• Title/Summary/Keyword: the continuous method

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Genetic Algorithm Based Continuous-Discrete Optimization and Multi-objective Sequential Design Method for the Gear Drive Design (기어장치 설계를 위한 유전알고리듬 기반 연속-이산공간 최적화 및 다목적함수 순차적 설계 방법)

  • Lee, Joung-Sang;Chong, Tae-Hyong
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.5
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    • pp.205-210
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    • 2007
  • The integration method of binary and real encoding in genetic algorithm is proposed to deal with design variables of various types in gear drive design. The method is applied to optimum design of multi-stage gear drive. Integer and Discrete type design variables represent the number of teeth and module, and continuous type design variables represent face width, helix angle and addendum modification factor etc. The proposed genetic algorithm is applied for the gear ratio optimization and the volume optimization(minimization) of multi-stage geared motor which is used in field. In result, the proposed design optimization method shows an effectiveness in optimum design process and the new design has a better results compared with the existing design.

A PERSONAL AUTHENTICATION FROM VIDEO USING HANDHELD CAMERA BY PARAMETRIC EIGENSPACE METHOD

  • Morizumi, Yusuke;Matsuo, Kenji;Kubota, Akira;Hatori, Yoshinori
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.628-631
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    • 2009
  • In this paper, we proposed a new authentication method using video that was taken during moving a hand-held camera in front of the face. The proposed method extracted individuality from the obtained image sequences using the parametric eigenspace scheme. Changes of facial appearance through authentication trials draw continuous tracks in the low dimensional igenspace. The similarity between their continuous tracks are calculated by DP-matching to verify their identities. Experimental results confirmed that different motions and persons change the shapes of continuous tracks, so the proposed method could identify the person.

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Analysis of the Behaviors of Continuous parts in Continuous PSC Girders Bridges (PSC 연속 거더교의 연속화부 거동에 관한 해석적 연구)

  • 구민서;김훈희;정영도
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2002.10a
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    • pp.404-411
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    • 2002
  • The PSC 2-span-continuous-bridge by Up-Down Method on construction process is used for this research. It is measured the strain of lower-steel-plate at continuous section on the active range of negative moment at the stage of introducing compressive stress to bottom-plate and compared with results of structural analysis. On the basis of these results, it is confirmed the introduced compressive stress tか bottom-plate. The object of this research is presenting the degree of continuity at the stage of lifting up process.

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Grid-based Semantic Cloaking Method for Continuous Moving Object Anonymization (이동 객체 정보 보호를 위한 그리드 기반 시멘틱 클로킹 기법)

  • Zhang, Xu;Shin, Soong-Sun;Kim, Gyoung-Bae;Bae, Hae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.3
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    • pp.47-57
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    • 2013
  • Location privacy has been a serious concern for mobile users who use location-based services to acquire geographical location continuously. Spatial cloaking technique is a well-known privacy preserving method, which blurs an exact user location into a cloaked area to meet privacy requirements. However, cloaking for continuous moving object suffers from cloaked area size problem as it is unlikely for all objects travel in the same direction. In this paper, we propose a grid-based privacy preservation method with an improved Earth Mover's Distance(EMD) metric weight update scheme for semantic cloaking. We also define a representative cloaking area which protects continuous location privacy for moving users. Experimental implementation and evaluation exhibit that our proposed method renders good efficiency and scalability in cloaking processing time and area size control. We also show that our proposed method outperforms the existing method by successfully protects location privacy of continuous moving objects against various adversaries.

A Study on the Safety Assessment of the Continuous Prestressed Concrete Beam Bridge (연속 프리스트레스트 콘크리트 빔교의 안전성 평가에 관한 연구)

  • 채원규
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 1997.05a
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    • pp.31-36
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    • 1997
  • In this thesis, the safety assessment method of the continuous prestressed beam bridge using the service load were studied. From the field test results of the continuous prestressed beam bridge, CAE(composite action factor) and $P_{n}$(capacity load of bridge) were assessed, and these factors were applied to safety assessment of the continuous prestressed beam bridge.

