• 제목/요약/키워드: discrete component

검색결과 188건 처리시간 0.026초

DCT 질감 블록 계수를 이용한 강인한 블라인드 워터마킹 (Robust Blind Watermarking using DCT Texture Block Coefficient)

  • 신용달;박경남
    • 한국산업정보학회논문지
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    • 제13권4호
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    • pp.108-114
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    • 2008
  • 본 논문은 DCT 질감블록계수를 이용한 강인한 블라인드 워터마킹을 제안하였다. 제안 방법에서는 다양한 외부 공격에 강인하도록 하기 위해서 $8\times8$ 블록 DCT 주파수 영역 계수 값의 절대값을 이용한 질감 블록 계수를 기준으로 $8\times8$ 블록 DCT의 직류성분에 모든 워터마크를 삽입하였다. 제안 방법의 성능을 확인하기 위해서 컴퓨터 시뮬레이션을 수행한 결과 제안 방법이 기존의 방법보다 비가시성 측면 및 다양한 외부 공격인 Dithering, Scaling, Cropping에서 매우 강인함을 확인하였다.

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지하역사 기본 모델에 대한 여객 유동 특성 해석 (Analysis of Pedestrian Flow Characteristics in Subway Station)

  • 남성원
    • 한국철도학회논문집
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    • 제9권3호
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    • pp.271-276
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    • 2006
  • Insight into behaviour of pedestrians as welt as tools to assess passenger flow condition is important in such instances as planning and geometric design of railway station under regular and safety-critical circumstances. Algorithm for passenger flow analysis based on DEM (Discrete Element Method) is newly developed. There are lots of similarity between particle-laden two phase flow and passenger flow. The velocity component of 1st phase corresponds to the unit vector of calculation cell, each particle to passenger, volume fraction to population density and the particle velocity to the walking velocity, etc. And, the walking velocity of passenger is also represented by the function of population density. Key algorithms are developed to determine the position of passenger, population density and numbering to each passenger. To verify the effectiveness of new algorithm, passenger flow analysis for the basic models of railway station is conducted.

퍼지를 적용한 계약망 프로토콜 기반의 네트워크 보안 모델의 설계 및 시뮬레이션 (Modeling and simulation of CNP-applied network security models with application of fuzzy rule-based system)

  • 이진아;조대호
    • 한국시뮬레이션학회논문지
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    • 제14권1호
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    • pp.9-18
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    • 2005
  • Attempts to attack hosts in the network have become diverse, due to crackers developments of new creative attacking methods. Under these circumstances the role of intrusion detection system as a security system component gets considerably importance. Therefore, in this paper, we have suggested multiple intrusion detection system based on the contract net protocol which provides the communication among multiple agents. In this architecture, fuzzy rule based system has been applied for agent selection among agents competing for being activated. The simulation models are designed and implemented based on DEVS formalism which is theoretically well grounded means of expressing discrete event simulation models.

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시스템 형식론에 의한 사용자 인터페이스 시스템 표현과 DEVS 모델링 (System Theoretic Representation of UI System and DEVS Modeling)

  • 김은하;조대호
    • 한국시뮬레이션학회논문지
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    • 제8권4호
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    • pp.137-154
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    • 1999
  • In this paper, we propose a software design method that will track the effects of modifications in a component to the rest of the components in the design phase. The prediction of the effects due to the design modifications before coding can be a valuable aid for the complex and large software development. Within the method, the target system is represented by the structured I/O system level specification which is one of the system representation level defined by the system theory. Then it is abstracted to the I/O system level. The DEVS (Discrete Event System Specification) model is constructed based on tile I/O system level specification. Finally, the DEVS model is simulated to generate the behavior of the software by the abstract simulator in DEVS simulation environment. As an application, the graphic user interface system of a metal grating production scheduling system is presented.

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얼굴인증 방법들의 조명변화에 대한 견인성 연구 (Study On the Robustness Of Four Different Face Authentication Methods Under Illumination Changes)

  • 고대영;천영하;김진영;이주헌
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2036-2039
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    • 2003
  • This paper focuses on the study of the robustness of face authentication methods under illumination changes. Four different face authentication methods are tried. These methods are as follows; Principal Component Analysis, Gaussian Mixture Models, 1-Dimensional Hidden Markov Models, 2-Dimensional Hidden Markov Models. Experiment results involving an artificial illumination change to face images are compared with each others. Face feature vector extraction method based on the 2-Dimensional Discrete Cosine Transform is used. Experiments to evaluate the above four different face authentication methods are carried out on the Olivetti Research Laboratory(ORL) face database. For the pseudo 2D HMM, the best EER (Equal Error Rate) performance is observed.

