• Title/Summary/Keyword: 분포센서

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The Validation of chlorophyll-a band ratio algorithm of coastal area using SeaWiFS wavelength (SeaWiFS 밴드역에 의한 연안해역의 엽록소 밴드비율 알고리듬 검증)

  • 정종철;유신재
    • Korean Journal of Remote Sensing
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    • v.16 no.1
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    • pp.37-45
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    • 2000
  • Since being launched for ocean observing in 1997, the SeaWiFS sensor has supplied data on ocean chlorophyll distribution and environmental conditions of the atmosphere. Until now, a lot of SeaWiFS data have been archived and utilized for ocean monitoring and land observation. The SeaWiFS sensor has 1km spatial resolution, therefore, it is difficult to obtain data at the coastal zone. Since atmospheric correction algorithms at the coastal area have not been confirmed for chlorophyll algorithm, the ocean color data analysis for coastal zone is not common. In particular, domestic coastal areas have high suspended sediments concentrations and higher absorption influence of colored dissolved organic matter (CDOM), released from in-land, than open-sea. Thus, a useful algorithm for analysis of chlorophyll distribution in domestic coastal areas has not been developed. In this study, empirical algorithms, using data from the ocean color sensor, were developed for monitoring of chlorophyll distribution of coastal areas. In the process of the development of the algorithms, we can find that the red band (665nm) should be used for analyzing of domestic coastal areas near the Yellow Sea.

Analysis of transverse mixing in rivers by tracing of continuously injected pollutants (연속주입 오염물 추적을 통한 하천 횡혼합 해석)

  • Seo, Il Won;Jung, Sung Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.193-193
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    • 2015
  • 오염원과 취수원이 인접한 위치에 존재하는 국내 하천 같은 경우 취수 시설의 안전한 관리를 위하여 오염물의 2차원 혼합 거동에 대한 연구가 필요하다. 하천에서의 오염물 혼합 거동을 분석하기 위하여 일반적으로 농도와 분산 정보 수집을 위한 추적자 실험을 수행해왔다. 기존에 수행된 추적자 실험들은 형광염료, 방사선 물질, 고형 물질 등과 같은 추적자를 인위적으로 주입하여 사용하였다. 그러나 수온, 전기전도도(electrical conductivity), 이온화 물질 등과 같은 자연 추적자(natural tracers)를 이용하는 추적자 실험은 인공추적자 물질을 대체할 수 있는 방안으로서, 기존 추적자 실험과 비교하여 경제적, 환경적인 효과와 하폭이 넓은 중규모 이상의 하천에서도 수행할 수 있다는 장점을 가지고 있다. 본 연구에서는 진천천과 금호강이 합류하는 낙동강 중류 구간에서 횡혼합 연구를 위하여 전기 전도도 추적 실험을 수행하였다. 강정고령보 직하류에서 낙동강 좌안쪽에서 합류하는 금호강과 진천천의 경우 인근 공업단지와 하폐수처리장으로부터 많은 비점오염원과 점오염원이 유입된다. 두곳의 지류에서 모두 높게 측정되었던 전기전도도를 자연 추적자로 선택하였다. 지류의 경우 전기전도도를 측정할 수 있는 센서를 측정 지점에 설치하여 측정하였으며, 본류인 낙동강의 경우 정해진 측선을 따라 센서가 고정된 보트를 이동하며 데이터를 취득하였다. 지류인 금호강과 진천천의 경우, 합류 전 전기전도도의 농도의 횡분포는 균일한 분포를 나타냈으며 농도의 평균값은 합류 전 낙동강 본류의 기저농도 보다 더 높은 값을 나타내었다. 지류 합류 이후의 낙동강 본류에서는 지류로부터 유입된 오염물질로 인하여 횡방향으로 불균등한 전기전도도 농도 분포를 나타내었으며 오염물질이 점점 하류 쪽으로 이동하면서, 횡방향 농도경사의 크기가 줄어들었다. 유관모멘트법을 농도곡선에 적용하여 횡방향 분산계수를 산정하였다. 산정된 횡분산계수의 값은 Rutherford (1994)가 제안한 분산계수의 범위에 포함되는 것으로 나타났다.

