• Title/Summary/Keyword: Loss Minimization

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RF Loss Minimization Method Using High Impedance Filter for Research (High Impedance Filter를 이용한 RF Loss 최소화 방법에 대한 연구)

  • Wang, Hyun-Chul;Seo, Hwa-Il
    • Journal of the Semiconductor & Display Technology
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    • v.19 no.1
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    • pp.55-60
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    • 2020
  • This study designed High impedance filter to reduce RF loss to heater heating wire and increase RF current flowing to heater ground wire. Effects such as D / R improvement and process reproducibility could be seen. In addition, RF parameter distribution optimization was possible by understanding the RF path of PE-CVD equipment using Plasma and designing filter.

Minimization of the Capacity of Control Memory in Microprogrammed Digital Systems (Microprogrammed 디지털 시스템의 제어 기억 용량의 최소화)

  • 조영일;임인칠
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.21 no.3
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    • pp.19-25
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    • 1984
  • This paper suggests a new algorithm which minimizes the bit dimension of control memory considering the flexibility for reprogramming in the microprogrammed digital systems. The algorithm can not only minimize the bit dimension but also compensate the loss of flexibility by giving a highest MOP the unique field in the process of bit minimization. Also, programming the algorithm, that result and previous works are compared and reviewed. Then the bit reduction and the improvement of flexibility are proved.

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Minimization of consumption energy for a manipulator with nonlinear friction in PPT motion

  • Izumi, T.;Takase, K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.95-99
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    • 1994
  • Robot engineering is developed mainly in the field of intelligibility such as a manipulation. Considering the popularization of robots in the future, however, a robot should be studied from a viewpoint of saving energy because a robot is a kind of machine with a energy conversion. This paper deals with minimizing an energy consumption of a manipulator which is driven in a point-to-point control method. When a manipulator carries a heavy payload toward gravitation or the links are de-accelerated for positioning, the motors at joints generate electric energy. Since this energy can be regenerated to the source by using a chopper, the energy consumption of a manipulator is only heat loss by an electric and a frictional resistance of the motors. The minimization of the sum of these losses is reduced Lo a two-points boundary-value problem of an non-linear differential equation. The solutions are obtained by the generalized Newton-Raphson method in this paper. The energy consumption due to the optimum angular velocity patterns of two joints of a two-links manipulator is compared with conventional velocity patterns such as quadratic and trapezoid.

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A Method to Minimize Classification Rules Based on Data Mining and Logic Synthesis

  • Kim, Jong-Wan
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1739-1748
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    • 2008
  • When we conduct a data mining procedure on sample data sources, several rules are generated. But some rules are redundant or logically disjoint and therefore they can be removed. We suggest a new rule minimization algorithm inspired from logic synthesis to improve comprehensibility and eliminate redundant rules. The method can merge several relevant rules into one based on data mining and logic synthesis without high loss of accuracy. In case of two or more rules are candidates to be merged, we merge the rules with the attribute having the lowest information gain. To show the proposed method could be a reasonable solution, we applied the proposed approach to a problem domain constructing user preferred ontology in anti-spam systems.

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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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Constrained adversarial loss for generative adversarial network-based faithful image restoration

  • Kim, Dong-Wook;Chung, Jae-Ryun;Kim, Jongho;Lee, Dae Yeol;Jeong, Se Yoon;Jung, Seung-Won
    • ETRI Journal
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    • v.41 no.4
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    • pp.415-425
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    • 2019
  • Generative adversarial networks (GAN) have been successfully used in many image restoration tasks, including image denoising, super-resolution, and compression artifact reduction. By fully exploiting its characteristics, state-of-the-art image restoration techniques can be used to generate images with photorealistic details. However, there are many applications that require faithful rather than visually appealing image reconstruction, such as medical imaging, surveillance, and video coding. We found that previous GAN-training methods that used a loss function in the form of a weighted sum of fidelity and adversarial loss fails to reduce fidelity loss. This results in non-negligible degradation of the objective image quality, including peak signal-to-noise ratio. Our approach is to alternate between fidelity and adversarial loss in a way that the minimization of adversarial loss does not deteriorate the fidelity. Experimental results on compression-artifact reduction and super-resolution tasks show that the proposed method can perform faithful and photorealistic image restoration.

