• Title/Summary/Keyword: direction of improvement

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Efficiency Analysis and Finance Strategy for an Automotive Parts Maker Using DEA and Logistic Regression Model (DEA와 로지스틱 회귀분석을 이용한 자동차부품기업의 효율성 분석 및 재무전략)

  • Sin, Jeong-Hun;Hwang, Seung-June
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.1
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    • pp.127-143
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    • 2016
  • This study applied DEA analysis to measure the relative efficiency of 35 companies that produce automobile body components. First, the input and output, the improvement target value of the calculated variables, and the reference group for benchmarking for inefficient groups to become efficient groups were established through DEA analysis. In addition, whether inefficiency was due to technical inefficiency or size was analyzed in connection with the cases of the actual companies through the measurement of scale efficiency. Second, a route for efficiency improvement was derived through DEA-Tier analysis by defining the possible group for benchmarking in actuality within the production industry of automobile body components where the primary cooperative company belonged. Third, the financial variables that generate the difference between efficient and inefficient groups were derived through logistic regression analysis. Financial strategies that determine the direction the indices should be improved to allow the inefficient group to become an efficient one were recommended. This research is expected to provide diagnostic methods for management efficiency and the direction of improvement to enhance the management efficiency of automotive parts makers by identifying the causes of the inefficiency of domestic automotive parts makers empirically. The study also provides financial strategies together with the target values of efficiency improvement for each individual company.

The Best Design of the Deep Mixing Method by the rate of substitution (치환율에 따른 심층혼합 처리공법의 최적 설계)

  • Park, Choon-Sik;Lee, Jun-Seok;Jung, Won-Sub
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.03a
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    • pp.123-131
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    • 2009
  • The study decided the improvement depth of soft ground of deep mixing method through 2 and 3 dimension finite element method and following results were acquired. 1. 2 dimension analysis shows settlement 10% more estimated than 3 dimension analysis. 2. When the rate of replacement is under 5%, the settlement sharply increased. 3. The most economical design for the levee was decided 3.0m for width direction, 6.0m for length direction and 8.0m for improvement depth. 4. When the soft ground is developed through deep mixing method, the decision of improvement should be decided through 3 dimension analysis than 2 dimension analysis.

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Performance Improvement of Sound Direction of Arrival Estimation by Applying Threshold to CPSP (CPSP 문턱값 설정을 통한 음원도달 방향 추정 성능 개선)

  • Quan, Xingri;Bae, Keun-Sung
    • Phonetics and Speech Sciences
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    • v.3 no.3
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    • pp.109-114
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    • 2011
  • To estimate sound direction of arrival with a pair of microphones, a method based on Time Difference of Arrival (TDOA) estimation using the Cross Power Spectrum Phase (CPSP) function is largely used due to its simplicity and good performance. In this paper, we investigate CPSP maximum values for various SNRs and adverse environments, and propose a novel method to improve the estimation performance of sound direction of arrival. The proposed method applies a threshold to the CPSP values and increases the reliability of the estimated sound direction. Through computer simulation for various SNRs, we validate the effectiveness of the proposed method. When the threshold was set to 0.1, more than 90% of success rate of sound direction of arrival estimation has been achieved for directions of $10^{\circ}$, $40^{\circ}$, $70^{\circ}$ from the source location even with reverberation times of 0.1s.

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Optimization of a Savonius hydrokinetic turbine for performance improvement: A comprehensive analysis of immersion depth and rotation direction

  • Mafira Ayu Ramdhani;Il Hyoung Cho
    • Ocean Systems Engineering
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    • v.14 no.2
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    • pp.141-156
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    • 2024
  • The turbine system converts the kinetic energy of water flow to electricity by rotating the rotor in a restricted waterway between the seabed and free surface. A turbine system's immersion depth and rotation direction are significantly critical in the turbine's performance along with the shape of the rotor. This study has investigated the hydrodynamic performance of the Savonius hydrokinetic turbine (SHT) according to the immersion depth and rotation direction using computational fluid dynamics (CFD) simulations. The instantaneous torque, torque coefficient, and power coefficients are calculated for the immersion ratios Z/D ranging [0.25, 3.0] and both clockwise (CW) and counterclockwise (CCW) rotations. A flow visualization around the rotor is shown to clarify the correlation between the turbine's performance and the flow field. The CFD simulations show that the CCW rotation produces a higher power at shallow immersion, while the CW rotation performs better at deeper immersion. The immersion ratio should be greater than the minimum of Z/D=1.0 to obtain the maximum power production regardless of the rotation direction.

A Study on Direction of Arrival Algorithm using Optimum Weight and Steering Direction Vector of MUSIC Algorithm (MUSIC알고리즘의 지향 방향벡터와 최적 가중치를 이용한 도래방향 추정 알고리즘 연구)

  • Lee, Kwan-Hyeong;Song, Woo-Young;Lee, Myeong-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.147-152
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    • 2012
  • This paper estimates the direction of arrival of desired a target using propagation wave in spatial. Direction of arrival estimation is to find desired target position among received signal to receiver array antennas. In this paper, we estimated direction of arrival for target, by using cost function and high resolution MUSIC algorithm, in order to direction of arrival estimation, and calculated optimum weight vector. Through simulation, in regard to the estimation of the arrival direction of a target, the performances of the existing ESPRIT algorithm and the proposed algorithm were comparatively analyzed. In the estimation time of the arrival direction of a target object, the proposed algorithm showed an improvement of approximately as compared to the existing ESPRIT algorithm.