• Annual Conference of KIPS
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• 2023.05a
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• pp.562-564
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• 2023

스마트폰 발전으로 인한 SNS(Social Network Service), 웹 검색 및 활용 등 편리함과 유용성을 가져다 주었지만 안드로이드 APP의 개방성으로 인하여 프로그램의 원칙적 특성을 악용한 취약점이 발생하고 있다. 이를 대응하는 해결방안으로 API에 대한 요청 데이터를 모듈을 통하여 로그 값을 수집한다. 수집된 데이터는 로그 값을 시간을 기준으로 라벨링하여 이상치 탐지 알고리즘인 OCSVM의 이상치 평균으로 사용하여 실시간 데이터 영향을 받는 하이퍼파라미터 C 와 r 값을 Grid Search 기법을 통해 조정함으로써 최적의 파라미터 값을 찾는 시스템을 제안한다.

• Educational Technology International
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• v.13 no.1
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• pp.175-205
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• 2012

The current study investigated whether SNS such as Twitter can be an assisting tool to compensate the limitations of online learning from social-affective and cognitive perspectives. Such limitations include low level of motivation to participate, feeling of isolation, rare exchanges of ideas and feedback from peers or instructors. This paper reports findings from a research study on the use of Twitter in online learning in Higher Education. Survey and subsequent interviews were conducted to examine students' perceptions about the cognitive and social-affective aspects of their participation in Twitter activities. Some of the challenges and potentials in integrating Twitter into online course are also addressed. It can be concluded that Twitter contributes not only to building close relationships among peers and instructors but also to opening a communication channel that can extend cognitive potentials.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.143-155
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• 2016

This study conducted a survey and emperical analysis of SNS based consumer experience visits to eat out companies. A total of 350 questionnaires were collected of which 28 were deemed unreliable, leaving 322 responses to be used in the analysis. SPSS 22.0 was employed to carry out frequency analysis, factor analysis, and reliability analysis, correlation analysis, and regression analysis. First, choose eat out properties multiple regression analysis on the impact on customer satisfaction, overall explanatory power of the regression equation $R^2=.521$ (adjusted $R^2=.515$) and F values were analyzed statistically significant the influence of the positive (+) with 86.325 p=0.000 and the regression equation. Content type pursuit of independent variables (B=0.540, p<0.001), seeking safety type (B=0.292, p<0.001) were significantly appeared showed the influence of the positive (+), Pursuit convenience-type (B=0.071, p<0.001) and the pursuit of dignity type (B=0.002, p<0.001) the sub-showed the influence of (-). Second, the multiple regression analysis on the impact on customer satisfaction to others is recommended explanatory power is $R^2=.539$ (adjusted $R^2=.538$) and F values are analyzed by a statistical regression equation p=0.000 and 374.765 in significance showed that the model fit the regression line. Customer satisfaction is the independent variable was the influence of the positive (+) to (B=0.540, p<0.001).

• Culinary science and hospitality research
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• v.19 no.2
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• pp.176-189
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• 2013

This study has been conducted on 213 students in 4-year universities located in the regions of Daejeon and Chungnam in order to investigate a method to develop a smart device based culinary education application and the results and development method were as follows. First, the most often used smart device was a smart phone, which is used for over 5 hours a day and mainly used for SNS. Second, they utilized a smart device for language and major study during their spare time, wanted educational contents most and thought them useful for learning. Third, most of the students were positively aware of the necessity and learning effects of culinary education applications, and the response rate to utilize the application once a week was highest. Also, they hoped various recipes and simple cuisine and craftsman cooking. Therefore, the functions of SNS mostly often used by students should be added to promote interaction between teachers and students. And more contents should be made for students to use easily in moving or in their spare time. Furthermore, various videos of teaching and theoretical information should be included. And the applications focused on recipes and simple and craftsman cooking should be developed and uploaded on a school homepage and on popular portal sites so that students can easily utilize them.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.56-70
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• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.447-454
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• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.199-209
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• 2019

