• The Journal of Information Systems
• /
• v.29 no.4
• /
• pp.45-56
• /
• 2020

Purpose The purpose of this study is to present the direction of efficient e-learning education through the importance and satisfaction survey of learners of non-face-to-face video lectures. Therefore, by grasping the degree of satisfaction of the importance ratio through the IPA analysis method, we try to present improvement measures for insufficient education methods. Design/methodology/approach For IPA analysis, we conducted an online survey of four universities and analyzed 154 samples. The analysis method used SPSS, and through the wordcloud analysis method of R, the suggestions for the non-face-to-face lecture method felt by learners were analyzed to derive implications for improving the quality of education. Findings As a result of the overall satisfaction survey for the entire non-face-to-face class, the factors with the greatest dissatisfaction are listed as follows. Complaints about the adequacy of learning materials and activities (quiz, discussion, assignments, etc.), Complaints about how to use the produced content, and complaints about announcements about class management (lecture schedule, lecture method) were identified in order. The factors of dissatisfaction were clear in the non-face-to-face class where interactive communication was impossible or insufficient. In addition to the lack of quick Q&A, there seems to have been a phenomenon of some neglect.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.4
• /
• pp.87-96
• /
• 2023

ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.1
• /
• pp.219-226
• /
• 2010

Recently most parking control systems provide customers with various services, but most of the services are just the extension of parking spaces, automatic parking control system and so on. It is essential to use the satisfaction degree as the extent that customer are satisfied with parking control system to improve the quality of the system services and diversify the system services. The degree of satisfaction is different from customer to customer in same condition and can be represented as linguistic variables. In this paper, we present therefore a technique that quantify how much customer are satisfied with parking control system and fuzzy inference system architecture as a solution that can help us to make a efficient decision for these parking problems. In this architecture, inference engine using fuzzy logic compares context data with the rules in the fuzzy rule-based system, gets the sub-results, aggregates them and defuzzifies the aggregated result using MATLAB application programming to obtain crisp value. Fuzzy inference system architecture presented in this paper, can be used as a efficient method to analyze the satisfaction degree which is represented as fuzzy linguistic variables by human emotion. And it can be used to improve the satisfaction degree of not only parking system but also other service systems of various domains.

• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.3
• /
• pp.27-38
• /
• 2017

This Paper Presents a Method for Stitching a Large Number of Images Recorded by a Large Number of Individual Users Through a Cellular Phone Camera at a Venue. In Contrast to 360 Camera Solutions that Use Existing Fixed Rigs, these Conditions must Address New Challenges Such as Time Synchronization, Repeated Transformation Matrix Calculations, and Camera Sensor Mismatch Correction. In this Paper, we Solve this Problem by Updating the Transformation Matrix Using Time Synchronization Method Using Audio, Sensor Mismatch Removal by Color Transfer Method, and Global Operation Stabilization Algorithm. Experimental Results Show that the Proposed Algorithm Shows better Performance in Terms of Computation Speed and Subjective Image Quality than that of Screen Stitching.

• Journal of Korean Society of Forest Science
• /
• v.87 no.2
• /
• pp.131-144
• /
• 1998

Understanding of the reasons why users in recreation settings select particular trails may provide useful information for effective recreation resources management. This study investigated the present use of the major trails in Mudeung-san Provincial Park and the major influential factors on trail selection. This study was conducted in Mudeung-san Provincial Park stretching over Hwasun-gun and Damyang-gun of Chonnam Province and Kwang-ju city during August in 1996. Data were collected through on-site survey and mail-back questionnaire. 519(44.2%) out of 1173 survey samples were used for analysis. Reasons for selecting a particular trail were classified into 8 major factors. In overall, the order of the importance degree of the factors was 1) aesthetics of landscape, 2) safety(from physical and crime), 3) conditions for health, 4) quietness, 5) familiarity, 6) on the way to the destination, 7) convenience/social, 8) others' intention. There were differences in the degree of importance of each factor depending on trails, users' characteristics(eg., gender, age, group size, visit experience, etc.) and users' behavioral patterns. Recreation motivations were classified into 5 major factors. The order of the importance degree of the factors was 1) contacting with nature, 2) self-training, 3) solitude, 4) social interaction, 5) appreciating cultural properties. Regardless of trails, 'contacting with nature' was the most important factor, and the degree of importance in the other 4 motivational factors showed only a little differences in order according to the trails. There were correlations between major factors for trail selection and recreation motivations. The results of this study may provide foundational information for establishing effective management strategies through better understanding of the present use of trails and influential factors on trail selection. It can be used for reducing the present social and ecological problems caused by use concentration on certain trails and providing users with better quality of diverse recreational experiences. This study discussed the findings, and suggested some management strategies based on these information.

