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오픈 소스 소프트웨어를 이용한 빅데이터 기반의 IIOT 디바이스 모니터링 시스템
조성훈,김영곤 한국디지털융합학회 2018 디지털경영연구 Vol.5 No.1
Recently, as a sensor technology for detecting sensor data such as a temperature sensor, a humidity sensor and an optical sensor has rapidly developed, big data technology is rapidly developing in various fields such as industry, military, medical, and weather. Big data processing consists of five steps: Aggregator, Storage, Processing, Analysis, and Visualization, and processes large amounts of large data. It looks like a simple process, but it requires advanced core skills to drive the flow of large amounts of data. In this paper, we construct a distributed system for data collection and processing in order to conduct an effective big data analysis on a huge amount of sensing data generated in a sensor network. In order to reduce the unnecessary analysis of the data generated by the sensor, we implemented the system using Hadoop ECO System and ELK, and verified the superiority of the paper through simulation.
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On regular preopen sets and p*-closed spaces
조성훈,박재근 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.18 No.1-2
We introduce the notions of regular preopen sets and p-closed spaces and investigate some of these properties. Also we give a characterization of pclosed spaces.
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조성훈,최을림,임인택,김성현 한국물리학회 2010 새물리 Vol.60 No.8
Neutrino experiments are generally carried out underground or underwater in order to reduce the background. An online system of thermo-hygrometer was made through the use of simple commercial parts and the ROOT program, which is used in particle physics and is useful at underground or underwater facility where the thermo-hygrometer sensor and the computer are separated by a large enough distance. 중성미자와 관련된 실험은 백그라운드를 줄이기 위해서 일반적으로지하나 수중에서 수행된다. 이 같은 수중 혹은 지하 시설에서 온습도센서와 컴퓨터사이가 멀리 떨어져 있을 때 유용한 실시간 온도 측정장치를 간단한 부품과 입자물리에서 자주 이용하는 ROOT를 이용하여제작하였다.
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Phytochemical Identification from Boehmeria nivea Leaves and Analysis of (-)-Loliolide by HPLC
조성훈,이동구,정용수,김호방,조은주,이상현 한국생약학회 2016 Natural Product Sciences Vol.22 No.2
Phytochemicals were isolated from leaves of the fiber crop, ramie (Boehmeria nivea, Bn), using open column chromatography and medium pressure liquid chromatography. Their structures were identified as b-sitosterol, (-)-loliolide, rutin, and pyrimidinedione by MS, 1H-, and 13C-NMR spectroscopic analysis. Among them, (-)-loliolide was isolated for the first time from B. nivea. A content analysis of (-)-loliolide in B. nivea collected from different regions and harvest times was conducted by HPLC. The highest content of (-)-loliolide was found in Bn-23 harvested in September. These results will be helpful to use the plant which harvest in September as a high content phytochemical additive in food, health supplements, and medicinal products.
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조성훈,Norman G. Quilantang,이주성,김영미,김호방,조은주,정용수,이상현 한국생약학회 2018 Natural Product Sciences Vol.24 No.1
Phytochemical analysis of Boehmeria nivea (Bn) leaves by medium pressure liquid chromatography led to the isolation of a flavonoid glycoside identified by spectroscopic analysis as rutin. The amount of rutin in the leaves of Bn harvested from nine regions in South Korea (Bn 1-9) which were collected on the months of June, July, August, and September was determined by HPLC-UV analysis. A gradient elution program that utilizes a Discovery? C18 (4.6 ? 250 mm, 5 mm) column and mobile phase composed of 1% acetic acid-water: acetonitrile (90:10 to 60:40 for min) was followed. The injection volume and flow rate were 10 ml and 1 mL/ min, respectively. UV detection was set at 350 nm. Results show that Bn-8 harvested in September reported the highest content of rutin among the samples analyzed. This study provides a basis for the optimal harvest time of Bn which maximizes the yield of rutin.
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