• Culinary science and hospitality research
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• v.16 no.3
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• pp.14-31
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• 2010

Lifestyle has the largest influence on purchasing intention. Currently, consumers have to be adjusted to dynamic environmental change, therefore they are demanding more and more on bakery items and functional food products. It is important to understand the trend of customers' eating habits and the effect of this trend on purchasing intention as well as the development of special characteristics in purchase, viewpoints, and behaviors. Based on this fact, this study was conducted to classify the types of lifestyle according to the consumer's behavior and to examine how the variety and quality of bakery products affect consumer's purchasing pattern. The subjects of this survey were housewives in thirties and forties at the national capital region. AIO(activities, interests, opinions) analysis was used to classify lifestyle and to investigate the effect or relationship between lifestyle, variety and quality of bakery products. Lifestyle was classified into the pursuit of rationality, the pursuit of utility and the pursuit of convenience. The information was the most concerning area in the pursuit of rationality, the taste in the pursuit of utility, and convenience in the pursuit of convenience. The purchasing intention was not affected by the quality of the bakery product itself but by the satisfaction with the service of the bakery.

• Journal of the Korean Society of Safety
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• v.26 no.2
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• pp.70-76
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• 2011

Industrial accident frequency in small- and medium-sized ship-building plants is much higher than that of large-sized ones so that safety management activities should be different. In that sense, voluntary hazard assessment would be helpful for small- and medium-sized plants. However, conventional hazard assessment items and methods had some problems that discouraged voluntary participation of plants concerned. This study aimed to develop a new model for small- and medium-sized ship-building plants that can promote and encourage voluntary hazard assessment activities. For that purpose, ship-building process was assumed as a sequence of phases, and accident characteristics were compared with them. From that result, relative weights of accident factors including ship-building phases, accident types, occupational category, accident-induced objects, and hazardous items were determined with accident frequency data and with the help of expert groups. Therefore, for web-based integrative computer programming, a plain but accident data-dependent model was developed, with an additive function for related agencies that want to collect assessment results. It is expected that this model would help small- and medium-sized ship-building plants that wanted not only simple checklists but also effective assessment and management guidelines.

• Fashion & Textile Research Journal
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• v.16 no.5
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• pp.719-729
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• 2014

This study identified factors for purchase motives in regards to the latest trendy color bags as well as ascertained the structural relations of purchasing behavior in regards to purchase motives, purchase type, satisfaction, and repurchase intention. Other purposes examined the differences in purchase motivations, purchase types, satisfaction, and repurchase intention according to consumer characteristics, and provided strategic information on women's bag manufacturers and retailers. A random sampling method collected data based on a survey of Korean women between the ages of 20 and 59 who had purchased the latest trendy color bag. A questionnaire developed by the researcher was distributed to 450 women in 2013. We analyzed 433 questionnaires using the SPSS 18.0 program and AMOS 18.0 program. The summarization of the findings are as follows. First, purchase motives for the latest trendy color bags were classified into 5 factors: awareness-symbolicity, practicality, aesthetic, harmony, and fashionability. Second, aesthetic and harmony showed significant influenceson planned purchases due to an analysis of structural relations between purchase motives for the latest trendy color bags and type of purchase; in addition, awareness-symbolicity, aesthetic and fashionability significantly influenced unplanned purchases. Third, there was no significant influence for planned purchases on satisfaction; however, unplanned purchases showed a significant.

• Fashion & Textile Research Journal
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• v.18 no.5
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• pp.588-594
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• 2016

