• Title/Summary/Keyword: Smart phone APP

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Implementation of Mobile Multi-sensor System for Measuring an Environment (환경 측정을 위한 모바일 다기능 센서의 구현)

  • Ju, Ji-Dong;Kim, Jin-Seoung;Kang, Bong-Gu;Shim, Jeachang
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.1020-1024
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    • 2014
  • The environment information such as dust, temperature, humidity, illumination and gas are very important in daily life. We implemented multi-sensor system which made for measuring an environment by using Arduino, ZigBee, and Appinventor. We also designed a packet for transmitting environment data. The data are sent to the server via ZigBee and then it communicates to a smart phone via WI-Fi. In this study, we added divers sensors, designed a protocol which made for transfer several kinds of data and improve mobility for real time monitoring by using smart phones. The system was worked well and the data was transmitted correctly to the smart phone.

IoT Platform and Control App Design for Wireless Data Transmission (무선 데이터 전송을 위한 IoT 플랫폼과 제어 앱 설계)

  • Roh, Jae-sung;Cho, Young-joon
    • Journal of Advanced Navigation Technology
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    • v.21 no.1
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    • pp.72-77
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    • 2017
  • In recent years, internet of things (IoT) technology has developed rapidly and has been applied in many fields. IoT devices collect and analyze information in various environments and provide useful information to users. Due to the recent increase in IoT devices, many open source platforms based on hardware and software that are cheap and easy to use have been developed and provided. In this paper, we have studied the IoT system based on Arduino which can communicate Bluetooth wireless data with smart phone in real time. And we have developed a wireless system control app based on App Invertor 2 for communication with Android smart phone. Also, we propose an IoT system based on Arduino which can control the devices and implement the function of connectivity between devices.

Detecting the screw-assembly state of a valve-body using the AR method (AR 방식을 이용한 밸브바디의 나사 조립 상태 검지)

  • Kang, Moon-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.24-30
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    • 2021
  • In this study, an augmented reality (AR) app that detects the screw-assembly state of a car valve-body and assists the assembly work is developed and the effectiveness of the app is shown through testing. The app creates the contents indicating the screw-assembly position and order, and the screw-assembly state. Then, the contents are registrated onto the valve-body image on a smart-phone screen to be shown to the worker during assembly. To this end, the features are extracted from the 2D image of the valve-body and the location of the valve-body is tracked. By extracting the areas where the screws are to be assembled, and periodically determining the luminance of these areas, it is checked whether the screws are assembled in order at the predetermined position of the valve-body. When an error is detected during assembly, a warning sound is notified to the worker, and the worker can check the assembly state on the smart-phone screen and handle the error, immediately. Study results found that it takes about 65 ms to detect the assembly state of the five screws, and the assembly state is detected without error for 1 hour.

Study of sound for Smart phone games (스마트폰 게임의 사운드에 관한 연구)

  • Lee, Myung-Hwan;Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.405-408
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    • 2012
  • Recently, Smartphone takes center stage as the next generation game platform, so there's fierce competition between various companies which enter the mobile market. According to Smartphone market is wide, Smart phone App game sound is more widely. This study attempts to analyse the role of sound effects and BGM(background music) during game play or game development, and make a comparison between game play with and without Sound effects, so that to suggest the direction of development of the App game sound for Smartphone and to remind the importance of sound effects and emphasize the necessity of development of the professional game sound.

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Design and Implementation of a Low-Code/No-Code System

  • Hyun, Chang Young
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.188-193
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    • 2019
  • This paper is about environment-based low-code and no-code execution platform and execution method that combines hybrid and native apps. In detail, this paper describes the Low-Code/No-Code execution structure that combines the advantages of hybrid and native apps. It supports the iPhone and Android phones simultaneously, supports various templates, and avoids developer-oriented development methods based on the production process of coding-free apps and the produced apps play the role of Java virtual machine (VM). The Low-Code /No-Code (LCNC) development platform is a visual integrated development environment that allows non-technical developers to drag and drop application components to develop mobile or web applications. It provides the functions to manage dependencies that are packaged into small modules such as widgets and dynamically loads when needed, to apply model-view-controller (MVC) pattern, and to handle document object model (DOM). In the Low-Code/No-Code system, the widget calls the AppOS API provided by the UCMS platform to deliver the necessary requests to AppOS. The AppOS API provides authentication/authorization, online to offline (O2O), commerce, messaging, social publishing, and vision. It includes providing the functionality of vision.

