• Title/Summary/Keyword: Detail component

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Adaptive Histogram Projection And Detail Enhancement for the Visualization of High Dynamic Range Infrared Images

  • Lee, Dong-Seok;Yang, Hyun-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.11
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    • pp.23-30
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    • 2016
  • In this paper, we propose an adaptive histogram projection technique for dynamic range compression and an efficient detail enhancement method which is enhancing strong edge while reducing noise. First, The high dynamic range image is divided into low-pass component and high-pass component by applying 'guided image filtering'. After applying 'guided filter' to high dynamic range image, second, the low-pass component of the image is compressed into 8-bit with the adaptive histogram projection technique which is using global standard deviation value of whole image. Third, the high-pass component of the image adaptively reduces noise and intensifies the strong edges using standard deviation value in local path of the guided filter. Lastly, the monitor display image is summed up with the compressed low-pass component and the edge-intensified high-pass component. At the end of this paper, the experimental result show that the suggested technique can be applied properly to the IR images of various scenes.

Extraction of Runoff Component from Stage in Tidal River Using Wavelet Transform (Wavelet Transform을 이용한 감조하천 수위자료의 유출성분 추출)

  • Oh, Chang-Ryeol;Lee, Jin-Won;Jung, Sung-Won;Park, Sung-Chun
    • Journal of Korea Water Resources Association
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    • v.40 no.10
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    • pp.793-800
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    • 2007
  • This research applied to Wavelet transform that have soft resolution time and frequency area for stage of Hadong2 station in order to extract to discharge component by rainfall and tidal level component by tide. Approximation component(A6) of last level for wavelet decomposition displayed the biggest energy value 87.77%, and detail component(D3) energy value was 10.70% with periodicity of semidiurnal tide type(about 12 hours). Also skewness, kurtosis values of D3 have similar to tidal level of Yeosu. Approximation component(A6), Detail component(D6, D5) for Hadong2 stage was runoff component, and detail component(D4, D3, D2) was tide component according to effect of tide.

Developing Object Oriented Designs from Component-and-Connector Architectures (C&C 아커텍처 기반의 객체지향 설계)

  • Park, Hyoung-Iel;Kang, Sung-Won;Choi, Yoon-Seok;Lee, Dan-Hyeong
    • Journal of KIISE:Software and Applications
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    • v.34 no.4
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    • pp.317-327
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    • 2007
  • In this paper, a systematic approach of developing detail 00 designs from Component-and-Connector Architectures (CCAs) is proposed. In this approach, an intermediate model between the architecture model and the detail design model specified with class diagrams or sequence diagrams is introduced to narrow the wide gap between the two abstraction levels. Once a CCA is designed, candidate classes and their relationships are identified per each architectural element. In order to show the efficacy of this approach, we apply it to an industry software development project and verify that quality attributes supported by the CCA are equally maintained by the detail design.

Application of Nonlinear Dynamics and Wavelet Theory for Discharge and Water Quality Data in Youngsan River Basin (영산강 유역의 유출량 및 수질자료에 대한 비선형 동역학과 웨이블렛 이론의 적용)

  • Oh, Chang-Ryeol;Jin, Young-Hoon;Park, Sung-Chun
    • Journal of Korean Society on Water Environment
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    • v.23 no.4
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    • pp.551-560
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    • 2007
  • The present study analyzed noise reduction and long/short-term components for discharge, TOC concentration, and TOC load data in order to understand the data characteristics better. For the purpose, wavelet transform which can reduce noise from raw data and has flexible resolution in time and frequency domain was applied and the theory of nonlinear dynamics was also used to determine the last decomposition level for wavelet transform. Wavelet function of 'db10' and the 7th level for the last decomposition of wavelet transform were applied for the all data in the present study. Also the results revealed that the energy ratios of approximation components with 187-hour periodicity decomposed from 7th level of wavelet transform were 94.71% (discharge), 99.00% (TOC concentration), and 93.84% (TOC load), respectively. In addition, the energy ratios of detail components showed the range between 1.00% and 6.17%, which were extremely small comparing to the energy ratios of approximation components, therefore, the first and second detail components might be considered as noise components included in the raw data.

Accuracy of structural computation on simplified shape

  • Marin, P.
    • Structural Engineering and Mechanics
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    • v.35 no.2
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    • pp.127-140
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    • 2010
  • This paper focuses on a number of criteria that enable controlling the influence of geometric simplification on the quality of finite element (FE) computations. To perform the mechanical simulation of a component, the corresponding geometric model typically needs to be simplified in accordance with hypotheses adopted regarding the component's mechanical behaviour. The method presented herein serves to compute an a posteriori indicator for the purpose of estimating the significance of each feature removal. This method can be used as part of an adaptive process of geometric simplification. If a shape detail removed during the shape simplification process proves to be influential on mechanical behaviour, the particular detail can then be reinserted into the simplified model, thus making it possible to readapt the initial simulation model. The fields of application for such a method are: static problems involving linear elastic behaviour, and linear thermal problems with stationary conduction.

