ASSESSMENT WITH HIGH PRECISION OF MEASUREMENT SIGNAL PARAMETERS USING COMPENSATION OF ITS TIME DELAY IN LEAKAGE CHANNELS OF SPEECH INFORMAYTION by V. K. Zheleznyak, I. B. Burachonak

“…High accuracy and sensitivity assessment of the parameters of a complex measurement signal with a large base in information leakage channel on background high level of noise achieved by compensating with a minimum mean square error its time delay and frequency offset.…”
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A Novel Miniaturized Four-Ridged Horn Antenna with Enhanced Gain by Yunqing Cao, Menglong Wang, Daoyuan Sun, Dan Shan

“…The cuboid-shaped polyethylene lens provides good impedance matching between the antenna and the air at low frequencies and decreases the aperture phase error at high frequencies, which optimizes the radiating characteristics in the whole operating band.…”
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Influence of Center Component Floating on the Load-sharing Characteristic of Planetary Transmission System by Yangyang Du, Xiaosun Wang, Xue Yang, Bo Jiao, Shijing Wu

“…In order to investigate the load-sharing performance of the 2K-H planetary gear transmission system， a translation-torsion coupling dynamics model is established with considering the nonlinear factors of time-varying meshing stiffness and the overall meshing error and so on， the dimensionless differential equations with 18 degrees of freedom of the system are deduced in this model. …”
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Improved Response Surface Method Based on Linear Gradient Iterative Criterion by Yu Xia, Wenzheng Kong, Yingye Yu, Yiying Hu, Jinyou Li

“…Aiming at the problem of big calculation error in solving reliability index by the traditional response surface method, an improved response surface method based on the linear gradient iteration criterion is proposed. …”
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Finite-Time Bounded Model-Based Event-Triggered Control for Distributed Fuzzy T-S Systems by Davood Nazari Maryam Abadi, Ali Moarefianpour, Nima Mahdian Dehkordi

“…Model-based state estimation reduces the state error and consequently leads to reduction of data transmission instants. …”
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High Dynamic Optimized Carrier Loop Improvement for Tracking Doppler Rates by Amirhossein Fereidountabar, Gian Carlo Cardarilli, Marco Re

“…The main advantages of this approach are the reduction of the computation complexity and smaller phase error. …”
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A Lightweight Design Method for Aviation Gear Web based on OptiStruct-Abaqus by Yandong Wang, Siyu Chen, Jinyuan Tang

“…The actual optimal design results show that under the condition of guaranteeing strength and transmission error, the overall weight of the gear is reduced by 39.6%, and the effect of weight reduction is obvious, thus realizing the goal of gear lightweight design.…”
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Parental acceptance of novel children's medical syringes and their influencing factors by Su Wen Luo, Peng Rui Yang

“…Technology anxiety and time and error reduction emerge as key factors influencing perceived risks.ConclusionsThis study offers product designers crucial insights into purchasing factors for children's medical products, aims to enhance product development and iteration efficiency, and promotes more accurate innovation, decision-making, and communication. …”
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Active-Margin Transmission Power Control for Wireless Sensor Networks by Byung-Hee Son, Kwang-Jin Kim, Ye Li, Young-Wan Choi

“…The AM-TPC improves the reliability and reduces the power consumption, because it prevents unnecessary retransmission by reducing the number of error packets. By using the AM-TPC in mobile environments, we have experimentally obtained 28.3% reduction in current consumption when compared with using maximum power transmission.…”
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Research on Hybrid Hysteresis Modeling of Harmonic Reducer based on Parallel with Memristor Hysteresis Model and Neural Network by Xuanju Dang, Fang Wei

“…The model validation mean square error is 0.06.…”
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Research on POI quality prediction based on KPCA-GA-BP neural network by Lu LIU, Dan YANG, Ruijie CHEN, Jia LI, Xi ZHOU