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Noise Analysis of Nonlinear Image Sensor Model with Application to SNR Estimation (위성용 카메라 비선형 모델의 잡음 특성 분석과 영상 신호-잡음비(Image SNR) 분포도 계산)

  • Myung, Hwan-Chun;Lee, Sang-Kon
    • Aerospace Engineering and Technology
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    • v.8 no.1
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    • pp.58-65
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    • 2009
  • The paper identifies noise characteristics of a nonliner image sensor model which reflects a saturation effect of each detector pixel and extends the result to estimate an image SNR (Signla-to-Noise Ratio) distribution over all the pixels in a detector. In particular, nonlinearity of a pixel is studied from two perspectives of including asymmetry of a noise PDF (Probability Distribution Function) and enhancing a pixel SNR value, in comparison to a linear model. It is noted that the proposed image SNR distribution function is useful to effectively select new optimal operation parameter values: an integration time and an pixel-summing number, even after a launch campaign, assuming sensor gain degradation in orbit or inevitable modification of some operation parameter values due to space contingency.

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Noise Removal using Normal Distribution and Pixel Characteristics in AWGN Environments (AWGN 환경에서 정규분포와 화소특성을 이용한 잡음제거)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.426-428
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    • 2019
  • Digital images are compromised by noise for various reasons, such as camera sensor malfunctions and hardware errors. Since AWGN can be found in most of electronic equipment, AWGN removal is essential in various image processing processes. In this paper, we propose a filter algorithm that eliminates noise considering the pixel characteristics in AWGN environments. In order to compensate this, the filtering range is set considering the distribution of the pixels inside the mask. The output of the filter suitable for each component is adjusted by adding or subtracting the weight according to the normal distribution. Set the output. To evaluate the performance of the proposed algorithm, we compared it with the existing method using simulation.

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Construction of Measuring System for Magnetic Properties Measurement of Azimuth Angle Sensor (방위각센서의 자기특성 측정 장치 제작)

  • Son, Derac
    • Journal of the Korean Magnetics Society
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    • v.24 no.1
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    • pp.22-27
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    • 2014
  • North indicating azimuth angle sensors have been used in airplanes, ships traditionally and nowadays employed in smart phones. For the azimuth and roll angle measurement of the sensor, 3-axis acceleration sensor was added to the 3-axis magnetic field sensor. In this work, we have constructed a measuring system for the measurement of the magnetic field and the angle uncertainty of the magnetic field sensors. Measuring system could be useful not only in non-magnetic laboratory but also in normal laboratory, we constructed small size of 3-axis Helmholtz coils for the compensation environment magnetic field (Earth magnetic field and magnetic field from building) and the generation of magnetic field for the test of magnetic field sensor. The constructed measuring system could compensate environment magnetic field below 10 nT level and generate 3-dimensional magnetic field with magnitude uncertainty of 0.2 % and angle error of $0.2^{\circ}$ within the volume of ${\pm}30mm$ diameter at center of Helmholtz coils. For the conformation of developed measuring system, We tested commercially available 3-axis magnetometer and heading sensor.

Monitoring System of Rock Mass Displacement and Temperature Variation for KURT using Optical Sensor Cable (광섬유센서케이블을 이용한 지하연구시설의 지반변위 및 온도변화 감시시스템 구축)

  • Kim, Kyung-Su;Bae, Dae-Seok;Koh, Yong-Kwon;Kim, Jung-Yul
    • The Journal of Engineering Geology
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    • v.19 no.1
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    • pp.63-70
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    • 2009
  • The optical fiber cable acting as a sensor was embedded in the underground research tunnel and portal area in order to monitor their stability and the spatial temperature variation. This system includes two types of sensing function to monitor the distributed strain and temperature along the line, where sensor cable is installed, not a point sensing. According to the results of one year monitoring around the KURT, there is no significant displacement or movement at the tunnel wall and portal slope. However, it would be able to aware of some phenomena as an advance notice at the tunnel wall which indicates the fracturing in rockmass and shotcrete fragmentation before rock falls accidently as well as movement of earth slope. The measurement resolution for rock mass displacement is 1 mm per 1 m and it covers 30 km length with every 1m interval in minimum. In temperature, the cable measures the range of $-160{\sim}600^{\circ}C$ with $0.01^{\circ}C$ resolution according to the cable types. This means that it would be applicable to monitoring system for the safe operation of various kinds of facilities having static and/or dynamic characteristics, such as chemical plant, pipeline, rail, huge building, long and slim structures, bridge, subway and marine vessel. etc.

