• Title/Summary/Keyword: Complex Images

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DEVELOPMENT STATUS OF THE DOTIFS DATA SIMULATOR AND THE REDUCTION PACKAGE

  • CHUNG, HAEUN;RAMAPRAKASH, A.N.;PARK, CHANGBOM
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.675-677
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    • 2015
  • A data simulator and reduction package for the Devasthal Optical Telescope Integral Field Spectrograph (DOTIFS) has been developed. Since data reduction for the Integral Field Spectrograph (IFS) requires complicated procedures due to the complex nature of the integral spectrograph, common reduction procedures are usually not directly applicable for such an instrument. Therefore, the development of an optimized package for the DOTIFS is required. The data simulator observes artificial object and simulates CCD images for the instrument considering various effects; e.g. atmosphere, sky background, transmission, spectrograph optics aberration, and detector noise. The data reduction package has been developed based on the outcomes from the DOTIFS data simulator. The reduction package includes the entire processes for the reduction; pre-processing, flat-fielding, and sky subtraction. It generates 3D data cubes as a final product, which users can use for science directly.

The magnetic properties of ferrite for chip-induotor about 2GMz (2GHz 대역 Chip-Inductor용 자성재료의 자기적 특성)

  • 정승우;김태원;최우성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.11a
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    • pp.205-208
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    • 1999
  • We have studied properties(crystal structure, density, absorption, contraction, initial permeability, and permeability) of Ba$\sub$0.2/Me$\sub$0.31/Fe$\sub$0.49/(Me:Ni$\sub$1-x/, Cu$\sub$x/ x=0~1) ferrites with various Me site, because of development of magnetic materials for inductor. As a results of the density, absorption rate, and shrinkage rate, the sintering temperature of Ba$\sub$0.2/ Me$\sub$0.31/ FEesub 0.49/(Me:Ni$\sub$1-x/ x=0.25, 0.75) had got over 1100$^{\circ}C$ for 3 hours. According to SEM images, the configurations of grain were hexagonal, Increasing the sintering temperature, initial Permeability increased. The complex permeabilities as a function of for several MHz showed constants.

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Luminance Analysis of the Apartment Exterior Lighting using HDR Images (HDR이미지를 이용한 공동주택 외부조명의 휘도 분석)

  • Hong, Sung-De;Shin, Eun-Ju
    • Journal of The Korean Digital Architecture Interior Association
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    • v.12 no.2
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    • pp.33-38
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    • 2012
  • The purpose of luminance measurement in lighting design of urban scale is to prevent light trespass and light pollution, caused by over-bright. Specially, the illumination of road, tunnel and sports complex as urban infrastructure is measured by international standard for illuminance and luminance. It has been used the spot luminance meter and the image photometer to define the characteristics of qualitative and quantitative in exterior lighting. This study introduced the concept of HDR Image, procedure of HDR Image creation and analysis. Applications of HDR Image, particularly within the apartment building exterior lighting design analysis, have been demonstrated. The procedure proposed in this study is a affordable method that is useful for the assessment of luminance distribution in the scene with electric light. It also provides a measurement capability with the high resolution luminance data within a large field of view efficiently and quickly, which is not possible to achieve with a luminance meter.

Moving image coding with variablesize block based on the segmentation of motion vectors (움직임 벡터의 영역화에 의한 가변 블럭 동영상 부호화)

  • 김진태;최종수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.3
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    • pp.469-480
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    • 1997
  • For moving image coding, the variable size of region coding based on local motion is more efficient than fixed size of region coding. It can be applied well to complex motions and is more stable for wide motions because images are segmented according to local motions. In this paper, new image coding method using the segmentation of motion vectors is proposed. First, motion vector field is smoothed by filtering and segmented by smoothed motion vectors. The region growing method is used for decomposition of regions, and merging of regions is decided by motion vector and prediction errors of the region. Edge of regions is excluded because of the correlation of image, and neighbor motion vectors are used evaluation of current block and construction of region. The results of computer simulation show the proposed method is superior than the existing methods in aspect of coding efficiency.

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Guided-Wave Tomographic Imaging of Plate Defects by Laser-Based Ultrasonic Techniques

  • Park, Junpil;Lim, Juyoung;Cho, Younho
    • Journal of the Korean Society for Nondestructive Testing
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    • v.34 no.6
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    • pp.435-440
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    • 2014
  • Contact-guided-wave tests are impractical for investigating specimens with limited accessibility and rough surfaces or complex geometric features. A non-contact setup with a laser-ultrasonic transmitter and receiver is quite attractive for guided-wave inspection. In the present work, we developed a non-contact guided-wave tomography technique using the laser-ultrasonic technique in a plate. A method for Lamb-wave generation and detection in an aluminum plate with a pulsed laser-ultrasonic transmitter and Michelson-interferometer receiver was developed. The defect shape and area in the images obtained using laser scanning, showed good agreement with the actual defect. The proposed approach can be used as a non-contact online inspection and monitoring technique.

