• Title/Summary/Keyword: app function

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An Android App Development - 'Noonchi Coaching' Which has function of recommendation based on machine learning (기계 학습형 사용자 맞춤 추천 앱 '눈치 코칭_문화' 개발)

  • Jeon, Jae Hwan;Lee, dae young;Kang, Hyun-Kyu
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.242-247
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    • 2017
  • 본 논문은 공공 데이터 Open API와 사용자의 과거 행동과 주변 상황정보를 토대로 사용자가 선호하는 문화를 맞춤 추천하는 어플리케이션인 '눈치 코칭_문화'의 설계 및 구현에 대하여 서술한다. '눈치 코칭_문화'는 사용자가 쉽게 문화를 추천 받을 수 있도록 만들어진 어플리케이션으로 기존의 필터링 방식으로 사용자가 검색하는 방식의 어플리케이션들과 달리 사용자의 주변 상황과 사용자의 취향 분석을 통해 최적의 문화 Contents를 어플리케이션을 통해 제공한다. 사용자의 별도의 상세검색이나 검색, 좋아요 기능, 주변 위치와 같은 상황 정보를 어플리케이션 사용 로그를 저장 후 데이터 전처리를 하여 사용자에게 다시금 피드백 되는 어플리케이션이다. 지속적인 알림을 통해 사용자에게 문화를 추천하도록 만들었다. 또한, 사용자에게 문화의 날 정보와 사용자 주변 위치의 문화센터를 추천하여 사용자의 문화 활동을 지향한다.

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An Android App Development - 'NoonchiCoaching_DeepLearning' has function of recommendation based on Deep Learning (딥러닝 예측 알고리즘 기반의 맞춤형 추천 모바일 앱 '눈치코칭_여행딥러닝' 개발)

  • Lee, Jong-Min;Kwon, Young-Jun;Kim, Yeoul;Kim, KyeongSeok;Jang, Jae Jun;Kang, Hyun-Kyu
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.498-503
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    • 2018
  • 본 논문은 한국관광공사에서 제공하는 Tour API 3.0 Open API에서 제공하는 데이터를 바탕으로 한다. Google에서 제공해 주는 TensorFlow를 통해서 인공 신경망 딥러닝 알고리즘과 가중치 알고리즘을 통해서 사용자 기호에 맞춰 정보를 추천해 주는 어플리케이션 '눈치코칭_여행딥러닝'의 설계 및 구현에 대하여 서술한다. 현재 순위알고리즘은 평균적으로 40%, 딥러닝 모델은 60%정확도를 보여, 딥러닝이 보다 좋은 성능을 보였다.

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An Application for STEAM based Function Learning in Mathematics Subject of Middle Schools (중학교 수학 과목에서 스팀 기반 함수 학습을 위한 어플리케이션)

  • Kang, Eun Bi;Kim, Jihyo;Park, Chan Jung
    • Proceedings of The KACE
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    • 2018.08a
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    • pp.25-27
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    • 2018
  • 교구에 대한 적절한 조작 및 탐구 활동은 수학의 개념과 원리를 이해하는 데 도움을 준다. 본 연구에서는 중학교 수학 교과 과정에 부합하는 함수의 개념과 성질에 대한 이해를 도울 수 있는 안드로이드 기반의 앱을 개발하였다. 개발한 앱은 앱인벤터(App Inventor) 2를 기반으로 사용자가 구체적인 함수 그래프를 그리도록 요구하는 것이 아니라 대략적인 개형을 이해하도록 하여 학습 부담 경감을 도모한다. 즉, 계산 능력 배양을 목표로 하지 않는 교수학습 상황에서 스팀 기반으로 공학적 도구를 이용하여 2015 개정 수학과 교수학습방법에서 요구되는 정보처리 능력 및 문제해결 능력을 함양시킬 수 있도록 학습 도구를 개발하였다.

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A Compact Low-Power Shunt Proximity Touch Sensor and Readout for Haptic Function

  • Lee, Yong-Min;Lee, Kye-Shin;Jeong, Taikyeong
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.3
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    • pp.380-386
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    • 2016
  • This paper presents a compact and low-power on-chip touch sensor and readout circuit using shunt proximity touch sensor and its design scheme. In the proposed touch sensor readout circuit, the touch panel condition depending on the proximity of the finger is directly converted into the corresponding voltage level without additional signal conditioning procedures. Furthermore, the additional circuitry including the comparator and the flip-flop does not consume any static current, which leads to a low-power design scheme. A new prototype touch sensor readout integrated circuit was fabricated using complementally metal oxide silicon (CMOS) $0.18{\mu}m$ technology with core area of $0.032mm^2$ and total current of $125{\mu}A$. Our measurement result shows that an actual 10.4 inches capacitive type touch screen panel (TSP) can detect the finger size from 0 to 1.52 mm, sharply.

Internet of Things (IOT) provides medical disease information utilizing the app development. (사물인터넷(IOT)를 활용한 의료 질병정보 제공 앱 개발)

  • Jang, Jae-hong;Yeom, Mu-Gyun;Kim, Ki-hyuk;Jung, Deok-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.315-317
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    • 2015
  • Due to ageing society, health care has become a major concern. So information service for disease prevention is very important to us. Through this application, therefore, check their status after self-diagnosis such as doctor's diagnosis. With the result, it is an object to develop a function for provision of information to the precautionary.