Development of Device Measuring Real-time Air Flow in Greenhouse (온실 공기유동 계측 시스템 개발)

  • Noh, Jae Seung;Kwon, Jinkyoung;Kim, Yu Yong
    • Journal of Bio-Environment Control
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    • v.27 no.1
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    • pp.20-26
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    • 2018
  • This study was conducted to develop a device for measuring the air flow by space variation through monitoring program, which acquires data by each point from each environmental sensor located in the greenhouse. The distribution of environmental factors(air temperature, humidity, wind speed, etc.) in the greenhouse is arranged at 12 points according to the spatial variation and a large number of measurement points (36 points in total) on the X, Y and Z axes were selected. Considering data loss and various greenhouse conditions, a bit rate was at 125kbit/s at low speed, so that the number of sensors can be expanded to 90 within greenhouse with dimensions of 100m by 100m. Those system programmed using MATLAB and LabVIEW was conducted to measure distributions of the air flow along the greenhouse in real time. It was also visualized interpolated the spatial distribution in the greenhouse. In order to verify the accuracy of CFD modeling and to improve the accuracy, it will compare the environmental variation such as air temperature, humidity, wind speed and $CO_2$ concentration in the greenhouse.

Real-time Health Monitoring of Pipeline Structures Using Piezoelectric Sensors (압전센서를 사용한 배관 구조물의 실시간 건전성 평가)

  • Kim, Ju-Won;Lee, Chang-Gil;Park, Seung-Hee
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.6
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    • pp.171-178
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    • 2010
  • Pipeline structure is one of core underground infrastructure which transports primary sources. Since the almost pipeline structures are placed underground and connected each other complexly, it is difficult to monitor their structural health condition continuously. In order to overcome this limitation of recent monitoring technique, recently, a Ubiquitous Sensor Network (USN) system based on on-line and real-time monitoring system is being developed by the authors' research group. In this study, real-time pipeline health monitoring (PHM) methodology is presented based on electromechanical impedance methods using USN. Two types of damages including loosened bolts and notches are artificially inflicted on the pipeline structures, PZT and MFC sensors that have piezoelectric characteristics are employed to detect these damages. For objective evaluation of pipeline conditions, Damage metric such as Root Mean Square Deviation (RMSD) value was computed from the impedance signals to quantify the level of the damage. Optimal threshold levels for decision making are estimated by generalized extreme value(GEV) based statistical method. Throughout a series of experimental studies, it was reviewed the effectiveness and robustness of proposed PHM system.

The Behavior and Capacity of Lateral Loaded Rigid Pile Characteristics in Multi-layered Soil Conditions (다층지반에 관입된 강성말뚝의 수평 거동 및 수평 지지력 특성)

  • Kyung, Doo-Hyun;Kang, Beong-Joon;Hong, Jung-Moo;Lee, Jun-Hwan
    • Journal of the Korean Geotechnical Society
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    • v.25 no.4
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    • pp.77-90
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    • 2009
  • In this study, experimental analysis was performed about lateral load capacity and behavior of laterally loaded-bored rigid piles in muti-layered soil conditions. Lateral pile load tests were performed for muti-layerd soils consisting of different relative density. Ultimated lateral load capacities were measured from lateral load-displacement curves and compared with estimated values using theoretical methods. Bending moments and unit lateral capacity distribution of surrounding piles were measured from attached strain gauges and earth pressure sensors on the pile. It was found that ultimated lateral load capacities were different from the muti-layered soil conditions, and measured values were lower than estimated values. The bending moment distributions of the pile were similar all the time. Unit lateral capacity distributions were a little different from muti-layered soil conditions, but basically similar to the distribution proposed by Prasad and Chari (1999).

Modeling of the Cluster-based Multi-hop Sensor Networks (클거스터 기반 다중 홉 센서 네트워크의 모델링 기법)

  • Choi Jin-Chul;Lee Chae-Woo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.1 s.343
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    • pp.57-70
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    • 2006
  • This paper descWireless Sensor Network consisting of a number of small sensors with transceiver and data processor is an effective means for gathering data in a variety of environments. The data collected by each sensor is transmitted to a processing center that use all reported data to estimate characteristics of the environment or detect an event. This process must be designed to conserve the limited energy resources of the sensor since neighboring sensors generally have the data of similar information. Therefore, clustering scheme which sends aggregated information to the processing center may save energy. Existing multi-hop cluster energy consumption modeling scheme can not estimate exact energy consumption of an individual sensor. In this paper, we propose a new cluster energy consumption model which modified existing problem. We can estimate more accurate total energy consumption according to the number of clusterheads by using Voronoi tessellation. Thus, we can realize an energy efficient cluster formation. Our modeling has an accuracy over $90\%$ when compared with simulation and has considerably superior than existing modeling scheme about $60\%.$ We also confirmed that energy consumption of the proposed modeling scheme is more accurate when the sensor density is increased.