• Title/Summary/Keyword: Minimum Reliability

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The Improved Success Rate of Integer Ambiguity Resolution by Using Many Visible GPS/GNSS Satellites

  • Kondo, Kentaro
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.243-246
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    • 2006
  • This study investigates the improvement in the theoretical success rate of the integer ambiguity resolution in GPS/GNSS carrier-phase positioning by using many visible satellites. It estimates the dependence of the rate on the baseline length in relative positioning under the condition of the use of double/triple-frequency navigation signals. The calculation results show that the use of 14 navigation satellites (i.e., seven GPS and seven Galileo ones) remarkably improves the success rate under the condition of very short baseline length, compared with the use of seven GPS ones. The numerical reliability of the calculated success rates is strictly tested by examining the tightness of the union and minimum-distance bounds to the rate. These bounds are also shown to be effective to investigate the realization of the high success rates.

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Reliability Pricing Model system construction (신뢰도기반 가격산정모델 시스템 구축)

  • Lee, Cheon-Ho;Han, Seok-Man;Kim, Jong-Hyuk;Chung, Koo-Hyung;Kim, Bal-Ho
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.812-813
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    • 2007
  • The procurement of generation and transmission/Distribution capacity in vertically-integrated electric industry is sufficient by facility construction in suitable time. However, the introduction of competitive electricity market increase the efficiency of availability for facilities and fuels. As a result, long-term capacity procurement is required for stable demand-supply balance since it is expected to maintain their generation capacity at a minimum for profit maximization. In this paper, a new long-term capacity procurement mechanism is constructed, which is able to assure supplemental contribution in competitive electricity market.

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Application of Opposition-based Differential Evolution Algorithm to Generation Expansion Planning Problem

  • Karthikeyan, K.;Kannan, S.;Baskar, S.;Thangaraj, C.
    • Journal of Electrical Engineering and Technology
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    • v.8 no.4
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    • pp.686-693
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    • 2013
  • Generation Expansion Planning (GEP) is one of the most important decision-making activities in electric utilities. Least-cost GEP is to determine the minimum-cost capacity addition plan (i.e., the type and number of candidate plants) that meets forecasted demand within a pre specified reliability criterion over a planning horizon. In this paper, Differential Evolution (DE), and Opposition-based Differential Evolution (ODE) algorithms have been applied to the GEP problem. The original GEP problem has been modified by incorporating Virtual Mapping Procedure (VMP). The GEP problem of a synthetic test systems for 6-year, 14-year and 24-year planning horizons having five types of candidate units have been considered. The results have been compared with Dynamic Programming (DP) method. The ODE performs well and converges faster than DE.

An Active Location-Detecting System for an Emergency Rescue Service (응급 구조 서비스를 위한 능동형 위치 검출시스템)

  • Oh, Kyoung-Hwan;Park, Jae-Hwa;Lee, Doo-Soo
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.181-185
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    • 2008
  • Recently, location based service(LBS) expended based on personal specialized service, however since commercialized GPS based emergency rescue service comes with shadow zone for GPS signal such as inside building, the accuracy and reliability are not guaranteed. Therefore to improve such problem, we propose an active location detecting algorithm using RFID-TAG and Yagiantenna. To track the location of RFID-TAG where signal is generated, location tracking device in which Yagi-Antenna is installed moves around. Since directed wave and reflected wave co-exist during signal reception, final signal generated location is searched by setting up multiple of locations where signal can be generated on the map and moving location tracking device along minimum length of path. The algorithm proposed in this paper was verified of its technical validity through simulator.

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A 3 kW Bidirectional DC-DC Converter for Electric Vehicles

  • Ansari, Arsalan;Cheng, Puyang;Kim, Hee-Jun
    • Journal of Electrical Engineering and Technology
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    • v.11 no.4
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    • pp.860-868
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    • 2016
  • A bidirectional DC-DC converter (BDC) is an indispensable electrical unit for the electric vehicles (EVs). High efficiency, high power density, isolation, light weight and reliability are all essential requirements for BDC. In this paper, a 3 kW BDC for the battery charger of EVs is proposed. The proposed converter consists of a half-bridge structure on the primary side and an isolation transformer and a synchronous rectifier structure on the secondary side. With this topology, minimum number of switching devices are required for bidirectional power flow between the two dc buses of EVs. The easy implementation of the synchronous rectification gives advantages in terms of efficiency, cost and flexibility. The proposed BDC achieves high efficiency when operating in both modes (step-up and step-down). A 3 kW prototype is implemented to verify theoretical analysis and the performance of the proposed converter.

