• International journal of advanced smart convergence
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• v.7 no.2
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• pp.112-118
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• 2018

This paper describes the design and implementation of a vehicle internal alarm system using raspberry-pie and gas sensor. It provides a notification system for sleepiness during driving, a driving time notification system and a smoking detection system. We coded using 'Python'. And we use 'MySQL' and 'PHP' to build the necessary servers and web pages for gathering sensing data and monitoring. The developed system was tested by several methods. All experiments showed satisfactory response signals and detected with immediate responses.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.170-171
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• 2017

오늘날 바쁜 일상에 따라 화분관리의 어려움을 많이 느꼈다. 따라서 Raspberry, Arduino를 이용한 사용자 지향적인 화분관리시스템을 목표로 두고 개발 하여 체계화, 단순화, 간편화하였다. 본 논문은 현재 가장 많이 사용하는 습도 센서(Gravity: Analog Soil Moisture Sensor For Arduino)와 워터펌프(Peristaltic Liquid Pump with Silicone Tubing) 중심으로 개발하였다. 또한 편의성과 휴대성, 접근성에 수익성까지를 고려하여 앱을 구현, 이용함으로써 사용자에게 화분 관리에 대한 정보 관리를 용이하도록 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.5-6
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• 2018

Edge Computing의 성능 분석을 위해 SDN 테스트 베드를 구축하는 방안을 제안한다. Edge Computing 환경에서 연구한 알고리즘들을 실증적 성능 테스트하기 위해 테스트베드를 구축하였다. Raspberry-Pi를 이용해 SDN Switch를 구현하였고, Edge단의 노드는 테스트를 위해 노트북을 연결해 인터넷이 되는지 확인하였다. Edge Computing 환경은 수 많은 노드를 연결해 테스트해야 하며 따라서 SDN 환경이 적절하다. 본 논문에서는 SDN에 대해서 알아보고 Raspberry-Pi를 이용한 테스트 베드 구축 방안에 대해 소개하고자 한다.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.120-123
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• 2015

The use of smart devices worldwide has been increasing day by day and its applications based on IoT have been also extended. But the power control system requires complicated control and processing information from the various sensors in practice. One of the best ways to save the power consumption is to manage electrical equipment individually on the Internet. In this paper, remote power control system for managing the power through the relay switch module via Python server was implemented by using Raspberry Pi. The proposed power control system can be used anywhere over the Internet.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.277-283
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• 2021

The objective of this project is to conduct an underwater survey. The primary goal is to develop a device that can achieve the desired output under test conditions. For this reason, certain practical considerations must be taken into account, and the implementation is then developed to be carried out to obtain stable performance with the available hardware based on that experiment. The experiment was performed via BlueROV2 (Remotely Operated Vehicle) using RaspberryPi and softwares such as QGC (QGroundControl) and ArduPilot. This paper explains the work, the results with the collected data and how we implemented the work is presented in the end. The intention of this experiment is to connect two PCs using RaspberryPi with MAVLink communication using a Commercial-Off-The-Shelf device.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.637-639
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• 2021

As autonomous driving research is actively progressing, lane detection is an essential technology in ADAS (Advanced Driver Assistance System) to locate a vehicle and maintain a route. Lane detection is detected using an image processing algorithm such as Hough transform and RANSAC (Random Sample Consensus). This paper implements a linear shape detection algorithm using OpenCV on Raspberry Pi 3 B+. Thresholds were set through OpenCV Gaussian blur structure and Canny edge detection, and lane recognition was successful through linear detection algorithm.

• Korean Journal of Food Science and Technology
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• v.45 no.4
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• pp.451-459
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• 2013

Korean black raspberry fruits (bokbunja) were collected from 11 different producing regions, and commercial black raspberry wines were obtained from 24 manufacturers. Samples were analyzed for soluble solids, titratable acidity, pH, reducing sugar content, hunter color values, intensity, hue, total phenolic content, and organic acids. The fruit samples showed similar pH levels (3.43-3.52), but significantly differed in total acidity levels (9.98-16.2 g/L). The predominant organic acids in the fruit samples were citric acids (1.39-5.63 mg/mL) and succinic acids (0.25-6.53 mg/mL). Among the samples, black raspberry fruits from Goksung and Nonsan showed the lowest levels of total phenolic content, and the lowest values in intensity. The fruits from Jeongeup and Sunchang showed higher levels of phenolic content, soluble solids, and intensity. Some wine samples, including BH, KO, SR, and SE, showed overall high levels of phenolic content, organic acids like citric and succinic acid, and color values such as $a^*$, $b^*$, and intensity. Other wine samples, including DW, SC, GJ, and NB, were high in acetic acid, color values like $L^*$, and hue.

