A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In this paper, an MPSO algorithm-based MPPT tracking approach without a PID controller is proposed to achieve the maximum power point (MPP) of a PEMFC. …”
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Time-Efficient Path Planner in 3D Obstacle-Rich Environments Considering the Maximum Turn Rate of a Fixed-Wing Aerial Vehicle by Jonghoek Kim

“…The proposed path plan algorithm constructs a smooth 3D path by considering the maximum turn rate of a fixed-wing aerial vehicle. …”
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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…Utilizing a low-high sorting ranking method, considering mean, maximum, and minimum values for result computation and sorting, we identify the optimal algorithm among all those assessed for various objective functions, alongside assessing the success rate of penalty-vanishing terms. …”
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Algorithms and probabilistic models of parameters of operation of in-plant power supply by E. I. Gracheva, O. V. Naumov, A. N. Gorlov, Z. M. Shakurova

“…As the operating parameters of the system are accepted: the value of the equivalent resistance of the low-voltage electrical network. the amount of active power loss and the amount of electricity loss in the low-voltage network. …”
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Ｒesearch on Timing Synchronization Algorithm for Optical Signal Ｒeceiving by WANG Hong-min, CHEN Yang, LIU Zhen-zhou, WANG Yu, XUE Ping

“…Especially under the condition of low signalto- noise ratio，the bit error rate of the improved algorithm is around 0． 3，while the bit error rate of the S ＆ C algorithm is over 0． 9．…”
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Developing an Algorithm Limiting the Longitudinal Acceleration of an Electric Vehicle by Akop Antonyan, Aleksandr Klimov, Andrey Buchkin, Andrey Keller, Sergey Shadrin, Daria Makarova, Yury Furletov

“…In terms of power, the electric traction drive has maximum torque at low speeds, which internal combustion engines lack. …”
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Analysis of RCS of Low Observable Aircraft in VHF Band by Yi-Ru Jeong, Chan-Sun Park, Young-Kwan Ko, Jong-Gwan Yook

“…Electromagnetic signatures of a low observable aircraft have been studied in VHF band. …”
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Fibre tracing in biomedical images: An objective comparison between seven algorithms. by Youssef Arafat, Cristina Cuesta-Apausa, Esther Castellano, Constantino Carlos Reyes-Aldasoro

“…Three pre-processing filtering options were used as a first step: no filtering, Gaussian low-pass and DnCnn, a deep-learning filtering. Three distance error metrics (total, average and maximum distance from the obtained traces to the ground truth) and processing time were calculated. …”
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A TSN traffic scheduling algorithm combined with enqueue shaping by Wenxuan HAN, Hailong ZHU, Xinxin HE, Yanjue LI, Changchuan YIN

“…Most of the existing studies on the scheduling of mixed traffic in time-sensitive network (TSN) focus on how to ensure low-latency of stream reservation (SR) traffic.However, SR traffic blocks best-effort (BE) traffic for a long time will lead to excessive delay in BE traffic, which is not conducive to the state maintenance of network and the management of system.In order to reduce the maximum end-to-end delay of BE messages, a traffic scheduling algorithm which combines with enqueue shaping was proposed.It reduced the blocking of BE traffic by reducing the reserved bandwidth of SR traffic.The algorithm first added enqueue buffers in front of SR queues.Then, the reserved bandwidth ratio among the same priority traffic was adjusted by setting the number of frames in each enqueue buffer entering the SR queue during enqueue shaping.Finally, it jointed egress shaping to reserve bandwidth resources for each SR flow to match its latency requirement.Simulation results showed that combining enqueue shaping can reduce the maximum end-to-end delay of BE messages by 9.66%～75.76%.…”
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Adaptive spectrum sensing algorithm based on cyclostationary spectrum energy by Hao-ye ZHANG, Zhi-hua BAO, Shi-bing ZHANG

“…Focused on the characteristic of cyclostationary spectrum of signal and the spectrum sensing in low signal-to-noise ratio,an adaptive decision threshold spectrum sensing algorithm was proposed,which combines cyclostationary spectrum sensing with energy detection.By weighting the sum of probabilities of detection and false alarm,estimating the eigenvalues of the cyclostationary spectrum,the algorithm provides an adaptive decision threshold which could differentiate the primary signal from the background noise.The simulation results show that the algorithm could perform well in low signal-to-noise ratio and remove the effect of noise uncertainty on the spectrum sensing.It outperforms maximum-minimum eigenvalue and blind detection with 4dB and 8dB respectively in signal-to-noise ratio,and has robustness to different modulated primary signal.…”
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Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix by Xuemei YANG, Xi HE, Jiapin XU

