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High Power Highly Nonlinear Holey Fiber with Low Confinement Loss for Supercontinuum Light Sources

Journal of Electronic Science and Technology 2018年第1期16卷 69-73页

作者： Feroza Begum Juliana Zaini saifullah abu bakar Iskandar Petra Yoshinori Namihira Faculty of Integrated Technologies Universiti Brunei DarussalamGadong BE 1410 University of the Ryukyus Okinawa 903-0213

The high power holey fiber is an efficient supercontinuum light source by using picosecond pulse,which is a less expensive laser source compared with low power and expensive femtosecond laser sources. In this paper, a high power highly nonlinear holey fiber(HN-HF) with a low confinement loss is proposed for supercontinuum light sources. The finite difference method is used to calculate the different properties of the proposed HN-HF. High nonlinear coefficients are obtained at 1.06 μm, 1.31μm, and 1.55μm wavelengths with flattened chromatic dispersion and low confinement losses simultaneously. Moreover, numerical simulation results show that high power broad supercontinuum spectra with very short length of the proposed photonic crystal fiber are achieved.

关键词： Chromatic dispersion effective area holey fiber supercontinuum spectrum

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Adaptive state estimation of groundwater contaminant boundary input flux in a 2-dimensional aquifer

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Journal of Groundwater Science and Engineering 2019年第4期7卷 373-382页

作者： Muhammad Malik Nauman Murtuza Mehdi Asif Iqbal Muhammad saifullah abu bakar Brahim Aissa Dk Nur Afiqah Jalwati Puteri Amer Farhan Rafique Faculty of Integrated Technologies University Brunei DarussalamJalan Tungku LinkGadongBE1410Bandar Seri BegawanBrunei Darussalam Department of Mechanical Engineering NED University of Engineering and TechnologyPakistan College of Science and Engineering Hamad Bin Khalifa UniversityQatar Department of Aeronautical Engineering King Abdulaziz UniversityJeddahSaudi Arabia.

In many circumstances involving heat and mass transfer issues,it is considered impractical to measure the input flux and the resulting state distribution in the ***,the need to develop techniques to provide solutions for such problems and estimate the inverse mass flux becomes *** state estimator(ASE)is increasingly becoming a popular inverse estimation technique which resolves inverse problems by incorporating the semi-Markovian concept into a Bayesian estimation technique,thereby developing an inverse input and state estimator consisting of a bank of parallel adaptively weighted Kalman *** ASE is particularly designed for a system that encompasses independent unknowns and/or random switching of input and measurement *** present study describes the scheme to estimate the groundwater input contaminant flux and its transient distribution in a conjectural two-dimensional aquifer by means of ASE,which in particular is because of its unique ability to efficiently handle the process noise giving an estimation of keeping the relative error range within 10%in 2-dimensional *** simulation results show that the proposed estimator presents decent estimation performance for both smoothly and abruptly varying input flux *** also show that ASE enjoys a better estimation performance than its competitor,Recursive Least Square Estimator(RLSE)due to its larger error tolerance in greater process noise ***'s inherent deficiency of being slower than the RLSE,resulting from the complexity of algorithm,was also *** chosen input scenarios are tested to calculate the effect of input area and both estimators show improved results with an increase in input flux area especially as sensors are moved closer to the assumed input location.

关键词： Adaptive state estimation Aquifer Contamination Groundwater Kalman filter

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太阳能集热器强化传热技术的局限性与挑战

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Journal of Central South University 2023年第11期30卷 3538-3574页

作者： Lukman Ahmed OMEIZA Muhammad ABID Yathavan SUBRAMANIAN Anitha DHANASEKARAN MdMosfiqur RAHMAN saifullah abu bakar Kateryna KOZAK Ukashat MAMUDU abul Kalam AZAD Faculty of Integrated Technologies Universiti Brunei DarussalamJalan Tungku LinkGadong BE1410Brunei Darussalam Department of Electrical Engineering Ternopil Ivan Puluj National Technical University56Ruska Street46001 TernopilUkraine Centre for Advance Material and Energy Science Universiti Brunei DarussalamJalan Tungku LinkGadong BE1410Brunei Darussalam

目前,太阳能集热器在可再生能源领域发挥着至关重要的作用,这在核心能源专家和研究界得到了广泛的认可。由于这种太阳能收集技术的高能量转换率,迫切需要评价方法,以期改善传热过程。前期研究人员主要致力于工作流体的增强上,而忽略了... 详细信息

目前,太阳能集热器在可再生能源领域发挥着至关重要的作用,这在核心能源专家和研究界得到了广泛的认可。由于这种太阳能收集技术的高能量转换率,迫切需要评价方法,以期改善传热过程。前期研究人员主要致力于工作流体的增强上,而忽略了其他同样有助于增强太阳能集热器传热过程的技术,这使得其他方向的研究逐渐过时了。本研究的主要目的是提供最新的进展和方法,以加强太阳能集热器的传热过程的最新概述。研究了传统技术和创新技术,探讨了它们在提高热性能和整体系统效率方面的有效性。对太阳能集热器强化传热技术的最新研究进行了全面的文献综述。确定了主要挑战、知识差距和局限性,并推荐了潜在的未来研究方案。这篇全面的综述将作为研究人员和主要能源参与者的指南,为太阳能集热器领域提供参考的研究方向。

关键词：太阳能集热器增强技术热效率纳米流体蓄热器

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A Hybrid Quantum Inspired Particle Swarm Optimization and Least Square Framework for Real-time Harmonic Estimation

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Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1548-1556页

作者： abu bakar Waqas Muhammad Mansoor Ashraf Yasir saifullah Department of Communication Science and Engineering School of Information Science and TechnologyFudan University Electrical Engineering Department University of Engineering and Technology

The power quality is becoming an extensively addressing aspect of the power system because of the sensitive operation of the smart grid, awareness of power quality, and the equipment of modern power systems. In this paper, we have conceived a new hybrid Quantum inspired particle swarm optimization and least square(QPSO-LS) framework for real-time estimation of harmonics presented in time-varying noisy power signals. The technique has strong, robust, and reliable search capability with powerful convergence properties. The proposed approach is applied to various test systems at different signal to noise ratio(SNR) levels in the presence of uniform and Gaussian noise. The results are presented in terms of precision, computation time, and convergence characteristics. The computation time decreases by 3-5 times as compared to the existing algorithms. The technique is further authenticated by estimating harmonics of real-time current or voltage waveforms, obtained from light emitting diode(LED) lamp and axial flux permanent magnet synchronous generator(AFPMSG). The results demonstrate the superiority of QPSO-LS over other methods such as LS-based genetic algorithm(GA), particle swarm optimization(PSO), bacterial foraging optimization(BFO), artificial bee colony(ABC), and biogeography based optimization with recursive LS(BBO-RLS) algorithms, in terms of providing satisfactory solutions with a significant amount of robustness and computation efficiency.

关键词： Harmonic estimation power quality particle swarm optimization(PSO) least square(LS) smart grid

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