• Korean Journal of Community Nutrition
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• v.3 no.2
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• pp.281-291
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• 1998

Job analysis was done by the method of interview and survey to find out the human attributes needed for dietitans' job performance. The knowledge, skills, abilities and other characteristics including personality were major items in the questionnaire. The questionnaire was distributed to 340 schools and hospital dietitians. Among these, 201 were compeletely filled out, returned and statistically analyzed according to the frequency scale and importance scale respectively. The results were as follows : 1) The age, education, job experience and monthly pay of hospital dietitians were higher than those of school dietitians. This was partly due to the reflection of short chronicle of school foodservice. 2) The most important human attributes for rwo groups were commonly shown as sincere and faithful personality, good human relationship and responsibility for business outcome. 3) Computer skill and menuplanning ability were human attributes of the most frequently used by school dietitians, whereas knowledge of diet therapy, clinical nutrition, and pathology of disease were frequently used by hospital dietitians. 4) The correlation coefficients between two groups were as follows : Spearman's rho value of personality, skills and abilities, and knowledge were 0.806, -0.432,-0.203 respectively, according to the importance scale. 5) An overall view from t test between two groups, various human attributes, especially knowledge were more frequently used by hospital dietitians.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1264-1274
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• 2015

Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

• The Research Journal of the Costume Culture
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• v.22 no.1
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• pp.143-157
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• 2014

The aims of this study were to identify the dimensions of both store and PB apparel product attributes at large discount stores, and to empirically examine the effects of each dimension of store and PB apparel product attributes on satisfaction with PB apparel products and on repurchase intension. Questionnaires were given to 264 large discount store customers, who have experienced buying PB apparel products at large discount stores. The results were as follows. First, purchased PB items and image, improvement of PB apparel products showed differences by gender. Second, the dimensions for store attributes were categorized as convenient of shopping environment, product quality, customer service, advertising reach, convenient location, and reasonable prices. The PB apparel product attributes were categorized as material handling management, quality, fashion ability, and brand power. Third, generally, both store and PB apparel product attributes at large discount stores are significantly related to PB apparel satisfaction and repurchase intention. PB satisfaction and repurchase intention of males were partly affected by store attributes and PB apparel product attributes. PB satisfaction and repurchasing intention of females, however, were partly affected by only PB apparel product attributes, not store attributes.

• Korean Journal of Human Ecology
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• v.19 no.1
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• pp.103-117
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• 2010

The purpose of this study was broken down into four sections. First, this study identified both single workers' lifestyles and their motives for going to restaurants. The study classified the consumers and then confirmed the attributes of selection that the consumers considered important when eating out at family restaurants. Second, the study analyzed the consumers' lifestyles, motives for going to restaurants (user motive), and the attributes of selection for the restaurant. Third, the study analyzed how the attributes of selection toward the family restaurant affect the consumer's satisfaction and the consumer's intention of revisiting the restaurant. Fourth, the study analyzed how consumer satisfaction affects the intention to revisit the family restaurant. After the execution of the aforementioned four steps, the study was successful in meeting its purpose: to provide information to enhance the satisfaction of the consumer and to provide foundation material for consumer policy. In regards to the analytical method, this study performed a Frequency Analysis, Factor Analysis, Reliability Analysis, Cluster Analysis, ANOVA Analysis, and Multiple Regression Analysis. The analytical results from the study are as follows. Lifestyle was categorized into 4 factors and 4 clusters. User motive was grouped into 3 factors and 4 clusters. The attributes of selection for family restaurants were categorized into 4 factors. Based on the lifestyle cluster, the attributes of selection for family restaurants showed a statistically significant difference. In addition, based on the cluster of user motive, the attributes of selection for family restaurants showed a statistically significant difference. Lastly, the attributes of selection for family restaurants were found to affect both the intention of revisiting the restaurant and consumer satisfaction after the consumers used the restaurants.

• Korean Journal of Human Ecology
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• v.17 no.6
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• pp.1167-1180
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• 2008

The purpose of this study was to take the gauge of the importance-performance of the clothing store attribute in the department store. The survey was administered to customers of department stores in Deajeon city and frequency analysis, factor analysis, reliability analysis, and importance-performance analysis were used to analyze the data of 37 clothing store attributes. The findings of this study were as bellows: 1. 8 factors were distracted from 37 clothing store attributes by factor analysis (Factor 1: goods, Factor 2; store's facility and environment, Factor 3; salesman and service, Factor 4; brand, Factor 5; price, Factor 6; store's atmosphere, Factor 7; convenience of the transportation and access, Factor 8; promotion and advertisement) 2. as results of importance-performance analysis, 10 attributes were shown in area I (high importance and high performance) which needed a strategy of Keep Up the Good Work, 6 attributes in area II (low importance but high performance) fitted a strategy of Possible Overkill, 12 attributes in area III (high importance but low performance) corresponded to a strategy of Concentrate Here, and finally a strategy of Low Priority was needed to 9 attributes in area IV (low importance and low performance).

• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.363-375
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• 2012

The purpose of this study was to analyze the physiochemical properties of blackberry fruit beverage(BFB) and to develop a descriptive analysis procedure for evaluating the sensory characteristics of BFB. The amount of soluble solid, free sugar, pH, acidity, chromaticity, flavonoid, and anthocyanin of BFB were determined. All BFB samples demonstrated significantly different physicochemical properties(p<.01). Ten highly trained panelists identified the following eleven sensory attributes in the BFB and defined by standardized terminology for each attribute; turbidity, chromaticity for appearance characteristics, berry, grass, fermented, sweet, astringent, and sour for flavor characteristics, throat hit, refreshing, as well as astringent grade for textural characteristics. There were significant differences in all the eleven sensory attributes of the BFB samples(p<.001). Descriptive terminology used in the BFB analysis was capable of classifying the sensory attributes of the BFB. Based on these results, the analysis method and sensory evaluation techniques used in this study could be reasonably applied to other fruit beverages for establishing similar physiochemical characteristic and descriptive sensory attributes.

• Journal of the Korean Society of Tobacco Science
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• v.27 no.1 s.53
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• pp.134-140
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• 2005

The purpose of this study was the discrimination of different tobacco types by the E-Nose/tongue and the analysis of what human sensory attributes are correlated with e-instrument's sensors. Samples were made from five groups of Korean domestic tobacco leaves, aged burley and not aged, aged flue-cured and not aged and blending types of the four. Instrumental tests were conducted to discriminate characteristics among different tobacco samples by the E-Nose and the E-Tongue. Sensory attributes of tobacco tastes were impact, irritation, bitterness, hay-like, tobacco taste, smoke volume, smoke pungent and mouth cleanness. STATISTICA software was used to analyze correlation between the human sensory data and the raw data of e-instruments. Discrimination analysis can be achieved using principal components analysis (PCA) and discriminant factorial analysis(DFA). As a result, impact, bitterness, irritation, smoke volume and smoke pungent of human sensory attributes were correlated with data from the several clustered E-Nose sensors(p < 0.10). And bitterness, irritation, and smoke pungent of human sensory attributes were correlated with data from the E-Tongue sensors(p < 0.10). PCA plot by the E-Nose shows that aged tobacco and not aged were discriminated and DFA plot shows that three groups(aged burley, not aged burley and flue-cured) were discriminated. PCA plot by the E- Tongue shows that flue-cured tobacco was separated from burley. Our results indicated that the e-instruments are sensitive enough to distinguish among tobacco types and their several sensors are reacted to the human sensory attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1755-1767
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• 2009

This article develops the perceived attributes of fashion goods and hierarchical structure among these attributes. In-depth interviews of 12 adult women in the exploratory research and a questionnaire survey of 472 adult women in the empirical research were conducted. The results of the research are as follows: First, a total of 5 perceived subjective attributes of fashion goods are composed of newness, mass fashionability, social compatibility, personal compatibility and self-expressiveness, and the dimensions of the five drawn attributes show a hierarchical causality rather than an equal level. Newness and mass fashionability, perception attributes effect social compatibility and personal compatibility as consequence attributes exert a direct influence on the self-expressiveness represented by value attributes. Personal compatibility and social compatibility as consequence attributes also directly effects self-expressiveness while mediating newness and mass fashionability.

• Journal of the Korean Society of Safety
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• v.18 no.4
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• pp.155-163
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• 2003

The intensity of industrial accidents has been increased while the number of industrial accidents has been decreased in theses days. It represents that we need safety guidelines based on personal attributes as well as physical attributes. This study tries to identify major causative factors for industrial accidents and to suggest an evaluation model based on personal attributes. Specifically, relationship between self-efficacy belief associated with industrial safety and other relative personal attributes has been analyzed. First, FGI(Focus Group Interview) was conducted to identify important personal attributes of industrial accidents. The questionnaire was prepared based on the results of FGI and was applied to identifying personal attributes. The relationship between personal attributes identified in this study and self-efficacy belief was assessed using fuzzy logic and fault tree analysis. The results of the assessment showed that self-efficacy belief was closely associated with industrial accidents. Specifically, workers with accident experience had higher level of self-efficacy beliefs than workers without accident experience.

• The Journal of Korea Robotics Society
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• v.6 no.1
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• pp.86-96
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• 2011

The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many approaches of human-following technology. Many approaches have adopted various multiple sensors such as vision system and Laser Range Finder (LRF). In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. We establish an efficient leg-tracking scheme by exploiting a human walking model to achieve robust tracking under occlusions. The proposed approaches were successfully verified through various experiments.