“…In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.…”
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Siting and Sizing Method of GFM Converters Based on Genetic Algorithm by Wentao Sun, Yi Ge, Guojing Liu, Hui Cai, Quanquan Wang, Xingning Han, Wanchun Qi

“…The rising integration of renewable energy sources has resulted in a diminished capacity for voltage support within the system, which is characterized by low inertia and a reduced short circuit ratio (SCR). …”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…In order to solve the problems of low computational efficiency and low precision in pig detection algorithm based on sliding windows, this paper proposed a simple and efficient pig detection algorithm. …”
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Four-wheel Steering Control Algorithm of Long Wheelbase Vehicles by ZHONG Hanwen, XIAO Lei, CHEN Wenguang, BU Jiling, LIU Biao

“…The simulation results show that, under the steady-state circumferential turning condition with a low-speed turning radius of R15, the four-wheel steering design reduces the passing space from 4.6 m to 3.9 m, effectively improving the tracking ability of the front and rear axles of the vehicle and enhancing the trafficability and safety of the vehicle, and under the pulse condition with a maximum speed of 100 km/h, reduces the peak lateral acceleration from 4 m/s² to 1.5 m/s² and the peak yaw rate from 11°/s to 3°/s. …”
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Optimization of reconfigurable SM2 algorithm over prime filed by Bin LI, Qinglei ZHOU, Xiaojie CHEN, Feng FENG

“…Aiming at the problems of inefficient of software, low utilization of hardware resources and poor scalability of SM2 algorithm, a reconfigurable optimization method of SM2 algorithm over prime filed was proposed.Through in-depth analysis of the SM2 algorithm, starting from different computation stages and characteristics, respectively using KOA fast multiplication, fast modular reduction and Barrett algorithm to achieve recommended or arbitrary parameters of the modular multiplication operation, and the radix-4 extended Euclidean algorithm was optimized and improved to accelerate the modular inverse operation.Then, in the standard projective coordinate system, the Montgomery method was used to improve the efficiency of point multiplication, and the data flow of point addition and double point was optimized to shorten the operation cycle to 12 clocks.At the same time, fast coordinate system conversion was realized inside the FPGA.Finally, the parallel scheduling management of multi-SM2 was designed and implemented to meet the computational requirements of multiple applications.The experimental results show that the optimized SM2 makes full use of FPGA resources and shortens the cycle of point multiplication.The maximum number of calculations per second is 352.48 times higher than the CPU (Intel i5-8300), which improves the performance and scalability.…”
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UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates and excessive model complexity, this paper proposes a drone signal modulation recognition algorithm based on joint features. …”
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Analytical evaluation of the performances of point-of-care and benchtop procalcitonin assays in comparison with the B⋅R⋅A⋅H⋅M⋅S PCT sensitive KRYPTOR assay by Ruiqing He, Xiaobing Sun, Ling Su, Ting Zhu, Jiong Wu, Qi Hou

“…Wondfo and Getein assays exceeded the maximum allowable deviation from linearity, and the Snibe assay failed the recovery assessment. …”
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Low-dimensional multiscale fast SAR image registration method by Jiamu Li, Wenbo Yu, Zijian Wang, Jiaxin Xie, Xiaojie Zhou, Yabo Liu, Zhongjun Yu, Meng Li, Yi Wang

“…These descriptors are usually high-dimensional, resulting in increased computational complexity. To this end, a low-dimensional multiscale fast method for SAR image registration is proposed in this paper. …”
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A feature extraction method based on improved resonance sparse decomposition for early faults in rolling bearings by SUN Meng, GAO Bingpeng, CHENG Jing

“…To overcome the difficulty in early fault diagnosis with weak fault characteristics of rolling bearings that are easily drowned out by noise in the complex operation environment, an early fault diagnosis method was proposed by integrating the improved artificial gorilla troops optimizer (IGTO) algorithm, the optimized resonance-based sparse signal decomposition (RSSD), multi-parameter and sparse maximum harmonics-to-noise-ratio deconvolution (SMHD) method. …”
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Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels by Derrick Mirindi, James Hunter, David Sinkhonde, Tajebe Bezabih, Frederic Mirindi

“…Zinc oxide nanoparticles yield superior dimensional stability by achieving a low TS of 9.33%. However, according to the American National Standard for Particleboard (ANSI/A208.1-1999), most nanoparticle boards produced met general-purpose standards except for WA and TS, which exceeded the maximum limits of 8% and 3%, respectively. …”
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