• 문화기술의 융합
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• 제3권1호
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• pp.19-23
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• 2017

최근 스마트 폰 사용자가 늘어나면서 스마트 폰에 대한 여러 기능이 추가되고 있고 점점 더 발전되고 있으며, 실제로도 실생활에 편리함을 위해 도움이 되는 많은 Application이 나오고 있다. 본 연구에서는 보고 싶은 영화에 대한 정보를 뉴스 사이트 RSS로 XML 파서를 이용하여 영화와 관련된 뉴스기사를 호출하여 리스트로 출력하였다. 본 안드로이드앱 서버는 Ubuntu로 구축하였으며, 구축한 게시판을 통해 최신 영화정보까지 제공하도록 하였으며, 원하는 정보를 클릭하면 상세정보를 제공하는 메뉴로 배치하였다.

• 한국게임학회 논문지
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• 제20권3호
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• pp.35-44
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• 2020

본 연구에서는 현재 운영 중인 코딩교육 플랫폼인 코딩퍼즐 시스템에서 학습자들이 직접 손으로 조작할 수 있는 탠저블 블록형태로 제작된 코딩퍼즐 입력용 명령어들의 배치를 증강현실 환경에서 제한 시간 안에 안정적으로 다수의 블록을 인식할 수 있는 인식시스템의 설계 및 배치 인식 성능 측정 결과를 제시한다. 그 결과, 5초 이내로 30개 이상의 탠저블 블록 형태의 명령어들의 배치를 안정적으로 인식할 수 있었다. 본 인식시스템을 기존 코딩퍼즐 모바일 앱에 성공적으로 이식하였으며, 블루투스에 연동되는 모바일 앱을 통해 IoT 로봇을 구동할 수 있다.

• 스마트미디어저널
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• 제5권1호
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• pp.122-129
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• 2016

최근 증강현실 기술은 스마트폰 증가추세에 따라 사용자 중심의 상호작용을 지원하는 형태로 발전하고 있다. 논문에서 우리는 관광지 사물인식 기술과 사용자의 위치 정보를 이용하여 실감체험이 가능한 어플리케이션을 구현하였다. 개발 시스템은 스마트폰의 GPS와 비콘 정보를 이용하여 사용자와 관광지 사물의 현 위치를 파악한 후, 두 지점간의 거리와 방향을 계산하여 해당 관광지의 실감체험 콘텐츠를 제공한다. 실감체험 앱을 통하여 우리는 제주를 찾는 관광객들에게 제주의 문화에 대한 이해와 감동을 주는 한편, 무명 관광지의 자원화 가능성을 높이고, 제주 관광의 이미지를 개선하는 효과를 기대할 수 있다.

• International Journal of Computer Science & Network Security
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• 제21권7호
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• pp.317-323
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• 2021

Social media is increasingly becoming a part of our daily life for communicating each other. There are various tools and applications for communication and therefore, identity theft is a common issue among users of such application. A new style of identity theft occurs when cybercriminals break into WhatsApp account, pretend as real friends and demand money or blackmail emotionally. In order to prevent from such issues, data mining can be used for text classification (TC) in analysis authorship attribution (AA) to recognize original sender of the message. Arabic is one of the most spoken languages around the world with different variants. In this research, we built a machine learning model for mining and analyzing the Arabic messages to identify the author of the messages in Saudi dialect. Many points would be addressed regarding authorship attribution mining and analysis: collect Arabic messages in the Saudi dialect, filtration of the messages' tokens. The classification would use a cross-validation technique and different machine-learning algorithms (Naïve Baye, Support Vector Machine). Results of average accuracy for Naïve Baye and Support Vector Machine have been presented and suggestions for future work have been presented.

• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.292-298
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• 2019

Mobile-based software development methodology has been vigorously researched from using object-oriented development methodology and component-based development methodology previous structural developing methodology. There are two types of OS in mobile platform which are android and iOS. There is a problem that the application to be developed is developed depending on the device type. To resolve this problem, first, the system structure and design method should be managed effectively. Second, a basic design guide that can be commonly adapted to the each project is required. In this paper, we define a mobile cross platform meta model based on MDA-development methodology, focusing on reusability, portability and interoperability about non - dependent part of the mobile platform. If the proposed meta-model is applied to manage the related information and all the types of Mobile-Apps become available through independent mobile app development process, henceforward, it will be much of help establishing formulaic mobile-app developmental methodology.

