• Title/Summary/Keyword: 부밴드 특징

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An Efficient Pattern Partitioning Method in Multi-dimensional Feature Space (다차원 특징 공간에서의 효울적 패턴 분할 기법)

  • Kim, Jin-Il
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.3
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    • pp.833-841
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    • 1998
  • The ann of this study is 10 propose all eff'tcient mclhod for partition of multi-dimensIOnal feature space into pattern subspace for automated generation of fuzzy rule. The suggested mclhod predicates on sequential subdivision of the fuzzy subspacc. and the size of construc1cd pattern space is variable. Under this procedure, n-dimensional pattern space, after considering the distributional characteristic patterns, is partitioned into two different pattern subspaces. From the two subspaces, the pattern space for further subdivision is chosen; then, this subdivision procedure recursively repeats itself until the stopping condition is fulfilled. The result of this study is applied to 2, 4, 7 band of satellite Landsat TM and satisfac10ry result is acquired.

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A Study of the on-Line Surface Roughness Monitoring using the Cutting Force in Face Milling Operation (정면밀링작업에서 절삭력을 이용한 On-Line 표면조도 감시에 관한 연구)

  • Baek, Dae Kyun;Ko, Tae Jo;Kim, Hee Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.1
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    • pp.185-193
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    • 1997
  • This paper presents the on-line monitoring of the surface roughness in a face milling operation. The cut- ting force was used to monitor the surface roughness, since the insert run-outs not only deteriorate surface roughness but also change cutting force. AR model and band energy method were taken to extract the fea- tures from the cutting force. The features extracted from AR modelling are more accurate about the moni- toring than those from band energy method, whereas, the computing speed of the former is slow. An artifi- cal neural network discriminated the level of the surface roughness by using the features extracted via signal processing.

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Content-based Image Retrieval using the Color and Wavelet-based Texture Feature (색상특징과 웨이블렛 기반의 질감특징을 이용한 영상 검색)

  • 박종현;박순영;조완현;오일석
    • Journal of KIISE:Databases
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    • v.30 no.2
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    • pp.125-133
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    • 2003
  • In this paper we propose an efficient content-based image retrieval method using the color and wavelet based texture features. The color features are obtained from soft-color histograms of the global image and the wavelet-based texture features are obtained from the invariant moments of the high-pass sub-band through the spatial-frequency analysis of the wavelet transform. The proposed system, called a color and texture based two-step retrieval(CTBTR), is composed of two-step query operations for an efficient image retrieval. In the first-step matching operation, the color histogram features are used to filter out the dissimilar images quickly from a large image database. The second-step matching operation applies the wavelet based texture features to the retained set of images to retrieve all relevant images successfully. The experimental results show that the proposed algorithm yields more improved retrieval accuracy with computationally efficiency than the previous methods.

A Study on Selection of Optimal Satellite Imagery by Disaster Type (재해 유형별 최적 위성 영상 선정에 관한 연구)

  • Lim, SoMang;Kang, Ki-mook;Yu, WanSik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.279-279
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    • 2021
  • 위성영상정보는 센서의 종류, 취득, 분석, 재난과 위성영상 특성 매칭 등의 제약으로 재난 상황에서 제한적으로 사용되었다. 일반적으로 인공위성의 종류는 탑재한 센서의 정보제공 능력 범위에 따라 분류 가능하며 이에 따라 대상 범위가 결정된다. 본 연구에서는 재난의 예측, 탐지, 사후처리를 위한 위성자료의 취득과 활용을 위해 다양한 위성과 탑재된 센서의 궤도, 공간 해상도, 파장대 등의 특성에 대하여 분석하고 재난유형별로 최적 위성영상을 선정하였다. 행정안전부에서는 재난과 재해의 유형을 자연재난(10종)과 사회재난(27종)으로 분류하였다. 위성영상 활용이 가능한 재난 유형은 가시적으로 확인이 가능한 자연재난에 해당하며 그 중 태풍, 홍수, 가뭄, 산불 등 총 4종의 재난유형별로 가용한 최적의 위성영상을 분석하였다. 재난관측에 사용 가능한 대표적인 탑재체의 종류는 극궤도 지구관측 위성에서 광학과 SAR로 구분할 수 있다. 각 기본 특성에 따라 제공되는 정보의 종류가 분류되며 광학 센서는 태양복사 및 지구복사에너지 파장 영역 중 가시광선-근적외선-단파적외선-열적외선 파장대 영역의 분광 정보를 제공할 수 있는 다중 밴드들로 구성된다. 지표의 특정 대상이나 물질을 탐지하고 변화를 감지·분석하는데 유용하여 홍수, 태풍, 지진 등 자연 및 사회 재난·재해 관측에 유용하게 이용된다. SAR 센서는 장파장의 전자기파를 방출한 후 돌아오는 신호를 활용하여 대상에 대한 정보를 획득한다. 대기의 효과 및 요소를 투과하는 주파수 대역별 장파장 밴드 정보를 활용하여 고해상도의 대상 표면, 위치, 형태 등의 정보를 측량 및 관측하므로 중·광역 지역에 제약 없이 영상정보를 획득할 수 있어 산사태, 홍수, 지진, 등의 재난 모니터링에 유용하다. 이러한 다종 위성별 센서들의 특징(공간 해상도, 파장대별 밴드 특성, 관측폭, 재방문 주기 등)들을 분석하여 재난유형별로 가용한 무료/상용 지구관측위성을 분류한 결과 태풍에는 광역관측, 정지궤도 위성, 홍수에는 광학 및 SAR 고해상도 위성, 가뭄은 광역관측, 다분광 광학 위성 그리고 산불에는 정지궤도, 광학, SAR 위성이 적합함을 알 수 있다.

