• Journal of Sport and Applied Science
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• v.7 no.1
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• pp.1-10
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• 2023

Purpose: This paper analyzed the features of Winter Olympics mascots in chronological order by examining the evolution of mascots and presented the attributes of the Winter Olympics mascots from Innsbruck 1976 to Beijing 2022. Research design, data, and methodology: This paper conducted an exploratory study on the thinking to understand the characteristics of 13 Winter Olympics Mascots through literature review. Results: First, the mascot is a fictional character, usually an artificial character that represents the locality of the host city, including animals, human figures, and local inhabitants. Second, Schneemann, Innsbruck 1976 was known as the first official Winter Olympics mascot. Third, 19 mascots out of a total of 24 mascots were created using animals. Conclusions: The six attributes of the Winter Olympics mascots were identified: friendliness, symbolic meaning, originality, diversity, value, and identity of a special location. Above all, Winter Olympics has a locality that includes areas covered with ice and snow. From this point of view, the Olympics mascot highlights the image of snow and ice and the physical environment that includes it.

• Korean Journal of Community Nutrition
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• v.2 no.4
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• pp.605-615
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• 1997

The job characteristics and competencies of 285 dietitians in employee foodservices were investigated by worker-oriented job analysis methodology. The purposes of this study were to : a) determine the knowledge, abilities, skills and other characteristics(KASO) needed for dietitians in two types of employee foodservice groups(self-operated vs. contracted), b) categorize KASO items by factor analysis and c) provide job information and job descriptions for dietitians in employee foodservices. The job analysis questionnaire was consisted of questions concerning the 134 KASO items. The questionnaire was mailed to 250 dietitians who are members of The Korean Dietetic Association Practice Group in self-operated foodservices(group A) and 250 dietitians who are employed in contracted foodservice companies(group B). Completed questionnaires were received from 285 dietitians(121 in self-operated, 164 in contracted) ; with response rate of 57%. Statistical data analysis was completed using the SPSS/win and the SAS/win packages. The results of this study can be summarized as follows. 1) Through factor analysis, the 134 KASO items were regrouped into 6 categories :‘primary dietetic tasks concerning menu management and administrative work regarding merchants’, ‘primary dietetic tasks concerning procurement and purchasing of food and supplies and meal production and service control’, ‘primary dietetic tasks concerning facility, sanitation and safety control’, ‘secondary dietetic tasks concerning nutrition education and research’, ‘secondary dietetic tasks concerning foodservice operation management’and‘human attributes’. 2) Analysis of the total scores(average scores of degree of frequency, importance and entry requirements of KASO items within 6 categories), group A showed high priorities placed on‘human attributes’, ‘procurement and purchasing of food and supplies and meal production and service control’, ‘menu management and administrative work regarding merchants’, ‘whereas group B showed high priorities placed on’‘human attributes’, ‘foodservice operation management’. (Korean J Community Nutrition 2(4) : 605-615, 1997)

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.302-309
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• 2023

Wearable devices, attached to the human body, track and enhance users' activities, health, and communication. Therefore, considering ergonomic factors in product design is crucial. However, previous research has somewhat overlooked the importance of integrating ergonomic design elements into a broad spectrum of design factors. This study aims to examine the impact of physical attributes inherent in smart wristbands and smartwatches on the perceived functional value, specifically, perceived usefulness, ease of use, and fit. A survey was conducted among 289 US adults who had experience using smart wristbands or smartwatches. The collected data were analyzed using descriptive statistics, factor analysis, Cronbach's alpha, t-test, MANOVA, and regression analysis in SPSS version 29. The results showed that the shape of the front display significantly influenced perceived ease of use, and the product's weight had a substantial impact on both perceived ease of use and fit. Furthermore, distinct technical features on the front display had varied effects on perceived usefulness, ease of use, and fit. Notably, the presence of activity tracking, alarm, and calendar functionalities led to distinct differences in ease of use and fit. Features such as distance tracking, phone call, social media notifications, text messaging, and time display functions showed significant influences on the perception of fit. These findings provide insights into the physical values of smart wristbands and smartwatches as perceived by users.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.2
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• pp.187-196
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• 1997

This paper presents a semi-automatic methodology to synthesize executable digital controller saftware in a multi-loop control system. A digital controller is described by a task graph and end-to-end timing requirements. A task graph denotes the software structure of the controller, and the end-to-end requirements establish timing relationships between external inputs and outputs. Our approach translates the end-to-end requirements into a set of task attributes such as task periods and deadlines using nonlinear optimization techniques. Such attributes are essential for control engineers to implement control programs and schedule them in a control system with limited resources. In current engineering practice, human programmers manually derive those attributes in an ad hoc manner: they often resort to radical over-sampling to safely guarantee the given timing requirements, and thus render the resultant system poorly utilized. After task-specific attributes are derived, the tasks are scheduled on a single CPU and the compiled kernel is synthesized. We illustrate this process with a non-trivial servo motor control system.

• The Journal of Fisheries Business Administration
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• v.48 no.2
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• pp.53-66
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• 2017

More than 90% of cultured fish is consumed by sliced raw fish which is usually an eating out menu in South Korea. In order to develop the aquaculture industry in Korea, It is very important to know whether consumers can differentiate each species or not and how consumers recognize each species by certain criteria. for example taste, seasonal preference. The purpose of this study is to understand the competitive relationship through positioning studies of each species by the selection attributes. A total of 221 consumers were surveyed in korea. This study adapted multidimensional scaling(MDS) analysis to explore how consumers position sliced raw fish species based on selection attributes. This study has produced perceptual maps of sliced raw fish market. Empirical data was collected from sliced raw fish consumers in Korea. The results of MDS analysis reveal that 7 species are divided into 3 groups(flat fish, black rock fish), (red sea bream, salmon, tuna), (sea bass, gray mullet). In this study flat fish and black rock fish are perceived as safe, familiar, good value species. Red seabream, salmon, tuna are perceived as luxurious species. Sea bass and gray mullet are perceived as unfamiliar species.