• 한국멀티미디어학회논문지
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• 제22권8호
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• pp.960-973
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• 2019

The increased use of smartphones has made it easier to plan travel. Especially for people travelling in Europe, it is common to move between cities by train, and reserving passes with a mobile app offers many advantages. The Czech Republic, which is a familiar destination for Koreans, is called the "heart of Europe" and it is in central Europe, so it is inevitable to use the railway when travelling. This study has been compared with the structural characteristics of the railway reservation service operated by the Czech and Korean railways. In general, when evaluating the usability of an app, we often use a method that allows a group of users or experts to spot problems. However, this study suggests an analytical method to obtain more reliable and objective results. Also, the analysis of the structural characteristics has an advantage that the problem can be predicted at the prototype stage. This, of course, comes with time and financial benefits. The purpose of this research is to contribute to the development of applications that are more convenient to use and efficiency of development.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.137-151
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• 2020

Purpose Domestic asset management fintech companies are expected to grow by leaps and bounds along with the implementation of the "Data bills." Contrary to the market fever, however, academic research is insufficient. Therefore, we want to analyze user reviews of asset management fintech companies that are expected to grow significantly in the future to derive strengths and complementary points of services that have been provided, and analyze key elements of asset management fintech companies. Design/methodology/approach To analyze large amounts of review text data, this study applied text mining techniques. Bank Salad and Toss, domestic asset management application services, were selected for the study. To get the data, app reviews were crawled in the online app store and preprocessed using natural language processing techniques. Topic Modeling and Aspect-Sentiment Analysis were used as analysis methods. Findings According to the analysis results, this study was able to derive the elements that asset management fintech companies should have. As a result of Topic Modeling, 7 topics were derived from Bank Salad and Toss respectively. As a result, topics related to function and usage and topics on stability and marketing were extracted. Sentiment Analysis showed that users responded positively to function-related topics, but negatively to usage-related topics and stability topics. Through this, we were able to extract the key elements needed for asset management fintech companies.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.127-133
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• 2021

Today, phishing attacks represent one of the biggest security threats targeting users of the digital world. They consist of an attempt to steal sensitive information, such as a user's identity or credit and debit card details, using various methods that include fake emails, fake websites, and fake social media messages. Protecting the user's security and privacy therefore becomes complex, especially when those users are children. Currently, children are participating in Internet activity more frequently than ever before. This activity includes, for example, online gaming, communication, and schoolwork. However, children tend to have a less well-developed knowledge of privacy and security concepts, compared to adults. Consequently, they often become victims of cybercrime. In this paper, the effects of security awareness on users who are children are investigated, looking at their ability to detect phishing attacks in social media. In this approach, two Experiments were conducted to evaluate the effects of security awareness on WhatsApp application users in their daily communication. The results of the Experiments revealed that phishing awareness training has a significant positive effect on the ability of children using WhatsApp to identify phishing messages and thereby avoid attacks.

• 한국의류학회지
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• 제45권1호
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• pp.73-93
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• 2021

This study typifies fashion mobile plays in a digital environment and explores the experiential value created by them through a case study of a fashion brand mobile app. For the case analysis, mobile plays were divided into four types: intrinsic motivation/active participation, intrinsic motivation/passive participation, external motivation/active participation, and external motivation/passive participation, depending on the mobile players motivation and level of participation. Among the global fashion brand mobile apps released from 2009 to 2019, 16 cases suitable for the analytical framework were used for final analyses. The main results are as follows. First, mobile play value include characteristics such as networkability, immersion, hyper-spatiality, and super-temporality in addition to the attributes of a traditional play such as spontaneity, uncertainty, regularity, and playfulness. Second, the four types of mobile play provide participants with an experiential value such as creative value, emotional value, social value, and exploitative value. This study has academic implications in terms of introducing a new framework that can typify mobile plays and suggest practical implications for what experiential value fashion companies can give consumers through mobile app marketing.

• 유통과학연구
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• 제19권9호
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• pp.5-17
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• 2021

Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.