A class of accelerated sequential procedures with applications to estimation problems for some distributions useful in reliability theory

  • Joshi, Neeraj;Bapat, Sudeep R.;Shukla, Ashish Kumar
    • Communications for Statistical Applications and Methods
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    • v.28 no.5
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    • pp.563-582
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    • 2021
  • This paper deals with developing a general class of accelerated sequential procedures and obtaining the associated second-order approximations for the expected sample size and 'regret' (difference between the risks of the proposed accelerated sequential procedure and the optimum fixed sample size procedure) function. We establish that the estimation problems based on various lifetime distributions can be tackled with the help of the proposed class of accelerated sequential procedures. Extensive simulation analysis is presented in support of the accuracy of our proposed methodology using the Pareto distribution and a real data set on carbon fibers is also analyzed to demonstrate the practical utility. We also provide the brief details of some other inferential problems which can be seen as the applications of the proposed class of accelerated sequential procedures.

A Hierarchical Motion Estimation Algorithm Using Correlation of Motion Fields

  • Song, B.C.;Lim, K.W.;J.B.Ra
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06b
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    • pp.41-44
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    • 1996
  • A new three step hierarchical search algorithm for motion estimation is proposed. The proposed algorithm exploits the motion correlation of spatially neighboring blocks and the motion continuity of temporally neighboring blocks to alleviate the local minimum problem in the first step of the three step hierarchical search algorithm (3SHS). Simulation results show that the proposed scheme achieves significant improvements in both estimation accuracy and performance reliability compared with the existing fast block matching algorithm including 3SHS, while maintaining almost the same computational complexity as 3SHS. The proposed scheme also possesses the regularity and simplicity of hardware-oriented features.

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A Research on Dynamic Behavior of Clamshell Hood to Secure the Safety and Durability Performance

  • Kyoungtaek Kwak;Seunghoon Kang;Jaedong Yoo;Kyungdug Seo;Youngchul Shin;Kyungsup Chun;Jaekyu Lee
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.1
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    • pp.7-15
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    • 2023
  • The purpose of this study is to predict the dynamic behavior of clamshell hood system on the harsh road driving condition, and secure the safety and durability performance of the system. The equation of motion of hood system is derived and the numerical analysis is implemented to obtain the lateral movement of the hood system. Also, the actual Belgian road test results are correlated to the predicted ones, and confirm the reliability of the system. Then, the parameter study is conducted to figure out the sensitive factors to affect the dynamic behavior, and the engineering design guide to make the system robust to confine the minimum friction force generated from hood latch and maximum hood weight is suggested from this research.

Adaptive Switching Filtering Algorithm for SAP noise (SAP 잡음 제거를 위한 적응적 스위칭 필터링 알고리즘)

  • Kim, Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.1
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    • pp.25-35
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    • 2022
  • The SAP(salt-and-pepper) noise changes the pixel value to the maximum and minimum values of the dynamic region of the pixel. For this reason, unlike white Gaussian noise, SAP noise can predict the ratio of noise relatively easily. Because the condition of the neighboring pixels that can be referenced changes according to the noise ratio, it is necessary to apply different noise reduction methods according to the noise ratio. This paper proposes an adaptive switching filtering algorithm which can eliminates the SAP noise. It consists of two phases. It first detects the location of the SAP noise and calculates the noise ratio. After that, the image is reconstructed using different methods depending on which of the three sections the calculated noise ratio belongs to. As a result of the experiment, the proposed method showed superior objective and subjective image quality compared to the previous methods such as MF, AFSWMF, NAMF and RWMF.

Stress-based topology optimization under buckling constraint using functionally graded materials

  • Minh-Ngoc Nguyen;Dongkyu Lee;Soomi Shin
    • Steel and Composite Structures
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    • v.51 no.2
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    • pp.203-223
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    • 2024
  • This study shows functionally graded material structural topology optimization under buckling constraints. The SIMP (Solid Isotropic Material with Penalization) material model is used and a method of moving asymptotes is also employed to update topology design variables. In this study, the quadrilateral element is applied to compute buckling load factors. Instead of artificial density properties, functionally graded materials are newly assigned to distribute optimal topology materials depending on the buckling load factors in a given design domain. Buckling load factor formulations are derived and confirmed by the resistance of functionally graded material properties. However, buckling constraints for functionally graded material topology optimization have not been dealt with in single material. Therefore, this study aims to find the minimum compliance topology optimization and the buckling load factor in designing the structures under buckling constraints and generate the functionally graded material distribution with asymmetric stiffness properties that minimize the compliance. Numerical examples verify the superiority and reliability of the present method.