Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm by Hasan Mahamudul, Mekhilef Saad, Metselaar Ibrahim Henk

“…This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. …”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…In terms of the robustness of the algorithm and the overall performance comparison of different methods,the proposed algorithm can extract the formant robustly from order 9 to 22, and the model algorithm shows the optimal performance when the formant is extracted from order 18. …”
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Establishing scheme and algorithm for dynamic key-path of pair wise key for sensor networks by HU Yu-zhou1, WANG Lei2, CHEN Zhi-ping2, GU Xue-dao3

“…Theoretic studies and figures of computer simulation show that the algorithm has good reliability per- formance and high efficiency, which is suitable for cluster distributed sensor networks.…”
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Groundwater Single- and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards-Inspired Algorithm by AbdolGhafour Gerey, Amirpouya Sarraf, Hassan Ahmadi

“…This is the first attempt to combine the Multiobjective Billiards-Inspired Optimization Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well-distributed range of Pareto options. …”
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SSRC:source rate control algorithm for delay-sensitive flow in data center network by Yang YANG, Min CAO, Jiahai YANG, Rong CHE, Wei LIU

“…Previous work had studied how to ensure the transmission time of delay-sensitive flows,but falled short in its effectiveness for a given period.Motivated by that and based on SDN/OpenFlow framework,a SDN-based source rate control (SSRC) algorithm was proposed.With a global view of network,SSRC can quickly locate the potential congestion node,adjust the transmission rate of source and reduce the response time of SSRC.The experiment results show that compared with DCTCP and other algorithms,SSRC can shorten the completion time of flows by 75% in average,which can ensure the transmission time of delay-sensitive and solve the problem of Incast well.…”
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A Fast Density-Based Clustering Algorithm for Real-Time Internet of Things Stream by Amineh Amini, Hadi Saboohi, Teh Ying Wah, Tutut Herawan

“…Therefore, density-based clustering algorithm is a proper choice for clustering IoT streams. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…Here, we demonstrate how to use the multitask learning algorithm to create a multitime scale model for solar BIPV forecasting. …”
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Three dimensional block-matching video denoising algorithm based on dual-domain filtering by Jin-sheng XIAO, Wen-hao LI, Hong JIANG, Hong PENG, Shen-tian ZHU

“…The dual-domain filtering was used to remove the video noise combining with three dimensional block-matching.The correlation of time-space domain for the video sequence was fully considered.The noisy image was replaced by the result of wavelet thresholding in three dimensional block-matching video denoising algorithm as guide image,so that the base layer was smoother.Then,considering the energy spectrum of the residual matrix,the short-time Fourier transform coefficients were shrinkage which decreased the noise of the detail layer.Experimental results show that the proposed algorithm has better base layer and detail layer than the original dual-domain filtering.The subjective and objective comparison between different algorithms also proves that proposed algorithm has better denoising result.…”
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Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm by Zhu Dachang, Du Baolin, Zhu Puchen, Chen Shouyan

“…Secondly, fuzzy neural network algorithm is proposed, and two kinds of turning parameters are derived for trajectory tracking and contact constant force control. …”
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Cooperative spectrum sensing scheduling scheme based on discrete particle swarm optimization algorithm by Xing ZHANG, Ye WANG, Yi YANG, Qin-yu ZHANG

“…The statistical characteristics of the network state changes were analyzed by using the CTMC model.Considering the difference of each secondary user’s sensing ability,two integer programming problems on cooperative sensing scheduling scheme were established from two aspects:the primary users and the secondary users respectively.A discrete particle swarm optimization algorithm was proposed to solve the integer programming problems,and compared with the traditional random scheduling scheme and greedy scheduling scheme based on SNR.The simulation results show that the cooperative sensing scheduling scheme based on discrete particle swarm optimization algorithm is superior to random scheduling scheme and greedy scheduling scheme based on the SNR,which gets a higher spectrum sensing accuracy.…”
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A hybrid wavelet-wiener noise reduction algorithm for geomagnetic signals in dynamic positioning by Mingduo Li, Jinhua Wang, Liwen Guo, Qinggang Meng, Mengqian Li, Jinliang Hou, Aoze Duan, Haotian Sun

Subjects: “…Wavelet-Wiener noise reduction algorithm…”
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Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm by ZHANG ZhuangZhuang, WANG HongJun, WANG ZengXin

