• Title/Summary/Keyword: 축소비

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Image Downscaling Method Optimized for Future Magnification (확대에 최적화 된 영상 축소 방법)

  • Shin, Hyun-Joon;Wee, Young-Cheul
    • Journal of the Korea Computer Graphics Society
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    • v.17 no.1
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    • pp.39-44
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    • 2011
  • In this paper, we introduce a novel method to reduce image to a small size, such that the quality of the image is improved when it is up-scaled. Recent hardwares including cameras and display devices allow us to capture and display high-resolution images. However, it is not always realistic to store and transmit those high-resolution images due to limitation of storage and network bandwidth. Therefore, high-resolution images are often down-scaled to be stored and transmitted, and then up-scaled back for display. To improve final image quality in this scenario, we first formulate selected up-scale methods as linear transformations. The optimal reduction methods are obtained as its inverse transformation. Based on this basic idea, we develop down-scale kernel that is optimized for each up-scale method. In our experiment, the proposed method could improve the quality of the up-scaled image noticeable.

Reduced Degree of Freedom Modeling for Progressive Collapse Analysis of Tall Buildings using Applied Element Method (응용 요소법을 이용한 초고층 건물의 축소 모델링 연쇄붕괴 해석)

  • Kim, Han-Soo;Wee, Hae-Hwan
    • Journal of the Korea Concrete Institute
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    • v.26 no.5
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    • pp.599-606
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    • 2014
  • Since progressive collapse of tall buildings can cause enormous damage, it should be considered during the design phase of tall buildings. The progressive collapse analysis of tall buildings using finite element methods is almost impossible due to the vast amount of computing time. In this paper, applied element method was evaluated as an alternative to the finite element method. Reduced DOFs modeling technique was proposed to enable the progressive collapse analysis of tall buildings. The reduced DOFs model include only the part which is subjected to direct damage from blast load and the structural properties such as mass, transferred load and stiffness of excluded parts are accumulated into the top story of the reduced DOFs model. The proposed modeling technique was applied to the progressive collapse analysis of 20-story RC building using three collapse scenarios. The reduced DOFs model showed similar collapse behavior to the whole model while the computing time was reduced by 30%. The proposed modeling technique can be utilized in the progressive collapse analysis of tall buildings due to abnormal loads.

Reversed Cyclic Latcral Load Test of A 2-Bay 2-Story Reinforced Concrete Frame With Seismic Detail (내진상세를 가진 2경간 2층 철근콘크리트 골조의 반복횡하중 실험)

  • Lee, Han-Seon;Woo, Sung-Woo
    • Magazine of the Korea Concrete Institute
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    • v.8 no.6
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    • pp.183-193
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    • 1996
  • The objective of this study is to investigate the characteristics of elastic and inelastic bekavior of ductile momenting-resisting reinforced concrete frame subjected to reversed lateral loading such as earthquake excitations. For this purpose, a 2-bay 2-story reinforced concrete plane frame with seismic detail was designed and one 1/2.5-scale subassemblage was manufactured according to the required similitude law. Then, the reversed load test under the displacement control was performed statically to this subassemblage. Finally, the results of this test were analysed regarding to (1) the design load vs actual strength, (2) degradation in stiffness and strength. (3) failure mode or energy dissipation. (4) local deformations.

Temporal Prediction of Ice Accretion Using Reduced-order Modeling (차원축소모델을 활용한 시간에 따른 착빙 형상 예측 연구)

  • Kang, Yu-Eop;Yee, Kwanjung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.3
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    • pp.147-155
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    • 2022
  • The accumulated ice and snow during the operation of aircraft and railway vehicles can degrade aerodynamic performance or damage the major components of vehicles. Therefore, it is crucial to predict the temporal growth of ice for operational safety. Numerical simulation of ice is widely used owing to the fact that it is economically cheaper and free from similarity problems compared to experimental methods. However, numerical simulation of ice generally divides the analysis into multi-step and assumes the quasi-steady assumption that considers every time step as steady state. Although this method enables efficient analysis, it has a disadvantage in that it cannot track continuous ice evolution. The purpose of this study is to construct a surrogate model that can predict the temporal evolution of ice shape using reduced-order modeling. Reduced-order modeling technique was validated for various ice shape generated under 100 different icing conditions, and the effect of the number of training data and the icing conditions on the prediction error of model was analyzed.

The Effects of Jawoongo plus Flos Lonicerae on The Artificial Wound on Rats (자운고가(紫雲膏加) 금은화(金銀花)가 흰쥐의 창상(創傷)에 미치는 효과(效果))

  • Yi, Kum-Taik;Choi, Byung-Tae;Lee, Yong-Tae;Ko, Woo-Shin
    • The Journal of Korean Medicine
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    • v.20 no.1 s.37
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    • pp.132-141
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    • 1999
  • 자운고가(紫雲膏加) 금은화(金銀花)가 창상치유과정(創傷治愈過程)에 미치는 영향(影響)을 살펴보고자 혈청중(血淸中)의 Leukocyte, CRP, Cortisol의 변화 및 상처크기의 축소율(縮小率)을 실험(實驗)한 결과 백혈구의 변화에서는 Sample II 가 Control에 비해 감소(減少)의 유의성을 나타내었고 CRP함량(含量)의 변화에서는 뚜렷한 유의성을 나타내지 못하였고 Cortisol함량(含量)의 변화에서는 Sample II 가 Control에 비해 감소(減少)의 유의성을 나타내었지만 Sample III와 비교시에는 Sample III의 감소(減少)의 유의성이 높게 나타났다. 상처(喪妻)의 축소율(縮小率)은 실험 10일과 15일째 Control에 비해 유의성이 인정(認定)되었다. 이상(以上)을 살펴볼 때 자운고가(紫雲膏加) 금은화(金銀花)가 창상치료(創傷治療)에 대해 효과적(效果的)이며 약재(藥材)로서의 효능을 가지고 있음을 알 수 있으나 자운고(紫雲膏)와 비교하였을 때는 금은화(金銀花)의 첨가가 창상치료(創傷治療)애 크게 유의성있는 변화를 나타내지 못하였지만 자운고(紫雲膏)의 단독(單獨) 투여(投與)시보다는 나은 효과를 나타내었으며 앞으로 한방(韓方) 연고(軟膏)의 개발을 위하여 더 많은 연구(硏究)가 필요할 것으로 사료(思料)된다.

