• Title/Summary/Keyword: Minimization Technique

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Closed-form Nonlinear Least-Squares Source Localization from Time-Difference of Arrival Measurements in Planar Space (평면공간에서 다중 센서간 도달 시간차를 이용한 해석적인 최소제곱오차 음원 위치 추정 방법)

  • Shin, Dong-Hoon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.4
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    • pp.694-699
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    • 2011
  • A closed-form technique is presented for estimating a single source location from a set of noisy time delay measurements between distributed sensors. The localization formula is derived from nonlinear least squares minimization over the unknowns of target range and bearing in polar coordinates. Computer simulation results are provided for the purpose of performance analysis. Constrained least squares minimization method with prior source location information is also discussed.

Sparse Second-Order Cone Programming for 3D Reconstruction

  • Lee, Hyun-Jung;Lee, Sang-Wook;Seo, Yong-Duek
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.103-107
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    • 2009
  • This paper presents how to minimize the second-order cone programming problem occurring in the 3D reconstruction of multiple views. The $L_{\infty}$-norm minimization is done by a series of the minimization of the maximum infeasibility. Since the problem has many inequality constraints, we have to adopt methods of the interior point algorithm, in which the inequalities are sequentially approximated by log-barrier functions. An initial feasible solution is found easily by the construction of the problem. Actual computing is done by an iterative Newton-style update. When we apply the interior point method to the problem of reconstructing the structure and motion, every Newton update requires to solve a very large system of linear equations. We show that the sparse bundle-adjustment technique can be utilized in the same way during the Newton update, and therefore we obtain a very efficient computation.

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A Frequency Selection Algorithm for Power Consumption Minimization of Processor in Mobile System (이동형 시스템에서 프로세서의 전력 소모 최소화를 위한 주파수 선택 알고리즘)

  • Kim, Jae Jin;Kang, Jin Gu;Hur, Hwa Ra;Yun, Choong Mo
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.4 no.1
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    • pp.9-16
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    • 2008
  • This paper presents a frequency selection algorithm for minimization power consumption of processor in Mobile System. The proposed algorithm has processor designed low power processor using clock gating method. Clock gating method has improved the power dissipation by control main clock through the bus which is embedded clock block applying the method of clock gating. Proposed method has compared power consumption considered the dynamic power for processor, selected frequency has considered energy gain and energy consumption for designed processor. Or reduced power consumption with decreased processor speed using slack time. This technique has improved the life time of the mobile systems by clock gating method, considered energy and using slack time. As an results, the proposed algorithm reduce average power saving up to 4% comparing to not apply processor in mobile system.

Module Synthesis in Flexible Architecture (유연한 구조의 모듈 합성)

  • 오명섭;권성훈;신현철
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.32A no.2
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    • pp.140-150
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    • 1995
  • A symbolic layout generator, called Flexible Module Generator (FMG), has been developed for transgorming a given CMOS circuit netlist into an optimized symbolic layout. Contrary to other conventional module generators which place transistors either in horizontal or in vertical direction, FMG places transittors in any hence can multiples of 90$^{\circ}$. This flexible layout style can maximize the diffusion sharing and hence can reduce the wire-length for both of area minimization and performance improvement. In FMG, transistors are initially randomly placed and then selected transistors are iteratively replaced using an optimization technique based on simulated evolution. Whenever a transistor is replaced, the affected nets are rerouted. Constraints on the shape, aspect ratio, and critical path delays are considered during the optimization process. Routing is performed by using a modified maze router on polysilicon, metal 1, and metal 2 interconnection layers. additional routing grids are added, if necessary, for complete routing. Unused rows or columns are removed after routing for area minimization. Experimental reasults show that FMG synthesizes satisfactory layouts.

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Thrust Ripples Minimization of the Slotless Linear Synchronous Motor (슬롯리스 선형 동기전동기의 추력 리플 최소화)

  • Lee, Ju-Min;Kang, Gyu-Hong;Hong, Jung-Pyo;Kim, Gyu-Tak
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.747-749
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    • 2000
  • This study deals with the characteristic analysis of slotless PMLSM based on the analytical method. Slotless PMLSM produces the thrust ripples due to the harmonic component of back-EMF. Therefore, this paper presents the thrust ripple minimization technique, by modifying the pole ratio and the coil width. The results of the proposed mehtod are compared the ones of FEM.

