• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.565-570
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• 2015

In this paper, we implemented the smart door lock system that control remotely devices using the concept of internet of things. Internet of things is intelligent system that can help devices to communicate with people and devices. And recently internet of things is getting attention because of advance of hardware technology and big data. The smart doorlock system based on internet of things used raspberry pi, sensor and doorlock. Using the smart phone, doorlock can be controlled from the raspberry pi server. And the user can identify some people that is in front of doorlock. also user can check around of doorlock in realtime using the raspberry pi camera.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.989-1009
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• 2018

Rapid advances in science and technology with exponential development of smart mobile devices, workstations, supercomputers, smart gadgets and network servers has been witnessed over the past few years. The sudden increase in the Internet population and manifold growth in internet speeds has occasioned the generation of an enormous amount of data, now termed 'big data'. Given this scenario, storage of data on local servers or a personal computer is an issue, which can be resolved by utilizing cloud computing. At present, there are several cloud computing service providers available to resolve the big data issues. This paper establishes a framework that builds Hadoop clusters on the new single-board computer (SBC) Mobile Raspberry Pi. Moreover, these clusters offer facilities for storage as well as computing. Besides the fact that the regular data centers require large amounts of energy for operation, they also need cooling equipment and occupy prime real estate. However, this energy consumption scenario and the physical space constraints can be solved by employing a Mobile Raspberry Pi with Hadoop clusters that provides a cost-effective, low-power, high-speed solution along with micro-data center support for big data. Hadoop provides the required modules for the distributed processing of big data by deploying map-reduce programming approaches. In this work, the performance of SBC clusters and a single computer were compared. It can be observed from the experimental data that the SBC clusters exemplify superior performance to a single computer, by around 20%. Furthermore, the cluster processing speed for large volumes of data can be enhanced by escalating the number of SBC nodes. Data storage is accomplished by using a Hadoop Distributed File System (HDFS), which offers more flexibility and greater scalability than a single computer system.

• Journal of Applied Biological Chemistry
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• v.57 no.2
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• pp.161-164
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• 2014

To establish the pre-freezing treatment and to secure microbial safety of blueberry, Korean raspberry, and mulberry, the effects of chemical sanitizers on the populations of microorganisms in the berries were examined. Among the treatments, the combined treatment of 50 ppm aqueous chlorine dioxide and 0.1% fumaric acid reduced most the populations of total aerobic bacteria in the blueberry, Korean raspberry, and mulberry by 2.56, 2.26, and 2.56 log CFU/g, respectively, compared to the control. The populations of yeast and mold in the blueberry, Korean raspberry, and mulberry by the combined treatment were also reduced by 2.24, 2.08, and 1.49 log CFU/g, respectively. These results suggest that the combined treatment can be useful for reducing the microbial contamination and maintaining the quality of frozen berries.

• Food Engineering Progress
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• v.13 no.4
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• pp.302-307
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• 2009

In this study, four Korean black raspberry wines were developed from different regions in Korea; Gochang (G), Heongsung (H), Jeongup (J), and Sungchang (S). Their flavor profiles were determined using a combination of volatile analysis and sensory evaluation. From the volatile analysis of the developed wines, 8 acids, 17 alcohols, 12 esters, 9 terpenes, 3 aldehydes and ketones, and 4 miscellaneous compounds were identified. Preferences of appearance, aroma, full-body, and overall acceptability in the developed wines were determined using 9-point hedonic scale by 43 panelists, compared with one commercial black raspberry wine (Sunw). The sweetness, sourness, astringency levels were also evaluated using 9-point just-about-right (JAR) scale. The mean overall acceptability score of Sunw (5.58) was the highest among the tested wines, followed by G (4.81), S (4.44), H (4.41), and J (4.13) (p<0.05). Sweetness levels in the developed wines were overall lower than JAR level, while sourness and astringency levels were overall higher than JAR level.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.868-871
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• 2016

Recently, Unmanned vehicle and Wearable Technology using iot research is being carried out. The unmanned vehicle is the result of it technology. Robots, autonomous navigation vehicle and obstacle avoidance, data communications, power, and image processing, technology integration of a unmanned vehicle or an unmanned robot. The final goal of the unmanned vehicle manual not autonomous by destination safely and quickly reaching. This paper managed to cover One of the key skills of unmanned vehicle is to image processing. Currently battery technology of unmanned vehicle can drive for up to 1 hours. Therefore, we use the Raspberry Pi 3 to reduce power consumption to a minimum. Using the Raspberry Pi 3 and to develop an image recognition system. The goal is to propose a system that recognizes all the objects in the image received from the camera.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.289-294
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• 2019

