• Title/Summary/Keyword: source monitoring

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A Study on Display Data of Radiation Point at 3 Dimensions (3차원 공간상 방사선원 위치 정보 표현에 관한 연구)

  • Lee, Seung-Min;Lee, Heung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.6
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    • pp.1130-1132
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    • 2007
  • In this research, 3D position exploring system was developed to detect direction and position of radiation source by using two general CCD camera. This system consists of a radiation detection device, a controlling device, and a monitoring device. A radiation detection device is composed of a collimator, a scintillator, CCD sensor, and radiation shielding part. Incident radiation is firstly collimated with direction and converted into visual lights in a scintillator. The CCD sensor detect the converted visual light and send a signal as an image. This can explore a radiation source with direction and distance from geometrical structure of two sensors. From these information, the developed 3D position exploring system can provide 3D radiation source information. This research will be useful for managing and processing radioactive materials in remote.

Detection of AGN outflows in micro-arcsec scales

  • Oh, Junghwan;Trippe, Sascha;Krichbaum, Thomas;Sohn, Bong Won;Bremer, Michael
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.43.1-43.1
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    • 2013
  • We report the preliminary results of our GMVA(Global mm VLBI Array) observation at the frequency of 86 GHz. Observation were made in the dual polarization mode (LCP and RCP), to produce the polarimetric maps with the maximum angular resolution which the array is capable of. We aim to link the source-integrated AGN polarization properties with the polarized spatial source structure, by mapping the polarized "fine structure" of the target AGN. We selected 2 targets, 0954+658 and 0716+714, which (1) have been observed multiple times by the PdBI polarimetric monitoring program; (2) have sufficient integrated fluxes ($S_{90GHz}$ > 1 Jy) ; (3) are close enough to resolve the source structure < 1 pc with given angular resolution ; and (4) are located at high northern declination for good UV coverages. As preliminary results, we present LL and RR polarized images of each target with the maximum angular resolution of ${\sim}60{\mu}as$. Extended structures, probably the jet outflows, are discovered in both sources.

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Acoustic Emission Technique for Crack Source Location of Reinforced Concrete Beams Strengthened in Shear with CFRP (CFRP로 전단보강된 철근콘크리트 보에서 음향방출 특성을 이용한 균열 위치추정)

  • Lee, Young-Oh;Kim, Sun-Woo;Yun, Hyun-Do;Seo, Soo-Yeon;Choi, Chang-Sik;Choi, Ki-Bong
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05a
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    • pp.322-325
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    • 2006
  • This study was conducted to develop the crack location technique for CFRP reinforced concrete beam using AE method. To experimentally prove the crack source location made of four reinforced concrete beams strengthened in shear with CFRP. The results compared the real cracking location with the source location has perceived by AE monitoring, before it is appeared the primary crack by visual observation. So, This study used by a basic data in constructing the system of the failure warning at application.

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Developement of Defects Detection Algorithm on an Iron Plate using Image Processing Method.다. (영상처리 기법을 이용한 철판 결함 검출 알고리즘 개발)

  • Anh, In-Seok;Ra, Je-Hun;Kim, Sung-Yong
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.237-239
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    • 2009
  • The purpose of this research is to propose a system to detect a strip defect on a iron plate using an image processing, one way of finding defects on an iron plate. An existing way of image processing is using a light source which release a light energy in a certain frequency and a light absorbing display which responds to the light source. This research attempts to detect defects by using the image processing which handles an illumination, without depending on characteristics of light frequency. One of the advantages of this method is that it makes up for the weakness of the existing method which was too difficult for users to notice a defect. Also this method makes it possible to realize a real-time monitoring on a plate of iron.

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Systematic Review on Management of Livestock wastes for Improving Water Quality (수질개선을 위한 축산계 오염물질 관리방안에 대한 고찰)

  • Ahn, Ki Hong;Ryu, Hong Deok;Kim, Yong Seok
    • Journal of Korean Society on Water Environment
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    • v.31 no.5
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    • pp.576-582
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    • 2015
  • In recently, the Korea government is concerning on non-point source pollution management to improve water quality. The objective of this paper is to investigate the improvement measurement for management of livestock wastes. As a result, we find that the National Pollution Source Survey is necessary to establish the unified database system with the Korea Statistics(KOSAT) in order to minimize the difference between relevant data. The investigation for environmental impact of livestock manure should be supported the designation of control areas and establishment of the technical guidelines including target material, monitoring site, standard method, etc. In addition, it should be followed by appropriate nutrient recycling and proper fertilizer usage based on social consultation and cost-benefit analysis.

