Whistle identification and solution of a heavy truck transmission by WANG Zirun, OUYANG Heng, LIN Bo, QIAO Xianghe, ZHU Ye, YU Fang, WU Ronghua

“…ObjectiveA heavy truck’s ten-speed transmission was taken as the research objective, the whistling problem under the rapid acceleration in 6th, 7th, and 8th gears was analyzed and solved.MethodsThe order tracking method was used to determine the source of whistling, the gear was optimized through the computer aided engineering (CAE), and the optimization plan was verified through the vehicle noise vibration and harshness (NVH） testing.ResultsIt is discovered that by adjusting the gear order, improving the gear contact ratio, and micro-modification of gears, the problem of whistling can be effectively solved.…”
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Robust wireless statistic division multiplexing and its performance analysis by Zhongqiang Luo, Chengjie Li

“…Second, in terms of robust wireless statistic division multiplexing receiving mechanism based on independent component analysis principle, a novel cost function based on minimization mutual information modified by minimum bit error rate constraint is investigated to improve robust performance of source recovery. Furthermore, independent component analysis–based blind source separation method combines with an adaptive moment estimation stochastic optimization for promoting the effectiveness of the source recovery performance. …”
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Developing a novel approach for passive damped LCL filter and controller parameter design using PSO algorithm in VSC-based islanded microgrids by Yared Bekele Beyene, Getachew Biru Worku, Lina Bertling Tjernberg

“…In this research, a new approach called Particle Swarm Optimization–Proportional–Integral (PSO-PI) is proposed for optimizing the gains of current and voltage controllers as well as the LCL filter parameters in voltage source converter (VSC)-based islanded microgrids. …”
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Exploration Enhanced RPSO for Collaborative Multitarget Searching of Robotic Swarms by Jian Yang, Ruilin Xiong, Xinhao Xiang, Yuhui Shi

“…Particle Swarm Optimization (PSO) is an excellent population-based optimization algorithm. …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…Then, we conducted ablation experiments utilizing the open-source VIRAL and real-world datasets. The experimental results demonstrate that the proposed method exhibits superior positioning accuracy and robustness in contrast to the open-source VINS-MONO and VIR-SLAM methods.…”
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Influence of Using ACO Algorithm in STATCOM Performance by Maha Al-Flaiyeh

“…Two optimization methods were used Ant Colony Algorithm (ACO) and Genetic Algorithm (GA) to adjust the parameters of the outer PI controller. …”
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Nonlinearly coded signals for harmonic imaging by Andrzej NOWICKI, Janusz WÓJCIK, Tamara KUJAWSKA

“…The concept of the virtual fields was introduced to explain properties of both the Pulse Inversion and MNC methods and to compare their abilities. It was shown that for the same on-source pressure an application of the MNC method allows to decrease the mechanical index about 40%, to improve lateral resolution from 10 to 30% and to gain the signal-to-noise ratio up to 8 times with respect to the PI method. …”
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Research on the role of multi-sensor system information fusion in improving hardware control accuracy of intelligent system by Li Xin, Li Yuesong

“…A sensor fusion algorithm combined with global optimization algorithm is innovatively proposed. According to the key frames saved in the previous steps, feature points in local maps, sensor information, and loop information, a global optimization algorithm based on graph optimization model is constructed to optimize the position and pose of intelligent hardware system and the position of spatial feature points. …”
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Noise Emission Assessment and Countermeasures of High-speed Maglev System by Sansan DING, Jianmin GE, Jianqiang GUO, Yanju ZHAO, Shanqiang FU

“…In the design stage of maglev vehicle, the high-speed noise source intensity was deduced according to the existing noise data, and the mode prediction was carried out according to <italic>The guidance on noise and vibration source intensity values and treatment principles in environmental impact assessment of railway construction projects</italic> (2010 Revision) (TJ [2010] No. 44). …”
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Research on False Alarm Rate Reducing Strategies for Subway Train Fire Alarm System by ZHANG Qian, XU Shaohong, XUE Hongquan

“…The false alarm rate can be reduced by hardware optimization methods such as adding dust filter devices, adopting dual light source detectors, multi-parameter gas detectors and pyrolysis particle detectors; the rate can also be reduced by optimizing software algorithms (optimization modeling method, automatic adjustment of alarm thresholds, machine self-learning algorithm, etc.). …”
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Photon-pair generation in a lossy waveguide by Shin Woncheol, Park Kyungdeuk, Kim Hyeongpin, Lee Dongjin, Kwon Kiwon, Shin Heedeuk

“…In this study, propagation loss effects were examined using theoretical and experimental methods. In theory, the performance of quantum light sources, such as brightness, heralding efficiency, and coincidence-to-accidental ratio, strongly depend on propagation loss. …”
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The Multiagent Planning Problem by Tamás Kalmár-Nagy, Giovanni Giardini, Bendegúz Dezső Bak

“…GAID outperformed the Ant Colony Optimization and the Modified Genetic Algorithm. Even though the heuristics specifically developed for Multiple Traveling Salesmen Problem (e.g., k-split, bisection) outperformed GAID, these methods cannot solve the Multiagent Planning Problem. …”
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Research Status and Prospects of Distribution Network Planning Technology Based on Artificial Intelligence by LI Jingru, LI Hongjun, MA Liang, JIANG Shigong, MU Chaoxu, SI Chenyi

“…The traditional planning method based on manual decision-making hinders distribution network optimization due to massive factors， complex structures， and numerous pieces of equipment. …”
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Comparison of Different Independent Component Analysis Algorithms for Output-Only Modal Analysis by Jianying Wang, Cheng Wang, Tianshu Zhang, Bineng Zhong

“…From the principle of independent component analysis (ICA) and the uncertainty of amplitude, order, and number of source signals, this paper expounds the root reasons for modal energy uncertainty, identified order uncertainty, and modal missing in output-only modal analysis based on ICA methods. …”
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Effect of potato pulp as a natural antioxidant on fat oxidation of fish waste during solid-state fermentation by Hananeh Safdari, Zohreh Hamidi-Esfahani

“…The optimized variables included moisture, pH, and bacterial inoculum amount, which were optimized using a full factorial statistical method at three levels. …”
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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Online regularization of Poincaré map of storage rings with Shannon entropy by Yongjun Li, Kelly Anderson, Derong Xu, Yue Hao, Kiman Ha, Yoshiteru Hidaka, Minghao Song, Robert Rainer, Victor Smaluk, Timur Shaftan

“…A measurable chaos indicator is used as the online optimization objective in tuning a complicated nonlinear system—the National Synchrotron Light Source-II storage ring. …”
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Parametrical Synthesis of Radio Devices with the Set Quantity of Identical Cascades for Inclusion Variants of Jet Two-port Networks between a Nonlinear Part and Loading by A. A. Golovkov, A. V. Fomin

“…Non-linear parts are represented as a non-linear element and parallel or serial current or voltage feedback.Materials and methods. Four-pole theory, matrix algebra, decomposition method, method of synthesis of microwave control devices, numerical optimization methods.Results. …”
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT by Jialu Tang, Yali Gao, Xiaoyong Li, Jia Jia

“…By alleviating the gradient biases caused by multi-step local updates from the source, MEFL effectively resolves the issues of inconsistency between global and local optimization objectives. …”
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A new approach for bin packing problem using knowledge reuse and improved heuristic by Jie Fang, Xubing Chen, Yunqing Rao, Yili Peng, kuan Yan

“…In this study, the similarity measurement method based on the twin neural network model is used to evaluate the similarity of pieces in the source task and the target task. …”
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