• Title/Summary/Keyword: 다중기준최적화

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암모니아 합성반응기의 다중성 및 최적화

  • 이성준;함재용;이현구
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.377-382
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    • 1989
  • 암모니아 합성을 위한 다단식급냉반응기를 대상으로 물질 및 에너지보존법칙을 적용하여 수식모델을 전개하였다. 실제 4단 반응기의 설계 및 운전자료를 기준으로 하여 정상상태의 다중성을 해석하고 각 촉매층의 체적비와 반응물의 공급유량비에 대한 최적화 연구를 수행한 결과 실제 조업조건하에서 3개의 서로 다른 정상상태가 존재하며 실제 설계 및 조업조건은 최적조건을 다소 완화한 조건에 상당한 것임을 확인하였다.

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An Optimization of distributed Hydrologic Model using Multi-Objective Optimization Method (다중최적화기법을 이용한 분포형 수문모형의 최적화)

  • Kim, Jungho;Kim, Taegyun
    • Journal of Wetlands Research
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    • v.21 no.1
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    • pp.1-8
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    • 2019
  • In this study, the multi-objective optimization method is attemped to optimize the hydrological model to estimate the runoff through two hydrological processes. HL-RDHM, a distributed hydrological model that can simultaneously estimate the amount of snowfall and runoff, was used as the distributed hydrological model. The Durango River basin in Colorado, USA, was selected as the watershed. MOSCEM was used as a multi-objective optimization method and parameter calibration and hydrologic model optimization were tried by selecting 5 parameters related to snow melting and 13 parameters related to runoff. Data from 2004 to 2005 were used to optimize the model and verified using data from 2001 to 2004. By optimizing both the amount of snow and the amount of runoff, the RMSE error can be reduced from 7% to 40% of the simulation value based on the initial solution at three SNOTEL points based on the RMSE. The USGS observation point of the outflow is improved about 40%.

Decision Criterion for Weak M-ary Signals: Part 2. Application to UWB Multiple Access Systems (약한 다진 신호에 알맞은 결정 기준: 2부. 초광대역 다중접속 시스템에의 응용)

  • Oh, Jong-Ho;Lee, Ju-Mi;Bae, Jin-Soo;Koo, Jin-Kyu;Song, Iick-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.1C
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    • pp.1-7
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    • 2006
  • Based on the new detection criterion proposed in Part 1 for the detecton of weak M-ary signals, a detection scheme for ultra wideband multiple access systems is investigated in the presence of impulsive interference. Simulation results show that the proposed detector, requiring less complexity, possesses almost the same performance as the maximum likelihood detector. In impulsive interference, the proposed detector also offers performance improvement over the detector optimized for Gaussian environment.

Sparse and low-rank feature selection for multi-label learning

  • Lim, Hyunki
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.7
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    • pp.1-7
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    • 2021
  • In this paper, we propose a feature selection technique for multi-label classification. Many existing feature selection techniques have selected features by calculating the relation between features and labels such as a mutual information scale. However, since the mutual information measure requires a joint probability, it is difficult to calculate the joint probability from an actual premise feature set. Therefore, it has the disadvantage that only a few features can be calculated and only local optimization is possible. Away from this regional optimization problem, we propose a feature selection technique that constructs a low-rank space in the entire given feature space and selects features with sparsity. To this end, we designed a regression-based objective function using Nuclear norm, and proposed an algorithm of gradient descent method to solve the optimization problem of this objective function. Based on the results of multi-label classification experiments on four data and three multi-label classification performance, the proposed methodology showed better performance than the existing feature selection technique. In addition, it was showed by experimental results that the performance change is insensitive even to the parameter value change of the proposed objective function.

A Study on the Optimization Method of Building Envelope using Non-linear Programming (비선형계획법을 이용한 건물의 외피최적화 방법)

  • Won, Jong-Seo;Lee, Kyung-Hoi
    • KIEAE Journal
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    • v.3 no.2
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    • pp.17-24
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    • 2003
  • The purpose of this study is to present rational methods of multi-criteria optimization of the envelope of buildings. The object is to determine the optimum R-value of the envelope of a building, based on the following criteria: minimum building costs (including the cost of materials and construction) and yearly heating costs. Mathematical model described heat losses and gains in a building during the heating season. It takes into consideration heat losses through wall, roof, floor and windows. Particular attention was paid to have a more detailed description of heat gains due to solar radiation. On the assumption that shape of building is rectangle in order to solve the problem, optimum R-value of the envelope of a building is determined by using non-linear programing methods(Kuhn-Tucker Conditions). The results constitute information for designers on the optimum R-value of a building envelope for energy saving buildings.