“…In this paper, the convective heat transfer coefficient of the main shaft was optimized by using the lion swarm optimization (LSO) algorithm. Compared with other optimization algorithms such as genetic algorithm, the LSO algorithm has faster convergence speed, higher accuracy, and better global optimal solution. …”
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Detection of Cracks in Rotating Shafts by Using the Combination Resonances Approach and the Approximated Entropy Algorithm by Rodrigo Nicoletti, Aldemir A. Cavalini, Valder Steffen

“…In this context, the uniqueness of this paper relies on the possibility of detecting incipient transverse cracks in rotating shafts by associating the combination resonances approach with the so-called Approximated Entropy algorithm (ApEn algorithm). ApEn is a statistical value used to quantify irregularities in data series. …”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Milone, Dario Santonocito

“…This work aims to create a universal methodology that predicts the limit stress by assessing the change in temperature trend by adopting Neural Networks. A Deep Learning algorithm has been created and trained on experimental data coming from static tensile tests performed on several classes of materials (steels, plastics, composite materials). …”
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Scalable video coding algorithm based on 3D hybrid tree and visual characteristics by Ming-zhe FU, Xiang-hai WANG, Chuan-ming SONG

“…The distribution characteristic of three-dimensional wavelet coefficients of video data was ana ed,and a scalable video coding algorithm was subsequently addressed based on hybrid three-dimensional tree and human visual system (HVS) characteristics.First,the hybrid tree structure was adaptively determined according to the auto-correlation of low-pass and high-pass coefficients.It reduced obviously the number of ion bits locating significant wavelet coefficients when scanning and processing low-pass and high-pass coefficients in temporal dimension.Second,each wavelet coefficient was weighted in terms of HVS sensitivity to its corresponding subband.Significant coefficients thus tended to be coded with high priority and arranged at the front of bitstream,and the reconstructed video quality was improved at low and medium bitrates to a great extent.Experimental results in terms of peak signal-to-noise ratio (PSNR) verified the effectiveness of the proposed algorithm on several test videos with varying characteristics.0.65dB,1.75dB,and 1.77dB higher PSNR are gained than asymmetric 3-D orientation tree for Y,U,and V components,respectively.Moreover,0.23dB,2.11dB,and 1.72dB higher PSNR are reached than single temporal-spatial orientation tree separately for Y,U,and V components.Besides,better subjective quality is obtained through effectively attenuating ringing artifact.…”
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Finocyl Grain Design Using the Genetic Algorithm in Combination with Adaptive Basis Function Construction by Saeed Mesgari, Mehrdad Bazazzadeh, Alireza Mostofizadeh

“…Finally, a case study is done to verify the proposed algorithm. Observed results show that the grain design method reduced the design time significantly, and this algorithm can be used in designing any grain type.…”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…This study introduces an SBO framework tailored for Gaussian process regression models, featuring an automatic kernel construction algorithm coupled with a beam search strategy (AKC-GPR). …”
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Node characteristics based LR-WPAN routing algorithm research for network energy optimization by QIAN Zhi-hong, ZHANG Xiao-fan, WANG Yi-jun, GUAN Ting-yan

“…An enhanced algorithm named F-ZBR was proposed considering the weakness of ZigBee hybrid routing algorithms and the energy consumption in LR-WPAN network.The proposed scheme reduced overall energy consumption of network by the definition of minimum routing energy and controlling the direction of RREQ packet as well as the number of hop,besides the introduction of energy flag in RREQ packet.The analysis on simulation result indicated that F-ZBR performs significantly better than ZBR in packet delivery ratio,available nodes ratio as well as remaining energy ratio.By the algorithm,therefore,it may be depleted that huge data transmission gives rise to over-consuming energy of RN+ nodes or even collapse in ZigBee network.And the algorithm also prolongs the life span of network.…”
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Frame synchronization algorithm based on delay-Doppler domain signal sparsity for OTFS system by CHEN Yang, YANG Haiyan, CHENG Kaiying, LIU Heng, MA Zheng

“…A frame synchronization algorithm based on delay-Doppler domain was proposed for orthogonal time frequency and space (OTFS) modulation systems with a single pilot structure. …”
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A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

“…Abstract Particle Swarm Optimization (PSO), a meta-heuristic algorithm inspired by swarm intelligence, is widely applied to various optimization problems due to its simplicity, ease of implementation, and fast convergence. …”
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