• Korean Journal of Human Ecology
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• v.17 no.1
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• pp.13-26
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• 2008

The purposes of this study was to examine the effects of undergraduate's optimism and family-control on their awareness of caregiving for the elderly. The subjects for this study were 374 undergraduates from 4 universities in G city. The collected data were analyzed with SPSS WIN(ver. 12.0) program, and frequency and percentile, mean and standard deviation, t-test, correlation analysis, multiple regression, and path analysis were utilized. The main findings of the study were as follows. The undergraduate's degree of optimism and family-control, and their awareness of caregiving for the elderly were slightly higher than the average. In addition, the undergraduate's optimism and family-control were differed according to their 'existence and/or nonexistence of religion', and their awareness of caregiving for the elderly was significantly different depending on 'existence and/or nonexistence of religion', and 'existence and/or nonexistence of living together with their grandparents'. It was also found that the undergraduate's awareness of caregiving for the elderly was directly influenced by their family-control, whereas their awareness of caregiving for the elderly was indirectly influenced by their optimism via family-control.

• Korean Journal of Health Education and Promotion
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• v.31 no.4
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• pp.25-36
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• 2014

Objectives: The self-management of chronic diseases is currently receiving much attention. This study applied an extended technology acceptance model (ETAM) to analyze the factors influencing acceptance of a healthcare smartphone application. Methods: Three hundred people living in Seoul and Gyeonggi who used smartphones were quota sampled. A telephone survey was conducted using a structured questionnaire based on ETAM. A path analysis was carried out using the AMOS 17.0 program, and the model was verified. Results: The analysis revealed significant factors of perceived usefulness (.374, p < .001), enjoyment (.210, p < .001), subjective norms (.168, p < .001), perceived costs (.146, p < .001), and innovativeness (.138, p < .001). Cost directly influenced intention to use health applications; self-efficacy and perceived ease of use indirectly affected intention through innovation and perceived usefulness. Conclusions: This study helped to identify the main factors that influence usage intention of smartphone applications. These findings could contribute to promoting the self-management of chronic disease through future health applications using smartphones.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.11
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• pp.1332-1340
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• 2009

The front end wheel loader is widely used for the loading of materials in mining and construction fields. It has repetitive digging, loading and dumping procedures. The bucket is subjected to large resistance force from the soil during scooping. We considered the soil reaction force characteristics from scooping procedure, the protection by overload and automatic scooping mode algorithm. The main topic of this paper is the analysis of the soil reaction force characteristics. The analysis of soil mechanics is carried out and the developed soil model is verified by experimental results from the simplified experimental equipment. A simplified model of the soil shape and bucket trajectory is used to determine the scooping direction based on an estimation of the resistance force applied on the bucket during the scooping motion. In the future, this model will be used for the generation of an appropriate path for the wheel loader automation.

• Journal of the Semiconductor & Display Technology
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• v.14 no.2
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• pp.29-34
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• 2015

Traffic lights are common in cities and are important cues for the path planning of intelligent vehicles. In this paper, we propose a robust and efficient algorithm for recognizing traffic lights from video sequences captured by a low cost off-the-shelf camera. Instead of using color information for recognizing traffic lights, a shape based approach is adopted. In learning and detection phase, Histogram of Oriented Gradients (HOG) feature is used and a cascade classifier based on Adaboost algorithm is adopted as the main classifier for locating traffic lights. To decide the color of the traffic light, a technique based on histogram analysis in HSV color space is utilized. Experimental results on several video sequences from typical urban environment prove the effectiveness of the proposed algorithm.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.3
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• pp.525-535
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• 1995

This study was designed to verify the clothing satisfaction according to product type (jacket vs. pantyhose) and consumer fashion involvement. Research problems were as following; 1. To identify a clothing satisfaction according to product type. 2. To discover which of satisfaction relevant variables has the most influence on clothing satisfaction. 3. To examine the relationship between expectations and discontinuations. 4. To examine the degree of influence of product type and consumer fashion involvement on expectations. The survey was carried out in Pulsar shopping area. The 104 subjects (51 for jacket, 53 for pantyhose) participated in the final analysis. The results of analysis were as following; 1. The main path of clothing satisfaction was that the product type -1 the expectations -1 the perceived performance (-1 the discontinuation) -1 the clothing satisfaction. Those relevant variables explained 62% of clothing satisfaction variance. The most powerful determinant was the perceived performance. 2. For jacket type, the influence of perceived performance appeared to be greater than that of the discontinuation. And the consumer fashion involvement affected the expectations and the discontinuation. 3. For pantyhose type, the consumer fashion involvement divan't affect the expectations. The influence of discontinuation was relatively higher than that of jacket type.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.2 s.179
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• pp.73-80
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• 2006

High speed machining(HSM) technique is widely used in the appliance, automobile part and mold industries, because it has many advantages such as good quality, low cost and rapid machining time. But it also has problems such as tool breakage, smooth tool path, and so on. In particular, small size end mill is easy to break, so it must be changed before interrupting operation. Generally, the tool life of small size end mill is affected by the milling conditions whose selected parameters are spindle speed, feedrate, and width of cut. The experiments were carried out by full factorial design of experiments using an orthogonal array. This paper shows optimal combination and mathematical model for tool life, Therefore, the analysis of variance(ANOVA) is employed to analyze the main effects and the interactions of these milling parameters and the second-order polynomial regression model with three independent variables is estimated to predict tool life by multiple regression analysis.

