• Title/Summary/Keyword: Hybrid Strategy

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SOC Sustaining Strategy for HEV through State-machine Control (하이브리드 차량의 SOC 유지전략 방법)

  • Byun, Sang-Min;Kim, Beom-Soo;Cha, Suk-Won
    • New & Renewable Energy
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    • v.4 no.4
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    • pp.65-71
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    • 2008
  • Considering the world's environmental problem, HEVs are projected as one of the solution. The keys of the HEV cruise control are expanding the use of electric motor and operating the internal combustion engine in the efficient region. This paper presents a new structure of SOC sustaining model where state-machine control is used. The proposed model defines battery charging and discharging as states and SOC of the battery as control variables. In this paper, we introduce various methods in deterministic rule-based control for HEV and describe a new SOC sustaining controller used by state-machine.

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Hybrid vibration control of smart laminated composite beams using piezoelectric and viscoelastic material (압전재료와 점탄성 재료를 이용한 지능 적층보의 하이브리드 진동 제어)

  • 강영규;김재환;최승복
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.133-137
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    • 2001
  • Active control of flexural vibrations of smart laminated composite beams has been carried out using piezoceramic sensor/actuator and viscoelastic material. The beams with passive constrained-layer damping have been analyzed by formulating the equations of motion through the use of extended Hamilton's principle. The dynamic characteristics such as damping ratio and modal damping of the beam are calculated for various fiber orientations by means of iterative complex eigensolution method, This paper addresses a design strategy of laminated composite under flexural vibrations to design structure with maximum possible damping capacity.

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On design of a control scheme using fuzzy-neural network (퍼지-뉴럴 합성을 이용한 제어기의 설계)

  • Lim, Kwang-Woo;Cho, Hyun-Chan;Kang, Hoon;Jeon, Hong-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.117-122
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    • 1992
  • The fuzzy-neural hybrid control system utilizing the fuzzy-neural network(FNN) will be presented in this paper. The basic structure of the controller is the parallel combination of a conventional P-controller and a FNN. Such a combination can guarantee the stability of a plant at initial stage before the rules are completely created. And a method how to automatically tunning the parameters of the FNN will be proposed with error back-propagation(BP) algorithm. Finally the effectiveness of the proposed strategy will be verified by computer simulations using a two DOF robot manipulator.

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Chemical kinomics: a powerful strategy for target deconvolution

  • Kim, Do-Hee;Sim, Tae-Bo
    • BMB Reports
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    • v.43 no.11
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    • pp.711-719
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    • 2010
  • Kinomics is an emerging and promising approach for deciphering kinomes. Chemical kinomics is a discipline of chemical genomics that is also referred to as "chemogenomics", which is derived from chemistry and biology. Chemical kinomics has become a powerful approach to decipher complicated phosphorylation-based cellular signaling networks with the aid of small molecules that modulate kinase functions. Moreover, chemical kinomics has played a pivotal role in the field of kinase drug discovery as it enables identification of new molecular targets of small molecule kinase modulators and/or exploitation of novel functions of known kinases and has also provided novel chemical entities as hit/lead compounds. In this short review, contemporary chemical kinomics technologies such as activity-based protein profiling, T7 kinasetagged phages, kinobeads, three-hybrid systems, fluorescenttagged kinase binding assays, and chemical genomic profiling are discussed along with a novel allosteric Bcr-Abl kinase inhibitor (GNF-2/GNF-5) as a successful application of chemical kinomics approaches.

Design of Programming Learning Process using Hybrid Programming Environment for Computing Education

  • Kwon, Dai-Young;Yoon, Il-Kyu;Lee, Won-Gyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.10
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    • pp.1799-1813
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    • 2011
  • Many researches indicate that programming learning could help improve problem solving skills through algorithmic thinking. But in general, programming learning has been focused on programming language features and it also gave a heavy cognitive load to learners. Therefore, this paper proposes a programming activity process to improve novice programming learners' algorithmic thinking efficiently. An experiment was performed to measure the effectiveness of the proposed programming activity process. After the experiment, the learners' perception on programming was shown to be changed, to effective activity in improving problem solving.

Comprehensive evaluation of cleaner production in thermal power plants based on an improved least squares support vector machine model

  • Ye, Minquan;Sun, Jingyi;Huang, Shenhai
    • Environmental Engineering Research
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    • v.24 no.4
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    • pp.559-565
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    • 2019
  • In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters' setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.