• Korean Journal of Soil Science and Fertilizer
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• v.44 no.4
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• pp.591-596
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• 2011

The applications of chemical fertilizers and various types of organic materials may cause heavy metal accumulation in soil. In this study, we conducted to investigate the relationship between the different chemical forms of heavy metals such as Cr, Cd, Pb, Cu, Ni, and Zn retained in soil and the metal concentrations in Korean raspberry plant. Forty five soil samples were collected from 2 to 6 years old Korean raspberry cultivation fields (RCFs), Gochang, Korea, to determine total, exchangeable (1.0 M $MgCl_2$-extractable), DTPA-extractable metal contents. The leaves and fruits of raspberry plant were sampled at harvest stage. Total metal contents in soils ranged from $0.87mg\;kg^{-1}$ to $66.82mg\;kg^{-1}$. Exchangeable and DTPA-extractable metals ranged between 0.02 and $0.67mg\;kg^{-1}$ and between $0.05mg\;kg^{-1}$ and $7.07mg\;kg^{-1}$, respectively. The metal concentrations in the plant leaf and fruit determined on a dry-basis were between $1.30mg\;kg^{-1}$ and $38.82mg\;kg^{-1}$ and between $0.05mg\;kg^{-1}$ and $21.51mg\;kg^{-1}$, respectively, but Cd and Pb were not detected in the leaf. The total, exchangeable, and DTPA-extractable contents of the metal ions in soil were directly correlated one another, but the contents of different metals in the different fractions were inversely correlated in general. Most of total and DTPA-extractable metals in the soil were directly correlated with the contents of the same metals in the plant, whereas exchangeable metals in the soil were not statistically correlated with the same metals in plants. Thus, we concluded that the metal contents in the raspberry field soils were much lower thanthe levels of Soil Contamination Warning Standard (SCWS), and the plant metal concentrations were also less than the maximum permissible limits. The total and DTPA-extractable metals in the soil were closely related to the metal concentrations in the plant.

• The Korean Journal of Food And Nutrition
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• v.28 no.2
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• pp.328-334
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• 2015

This study was performed to evaluate and compare the antioxidant and antimicrobial activities of various berry juices (cherry, grape, blueberry, aronia, cranberry, and raspberry). The cherry, aronia, and cranberry juices included higher levels of total polyphenol than the other berry juices. The DPPH radical scavenging activity of various berry juices increased according to the juices concentration. The scavenging activity of DPPH radicals by the aronia, cranberry, and raspberry juices was higher than those of other samples and was in the following order: aronia > cranberry > raspberry. The FRAP values of 100% aronia juice was the highest among the samples, which was more than five times higher than grape juice at a concentration of 25%. The cranberry and raspberry juices exhibited a strong inhibitory effect against important food-borne bacteria, and in general, the berry juices inhibited the growth of Gram-negative bacteria more than that of Gram-positive bacteria. The cranberry and raspberry juices exhibited high antimicrobial activities against important food-borne bacteria at a concentration of 100% and 75%, however, they did not affect food-borne bacteria at a concentration below 10%. These results suggest that aronia, cranberry, and raspberry may be used effectively as natural additives and as functional foods due to their high antioxidant and antimicrobial activities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.745-752
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• 2016

In the era of the Internet of Things, where all physical objects are connected to the Internet, we suggest a remote control system using a Raspberry Pi single-board computer with ZigBee, which can turn an indoor light-emitting diode (LED) and a multiple-tap on and off, and with a smart phone can control the brightness of the LED as well as an electronic door lock. By connecting an infrared (IR) transmitter module to the Raspberry Pi, we can control home appliances, such as an air conditioner, and we can also monitor indoor images, indoor temperatures, and illumination by using a smart phone app. We developed a method of finding out IR transmission codes required for remote-controllable appliances with an AVR micro-controller. We suggest a method to remotely open and shut an office door by novating the door lock. The brightness level of an LED (between 0 and 10) can be controlled through a PWM signal generated by an ATmega88 microcontroller. A mutiple-tap is controlled using an ATmega32, a photo-coupler, and a TRIAC. The signals for measured temperature and illumination are converted from analog to digital by using the ATtiny44A microcontroller transmitting to a Raspberry Pi through SPI communication. Then, we connect a camera to the CSI head of the Raspberry Pi. We can turn on the smart multiple-tap for a certain period of time, or we can schedule the multi-tap to turn on at a specific time. To reduce standby power, people usually pull out a power code from multiple-taps or turn off a switch. Our method helps people do the same thing with a smart phone, if they are away from home.