Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar by Xia Li, Buhong Wang

“…The original combinatorial problems are approximated by sequential convex approximations methods which produce solutions with efficiency. Numerical results demonstrate that the proposed method can provide thinned virtual arrays with excellent CRB performance.…”
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Application of the variation operator in a genetic algorithm for the synthesis of fuzzy controllers by I. V. Kulikova

“…This article studies the problem of increasing the efficiency of fuzzy controller synthesis in a control system using a genetic algorithm. …”
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Kinematic Performance Analysis and Dimensional Optimization for 2PUS-PU Parallel Mechanism by Linxian Che, Jian Yi, Bing He, Xuedong Lin

“…The 1T2R 2PUS-PU parallel mechanism with one suitable constrained branch has no unwanted parasitic motion occurred in the constraint directions，then reducing efficiently the control difficulty. Based on the topological characteristic analysis of mechanism，its equations of displacement and orientation，velocity，and acceleration analysis are derived by means of the vector method. …”
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Research on the Prediction Model of Wheel Set Failure Rate for Urban Rail Trains Based on IPSO-BP Algorithm by HE Deqiang, SUN Yi, MENG Jiwei, LIU Jianren

“…Comparisons are made to verify its efficiency. The simulation results show that the prediction error range of IPSO-BP neural network model is 0~5.5%, and the relative error percentage of output value is 0~10%. …”
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Skeleton Enhanced Dispersed Lubricant Particle Based Triboelectric Nanogenerator for Droplet Energy Harvesting by Changjun Yang, Yan Wang, Yamei Wang, Zelinlan Wang, Yurun Guo, Liwen Zhang, Xiaolin Liu, Huawei Chen

“…Furthermore, the SS‐TENG exhibits stable output even under 300% stretching, as the DLPs remain firmly anchored to triboelectric layer during deformation. …”
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Effects of Installation Angle on Energy Harvesting Performance of Airfoil-Based Piezoelectric Energy Harvester by Rongjiang Tang, Dianliang Li, Yanhong Wei, Enze Li, Zeyu You

“…Notably, optimal performance was achieved at a moderate installation angle of 3°, yielding a maximum output voltage of 12.0 V and power output of 0.58 mW, which substantially exceeded the baseline performance at 0° (10.9 V, 0.48 mW). …”
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Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique by Jian Pan, Hao Ma, Xiao Jiang, Wenfang Ding, Feng Ding

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An Approach to Motor Winding Optimization for HEFS Machine-Based Integrated On-Board Charging Systems by Minghao Tong, Yudong Chen, Le Sun

“…In this article, to enhance the power output capability and system efficiency during charging, an approach to motor winding optimization for HEFS machine-based integrated on-board charging systems is proposed and analyzed. …”
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A machine learning approach for wind turbine power forecasting for maintenance planning by Hariom Dhungana

“…Abstract Integrating power forecasting with wind turbine maintenance planning enables an innovative, data-driven approach that maximizes energy output by predicting periods low wind production and aligning them with maintenance schedules, improving operational efficiency. …”
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Spoofing’s Selection and Compensation in the Global Navigation Satellite System Consumer Navigation Equipment with Multi-Channel Antenna System by H. Kh. Saad, M. A. Loban

“…The simulation results are presented, confirming the efficiency of the method.…”
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Analysis of social networks content to identify fake news using stacked combination of deep neural networks by Yujie Li, Yushui Xiao, Yong Huang, Rui Ma

“…For that purpose, this current work presents a new and efficient solution to detecting and spotting spurious news on social media. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…The topology of the model was 40-14-4, that was, the temperature, pH value, dissolved oxygen, and oxidation-reduction potential were the input variables in m=10 consecutive time units, the number of hidden layer nodes was 14, and the output layer was 4. In order to overcome the disadvantages of traditional back propagation (BP) neural network including slow convergence speed, easy to fall into the shock, poor generalization ability and so on, the adaptive variable step size BP-neural network learning algorithm based on the fuzzy method had been developed, which can reduce the learning time of BP-neural network, improve the convergence efficiency and network stability.The computed results for water quality showed good agreement with the measured values. …”
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Exploring pre-service teachers’ generative AI readiness and behavioral intentions by Phuong Bui, Tiina Korhonen, Sini Kontkanen, Sorella Karme, Satu Piispa-Hakala, Marjaana Veermans

