• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.55-56
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• 2011

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.533-536
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• 2016

In this paper, we take advantage of the SEN Remote HMI App as a tool based on Raspberry Pi server for the smart home control. This is a smart home control system built in an open and a low-cost Raspberry Pi as a server, and take advantage of Android-based graphical programming software SEN Remote HMI. If you build it based system expansion and additional works interface via the Raspberry Pi and Arduino, it is expected to be extended to the Internet of Things (IoT) enabling environment for the implementation of smart home.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.85-90
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• 2013

Currently, the electric fire prediction system uses PIC(Peripheral Interface Controller) for controller microprocessor. PIC has a slower computing speed than DSP does, so its real-time computing ability is inadequate. So with the basic characteristics waveform during arc generation as the standard reference, the comparison to this reference is used to predict and alarm electric fire from arc. While such alarm can be detected and taken care of from a remote central server, that prediction error rate is high and remote control in mobile environment is not available. In this article, the arc detection of time domain and frequency domain and wavelet-based adaptation algorithm executing the adaptation algorithm in conversion domain were applied to develop an electric fire prediction system loaded with new real-time arc detection algorithm using DSP. Also, remote control was made available through iPhone environment-based app development which enabled remote monitoring for arc's electric signal and power quality, and its utility was verified.

• Journal of the Korea Convergence Society
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• v.10 no.12
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• pp.1-6
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• 2019

In this paper, we have developed an app that can control IPTV - Miracast and the Internet with Android 7.0 on the embedded board. The app can be controlled by the remote control of IPTV and can receive TV when using IPTV. And Miracast and Embedded board are put into the power saving mode. When one mode is selected in this way, the other two modes enter the power saving mode and the power saving control technology is applied to reduce energy consumption. The board used in this paper was Android version 7.1.2 version of Raspberry pie 3B / B + and Asus Tinker board s, and Android Studio program was used to make the app and a synchronization control program was also developed to operate with IPTV remote control. The operation of the Android start program using the power saving power control technology and the remote control synchronization control program developed in this way is confirmed to be normal operation as a result of applying to the actual IPTV.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.5
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• pp.177-182
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• 2015

Nevertheless 3D printer is propagated fast, it is difficult for us of using 3D printer at the same time because of 3D printer's slow velocity. Existing solution is to print using SD card which moves files and on PC but this method is spend too much time and can not be showed status of printing. Yet we have no 3D printer software solution which is controlled and printed remotely. Therefore, this 3D printer software solution makes 3D printer be connected on internet networks and selected to use it on smart App. And it is controlled and printed remotely. In my paper, to build an Android App. which can execute these functions, an effective analysis & design using UML and implementation method will be presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.111-114
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• 2019

This paper intends to implement a software that controls TurtleBot 2 remotely. The moving of the robot TurtleBot 2 can be controlled using command control based on Windows 10 IoT core instead of the Robot Operating System (ROS). The implemented software allows the user to move remotely TurtleBot 2 in any specified direction and perform the monitoring such as reading feedback data from the robot. Through TCP/IP and serial communication technology, TurtleBot 2 can successfully receive command control and send feedback to the user. Using C# programming language, two Universal Windows Platform apps (client app and server app) have been implemented to allow communication between the user and TurtleBot 2. The result of this implementation has been verified and tested in an indoor platform.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.701-706
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• 2017

In this study, existing remote control or the cradle manually drives to recognize the voice of the way and through the app the Cradle to work with a motor. In addition, the temperature and humidity sensor was mounted in the cradle, the temperature and humidity of the cradle can be checked through the LCD. Depending on the sound size of the sound sensor, the resulting value was used to indicate a value of a, b, c, and the sum of the results over 1150, the cradle was recognized as the baby's crying, then, notificate and alarm on app.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1301-1306
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• 2015

This paper is to automate the intelligent and equipment to recycle the volatile organic compounds in various a gas stations and a laundry, in real life. In addition, based the ZigBee module and TCP/IP communications on ICT technologies, it's propose an integrated management system to monitor and manage an liquid at a remote location.Furthermore, it's propose a service model that can be freely managed from a remote location based on the app on android. In this paper, we present a communication protocol of the bridge modules and a liquefier of intelligent control system based ZigBee and MCU(Micro Controller Unit). Through the development of smart app based android mobile services in an integrated management system, it's represent for liquefier to a DB server for remote management(MS SQL 2012) and a web server (OS: Windows 2008).

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.227-228
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• 2019

본 프로젝트는 얼굴인식을 사용해서 인증하는 얼굴인증프로그램과 원격제어가 가능한 App이다. 프로젝트의 핵심 기능 및 환경은 얼굴인식과 시리얼통신, Json통신 등이 있으며, usb 카메라와 Linux 환경이 필요하다. 현재 여러 종류의 도어락이 있지만 취약한 점들이 많다. 취약점을 보완하여 더 좋은 도어락을 만들기 위해 생체인식 기술을과 2중 보완을 위해 App을 활용했다.