Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems by Haiyan CAO, Wenjuan HU, Yingjuan ZHI, Fangmin XU, Xin FANG

“…An uplink energy efficiency optimization algorithm based on alternating optimization algorithm was proposed for large-scale multiple-input multiple-output (MIMO) systems with low-precision analog to digital converters (ADC).That is,based on the maximum ratio combining (MRC) reception,an optimization model aiming at maximizing energy efficiency was established,and then the original fractional form optimization problem was converted into an equivalent subtractive form according to the nature of the fractional programming.In the case where the number of quantization bits was constant,the iterative optimization of the transmission power and the pilot length were performed.Simulation results show that the proposed algorithm has better spectral efficiency and energy efficiency.…”
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Characteristics and Detection Algorithm of Strong and Weak Arc in Low Voltage DC Distribution Network by Guoqiang LIU, Guochun LI, Yanan HAO, Guihai LI, Zhongjie WU

“…Based on the preferred value of the nominal voltage of the medium and low voltage DC distribution network in GB/T 35727—2017, the differences of the detected arc characteristics at three different voltage levels of 220 V, 750 V and 1500 V are studied, with the frequency domain characteristics such as Fourier transform, wavelet transform and singular value decomposition, as well as the time domain characteristics such as maximum, minimum, average and standard deviation compared, to obtain high-quality criteria for arc detection at different voltage levels, which proves that the frequency domain characteristics at different times are applicable to varied voltage levels. …”
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Research on Short-term Load Forecasting Algorithm Based on VMD and TCN by WANG Qing, CHEN Zhiru, LI Guimin, JING Zhen, ZHANG Zhi, WANG Pingxin, CUI Qi

“… Aiming at the low accuracy of short-term load forecasting in substation area, a temporal convolutional network short-term load forecasting algorithm based on variational mode decomposition is proposed in this paper. …”
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A modified perturb and observe MPPT algorithm for PEMFC with rapid convergence and low power oscillation by Resat Celikel, Omur Aydogmus, Musa Yilmaz

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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

“…In this paper, a low-complexity receiver is proposed using a Teaching-Learning based optimization (TLBO) heuristic algorithm for a large-scale system. …”
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar, Taha Selim Ustun, Chiranjit Sain, Ahmet Onen

“…This study introduces a new Hippopotamus Algorithm (HA) designed for Maximum Power Point Tracking (MPPT) in solar PV systems connected to direct current (DC) microgrids. …”
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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…The simulation results also confirmed that environmental conditions significantly affect PV panel output and battery State of Charge (SoC), highlighting the necessity for adaptive MPPT solutions.Conclusion: This study provides a unified and realistic comparative analysis of major MPPT algorithms for PV-powered WSNs. The PSO algorithm emerges as the most effective, though its computational complexity may limit its application in low-power systems. …”
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…This paper proposes an algorithm for detecting series arc faults in low-voltage AC residential environments. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…Compared to conventional genetic algorithms, the IGA achieved maximum 5% improvement in both operational cost reduction and carbon emission minimization objectives compared to the unimproved single-objective genetic algorithm, demonstrating its superior performance in multi-objective optimization for low-carbon IESs. …”
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Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation–maximization maximum likelihood and increase of relationships... by Andres Legarra, Matias Bermann, Quanshun Mei, Ole F. Christensen

“…Estimates are accurate in real and simulated data and have a low computational cost.…”
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Iterative rake equalization method for low-complexity OTSM in high-speed mobile environment by Guojun LI, Kun LONG, Changrong YE, Jiawen LIANG

“…Aiming at the problems of poor anti-noise performance and high computational complexity of the existing orthogonal time sequency multiplexing (OTSM) equalization methods, a low-complexity iterative rake equalizer based on maximum ratio combining (MRC) was proposed.The main idea was to use MRC to iteratively extract and coherently combine the received multipath components of the transmitted symbols in the delay-time domain to improve the signal-to-noise ratio of the combined signal.In order to speed up the convergence of the MRC iterative algorithm, a single-tap time-frequency equalizer was designed to provide an initial estimate, and then combined with an external error correction code to further improve the bit error performance.The simulation results show that the performance of the iterative rake equalizer based on MRC is significantly better than that of the LMMSE linear equalizer, and the performance and computational complexity are greatly improved compared with the currently widely used Gauss-Seidel (GS) iterative equalizer.…”
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S-EPSO: A Socio-Emotional Particle Swarm Optimization Algorithm for Multimodal Search in Low-Dimensional Engineering Applications by Raynald Guilbault

