• Smart Media Journal
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• v.5 no.3
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• pp.93-98
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• 2016

The literal meaning of loitering is "to lingering aimlessly or as if aimless in or about a place". And most criminals show this kind of act before they actually commit crime. Therefore, detecting this kind of loitering can effectively prevent a variety of crime. In this paper, we propose a loitering-detection algorithm using the Raspberry Pi. Proposed algorithm uses an adaptive difference image to detect moving objects and morphology opening operation to enhance the accuracy of detection. The loitering- behavior is being detected by using the center of gravity of the object to see the changes of angle; and pixel movement distance to determine the height of the object. When the loitering-behavior is detected, it outputs the alarm to tell the users by using the Raspberry Pi.

• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1471-1478
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• 2016

In this study, the system to manage the power automatically was implemented by using Arduino, Raspberry pi, and Beacon technologies. Before the research, pre-research was carried out with the analysis on the existing power management systems in the market in order to find a solution to reduce burdens from standby power and power waste with the increase of electric charges. The system is designed to be able to deliver and receive data through IEEE 802.15.4 wireless protocol, by using Xbee module. Arduino was tested to verify whether it is able to control SSR(Solid State Relay), and it was found that there is no problem. Meanwhile, it was also tested whether it is possible to organize a star topology network through Arduino and Raspberry Pi, and it was confirmed that normal wireless communication is possible through IEEE 802.15.4 wireless protocol. It is designed that the signal from Android smartphone application is to be delivered to Raspberry Pi and then, to be delivered to Arduino through Xbee so that Arduino could control SSR. In addition to this, wireless protocol required to control Arduino with Raspberry Pi is also designed and applied to this research.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.129-131
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• 2019

본 논문에서는 다양한 아두이노 무선센서 모듈과 Raspberry Pi, 웹서버를 이용한 IOT 기반 환경정보 수집 시스템을 구현하고, 상품추천시스템을 제안한다. 이 시스템은 사용자가 주변 환경의 데이터를 정확하게 확인하고 활용할 수 있도록 한다. 상품추천 시스템에서는 상점 외부에 부착된 다양한 무선센서 모듈들을 이용해 상점 주변의 환경데이터를 수집하고, 무선통신을 통해 Raspberry Pi로 데이터를 전송한다. 전송된 데이터는 Server로 보내져 Server DB에 저장되고 Server에서 센서값들의 평균값을 계산해 Raspberry Pi로 다시 보내주면 Raspberry Pi에 연결된 모니터를 통해 실시간으로 주변의 데이터와 주변 상황에 맞는 경고 메시지를 보여주고, 이후 필요한 물건을 추천해준다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.205-207
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• 2021

The way to develop an IoT device is to mount the sensor required by the application on a platform such as Arduino or Raspberry Pi, and write the sensor driver and application. At this time, if the driving driver for the sensor has already been written and the application can access the driver as a standardized API, then Plug&Play of the sensor will be possible. The old way to do this is because the sensor interface is too complicated to use on the current platform. In this paper, when a standardized sensor and driver with a USB terminal are plugged into the Raspberry Pi, we propose a method for automatically installing the driver. Application developers can get sensor values through Linux's file access API without worrying about sensor drivers. The proposed technique is currently being implemented on Raspberry-Pi.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.537-539
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• 2016

Recently, unmanned technologies interest increased. An unmanned boat is not directly on people and radio can be controlled by boat. Used for military unmanned boat was first developed in the United States Navy. In recent years, for hobby, for pesticide application, for water activities, expanding exploration in various ways, including for use. The role of a variety of unmanned boat above, In the case of a variety of unmanned probe of the role of unmanned boat on the boat people who don't be able to come to the vision of the advantage can not be exploring places like blind spot. In this paper, The Blind Spot are explorations of places such as streaming real-time as possible, an unmanned boat using Raspberry Pi that support implementation. Receiver input signals of an unmanned boat to the transmitter under the manipulation of, using smartphones hotspot feature Raspberry Pi and smartphones, network connection. Via Raspberry Pi motion of using real-time streaming using unmanned boat.

