• Title/Summary/Keyword: sensor scanning

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Hydrogen sensor using Pt-loaded porous In2O3 nanoparticle structures (백금 담지 다공성 산화인듐 나노입자 구조를 이용한 수소센서)

  • Sung Do Yun;Yoon Myung;Chan Woong Na
    • Journal of Surface Science and Engineering
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    • v.56 no.6
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    • pp.420-426
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    • 2023
  • We prepared a highly sensitive hydrogen (H2) sensor based on Indium oxides (In2O3) porous nanoparticles (NPs) loaded with Platinum (Pt) nanoparticle in the range of 1.6~5.7 at.%. In2O3 NPs were fabricated by microwave irradiation method, and decorations of Pt nanoparticles were performed by electroless plating on In2O3 NPs. Crystal structures, morphologies, and chemical information on Pt-loaded In2O3 NPs were characterized by grazing-incident X-ray diffraction, field-emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, respectively. The effect of the Pt nanoparticles on the H2-sensing performance of In2O3 NPs was investigated over a low concentration range of 5 ppm of H2 at 150-300 ℃ working temperatures. The results showed that the H2 response greatly increased with decreasing sensing temperature. The H2 response of Pt loaded porous In2O3 NPs is higher than that of pristine In2O3 NPs. H2 gas selectivity and high sensitivity was explained by the extension of the electron depletion layer and catalytic effect. Pt loaded porous In2O3 NPs sensor can be a robust manner for achieving enhanced gas selectivity and sensitivity for the detection of H2.

Highly Sensitive sub-ppm level Trimethylamine Gas Sensor Based on Porous CuO/In2O3 Nanostructures (고감도 sub-ppm 수준의 다공성 CuO/In2O3나노구조 트리메틸아민 가스센서)

  • Sung Do Yun;Yoon Myung;Chan Woong Na
    • Journal of Sensor Science and Technology
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    • v.33 no.5
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    • pp.305-309
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    • 2024
  • Trimethylamine (TMA) is an organic amine gas that serves as a key indicator for evaluating the freshness of seafood. We synthesized a highly sensitive trimethylamine (TMA) sensor based on porous indium oxide (In2O3) nanoparticles (NPs) loaded with CuO in the range of 6.7 to 28.4 at.%. CuO was loaded by hydrazine reduction onto as prepared In2O3 NPs using the microwave irradiation method. Crystal structures, morphologies, and chemical composition of CuO/In2O3 nanostructures (NSs) were characterized by X-ray diffraction, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, and inductively coupled plasma mass spectrometry. The response of the 23.8 at.% CuO/In2O3 to 2.5 ppm TMA at 325℃ was 5.7, which was 2.8 times higher than that of porous In2O3 NPs. The high sensitivity and selective detection of TMA were attributed to electronic interactions between CuO and In2O3 and the high catalytic activity of CuO to TMA. Altogether, this CuO/In2O3 sensor could be used in the future to detect low concentrations of TMA, thereby aiding in the storage and distribution of marine food resources.

Land cover classification using LiDAR intensity data and neural network

  • Minh, Nguyen Quang;Hien, La Phu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.429-438
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    • 2011
  • LiDAR technology is a combination of laser ranging, satellite positioning technology and digital image technology for study and determination with high accuracy of the true earth surface features in 3 D. Laser scanning data is typically a points cloud on the ground, including coordinates, altitude and intensity of laser from the object on the ground to the sensor (Wehr & Lohr, 1999). Data from laser scanning can produce products such as digital elevation model (DEM), digital surface model (DSM) and the intensity data. In Vietnam, the LiDAR technology has been applied since 2005. However, the application of LiDAR in Vietnam is mostly for topological mapping and DEM establishment using point cloud 3D coordinate. In this study, another application of LiDAR data are present. The study use the intensity image combine with some other data sets (elevation data, Panchromatic image, RGB image) in Bacgiang City to perform land cover classification using neural network method. The results show that it is possible to obtain land cover classes from LiDAR data. However, the highest accurate classification can be obtained using LiDAR data with other data set and the neural network classification is more appropriate approach to conventional method such as maximum likelyhood classification.