“…At present, in network optimization, network quality evaluation and prediction are generally based on communities, and a flexible evaluation system for POI network quality was proposed following the research idea of “research on dimensionality increase and implementation of dimensionality reduction”.However, it involves many network KPI, resulting in a relatively complex evaluation system for POI network comprehensive quality and low prediction accuracy.In order to improve the prediction accuracy of POI network quality, KPCA was used to compress the correlation of input variables of BP neural network, the structure of BP neural network was simplified, and then the connection weights and threshold parameters of BP neural network were optimized through GA.Compared with the prediction results of traditional BP neural network, the prediction accuracy is improved by 10.9%, and the mean square error performance is significantly reduced, it can play a better supporting role in the prediction of POI network quality.…”
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Fault Detection Algorithm for Gaussian Mixture Noises: An Application in Lidar/IMU Integrated Localization Systems by Penggao Yan, Zhengdao Li, Feng Huang, Weisong Wen, Li-Ta Hsu

“…The relationship between GMM-distributed noises and the measurement residual is rigorously established through error propagation, which is utilized to construct the test statistic for a chi-squared test. …”
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Female pseudohermaphroditism due to classical 21-hydroxylase deficiency and insulin resistance in a girl with Turner syndrome by M Emre Atabek, Selim Kurtoğlu, Mehmet Keskin

“…We conclude that chronic hypersecretion of androgen precursors due to an inborn error of metabolism can induce a reduction in insulin sensitivity. …”
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Efficient on-shell matching by Mikael Chala, Javier L. Miras, José Santiago, Fuensanta Vilches

“…The standard off-shell approach to matching requires the use of a Green's basis that includes redundant and evanescent operators. The reduction of such a basis to a physical one is often highly non-trivial, difficult to automate and error prone. …”
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Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

“…Experimental results demonstrated that the system effectively reduced high-frequency noise and gross errors, achieving root mean square error (RMSE) reductions of 51.4% in the E direction, 45.5% in the N direction, and 49.6% in the U direction. …”
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A Novel Multi-Sensor Nonlinear Tightly-Coupled Framework for Composite Robot Localization and Mapping by Lu Chen, Amir Hussain, Yu Liu, Jie Tan, Yang Li, Yuhao Yang, Haoyuan Ma, Shenbing Fu, Gun Li

“…Specifically, the average RMSE ATE (Root Mean Square Error of absolute trajectory Error) improved by 23% to 39%, with reductions from 0.006 to 0.013. …”
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An asymptotically unbiased 3D source localisation method based on frequencies and angles measurements by Chenggeng Zhao, Heyue Huang, Xingpeng Mao, Junjie Lang, Xiuquan Dou

“…To solve the above problem, a quadratic constraint on least squares minimisation is considered in the bias reduction method. Under moderate Gaussian noise, theoretical analysis and simulation results show that the root mean square error of proposed method can significantly reduce positioning deviation and asymptotically approach the Cramer–Rao Lower Bound. …”
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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

“…Results showed significant improvements in forecasting accuracy, with the LSTM model achieving a 59.1% reduction in Mean Absolute Percentage Error compared to the persistence model. …”
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Navigation Decision-Making Method in Estuary Deep Trough with Varying Width of Navigable Waters by HE Yixiong, DAI Yonggang, ZHAO Xingya, YU Deqing, HUANG Liwen

“…A method for obtaining the feasible heading and speed range is established, and a dynamic navigation decision-making method is proposed, which is capable of adapting to the system residual error and the random motion of the target ship under multiple constraints. …”
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Self-adaptive simulation method for natural gas pipeline considering temperature and pressure compensations by Xiong YIN, Bo XU, Tianyao LIU, Kai WEN, Weihe HUANG, Jing GONG

“…Conclusion The proposed self-adaptive simulation method for natural gas pipelines considering temperature and pressure compensations, stands out for its stable algorithm, rapid error correction, and minimal convergence error. …”
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