• Korean journal of food and cookery science
• /
• v.30 no.3
• /
• pp.360-367
• /
• 2014

This study analyzed the Importance-Performance Analysis of selective attributes of Ethnic Food Restaurant. A total of 369 questionnaires were analyzed. Five factors were obtained from factor analysis of Importance variance of selective attributes of Ethnic food restaurant: Factor 1 "Quality", Factor 2 "Service", Factor 3 "Physical environment", Factor 4 "Uniqueness", Factor 5 "Health". Also, "Quality", "Physical environment", "Uniqueness" factors influenced overall satisfaction. In addition, according to the IPA results, selective attributes with low satisfaction and high importance in the second quadrant were 'Sanitation that comfort hospitality', 'Level of service' and 'Price'. These results suggest that when customers select Ethnic food restaurant, they consider 'food price' and 'food quality'. Therefore, manager of ethnic food restaurant should take these improvement factors into consideration in order to meet consumer's expectations.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.195-207
• /
• 1999

Classification and Coding(C&C) systems as a core of design information management have been accomplished by many studies in terms of design and manufacturing attribute based on Group Technology. Those are very difficult to apply in make-to-order(MTO) manufacturing because the environment of MTO has various characteristics of product, many licensors, engineering change, insufficiency of integrated management system for codes and so on. This paper presents a suitable C&C system to MTO manufacturing which consider management level and drawing. The steps of developing the C&C system are as follows: 1) analysis of existing coding system and drawing type; 2) design of C&C system; 3) practice of designed coding system to a field.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.25-31
• /
• 2018

In recent years the privacy issue on social media is often being discussed. The purpose of this study is to explore the relationships among user gender, user group according to user activity level (highly active vs less active) and self-disclosure in social media. We collected a total of 180 million tweets issued by 13 million twitter users for 12 months and investigated attributes of tweet (user's profile, profile image, description, geographic information, URL) which are related to self-disclosure and boundary impermeability. The results show there are significant (p<0.001) interactions between user gender, user group and each attribute of tweet that are related to self-disclosure and show that the patterns of self-disclosure are different across attributes. The results also show that the mean self-disclosure scores and boundary impermeability of top 10% highly active users are significantly higher than other less active users for all genders.

• Journal of Global Scholars of Marketing Science
• /
• v.4
• /
• pp.197-211
• /
• 1999

The purpose of the research is (1) to identify the usage of Quick Response technologies (QRT) by apparel retailers and the improvement of store attributes by QRT, and (2) to test a conceptual model which examines Consumer Satisfaction(CS) with apparel retail stores. A convenience sample of 32 retailers and 200 apparel consumers participated in the survey research. The most used technology is sales captured at the item level and the store attribute most improved by QRT is fast turnaround of goods. Disconfirmation(DC) (i.e., QRT based, non-QRT based attributes) had significant effects on CS with apparel retail stores. DC of QRT based attributes (e.g. reduced stockout) have more influence on CS than DC of non-QRT based attributes (e.g., location of store).

• Journal of the Korean Home Economics Association
• /
• v.38 no.12
• /
• pp.101-110
• /
• 2000

The purpose of this study were to investigate the influences of fashion leadership on consumers'evaluation of domestic and imported perfume product, and perfume purchasing behaviors and to find out the demographics and consumer value on fashion leadership. The data were collected from 369 female college students using questionnaire. The results were as follows: First, there were significant differences on consumers'evaluation of domestic and imported perfume product between the groups on fashion leadership. The higher the fashion leadership, the much positive consumers'evaluation of imported perfume product. Second, Fashion leaders'the frequency of perfume usage and the pieces of perfume product were higher than fashion followers. The most important perfume attribute of all groups was scent, and fashion leader took the much significant view of brand name than fashion followers. Third, Fashion leaders'economical level and pleasure oriented value was higher than fashion followers.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.60 no.2
• /
• pp.266-272
• /
• 2011

