• Title/Summary/Keyword: Smart App

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Development of the Smart Autonomous Moving Air Purifier System (스마트 자율주행 공기청정기 시스템 개발)

  • Lim, Ah-Yeon;Shin, Hyo-Jin;Jeong, Eui-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.109-114
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    • 2022
  • Recently, since fine dust has become a serious social problem, air purifiers are in the spotlight as a countermeasure against this. Therefore, in this paper, we conducted R&D on the Smart Autonomous Moving Air Purifier System. The developed Smart Autonomous Moving Air Purifier can improve the limitations of the standard used area of existing air purifiers and perform an air purification function efficiently. In addition, we developed App and Web-based programs together for convenient use of Smart Autonomous Moving Air Purifier. Easily operate three air purification modes (Selection mode, Autonomous highest zone mode, Autonomous instant purification mode) through the App and conveniently monitor statistical values (Recent data, Total data, Warning) anywhere through the Web. And, we showed through test that the proposed Smart Autonomous Moving Air Purifier is more efficient than existing air purifiers.

Measuring the Economic Impact of Item Descriptions on Sales Performance (온라인 상품 판매 성과에 영향을 미치는 상품 소개글 효과 측정 기법)

  • Lee, Dongwon;Park, Sung-Hyuk;Moon, Songchun
    • Journal of Intelligence and Information Systems
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    • v.18 no.4
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    • pp.1-17
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    • 2012
  • Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

Development of Tourism Information Named Entity Recognition Datasets for the Fine-tune KoBERT-CRF Model

  • Jwa, Myeong-Cheol;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.55-62
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    • 2022
  • A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

Development of Guide and Facility Management App by using Augmented Reality and QR Code (증강 현실과 QR 코드를 이용한 안내 및 설비 관리 앱 개발)

  • Cho, Kwangmoon
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.245-249
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    • 2014
  • An app based on the augmented reality and QR codes is developed in this paper. This app is for guidance to the harbor and management the facilities in ships. Using the smart device app people could receive guidance the course to visit Mokpo harbor and information for the port and ship's facilities. Through the utilization of smart devices, the app is easy to find the desired destination to and provide the convenience of tourists. In addition, by using the QR code people could see an explanation of the ship's facilities and write the inspection reports for the facilities.

A Study On Learning App Using An Android Smart Phone (안드로이드 스마트폰을 이용한 학습용 앱 개발)

  • Yoon, Seok-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.01a
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    • pp.223-225
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    • 2012
  • 본 논문에서는 안드로이드 기반 스마트폰을 이용하여 유아 및 아동을 대상으로 하는 학습용 동화 앱의 구현 내용을 소개하였다. 이미 상용화 되어 있는 학습용 앱의 기능 외에 게임적 요소를 접목하여 학습의 효과와 흥미를 높일 수 있도록 하였다. 듣고 쓸 수 있는 학습용 전자 동화책으로 평가할 수 있다. 안드로이드 마켓에 배포하여 서비스를 할 수 있으며 본 연구의 과정은 앱 설계 관련 프로젝트의 수행이나 학습용 앱 개발의 학습 모형을 제시한 사례로 활용할 수 있다.

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A Story Between You and Me (너와 나의 이야기)

  • Kim, Young-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.433-434
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    • 2019
  • 본 작품은 학생들의 캡스톤디자인 작품이다. 본 작품은 특정한 형식에 구애받지 않고 자신만의 생각을 텍스트뿐만아니라 여기에 사진과 동영상 등의 다양한 멀티미디어를 함께 첨부할 수 있는 앱 형식의 전자책을 개발하고자 한다. 이 전자책은 디자인 템플릿을 통해 예쁘게 꾸밀 수 있으며, 본인이 담고 싶은 글을 책으로 만들고, 이렇게 만들어진 개성 있는 전자책은 상대방에게 공유를 통해 선물할 수 있는 어플리케이션으로 개발하고자 한다.

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Immersive Storybook Contents based on Virtual Reality (가상현실 기반으로 한 몰입형 동화 콘텐츠)

  • Song, Mi-Young;Kim, Hae-In
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.55-56
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    • 2022
  • 본 논문에서는 유·아동의 독서활동을 돕고자 기존에 있는 동화책과 가상현실 기술을 결합한 몰입형 동화 콘텐츠를 제안한다. VR 환경은 3D 입체 환경을 통한 중다감각적 상호작용을 가능하게 하여 학습자로부터 동기를 유발시킨다. 프로그램이 시작되면 컨트롤러가 활성화되며 동화보기, 미니게임 등 동화에 직접적으로 참여하여 즐길 수 있는 콘텐츠로, 향후 유·아동의 교육적인 면에서도 더욱 효과적일 것으로 기대된다.

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App Inventor 2 As a Tool for Enhancement of Computational Thinking (Computational Thinking 향상 도구로서의 App Inventor 2)

  • Lim, Byeongchoon
    • Journal of The Korean Association of Information Education
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    • v.20 no.5
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    • pp.519-526
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    • 2016
  • MIT App Inventor 2, much like the other block-based programming languages such as Scratch and Alice, is a useful tool that can be utilized to improve the computational thinking skills for students. The coding and the execution of program are done mainly on the computer in Scratch programming, but in App Inventor 2 programming, the students can execute the program and get immediate feedback on the smart-phone in the middle of the programming. Therefore, we can expect better enhanced learning effect. In this study, it has been claimed that the learning of App Inventor2 can strengthen the computational thinking skills of our students by extracting four core concepts of the computational thinking and then showing how these concepts are applied through the learning of App Inventor 2.

Smart Advertising and Smart Coupon Services (스마트 광고 및 스마트 쿠폰 서비스)

  • Lee, Se-Hoon;Kim, Ki-Hun;Shin, Dae-Su;Song, Kang-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.237-240
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    • 2013
  • 21세기 스마트폰이 활성화됨에 따라 SNS(Social Network Service)의 사용이 급증하고 있으며, 기업 및 개인은 SNS의 파장효과를 이용하여 홍보 수단으로 활용하고 있다. 다양한 SNS가 존재함에 따라 각 SNS 별도의 계정을 이용하여 운영하고 있다. 이에 따라 각각의 독립적인 운영으로 관리작업이 늘어나고 효율적인 활용이 제약받게 된다. 본 논문에서는 HTML5 웹 표준화 기술을 적용, 운영체제(OS), 스크린(Screen), 브라우저(Browser)에 제약받지 않는 APP을 구현(implement)하고, 이 APP으로 홍보뿐만 아닌 기존의 쿠폰이 제공하지 못하는 사용자의 편의성 부분을, 스마트폰이 탑재하고 있는 NFC 기반의 모바일 쿠폰시스템까지 구현한다.

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Development of a Flash-based Schedule Management Tool for Smart Devices

  • Jang, Myunghoun
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.6
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    • pp.558-565
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    • 2012
  • Schedule management of construction work is critical to completing construction projects within a given period of time. Many efforts have been made and multiple tools have been developed to support the management of construction projects using smart devices such as smartphones and tablet PCs. This study proposed a method for managing construction schedules via a smart device using Flash. The interactive and graphic properties of Flash enable the development of an app that can allow a field manager to manage schedules easily and efficiently. A prototype was implemented using Adobe Flex Builder, and a sample network was applied in a smartphone. It is convenient for a construction manager to manage construction schedules using the tool because Flash controls graphic components easily. In further studies, network diagrams such as CPM (Critical Path Method) should be developed and applied to the app.