The Method of Thermograph using Thermoelectric Sensor Device in the Carbon fiber Thick Films (Carbon fiber 후막형 열전센서 소자를 이용한 적외선 체열진단)

  • Song, Min-Jong;Dong, Kyung-Rae;Kim, Chang-Bok;Choi, Seong-Kwan;Park, Yong-Soon
    • Korean Journal of Digital Imaging in Medicine
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    • v.12 no.2
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    • pp.145-150
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    • 2010
  • Thick films of carbon fiber were prepared by a heating element of plan shape made in Darin co., We have investigated surface morphology of the specimen depending on heat-treatment temperatures. Scanning electron microscope(SEM) image of carbon fiber thick films of the specimen heat treated shows a grain growth at $1200^{\circ}C$ and becomes a poly-crystallization at $1350^{\circ}C$. The variation of resistivity at the thermally annealed specimen above $600^{\circ}C$ depends on type of the substrates. It may be due to a variation of film thickness and a difference of interfacial phenomena. A heating element of features was affected significantly by skin blood and quantity of heat of the body physiological function. After radiation of farinfrared for plate heating element, the function of biometric physiological is considered of skin blood flow and calorie which greatly affects on individuals. Electromagnetic wave was not influence on the body.

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A Handheld Probe Based Optical Coherence Tomography System for Diagnosis of Dental Calculus (치석 진단용 소형 프로브 기반 광간섭단층촬영 시스템)

  • Lee, Chang-Ho;Woo, Chai-Kyoung;Jung, Woong-Gyu;Kang, Hyun-Wook;Oh, Jung-Hwan;Kim, Jee-Hyun
    • Journal of Sensor Science and Technology
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    • v.21 no.3
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    • pp.217-222
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    • 2012
  • Optical coherence tomography(OCT) is a noninvasive optical imaging tool for biomedical applications. OCT can provide depth resolved two/three dimensional morphological images on biological samples. In this paper, we integrated an OCT system that was composed of an SLED(Superluminescent Light Emitting Diode, ${\lambda}_0$=1305 nm bandwith= 141 nm), a reference arm adopting a rapid scanning optical delay line(RSOD) to get high speed imaging, and a sample arm that used a micro electro mechanical systems(MEMS) scanning mirror. The sample arm contained a compact probe for imaging dental structures. The performance of the system was evaluated by imaging in-vivo human teeth with dental calculus, and the results indicated distinct appearance of dental calculus from enamel, gum or decayed teeth. The developed probe and system could successfully confirm the presence of dental calculus with a very high spatial resolution($6{\mu}m$).

The Method of Thermograph using Thermoelectric Sensor Device in the Carbon fiber Thick Films (Carbon fiber 후막형 열전센서 소자를 이용한 적외선 체열진단)

  • Song, M.J.;Kim, M.H.;Ryu, S.M.;Lee, H.S.;Lee, W.J.;Park, C.B.;Choi, W.S.;Kim, T.W.
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2008.04b
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    • pp.1-2
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    • 2008
  • Thick films of Carbon fiber were prepared by a heating element of plan shape made in Darin co.. We have investigated surface morphology of the specimen depending on second heat-treatment temperatures. X-ray diffraction patterns of Carbon fiber thick films show that the specimen heat treated below $600^{\circ}C$ was an amorphous phase and the one heat treated above $1100^{\circ}C$ forms a poly-crystallization. Scanning electron microscope(SEM) image of Carbon fiber thick films of the specimen heat treated in between 900 and $1100^{\circ}C$ shows a grain growth. At $1100^{\circ}C$, the specimen stops grain-growing and becomes a poly-crystallization.

