• The Transactions of the Korea Information Processing Society
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• v.4 no.10
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• pp.2533-2543
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• 1997

It is necessary to understand and apply the concept of Quality of Service(QoS) for the objective selection among the computer network equipment. Because ITU-T E.800 recommendation covers the service quality of provider's viewpoint and the satisfaction of user, it can be used to evaluate and select the product of computer network systems. This paper is concerned with the development of an evaluation model using QoS and software tool for selection of the most suitable LAN switch. We apply the Analytic Hierarchy Process(AHP) method of Saaty which has been in a multiple criteria framework for an effective group decision process to the selection of LAN switch. The sample data are collected and processed from a questionnaire of professionals in the network field. And we implement a prototype tool for the selection of LAN switch according to the suggested selection model and analyse the result. The result of our research is expected to be a useful tool for decision making to evaluate and select the LAN switch and also can be applied to the decision making of evaluation and selection related to the product of computer network with QoS.

• The Journal of Korean Society for School & Community Health Education
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• v.12 no.2
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• pp.113-127
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• 2011

Background: University health services have provided comprehensive medical care, counseling, health promotion, and public health services to their students and several other local institutions. To their faculty and staff, university health care centers have served occupational health services and employee assistant program. Purpose: We performed this study to review the health promotion services on two kinds of health care center with different style of university formate. Methods: We tried to collect the data by literature review and interview with executive and provider at health care center in University of California at Berkeley and San Jose State University. Results: Our results were as followed. First, students could use the medical services just as they would their regular doctor's office and urgent care center. Second, the health promotion unit offered programs and services for keeping students healthy and safe, including many opportunities for students to get involved in shaping the public health of the campus. Third, the health promotion recommendation offered from ACHA was useful guideline to improve health status of their member in university campus. Finally, the student satisfaction surveys were used for evaluation and quality improvement. Conclusions: The systematic approach to improve health status of students, faculty and staff can use to maintain a state of optimum health among the diverse student community in support of academic excellence. Coupled with health promotion and public health programs, university health service have to reach all segments of the healthy campus community. To achieve study goals in university, the health care center contributes to promote accountability and responsibility for the health and well being of the members in their campus.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.495-503
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• 2015

This study attempts to reveal that the connection between consumers' self enhancement and consumer-brand relationship can be formed from brand experiences not only through a direct use of products or brands but also through companies' marketing activities including advertising or promotion, in that consumers' sensual, affective, cognitive, and behavioral response to brands are included in brand experiences. After experiencing the Samsung Galaxy S brand with manipulated stimulus, 248 respondents' positive emotion and self-enhancement were increased. Also the positive emotion induced by brand experience increase self-enhancement. This study also shows that brand experience and self-enhancement can significantly affect consumer-brand relationship which in turn affects brand loyalty such as satisfaction, recommendation intention, and repurchase intention. Experiencing strong, favorable, and attractive brand personalities may help consumers to increase positive emotions with self-enhancement and help companies to have brand loyalty through consumer-brand relationship.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.131-137
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• 2018

In this study, the results of the IPP system were examined and the direction of development was suggested from the viewpoint of students participating in long-term field practice. The participating students recognized that the IPP system was helpful in enhancing their major competence, non-major competence, and job competitiveness. On the other hand, satisfaction with practicing companies and operating universities remains at a normal level for three years, and the intention to recommend IPP system to junior colleagues and colleagues has been consistently high for three years. The more consistent the desired job and the IPP participation job, the greater the positive perception of the IPP effect and the greater the recommendation intention of IPP system.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.87-94
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• 2021

The purpose of this study is to categorize tourists according to the types of Korean popular culture as travel motives and to explore their characteristics and behavior in the tourism-related decision-making process. A sample of 12,914 leisure tourists from the 2018 foreign tourist survey data was analyzed using MNL and ANOVA. The popular cultural tourists were categorized into K-food, K-fashion, and K-pop groups. They showed a higher percentage of female tourists, social media usage in the tourism information search, and visits from countries geographically close to Korea. K-pop tourists did not hesitate to choose Korea as the destination and visited Korea the most frequently. They showed the highest satisfaction, revisit intention and recommendation intention, suggesting loyalty and growth potential.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1321-1329
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• 2019