• International Journal of Contents
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• v.14 no.2
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• pp.7-15
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• 2018

Online shopping is increasing worldwide. Providing customers actual feeling of the product is essential in online shopping. Various technological aids can be used to support visual feeling. When delivering visual tangibility, it is important to study which attributes are significant in product presentations that best portray the actual tactileness. In this perspective, we suggest 'visual tactility' (VT) as a parameter for delivering tangibility in visual presentation. By measuring visual tactility in different product types, latent factors of visual tactility were identified and their influence on purchase intention was determined in this study. We defined material properties of touch such as surface texture, hardness, temperature, and weight as Visual Tactility (VT), the influential factor of tactility. We investigated the influence of VT on product purchase intention and analyzed tactileness within four online product presentations: single static picture, multi static pictures, zoom, and video. Our purpose was to investigate underlying effects of visual tactile attributes on touch and determine their influences according to online product presentation formats. Our results showed that visual tactility positively affected purchase intention and that each attribute differed in importance according to product type. Moreover, this study revealed a strong relation between online product presentation and VT attributes. These results provide a guide when selecting which presentation is optimal for delivering a product's tactility in online shopping situation.

• Child Health Nursing Research
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• v.29 no.4
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• pp.260-270
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• 2023

Purpose: This study aimed to derive a conceptual definition and attributes for nursing students' rights in clinical practice in South Korea. Methods: This concept-analysis study was conducted at a nursing school in South Korea. The participants were recruited using purposive sampling. The inclusion criteria were being a fourth-year nursing student and having two or more semesters of practical experience. The hybrid model used in this study had three stages. First, 12 studies were reviewed during the theoretical stage. Second, 10 in-depth interviews were conducted during the fieldwork stage. Third, in the analytical stage, the concept of nursing students' rights related to clinical practice was defined and the attributes were derived. Results: The analysis established five attributes of nursing students' rights: the right to learn, the right to be protected from infections and accidents, the right to be cared for and supported, the right to be respected, and the right to be recognized as a member of a nursing team. A key theme that emerged from this study was having the right to learn in a safe and supportive environment. Conclusion: It is necessary to develop a measurement tool based on the above five attributes and to verify its effectiveness.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.9-17
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• 2006

As is commonly said, music is 'language of emotions.' It is because sound is a plentiful modality to communicate the human sensibility information. However, most researches of auditory displays were focused on improving efficiency on user's performance data such as performance time and accuracy. Recently, many of researchers in auditory displays acknowledge that individual preference and sensible satisfaction may be a more important factor than the performance data. On this ground, in the present study we constructed the sound sensibility dimensions ('Pleasure', 'Complexity', and 'Activity') and systematically examined the attributes of sound on the sensibility dimensions and analyzed the meanings. As a result, sound sensibility dimensions depended on each sound attributes , and some sound attributes interact with one another. Consequently, the results of the present study will provide the useful possibilities of applying the affective influence in the field of auditory displays needing the applications of the sensibility information according to the sound attributes.

• Korea Journal of Hospital Management
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• v.23 no.4
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• pp.40-52
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• 2018

The purpose of this study is to identify medical consumers' hospital selection factors in response to the rapidly changing environment of medical industry. For that purpose this study classified consumers' hospital selection factors into three categories such that human factors including expertise, reliability, empathy; system factor including, convenience, differentiation, efficiency; and facility factor including tangibility, accessibility, and location, based on the previous studies and the results of a preliminary survey of the patients of a small private hospital. The nine factors were further divided into 23 more specific attributes. Then, an online survey was conducted to measure the perceptions of the 23 attributes by the medical consumers over the age of 20. The analysis of the survey data using Kano model and Timko model indicated that 14 of the 23 attributes were classified as attractive factors, eight attributes were or classified as, one-dimensional factors, and one attribute, doctors' educational background, was classified as indifference factor. Of the 14 attractive factors, "unique and differentiated services related to medical treatment" and "distance from home to hospital" had the highest customer satisfaction coefficients. Of the eight one-dimensional factors, "kind treatment," "providing adequate explanations," "accuracy of diagnosis," and "cleanness of facilities" had the highest customer satisfaction coefficients as well as the highest dissatisfaction coefficients. The findings indicate that these six attributes are the most basic and most impactful attributes that hospitals must manage strategically to improve their service quality and attract more medical consumers to their hospitals.

• Smart Media Journal
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• v.13 no.4
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• pp.57-64
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• 2024

Attributes such as material, color, and fit in fashion images are important factors for consumers to purchase clothing. However, the process of classifying clothing attributes requires a large amount of manpower and is inconsistent because it relies on the subjective judgment of human operators. To alleviate this problem, there is a need for research that utilizes artificial intelligence to classify clothing attributes in fashion images. Previous studies have mainly focused on classifying clothing attributes for either tops or bottoms, so there is a limitation that the attributes of both tops and bottoms cannot be identified simultaneously in the case of full-body fashion images. In this study, we propose a deep learning model that can distinguish between tops and bottoms in fashion images and classify the category of each item and the attributes of the clothing material. The deep learning models ResNet and EfficientNet were used in this study, and the dataset used for training was 1,002,718 fashion images and 125 labels including clothing categories and material properties. Based on the weighted F1-Score, ResNet is 0.800 and EfficientNet is 0.781, with ResNet showing better performance.