• Journal of Digital Contents Society
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• v.18 no.5
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• pp.821-829
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• 2017

In recent, there has been a great change in the shopping market due to the development of the Internet and the generalization of mobile devices. Customers have become more comfortable with online shopping where they can purchase clothes without having to visit their own shop directly. While online shopping is convenient and easy to buy, it is difficult to judge whether it is suitable for you to buy clothes. This paper proposes an application that users virtually coordinate on their own full-body photo or a user-specified model. The proposed application encourages smart purchases by enabling users to see their virtual coordination on their bodies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.79-80
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• 2018

안드로이드 운영체제는 앱을 설치하거나 실행할 때 사용자가 해당 앱이 요청하는 권한들을 승인하도록 하고 있으나, 일반적인 사용자들은 이를 주의 깊게 확인하지 않고 승인하는 경우가 많으며, 과도한 권한들을 요구하는 앱의 실행은 프라이버시 침해 문제로 이어질 수 있다. 본 논문에서는 제공하는 기능들에 비해 과도한 권한들을 요구하는 안드로이드 앱들을 탐지하는 모델을 제안한다. 먼저 손전등, 다이어리, 지불(페이) 및 채팅 앱 207개를 대상으로 요구하는 권한들을 조사하여 정리하였다. 조사 결과를 기준으로 설치 또는 실행하려는 앱이 어느 정도의 권한들을 요구하는지 가늠할 수 있다. 설치된 앱들의 요구 권한들을 조회할 수 있는 앱 프로토타입을 개발하였으며, 향후 모델의 구체화 및 검증을 거쳐, 프로토타입에 적용할 계획이다.

• The Korean Journal of Emergency Medical Services
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• v.24 no.3
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• pp.117-128
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• 2020

Purpose: This study analyzed the information and accessibility of toxic substances provided to Internet websites. Methods: From August 1, 2020, to August 31, 2020, we analyzed eight internet websites regarding toxic pharmaceuticals, pesticides, and chemicals. The website-evaluation criteria were divided into five categories for information and five categories for website convenience. Results: All eight websites about toxic substances were hosted by reliable institutions or organizations and provided accurate information in terms of informational relevance. The website run by the Safety and Health Corporation scored the highest with 100points. Analysis of the websites' accessibility to non-members' revealed that six (75.0%) were accessible, but two (12.5%) provided only limited information. Access to information through mobile apps was only available in three of the eight cases (37.5%). Conclusion: This study can be used as a reference for Internet websites about toxic substances. Toxicological information that can be viewed only with membership and manager approval requires membership in advance of viewing. In addition, emergency medical personnel working at a site or hospital should be familiar with the characteristics of toxicity information retrieval.

• The Korean Journal of Food And Nutrition
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• v.34 no.4
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• pp.365-371
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• 2021

This study was conducted to understand the type of use and satisfaction of delivery food by Chinese and Korean students. In December 2019, Korean and Chinese students living in Gyeonggi Province were analyzed using SPSS. The average number of food deliveries was 1~2 times a month and used 30.7% of the Korean students and 21.8% of the Chinese students. As for how to order food for delivery, 62.2% of Korean college students took up mobile apps, and 49.0% of Chinese students took up mobile phones. In terms of satisfaction after using delivery food, Korean students scored 3.89 points for taste and 3.74 points for using a neat and convenient packaging container, while Chinese students showed the highest score of 3.69 points for past eating experiences and 3.65 points for taste. As for the factors influencing the satisfaction after using the delivered food, the food quality satisfaction (β=0.518) for Korean students and favorable menu factor (β=0.533) for Chinese students were found. Therefore, it is judged that it is necessary to continuously improve the quality, service, convenience and diversity of delivered food, and health and safety factors in order to improve the delivery patterns and satisfaction of college students.

• Journal of the FoodService Safety
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• v.4 no.2
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• pp.48-54
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• 2023

The study explores the impact of nutritional information on calorie prediction and purchase intent. Administered through self-report questionnaires, the research employs two types of stimuli to assess the influence of nutritional information. Hamburger set images, with or without accompanying nutritional details, were randomly presented to simulate the prevalent mobile app environment for fast-food delivery. Respondents were tasked with predicting calorie content and indicating purchase intent on a Likert 7-point scale. Results show a significant difference in calorie prediction based on the presence of nutritional labeling. While consumers expect positive health effects by estimating more exact calorie information with nutritional labeling, it doesn't significantly influence purchase intent. The study also examines consumer awareness and preferences regarding nutritional labeling policies, emphasizing the need for education and promotion. Most participants recognize the necessity of mandatory nutritional labeling in fast-food establishments, especially through delivery applications, to support healthier choices and prevent obesity.

