• Title/Summary/Keyword: 스마트폰 App

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Implementation of the Shore-based Maritime Information Service Platform for e-Navigation Strategic Implementation Plan (e-Navigation 전략 이행 계획 대응을 위한 Shore 기반 해상정보 서비스 플랫폼 구현)

  • Jang, In-Sung;Kim, Min-Soo
    • Journal of Navigation and Port Research
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    • v.39 no.3
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    • pp.157-163
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    • 2015
  • Recently, there has been much interest in the e-Navigation that applies a variety of digital devices to shipboard thanks to the high interest to maritime safety and the rapid development of ICT technologies. The e-Navigation proposes a new ICT paradigm in maritime information service and maritime safety. This study proposes the shore-based maritime information service platform that enables the converged services of various kinds of maritime data and the standard ENC based on IHO S-100. The proposed maritime information service platform enables the harmonized integration, presentation and web services of ENC, sensed data such as AIS, ocean weather and currents, and geospatial data. Also, the platform enables the mobile maritime information service through WebApp or App software operating in mobile devices of smart phone or web pad. Finally, the proposed platform accommodates the standard ENC of the existing S-57 and the new S-101, and the standard web services of WMS and WMTS of ISO 19100 and OGC.

Implementation of Smart Ventilation Control System using IoT and Machine Learning (IoT와 기계학습을 이용한 스마트 환풍기 제어 시스템 구현)

  • Lee, Hui-Eun;Choi, Jin-ku
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.283-287
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    • 2020
  • In this paper, we implemented a control for ventilation system based on IoT. It can on/off of system and monitoring current status through the smartphone app. We applied linear regression, one of machine learning algorithm. It autonomously collects data about temperature, humidity in home and works diagnosing system status. Using this proposed control method, the energy efficiency can be improved. It is expected to be used in energy efficiency and convenience.

Design of The Smart Conveyer Belt Control Mechanism using Arduino (아두이노를 활용한 스마트 컨베이어 벨트 제어 메카니즘 설계)

  • Hong, Yoo-Lee;Ha, Se-Ryeung;Kim, Tai-Woo
    • Journal of Internet of Things and Convergence
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    • v.2 no.2
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    • pp.7-13
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    • 2016
  • They produces the products using conveyer belts in many factories. However, so many accidents are occurred in the conveyer belts at the factories. It needs to prevent the any kinds of accidents in the conveyer belts. In this paper, we designed the smart conveyer belt and developed the smart conveyer control mechanism that provides more safe operation. Particularly, We proposed the methodologies to control conveyer belt using smart phone to prevent the accidents. Through this study, we expect the smart conveyer will be adapt to not only factories but also various kind of conveyer such as escalator in the subway.

A Study on Tainting Technique for leaking official certificates Malicious App Detection in Android (공인인증서 유출형 안드로이드 악성앱 탐지를 위한 Tainting 기법 활용 연구)

  • Yoon, Hanj Jae;Lee, Man Hee
    • Convergence Security Journal
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    • v.18 no.3
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    • pp.27-35
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    • 2018
  • The certificate is electronic information issued by an accredited certification body to certify an individual or to prevent forgery and alteration between communications. Certified certificates are stored in PCs and smart phones in the form of encrypted files and are used to prove individuals when using Internet banking and smart banking services. Among the rapidly growing Android-based malicious applications are malicious apps that leak personal information, especially certificates that exist in the form of files. This paper proposes a method for judging whether malicious codes leak certificates by using DroidBox, an Android-based dynamic analysis tool.

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The Analysis of the Characteristic Types of Fashion Brand Application - Concentrating on Korean Application cases - (패션 브랜드 어플리케이션의 특징적 유형 분석 - 한국 계정 어플리케이션 사례를 중심으로 -)

  • Park, Min-A;Ko, Hyun-Zin
    • Journal of the Korean Society of Costume
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    • v.64 no.1
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    • pp.136-151
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    • 2014
  • This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.

Preliminary Study on All-in-JPEG with Multi-Content Storage Format extending JPEG (JPEG를 확장한 멀티 콘텐츠 저장 포맷 All-in-JPEG에 관한 예비 연구)

  • Yu-Jin Kim;Kyung-Mi Kim;Song-Yeon Yoo;Chae-Won Park;Kitae Hwang;In-Hwan Jung;Jae-Moon Lee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.5
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    • pp.183-189
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    • 2023
  • This paper proposes a new JPEG format, All-in-JPEG, which can include not only multiple photos but also various media such as audio and text by extending the JPEG format. All-in-JPEG add images, audio, and text at the existing JPEG file, and stores meta information by utilizing the APP3 segment of JPEG. With All-in-JPEG, smartphone users can save many pictures taken in burst shots in one file, and it is also very convenient to share them with others. In addition, you can create a live photo, such as saving a short audio at the time of taking a photo or moving a part of the photo. In addition, it can be used for various applications such as a photo diary app that stores images, voices, and diary text in a single All-in-JPEG file. In this paper, we developed an app that creates and edits All-in-JPEG, a photo diary app, and a magic photo function, and verified feasibility of the All-in-JPEG through them.

