• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.748-750
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• 2017

With the development of intelligent technologies, the Internet of Things(IoT) has been applied to various applications. A platform technology including a sensor-server-DB for easily managing data at a remote site is required. In this paper, we implemented a servo motor control system that moves by the smart phone tilt value using NodeJS and MongoDB. The system consists of Rasberry Pi, servo motor and smart phone and the servo motor sensor data is transmitted to NodeJS so that data can be stored in database.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.689-698
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• 2021

In this paper, lane recognition, steering control and speed control algorithms were developed using Bluetooth wireless communication and image processing techniques. Instead of recognizing road traffic signals based on image processing techniques, a methodology for recognizing the permissible road speed by receiving speed codes from electronic traffic signals using Bluetooth wireless communication was developed. In addition, a steering control algorithm based on PWM control that tracks the lanes using the Canny algorithm and Hough transform was developed. A vehicle prototype and a driving test track were developed to prove the accuracy of the developed algorithm. Raspberry Pi and Arduino were applied as main control devices for steering control and speed control, respectively. Also, Python and OpenCV were used as implementation languages. The effectiveness of the proposed methodology was confirmed by demonstrating effectiveness in the lane tracking and driving control evaluation experiments using a vehicle prototypes and a test track.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1019-1024
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• 2019

In this paper, we plan to design and manufacture a new sleeping child check system using image and PIR sensors. Therefore, it plans to implement a system that can prevent in-vehicle accidents that can occur due to presence of human and certain temperature inside the vehicle by collecting data from PIR sensors and temperature sensors with the main control device based on Arduino. In addition, the values of sensors can be linked with Bluetooth communication or Wi-Fi communication to send information to the mobile phone, and the sensor values can be printed by texting on the screen. It also plans to use raspberry pie and camera modules to build a display and smartphone streaming service inside the vehicle. Through this, the objective of this study is to prevent safety accidents in school vehicles by making experiments and research in this paper recognize 100% inside the vehicle with the quantitative goal of PIR sensors.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.93-100
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• 2020

In this paper, we implemented a smart mirror that helps users to measure the results before the procedure by reflecting various hairstyles on the head. When the camera is used to capture a face in real time and recognize the face, the stored hair image is uploaded to provide a virtual image. In addition, the high production cost, which is a problem of the existing smart mirrors, was reduced by using Raspberry Pi, Open CV, and half mirror film, and various functions were implemented through touch control. It is also designed to provide information such as weather, calendar and time.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1271-1278
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• 2021

In this paper, we implemented smart mirrors that virtually select and experience eyeglasses and hair styles on user faces through face recognition and recommend weather-specific clothes to guide various styles. In addition, makeup is possible while watching the video while looking at the screen. Raspberry Pi, acrylic plate and half mirror film were used to reduce the cost of conventional smart mirrors. It also added basic information such as weather, dates, calendars, and news, and increased user convenience by using a touchscreen.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.304-307
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• 2020

자동차 애프터 마켓 시장은 관련 기술의 진전과 함께 비약적인 발전을 거듭하여 여러 자동차 애프터 마켓 상품이 개발됨과 동시에 가파른 성장세를 보이고 있다. 다양한 기술과 차량의 점검과 관리를 위해 차량운전자와 정비사가 동시동소에 있어야 하는 제약을 해결하기 위해 본 논문에서는 IoT를 이용한 차량정보 전송 및 활용 기술을 소개하고자 한다. 본 기술은 S/W로 CAN통신, WEB 서버, DB, MQTT, WIFI 등의 기술을 사용하였고, H/W로 ESP 32, Rasberry Pi 4를 사용하고 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.101-108
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• 2021

This paper builds a real-time home security system based on the OneNet cloud platform to control the status of the house through a smartphone. The system consists of a local part and a cloud part. The local part has I/O devices, router and Raspberry Pi (RPi) that collects and monitors sensor data and sends the data to the cloud, and the Flask web server is implemented on a Rasberry Pi. When a user is at home, the user can access the Flask web server to obtain the data directly. The cloud part is OneNet in China Mobile, which provides remote access service. The hybrid App is designed to provide the interaction between users and the home security system in the smartphone, and the EDP and RTSP protocol is implemented to transmit data and video stream. Experimental results show that users can receive sensor data and warning text message through the smartphone and monitor, and control home status through OneNet cloud.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.497-498
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• 2021

현대사회의 산업 현장에서 기계가 사람들을 대체하면서 작업의 효율을 높이고 있다. 많은 산업 분야에서 사람들을 기계로 대체하고 있는데, 재해 및 사고 현장이나 위험 지역 조사 등에 대한 탐사 활동은 대부분 인력이 차지하고 있으며, 탐사 활동에 참여하는 많은 인력들은 2차, 3차 사고에 쉽게 노출되어 있으며, 그로 인한 인력소모가 심하다. 따라서 우리는 인력 투입 전 사고 및 재난 현장이나 위험 지역에 인력을 투입하기 전 피해를 최소화 하면서 탐사 인력에 대한 안전이 보장된 근무 환경을 개선 시키기 위해서 무인 탐사차량을 생각하게 되었다. 무인 탐사 차량에는 아두이노와 라즈베리파이를 메인으로 삼았고, 현장의 온도와 습도, 화재여부, 가스여부를 측정하기 위한 센서들은 아두이노에 연결하고, 카메라와 라이다센서의 경우 라즈베리파이에 연결을 하였다. 그리고 모든 데이터값은 블루투스와 와이파이 모듈을 통해서 수신받을 수 있게 프로그램을 구성하였다.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.10
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• pp.331-338
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• 2016

In this paper, we propose a system for transmitting army hand signals using motion sensors. The proposed system consists of a squad commander device, squad member devices, and a server. The squad command device and squad member device have been implemented using a micro arduino, an accelerometer sensor, and a gyroscope sensor, and the server has been implemented using a Rasberry Pi 3. Because the devices are made in the form of band, they are lightweight and portable. The proposed system can transmit the hand signals through vibration in conditions of poor visibility. We have designed and implemented the squad member device to be able to recognize four military hand signals. Through experiments, the proposed system have shown 88.82% of correct recognition. In conclusion, we expect to increase effectiveness of army operations and survival rate of soldiers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.664-671
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• 2020

A Smart Building, one that uses automated processes to control its operations, refers in this study to one that uses both Internet of Things (IoT) devices and cloud services software. Cloud service providers (e.g. Amazon, Google, and Microsoft) have recently providedIoT cloud platform application services on IoT devices. According to Postscapes, there are now 152 IoT cloud platforms. Choosing one for a smart building is challenging. We selected Microsoft Azure IoT Hub and Amazon's AWS (Amazon Web Services) IoT. The two platforms were evaluated and selected from a smart building perspective. Each prototype was evaluated on two different IoTplatforms, assuming a typical smart building scenario. The selection was based on information and experience gained from developing the prototype system using the IoT cloud platform. The assessment made in this evaluation may be used to select an IoTcloud platform for smart buildings in the future.