• Title/Summary/Keyword: OPTIMAL RANGE

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A Study on the Optimization for Three Dimensional Reconstruction of Bio Surface Using by Stereo Vision (스테레오 비젼에 의한 생체표면 3차원 복원의 최적화 연구)

  • Lee, Kyungchai;Lee, Onseok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.107-113
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    • 2017
  • Unlike regular images, there is no ground truth for bio surface images. Result of biosurface imaging is not only significantly affected by the environment and the condition of the bio surface, it requires more detailed expression than regular images. Therefore, unlike algorithms tested on regular images, studies on bio surface images requires a highly precise optimization process. We aim to optimize the graph cut algorithm, known to be the most outstanding among the stereo visions, by considering baseline, lambda, and disparity range. Optimal results were in the range of 1~10 for lambda. The disparity ranged from -30 to -50, indicating an optimal value in a slightly higher range. Furthermore, we verified the tested optimization data using SIFT.

A Study on Optimal Selection of Inductance for Power Factor Improvement of Buck AC/DC LED Driver With Wide Input Voltage Range (입력 전압 범위가 넓은 벅 AC/DC LED 구동기의 역률 개선을 위한 최적 인덕턴스 선택에 관한 연구)

  • Kim, Marn-Go
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.4
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    • pp.302-305
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    • 2021
  • Selection of the optimal inductance for power factor improvement of a buck AC/DC light-emitting diode (LED) driver with wide input voltage range is described in this study. The power factor change based on the slope compensation is obtained for various normalized output current (NOC) values using discrete-time domain analysis. The possibility of implementing constant slope compensation is described using power factor curves for various NOC values. NOC = 0.5 is chosen for the value of inductance with consideration for the simple implementation and reduction of inductor size. Experimental results of the inductance corresponding to NOC = 0.5 are presented.

Research on Artillery Target Size Determination Method Considering Ballistic and Terrain Characteristics (탄도 및 지형 특성을 고려한 포병 표적지 크기 결정 방안 연구)

  • Juhee Kim;Kieun Sung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.3
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    • pp.355-363
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    • 2024
  • This study proposes a method for determining the optimal target size for an artillery range considering ballistics and environmental conditions. To this end, the size of the probable error of each type of ammunition and charge determined during shooting were considered, and the effect of the firing position and target terrain characteristics on the target size was analyzed. In conclusion, the size of the target increased as the range increased, and a larger target size was required for the DPICM than for the general high explosive. Accordingly, the optimal target size must be determined by considering various factors such as topographical characteristics, shooting position location, and shooting range safety standards.

Multiple Degenerate Optimal Solutions and Sensitivity Analysis of Transportation Problem (수송문제에서 다수 퇴화 최적해와 민감도 분석)

  • Min, Gye-Ryo;Kim, Hui
    • Journal of the military operations research society of Korea
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    • v.27 no.1
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    • pp.28-38
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    • 2001
  • A transportation problem amy have multiple optimal solutions, if an optimal solution to the problem is degenerate. This study derives a condition, under which multiple degenerate optimal solutions exist, fro ma current degenerate optimal transportation tableau by utilizing the homogeneous equation obtained from the closed loops connecting degenerate basic variable and non-basic variables, and discusses a method of generating alternative degenerate optimal solutions and their associated transportation tableaus. Each degenerate optimal solution may not have the same range of feasibility in sensitivity analysis on supply and demand quantity due to different set of shadow prices which multiple degenerate solution have.

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Range Image Segmentation Based on Polynomial Function Approximation (다항식 함수 근사화에 근거한 거리 영상 분할)

  • 임영수;조택일;박규호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.9
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    • pp.1448-1455
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    • 1990
  • In this paper, a range image segmentation method is proposed. This method consists of an initial segmentation stage by discontinuous edge detection and surface type labeling based on the sign of the principal curvatures. Initially type labeled image is oversegmented, this image is merged via stepwise optimal region merging stage based on polynomial function approxiamtion. The successful segmentation results are presented for two synthetic range images with noise and a real-world ERIM range image.