The outer clothing of shaman that are put on while performing current gutgeori is lacking in form and composition, diversified with kinds. Above all, name of shaman clothing is not unified, accordingly, there's a big difference from traditional Gutgeori, which was definitely divided in the role of outer clothing of shaman in respect of function and role of Gutgeori. Here, this research attended a site that performed Gutgeori based on the advanced literature research data research and analyzed the state and name of outer clothing by conducting a survey and interview investigation. Survey was conducted during 2 years from 2014 to 2015 classifying Gutgeori of Seoul, Gyeongsang, Honam, Jeju, Chungcheon. Research results are as follows. First, lots of outer clothes were put on along with shamanism type in Seoul, accordingly, names were diversified. Name of outer clothing was not unified by focusing on level of divinity or behavior of Gutgeori, with no consistency being mixed. Second, name was not consistent even the outer clothing of the same type shaman along with the region, sometimes put on in different meaning, accordingly, called in different name. Combination of such name of shaman is determined to be a big reason of lack of accurate information on shaman clothing and genealogy of name of shaman clothing in shamans, as the initial research on shamanism was conducted by folklorists in advance.

• Fashion & Textile Research Journal
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• v.19 no.4
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• pp.434-447
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• 2017

This study investigated the effects of influencing factors on the sales volume of apparel products. Based on previous studies, weekend effect, discount rate, and meteorological factors including daily average temperature, rainfall, sea level pressure, and fine dust were selected as independent variables to calculate their effects on sales quantity of apparel products. The daily sales data during 2015 - 2016 were collected from casual brands and outdoor brands which "A" apparel manufacturing company had operated. The actual data of "A" company were analyzed using SAS(R) 9.4 and SAS(R) Enterprise Miner 14.1. The results of this study were as follows: First, the influencing factors on total sales volume of apparel products were proved to be the weekend effect, discount rate, and fine dust. Second, the analysis of influencing factors on sales volume of apparel products according to season showed: 1) In casual brands, the average temperature had a significant influence on the sales volume of spring/summer products, and the sea level pressure affected the sales volume of summer/fall/winter products significantly. 2) In outdoor brands, the average temperature and the fine dust had a significant influence on the sales volume of all season's products. The sea level pressure affected the sales volume of summer/fall/ winter products significantly. The weekend effect and the discount effect affected the sales volume of apparel products partly. Third, the effect of rainfall was not proven significant, which was different from the results of past studies.

• Journal of the Korea Computer Industry Society
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• v.5 no.2
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• pp.325-330
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• 2004

The Big O notation of a sorting algorithm analysis is an asymptotic algorithm analysis which gives information of a rough mathematical function with an infinite increase of a sample size, without any specification of a probabilistic model. Hence. in an application with a limited finite number of data, it is necessary to test efficiencies of sorting algorithms. I estimated probabilistic models which analyze the number of exchanges varying input sizes to sort. The estimated models to explain the relationship of sorting efficiency on the sample size (N of the sample size and S of the number of exchange of elements) are S=0.9305 $N^{1.339}$ for Quick sort algorithm with O(nlogn) time complexity, and S=0.2232 $N^{2.0130}$ for Insertion sort algorithm with O( $n^2$) time complexity. Furthermore, there are strongly supports that more than 99% of the above relationship could be explained by the estimated models (p＜0.001). These findings suggest it is necessary to analyze sorting algorithm efficiency in applications with a finite number of data or a newly developed sorting algorithm.

• Journal of Distribution Science
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• v.14 no.12
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• pp.129-139
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• 2016

Purpose - This paper examines the explanatory power of the agency theory in the determination of cash holdings for Korean retail firms. If the agency theory holds, a firm with strong corporate governance structure tends to have low cash holdings. A strong governance structure makes the CEO of this firm to behave in the interests of shareholders and thus the CEO has low incentive to stockpile cash holdings, which can be easily diverted for the CEO's own managerial purposes. We investigate this relationship between corporate governance structure and cash holdings, by using corporate governance scores as a proxy variable that captures the effectiveness of corporate governance mechanism. Research design, data, and methodology - We adopt the sample of publicly listed retail firms in KOSPI market from 2005 to 2013. Financial and accounting statements are gathered from the WISEfn database. We also use the corporate governance scores published by Korean Corporate Governance Service. The relationship between the corporate governance scores and cash holdings is cross-sectionally estimated based on the ordinary least square method. This estimation method is widely accepted in the existing literature. The sample of large conglomerates, Chebol, and the remainder firms are separately examined as well, to account for the distinctive internal financing environment in these large conglomerates. Results - We mainly contribute to the extant literature by providing empirical evidence against the agency theory of cash policy. Unlike the prediction of agency theory, we confirm statistically insignificant or even positive correlations between the set of corporate governance scores and cash-asset ratios. Almost all the major corporate governance attributes including total score, shareholder rights, board structure, and the quality of information disclosure do not show negative correlations with cash holdings, which poses a strong challenge to the validity of the agency theory in the determination of retail firms' cash holdings. Conclusions - This study presents interesting empirical results with respect to the cash policy in Korean retail firms. Consistent to prior studies, I verify that the agency theory only limitedly explains the level of cash holdings. Future studies may obtain more robust results by examining a longer sample period.