Output Power Control of Wind Generation System by Machine Loss Minimization

  • Abo-Khalil Ahmed;Lee Dong-Choon
    • 한국신재생에너지학회:학술대회논문집
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    • 2005.06a
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    • pp.51-54
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    • 2005
  • Generator efficiency optimization is important for economic saving and environmental pollution reduction. In general, the machine loss can be reduced by the decreasing the flux level, resulting in the significant reduction of the core loss. This paper proposesan model-based controller is used to decrement the excitation current component on the basis of measured stator current and machine parameters and the q-axis current component controls the generator torque, by which the speed of the induction generator iscontrolled according to the variation of the wind speed in order to produce the maximum output power. The generator reference speed is adjusted according to the optimum tip-speed ratio. The generated power flows into the utility grid through the back-to-back PWM converter. The grid-side converter controls the dc link voltage and the line-side power factor by the q-axis and the d-axis current control, respectively. Experimental results are shown to verify the validity of the proposed scheme.

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A study of Optimal Reconfiguration in Distribution Power System using Initial Operating Point (초기 운전점 선정을 통한 배전계통 최적 재구성에 관한 연구)

  • Seo, Gyu-Seok;Kim, Jung-Nyun;Baek, Young-Sik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.3
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    • pp.451-456
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    • 2007
  • This paper presents a problem that reconfigure distribution power system using branch exchange method. Optimal reconfiguration problem calculates line loss, voltage condition about system states of all situations that become different according to line On/off status, and search for optimum composition of these. However, result is difficult to be calculated fast. Because radiated operation condition of system is satisfied using many connection and sectionalize switches in the distribution power system. Therefore, in this paper, optimization method for reducing system total loss and satisfying operating condition of radial and constraints condition of voltage is proposed using the fastest branch exchange. And optimal solution at branch exchange algorithm can be wrong estimated to local optimal solution according to initial operating state. Considering this particular, an initial operating point algorithm is added and this paper showed that optimal solution arrives at global optimal solution.

Application Optimal Reconfiguration Algorithm for Distribution Power System to KEPCO System (배전계통 최적 재구성 알고리즘의 실계통 적용)

  • Seo, Gyu-Seok;Baek, Yaung-Sik;Chae, Woo-Gyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.10
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    • pp.1681-1687
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    • 2008
  • This paper shows application of optimal reconfiguration algorithm for distributing power system to KEPCO system for loss minimization and load balancing. That is, it suggests additional algorithm to check potential problems caused in case of theoretical algorithm being applied to real system and recover from them. Also, comparing the results of reconfiguration algorithm Tabu-Search Algorithm applied to current KEPCO distribution power system and those of Branch Exchange Algorithm using initial operation point suggested in this paper, it shows how much the results are improved in aspects of load balancing, loss reduction and calculating time.

GA-based Optimal Reactive Power Dispatch Taking Account of Transmission Loss Re-distribution and Voltage Dependent Load Models (송전손실 재분배와 전압의존형 부하모델을 적용한 GA기반의 무효전력 최적배분)

  • Chae, Myung-Suk;Lee, Myung-Hwan;Kim, Byung-Seop;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.350-353
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    • 2000
  • This paper presents an algorithm for Optimal Reactive Power Dispatch(ORPD) problem based on genetic algorithm. Optimal reactive power dispatch is particularized to the minimization of transmission line losses by suitable selection of generator reactive power outputs and transformer tap settings. To reduce system loss and improve voltage profile, two methods, Loss Re-Distribution Algorithm (LRDA) and Voltage Dependent Load Model (VDLM), are applied to ORPD. The proposed methods have been evaluated on the IEEE 30 bus system. Each of results have been compared with result of load flow.

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