• Title/Summary/Keyword: 유동 센서

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Pedestrian Counting System Using RGB-Sensor and Depth-Sensor (RGB센서와 Depth센서를 이용한 유동인구 수 측정 시스템)

  • Kim, Ki-Yong;Yoon, Kyoungro
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.07a
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    • pp.518-521
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    • 2015
  • 컴퓨터 비전이나 감시영상 시스템에서 유동인구 수 측정은 보안 및 경제적 측면에서 중요한 과제이다. 본 논문에서는 RGB센서와 Depth센서를 이용해서 유동 인체를 식별하고 추적하며, 유동인구 수를 측정하는 방법을 제안한다. 제안된 방법은 받아온 영상에서 유동인체를 검출하고, 검출된 인체를 추적한다. 추적된 정보는 이동방향 인식을 하기 위해 사용된다. 중첩에 대한 문제를 해결하기 위해 Merge&Separate 방법과 Kinect Merge&Separate방법을 제안한다. 검출된 유동인체에 대한 정보는 다양한 변수들로 저장된다. 또한 RGB센서와 Depth센서의 장단점을 상호 보완할 수 있는 인체 매칭 시스템을 제안한다. 본 논문의 실험은 자체적으로 제작한 영상을 사용하여 실험을 진행하였다. 실험을 통하여 제안된 유동인구 수 측정 시스템이 유동인구 검출률을 향상시킬 수 있음을 보여준다.

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A Heatmap-based Leakage Location Estimation Algorithm for Circulating Fluidized Bed Boiler Tube Using Acoustic Emission Sensors (음향방출 센서를 이용한 히트맵기반 순환유동층 보일러 튜브 누설 위치 추정 알고리즘)

  • Kim, Jaeyoung;Kim, Jong-Myon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.51-52
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    • 2018
  • 화력발전용 순환유동층 보일러는 환경오염의 주요인인 질소산화물(NOx)과 황산화물(SOx)의 배출량이 적은 친환경 화력발전용 보일러로 화력발전 업계에서 각광받고 있는 추세이다. 그러나 순환유동층 보일러의 연료인 유동매체는 미분탄과 같이 작지만 단단한 고체이므로 유동매체의 타격으로 인해 워터월(waterwall) 튜브의 마모는 물론 누설까지 야기할 수 있다. 순환유동층 보일러 튜브에서 누설된 증기는 보일러 내부에 클링커(Clinker)를 발생시키고 이는 순환유동층 보일러 튜브 표면에 응고되어 열전도율을 감소시킬 뿐만 아니라 보일러 운전정지의 원인이 된다. 따라서 본 논문에서는 음향방출 센서를 이용하여 화력발전용 순환유동층 보일러 튜브의 누설 위치를 추정하는 방법을 제안한다. 제안 방법에서는 매질의 분자단위 이동에 의해 발생되는 탄성파를 감지할 수 있는 음향방출 센서를 이용하고, 보일러 워터월 튜브의 멤브레인 용접부와 비용접부(seamless)의 감쇠율을 고려한 위치별 센서 감도 추정 알고리즘을 통해 워터월 튜브의 위치별 진폭 크기를 히트맵으로 표현할 수 있다.

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Improvement in flow and noise performances of small axial-flow fan for automotive fine dust sensor (차량용 미세먼지 센서용 소형 축류팬의 유동과 소음 성능 개선)

  • Younguk Song;Seo-Yoon Ryu;Cheolung Cheong;Inhiug Lee
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.1
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    • pp.7-15
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    • 2023
  • Recently, as interest in air quality in vehicles increases, the use of fine dust detection sensors for air quality measurement is becoming common. An axial-flow fan is inserted in the fine dust sensor installed in the air conditioning system in the vehicle to prevent dust from sinking directly on the sensor. When the sensor operates, the flow noise caused by the rotation of the axial-flow fan acts as a major noise source of the fine dust sensor. flow noise is recognized as one of the product competitiveness of fine dust sensors. In this study, the noise was gradually reduced at the same flow rate by improving the flow performance of the small axial flow fan. First, a virtual fan performance tester consisting of about 20 million grids was developed to analyze the aerodynamic performance of the target small axial-flow fan. In addition, the flow field was simulated by using compressible Large Eddy Simulation for direct computation of flow noise as well as high-accurate prediction of flow rate. The validity of numerical method are confirmed through the comparison of predicted results with experimental ones. After the effects of pitch angle on flow performance were analyzed using the verified numerical method, the pitch angle was determined to maximize the flow rate. It was found that the flow rate was increased by 8.1 % and noise was reduced by 0.8 dBA when the axial-flow fan with the optimum pitch angle was used.

Development of Wall Flow Sensor Using Micro Imaging Device (미세 영상 장치를 이용한 벽면 유동 센서 개발)

  • Lee, Seung Hwan;Kim, Byung Soo;Kim, Hyoung-Bum
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.12
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    • pp.1217-1222
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    • 2012
  • A wall flow sensor has been used for feedback flow control and wall shear stress measurement. In this study, we developed a new wall flow sensor by combining the PIV algorithm and the micro image sensor used in an optical mouse. The feasibility of the wall flow sensor was investigated by using simulated fluid flow experiments. Compared with the quadrature signal from imaging devices, the accuracy of the wall flow velocity measurement was improved and the dynamic range increased. In addition, the depth information of particles was also measured by using the defocusing imaging technique.

