• Korean journal of food and cookery science
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• v.30 no.6
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• pp.792-799
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• 2014

This study was conducted to determine the optimal conditions of acetic acid fermentation of aronia using the response surface methodology (RSM). Alcohol content of aronia wine was 13.1% after alcohol fermentation of aronia fruits. The optimal conditions of acetic acid fermentation were determined by five levels of initial aronia alcohol content, initial acetic acid content, and acetic acid bacteria, using the central composite design. The acetic acid yields, residual alcohol contents, pH, and color values (L, a, b) of acetic acid fermentation products were very significantly different ($p{\leq}0.01$), and were 26.34~57.82 g/L, 0.80~1.53%, 3.19~3.43, 47.58~71.00, 31.77~51.15, and 18.45~48.57, respectively. For the results, the optimal conditions of acetic acid fermentation of aronia were 7.78% of the initial alcohol concentration, 1.58% of the initial acetic acid, and 19.39% of the acetic acid bacteria.

• 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.

• International Journal of Industrial Entomology and Biomaterials
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• v.44 no.2
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• pp.44-54
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• 2022

The food source of white-spotted flower chafer, Protaetia brevitarsis is important to economical performance. The P. brevitarsis larva were feed by mulberry and oak fermented sawdust. The effect of additional additives, Korean black raspberry (called bokbunja) marc and blueberry marc to fermented sawdust feed on the development and oviposition characteristics were investigated. The development periods of P. brevitarsis was decreased from 165.7 d to 40.0 d (mulberry sawdust) and 169.3 d to 39.0 d (oak sawdust), but the survival rate of larva was not affected by the addition of Korean black raspberry marc to fermented sawdust. However, blueberry marc addition to the fermented sawdust did not significant effect on the development period and survival rate of P. brevitarsis. The percentage of larva weight over 2.5 g was tend to increase by addition of Korean black raspberry marc and/or blueberry marc. The number of oviposition was also tend to increase by adding additional feed to sawdust but there was no significant different.

• 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.

• Horticultural Science & Technology
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• v.32 no.1
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• pp.115-122
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• 2014

In order to select the raspberry cultivars that have high contents of bioactive constituents and high antioxidant activities, 7 cultivated and 2 wild raspberries which were selected and cultivated in the Bokbunja Institute were evaluated for their physicochemical characteristics, bioactive constituents, and antioxidant activities. The wild raspberry of Asan was the smallest among the sample raspberries but it had the highest sugar and lowest acid contents among the raspberries. Another wild raspberry of Ulleungdo had the highest total phenolic compound and ellagic acid contents, 182.97, $55.25mg{\cdot}100g^{-1}FW$, respectively, although it was small and had low sugar and high acid contents. Among the widely cultivated raspberry cultivars in Kimhae, 'Wangttal' cultivar was a big raspberry with 12.80% sugar content, and another unknown raspberry cultivar was as small as the wild raspberry with 14.60% sugar content. Although 'Wangttal' and the unknown raspberry cultivars cultivated in Kimhae possess lower contents of total phenolic compound (159.62, $165.94mg{\cdot}100g^{-1}$) and ellagic acid (45.7, $52.1mg{\cdot}100g^{-1}$ ) than the wild raspberry of Ulleungdo, the contents of total flavonoids (14.28, $14.90mg{\cdot}100g^{-1}$) and total anthocyanins (28.69, $30.48mg{\cdot}100g^{-1}$) were higher. Also the wild raspberry of Ulleungdo, 'Wangttal', and the unknown raspberry cultivar of Kimhae had higher antioxidant activities measured by FRAP (Ferric reducing antioxidant power), DPPH (2,2-diphenyl-1-picrylhydrazyl), and ABTS (2,2' azinobis-(3-ethylbenzothiazoline-6-sulphonic acid) assays. The present study shows that three raspberry cultivars could be potent resources for raspberry breeding and functional material development.

• International journal of advanced smart convergence
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• v.6 no.1
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• pp.44-49
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• 2017

In the modern technology era, it is possible to connect objects and the internet anytime and anywhere through IoT of hyper-connected society. Accordingly, a smart shopping cart was designed and realized by applying IoT. Therefore, this paper builds the IoT shopping cart system according to the trend of IoT environment.. When RFID is installed in the Arduino and the tagged item is inserted into the IoT shopping cart, the product information and price are displayed on the Arduino linked Raspberry Pi. We built a web server on the Raspberry Pi to handle this data, and built an App on the smartphone to implement the IoT shopping cart environment. Consumers can receive pricing and product information through smartphone apps through raspberry pie, can make quick calculations through smartphone, and provide various information to consumers through apps.

• 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.