Evaluating the Efficiency of Mobile Content Companies Using Data Envelopment Analysis and Principal Component Analysis

  • Cho, Eun-Jin;Park, Myeong-Cheol
    • ETRI Journal
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    • v.33 no.3
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    • pp.443-453
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    • 2011
  • This paper evaluates the efficiency of mobile content firms through a hybrid approach combining data envelopment analysis (DEA) to analyze the relative efficiency and performance of firms and principal component analysis (PCA) to analyze data structures. We performed a DEA using the total amount of assets, operating costs, employees, and years in business as inputs, and revenue as output. We calculated fifteen combinations of DEA efficiency in the mobile content firms. We performed a PCA on the results of the fifteen DEA models, dividing the mobile content firms into those having either 'asset-oriented' or 'manpower and experience-oriented' efficiency. Discriminant analysis was used to validate the relationship between the efficiency models and mobile content types. This paper contributes toward the construction of a framework that combines the DEA and PCA approaches in mobile content firms for use in comprehensive measurements. Such a framework has the potential to present major factors of efficiency for sustainable management in mobile content firms and to aid in planning mobile content industry policies.

Implementation of Hybrid Firewall System (혼합형 방화벽 시스템 구현 연구)

  • Jung, Ji-Moon; Woo, Sung-Gu;Lee, Syng-Ho;Choi, Sung
    • Proceedings of the Korea Database Society Conference
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    • 2000.11a
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    • pp.364-367
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    • 2000
  • 본 논문은 스크리닝 라우터에서 패킷 필터 규칙을 통과한 모든 트래픽이 베스쳔 호스트로 전달되도록 스크린드 호스트 게이트웨이를 사용하였으며, 스크린드 호스트 게이트웨이의 단점인 스크리닝 라우터의 경로정보가 내부 네트워크로 직접 전달되지 않도록 듀얼-홈드 게이트웨이를 사용하였다. 듀얼-홈드 게이트웨이에서는 두 개의 네트워크 인터페이스간에 트래픽이 직접 전달되지 않기 때문에 응용 게이트 웨이 서버를 통해서 트래픽이 전달되고 모든 접속기록이 베스쳔 호스트에 기록되도록 하였다. 또한 외부 네트워크와 내부 네트워크 사이에 완충지역인 DMZ를 두어 공개 서버를 사용하기 쉽게 구현하여, 스크리닝 라우터와 스크린드 호스트 게이트웨이의 문제점을 해결하는 효과적인 혼합형 방화벽 모델을 제안하고자 한다.

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Modeling and Regulator Design for Three-Input Power Systems with Decoupling Control

  • Li, Yan;Zheng, Trillion Q.;Zhao, Chuang;Chen, Jiayao
    • Journal of Power Electronics
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    • v.12 no.6
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    • pp.912-924
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    • 2012
  • In hybrid renewable power systems, the use of a multiple-input dc/dc converter (MIC) leads to simpler circuit and lower cost, when compared to the conventional use of several single-input converters. This paper proposed a novel three-input buck/boost/buck-boost converter, which can be used in applications with various values of input voltage. The energy sources in this converter can deliver power to the load either simultaneously or individually in one switching period. The steady relationship, the power management strategy and the small-signal circuit model of this converter have been derived. With decoupling technology, modeling and regulator design can be obtained under multi-loop control modes. Finally, three generating methods of a multiple-input buck/boost/buck-boost converter is given, and this method can be extended to the other multiple-input dc/dc converters.

An Improved Control Strategy Using a PI-Resonant Controller for an Unbalanced Stand-Alone Doubly-Fed Induction Generator

  • Phan, Van-Tung;Lee, Hong-Hee;Chun, Tae-Won
    • Journal of Power Electronics
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    • v.10 no.2
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    • pp.194-202
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    • 2010
  • The main cause of degradation in an unbalanced stand-alone doubly-fed induction generator (DFIG) system is negative sequence components that exist in the generated stator voltages. To eliminate these components, a hybrid current controller composed of a proportional-integral controller and a resonant regulator is developed in this paper. The proposed controller is applied to the rotor-side converter of a DFIG system for the purpose of compensating the negative stator voltage sequences. The proposed current controller is implemented in a single positive rotating reference frame and therefore the controller can directly regulate both the positive and negative sequence components without the need for sequential decomposition of the measured rotor currents. In terms of compensation capability and accuracy, simulations and experimental results demonstrated the excellent performance of the proposed control method when compared to conventional vector control schemes.