• 제목/요약/키워드: Improved entropy

검색결과 126건 처리시간 0.026초

Efficient Image Chaotic Encryption Algorithm with No Propagation Error

  • Awad, Abir;Awad, Dounia
    • ETRI Journal
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    • 제32권5호
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    • pp.774-783
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    • 2010
  • Many chaos-based encryption methods have been presented and discussed in the last two decades, but very few of them are suitable to secure transmission on noisy channels or respect the standard of the National Institute of Standards and Technology (NIST). This paper tackles the problem and presents a novel chaos-based cryptosystem for secure transmitted images. The proposed cryptosystem overcomes the drawbacks of existing chaotic algorithms such as the Socek, Xiang, Yang, and Wong methods. It takes advantage of the increasingly complex behavior of perturbed chaotic signals. The perturbing orbit technique improves the dynamic statistical properties of generated chaotic sequences, permits the proposed algorithm reaching higher performance, and avoids the problem of error propagation. Finally, many standard tools, such as NIST tests, are used to quantify the security level of the proposed cryptosystem, and experimental results prove that the suggested cryptosystem has a high security level, lower correlation coefficients, and improved entropy.

비압축성과 압축성 유동에 있어서 비점성 유동과 경계층 유동의 결합 (Matching inviscid and boundary layer method for incompressible and compressible flows)

  • 손창현;문수연;이정윤
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.1966-1971
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    • 2003
  • Matching inviscid and boundary layer methods are developed for hypersonic flow with thick boundray layer. The new equations match all the boundary layer properties with a variation in the inviscid solution near the edge, except for the normal velocity. Computational comparison are performed for incompressible and compressible flows over a flat plate. Results from the present method are compared with Navier-Stokes solutions. The present results are in good agreement with Navier-Stokes solutions. They show that the new technique can provide improved heating rates and skin friction predictions for preliminary design of vehicles where shear layers and entropy layer swallowing are important.

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모션 벡터의 각도 성분 추정을 통한 카메라 움직임 검출 (Camera Motion Detection Using Estimation of Motion Vector's Angle)

  • 김재호;이장훈;장소은
    • 한국멀티미디어학회논문지
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    • 제21권9호
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    • pp.1052-1061
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    • 2018
  • In this paper, we propose a new algorithm that is robust against the effects of objects that are relatively unaffected by camera motion and can accurately detect camera motion even in high resolution images. First, for more accurate camera motion detection, a global motion filter based on entropy of a motion vector is used to distinguish the background and the object. A block matching algorithm is used to find exact motion vectors. In addition, a matched filter with the angle of the ideal motion vector of each block is used. Motion vectors including 4 kinds of diagonal direction, zoom in, and zoom out are added additionally. The experiment shows that the precision, recall, and accuracy of camera motion detection compared to the recent results is improved by 12.5%, 8.6% and 9.5%, respectively.

극초음속 유동장의 경계층 해석 (Boundary Layer Analysis in a Hypersonic Flow Field)

  • 손창현;최승;문수연;김재영;이열화
    • 한국군사과학기술학회지
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    • 제7권3호
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    • pp.165-173
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    • 2004
  • Matching inviscid and boundary layer methods are developed for analysis of hypersonic flow with thick boundary layer. The new equations match all the boundary layer properties with a variation in the inviscid solution near the edge, except for the normal velocity. Computational comparison are peformed for incompressible and compressible flows over a flat plate. Results from the present method are compared with Wavier-Stokes solutions. The present results are in good agreement with Wavier-Stokes solutions. They show that the new technique can provide improved predictions of heating rates and skin friction predictions for preliminary design of vehicles where shear layers and entropy layer swallowing are importantfor for preliminary design.

다층신경망의 학습능력 향상을 위한 학습과정 및 구조설계 (A multi-layed neural network learning procedure and generating architecture method for improving neural network learning capability)

  • 이대식;이종태
    • 경영과학
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    • 제18권2호
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    • pp.25-38
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    • 2001
  • The well-known back-propagation algorithm for multi-layered neural network has successfully been applied to pattern c1assification problems with remarkable flexibility. Recently. the multi-layered neural network is used as a powerful data mining tool. Nevertheless, in many cases with complex boundary of classification, the successful learning is not guaranteed and the problems of long learning time and local minimum attraction restrict the field application. In this paper, an Improved learning procedure of multi-layered neural network is proposed. The procedure is based on the generalized delta rule but it is particular in the point that the architecture of network is not fixed but enlarged during learning. That is, the number of hidden nodes or hidden layers are increased to help finding the classification boundary and such procedure is controlled by entropy evaluation. The learning speed and the pattern classification performance are analyzed and compared with the back-propagation algorithm.