The mobile data processing system for noise measured in a living environment (생활 환경의 소음 측정을 위한 모바일 데이터 처리 시스템)

  • Choo, Min-ji;Seo, Jung-hee;Park, Hung-bog
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.8
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    • pp.1943-1950
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    • 2015
  • Korean representative residence type is apartment house. Due to this, civil complaint related to living noise is rapidly increasing. Here, in case when they suffer from surrounding noise in daily life, they can raise civil complaint. However, in general home, it is difficult to measure noise utilizing expert equipment, in many cases they use smart phone app. Noise measurement app that was previously released has markedly low correctness, e.g. value is differently measured in the same condition, therefore, it is difficult to be used for the actual noise measurement. Therefore, this paper suggests mobile data process system for noise measurement of living environment utilizing smart phone. The expected effect of this research can be utilized as the civil complaint material by conveniently measuring the noise and presuming the direction that the noise appeared at the home that has no equipment.

Additional location data transmission and Remote-controller App. Development using Smart Phone (스마트폰 기반 부가 위치 데이터 전송 및 Mobile 리모컨 App. 개발에 관한 연구)

  • Lee, JungHoon
    • Journal of Satellite, Information and Communications
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    • v.8 no.2
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    • pp.12-16
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    • 2013
  • In this paper, we proceeded a study about the mobile software applications using smartphone technology. Firstly, we proposed a communication which a position data transmission technique using LED flashlight with built-in smartphone and we develop the application to perform a remote controller for beam-forming communication based on visible light associated with the position of Smartphone user. OOK modulation was applied for transmitting location data via LED backlight flash of smartphone and PD is used for detecting receiving light. In case of remote controller application which was controlled by WiFi IP-networking and it controls LED direction for beam-forming communication. These suggestion can be a good example for ubiquitous position recognition system using smart phone and software.

Learning Assistant System Using Geofencing Technology (지오펜싱 기술을 이용한 학습 지원 시스템에 관한 연구)

  • Park, Hee-Sook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.631-636
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    • 2019
  • In recently, various kinds of services utilizing the location information of the user's smart phone have appeared. Based on this trend, we designed a new type of learning assistant system that utilizes geofencing technology, which is a field of location information technology. This system identifies the location of the classroom using the location information of learner's the smart phone and automatically provides the necessary learning contents to the learner's smart phone when the learner enters the classroom set as the virtual fence area while carrying the smart phone respectively. Our system provides learning contents in a form similar to the form of a message or a mobile coupon and learners are used to such mobile service environments very much. So the use of learning contents provided by our system is expected to help improve the learning effect of learners.

Smart Business Applications Design Method for Saving Operating Costs (운영비용을 절감하는 기업용 스마트 어플리케이션 설계 방안)

  • Koh, Chul-Ho;Lee, Oukseh
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.315-316
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    • 2013
  • 근 스마트폰 보급률이 높아짐에 따라 스마트폰을 활용한 다양한 어플리케이션들이 있다. 이러한 스마트폰 어플리케이션을 클라우드 컴퓨팅 활용하여 구현할 경우, 클라우드에서 서버를 임대하여 사용한 만큼 비용을 지불할 수 있다. 따라서 서버 과부화에 대한 서비스 가용성을 보장할 수 있으며 네트워크 및 자원 사용량을 모니터링할 수 있다. 또한, 사용한 만큼 지불하는 방식이기 때문에 운영비용에 대한 부담이 줄어들 수 있다.

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Remote Multi-control Smart Farm with Deep Learning Growth Diagnosis Function

  • Kim, Mi-jin;Kim, Ji-ho;Lee, Dong-hyeon;Han, Jung-hoon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.49-57
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    • 2022
  • Currently, the problem of food shortage is emerging in our society due to climate problems and an increase population in the world. As a solution to this problem, we propose a multi-remote control smart farm that combines artificial intelligence (AI) and information and communication technology (ICT) technologies. The proposed smart farm integrates ICT technology to remotely control and manage crops without restrictions in space and time, and to multi-control the growing environment of crops. In addition, using Arduino and deep-learning technology, a smart farm capable of multiple control through a smart-phone application (APP) was proposed, and Ai technology with various data securing and diagnosis functions while observing crop growth in real-time was included. Various sensors in the smart farm are controlled by using the Arduino, and the data values of the sensors are stored in the built database, so that the user can check the stored data with the APP. For multiple control for multiple crops, each LED, COOLING FAN, and WATER PUMP for two or more growing environments were applied so that the user could control it conveniently. And by implementing an APP that diagnoses the growth stage through the Tensor-Flow framework using deep-learning technology, we developed an application that helps users to easily diagnose the growth status of the current crop.