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Global R&D Trends of GaN Electronic Devices (GaN 전자소자 글로벌 연구개발 동향)

  • Mun, J.K.;Bae, S.B.;Chang, W.J.;Lim, J.W.;Nam, E.S.
    • Electronics and Telecommunications Trends
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    • v.27 no.1
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    • pp.74-85
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    • 2012
  • 차세대 화합물 반도체 플랫폼으로 각광을 받고 있는 GaN 전자소자 글로벌 연구개발 동향에 관하여 기술하고자 한다. GaN 전자소자는 와이드 밴드갭(Eg=3.4eV)과 고온 안정성($700^{\circ}C$) 등 재료적인 특징으로 인하여 고출력 RF 전력증폭기와 고전력용 전력반도체 응용에 큰 장점을 가진다. GaN 전자소자 기술동향에서는 먼저 미국, 유럽, 일본을 중심으로 한 대형 국책 연구프로젝트 분석을 통한 RF 전력증폭기 연구개발 방향을 살펴보고, 후반부에서는 이동통신 기지국, 선박 및 군용 레이더 트랜시버용 고출력 RF 전력증폭기의 응용 분야에 관하여 알아본다. 이러한 총체적인 동향분석을 통하여 차세대 반도체의 신시장 개척과 선진입을 위한 GaN 전자소자의 연구개발 방향과 조기상용화의 중요성을 함께 생각해보고자 한다.

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Satellite Image Analysis of Convective Cell in the Chuseok Heavy Rain of 21 September 2010 (2010년 9월 21일 추석 호우와 관련된 대류 세포의 위성 영상 분석)

  • Kwon, Tae-Yong;Lee, Jeong-Soon
    • Korean Journal of Remote Sensing
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    • v.29 no.4
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    • pp.423-441
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    • 2013
  • On 21 September 2010, one of Chuseok holidays in Korea, localized heavy rainfalls occurred over the midwestern region of the Korean peninsula. In this study MTSAT-2 infrared and water vapor channel imagery are examined to find out some features which are obvious in each stage of the life cycle of convective cell for this heavy rain event. Also the kinematic and thermodynamic features probably associated with them are investigated. The first clouds related with the Chuseok heavy rain are detected as low-level multicell cloud (brightness temperature: $-15{\sim}0^{\circ}C$) in the middle of the Yellow sea at 1630~1900 UTC on 20 Sept., which are probably associated with the convergence at 1000 hPa. Convective cells are initiated in the vicinity of Shantung peninsula at 1933 UTC 20, which have developed around the edge of the dark region in water vapor images. At two times of 0033 and 0433 UTC 21 the merging of two convective cells happens near midwestern coast of the peninsula and then they have developed rapidly. From 0430 to 1000 UTC 21, key features of convective cell include repeated formation of secondary cell, slow horizontal cloud motion, persistence of lower brightness temperature ($-75{\sim}-65^{\circ}C$), and relatively small cloud size (${\leq}-50^{\circ}C$) of about $30,000km^2$. Radar analysis showed that this heavy rain is featured by a narrow line-shaped rainband with locally heavy rainrate (${\geq}50$ mm/hr), which is located in the south-western edge of the convective cell. However there are no distinct features in the associated synoptic-scale dynamic forcing. After 1000 UTC 21 the convective cell grows up quickly in cloud size and then is dissipated. These satellite features may be employed for very short range forecast and nowcasting of mesoscale heavy rain system.