It easily collects information on purchased goods using IoT(Internet of Things). The collected data is updated directly to the smartphone for verification. The payment information is generated by QR-Code. As a way to implement a system, System was configured with two assumptions: IoT technology using Raspberry-Pi and mobile QR technology. First, RFID tags are attached to the goods instead of barcodes. Second, it has an IoT computer(Raspberry-Pi) built into its shopping cart. This system keeps traditional shopping method of face-to-face payment, but replace time-consuming tarditional barcode tagging method to QR-tagging system for time-efficiency. By debeloping the system of this paper, we maintain pleasures in offline store shopping and it provide convenience due to reduced waiting time for customers and providing prior information about the products.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.835-844
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• 2021

In this paper, a power facility communication control device was designed to autonomously determine and separate the fault section through communication between power facilities in the smart grid distribution system. In the power facility communication control device, the control module was designed as a DSP to measure three-phase voltage and current, and the communication module was designed as an embedded-based Raspberry Pi to determine the fault section and realize the fault section separation through communication between power facilities. Communication between DSP and Raspberry Pi was designed by SPI communication, and communication between Raspberry Pi was designed based on Wi-Fi. Finally, a performance evaluation system based on three power facility communication control devices was built, and simulation verification was conducted for various fault events that may occur on the distribution line. As a result of the test evaluation, it was possible to confirm the effectiveness of the design methodology of the communication control device by showing the required response of the communication control device to all test cases.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.63-68
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• 2022

In schools and corporate buildings, public WiFi Access Points are installed on the ceilings of hallways. In the case of an architectural structure in which a WiFi signal enters through a steel door made of a material with high signal attenuation, Internet connection is frequently cut off or fails when the door is closed. To solve this problem, our research implements an economical and portable WiFi extender using a Raspberry Pi and an auxiliary battery. Commercially available WiFi extenders have limitations in the location where the power plug is located, and WiFi extension using the WiFi hotspot function of an Android smartphone is possible only in some high-end models. However, because the proposed device can be installed at the position where the Wi-Fi reception signal is the best inside the door, the WiFi range can be extended while minimizing the possibility of damage to the original signal. Experimental results show that it is possible to eliminate the shadows of radio waves and to provide Internet services in the office when the door is closed, to the extent that web browsing and real-time video streaming for 720p are possible.

• Korean Journal of Food Science and Technology
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• v.46 no.2
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• pp.198-204
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• 2014

Ultraviolet B (UV-B) irradiation is a negative factor that induces skin damage, inflammation, and aging. UVB irradiation induces the inflammatory response through interleukin (IL)-6 and IL-8 expression in keratinocytes. In addition, it induces the production of reactive oxygen species (ROS) and the activation of matrix metalloproteinase-1 (MMP-1), which plays an important role in collagen 1 degradation in the extracellular matrix. We investigated the antiaging effects of five kinds of berry in human skin keratinocyte (HaCaT) cells using juice of black raspberry (Rubus occidentalis), blueberry wild (Vacciniun angustifolium) and cultivar (Vacciniun corymbosum), black chokeberry (Aronia melanocarpa (Michx.) Elliott), and mulberry (Morus abla). HaCaT cells irradiated with UV-B exhibited increased ROS generation, as well as IL-6, IL-8, and MMP-1 gene expression, when compared to the control cells that were not irradiated with UV-B. However, pre-treatment of berry juice before UV-B irradiation significantly down-regulated the UV-B-induced ROS generation and inflammatory cytokine and MMP-1 expression. The results suggest that all berries have anti-aging effects including lowering inflammatory cytokine levels, ROS generation, and MMP-1 expression in HaCaT cells during UV-B irradiation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.1-9
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• 2015

In this paper, we implemented the computer vision platform design with MEAN Stack through Raspberry PI 2 model which is an open source platform. we experimented the face recognition, temperature and humidity sensor data logging with WiFi communication under Raspberry Pi 2 model. Especially we directly made the shape of platform with 3D printing design. In this paper, we used the face recognition algorithm with OpenCV software through haarcascade feature extraction machine learning algorithm, and extended the functionality of wireless communication function ability with Bluetooth technology for the purpose of making Android Mobile devices interface. And therefore we implemented the functions of the vision platform for identifying the face recognition characteristics of scanning with PI camera with gathering the temperature and humidity sensor data under IoT environment. and made the vision platform with 3D printing technology. Especially we used MongoDB for developing the performance of vision platform because the MongoDB is more akin to working with objects in a programming language than what we know of as a database. Afterwards, we would enhance the performance of vision platform for clouding functionalities.