With the development of social information networks, the marketing methods are also changing in various ways. Unlike successful marketing methods based on existing celebrities and financial support, Influencer-based marketing is a big trend and very famous. In this paper, we first extract influencer features from more than 54 YouTube channels using the multi-dimensional qualitative analysis based on the meta information and comment data analysis of YouTube, model representative themes to maximize a personalized video satisfaction. Plus, the purpose of this study is to provide supplementary means for the successful promotion and marketing by creating and distributing videos of new items by referring to the existing Influencer features. For that we assume all comments of various videos for each channel as each document, TF-IDF (Term Frequency and Inverse Document Frequency) and LDA (Latent Dirichlet Allocation) algorithms are applied to maximize performance of the proposed scheme. Based on the performance evaluation, we proved the proposed scheme is better than other schemes.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.267-272
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• 2021

This study's purpose is to investigate the effects of reading movie scripts aloud in non-face-to-face general English courses on international students' English ability in the COVID-19 era. A general English class was delivered once a week for 15 weeks to 47 international students at a Seoul-based university. The animated movie Tangled and its script were used as learning materials. Biweekly, students had to watch video lectures using the university's learning management system(LMS) and read scripts aloud through Zoom. In the video lectures, the teacher went over specific vocabulary and interpreted the movie scripts in easy Korean. For the second activity through Zoom, international students read the movie script aloud individually and in groups. The post-test revealed significant improvements in both reading and writing, as compared to the pre-test. Through the study's survey, participants exhibited positive attitudes in affective domains(understanding, satisfaction, interest, and recommendation).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.877-883
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• 2021

Artificial intelligence technology is widely used in industrial and smart home fields such as manufacturing robots, artificial intelligence speakers, and robot vacuum cleaners. In this paper, we designed and implemented a 1:1 chatbot system based on artificial intelligence for use in RCMS (Real-time Cash Management System). The RCMS chatbot implemented in this paper was constructed with a total of 210 query scenarios in nine areas, including research expenses and system usage, based on 13,500 questions and answers from existing online bulletin boards. The chatbot is expected to solve the problem of insufficient number of counselors and to increase user satisfaction by responding to the researcher's inquiries after working hours, and the recommendation service for the cost of use, which had the most inquiries from researchers, reduces the number of consultations. It is expected to improve the quality of answers to other counseling inquiries.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.9-16
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• 2023

In the IoT environment, various objects mutually interactive, and various services can be composed based on this environment. In the previous study, we have developed a resource collaboration system to provide services by substituting limited resources in the user's personal device using resource collaboration. However, in the preceding system, when the number of resources and situations increases, the inference time increases exponentially. To solve this problem, this study proposes a method of classifying users and resources by applying the BIG5 user type classification model. In this paper, we propose a method to reduce the inference time by filtering the user's preferred resources through BIG5 type-based preprocessing and using the filtered resources as an input to the recommendation system. We implement the proposed method as a prototype system and show the validation of our approach through performance and user satisfaction evaluation.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.75-82
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• 2023

In collaborative filtering systems, the item rating prediction values calculated by the systems are very important for customer satisfaction with the recommendation list. In the time-aware system, predictions are calculated by reflecting the rating time of users, and in general, exponentially lower weights are assigned to past rating values. In this study, to find out whether the influence of rating time on the rating value varies according to various factors, the correlation between user rating value and rating time is investigated by the degree of user rating activity, the popularity of items, and item genres. As a result, using two types of public datasets, especially in the sparse dataset, significantly different correlation index values were obtained for each factor. Therefore, it is confirmed that the influence weight of the rating time on the rating prediction value should be set differently in consideration of the above-mentioned various factors as well as the density of the dataset.