• The Journal of Information Systems
• /
• v.17 no.4
• /
• pp.233-260
• /
• 2008

Universities have recognized e-Learning Systems as the critical IT resources which contribute to improving the competitiveness of the universities as well as the quality of the traditional class-based lectures. Instructors deliver the main contents in the class. Other supplementary activities like online discussions, sharing of teaching-learning materials, submission of homeworks, communication among the learners and between the instructors and the learners, and so on can be efficiently facilitated using e-Learning Systems. In other words, e-Learning Systems enable a blended learning combined class-based lectures and e-learning in a variety of ways. Nonetheless, compared to the level of implementation of e-Learning Systems, the usage of both the instructors and the learners is not high. Accordingly, this study examines the determinants to affect on the usage of e-Learning Systems from the learners perspective. To draw the key determinants, we review the IS literatures related to adoption or use of the IS like Media Richness Theory (MRT), Technology Acceptance Model (TAM), Social Influence Model (SIM), and Self-efficacy Model. The variables are drawn out to be expected on the usage of e-Learning like Media Richness, Ease of Use from MRT, TAM and Instructor's Influence, Co-learner's Influence from SIM, and Self-efficacy. To test our model and hypotheses, we have collected data in the class-based lectures using e-Learning System complementary. The results of the test with 192 data are as follows: Firstly, it shows that the Instructor's Influence and the Media Richness are the influential determinants to affect on the Perception of Usefulness of e-Learning Systems. Additionally, the Co-learner's Influence and Ease of Use in order is significant to the Perception of Usefulness. Secondly, as to the degree of use of the e-Learning Systems, the Co-leaner's Influence, the Media Richness, and the Ease of Use are, in that order, the significant determinants. The Perception of Usefulness, also, founded a key factor on increasing the use of e-Learning Systems. On the other hand, the Instructor's Influence is not significant to the use of e-Learning Systems. Finally, it has been found that Self-efficacy is significant to the Perception of Media Richness, Ease of Use, but not significant to the Perception of Usefulness.

• The Journal of the Korea Contents Association
• /
• v.6 no.5
• /
• pp.170-177
• /
• 2006

The purpose of this study is to enhance efficiency of menu management of information system on the institutional restaurant according to the academic background, working career, and times of meal serving. The questionnaires were distributed to 120 units. A total of 116 questionnaires were usable. First, result that is significant to menu management factor at meals manager's work career and food information system operation analyzed that is. Second, analyzed that difference of meals subdivision meal number is not significant to menu management factor at food information system operation. Third, manager's attainments in scholarship which operate food information system analyzed that practical use degree is significant to menu management factor at food information system operation.

• Journal of KIISE
• /
• v.41 no.11
• /
• pp.974-981
• /
• 2014

These days, use of multimedia streaming service and demand of QoS (Quality of Service) improvement have been increased because of development of network. QoS of streaming service is influenced by a jitter, delay, throughput, and loss rate. For guaranteeing these factors which are influencing QoS, the role of transport layer is very important. But existing TCP which is a typical transport layer protocol increases the size of congestion window slowly and decreases the size of a congestion window drastically. These TCP characteristic have a problem which cannot guarantee the QoS of UHD multimedia streaming service. In this paper, we propose a router buffer based congestion control method for improving the QoS of UHD streaming services. Our proposed scheme applies congestion window growth rate differentially according to a degree of congestion for preventing an excess of available bandwidth and maintaining a high bandwidth occupied. Also, our proposed scheme can control the size of congestion window according to a change of delay. After comparing with other congestion control protocols in the jitter, throughput, and loss rate, we found that our proposed scheme can offer a service which is suitable for the UDH streaming service.

• Environmental and Resource Economics Review
• /
• v.29 no.3
• /
• pp.313-333
• /
• 2020

This paper shows that when the exchange rate changes, there are conflicting effects on improving the quality and increasing market share of eco-friendly vehicles. In a vertically differentiated duopoly model consisting of high quality clean cars and low quality internal combustion engine cars, I set up a two-stage noncooperative game under perfect information that the quality levels and the prices of the cars are competitively determined. The vehicles are assumed to be produced in countries that use distinct currencies. When the exchange rate of the country that produces low quality cars rises, the producer prefers to intensify competition due to the relatively lowed cost, and the incentive for quality improvement arises from the intension of attempting to reduce the degree of differentiation of quality level. At this time, the clean car manufacturing firm tries to avoid competition due to weakened competitiveness, and increases the quality level to expand quality differentiation. However, in this case, the market share of eco-friendly vehicles shrinks. On the other hand, if the exchange rate changes in the opposite direction, the market share of eco-friendly vehicles is expected to increase, but the quality of both cars are deteriorated, causing a conflict effect.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2007.04a
• /
• pp.59-63
• /
• 2007

Customers have the various needs and personalities and try to get them. The behaviour of buying products, one of the highlight things, is the most general phenomenon of filling up their desires, and even these types are eventually personalized. Also there are various criteria for selecting it and also those are to be determined by the customers' own personalities. Mostly customers show the more attractive behaviours for those products which are more attractive to them, and for carefully buying them they use various paths. The criteria to buy the products are the mostly generalized things such as price, design, size, weight, trend, and so on, and it can be affected by the specifics of the products. But it is not definitely unimportant to consider the personality. Customers have the unusual personality for the product which is more attractive to them, and then for the unattractive, they only show the unclear criteria or specifics. The existing studies are focused on the product itself, and then they just show the results related to the specifics of the products, but it could be considered a case that the customers could think some products classified into the highly involvement products would be the lower involvement ones. Upon this, for same products if the customers show some differences of information(relating to the degree of involvement), I am going to figure it out by using AHP that what the criteria to buy is. In this study, with the computer products which are considered as the highly involvement products, I will select two groups showing the differences of awareness of the products, and then figure out the selecting criteria.