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고해상도의 바이스펙트럼을 추정하기 위한 개선된 매개변수 방법 (An Improved Parametric Estimation Method of High-Resolution Bispectrum)

  • 박소현;안종구
    • The Journal of the Acoustical Society of Korea
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    • 제14권2E호
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    • pp.19-24
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    • 1995
  • 측정된 신호의 길이가 짧은 경우, 높은 해상도의 전력스펙트럼을 추정하는 매개변수 방법으로 최대 엔트로피 방법이 있다. 바이스펙트럼을 추정하기 위한 매개변수 방법은 최근에 제안되었는데 표본화한 데이터의 길이가 약 1000 정도의 비교적 짧은 신호에 적용할 경우 좋은 해상도를 얻기 어렵다. 이 논문에서는 위와 같은 비교적 짧은 신호에 대해서도 높은 해상도의 바이스펙트럼을 추정할 수 있는 방법을 제안하였다.

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특별한 형태의 자료에 대한 확장된 Fuzzy 집락분석방법에 관한 연구 (A Study of an Extended Fuzzy Cluster Analysis on Special Shape Data)

  • 임대혁
    • 산업경영시스템학회지
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    • 제25권6호
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    • pp.36-41
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    • 2002
  • We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering concept is involved so much that for a certain set of data, the main purpose of the clustering cannot be attained as desired. Thus we propose a new objective function, named as Fuzzy-Entroppy Function in order to satisfy the main motivation of the clustering which is classifying the data clearly. Also we suggest Mean Field Annealing Algorithm as an optimization algorithm rather than the ISODATA used traditionally in this field since the objective function is changed. we show the Mean Field Annealing Algorithm works pretty well not only for the new objective function but also for the classical Fuzzy objective function by indicating that the local minimum problem resulted from the ISODATA can be improved.

율왜곡 최적기법을 이용한 JPEG-2000의 에러강인 엔트로피부호화 (JPEG-2000 Based Error Resilient Entropy Coding Using Rate-Distortion Optimization)

  • 한성욱;최윤식
    • 한국통신학회논문지
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    • 제29권4C호
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    • pp.541-549
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    • 2004
  • 본 논문에서는 채널용량이 제한되고 에러에 민감한 무선환경을 고려하여 압축율이 기존의 방식보다 크고, 에러에 강인한 JPEG-2000 압축 표준을 기반으로 하여 새로운 EREC 기법을 적용한 에러강인 부호화를 제안하였다. JPEG-2000의 웨이브렛 변환 기반 내장형부호화기법(EBCOT)이 가지고 있는 슬롯 당 고정 비트율은, 율왜곡(R-D) 최적화에 의하여 가변 비트율로 변환하였고 여기에 EREC 기법을 적용하였다. 모의실험은 제안된 방법이 기존의 채널 코딩과 블록 경계 표시 헤드를 이용한 기존방법보다 특히 낮은 비트율에서 더욱 좋은 에러보정 능력을 보이는 것을 검증하였다.

압축성 유동의 수치해석 및 수치해법 개발(BGK 기법의 적용) (Numerical simulation and development of scheme for compressible flows(Application of BGK method))

  • 신동신;김종암;노오현
    • 한국추진공학회지
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    • 제5권1호
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    • pp.1-9
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    • 2001
  • 표준 BGK수치기법을 개선한 기법 1과 기법 2를 개발하였다. 기법 1은 Osher의 Godunov 형태의 해를 사용하며, 기법 2는 기법 1의 문제점을 해결하도록 개발되었다. 개발된 기법들을 다양한 문제에 적용한 결과 이러한 수치기법이 엔트로피 조건, 양수 보존성 등을 지니고 있어 정확하고 강건한 수치기법임을 알 수 있었다. 특히, 기법 2는 기법 1의 단점을 극복하였을 뿐만 아니라 기존의 수치기법에서 찾아볼 수 없는 우수한 성질을 가지고 있어 다양한 문제에 활발하게 적용될 것으로 기대된다.

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Effect of Axial Spacing between the Components on the Performance of a Counter Rotating Turbine

  • Subbarao, Rayapati;Govardhan, Mukka
    • International Journal of Fluid Machinery and Systems
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    • 제6권4호
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    • pp.170-176
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    • 2013
  • Counter Rotating Turbine (CRT) is an axial turbine with a nozzle followed by a rotor and another rotor that rotates in the opposite direction of the first one. Axial spacing between blade rows plays major role in its performance. Present work involves computationally studying the performance and flow field of CRT with axial spacing of 10, 30 and 70% for different mass flow rates. The turbine components are modeled for all the three spacing. Velocity, pressure, entropy and Mach number distributions across turbine stage are analyzed. Effect of spacing on losses and performance in case of stage, Rotor1 and Rotor2 are elaborated. Results confirm that an optimum axial spacing between turbine components can be obtained for the improved performance of CRT.