroticism(N), extraversion(E), Physical Component Summary(PCS) and Mental Component Summary(MCS). As a result of regression analysis on sleep quality as the dependent variable, neuroticism(N), negative affect(NA), positive affect(PA), and extraversion(E) were found in the factors affecting sleep quality. Besides, how much personality affected sleep quality might differ in each constitution. In all constitutions, sleep quality was affected by N, but the rank of N was different in each constitution. The sleep quality of Soyangin was not affected by E, and the sleep quality of Taeeumin was specifically affected by O.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.11
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• pp.1451-1456
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• 2020

Depending on the size and complexity of the game, interest in game quality control is increasing. The quality of the game can be evaluated through fun and stability tests, and the player's satisfaction varies greatly accordingly. For the quality control of the game, Fun QA is in charge of testing to increase the fun and give satisfaction to the players. In this study, we first looked at software quality improvement techniques and game QA work. And in order to improve game quality, we analyzed Fun QA, which is relatively unstructured compared to Technical QA, which is mainly responsible for stability testing. Based on this, the Fun QA process was proposed and an example of Fun QA design was presented using real games. It is expected that this study will be one of the pillars of the game quality management area pursuing quality improvement by guaranteeing fun. Furthermore, it is expected to help QA workers expand their work area.