“…Challenges primarily involved output quality and prompting difficulties. Participants preferred modifying AI outputs rather than refining prompts, employing strategies like output modification and external verification, though critical evaluation wasn’t always explicit. …”
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Decentralized Nonstationary Fuzzy Neural Network with Meta-Learning-Net by Zhen Zhang, Meiling Yu, Hui Jia

“…By integrating a meta-learning network, we further enhance the output strategy of the NFNN, enabling it to adaptively determine the contribution of individual sub-networks. …”
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RESEARCHES ON DESIGNING OF MEMS STRAPDOWN INERTIAL NAVIGATION VIBRATION DAMPING SYSTEM by DUAN ZhenYu, CHU HaiRong, JIA HongGuang, WANG YuTing

“…To efficiently design damping system of MEMS Strapdown Inertial Navigation System（SINS） which performs well on vibration attenuation,a method to design vibration damping system of MEMS SINS according to transfer function and performance demand were present.First the design of supporter and the assign of vibration damping devices were finished.Then through sine scanning vibration experiment,the amplitude-frequency characteristic curves of the each inertial device in MEMS SINS were obtained,and the vibration damping goal for each inertial device in MEMS SINS were got through the study these curves.At last the amplitude-frequency characteristic curves of the accelerator that sensitive the vibration direction were simulated under logarithmic coordinates,and the design were finished according to outputs requirement.Simulation through MATLAB indicate,after vibration attenuate,designed system perform well in meeting the requirements for outputs of MEMS SINS,meanwhile it decreased the output deviations of three MEMS gyroscope.Simulation indicate,for the vibration damping problem of MEMS SINS,well performed vibration attenuation system can be quickly designed under the output requirement for MEMS SINS through this way.…”
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Economic operation analysis of the power grid combining communication network and distributed optimization algorithm by Yi Zhifei

“…The designed method is feasible for economic dispatch, and its contribution lies in using the distributed discrete-time optimization algorithm to provide scientific and reasonable communication strategy solutions for smart grid operation, thereby improving information transmission efficiency and reducing the loss of communication resources. …”
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Pengukuran Tingkat Eko-Efisiensi Batik Cap Menggunakan Metode Life Cycle Analysis (Studi Kasus: Batik Encim pada Kampoeng Batik Kauman Pekalongan) by Novie Susanto, Thomas Triadi Putranto

“…This eco-efficiency measurement is carried out using the Life Cycle Assessment (LCA) method. …”
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Design and Performance Evaluation of a Sub-6 GHz Multi-Port Coupled Antenna for 5G NR Mobile Applications by Cheol Yoon, Yunsub Lee, Wonmo Seong, Woosu Kim

“…This paper describes a compact multi-port sub-6 GHz multiple-input multiple-output (MIMO) antenna system tailored for 5G NR mobile terminals operating in the n77 (3.3–4.2 GHz), n78 (3.3–3.8 GHz), and n79 (4.4–5.0 GHz) frequency bands. …”
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Waste heat harness in a thermal energy system using TEGs, and SCO2 brayton cycle driven by renewable sources for electricity and liquid hydrogen Production: Thermo-Economic optimiz... by Amr S. Abouzied, Sarminah Samad, Pradeep Kumar Singh, Ahmed H. Janabi, Mohamed Shaban, Asma Ahmed A. Mohammed, Shoira Formanova, H. Elhosiny Ali, Samah G. Babiker, Abdulrahman M. Alansari

“…A detailed techno-economic and environmental model is utilized to assess the system's performance, concentrating on critical indicators such as second law efficiency, total cost rate, hydrogen production rate, net power output, levelized costs, and the rate of CO2 emission reduction. …”
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Thermo-hydro-mechanical coupling mechanisms and sensitivity analysis of abandoned mine thermal energy storage systems by Liyuan LIU, Yaohui LI, Tao WANG, Tongbin ZHAO, Qiang KOU, Zerui MI, Le ZHANG

“…Once the MTES system stabilizes, output temperatures range from 52 ℃ to 58 ℃, with operational efficiency continuously optimizing over time, ensuring long-term performance sustainability. …”
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