• Title/Summary/Keyword: hybrid systems

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A Study on the Hybrid Fractal clustering Algorithm with SOFM vector Quantizer (벡터양자화기와 혼합된 프렉탈의 클러스터링 알고리즘에 대한 연구)

  • 김영정;박원우;김상희;임재권
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.195-198
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    • 2000
  • Fractal image compression can reduce the size of image data by contractive mapping of original image. The mapping is affine transformation to find the block(called range block) which is the most similar to the original image. Fractal is very efficient way to reduce the data size. However, it has high distortion rate and requires long encoding time. In this paper, we present the simulation result of fractal and VQ hybrid systems which use different clustering algorithms, normal and improved competitive learning SOFM. The simulation results showed that the VQ hybrid fractal using improved competitive learning SOFM has better distortion rate than the VQ hybrid fractal using normal SOFM.

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Error Rate and Capacity Analysis for Incremental Hybrid DAF Relaying using Polar Codes

  • Madhusudhanan, Natarajan;Venkateswari, Rajamanickam
    • ETRI Journal
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    • v.40 no.3
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    • pp.291-302
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    • 2018
  • The deployment of an incremental hybrid decode-amplify and forward relaying scheme is a promising and superior solution for cellular networks to meet ever-growing network traffic demands. However, the selection of a suitable relaying protocol based on the signal-to-noise ratio threshold is important in realizing an improved quality of service. In this paper, an incremental hybrid relaying protocol is proposed using polar codes. The proposed protocol achieves a better performance than existing turbo codes in terms of capacity. Simulation results show that the polar codes through an incremental hybrid decode-amplify-and-forward relay can provide a 38% gain when ${\gamma}_{th(1)}$ and ${\gamma}_{th(2)}$ are optimal. Further, the channel capacity is improved to 17.5 b/s/Hz and 23 b/s/Hz for $2{\times}2$ MIMO and $4{\times}4$ MIMO systems, respectively. Monte Carlo simulations are carried out to achieve the optimal solution.

Design and Verification of Hybrid Optical System for LED Surgical Light

  • Kwon, Young-Hoon;Ahn, Sun-Su;Lee, Seung-Jin;Kwon, Ki-Jin
    • Journal of the Optical Society of Korea
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    • v.19 no.4
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    • pp.421-426
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    • 2015
  • This paper presents a hybrid single optical system for an LED surgical light that combines the advantages of both lens- and reflector-type single optical systems. The proposed hybrid single optical system includes a lens in the center and the LED light originating from the lens is redirected using a reflector to achieve a high beam spread. Iterative optical software simulations are used to provide data for the design of the lens and reflector for a single optical system, and for a complex optical system for the LED light assembly. The resulting data is also used to fabricate a prototype system. Experiments using the prototype of the hybrid single optical system and a mock-up LED surgical light confirm the system's shadow dilution performance and its applicability to surgical operations.

Now and the future of Hybrid rocket propulsion system (하이브리드 로켓 추진기관의 현황과 개발방안)

  • Lee Junho;Choi Sunghan;Whang Jongsun;Choi Younggi
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • v.y2005m4
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    • pp.79-82
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    • 2005
  • The hybrid rocket has been known for over 50 years. It is safe and cheap but wasn't widely used for the deficit of low regression rate. However, the hybrid rocket propulsion system will replace a lot of fields of missiles, rockets and propulsion systems of launch vehicles with new development of paraffin based solid fuel composition

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PC-Based Hybrid Grid Computing for Huge Biological Data Processing

  • Cho, Wan-Sup;Kim, Tae-Kyung;Na, Jong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.2
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    • pp.569-579
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    • 2006
  • Recently, the amount of genome sequence is increasing rapidly due to advanced computational techniques and experimental tools in the biological area. Sequence comparisons are very useful operations to predict the functions of the genes or proteins. However, it takes too much time to compare long sequence data and there are many research results for fast sequence comparisons. In this paper, we propose a hybrid grid system to improve the performance of the sequence comparisons based on the LanLinux system. Compared with conventional approaches, hybrid grid is easy to construct, maintain, and manage because there is no need to install SWs for every node. As a real experiment, we constructed an orthologous database for 89 prokaryotes just in a week under hybrid grid; note that it requires 33 weeks on a single computer.

