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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Determination of Total Iron in Carbon-Containing Iron Ore by Perchloric Acid-Assisted Digestion and Potassium Dichromate Titration by Shiyuan REN, Yunfeng WANG, Chunying GAO, Nan WANG, Lin WANG, Zaizheng DONG

“…Although the traditional method of roasting to remove carbon before analysis can be used to determine the total iron content in iron ore, this method has large errors, a long analysis cycle (2−4h), and high energy consumption. …”
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Hybrid GOA and PSO optimization for load frequency control in renewable multi source dual area power systems by Muhammad Zubair Yameen, Abdul Khalique Junejo, Zhigang Lu, Rizwan Aziz Siddiqui, Fayez F. M. El-Sousy, Ibtisam Naveed

“…Similarly, in the dual-area IPS, it provides a 76.73% reduction in overshoot, an 87.62% reduction in undershoot, and a 75.68% improvement in rise time. …”
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Limb Body Wall Complex: First Trimester Ultrasonographic Diagnosis of a Case with Exencephaly and Megacystis by Mert Turğal, Aslıhan Yazıcıoğlu, Özgür Özyüncü, M. Sinan Beksaç

“…Despite the anomaly arises from an error occuring during the embryonic folding, the exact pathophysiological mechanisms are poorly understood. …”
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Aberration Effects of Planar Layers in Near-Field Multistatic Millimeter-Wave Imaging by Hakseok Ko, Mooseok Jang

“…Furthermore, based on the simulation results, we provide the relation between the thickness and refractive indices of aberrating layers and the positional error and brightness reduction in a reconstructed image. …”
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A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters by Khoo David Wee Yang, Ng Zhi Qun, Seah Leong Keey

“…The sym6 wavelet & SURE threshold exhibited good noise reduction effect and were used for further analysis. …”
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Enhancing short-packet communications: BLER performance in RIS-assisted ambient backscatter NOMA systems. by Le Si Phu, Tan N Nguyen, Bui Vu Minh, Phu Tran Tin, Miroslav Voznak

“…In this paper, we investigate the block error rate (BLER) performance of a reconfigurable intelligent surface (RIS)-assisted ambient backscatter communication (AmBC) system operating under a non-orthogonal multiple access (NOMA) framework. …”
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Ionic diffusion into the peripheral area of a glow discharge in the electronegative gases by Golovitskii Alexander

“…The said penetration was shown to be responsible for formation of an electron density profile being close to linear within the peripheral area and also for sufficient reduction of its transverse size. The explicit approximate analytic expressions for parameters of electron density profile were found. …”
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Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling by Sebastian KURCZYK, Marek PAWELCZYK

“…Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react with required rate to variation of plant properties or noise nonstationarity. …”
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Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

“…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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Bioinspired Knee Joint for a Power-Assist Suit by Takehito Kikuchi, Kohei Sakai, Isao Abe

“…In addition, in spite of 33% error in deep flexion, the measured torque over less than 120 degrees fits the designed torque curve. …”
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Influence of Friction Forces and Gravity on the Quality of Movement in the MWR Rehabilitation Supporting Device by Bogusz Lewandowski

“…Implementing these compensation functions resulted in a substantial improvement in movement quality, as demonstrated by a reduction of over 50% in the integral of the absolute position error. …”
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Exploring Economic Dynamics and Urbanization in the Context of Environmental Impact: A Study on Capital Flows, Investment Trends, and Urban Growth by Sandip Sarker

“…Leveraging time series data from 1990 to 2021, the research employs robust econometric models, including Ordinary Least Squares (OLS) regression and Error Correction Model (ECM), to disentangle the short-term and long-term influences of these factors on environmental degradation. …”
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A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning by Jian Sun, Jie Li

“…For avoiding a large number of trials and improving the stability, the training of action network introduces supervised learning mechanisms into reduction of long-term cost. The stability of the control system with learning algorithm is analyzed; the upper bound of the tracking error and neural network weights are also estimated. …”
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Mental chronometry in big noisy data. by Edmund Wascher, Fariba Sharifian, Marie Gutberlet, Daniel Schneider, Stephan Getzmann, Stefan Arnau

“…In the present study, we systematically evaluated two different approaches to latency estimation (peak latencies and fractional area latencies) with respect to their data quality and the application of noise reduction by jackknifing methods. Additionally, we tested the recently introduced method of Standardized Measurement Error (SME) to prune the dataset. …”
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Predictability Limit of the 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis by P. Trent Vonich, Gregory J. Hakim

“…The advent of deep‐learning frameworks enables a new approach using backpropagation and gradient descent to iteratively optimize initial conditions, minimizing forecast errors. We apply this approach to the June 2021 Pacific Northwest heatwave using the GraphCast model, yielding over 90% reduction in 10‐day forecast errors over the Pacific Northwest. …”
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Radio frequency fingerprint data augmentation for indoor localization based on diffusion model by Haojun AI, Weike ZENG, Jingjie TAO, Jinying XU, Hanxiao CHANG

“…The radio frequency fingerprint indoor localization method ensures the accuracy by collecting a sufficient amount of fingerprints in the offline state to build a dense fingerprint database.A data augmentation method called FPDiffusion was proposed based on diffusion model to reduce the cost of fingerprint acquisition.Firstly, a temporal graph representation of the fingerprint sequence was constructed, the forward process of the diffusion model was accomplished by adding Gaussian noise, and a U-Net was utilized for the reverse process.The loss function of the network was designed according to the characteristics of radio frequency fingerprints.Finally, the computational process for generating dense fingerprints based on sparse fingerprints was presented.Experimental results demonstrate that FPDiffusion achieves 76% and 28% localization error reduction on K-nearest neighbor (KNN) and convolutional neural network (CNN) respectively, and significantly improves localization accuracy on KNN compared to Gaussian process regression (GPR) and GPR-GAN when only a small amount of labeled fingerprints is available.…”
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Initialization improvement and clustering quality evaluation of K-means algorithm by HE Xuansen, HE Fan, YU Hailan

“…The simulation results show that the average λ test statistic of other algorithms is 2.72 times that of this scheme, and the improved clustering error is reduced by 6.04%.…”
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The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation by Feng BIN, Xu LEI

“…In order to solve the problem of large error of delay estimation in low SNR environment, a new delay estimation method based on cross power spectral frequency domain weighting and spectrum subtraction is proposed. …”
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Two-particle calculations with quantics tensor trains: Solving the parquet equations by Stefan Rohshap, Marc K. Ritter, Hiroshi Shinaoka, Jan von Delft, Markus Wallerberger, Anna Kauch

“…The applied methods allow for an exponential increase of the number of grid points included in the calculations, and a corresponding exponential reduction of the computational error, for a linear increase in computational cost.…”
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