• Journal of Advanced Navigation Technology
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• v.15 no.4
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• pp.585-590
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• 2011

In the past few years, M2M (Machine-to-Machine) applications have become a hot topic in the wireless industry. While M2M applications can be used for many purposes (smart homes, smart metering/electricity meter reading, fleet management, mobile workforce, automobile insurance, vending machines, etc), and in many sectors (healthcare, agriculture, commercial, industrial, retail, utility, etc.), smart metering applications or smart grids present the biggest growth potential in the M2M market today. M2M platform is the future ubiquitous network technologies which provide the integrated service with the networks and devices. The promising technologies to tackle these problems are the Semantic technologies, for interoperability, and the Agent technologies for management of complex systems. In this paper the information communication technique based on the disaster prevention system's for the M2M, concepts and its requirement technology and application are studied.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.19 no.1
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• pp.9-20
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• 2013

Background: This study was conducted to provide preventive measure for the musculoskeletal disorders in automobile parts manufacturing workers. Method: The author surveyed to the musculoskeletal symptoms prevalence and its related factors from 10th to 17th April 2011 with structured self administered questionnaires. 223 out of 225 collected questionnaires were used for final analysis, excluding 2 questionnaires with no valid response. Based on the diagnostic criteria of NIOSH (National Institute for Occupational and Health), an investigation was made into the prevalence of musculoskeletal symptoms as well as into the factors related to individual items. Results: The prevalence of musculoskeletal symptoms according to the criteria of NIOSH was the highest in the shoulder (52.9%), followed by the neck (39.%), the hand/wrist (35%), the waist (29.6%), the arm/elbow (24.7%), and the leg/food (23.8%). One-way analysis showed that among general characteristics, age was the musculoskeletal risk factor with the greatest effect. Whereas among work-related characteristics, significant risk factor didn't find. Yet it was shown that among ergonomic work postures, high degree of musculoskeletal risk was shown by the posture involving frequent and repetitive movement of the arm and the hand/wrist and also by the posture involving standing for a long time. Multiple regression analysis showed that musculoskeletal risk was 1.795 times higher in those age 50 and over than in those under age 50; 1.67 times higher in the high risk stress group than in the low risk stress group; and 1.131 higher in the group involving the repetitive use of the hand/arm than in the other groups (p<.05). Conclusion: The prevalence and stress score of automobile parts manufacturing workers were higher than other occupation workers. Among general characteristics, drinking and smoking were shown to be related to stress score; while age was shown to have significant effect on musculoskeletal risk.

• The KIPS Transactions:PartD
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• v.12D no.7 s.103
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• pp.1007-1016
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• 2005

A key issue for process language design is balancing the need for semantic richness with the need for ease of use. Most process modeling languages fail to satisfy above two conflicting aspects, which is an impediment to the widespread adoption of process modeling languages in the software industry despite of a variety of software process language studies. This paper describes a process modeling language RAiSE attempting to resolve such problem and presents the result of applying RAiSE to a well-known benchmark process, ISPW-6 software process example. RAiSE provides rigorous, yet clear semantics through combing essential features in various modeling paradigms and defining them in a well-structured graphical notation. Process models represented in RAiSE are interpreted and enacted by process engine implemented using CLiPS, a rule based expert system tool.