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A HYBRID SCHEME USING LU DECOMPOSITION AND PROJECTION MATRIX FOR DYNAMIC ANALYSIS OF CONSTRAINED MULTIBODY SYSTEMS

  • Yoo, W.S.;Kim, S.H.;Kim, O.J.
    • International Journal of Automotive Technology
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    • v.2 no.3
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    • pp.117-122
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    • 2001
  • For a dynamic analysis of a constrained multibody system, it is necessary to have a routine for satisfying kinematic constraints. LU decomposition scheme, which is used to divide coordinates into dependent and independent coordinates, is efficient but has great difficulty near the singular configuration. Other method such as the projection matrix, which is more stable near a singular configuration, takes longer simulation time due to the large amount of calculation for decomposition. In this paper, the row space and the null space of the Jacobian matrix are proposed by using the pseudo-inverse method and the projection matrix. The equations of the motion of a system are replaced with independent acceleration components using the null space of the Jacobian matrix. Also a new hybrid method is proposed, combining the LU decomposition and the projection matrix. The proposed hybrid method has following advantages. (1) The simulation efficiency is preserved by the LU method during the simulation. (2) The accuracy of the solution is also achieved by the projection method near the singular configuration.

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On-Grid Hybrid PCS Control considering the Momentary Voltage Sag (순간전압강하를 고려한 계통연계형 하이브리드 PCS 제어)

  • Lee, Yong-Sik;Jeong, Sung-Won;Gim, Jae-Hyeon
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1330-1331
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    • 2011
  • The on-grid distributed power system operated antiislanding due to the momently voltage sag of the power system, fault and etc. According to the 'Dispersed Generations in Distribution Systems Connection Technology Standard', the utilizable time ratio of PCS is low because of being put into in the steady state of the power system after 5 minutes. In this paper, the output characteristic is optimized with the hybrid system consisting of the wind system and PV system. And energy of hybrid system is supplied to the power system. Also, DVR function was applied to PCS to compensate the voltage sag frequently happening for a power system. The control performance of the proposed hybrid PCS is analyzed and simulated using PSIM to validate the system performace.

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A Hybrid Bacterial Foraging Optimization Algorithm and a Radial Basic Function Network for Image Classification

  • Amghar, Yasmina Teldja;Fizazi, Hadria
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.215-235
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    • 2017
  • Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.

Pre-Feasibility Study of Stand-Alone Hybrid Energy System for Applications in a Lab (실험실용 독립형 하이브리드 에너지 시스템의 가능성 연구)

  • Li, Ying;Choi, Yong-Sung;Zhang, You-Sai;Lee, Kyung-Sup
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.58 no.4
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    • pp.627-631
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    • 2009
  • As renewable and sustainable energy, solar energy and wind energy have advantages in reducing the pollution sources. The paper presents a hybrid system which includes the solar cell and the wind generator. HOMER provides a platform to design and simulate the power system and then to choose the optimization results. This paper simulates with the HOMER and performs a pre-feasibility study of stand-alone hybrid energy systems for applications in a lab.

Optimal Fuzzy Control of Parallel Hybrid Electric Vehicles

  • Farrokhi, M.;Mohebbi, M.
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.910-914
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    • 2005
  • In this paper an optimal method based on fuzzy logic for controlling parallel hybrid electric vehicles is presented. In parallel hybrid electric vehicles the required torque for deriving and operating the on-board accessories is generated by a combination of internal-combustion engine and an electric motor. The powersharing between the internal combustion engine and the electric motor is the key point for efficient driving. This is a highly nonlinear and time varying plant and its control strategy will be implemented with the use of fuzzy logic controller. The fuzzy logic controller will be designed based on the state of charge of batteries and the desired torque for driving. The output of controller controls the throttle of the combustion engine. The main contribution of this paper is the development of an optimal control based on fuzzy logic, which maximizes the output torque of the vehicle while minimizing fuel consumed by the combustion engine.

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