“…This paper examines strategies aimed at improving search procedures in multimodal, low-dimensional domains. Here, <i>low-dimensional domains</i> refers to a maximum of five dimensions. …”
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Economic Analysis of Maximum Cross-Section of Submarine Cables for 66 kV Offshore Wind Farm Collection Systems by Chaohui WANG, Songge HUANG, Bin LIN, Yuwei CHEN, Shumin FAN, Zhaohui SHI

“…Since the collection system pooling network has various types of topology and the constraints for selecting the maximum submarine cable cross-section are not considered in the existing optimization studies, there exist low efficiency and high difficulty in the non-convex and non-linear optimization search process of collection system topology, and it is difficult to obtain a global optimal layout scheme. …”
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A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data by Shaowen Luo, Qiuyan Wang, Yinwei Li, Xiaolong Chen, Yiming Zhu

Subjects: “…Low-frequency fitting…”
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N-dimensional maximum-entropy tomography via particle sampling by Austin Hoover

“…We propose a modified maximum-entropy (MENT) algorithm for six-dimensional phase space tomography. …”
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Low complexity codebook search method in massive MIMO system by Jianfei LIU, Liping HE, Ying TAO, Di LIU, Xiangye ZENG, Mengjun WANG

“…In Massive MIMO systems for 5G networks,precoding technology is one of the key technologies.Aiming at user side codebook search method of the discrete Fourier transform (DFT) rotation codebook,a low complexity search algorithm was proposed.In this algorithm,all horizontal and vertical codebooks were grouped separately according to the characteristics that the precoding vectors with the same column of DFT rotation codebooks had the smallest chordal distance and the smaller chordal distance have the stronger correlation,and then the optimal horizontal and vertical codewords with maximum channel gain were obtained to form 3D precoding code-books.The simulation results indicate that the searching complexity of the proposed method is significantly reduced under conditions of insuring the system performance,moreover,this advantage becomes greater with the number of antennas increasing.…”
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Low complexity codebook search method in massive MIMO system by Jianfei LIU, Liping HE, Ying TAO, Di LIU, Xiangye ZENG, Mengjun WANG

“…In Massive MIMO systems for 5G networks,precoding technology is one of the key technologies.Aiming at user side codebook search method of the discrete Fourier transform (DFT) rotation codebook,a low complexity search algorithm was proposed.In this algorithm,all horizontal and vertical codebooks were grouped separately according to the characteristics that the precoding vectors with the same column of DFT rotation codebooks had the smallest chordal distance and the smaller chordal distance have the stronger correlation,and then the optimal horizontal and vertical codewords with maximum channel gain were obtained to form 3D precoding code-books.The simulation results indicate that the searching complexity of the proposed method is significantly reduced under conditions of insuring the system performance,moreover,this advantage becomes greater with the number of antennas increasing.…”
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An Asynchronous Training-Free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios by Junsong Wang, Yuntian Cui, Hongxin Zhang, Haolin Wu, Chen Yang

“…This algorithm is based on the Spatio-temporal equalization multi-window technique (STE-MW) and introduces the Maximum A Posteriori criterion (MAP), which makes full use of prior information to improve the performance of the asynchronous training-free BCI system. …”
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MAXIMUM POWEWR POINT TRACKING SYSTEM FOR PHOTOVOLTAIC STATION: A REVIEW by I. Elzein

“…In general, there is a unique point of PhV operation, called the Maximum Power Point (MPP), in which the PV system operates with maximum efficiency and produces its maximum output power. …”
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A Novel Algorithm for a Low-Cost, Curvature-Continuous Smooth Path with Multiple Constraints on a Cost-Assigned Flat Map by Xu Du, Lu Yang

“…The objective of this paper is to find a low-cost path with continuous curvature on a map with an assigned cost, which passes through all the given landmark points while avoiding obstacles, and satisfies the minimum length of the line segments between the curves and the maximum curvature constraints of the curves. …”
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