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Performance Improvement of Reduced Order Extended Luenberger Observer(ROELO) based Sensorless Vector Control Fed by Matrix Converter With Non-linearity Modeling (비선형모델을 이용한 matrix convertor로 구동되는 축소차원 확장 루엔버거 관측기기반의 유도전동기 센서리스 벡터제어의 성능개선)

  • Lee Kyo-Beum
    • The Transactions of the Korean Institute of Power Electronics
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    • v.10 no.4
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    • pp.363-372
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    • 2005
  • This paper presents an improved sensorless vector control system for high performance induction motor drives fed by a matrix converter with non-linearity compensation. The nonlinear voltage distortion that is caused by commutation delay and on-state voltage drop in switching devices is corrected by a new matrix converter model. A Reduced Order Extended Luenberger Observer (ROELO) is employed to bring better response in the whole speed operation range and a method to select the observer gain is presented. Experimental results are shown to illustrate the performance of the proposed system.

A Shape feature extracting of WBC using UNL Fourier transform (UNL Fourier Transform을 이용한 백혈구 모양 특징 추출)

  • 이성환;김지윤;유채곤;황치정
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.505-507
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    • 2000
  • 현재 백혈병 진단에서 사용중인 방법은 골수영상을 획득하고 이를 관찰하여 비정상의 백혈구의 형태, 백혈구 핵의 크기와 추출된 골수에서의 백혈구가 차지하는 비율을 이용하여 진단하고 있다. 비정상적인 모양을 띠고 있는 백혈구의 검출은 백혈병 진단에 있어 중요한 정보로 사용된다. 백혈구의 이상 형태중 다수의 구멍이 있는 백혈구는 검출하기 위해 골수영상에서 백혈구 영역을 추출하고 이에 대해 UNL transform을 이용하여 모양 특징을추출하였다. UNL Fourier transform은 원영상의 이동(translation), 회전(rotation), 확대/축소(scale)에 대해 불변인 성질을 지니므로 이를 이용해 백혈구의 모양 특징을 추출하고 유사도 검색을 통해 비정상의 백혈구를 검출하였다.

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Implementation of Turbo Decoder Based on Two-step SOVA with a Scaling Factor (비례축소인자를 가진 2단 SOVA를 이용한 터보 복호기의 설계)

  • Kim, Dae-Won;Choi, Jun-Rim
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.11
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    • pp.14-23
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    • 2002
  • Two implementation methods for SOVA (Soft Output Viterbi Algorithm)of Turbo decoder are applied and verfied. The first method is the combination of a trace back (TB) logic for the survivor state and a double trace back logic for the weight value in two-step SOVA. This architecure of two-setp SOVA decoder allows important savings in area and high-speed processing compared with that of one-step SOVA decoding using register exchange (RE) or trace-back (TB) method. Second method is adjusting the reliability value with a scaling factor between 0.25 and 0.33 in order to compensate for the distortion for a rate 1/3 and 8-state SOVA decoder with a 256-bit frame size. The proposed schemes contributed to higher SNR performance by 2dB at the BER 10E-4 than that of SOVA decoder without a scaling factor. In order to verify the suggested schemes, the SOVA decoder is testd using Xillinx XCV 1000E FPGA, which runs at 33.6MHz of the maximum speed with 845 latencies and it features 175K gates in the case of 256-bit frame size.

Feature Parameter Extraction and Speech Recognition Using Matrix Factorization (Matrix Factorization을 이용한 음성 특징 파라미터 추출 및 인식)

  • Lee Kwang-Seok;Hur Kang-In
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.7
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    • pp.1307-1311
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    • 2006
  • In this paper, we propose new speech feature parameter using the Matrix Factorization for appearance part-based features of speech spectrum. The proposed parameter represents effective dimensional reduced data from multi-dimensional feature data through matrix factorization procedure under all of the matrix elements are the non-negative constraint. Reduced feature data presents p art-based features of input data. We verify about usefulness of NMF(Non-Negative Matrix Factorization) algorithm for speech feature extraction applying feature parameter that is got using NMF in Mel-scaled filter bank output. According to recognition experiment results, we confirm that proposed feature parameter is superior to MFCC(Mel-Frequency Cepstral Coefficient) in recognition performance that is used generally.

System Analysis Method Using Composition and Minimization (합성 및 축소화 기법을 이용한 시스템의 해석 방법)

  • Lee, Wan Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.10
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    • pp.2330-2336
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    • 2013
  • Since many man-made systems consist of autonomous and interactive components, it is intrinsically difficult to analyze their abnormal behavior. The logical analysis of such a system is an indispensable process for high quality and reliable system development. In this paper, we propose an analysis method using two algebraic operations, named composition and minimization. Repetitive composition and minimization of component models with respect to a set of important events produces a new analysis model that has the same input output responses to an environment. An analysis example of the alternating bit protocol demonstrates the effectiveness of the proposed method showing that each message generated at the sender side eventually arrives to a receiver.