The Study on Weldability of Boron Steel and Hot-Stamped Steel by Using Laser Heat Source (II) - Laser Weldability of Hot Stamping Steel with Ultra-High Strength - (레이저 열원을 이용한 보론강 및 핫스탬핑강의 용접특성에 관한 연구 (II) - 초고강도 핫스탬핑강의 레이저 용접특성 -)

  • Kim, Jong Do;Choi, So Young;Park, In Duck
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.12
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    • pp.1373-1377
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    • 2014
  • Hot-stamping is a method of obtaining ultrahigh-strength steel by simultaneously forming and cooling boron steel in a press die after it has been heated at $900^{\circ}C$ or above. After heat treatment, boron steel has a strength of 1500 MPa or more. This material ensures a high level of quality because it overcomes the spring-back phenomenon, which is a problem associated with high-strength steel materials, and the degree of dimensional precision is improved by 90 or more because of the good formability compared with existing types of steel. In this study, the welding characteristics were identified through the butt and lap welding of hot-stamped steel using a disk laser. Full penetration was obtained at a faster speed with butt welding compared to lap welding, and a white band was observed in every specimen.

Review of the Weather Hazard Research: Focused on Typhoon, Heavy Rain, Drought, Heat Wave, Cold Surge, Heavy Snow, and Strong Gust (위험기상 분야의 지난 연구를 뒤돌아보며: 태풍, 집중호우, 가뭄, 폭염, 한파, 강설, 강풍을 중심으로)

  • Chang-Hoi Ho;Byung-Gon Kim;Baek-Min Kim;Doo-Sun R. Park;Chang-Kyun Park;Seok-Woo Son;Jee-Hoon Jeong;Dong-Hyun Cha
    • Atmosphere
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    • v.33 no.2
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    • pp.223-246
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    • 2023
  • This paper summarized the research papers on weather extremes that occurred in the Republic of Korea, which were published in the domestic and foreign journals during 1963~2022. Weather extreme is defined as a weather phenomenon that causes serious casualty and property loss; here, it includes typhoon, heavy rain, drought, heat wave, cold surge, heavy snow, and strong gust. Based on the 2011~2020 statistics in Korea, above 80% of property loss due to all natural disasters were caused by typhoons and heavy rainfalls. However, the impact of the other weather extremes can be underestimated rather than we have actually experienced; the property loss caused by the other extremes is hard to be quantitatively counted. Particularly, as global warming becomes serious, the influence of drought and heat wave has been increasing. The damages caused by cold surges, heavy snow, and strong gust occurred over relatively local areas on short-term time scales compared to other weather hazards. In particularly, strong gust accompanied with drought may result in severe forest fires over mountainous regions. We hope that the present review paper may remind us of the importance of weather extremes that directly affect our lives.

Automatic selection method of ROI(region of interest) using land cover spatial data (토지피복 공간정보를 활용한 자동 훈련지역 선택 기법)

  • Cho, Ki-Hwan;Jeong, Jong-Chul
    • Journal of Cadastre & Land InformatiX
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    • v.48 no.2
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    • pp.171-183
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    • 2018
  • Despite the rapid expansion of satellite images supply, the application of imagery is often restricted due to unautomated image processing. This paper presents the automated process for the selection of training areas which are essential to conducting supervised image classification. The training areas were selected based on the prior and cover information. After the selection, the training data were used to classify land cover in an urban area with the latest image and the classification accuracy was valuated. The automatic selection of training area was processed with following steps, 1) to redraw inner areas of prior land cover polygon with negative buffer (-15m) 2) to select the polygons with proper size of area ($2,000{\sim}200,000m^2$) 3) to calculate the mean and standard deviation of reflectance and NDVI of the polygons 4) to select the polygons having characteristic mean value of each land cover type with minimum standard deviation. The supervised image classification was conducted using the automatically selected training data with Sentinel-2 images in 2017. The accuracy of land cover classification was 86.9% ($\hat{K}=0.81$). The result shows that the process of automatic selection is effective in image processing and able to contribute to solving the bottleneck in the application of imagery.

Analysis of calcium fluoride single crystal grown by the czochralski method (초크랄스키 방법으로 성장한 CaF2 단결정 분석)

  • Lee, Ha-Lin;Na, Jun-Hyuck;Park, Mi-Seon;Jang, Yeon-Suk;Jung, Hea-Kyun;Kim, Doo-Gun;Lee, Won-Jae
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.32 no.6
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    • pp.219-224
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    • 2022
  • CaF2 single crystal has a large band gap (12 eV), and it is used for optical windows, prisms, and lenses due to its excellent transmittance in a wide wavelength range and low refractive index. Moreover, it is expected to be one of the materials for ultraviolet transmissive laser optical components. CaF2 belongs to the fluoride compounds and has a face-centered cubic (FCC) structure with three sub-lattices. The representative method for CaF2 single crystal growth is Czochralski, which method has the advantages of high production efficiency and the ability to make large crystals. In this study, X-ray diffraction (XRD), X-ray rocking curves (XRC) measurement, and chemical etching were performed to analyze the crystallinity and defect density of the CaF2 single crystals, grown by the Czochralski method. Fourier-transform infrared spectroscopy (FT-IR) and UV-VIS-NIR spectroscopy systems were used to investigate the optical properties of the CaF2 crystal. The provability of various applications, including UV application, was systematically investigated with various analysis results.