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Study of Detent Force Minimization Techniques in Permanent Magnet Linear Synchronous Motor (영구자석 선형동기전동기의 디텐트력 최소화 기법 연구)

  • Lim, Ki-Chae;Woo, Joon-Keun;Hong, Jung-Pyo;Kim, Gyu-Tak
    • Proceedings of the KIEE Conference
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    • 2000.07b
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    • pp.763-765
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    • 2000
  • Detent force is produced in a permanent magnet linear machine. It is generally an undesired effect that contributes to the output ripple of machine, vibration and noise. This paper analyzes detent force in a Permanent Magnet Linear Synchronous Motor (PMLSM) by using various detent force minimization techniques. A two-dimensional Finite Element Method(FEM) is used to predict detent forces due to structural factors and non-linearity. And moving node technique for the drawing models is used to reduce modeling time and efforts.

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A Study on distribution system reconfiguration using Genetic algorithms (유전 알고리즘을 이용한 배전계통 선로 재구성에 관한 연구)

  • Mun, K.J.;Kim, H.S.;Hwang, G.H.;Lee, H.S.;Park, J.H.
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.488-490
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    • 1995
  • This paper presents an optimization technique using genetic algorithms(GA) for loss minimization in the distribution network reconfiguration. Determining switch position to be opened for loss minimization in the radial distribution system is a discrete optimization problem. GA is appropriate to solve the multivariable optimization problem and it uses population, not a solution. For this reason, GA is attractive to solve this problem. In this paper, we aimed at finding appropriate open sectionalizing switch position using GA, which can lead to minimum transmission losses.

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Optimizing Construction Alternatives for Repetitive Scheduling (반복공정 최적 공법대안 선정 방법)

  • Park, Sang-Min;Lee, Dong-Eun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.05a
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    • pp.132-133
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    • 2015
  • Efficient scheduling and resource management are the key factor to reduce construction project budget (e.g., labor cost, equipment cost, material cost, etc.). Resource-based line of balance (LOB) technique has been used to complement the limitations of time-driven scheduling techniques (e.g., critical-path method). Optimizing construction alternatives contributes cost savings while honoring the project deadline. However, existing LOB scheduling is lack of identifying optimal resource combination. This study presents a method which identifies the optimal construction alternatives, hence achieving resource minimization in a repetitive construction by using genetic algorithm (GA). The method provides efficient planning tool that enhances the usability of the system.

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A robust nonlinear mathematical programming model for design of laterally loaded orthotropic steel plates

  • Maaly, H.;Mahmoud, F.F.;Ishac, I.I.
    • Structural Engineering and Mechanics
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    • v.14 no.2
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    • pp.223-236
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    • 2002
  • The main objective of the present paper is to address a formal procedure for orthotropic steel plates design. The theme of the proposed approach is to recast the design procedure into a mathematical programming model. The objective function to be optimized is the total weight of the structure. The total weight is function of its layout parameters and structural element design variables. Mean while the proposed approach takes into consideration the strength and rigidity criteria in addition to other dimensional constraints. A nonlinear programming model is developed which consists of a nonlinear objective function and a set of implicit/explicit nonlinear constraints. A transformation method is adopted for minimization strategy, where the primal model constrained problem is transformed into a sequence of unconstrained minimization models. The search strategy is based on the well-known Fletcher/Powell algorithm. The finite element technique is adopted for discretization and analysis strategies. Mindlin theory is selected to simulate the finite element model and a selective reduced integration scheme is exploited to avoid a shear lock problem.

Comparison on of Minimization of Loos function for strength Prediction Model using DNN (DNN을 활용한 강도예측모델의 손실함수 최소화 기법 비교분석)

  • Han, Jun-Hui;Kim, Su-Hoo;Beak, Sung-Jin;Han, Soo-Hwan;Kim, Jong;Han, Min-Cheol
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.182-183
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    • 2022
  • In this study, compared and analyzed various loss function minimization techniques to present a methodology for developing a natural intelligence-based prediction system. As a result of the analysis, He Initialization was the best with RMSE: 3.78, R2: 0.94, and the error rate was 6%. However, it is considered desirable to construct a prediction system by combining each technique for optimization.

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