Regional Division of Korea by Precipitation Days and Annual Change Pattern (강수일과 그 연변화형에 의한 한국의 지역구분)

  • Park, Hyun-Wook
    • Journal of Environmental Science International
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    • v.4 no.5
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    • pp.1-1
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    • 1995
  • An attempt was made to study the subdivision of Korea by the annual amount and the annual change pattern of monthly precipitation days(that is one of the important elements of the precipitation characteristics), using the mean values for the years 1961-1990 at the 68 stations. The amplitudes of annual change were normalized and using these values, the principal component analysis was applied to determine the annual change patterns. The results show that they are expressed by the combinations of the three change patterns in almost whole regions of Korea. As a result,the annual change pattern of precipitation days in Korea is classified into 8 types from A to e,in detail, 36 types from A0 to e$\circled2$.And regional division of precipitation days in Korea is divided into 13 regions from I a to IIIC,into detail, 41 regions from I no to IIICl.

Regional Division of Korea by Precipitation Days and Annual Change Pattern (강수일과 그 연변화형에 의한 한국의 지역구분)

  • 박현욱
    • Journal of Environmental Science International
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    • v.4 no.5
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    • pp.387-402
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    • 1995
  • An attempt was made to study the subdivision of Korea by the annual amount and the annual change pattern of monthly precipitation days(that is one of the important elements of the precipitation characteristics), using the mean values for the years 1961-1990 at the 68 stations. The amplitudes of annual change were normalized and using these values, the principal component analysis was applied to determine the annual change patterns. The results show that they are expressed by the combinations of the three change patterns in almost whole regions of Korea. As a result, the annual change pattern of precipitation days in Korea is classified into 8 types from A to e, in detail, 36 types from A0 to e$\circled2$.And regional division of precipitation days in Korea is divided into 13 regions from I a to IIIC, into detail, 41 regions from I no to IIICl.

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Reduced wavelet component energy-based approach for damage detection of jacket type offshore platform

  • Shahverdi, Sajad;Lotfollahi-Yaghin, Mohammad Ali;Asgarian, Behrouz
    • Smart Structures and Systems
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    • v.11 no.6
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    • pp.589-604
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    • 2013
  • Identification of damage has become an evolving area of research over the last few decades with increasing the need of online health monitoring of the large structures. The visual damage detection can be impractical, expensive and ineffective in case of large structures, e.g., offshore platforms, offshore pipelines, multi-storied buildings and bridges. Damage in a system causes a change in the dynamic properties of the system. The structural damage is typically a local phenomenon, which tends to be captured by higher frequency signals. Most of vibration-based damage detection methods require modal properties that are obtained from measured signals through the system identification techniques. However, the modal properties such as natural frequencies and mode shapes are not such good sensitive indication of structural damage. Identification of damaged jacket type offshore platform members, based on wavelet packet transform is presented in this paper. The jacket platform is excited by simple wave load. Response of actual jacket needs to be measured. Dynamic signals are measured by finite element analysis result. It is assumed that this is actual response of the platform measured in the field. The dynamic signals first decomposed into wavelet packet components. Then eliminating some of the component signals (eliminate approximation component of wavelet packet decomposition), component energies of remained signal (detail components) are calculated and used for damage assessment. This method is called Detail Signal Energy Rate Index (DSERI). The results show that reduced wavelet packet component energies are good candidate indices which are sensitive to structural damage. These component energies can be used for damage assessment including identifying damage occurrence and are applicable for finding damages' location.

Study on the Prediction of Daily TOC Data by Using Wavelet Transform and Artificial Neural Networks (웨이블렛 변환과 인공신경망을 이용한 일 TOC 자료의 예측에 관한 연구)

  • Gwak, Pil Jeong;Oh, Chang Ryol;Jin, Young Hoon;Park, Sung Chun
    • Journal of Korean Society on Water Environment
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    • v.22 no.5
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    • pp.952-957
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    • 2006
  • The present study applied wavelet transform and artificial neural networks (ANNs) for the prediction of daily TOC data. TOC data were transformed into denoised data by the wavelet transform and the noise-reduced data were used for the prediction model by artificial neural networks. For the application of wavelet transform, Daubechies wavelet of order 10 ('db10') was used as a basis function and decomposed the TOC data up to fifth level with five detail components and one approximation component. ANNs were calibrated with the input data of the segregated TOC data corresponding to the details from second to fifth level and the approximation. Consequently, the ANNs model for the prediction of daily TOC data showed the best result when it had seventeen hidden nodes in its layer.

Connector Automatic Creation for Component Assembly (컴포넌트 조립을 위한 커넥터 자동 생성)

  • Chae, Eun-Ju;Han, Jung-Soo;Baek, Soon-Wha
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.408-411
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    • 2004
  • In this paper, connector that connect component in paper that serve to assemble without method call or alteration of component offered research of automatic creation. Connector is produced automatically by justice of component port, detail and architecture structure. Through produced connector, component is assembled.

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