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A surface extension method using several functions

  • 김회섭
    • Proceedings of the Korean Society of Computational and Applied Mathematics Conference
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    • 2003.09a
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    • pp.3.2-3
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    • 2003
  • We propose a method of surface extension method using several functions. Interpolation theory is well developed in curve and surface. But extrapolation theory is not well developed because it is not unique outside the useful domain. It requires continuous, first derivative, second derivative continuous extension for matching in NC(Numerical Control) machine. In the past, we generate data outside the useful area and refit those data using least squares method. this has some problems which have some errors within the useful area. We keep the useful area and extend the unuseful area by a function

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Small signal stability analysis of power systems with non-continuous operating elements by using RCF method : Modeling of the state transition equation (불연속 동작특성을 갖는 전력계통의 RCF법을 사용한 미소신호 안정도 해석 : 상태천이 방정식으로의 모델링)

  • Kim Deok Young
    • Proceedings of the KIEE Conference
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    • summer
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    • pp.342-344
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    • 2004
  • In conventional small signal stability analysis, system is assumed to be invariant and the state space equations are used to calculate the eigenvalues of state matrix. However, when a system contains switching elements such as FACTS devices, it becomes non-continuous system. In this case, a mathematically rigorous approach to system small signal stability analysis is by means of eigenvalue analysis of the system periodic transition matrix based on discrete system analysis method. In this research, RCF(Resistive Companion Form) method is used to analyse small signal stability of a non-continuous system including switching elements'. Applying the RCF method to the differential and integral equations of power system, generator, controllers and FACTS devices including switching elements should be modeled in the form of state transition matrix. From this state transition matrix eigenvalues which are mapped to unit circle can be calculated.

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Determination of Optimum Heating Regions for Thermal Prestressing Method Using Artificial Neural Network (인공신경망을 이용한 온도프리스트레싱 공법의 적정 가열구간 설정에 관한 연구)

  • 김상효;김준환;김강미
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.04a
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    • pp.327-334
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    • 2003
  • Thermal Prestressing Method for continuous composite girder bridges is a new design and construction method developed to induce initial composite stresses in the concrete slab at negative bending regions. Due to the induced initial stresses, prevention of tensile cracks at concrete slab, reduction of steel girder section, and reduction of reinforcing bars are possible. Thus, economical and construction efficiency can be improved. Method for determining optimum heating region of Thermal Prestressing Method, has not been established although such method is essential for increasing efficiency of the designing process. Trial-and-error method used in previous studies is far from efficient and more rational method for computing optimal heating region is required. In this study, efficient method for determining optimum heating region in the use of Thermal Prestressing Method is developed based on artificial neural network algorithm, which is widely adopted to pattern recognition, optimization, diagnosis, and estimation problems in various fields. Back-propagation algorithm, which is commonly used as a learning algorithm in neural network problems, is used for training of the neural network. Through case studies of 2-span continuous and 3-span continuous composite girder bridges using the developed process, the optimal heating regions are obtained.

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CONTINUOUS SHADOWING AND INVERSE SHADOWING FOR FLOWS

  • Lee, Keonhee;Lee, Manseob;Lee, Zoonhee
    • Journal of the Chungcheong Mathematical Society
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    • v.20 no.3
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    • pp.297-310
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    • 2007
  • The notions of continuous shadowing and inverse shadowing for flows are introduced, and show that an expansive flow on a compact manifold with the shadowing property has the continuous shadowing property. Moreover it is proved that the continuous shadowing property implies the inverse shadowing property.

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An Efficient Processing of Continuous Range Queries on High-Dimensional Spatial Data (고차원 공간 데이터를 위한 연속 범위 질의의 효율적인 처리)

  • Jang, Su-Min;Yoo, Jae-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.6
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    • pp.397-401
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    • 2007
  • Recent applications on continuous queries on moving objects are extended quickly to various parts. These applications need not only 2-dimensional space data but also high-dimensional space data. If we use previous index for overlapped continuous range queries on high-dimensional space data, as the number of continuous range queries on a large number of moving objects becomes larger, their performance degrades significantly. We focus on stationary queries, non-exponential increase of storage cost and efficient processing time for large data sets. In this paper, to solve these problems, we present a novel query indexing method, denoted as PAB(Projected Attribute Bit)-based query index. We transfer information of high-dimensional continuous range query on each axis into one-dimensional bit lists by projecting technique. Also proposed query index supports incremental update for efficient query processing. Through various experiments, we show that our method outperforms the CES(containment-encoded squares)-based indexing method which is one of the most recent research.