Showing 601 - 620 results of 29,984 for search '"optimization"', query time: 0.12s Refine Results
  1. 601

    Systematic Framework for Reflectarray Synthesis Based on Phase Optimization by J. Álvarez, M. Arrebola, R. G. Ayestarán, F. Las-Heras

    Published 2012-01-01
    “…A new systematic synthesis framework for reflectarray antennas is discussed. Optimization based on the Levenberg-Marquardt algorithm is used to obtain the phase distribution of the reflection coefficients required on the reflectarray surface, in order to achieve the pattern specifications. …”
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    Article
  2. 602

    Optimization of grain quality parameters for winter rye breeding by M. L. Ponomareva, S. N. Ponomarev

    Published 2019-05-01
    “…On the basis of a prolonged phenotypic evaluation using principal component analysis we have optimized the analyzed indicators of quality properties of winter rye grain. …”
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    Article
  3. 603

    Low-complexity optimal MPSK detection for spatial modulation by Hong-zhi MEN, Ming-lu JIN

    Published 2015-08-01
    “…The low-complexity optimal SM detection algorithm for MQAM signal detection had been proposed,but no similar method was found for MPSK signal.The problem of low-complexity detection for MPSK signal was considered in SM systems.Utilizing 2-D vector quantization of ML demodulation and the property of MPSK constellation,a low-complexity optimal detection which is independent to modulation order was developed.Since the approach avoids the exhaustive searching on signal constellation space,the computational complexity can be significantly reduced.The proposed detection algorithm can provide the identical performance with ML-optimum detector and has lower computational complexity.Therefore,it has both theoretical and practical significance.The proposed algorithm is of great significance in the large antenna and green communication technology.…”
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  4. 604
  5. 605

    Optimal deployment of energy-efficient ultra-dense network by Liang GE, Zhixu WANG

    Published 2017-03-01
    “…In order to maximize energy efficiency, the stochastic geometry method was used to model the uplink of a multi-cell multi-user MIMO cellular network.Then the system power consumption model was ameliorated.Based on this,an energy efficiency maximization problem with respect to base station density,transmit power,the number of base station antennas,users per cell and pilot reuse factor was obtained.Solving the problem,the optimal network deployment,as well as the relationship between the optimal variables,hardware characteristics and propagation environment was obtained.Finally, simulation and numerical results show that the ultra-dense network deployment can significantly improve the energy efficiency.However,with the further increase of the density of the base station,the improvement of the energy efficiency was quickly saturated.More interestingly,the deployment scenario determined by the energy efficiency optimization was just massive MIMO scenarios.…”
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  6. 606

    Analysis and Optimization of Drug Resistant an Phase-Specific Cancer by Andrzej Swierniak, Jaroslaw Smieja

    Published 2005-07-01
    “…To derive necessary conditions for optimal control, the model description is transformed into an integrodifferential one.…”
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  7. 607
  8. 608

    Optimal time to intervene: The case of measles child immunization by Zuzana Chladná

    Published 2018-01-01
    “…Using real options techniques we determine the level of vaccination rate at which it is optimal to perform intervention. We represent immunization rate of newborns as a stochastic process and intervention as a one-period jump of this process. …”
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  9. 609

    Optimized Synthesis of Magnesium Oxide Nanoparticles as Bactericidal Agents by Mohammad Moslem Imani, Mohsen Safaei

    Published 2019-01-01
    “…For this reason, this study was aimed to optimize the synthesis of magnesium oxide nanoparticles with the greatest antibacterial activity. …”
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  10. 610

    Optimal problem of cost function for the linear neutral systems by Jong Yeoul Park, Yong Han Kang

    Published 2001-01-01
    “…We study the optimal control problem of a system governed by linear neutral type in Hilbert space X. …”
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    Mathematical Modeling, Analysis, and Optimal Control of Corruption Dynamics by Haileyesus Tessema Alemneh

    Published 2020-01-01
    “…By using Pontryagin’s maximum principle, necessary conditions for the optimal control of the transmission of corruption were derived. …”
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  14. 614

    Process optimization, texture and microstructure of novel kelp tofu by Xianjiang Ye, Li Chen, Zhichen Su, Xiaojuan Lin, Jicheng Chen

    Published 2023-01-01
    “…Tofu was Chinese traditional food, combining kelp function ingredients with tofu has practical value. The extraction-optimization methodology and the sequences of kelp antihypertensive peptide (KAP) were investigated. …”
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  15. 615

    Optimization of Integrated Impeller Mixer via Radiotracer Experiments by N. Othman, S. K. Kamarudin, M. S. Takriff, M. I. Rosli, E. M. F. Engku Chik, M. A. K. Adnan

    Published 2014-01-01
    “…Thus, in this study, a 4-factor 3-level Taguchi L9 orthogonal array was introduced to obtain an accurate optimization of mixing efficiency with minimal number of experiments. …”
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  17. 617

    Algorithm of grid reliability assessment and reconstruction optimization system by Zhibin ZANG, Peihao ZHENG, Benhai WEI, Zaipei ZHAI, Shengguo MA

    Published 2017-12-01
    “…Based on the research of the reliability of distribution network and the reconstruction of network,a new method was put forward to reconstruct the power grid reliability.Firstly,the evaluation index system was proposed,which included the active network LOSS (LOSS),lack of system power supply (ENS) and the average power supply availability (ASAI).A multi-objective model of distribution network was constructed by normalization,and the multi-objective function was transformed into a new single objective function by using the judgment matrix method,which realized fast calculation of power distribution network reconstruction and optimization.Through IEEE69 example verification,the optimization algorithm can obtain the global optimal solution and reduce the computational time at the same time,effectively solve the problem of the reconstruction of the complex network optimization.…”
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