With the rapid development of mobile communication tools, customers are using SNS as a major information tool. SNS can provide information to a small number of customers as well as people around them, with information about a product or service that a small number of customers know through experience. With these characteristics, dessert cafes are being used as a major marketing tool for online websites and mobile phones using SNS. Therefore, in this study, theoretical considerations about e-WOM quality, perceived value, and visit intention were performed. The effect of e-WOM quality of dessert cafe on perceived value was analyzed and the effect of perceived value on visit intention was analyzed. Based on these results, I would like to suggest theoretical implications and practical implications for online marketing of dessert cafes. This study was conducted to survey the customers who have visited dessert cafe through oral communication within the last 6 months. The survey was conducted from September 4, 2018 to September 18, 2018, and was used for the analysis of 317 additional items. The research hypotheses between the e-WOM quality of the dessert cafe and the utilitarian value, hedonic value, and visiting intention were used the structural equation model(SEM). First, neutrality and interactivity have a significant effect on utilitarian value, but consensus and vividness have not significant effect. Second, It was found that the consensus, vividness, and neutrality had a significant effect on the hedonic value but interactivity was not found to have a significant effect. Third, hedonic value has a significant effect on visit intention, but utilitarian value has not significant effect. As a result, online e-WOM quality management is important.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.89-107
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• 2021

This paper explores the empirically analyzes the competitive nature of the five social media by analyzing the proper SNS service such as Facebook, Instagram, YouTube, Pinterest, and Twitter. In this study, we surveyed the use and satisfaction of social media for SNS users by using the proper theory. A total of 224 users were selected for analysis. Based on the results of the questionnaire, factor analysis was carried out to extract common factors such as relationship, sociality, convenience, daily life, and entertainment. As a result of the research using proper analysis, Facebook showed the widest narrowness in sociality (.627) and convenience (.636) in the first place, and YouTube showed the lowest in daily life (.670) and entertainment (.615) In the relationship (.520), the Instagram was the widest. In terms of five factors, Facebook and YouTube have the greatest overlap in relationship (1.826) and sociality (2.696), while Pinterest and Twitter are the most common in daily life (1.937) and entertainment (2.263) There is redundancy, and for convenience (2.583), YouTube and Twitter have the most redundancy. Facebook, Instagram, and YouTube have a competitive advantage over Pinterest in terms of relationships, sociality, convenience, routine, and entertainment, and are competitive across all factors except Facebook, Instagram, and YouTube Twitter It is possible to confirm that it is superior.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.6
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• pp.643-656
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• 2019

The development of hot social networking services, including the Internet, has transformed rental car services into IT-based car-sharing services. The car-sharing service is a service that allows people to rent cars online without having to face-to-face. It has become the preffered service among young people who are accustomed to drinking and eating alone. Users can use their smartphones to book their types of cars and hours of rent, and then go to a nearby designated parking lot to use their reserved cars. You can open a designated car door with a smart phone and drive. It is a very convenient service to pay for the distance you drive. However, the car-sharing service already in use in business has the following problems: underage who do not have a driver's license may drive a car borrowed by an acquaintance, the status of a license registered at the time of join membership with a car-sharing company may change to a suspension or cancellation of a license while renting and driving, or even a drunk person may rent a car and drive. In this paper, the method to solve these problems has been studied and proposed. The proposed method is to reduce the cost of investment by a car-sharing service provider and to minimize user inconvenience. And, it was compared and analyzed with the existing method. For the method to be used efficiently, the active operation of the car-sharing company and the government's policies will have to be supported.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.405-411
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• 2019

The purpose of the study is to investigate a usability of using fashion and beauty service and suggest better user experience on Instagram's newly released mobile video platform, IGTV. The study expects to be a resource of improving the usability on fashion and beauty contents on IGTV and encourage further research for suggesting better guidelines. As a research method, it will experiment current mobile video service first with literature review. Afterwards, the research conducted tasks and in-depth interview with eight Instagram users to evaluate a usability of using fashion and beauty service on IGTV. As a result, it is able to derive two plans that needed improvement. Firstly, IGTV is required to have high accessibility for user's to use service longer and intuitive user experience. Secondly, unlike previous service that Instagram have offered, IGTV need to differentiate to share and get information of fashion and beauty trends.