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A Study on the mobile application of Fashion Brands

  • Kim, Sung-Hee
    • Journal of Fashion Business
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    • v.14 no.6
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    • pp.134-145
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    • 2010
  • The purpose of this study is 1) to investigate the contents of fashion brand applications and what differences and 2) to scrutinize the reviews of the applications uploaded on the app store in order to suggest strategies on how to apply them to fashion. For the study, twenty-nine free applications from different categories of the fashion brands and three hundred sixty-two reviews of these applications were investigated. The analysis of the study was conducted from June 20th to November 10th of 2010. The results showed that there are four important components for fashion brand applications: conventional information (product information and store information), the purchasing function, the fun element (social networking, blogging, music etc), and the augmented reality technique. These components are formulated based on the brand's marketing strategies. In order to know whether or not these components were successfully composed, user reviews were studied, which revealed that many users were satisfied, but the applications were insufficient to meet all of their needs.

Blood Glucose Measurement and Management System using a Smart Band and an App (스마트 밴드와 앱을 이용한 혈당 측정 및 관리 시스템)

  • Jeon, Yeongjun;Park, Yujin;Kang, SoonJu
    • KIISE Transactions on Computing Practices
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    • v.23 no.6
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    • pp.371-378
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    • 2017
  • In modern society, awareness of diabetes is growing with an increase in the elderly population and an increase in the incidence of diabetes. In particular, diabetic patients can suddenly develop hypoglycemic shock; therefore, it is important to measure blood glucose periodically. However, self-monitoring blood glucose meters are difficult to carry and it is difficult to manage the value. To solve these problems, the blood glucose measurement system has been developed as a sensor attached to the body or as one of the functions of smart devices, but it has not been commercialized. In this paper, we propose a smart band with a blood glucose measurement function. If a user enters a schedule to measure blood glucose level, such as before/after meals, in the app, he/she can receive a measurement alarm from the band. The user can measure the blood glucose level at any time using the band, and the measured value is transmitted and managed by the app including behavior history such as before/after meals and the time. This will help the user to manage, diagnose and prevent health problems. The system has been tested using two medical device-certified products, and each blood glucose measurement value has been confirmed to be more accurate.

Analysis the of User's Needs for Developing a Mobile Health Based Lifestyle Care Application for Health Promotion among the Elderly (장노년층 건강증진을 위한 모바일 헬스 기반 라이프스타일 케어 앱의 사용자 요구도 분석)

  • Park, Kang-Hyun;Won, Kyung-A;Park, Ji-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.9 no.3
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    • pp.23-34
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    • 2020
  • Objective : Recently, the demand for wearable mobile devices for the monitoring and improvement of one's health and quality of life is increasing. Therefore, the purpose of this study is to analyze the need of potential users in order to develop mobile health based and lifestyle care application for the elderly. Methods : Participants who lived in their community and used a mobile phone were recruited. Finally, a total of 84 participants completed the survey. Data were analyzed using descriptive statistics and a t-test, which was carried out with SPSS version 25.0. Results : The application functions that users deemed important for a lifestyle care app were the number of daily steps, physical activity, blood pressure, sleep, nutrition and participation in activity. Interestingly, there was a significant difference in the importance given to the app function of participation in activities between age groups. Conclusion : This study investigated the need and preferences of potential users of health and lifestyle care application for the promotion of health among the elderly. The, findings obtained from this study could be a valuable resource for the development of lifestyle care application.

Dynamic Evaluation Methods for SMS Phishing Blocking App Based on Detection Setup Function (감지설정기능을 적용한 스미싱 차단앱의 동적 평가방법에 관한 연구)

  • Kim, Jang Il;Kim, Myung Gwan;Kwon, Young Man;Jung, Yong Gyu
    • Journal of Service Research and Studies
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    • v.5 no.2
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    • pp.111-118
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    • 2015
  • Although the development of mobile devices are made us a free life, they were displayed the subject of this financial crime and attacking forces in the other side. Among finance-related crime is become a serious crime that are targeting smartphones by SMS phishing, phishing, pharming, voice phishing etc. In particular, SMS phishing is increased according to phenomenon using the nature of a text message in the mobile. SMS phishing is become new crime due to the burden to the smartphone user. Their crime is also the advanced way from the existing fraud, such as making the malicious apps. Especially it generates loopholes in the law by a method such as using a foreign server. For safe from SMS phishing attacks, proactive pre-diagnosis is even more important rather than post responses. It is necessary to deploy blocking programs for detecting SMS phishing attacks in advance to do this. In this paper we are investigating the process of block types and block apps that are currently deployed and presenting the evaluation of the application of the detection block setting app.

A Study on the Feature Point Extraction Methodology based on XML for Searching Hidden Vault Anti-Forensics Apps (은닉형 Vault 안티포렌식 앱 탐색을 위한 XML 기반 특징점 추출 방법론 연구)

  • Kim, Dae-gyu;Kim, Chang-soo
    • Journal of Internet Computing and Services
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    • v.23 no.2
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    • pp.61-70
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    • 2022
  • General users who use smartphone apps often use the Vault app to protect personal information such as photos and videos owned by individuals. However, there are increasing cases of criminals using the Vault app function for anti-forensic purposes to hide illegal videos. These apps are one of the apps registered on Google Play. This paper proposes a methodology for extracting feature points through XML-based keyword frequency analysis to explore Vault apps used by criminals, and text mining techniques are applied to extract feature points. In this paper, XML syntax was compared and analyzed using strings.xml files included in the app for 15 hidden Vault anti-forensics apps and non-hidden Vault apps, respectively. In hidden Vault anti-forensics apps, more hidden-related words are found at a higher frequency in the first and second rounds of terminology processing. Unlike most conventional methods of static analysis of APK files from an engineering point of view, this paper is meaningful in that it approached from a humanities and sociological point of view to find a feature of classifying anti-forensics apps. In conclusion, applying text mining techniques through XML parsing can be used as basic data for exploring hidden Vault anti-forensics apps.