• Title/Summary/Keyword: Processing plant

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Displacement Measurement of Pylon using Image Processing Technique (영상처리 기법을 이용한 주탑의 변위 측정)

  • Son, Byung Jik;Jeon, Seung Gon;Heo, Gwang Hee
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.6 no.3
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    • pp.20-25
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    • 2015
  • This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.

Combustion Control of Refuse Incineration Plant using Fuzzy Model and Genetic Algorithms (퍼지 모델과 유전 알고리즘을 이용한 쓰레기 소각로의 연소 제어)

  • Park, Jong-Jin;Choi, Kyu-Seok
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.7
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    • pp.2116-2124
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    • 2000
  • In this paper we propose combustion control of refuse incineration plant using fuzzy model and genetic algorithm. At first fuzzy modelling is performed to obtain fuzzy model of the refuse incineration plant and obtained fuzzy model predicts outputs of the plant when inputs are given. Fuzzy model ca be used to obtain control strategy, and train and enhance operators' skill by simulating the plant. Then genetic algorithms search and find out optimal control inputs over all possible solutions in respect to desired outputs and these are inserted to plant. In order to testify proposed control method, computer simulation was carried out. As a result, ISE of fuzzy model of refuse incineration plant is 0.015 and ITAE of control by proposed method, 352 which is better than that by manual operation.

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The combined algorithm on the time-based alarm processing and diagnosis for power plants (실시간 경보처리 및 진단 병합 알고리즘 개발)

  • 정학영;박현신
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1782-1787
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    • 1997
  • A combined algorithm called APEXS(Alarm Processing and Diagnosis Expert System) for power plants has been developed on the time-based alarm processing with a proper alarm prioritization and a diagnosis with a qualitative model(QM), qualitative interpreter(QI), and a state-transition trees(STT).

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Phenylpropanoids from Myristica fragrans Houtt (육두구(Myristica fragrans Houtt)로부터 Phenylpropanoid의 분리)

  • Song, Myoung-Chong;Ahn, Eun-Mi;Bang, Myun-Ho;Kim, Se-Young;Rho, Yeong-Deok;Kwon, Byuong-Mog;Lee, Hyun-Sun;Baek, Nam-In
    • Applied Biological Chemistry
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    • v.47 no.3
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    • pp.366-369
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    • 2004
  • Myristica fragrans Houtt were extracted in 80% aq. MeOH and solvent fractionated sing $CHCl_3$, EtOAc, n-BuOH and water, successively. The n-BuOH fraction gave three phenylpropanoids through application of silica gel column chromatographies. The chemical structures of the phenylpropanoids were determined by the interpretation of several spectral data, including NMR and MS as meso-dihydroguaiaretic acid (1), nectandrin B (2) and syringin methyl ether (3). Compound 1, which was first isolated from this plant by authors, showed inhibitory activities with $60.0{\pm}2.1%\;(100\;{\mu}g/ml),\;42.6{\pm}0.9%\;(140\;{\mu}g/ml)\;and\;12.2{\pm}0.2%\;(200\;{\mu}g/ml)$ on ACAT(acyl-CoA:Cholesterol Acyltransferase), chitin synthase III and HMG-CoA reductase (3-hydroxy-3-methylglutaryl coenzyme A reductase), respectively. Compound 3 showed inhibitory activities with $27.2{\pm}0.9%\;(100\;{\mu}g/ml),\;45.5{\pm}0.8%\;(200\;{\mu}g/ml)$ on ACAT and chitin synthase III.

Analysis of Sun Tracking Performance of Various Types of Sun Tracking System used in Parabolic Dish Type Solar Thermal Power Plant (접시형 태양열 발전시스템에서 사용하는 여러 가지 형태의 태양추적시스템의 태양추적성능 분석)

  • Seo, Dong-Hyeok;Park, Young-Chil
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.4
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    • pp.388-396
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    • 2011
  • Sun tracking system is the most important subsystem in parabolic dish type solar thermal power plant, since it determines the amount of thermal energy to be collected, thus affects the efficiency of solar thermal power plant most significantly. Various types of sun tracking systems are currently used. Among them, use of photo sensors to located the sun(which is called sensor type) and use of astronomical algorithm to compute the sun position(which is called program type) are two of the mostly used methods. Recently some uses CCD sensor, like CCD camera, which is called image processing type sun tracking system. This work is concerned with the analysis of sun tracking performance of various types of sun tracking systems currently used in the parabolic dish type solar thermal power plant. We first developed a sun tracking error measurement system. Then, we evaluate the performance of five different types of sun tracking systems, sensor type, program type, hybrid type(use of sensor and computed sun position simultaneously), tracking error compensated program type and image processing type. Experimentally obtained data shows that the tracking error compensated program type sun tracking system is very effective and could provide a good sun tracking performance. Also the data obtained shows that the performance of sensor type sun tracking system is being affected by the cloud significantly, while the performance of a program type sun tracking system is being affected by the sun tracking system's mechanical and installation errors very much. Finally image processing type sun tracking system can provide accurate sun tracking performance, but costs more and requires more computational time.

Implementation of GrADS and R Scripts for Processing Future Climate Data to Produce Agricultural Climate Information (농업 기후 정보 생산을 위한 미래 기후 자료 처리 GrADS 및 R 프로그램 구현)

  • Lee, Kyu Jong;Lee, Semi;Lee, Byun Woo;Kim, Kwang Soo
    • Atmosphere
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    • v.23 no.2
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    • pp.237-243
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    • 2013
  • A set of scripts for GrADS (Grid Analysis and Display System) and R was implemented to produce agricultural climate information using the future climate scenarios based on the Representative Concentration Pathways. The GrADS script was used to calculate agricultural climate indices including growing degree days and cooling degree days. The script generated agricultural climate maps of these indices, which are compatible with common Geographic Information System (GIS) applications. To perform a statistical analysis using the agricultural climate maps, a script for R, which is open source statistical software, was used. Because a large number of spatial climate data were produced, parallel processing packages such as SNOW, doSNOW, and foreach were used to perform a simple statistical analysis in the R script. The parallel script of R had speedup on workstations with multi-CPU cores.