• Journal of Internet Technology
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• v.22 no.2
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• pp.423-439
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• 2021

Android is one of the most popular platforms for the mobile and Internet of Things (IoT) devices. This popularity has made Android-based devices a valuable target of malicious apps. Thus, it is essential to devise automatic and portable malware detection approaches for the Android platform. There are many studies on detecting mobile malware using machine learning techniques. In these studies, however, the dataset is imbalanced or is not large enough to generalize the machine learning model, or the dimensionality of features is too high to apply nonlinear classifiers. In this article, we propose a machine learning-based Android malware detection scheme that uses API calls and permissions as features. To restrict the dimensionality of features, we propose minimal domain knowledge-based and Gini importance-based feature selection. We construct large and balanced real-world datasets to build a generalized and non-skewed model and verify our model through experiments. We achieve 96.51% classification accuracy using Random Forest classifier with low overhead. In addition, we also provide an analysis on falsely classified samples in detail. The analysis results show that API hiding can degrade the performance of API call information-based malware detection systems.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.225-244
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• 2016

As technology progresses, the supply and use of smartphones has become increasingly popular and has significantly transformed modern life. However, users still feel uncomfortable running some mobile apps, as many are created without a thoughtful consideration of usability. Usability evaluations involve several methodologies to identify specific problems in light of various principles. Although usability testing was initially centered on physical services, it has gradually evolved to consider user satisfaction as its main concern. Public transportation applications should be accessible to everyone, and studies should focus on the user's perspective. However, previous user surveys have concentrated on applications' technical aspects or visual design. As a result, there has been a lack of general usability evaluations. This study aimed to evaluate the usability of mobile transportation applications in real life, with a focus on public transportation in Seoul. All the participants were asked to complete a task, an in-depth interview, and a questionnaire survey. In summary, the results suggest that users do not find inappropriate information attractive when it does not satisfy their purpose of use, but rather tend to consider it as interference.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.283-294
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• 2012

Recently increasing usage of smart phones so, the application field of convergence industry between IT technology using smart phone-based mobile communication networks and other industry branches is expanding. In addition, R&D technologies in other fields are applied to smart phone applications effectively in order to develop products and support daily life more convenient. However, it is very hard to control these products and there is no efficient solution for this problem when many people are sent to specific area for big events, such as Biennale, Film Festival, EXPO, and so on. In order to solve this problem, this paper describes a network-based ticket reservation system and its organization using augmented reality on smart phone and mobile communication networks. In particular, we propose a method of designing and developing prototyping system based on smart phone application design technologies, prior to developing real smart phone application.

• Journal of the Korea Convergence Society
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• v.7 no.2
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• pp.25-31
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• 2016

In the study, a convergence model of a mobile-based English speaking test was developed. Based on the needs analysis from Korean college students, a speaking test App for iOS and Android mobile devices was developed and its test validity was examined. To develop the test, test items, scoring features and scales were developed. The result of the needs analysis survey showed that 69 out of 87 (79.3%) owned Android phones whereas only 17 (19.5%) held iPhones. Based on the result, an English speaking test App was developed. The technologies used for the test included HTML5, the Javasciript bridge technology, Node and Express, and Mongo DB. In the experiment, five examinees took the test. The test validity was obtained in that all the functions of the test were successfully operated and some feedback was gathered.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.287-298
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• 2011

With the rage for Netbooks recently, Tablet PC and Smart phone users are rapidly increasing. Despite of the forecast that anticipates frequently practical use in various organizations and society, the comparison studies among the mobile devices rarely exist. The study examines the acceptable intention of the mobile devices, with which can replace traditional workstations and notebooks. UTAUT(Unified Theory of Acceptance and Use of Technology) was applied to the investigation of influencing factors for the acceptable intention, instead of the typical TAM(Technology Acceptance Model). The results illustrate that the significant differences of acceptable intention among the mobile devices occur based on two-side network effect even though some Smart phones share OSs and Apps with Tablet PCs and Netbooks.