A Study on the Perceived Value and Intention of Use of Mobile Shopping Apps Using Value-Based Adoption Model (VAM) (가치기반수용모델(VAM)을 활용한 모바일 쇼핑 앱의 지각된 가치와 사용의도에 관한 연구)

  • Jhee, Seon Young;Kim, Mun-Ki;Han, Sang-Lin
    • Journal of Service Research and Studies
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    • v.14 no.2
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    • pp.101-116
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    • 2024
  • As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

Development of a Portable Card Reader for the Visually Impaired using Raspberry Pi (라즈베리 파이를 적용한 시각장애인을 위한 휴대용 카드 리더기 개발)

  • Lee, Hyun-Seung;Choi, In-Moon;Lim, Soon-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.131-135
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    • 2017
  • We developed a portable card reader for the visually impaired. In South Korea, there is insufficient development of lifestyle aids for people with disabilities. Living aids for people with disabilities are being developed using information technology, smart phones, Internet of Things(IoT) devices, 3D printers, and so on. Blind people were interviewed, which showed that the card recognition function using a currently developed smart phone app was not able to recognize the screen of the smart phone by the hand of the visually impaired, and it was inconvenient to operate. In recent years, devices that enable the visually impaired to recognize cards have been studied in foreign countries and are emerging prototypes. But what is currently available is expensive and inconvenient. In addition, visually impaired people are most vulnerable to low-income families, which makes it difficult to purchase and use expensive devices. In this study, we developed a card reader that recognizes a card using a Raspberry Pi, which is an open-source hardware that can be applied to IoT. The card reader plays it by voice and vibration, and the visually impaired can use it at a low price.

Mobile App Analytics using Media Repertoire Approach (미디어 레퍼토리를 이용한 스마트폰 애플리케이션 이용 패턴 유형 분석)

  • Kwon, Sung Eun;Jang, Shu In;Hwangbo, Hyunwoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.133-154
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    • 2021
  • Today smart phone is the most common media with a vehicle called 'application'. In order to understand how media users select applications and build their repertoire, this study conducted two-step approach using big data from smart phone log for 4 weeks in November 2019, and finally classified 8 media repertoire groups. Each of the eight media repertoire groups showed differences in time spent of mobile application category compared to other groups, and also showed differences between groups in demographic distribution. In addition to the academic contribution of identifying the mobile application repertoire with large scale behavioral data, this study also has significance in proposing a two-step approach that overcomes 'outlier issue' in behavioral data by extracting prototype vectors using SOM (Sefl-Organized Map) and applying it to k-means clustering for optimization of the classification. The study is also meaningful in that it categorizes customers using e-commerce services, identifies customer structure based on behavioral data, and provides practical guides to e-commerce communities that execute appropriate services or marketing decisions for each customer group.

Implementation of Smart Shopping Cart using Object Detection Method based on Deep Learning (딥러닝 객체 탐지 기술을 사용한 스마트 쇼핑카트의 구현)

  • Oh, Jin-Seon;Chun, In-Gook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.262-269
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    • 2020
  • Recently, many attempts have been made to reduce the time required for payment in various shopping environments. In addition, for the Fourth Industrial Revolution era, artificial intelligence is advancing, and Internet of Things (IoT) devices are becoming more compact and cheaper. So, by integrating these two technologies, access to building an unmanned environment to save people time has become easier. In this paper, we propose a smart shopping cart system based on low-cost IoT equipment and deep-learning object-detection technology. The proposed smart cart system consists of a camera for real-time product detection, an ultrasonic sensor that acts as a trigger, a weight sensor to determine whether a product is put into or taken out of the shopping cart, an application for smartphones that provides a user interface for a virtual shopping cart, and a deep learning server where learned product data are stored. Communication between each module is through Transmission Control Protocol/Internet Protocol, a Hypertext Transmission Protocol network, a You Only Look Once darknet library, and an object detection system used by the server to recognize products. The user can check a list of items put into the smart cart via the smartphone app, and can automatically pay for them. The smart cart system proposed in this paper can be applied to unmanned stores with high cost-effectiveness.