Real Time Pricing(RTP) is used not only to stabilize the price volatility in electricity market, but to hedge the price risk for Load Serving Entity(LSE). This paper presents an efficient method to reduce the risk of the price volatility in real-time electricity market. For designing the RTP, load patterns of customer are calculated by applying the demand elasticity and customer's utility is also analyzed to compute the RTP revenue through the risk-attribute of the LSE. In the end, the distribution of the LSE's profits can be evaluated to lead the optimal RTP value, depending on the level of customer's participation. Results from the case study based on PJM data are reported to illustrate the proposed method.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.9
• /
• pp.2384-2389
• /
• 2009

In this paper, we propose a lightweight mutual authentication protocol for secure and efficient home network service. Lee et al. recently proposed an attribute-base authentication key agreement protocol using public key in home network. Its protocol provided forward secrecy but don't diminish conspicious overhead of operation using ticket. Therefore the proposed protocol provided the security and efficiency using hash function and counter. Also it can provide secure home network service by check consumer electronics control level of users after created session key.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2019.06a
• /
• pp.178-181
• /
• 2019

포인트 클라우드 콘텐츠는 3D 포인트 집합으로 이루어진 3D 데이터로, 일반적으로 3D 포인트 클라우드는 하나의 객체를 표현하기 위하여 수십, 수백만 개의 3차원 포인트(Point) 데이터가 필요하며, 각 포인트 데이터는 3차원 좌표계의 (x, y, z)좌표와 포인트의 색(color), 반사율(reflectance), 법선벡터(normal) 등과 같은 속성(attribute)으로 구성되어 있다. 따라서 기존 2D영상보다 한 단계 높은 차원과 다양한 속성으로 구성된 포인트 클라우드를 사용자에게 제공하기 위해서는 고효율의 인코딩/디코딩 기술 연구가 필요하며, 다양한 대역폭, 장치 및 관심 영역에 따라 차별화된 서비스를 제공하기 위한 품질 확장성 기능의 개발이 요구된다. 이에 본 논문에서는 포인트 클라우드 압축에 사용되는 V-PCC에서 3차원 미디어인 포인트 클라우드의 3D 공간 내 포인트 간의 밀도를 변경하여, 새로운 품질 변화를 달성하고 비트전송률 변경을 추가 지원하는 방법을 제시하였다.

• Journal of Integrative Natural Science
• /
• v.14 no.2
• /
• pp.35-40
• /
• 2021

In this paper, we proposed a multi-subject-level sentiment analysis model for user reviews using the Latent Dirichlet Allocation (LDA) method targeting user-generated content (UGC). Data were collected from users' online reviews of hotels in major tourist cities in the world, and 30 hotel-related topics were extracted using the entire user reviews through the LDA technique. Six major hotel-related themes (Cleanliness, Location, Rooms, Service, Sleep Quality, and Value) were selected from the extracted themes, and emotions were evaluated for sentences corresponding to six themes in each user review in the proposed sentiment analysis model. Sentiment was analyzed using a dictionary. In addition, the performance of the proposed sentiment analysis model was evaluated by comparing the emotional values for each subject in the user reviews and the detailed scores evaluated by the user directly for each hotel attribute. As a result of analyzing the values of accuracy and recall of the proposed sentiment analysis model, it was analyzed that the efficiency was high.

• The Journal of Korea Robotics Society
• /
• v.18 no.2
• /
• pp.216-224
• /
• 2023

Guide robots that provide services in public places have recently emerged as a non-face-to-face solution with the spread of COVID-19 and are growing. However, most guide robots provide only the same level of intelligence and the same interaction in different and changing environments. Therefore, its usefulness is limited and customers' interest is quickly lost. To solve this problem, it is necessary to develop social intelligence that can improve the robot's environment and situational awareness performance, and to continuously maintain customer interest by providing personalized and situational services. In this study, we developed guide robot services based on social HRI components that provides multi-modal context-aware. We evaluated service usefulness by measuring user satisfaction and frequency of use of the service through the survey. We analyzed the service quality attributes to identify the differentiating factors of guide robot based on social HRI components.