• Title/Summary/Keyword: Application(App)

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A study on the offering of the latest film information using XML Parser (XML Parser를 활용한 최신 영화 정보 제공 연구)

  • Choi, Jae-Hyung;Koo, Min-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.3 no.1
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    • pp.19-23
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    • 2017
  • With the increase in the number of smart phone users, smart phones themselves are seeing progress in terms of available functions. Many applications, too, are being developed to increase convenience in daily life. This study issued a list of information on films that the user wishes to see, by using an XML parser to call news articles related to the films in question to the news site RSS. The Android App server was built using Ubuntu and the latest film information was provided through the board that was built. The menu was consisted in a manner so that when the information interested was clicked on, a more detailed set of information became available.

Development of AR-based Coding Puzzle Mobile Application Using Command Placement Recognition (명령어 배치 인식을 활용한 AR 코딩퍼즐 모바일앱 개발)

  • Seo, Beomjoo;Cho, Sung Hyun
    • Journal of Korea Game Society
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    • v.20 no.3
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    • pp.35-44
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    • 2020
  • In this study, we propose a reliable command placement recognition algorithm using tangible commands blocks developed for our coding puzzle platform, and present its performance measurement results on an Augmented Reality testbed environment. As a result, it can recognize up to 30 tangible blocks simultaneously and their placements within 5 seconds reliably. It is successfully ported to an existing coding puzzle mobile app and can operate an IoT attached robot via bluetooth connected mobile app.

Implementation of Realistic Experience Application Contents for Tourist Spots Object Recognition Using Augmented Reality Technology (증강현실을 적용한 관광지 사물인식 실감체험 앱 콘텐츠 구현)

  • Kim, Young Sang;Kim, Young Ick
    • Smart Media Journal
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    • v.5 no.1
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    • pp.122-129
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    • 2016
  • In recent years, the Augmented Reality Technology is improving in order to support the user-oriented interaction depending on growing trend in smart phones. In this paper, we present the Realistic Experience App. Contents which help the smart phone users experience the real situations by using the Object Recognition Technology of the tourist attractions and the users' location information. The developed system pinpoints both the location of the user and that of the tourist spot object through the GPS of the smart phone and the information of Beacon, providing the realistic experience contents about the tourist attraction after estimating the distance and the direction between the user and the place. The Realistic Experience App. Contents are expected not only to impress the culture of Jeju on the tourists but also to increase the potential to uncover the unknown tourist attractions and improve the image of Jeju as one of the best sightseeing cities.

Identifying Mobile Owner based on Authorship Attribution using WhatsApp Conversation

  • Almezaini, Badr Mohammd;Khan, Muhammad Asif
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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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.

Design MetaModel for MCF (Mobile Cross Framework) Based MDA (MDA기반 모바일 크로스 프레임워크를 위한 메타모델 설계)

  • Song, Yujin;Han, Deoksoo;Lee, Eunjoo
    • Journal of Korea Multimedia Society
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    • v.22 no.2
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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.

A Comparative Study on the Structural Characteristics of Railway Reservation Mobile Applications in Korea and Czech Republic (한국과 체코의 철도 탑승권 예약 애플리케이션의 구조적 특성 비교연구)

  • Nam, Minkyung;Kim, Suktae;Kim, Tae-Sik;Jung, Eui Tay
    • Journal of Korea Multimedia Society
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    • v.22 no.8
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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.

An Analysis of Key Elements for FinTech Companies Based on Text Mining: From the User's Review (텍스트 마이닝 기반의 자산관리 핀테크 기업 핵심 요소 분석: 사용자 리뷰를 바탕으로)

  • Son, Aelin;Shin, Wangsoo;Lee, Zoonky
    • The Journal of Information Systems
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    • v.29 no.4
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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.

How Do Children Interact with Phishing Attacks?

  • Alwanain, Mohammed I
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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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.

Types and Experiential Value of Fashion Mobile Play -Focusing on Play Theory- (패션 모바일 놀이의 유형과 경험적 가치 -놀이 이론을 중심으로-)

  • Park, Shin Young;Lee, Yoon Kyung;Lee, Mi Ah
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.1
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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.

Retail Distribution Strategies for Train Tickets: The Extended UTAUT Model

  • PARK, Yoon-Joo;AHN, Sung-Sook
    • Journal of Distribution Science
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    • v.19 no.9
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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.