• Journal of Technology Innovation
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• v.10 no.1
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• pp.22-37
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• 2002

The importance of selecting the strategic research field is increasingly emphasized by research manager and technology policy-maker in perspective of the strategic allocation of R&D resources, employing the R&D personnel, and formulating technology policy. Among various methods for selecting the strategic research field, it is, however, very difficult to find the method that involves the path-dependant trend, and interdisciplinary nature of technology development. This study suggests modified technology cluster analysis (TCA) as a method for selecting strategic research field in order to include the recent technology trend in quantitative approach. TCA is the method that groups the near technologies of which the innovation pattern is similar. TCA model can be a very necessary method for multidisciplinary government research institutes (GRIs) which conduct multi research field with forward oriented positioning. It is more difficult for them to select the strategic research field mainly due to their diversity and intangibility of research scope. In this study, we applied this method to Korea Institute of Science and Technology (KIST) which represents the most adequate research institute in terms of research diversity and forwardness. As a result of the application, we found that seven main technology groups come from TCA analysis, coincide with the technology topics of KIST's recent R&D planning. Even though this method designed for multidisciplinary research institutes, but it also can be used for establishing the research strategy of other (private or public) Research Institute which have the similar mission and scope of research.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.269-280
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• 2020

This research aims to determine the direct and indirect effects of digital literacy, economic literacy, and entrepreneurial skills on the performance of small- and medium-sized enterprises (SMEs) in garment clusters in the Bulak tourism industry Depok. Carrying out quantitative research with survey methods, data collection is using a questionnaire technique with 90 respondents, via saturation sampling. This research data analysis uses SPSS software version 25.0. Path analysis is used to determine the direct and indirect effects between variables. The results showed digital literacy, economic literacy, and entrepreneurial skills significantly and positively affect the performance of small- and medium-sized enterprises. The main finding in this study is that digital literacy has the greatest influence on the performance of SME entrepreneurs, both directly and indirectly. The results of the study provide input on performance development strategies for SME entrepreneurs through digital literacy, including digital business relationships, online facilities, and networks. The findings are also complementary to the factors shaping the performance of SME entrepreneurs in the digital age. The research results show that digital literacy has the greatest direct and indirect influence on the performance of SME entrepreneurs; this shows the essential contribution of digital literacy in developing business and marketing networks.

• The Research Journal of the Costume Culture
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• v.23 no.2
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• pp.270-283
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• 2015

The purpose of this study was to investigate the relationship between working environment and quality of life of fashion vendor company workers by using working environment variables such as job stress, job burnout, job satisfaction, and turnover intention. Preliminary test was conducted by interviewing fashion vendor company workers in order to find out factors that were more suitable for their working environment. Main survey was conducted to 200 fashion vendor company workers and 194 responses were analyzed. The results of correlation analysis showed that job stress, job burnout, job satisfaction, turnover intention, and factors of quality of life had significant relationships. Boss stress, role stress, achivement decrease, and personal condition satisfaction showed a significant relationship with turnover intention. The results of path analysis showed that job stress had a positive relationship with job burnout and job burnout had a negative relationship with job satisfaction. Both job stress and job burnout had a positive relationship with turnover intention, whereas job satisfaction had a negative relationship with turnover intention. Also, the results showed that job burnout and turnover intention had a negative relationship with quality of life of fashion vendor company workers, whereas job satisfaction had a positive relationship with quality of life of fashion vendor company workers.

• Journal of the Korean Institute of Educational Facilities
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• v.21 no.2
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• pp.25-32
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• 2014

Many Korean university campuses are located on hilly terrain where the hierarchy of the path system is unclear. Therefore, it is difficult to analyze the pedestrian network through space syntax, in which only horizontal direction changes are considered as depths of space. The purpose of this study is to compare pedestrian movement patterns and space syntax analysis in order to find their relevance to each other and the relationship between them. We conducted a survey regarding the most-visited buildings and pathways at S-University, which is located on a hilly area in Seoul. The survey results were compared with the Space Syntax integration map by regression analysis. For the segments where the relationship between pedestrian volume and integration was weak, field observations were conducted. As a result, topographical aspects, functional aspects, and location aspects were observed as the main influential factors. In addition, the research proposes that adding an extra axial line per vertical directional change can potentially compensate for the low relevance of stairs. This study suggests the possibility and the necessity of three-dimensional space syntax programs and emphasizes the importance of campus planning for the pedestrian environment.