Development of Noise Source Detection System using Array Microphone in Power Plant Equipment (배열형 음향센서를 이용한 발전설비 소음원 탐지시스템 개발)

  • Sohn, Seok-Man;Kim, Dong-Hwan;Lee, Wook-Ryun;Koo, Jae-Raeyang;Hong, Jin-Pyo
    • KEPCO Journal on Electric Power and Energy
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    • v.1 no.1
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    • pp.99-104
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    • 2015
  • In this study, it has been initiated to investigate the specific abnormal vibration signal that has been captured in the power equipment. Array Microphone can be used in order to detect the direction and the position of the noise source. It is possible to track the abnormal mechanical noise in the power plant by utilizing the program and the microphone array system developed from this research. Array microphone system can be operated as a constant monitoring system.

Detecting Water Pollution Source based on 2D fluid Analysis in Virtual Channel (가상하도 내에서 2차원 흐름분석을 통한 오염원의 유입 지점 탐색)

  • Yeon, Insung;Cho, Yongjin
    • Journal of Korean Society on Water Environment
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    • v.27 no.1
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    • pp.30-35
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    • 2011
  • 2D pollutant transport model was applied to the simulation of contaminant transport in the channel. At first, two kinds of virtual channels having different slopes were designed. The distribution of contaminant, which flows from one of the three drainages to the main channel, was simulated by each 2D model. Concentrations of 745 nodes were converted to input data of neural network model (Multi-perceptron) for training and verification using matrix. The first three cases (Case A-1, A-2, A-3) were used for training Multi-perceptron, the other three cases (Case B-1, B-2, B-3) were used for verification. As a result, Multi-perceptron reasonably divided the cases into the three characteristics which have different contaminant distributions due to the different input point of water pollution source. It can be a useful methodology for the water quality monitoring and backtracking.

Analysis of Real-time Error for Remote Estimation Based on Binary Markov Chain Model (이진 마르코프 연쇄 모형 기반 실시간 원격 추정값의 오차 분석)

  • Lee, Yutae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.2
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    • pp.317-320
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    • 2022
  • This paper studies real-time error in the context of monitoring a symmetric binary information source over a delay system. To obtain the average real-time error, the delay system is modeled and analyzed as a discrete time Markov chain with a finite state space. Numerical analysis is performed on various system parameters such as state transition probabilities of information source, transmission times, and transmission frequencies. Given state transition probabilities and transmission times, we investigate the relationship between the transmission frequency and the average real-time error. The results can be used to investigate the relationship between real-time errors and age of information.

Development of Leak Detection System of Heat Exchanger using Acoustic Emission Technique (음향방출기법을 이용한 열교환기 누설검출시스템 개발)

  • Lee, Min-Rae;Lee, Jun-Hyeon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.5
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    • pp.864-871
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    • 2002
  • Acoustic emission(AE) technique has been applied to not only mechanical property testing but also on-line monitoring of the entire structure or a limit zone only. Although several AE devices have already been developed for on-line monitoring, the price of these systems is very high and it is difficult for the field to apply yet. In this study, we developed a specially designed PC-based leak detection system using A/D board. In this paper, AE technique has been applied to detect leak for heat exchanger by analyzing the characteristics of signal obtained from leak. It was confirmed that the characteristics of the signal generated by the turbulence of gas in the heat exchanger is narrow band signal having between 130-250kHz. Generally, the amplitude of leak signal is increased as the leak size increasing, but showed no significant change at frequency characteristic. Leak source location can be found by determining for the paint of highest signal amplitude by comparing with several fixed sensors. In this paper, AE results are compared with the PC-based leak detection system using A/D board.

A Study on IoT based Real-Time Plants Growth Monitoring for Smart Garden

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.130-136
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    • 2020
  • There are many problems that occur currently in agriculture industries. The problems such as unexpected of changing weather condition, lack of labor, dry soil were some of the reasons that may cause the growth of the plants. Condition of the weather in local area is inconsistent due to the global warming effect thus affecting the production of the crops. Furthermore, the loss of farm labor to urban manufacturing jobs is also the problem in this industry. Besides, the condition for the plant like air humidity, air temperature, air quality index, and soil moisture are not being recorded automatically which is more reason for the need of implementation system to monitor the data for future research and development of agriculture industry. As of this, we aim to provide a solution by developing IoT-based platform along with the irrigation for increasing crop quality and productivity in agriculture field. We aim to develop a smart garden system environment which the system is able to auto-monitoring the humidity and temperature of surroundings, air quality and soil moisture. The system also has the capability of automating the irrigation process by analyzing the moisture of soil and the climate condition (like raining). Besides, we aim to develop user-friendly system interface to monitor the data collected from the respective sensor. We adopt an open source hardware to implementation and evaluate this research.