• Title/Summary/Keyword: partial optimization

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Electrical Insulation Design and Experimental Results of a High-Tc Superconducting Cable (고온초전도 케이블의 전기절연 설계 및 시험평가)

  • Kwag, Dong-Soon;Cheon, Cheon-Gweon;Choi, Jae-Hyeong;Kim, Hae-Jong;Cho, Jeon-Wook;Kim, Sang-Hyun
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.55 no.12
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    • pp.640-645
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    • 2006
  • A 22.9kV/50MVA class high temperature superconducting(HTS) power cable system was developed in Korea. For the optimization of electrical insulation design for a HTS cable, it is necessary to investigate the ac breakdown impulse breakdown and partial discharge inception stress of the liquid nitrogen/laminated polypropylene paper(LPP) composite insulation system. They were used to insulation design of the model cable for a 22.9kV class HTS power cable and the model cable was manufactured. The insulation test of the manufactured model cable was evaluated in various conditions and was satisfied standard technical specification in Korea. Base on these experimental data, the single and 3 phase HTS cable of a prototype were manufactured and verified.

Multi-Robot Localization based on Distance Mapping (거리매칭에 기반한 다수로봇 위치추정)

  • Je, Hong-Mo;Kim, Jung-Tae;Kim, Dai-Jin
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10c
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    • pp.433-438
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    • 2007
  • This paper presents a distance mapping-based localization method with incomplete data which means partially observed data. We make three contributions. First, we propose the use of Multi Dimensional Scaling (MDS) for multi-robot localization. Second, we formulate the problem to accomodate partial observations common in multi-robot settings. We solve the resulting optimization problem using #Scaling by Majorizing a Complicated function (SMACOF)#, a popular algorithm fur iterative MDS. Third, we not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).

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A Study on Optimum Shaft Alignment Analysis for VLCC (VLCC의 최적 축계정렬해석 연구)

  • Kim Hyu Chang;Kim Jun Gi
    • Special Issue of the Society of Naval Architects of Korea
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    • 2005.06a
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    • pp.134-137
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    • 2005
  • Recently, in VLCC, shafting system is stiffer due to large engine power whereas hull structure is more flexible due to scantling optimization, which can be suffered from alignment damage by incompatibility between shafting and hull, In this study, shafting system without stern tube forward bush was adapted for less sensitive system against external factors. Also, shaft alignment analysis was considered with hull deflection at various ship loading conditions and stern tube after bush of long journal bearing was evaluated by static squeezing pressure and dynamic oil film pressure with sloping control. Whirling vibration was also reviewed to avoid resonance with propeller blade order. So, reliable shafting design for VLCC could be achieved through optimized alignment analysis for the system without stern tube forward bush.

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The outline of a Link between Shell Analysis and Surface Modeling for Surface Structural Integrated Design (곡면 구조물 통합 설계를 위한 쉘 해석과 곡면 모델링의 연동 개요)

  • 노희열;조맹효
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2001.10a
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    • pp.295-302
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    • 2001
  • In the present study, we propose the framework which directly links shell finite element to the surface geometric modeling. For the development of a robust shell element, partial mixed variational functional is provided. The NURBS is used to generate the general free form of parameterized shell surfaces. Employment of NURBS makes shell finite element handle the arbitrary geometry of the smooth shell surfaces. The proposed shell finite element model linked with NURBS surface representation provides efficiency for design and analysis and can be directly extended to surface shape optimization problems in future work.

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Implementing Design Space Exploration Simulation tool for Real-Time Reconfiguration System (실시간 재구성 시스템을 위한 설계 공간 탐색 시뮬레이션 도구 구현)

  • Ahn, Seong-Youg;Lee, Byeong-Seok;Lee, Jeong-A
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.571-572
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    • 2006
  • A simulation tool for design space exploration of a real-time reconfiguration system was developed in this paper. We described an algorithm for a partial real-time reconfiguration to utilize already existing configured functional units and applied it to H.263 encoder application. This scheme allows us to find a starting configuration for the further optimization without actually building a prototype.