GPU-based Object Extraction for Real-time Analysis of Large-scale Radar Signal (대규모 레이더 신호 데이터의 실시간 분석을 위한 GPU 기반 객체 추출 기법)

  • Kang, Young-Min
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1297-1309
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    • 2016
  • In this paper, an efficient connected component labeling (CCL) method was proposed. The proposed method is based on GPU parallelism. The CCL is very important in various applications where images are analysed. However, the label of each pixel is dependent on the connectivity of adjacent pixels so that it is not very easy to be parallelized. In this paper, a GPU-based parallel CCL techniques were proposed and applied to the analysis of radar signal. Since the radar signals contains complex and large data, the efficiency of the algorithm is crucial when realtime analysis is required. The experimental results show the proposed method is efficient enough to be successfully applied to this application.

Development of Mobile 3D Terrain Viewer with Texture Mapping of Satellite Images

  • Kim, Seung-Yub;Lee, Ki-Won
    • Korean Journal of Remote Sensing
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    • v.22 no.5
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    • pp.351-356
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    • 2006
  • Based on current practical needs for geo-spatial information on mobile platform, the main theme of this study is a design and implementation of dynamic 3D terrain rendering system using spaceborne imagery, as a kind of texture image for photo-realistic 3D scene generation on mobile environment. Image processing and 3D graphic techniques and algorithms, such as TIN-based vertex generation with regular spacing elevation data for generating 3D terrain surface, image tiling and image-vertex texturing in order to resolve limited resource of mobile devices, were applied and implemented by using graphic pipeline of OpenGL|ES (Embedded System) API. Through this implementation and its tested results with actual data sets of DEM and satellite imagery, we demonstrated the realizable possibility and adaptation of complex typed and large sized 3D geo-spatial information in mobile devices. This prototype system can be used to mobile 3D applications with DEM and satellite imagery in near future.

Integrating Spatial Proximity with Manifold Learning for Hyperspectral Data

  • Kim, Won-Kook;Crawford, Melba M.;Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.26 no.6
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    • pp.693-703
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    • 2010
  • High spectral resolution of hyperspectral data enables analysis of complex natural phenomena that is reflected on the data nonlinearly. Although many manifold learning methods have been developed for such problems, most methods do not consider the spatial correlation between samples that is inherent and useful in remote sensing data. We propose a manifold learning method which directly combines the spatial proximity and the spectral similarity through kernel PCA framework. A gain factor caused by spatial proximity is first modelled with a heat kernel, and is added to the original similarity computed from the spectral values of a pair of samples. Parameters are tuned with intelligent grid search (IGS) method for the derived manifold coordinates to achieve optimal classification accuracies. Of particular interest is its performance with small training size, because labelled samples are usually scarce due to its high acquisition cost. The proposed spatial kernel PCA (KPCA) is compared with PCA in terms of classification accuracy with the nearest-neighbourhood classification method.

GaN-based Ultraviolet Passive Pixel Sensor for UV Imager

  • Lee, Chang-Ju;Hahm, Sung-Ho;Park, Hongsik
    • Journal of Sensor Science and Technology
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    • v.28 no.3
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    • pp.152-156
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    • 2019
  • An ultraviolet (UV) image sensor is an extremely important optoelectronic device used in scientific and medical applications because it can detect images that cannot be obtained using visible or infrared image sensors. Because photodetectors and transistors are based on different materials, conventional UV imaging devices, which have a hybrid-type structure, require additional complex processes such as a backside etching of a GaN epi-wafer and a wafer-to-wafer bonding for the fabrication of the image sensors. In this study, we developed a monolithic GaN UV passive pixel sensor (PPS) by integrating a GaN-based Schottky-barrier type transistor and a GaN UV photodetector on a wafer. Both individual devices show good electrical and photoresponse characteristics, and the fabricated UV PPS was successfully operated under UV irradiation conditions with a high on/off extinction ratio of as high as $10^3$. This integration technique of a single pixel sensor will be a breakthrough for the development of GaN-based optoelectronic integrated circuits.

Real-Time Cattle Action Recognition for Estrus Detection

  • Heo, Eui-Ju;Ahn, Sung-Jin;Choi, Kang-Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.4
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    • pp.2148-2161
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    • 2019
  • In this paper, we present a real-time cattle action recognition algorithm to detect the estrus phase of cattle from a live video stream. In order to classify cattle movement, specifically, to detect the mounting action, the most observable sign of the estrus phase, a simple yet effective feature description exploiting motion history images (MHI) is designed. By learning the proposed features using the support vector machine framework, various representative cattle actions, such as mounting, walking, tail wagging, and foot stamping, can be recognized robustly in complex scenes. Thanks to low complexity of the proposed action recognition algorithm, multiple cattle in three enclosures can be monitored simultaneously using a single fisheye camera. Through extensive experiments with real video streams, we confirmed that the proposed algorithm outperforms a conventional human action recognition algorithm by 18% in terms of recognition accuracy even with much smaller dimensional feature description.