Multiple Description Video Coding Using Rate-Distortion Optimized DCT Coefficient Splitting (비트율-왜곡 최적화된 DCT 계수 분할을 이용한 다중 표현 동영상 압축 방법)

  • Kim, Il-Koo;Cho, Nam-Ik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.6
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    • pp.565-574
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    • 2002
  • We propose an algorithm for the robust transmission of video in error prone environment based on multiple description (MD) scheme and simple rate-distortion operators. The redundancy rate-distortion (RRD) criteria is used to split a one-layer compressed video stream into two correlated descriptions. The proposed algorithm can find more candidate points on the RRD curve than the conventional RRD based methods. A new distortion measure is also defined in this paper, which considers more realistic error environments. Since the proposed MD video coder is based on the standard H.263 coder, each description can be decoded independently by the standard H.263 decoder. Also, several descriptions can be decoded into a single stream by additional merge stage and the H.263 decoder. Simulation results show that the proposed MD video coder yields better performance than the conventional MD splitting algorithm at all bitrates both in single and two description cases.

A New Design of Trisection Band-Pass Filter Based on Electromagnetic Simulation (EM 시뮬레이션을 기반으로 한 트라이섹션 대역 통과 여파기의 새로운 설계)

  • Kim, So-Su;Yeom, Kyung-Whan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.12
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    • pp.1086-1096
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    • 2011
  • In this paper, we present the trisection band-pass filter with a transmission zero at 2.63 GHz, which has a center frequency of 2.44 GHz, relative bandwidth of 5 %, and return loss of 18 dB, based on a multi-port ElectroMagnetic simulation. The coupling matrix for the trisection filter is calculated and this filter is transformed into band-pass filter prototype through a lossless 2-port circuit transformation. The J-inverter values and slope parameters of each individual resonator are computed using an EM simulation Y-parameters of the filter with multi port. The dimensions of desired filter are determined by matching the computed J-inverter and susceptance slope parameters to those of the prototype band-pass filter. Undesired cross-couplings are found to occur which does not appear in the prototype trisection filter. To overcome the problem of undesired couplings, the filter was optimized to satisfy the same frequency response of prototype filter. The validity of the proposed design method was verified through the implementation of the designed and optimized filter.

The analysis of error characteristics in self-imaging and improved optimization of waveguide structure for multi-mode interference devices (자아결상원리의 오차 해석을 통한 다중모드간섭기의 최적화)

  • 홍정무;오범환;이승걸;이일항;우덕하;김선호
    • Korean Journal of Optics and Photonics
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    • v.13 no.1
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    • pp.38-43
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    • 2002
  • Simple principles of self-imaging in Multi-Mode Interference (MMI) devices are based on the approximation of propagation constants. The analysis of the basic nature of the self-imaging principle reveals the problems of previous optimization methods, and provides a new scheme to optimize the external variables for the reconciliation of approximation problems by considering two different tendencies of approximation effects. Furthermore, the representative mode method is proposed to make the application easy. This optimization method provides an essential method for stable design and fabrication of MMI devices with improved characteristics.

Optimization for Concurrent Spare Part with Simulation and Multiple Regression (시뮬레이션과 다중 회귀모형을 이용한 동시조달수리부속 최적화)

  • Kim, Kyung-Rok;Yong, Hwa-Young;Kwon, Ki-Sang
    • Journal of the Korea Society for Simulation
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    • v.21 no.3
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    • pp.79-88
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    • 2012
  • Recently, the study in efficient operation, maintenance, and equipment-design have been growing rapidly in military industry to meet the required missions. Through out these studies, the importance of Concurrent Spare Parts(CSP) are emphasized. The CSP, which is critical to the operation and maintenance to enhance the availability, is offered together when a equipment is delivered. Despite its significance, th responsibility for determining the range and depth of CSP are done from administrative decision rather than engineering analysis. The purpose of the paper is to optimize the number of CSP per item using simulation and multiple regression. First, the result, as the change of operational availability, was gained from changing the number of change in simulation model. Second, mathematical regression was computed from the input and output data, and the number of CSP was optimized by multiple regression and linear programming; the constraint condition is the cost for optimization. The advantage of this study is to respond with the transition of constraint condition quickly. The cost per item is consistently altered in the development state of equipment. The speed of analysis, that simulation method is continuously performed whenever constraint condition is repeatedly altered, would be down. Therefore, this study is suitable for real development environment. In the future, the study based on the above concept improves the accuracy of optimization by the technical progress of multiple regression.

Optimization of Temporal Skip Factor for Scene Change Detection in Video Sequence (동영상내에서의 장면 전환 검출 간격의 최적화)

  • 하명환;나윤정;이상길
    • Journal of Broadcast Engineering
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    • v.3 no.2
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    • pp.146-154
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    • 1998
  • 시간적 표본화를 채택한 다중경로방법에 의한 장면전환 검출방법은 전 동영상에 대해 매 프레임마다 순차적으로 검색하는 방법에 비해서 빠르며, 동일한 정확성을 갖고 있다. 그러나, 검출 시간을 최소화하기 위한 적절한 검출 간격을 선택하는 어떠한 기준이나 방법도 제시되지 않았으며 검출 간격을 경험에 의해 선택할 수밖에 없다. 이 논문에서는 장면 전환 검출 시간, 검출 간격과 실제 장면 전환 간격으로부터 검출 시간을 최소화하는 최적 검출 간격을 얻을 수 있음을 보였다. 평균 장면 전환 간격이 알려져 있지 않은 동영상에 대해서 최적 검출 간격을 추정할 수 있는 알고리듬을 제안하였다.

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