• Journal of Environmental Science International
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• v.25 no.10
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• pp.1389-1396
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• 2016

A monitoring system for a field magnetometer was configured with assistance of a Raspberry Pi as a data logger. The suggested geomagnetic system uses a semi-real-time data transmission module. The system consists of two parts: a field-observation part and a data-center part. The field-observation part comprises a Raspberry Pi, magnetometer, LTE router, and power source, while the data center part takes samples at the site. The collected magnetometer data are then sent to the data center through the LTE router. The newly designed monitoring system was deployed and checked in Jeju-do island, and found to operate stably. The suggested system is promising in that it is simple and cost saving, providing at least physical insight and knowledge on the complex natural phenomena.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.70-75
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• 2017

Recent development of IT industry including smart phones and communication technologies has resulted in rapid growth of Internet of Things (IoT) technology and relevant markets. The access to IoT is becoming easier thanks to the boards and IoT products, such as Arduino and Raspberry Pi. Large-scale business sites use IoT technology to manage inventories, but small-scale business sites do not. In the present study, We ported Linux-based Raspbian to Raspberry Pi, It utilizes web server communication to control the Arduino through the application We used a color sensor to figure out the kind of inventory. We also built a database using MySQL to store the data. We used raspberry pi to check whether the proposed system works and apply it to small-scale business.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.376-383
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• 2016

In this paper, the blue-green algae monitoring program of applying IoT(Internet of things) technologies is designed and implemented that can check out the status of the river's water quality in real time. The proposed system is to extract the image data from the camera of raspberry pi by an wireless network, and it is analyzed through the HSV color model. We measure the temperature using a DS18B20 1-wire temperature sensor. The extracted information of image data and temperature is then analyzed in C and Python programs for use with Raspberry Pi. The XML data in PHP program is made from the analyzed information and provides Web services. It also allows to refer the XML data using mobile devices.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.228-230
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• 2019

일상생활에서 빈번히 사용되는 주변 생활 제품은 기술의 급속한 발전과 더불어 지능화 정도가 가속화 되고 있는 추세에 있다. 일반적으로 LED 조명이나 실내 에어컨을 자동으로 조정하거나 자동청소로봇 등은 이미 일반화된 제품들이다. 그럼에도 불구하고 우리 생활에서 가장 필요한 용품인 거울에 대한 지능적인 제품은 비교적 고가이어서 소비자가 쉽게 접근하기 어려운 생활용품이 되고 있어서 지능화 제품의 보급이 더딘편이다. 따라서 본 논문에서는 Raspberry Pi 3B+ 를 기반으로 하여 음성제어가 가능한 스마트 미러를 설계하고 구현하였다. 이를 위하여 저렴한 raspberry pi의 WiFi를 통해 네트워크에 연결하도록 하여 미러가 시간, 날씨 및 뉴스 정보 기능을 자동으로 업데이트 할 수 있도록 하였고 기상 조건, 사전 시간 또는 음악 재생과 같은 음성 제어가 가능하기 위하도록 Google Asistant 음성 인터페이스를 적용하였다. 본 논문에서 제안한 제품이 실용화될 경우 저가이면서 고기능 사양을 제공하고 있어서 스마트 미러 보급에 많은 기여가 예산된다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.1-7
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• 2019

In this paper, we implemented a Wi-Fi based cluster system using raspberry pi for multidisciplinary education. The cluster implementation on the desktop was more difficult to maintain the complexity, big size, high price, power consumption as the number of nodes increased. In this paper, we implemented a cluster using Raspberry Pi, which is developed for educational purposes, to reduce the cost of connecting nodes. In addition, the complexity of system construction is reduced by replacing the connection between each node with Wi-Fi. Also, the inconvenience of configuration due to node increase was reduced. It is expected that the implementation of the cluster will be a good alternative in the educational environment where distributed processing and parallel processing are performed in the embedded environment. Also, it is confirmed that it can be applied to the multidisciplinary education.