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A Study on Optimal Design of Panel Shape of a Body Structure for Reduction of Interior Noise

  • Kim, Hyo-Sig;Yoon, Seong-Ho
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.11a
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    • pp.694-698
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    • 2006
  • This paper presents an optimal design process using beads on a body panel to improve interior noise of a passenger vehicle. Except modification of structural members, it is difficult to find effective countermeasures that can work for the intermediate frequency range from 100 Hz to 300 Hz which lies between the booming and low medium frequency. In this study, it is a major goal to find additional counter-measures for this intermediate frequency range by performing optimal design of beads on body panels. The proposed method for design optimization consists of 4 sub-steps, that is, a) problem definition, b) cause analysis, c) countermeasure development and d) validation. The objective function is minimization of interior noise level. The major design variables are the geometrical shape of a bead and combination of beads on the critical panels. Sensitivity analysis and optimization are performed according to the predefined process for an optimal design. It is verified that the proposed design decreases the level of noise transfer function above 5 dB.

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Estimation of the optimal heated inlet air temperature for the beta-ray absorption method: analysis of the PM10 concentration difference by different methods in coastal areas

  • Shin, So Eun;Jung, Chang Hoon;Kim, Yong Pyo
    • Advances in environmental research
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    • v.1 no.1
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    • pp.69-82
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    • 2012
  • Based on the measurement data of the particulate matter with an aerodynamic diameter of less than or equal to a nominal 10 ${\mu}m$ (PM10) by the ${\beta}$-ray absorption method (BAM) equipped with an inlet heater and the gravimetric method (GMM) at two coastal sites in Korea, the optimal inlet heater temperature was estimated. By using a gas/particle equilibrium model, Simulating Composition of Atmospheric Particles at Equilibrium 2 (SCAPE2), water content in aerosols was estimated with varying temperature to find the optimal temperature increase to make the PM10 concentration by BAM comparable to that by GMM. It was estimated that the heated air temperature inside the BAM should be increased up to $35{\sim}45^{\circ}C$ at both sites. At this temperature range, evaporation of volatile aerosol components was minor. Similar ($30{\sim}50^{\circ}C$) temperature range was also obtained from the calculation based on the absolute humidity which changed with ambient absolute humidity and chemical composition of hygroscopic species.

A Study on the Optimal Var Planning Considering Uncertainties of Loads (부하의 불확실성을 고려한 최적 Var배분 앨고리즘에 관한 연구)

  • 송길영;이희영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.4
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    • pp.346-354
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    • 1992
  • In the power-system, the active and reactive power levels of load bus randomly vary over days, months, and years which are stochastic in nature. This paper presents an algorithm for optimal Var planning considering the uncertainties of loads. The optimization problem is solved by a stochastic linear programming technique which can handle stochastic constraints to evaluate optimal Var requirement at load bus to maintain the voltage profile which results in probabilistic density function by stochastic Load Flow analysis within admissible range. The effectiveness of the proposed algorithm has been verified by the test on the IEEE-30 bus system.

Two Phase Algorithm in Optimal Control

  • Park, Chungsik;Lee, Tai-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.252-255
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    • 1999
  • Feed rate in the fed-batch reactor is the most important control variable in optimizing the reactor performance. Exact solution can be obtained only for limited cases of simple reactor. The complexity of the model equations makes it extremely difficult to solve fur the general class of system models. Evolutionary programming method is proposed to get the information of the profile types, and the final profile is calculated by that information. The modified evolutionary programming method is used to get the more optimal profiles and it is demonstrated that proposed method can solve a wide range of optimal control problems.

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Target Pointing Guidance using Optimal Control (최적제어를 이용한 목표점 지향 유도)

  • Whang, Ick-Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.7
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    • pp.881-888
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    • 1999
  • Target pointing guidance steers a vehicle to point at a target point at a given range Rs. In this paper, vehicle's motions relative to the target point are modeled by differential equations. Then a target pointing guidance law is derived using optimal control theories. In addition, it is shown that the proposed guidance law can achieve the goal of target pointing guidance whatever initial headings are.

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