Flow Analysis and Flight Experiment for Optimum Height of Weather Data Sensor (기상데이터 센서의 최적 높이를 위한 유동해석 및 비행실험)

  • Kim, Young-in;Ku, SungKwan;Park, ChangHwan
    • Journal of Advanced Navigation Technology
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    • v.22 no.6
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    • pp.551-556
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    • 2018
  • In recent years, drones have been used to measure aircraft flights data and weather information. Related applications include the measure for low-altitude atmospheric data, the measure for atmospheric fine dust, and the measure for air pollution. However, the mounting position of the atmospheric measurement sensor should be mounted by considering the effects of propeller flow, the EMI effects, and the changes in the weight of the drone. Among these, the upper flow of the propeller affects the wind speed and direction, so the optimal position should be selected. This study deals with the proper height of the atmospheric data measurement sensor. Through the flow analysis, we study the flow characteristics of around a drone and suggest the proper sensor mounting height.

Supersonic air data acquisition algorithm using total pressure sensors (전압력센서를 적용한 초고속 유동데이터 산출 알고리즘)

  • Choi, J.H.;Lee, J.Y.;Yoon, H.G.;Lim, J.S.
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.04a
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    • pp.215-218
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    • 2011
  • An air data acquisition algorithm has been developed for the supersonic flow at the preliminary design stage with pressure data acquisition device composed of major three total pressure sensors and two static pressure sensors. Through this algorithm, Mach number, angle of attack and sideslip angle can be very easily derived with simple interpolation algorithm and predefined data tables. In this preliminary design stage, to verify the developed algorithm, the data tables are constructed with data driven by Taylor Maccoll equation. Furthermore, these data are compared and modified with computational results based on CFD analysis. The present algorithm would be useful to get supersonic air data for the various aerial vehicles and their flight tests.

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Wireless Telemetry of an Oscillating Flow using Mesoscale Flexible Cantilever Sensor (메소스케일 유연 외팔보 센서를 이용한 진동유동의 무선 계측)

  • Park, Byung Kyu;Lee, Joon Sik
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.5
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    • pp.495-501
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    • 2013
  • This paper describes a flexible wireless telemetering system using a mesoscale cantilever sensor, which is microfabricated with a patterned thin Ni-Cu foil on a resin substrate. The dynamic validation of the sensor has been conducted in a flow. The wireless telemetry is used to obtain data regarding the oscillating flows. It is shown that the sensor is nearly independent of the environmental temperature and is suitable for application to primary healthcare and diagnostic devices. It can be easily integrated with other modules for measuring physiological parameters, e.g., blood pressure, oxygen saturation, and heart rate, to increase the convenience and reliability of diagnosis. The precision and reliability of the sensor are also dependent on the design of the analog front-end and noise reduction techniques. It is shown that the present system's minimum interval between packet transmissions is ~16 ms.

Numerical Analysis of Flowfield around Multicopter for the Analysis of Air Data Sensor Installation (대기자료센서 장착위치 분석을 위한 멀티콥터 주변 유동장 수치해석)

  • Park, Young Min;Lee, Chang Ho;Lee, Yung Gyo
    • Journal of Aerospace System Engineering
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    • v.11 no.5
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    • pp.20-27
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    • 2017
  • The present paper describes the flow analysis of the flows around the multicopter for the selection of optimal position of air data sensor. For the flow analysis, the commercial fluid dynamics solver, STAR-CCM+ was used with polygon mesh and k-w SST turbulence modeling options. For the simulation of each rotating 4 propellers, unstructured overset mesh method was used. Hovering, forward flight, ascending and descending flight conditions are selected for the analysis and airspeed and flow angle errors were investigated using the CFD results. Through the flow field analysis, sensor location above one propeller diameter distance from the propeller rotating plane showed airspeed error less than 1m/s within the typical flight conditions of multicopter except descending.

Implementation of Counting Estimation System based on RaspberryPi (라즈베리파이 기반 관찰계수 측정 시스템 구현)

  • Choi, Woogeun;Jeong, Dongwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.865-867
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    • 2016
  • 이 논문에서는 기존의 유동인구 조사 방법 중 사람이 직접 계수하는 관찰계수의 문제점을 보완하는 방법을 제안하고 구현 및 평가한다. 유동인구 조사 방법에서 자료 수집하는 방법으로는 크게 두 가지가 있다. 사람이 직접 계수하여 수집하는 관찰계수 방법과 각종 센서들을 활용하여 수집하는 방법이 있다. 관찰계수 방법은 자료 수집 후에 유동인구 조사 규모에 따라 절차와 분석 시간이 많이 걸린다는 문제점을 가지고 있고 각종 센서를 활용한 방법은 인체감지의 중첩, 공간의 종속성, 비용의 문제점을 가지고 있어 실효성의 문제로 인하여 여전히 관철계수를 사용한 방법이 많이 사용되고 있다. 이 논문에서는 현재 실질적으로 많이 사용되고 있는 관찰계수의 문제점을 보완하여 개선하는데 목적이 있다. 기존의 관찰계수 방법보다 제안 방법의 관찰계수로 유동인구를 조사한 결과, 기존 방법보다 제안 방법이 절차와 분석에 시간이 향상됨을 확인했다.