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디지틀 필터를 이용한 브러시리스 직류 전동기용 센서리스 드라이브의 성능 향상에 관한 연구 (Performance Enhancement of Sensorless Drive for Brushless DC Motors using Digital Filter)

  • 여형기;김태형;박정배;이광운;유지윤
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제48권2호
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    • pp.63-68
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    • 1999
  • This pper describes a digital sensorless drive of permanent magnet brushless DC motors. In order to detect in real time the rotor positions of which Emf becomes zero, terminal voltages are sampled during PWM duty cycle. This method generates detection error in indirect sensed position, which is the harmonic component of PWM frequency. In this paper, the drive adopted Butterworth low pass filter for rejection of the sensing error and for accurate estimation of commutation time. Analytical design process of the digital filter is proposed and the experimental results show that the performance of the proposed sensorless drive is superior to that of the sensorless drives without filterint.

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The Frequency Characteristics of Elastic Wave by Crack Propagation of SiC/SiC Composites

  • Kim, J.W.;Nam, K.W.
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 추계학술대회 논문집
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    • pp.110-114
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    • 2012
  • We studied on the nondestructive evaluation of the elastic wave signal of SiC ceramics and SiC/SiC composite ceramics under monotonic tensile loading. The elastic wave signal of cross and unidirectional SiC/SiC composite ceramics were obtained by pencil lead method and bending test. It was applied for the time-frequency method which used by the discrete wavelet analysis algorithm. The time-frequency analysis provides time variation of each frequency component involved in a waveform, which makes it possible to evaluate the contribution of SiC fiber frequency. The results were compared with the characteristic of frequency group from SiC slurry and fiber. Based on the results, if it is possible to shift up and design as a higher frequency group, we will can make the superior material better than those of exiting SiC/SiC composites.

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Stochastic Project Scheduling Simulation System (SPSS III)

  • Lee Dong-Eun
    • 한국건설관리학회논문집
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    • 제6권1호
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    • pp.73-79
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    • 2005
  • This paper, introduces a Stochastic Project Scheduling Simulation system (SPSS III) developed by the author to predict a project completion probability in a certain time. The system integrates deterministic CPM, probabilistic PERT, and stochastic Discrete Event Simulation (DES) scheduling methods into one system. It implements automated statistical analysis methods for computing the minimum number of simulation runs, the significance of the difference between independent simulations, and the confidence interval for the mean project duration as well as sensitivity analysis method in What-if analyzer component. The SPSS 111 gives the several benefits to researchers in that it (1) complements PERT and Monte Carlo simulation by using stochastic activity durations via a web based JAVA simulation over the Internet, (2) provides a way to model a project network having different probability distribution functions, (3) implements statistical analyses method which enable to produce a reliable prediction of the probability of completing a project in a specified time, and (4) allows researchers to compare the outcome of CPM, PERT and DES under different variability or skewness in the activity duration data.

얼굴 영상의 주파수 특성을 이용한 얼굴 인식 (Face Recognition Using Frequency Characteristics of Facial Images)

  • 최진;정윤수;유장희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.395-396
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    • 2006
  • 본 논문에서는 얼굴 인식의 성능을 효율적으로 향상시키기 위하여 Discrete Cosine Transform (DCT)와 Principal Component Analysis(PCA)에 기반한 새로운 특징 추출 방법을 제안한다. 얼굴 영상의 공간 영역은 DCT를 이용하여 주파수 영역으로 변환되며, DCT 도메인에서 얼굴 영상이 갖는 고유한 주파수 특성을 최적화 하는 주파수 밴드 영역을 추출한다. 차원이 축소된 데이터는 PCA 를 이용하여 데이터의 변별력에 가장 적합한 얼굴의 특징을 추출하고 Nearest Neighbor Classification 을 통해 본인여부를 확인 한다. 실험 결과 제안된 방법은 데이터의 차원을 효과적으로 축소하면서 기존의 얼굴 인식 방법에 비해 높은 인식률 향상을 보였다.

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Application of Wavelet Transform to Problems in Ocean Engineering

  • KWON SUN-HONG;LEE HEE-SUNG;PARK JUN-SOO
    • 한국해양공학회지
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    • 제17권3호
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    • pp.1-6
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    • 2003
  • This study presents the results of series of studies, which are mainly devoted to the application of wavelet transforms to various problems in ocean engineering. Both continuous and discrete wavelet transforms were used. These studies attempted to solve detection of wave directionality, detection of wave profile, and decoupling of the rolling component from free roll decay tests. The results of these analysis, using wavelet transform, demonstrated that the wavelet transform can be a useful tool in analyzing many problems in the filed of ocean engineering.