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MO Theoretical Study on the Stability and the Structure of the Carbon Dianion (Carbon Dianion의 안정성과 전자구조에 대한 분자궤도함수론적 연구)

  • Bon Su Lee;Ik Choon Lee;Chang Kuk Sohn
    • Journal of the Korean Chemical Society
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    • v.25 no.2
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    • pp.85-91
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    • 1981
  • In order to discuss the existence of the biindenyl dianion, we chose the 2, 3-dimethyl butadiene as a model compound and attempted the CNDO/2 calculations for its monoanino and dianion. We investigated the changes in the electronic structures by means of the partial geometry optimization. We found the stability effects on dianion were markedly different from those on monodianion.

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Optimization of Classifier Performance at Local Operating Range: A Case Study in Fraud Detection

  • Park Lae-Jeong;Moon Jung-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.3
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    • pp.263-267
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    • 2005
  • Building classifiers for financial real-world classification problems is often plagued by severely overlapping and highly skewed class distribution. New performance measures such as receiver operating characteristic (ROC) curve and area under ROC curve (AUC) have been recently introduced in evaluating and building classifiers for those kind of problems. They are, however, in-effective to evaluation of classifier's discrimination performance in a particular class of the classification problems that interests lie in only a local operating range of the classifier, In this paper, a new method is proposed that enables us to directly improve classifier's discrimination performance at a desired local operating range by defining and optimizing a partial area under ROC curve or domain-specific curve, which is difficult to achieve with conventional classification accuracy based learning methods. The effectiveness of the proposed approach is demonstrated in terms of fraud detection capability in a real-world fraud detection problem compared with the MSE-based approach.

An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering

  • Frigui, Hichem;Bchir, Ouiem;Baili, Naouel
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.4
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    • pp.254-268
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    • 2013
  • For real-world clustering tasks, the input data is typically not easily separable due to the highly complex data structure or when clusters vary in size, density and shape. Kernel-based clustering has proven to be an effective approach to partition such data. In this paper, we provide an overview of several fuzzy kernel clustering algorithms. We focus on methods that optimize an fuzzy C-mean-type objective function. We highlight the advantages and disadvantages of each method. In addition to the completely unsupervised algorithms, we also provide an overview of some semi-supervised fuzzy kernel clustering algorithms. These algorithms use partial supervision information to guide the optimization process and avoid local minima. We also provide an overview of the different approaches that have been used to extend kernel clustering to handle very large data sets.

An Overview on Performamce Control and Efficient Design of Lateral Resisting Moment Frames

  • Grigorian, Mark;Grigorian, Carl E.
    • International Journal of High-Rise Buildings
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    • v.2 no.2
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    • pp.141-152
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    • 2013
  • This paper presents a brief overview of the recently developed performance-control method of moment frame design subjected to monotonously increasing lateral loading. The final product of any elastic-plastic analysis is a nonlinear loaddisplacement diagram associated with a progressive failure mechanism, which may or may not be as desirable as expected. Analytically derived failure mechanisms may include such undesirable features as soft story failure, partial failure modes, overcollapse, etc. The problem is compounded if any kind of performance control, e.g., drift optimization, material savings or integrity assessment is also involved. However, there is no reason why the process can not be reversed by first selecting a desirable collapse mechanism, then working backwards to select members that would lead to the desired outcome. This article provides an overview of the newly developed Performance control methodology of design for lateral resisting frameworks with a view towards integrity control and prevention of premature failure due to propagation of plasticity and progressive P-delta effects.

A Study on the Development of the Minimization Algorithm of Total Operating Cost in a Multi-stage Distribution System by the Partial Delivery Method (분납조달 방법을 통한 다단계 분배시스템의 총운전비용 최소화 알고리즘 개발에 관한 연구)

  • 최진영
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.43
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    • pp.139-144
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    • 1997
  • The objective of this study is to establish an actual optimization strategy for the traditional multi-stage distribution system which consists of factory warehouse, central distribution warehouse, and regional distribution warehouse under the basic assumption of distribution system. A minimization algorithm of total operating cost in a multi-stage distribution system was developed by expanding the previously existing algorithm through consideration of additional transportation environment. Alternative non-linear transportation costs for the same travel distance can be applied for the multi-stage distribution system by estimating the corresponding characteristic values through the collection of the actual data representing the change of transportation circumstances.

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