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Hierarchical Object Recognition Algorithm Based on Kalman Filter for Adaptive Cruise Control System Using Scanning Laser

  • Eom, Tae-Dok;Lee, Ju-Jang
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.496-500
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    • 1998
  • Not merely running at the designated constant speed as the classical cruise control, the adaptive cruise control (ACC) maintains safe headway distance when the front is blocked by other vehicles. One of the most essential part of ACC System is the range sensor which can measure the position and speed of all objects in front continuously, ignore all irrelevant objects, distinguish vehicles in different lanes and lock on to the closest vehicle in the same lane. In this paper, the hierarchical object recognition algorithm (HORA) is proposed to process raw scanning laser data and acquire valid distance to target vehicle. HORA contains two principal concepts. First, the concept of life quantifies the reliability of range data to filter off the spurious detection and preserve the missing target position. Second, the concept of conformation checks the mobility of each obstacle and tracks the position shift. To estimate and predict the vehicle position Kalman filter is used. Repeatedly updated covariance matrix determines the bound of valid data. The algorithm is emulated on computer and tested on-line with our ACC vehicle.

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An Analysis of Vibration Characteristics in Ultrasonic Object Levitation Transport System (초음파를 이용한 물체 부상 이송시스템의 진동 특성 해석)

  • Jeong S.H.;Kim H.U.;Choi S.B.;Kim G.H.;Park J.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.415-418
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    • 2005
  • In the semiconductor and optical industry, a new transport system which can replace the conventional transport systems is required. The transport systems are driven by the magnetic field and conveyer belts. The magnetic field may damage semiconductor and the contact force may scratch the optical lens. The ultrasonic wave driven system can solve these problems. In this semiconductor and optical industry, the non-contact system is required fur reducing the damages. The ultrasonic transportation is the solution of the problem. In this paper, the ultrasonic levitation system fur levitating object are proposed. The 3D vibration profiles of the beam are measured by Laser scanning Vibrometer fur verifying the vibration characteristics of the system and the amplitudes of the beam and the levitation heights of object are measured for evaluating the performance.

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Flexural Beam Design of Ultrasonic Object Levitation Slide System (초음파 물체부상 이송시스템의 Flexural Beam 설계)

  • Jeong, Sang-Hwa;Kim, Hyun-Uk;Choi, Suk-Bong;Kim, Kwang-Ho;Park, Jun-Ho
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.959-962
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    • 2005
  • In the semiconductor and optical industry. a new transport system which can replace the conventional transport system is required. The Transport systems are driven by the magnetic field and conveyer belts. The magnetic field may damage semiconductor and the contact force may scratch the optical lens. The ultrasonic wave driven system can solve these problems. In this semiconductor and optical industry, the non-contact system is required for reducing the damages. The ultrasonic transportation is the solution of the problem. In this paper, the ultrasonic levitation system for levitation object are proposed. The 3D vibration profiles of the beam are measured by Laser Scanning Vibrometer for verifying the vibration characteristics of the system and the amplitudes of the beam and the levitation heights of object are measured fore evaluating the performance.

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RPC Model Generation from the Physical Sensor Model (영상의 물리적 센서모델을 이용한 RPC 모델 추출)

  • Kim, Hye-Jin;Kim, Jae-Bin;Kim, Yong-Il
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.4 s.27
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    • pp.21-27
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    • 2003
  • The rational polynomial coefficients(RPC) model is a generalized sensor model that is used as an alternative for the physical sensor model for IKONOS-2 and QuickBird. As the number of sensors increases along with greater complexity, and as the need for standard sensor model has become important, the applicability of the RPC model is also increasing. The RPC model can be substituted for all sensor models, such as the projective camera the linear pushbroom sensor and the SAR This paper is aimed at generating a RPC model from the physical sensor model of the KOMPSAT-1(Korean Multi-Purpose Satellite) and aerial photography. The KOMPSAT-1 collects $510{\sim}730nm$ panchromatic images with a ground sample distance (GSD) of 6.6m and a swath width of 17 km by pushbroom scanning. We generated the RPC from a physical sensor model of KOMPSAT-1 and aerial photography. The iterative least square solution based on Levenberg-Marquardt algorithm is used to estimate the RPC. In addition, data normalization and regularization are applied to improve the accuracy and minimize noise. And the accuracy of the test was evaluated based on the 2-D image coordinates. From this test, we were able to find that the RPC model is suitable for both KOMPSAT-1 and aerial photography.

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