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Performance Evaluation of a Multistage Interconnection Network with Buffered axa Switches under Hot-spot Environment (핫스팟 상황 하에서 출력 버퍼형 axa 스위치로 구성된 다단 연결망의 성능분석)

  • Kim Jung-Yoon;Shin Tae-Zi;Yang Myung-Kook
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.166-168
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    • 2005
  • 본 논문에서는, axa 출력 버퍼 스위치로 구성된 핫스팟이 발생된 상황 하에서 다단 연결 망(Multistage interconnection Network, MIN)의 성능 예측 모형을 제안하였다. 제안한 성능 예측 오형은 먼저 네트워크 내부 임의 스위치 입력 단에 유입되는 데이터 패킷이 스위치 내부에서 전송되는 유형을 확률적으로 분석하여 설계하였다. 성능분석 모형은 스위치에 장착된 버퍼의 개수와 무관하게 버퍼를 장착한 axa 스위치의 성능, 네트워크 정상상태 처리율(Normalized Throughput, NT)과 네트워크 지연시간(Network Delay)의 예측이 가능하고, 나아가서 이들로 구성진 모든 종류의 다단 연결망 성능 분석에 적용이 용이하다. 제안한 수학적 성능 분석 연구의 실효성 검증을 위하여 병행된 시뮬레이션 결과는 상호 미세한 오차 범위 내에서 모형의 예측 데이터와 일치하는 결과를 보여 분석 모형의 타당성을 입증하였다.

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Face Recognition with Normalized Wavelet Features (정규화된 웨이블렛 특징에 의한 얼굴 인식)

  • Lee, Chan-Ho;Park, Ju-Chul;Choi, Hyung-Il
    • Journal of KIISE:Software and Applications
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    • v.27 no.10
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    • pp.1046-1053
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    • 2000
  • 본 논문에서는 정규화된 웨이블렛 방법에 기반한 얼굴 인식 방법을 제안한다. 추출된 얼굴 영역의 크기를 정규화하고. 배경 영역을 제거하기 위해 이진화된 가우시안 윈도우를 사용하였으며, 또한 조명의 영향을 줄이기 위해 얼굴 영역의 히스토그램을 상세화하고, 왼쪽 부분의 밝기와 오른쪽 부분의 밝기를 평균하였다. 정규화된 얼굴 영역은 극좌표계로 표현하여 사각형의 형태를 가지게 하였다. 특징으로는 가보 웨이블렛 계수를 사용한다. 가보 웨이블렛 변환은 매개 변수와 정규화된 얼굴 영역의 해상도를 바꾸어 가며 여러 차례 적용하였다. 인식에 유용한 계수들을 선택하기 위해 FD 분석을 수행하였다. 선택된 특정들은 FD 값과 함께 인식에 사용되었다. 실험 결과를 보면 제안된 방법이 매우 유망하다는 것을 알 수 있다.

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Rule set of object-oriented classification using Landsat imagery in Donganh, Hanoi, Vietnam

  • Thu, Trinh Thi Hoai;Lan, Pham Thi;Ai, Tong Thi Huyen
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_2
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    • pp.521-527
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    • 2013
  • Rule set is an important step which impacts significantly on accuracy of object-oriented classification result. Therefore, this paper proposes a rule set to extract land cover from Landsat Thematic Mapper (TM) imagery acquired in Donganh, Hanoi, Vietnam. The rules were generated to distinguish five classes, namely river, pond, residential areas, vegetation and paddy. These classes were classified not only based on spectral characteristics of features, but also indices of water, soil, vegetation, and urban. The study selected five indices, including largest difference index max.diff; length/width; hue, saturation and intensity (HSI); normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) based on membership functions of objects. Overall accuracy of classification result is 0.84% as the rule set is used in classification process.

Mismatch-tolerant Capacitor Array Structure for Junction-splitting SAR Analog-to-digital Conversion

  • Lee, Youngjoo;Oh, Taehyoun;Park, In-Cheol
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.17 no.3
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    • pp.387-400
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    • 2017
  • A new junction-splitting based SAR ADC with a redundant searching capacitor array structure in $0.13{\mu}m$ CMOS process to alleviate capacitor mismatch effects, is presented. The normalized average power has a factor of 0.35 to the conventional SAR ADC at 10-bit conversion accuracy. Statistical experiments show the number of missing codes resulting from the mismatch reduces by 95% for 3% unit-capacitor mismatch ratio, while keeping the conversion energy to that of the conventional JS capacitor array.

The Comparison of features for Speech/Music Discrimination (음성/음악 분류를 위한 특징 비교)

  • Lee Kyong Rok;Seo Bong Su;Kim Jin Young
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.157-160
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    • 2000
  • 본 논문에서는 멀티미디어 정보에서 원하는 정보를 추출하는 멀티미디어 인덱싱 중 오디오 인덱싱의 전처리 부격인 음성/음악 분류실험을 하였다. 오디오 인덱싱에 있어서 음성/음악 분류기는 원 오디오 신호에서 정보를 가진 음성 부분을 분리하는 역할을 한다. 실험에서는 음성/음악 분류에서 널리 쓰이는 멜캡스트럼(Mel Cepstrum), 정규화 로그 에너지(normalized log energy), 영교차(Zero-Crossings)를 특징 파라미터로 사용하였다[l, 2, 3]. 특징공간은 GMM(Gaussian Mixture Model)에 의해 모델링 되었고, 오디오 신호의 분류는 각각 3가지 분류항목(음성, 음악, 음성+음악)과 2가지 분류항목(음성, 음악)을 적용하였다. 실험결과 3가지 분류항목 적용시와 2가지 분류항목 적용시 모두 멜캡스트럼을 사용하였을 때 가장 좋은 결과를 보였다.

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Investigation of wind-turbine wake characteristics in ideal turbulent inflow (이상 난류 조건에서의 풍력 터빈 후류 특성 연구)

  • Na, Jisung;Ko, Seungchul;Lee, Joon Sang
    • Journal of the Korean Society of Visualization
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    • v.15 no.3
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    • pp.47-51
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    • 2017
  • In this study, we investigate the wake characteristics in laminar inflow and two different turbulent inflow cases. To solve the flow with wind turbines and its wake, we use large eddy simulation (LES) technique with actuator line method (ALM) and turbulent inflow of Turbsim. We perform the quantitative analysis of velocity deficit and turbulent intensity in laminar inflow case and turbulent inflow case with different turbulent intensity. In turbulent inflow, unsteady strong wake recovery which is highly fluctuated in time. Normalized power in turbulent inflow case is also highly fluctuated with unsteady wake recovery, while that in laminar inflow has quasi steady characteristic in power generation.

Quality Measures for Image Comparison Based on Correlation of Fuzzy Sets

  • Vlachos, Ioannis K.;Sergiadis, George D.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.563-566
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    • 2003
  • Quality measures play an important role in the field of image processing. Such measures are commonly used to assess the performance of different algorithms that are designed to perform a specific image processing task. In this paper we propose two novel measures for image quality assessment based on the notion of correlation between fuzzy sets. Two different definitions fur the correlation between fuzzy sets have been used. In order to calculate the proposed quality measures two approaches were evaluated, one with direct application of the measures to the image′s pixels and the other using the fuzzy set corresponding to the normalized histogram of the image. A comparative study of the proposed measures is performed by investigating their behavior using images with different types of distortions, such as impulsive "salt at pepper" noise, additive white Gaussian noise, multiplicative speckle noise, blurring, gamma distortion, and JPEG compression.

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Iris recognition robust to noises

  • Kim, Jaemin;Jungwoo Won;Seongwon Cho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.42-45
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    • 2003
  • This paper describes a new iris recognition method using shift-invariant subbands. First an iris image is preprocessed to compensate the variation of the iris image. Then, the preprocessed iris image is decomposed into multiple subbands using a shift invariant wavelet transform. The best subband among them, which have rich information for various iris pattern and robust to noises, is selected for iris recognition. The quantized pixels of the best subband yield the feature representation. Experimentally, we show that the proposed method produced superb performance in iris recognition.

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Comparison of Antibiotic Regimens for the Treatment of Community Acquired Pneumonia (원외획득 폐렴 환자치료에서 항생제 regimen 별 효능비교)

  • Moon, Hong-Seop;Choe, In;Lee, Seung-Il
    • Korean Journal of Clinical Pharmacy
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    • v.16 no.2
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    • pp.81-85
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    • 2006
  • Community acquired pneumonia(CAP) is the most prevalent disease among pneumonia patients and progressed to severe pneumonia. A retrospective study was performed to evaluate antibiotic regimens according to guidelines of Infectious Disease Society of America. From January to October 2005, chart review of 50 patients with CAP was peformed in terms of microbiology and laboratory data of each regimen. Temperature, WBC count, ALT, AST and alkaline phosphatase of each patient were examined for liver toxicity. In three patients received levofloxacin appeared to have normalized temperature and improved cough. The patients who received cefmetazole -aminoglycoside appeared to have worsen LFT(Liver function test). Many patients in flomoxef-aminoglycoside group received mechanical ventilation because of the basis diseases like tuberculosis, diabetes mellitus and hypertension. In conclusion, antibiotic therapy for the treatment of CAP should be selected according to tolerance, bacteria and severity of disease.

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Neurofuzzy System for an Intial Ship Design

  • Kim, Soo-Young;Kim, Hyun-Cheol;Lee, Kyung-Sun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.585-590
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    • 1998
  • The purpose of this paper is to develop a neurofuzzy modeling & inference system which can determine principle dimensions and hull factors in an initial ship design. Neurofuzzy modeling & inference for a hull form design (NeFHull) applies the given input-output data to the fuzzy theory. NeFHull also deals the fuzzificated values with neural networks. NeFHull redefines normalized input-output data as membership functions and executes the fuzzficated information with backporpagation-neural -networks. A hybrid learning algorithms utilized in the training of neural networks and examining the usefulness of suggested method through mathematical and mechanical examples.

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