Reduced-Order Model Development for Airfoil Forced Response by Jeffrey M. Brown, Ramana V. Grandhi

“…The error model is developed from a regression analysis of the relationship between airfoil geometry parameters and reduced-order model error, leading to physics-based error quantification. …”
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A Machine Learning Method for Predicting Driving Range of Battery Electric Vehicles by Shuai Sun, Jun Zhang, Jun Bi, Yongxing Wang

“…The result of the machine learning method shows that the maximum prediction error is 1.58 km, the minimum prediction error is -1.41 km, and the average prediction error is about 0.7 km. …”
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Accuracy and Precision Evaluation of Image-Based Computer Assisted Surgical System for Total Ankle Arthroplasty by Matthew C. Rueff MSc, Zach Tupper, Matthew Hamilton PhD, Prudhvi Chinimilli, Scott Gulbransen, Laureline Prouvost, Edward T. Haupt MD, Laurent Angibaud, Dipl Ing.

“…Both angular and positional overall errors on the tibia were less than 1mm and 1° relative to the plan according to the mean and 95% confidence intervals. …”
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METHOD FOR GENERATOR FREQUENCY EVALUATION UNDER UNPREDICTABLE CHANGES IN MEASUREMENT INTERVAL SIZE by O. A. Safaryan

“…The method of frequency estimation of the simultaneously and independently operating generators under unpredictable changes in the measurement interval size is studied. Errors arising under the method application due to the transiency of the oscillator frequencies on the frequency estimation interval are considered. …”
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Human joint motion data capture and fusion based on wearable sensors by Hua Wang

“…The maximum knee joint and elbow joint data capture errors were 3.8 and 6.1, respectively. The suggested approach, which offers a new path for technological advancement in this area, greatly enhances the precision and dependability of human motion capture, which has a broad variety of application possibilities.…”
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Parameter uncertainties for imperfect surrogate models in the low-noise regime by Thomas D Swinburne, Danny Perez

“…Bayesian regression determines model parameters by minimizing the expected loss, an upper bound to the true generalization error. However, this loss ignores model form error, or misspecification, meaning parameter uncertainties are significantly underestimated and vanish in the large data limit. …”
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Hysteresis and Eddy Currents Effects Simulation in Idling Mode of the Transformer by Yarymbash D.S., Kotsur M.I., Yarymbash S.T., Divchuk T.Ye.

“…The design parameters errors of the power transformer in idle mode can reach 15-20%. or more, because engineering techniques disregard the all factors. …”
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Real-Time Estimation of Near-Surface Air Temperature over Greece Using Machine Learning Methods and LSA SAF Satellite Products by Athanasios Karagiannidis, George Kyros, Konstantinos Lagouvardos, Vassiliki Kotroni

“…Cloud-free conditions were associated to only marginally smaller errors, supporting the applicability of the model under both cloud-free and cloudy conditions.…”
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Performance Evaluation of Low-Cost Infrared Thermal Imagers for Quantitative Surface Temperature Measurement in Building Enclosures by ZHANG Wenhao, SUN Zhen, GAO Siru, WANG Xue, LI Honglian, Yang Liu

“…The study also found that the simplified methods for measuring emissivity and ambient temperature were applicable, particularly in non-uniform environments, and effectively reduced infrared measurement errors. …”
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Novel data-aided SNR estimation algorithm for QPSK signal in AWGN channel by JIANG Zheng-bo, HONG Wei, LIU Jin, TIAN Ling

“…Novel data-aided SNR estimation algorithm for QPSK signal in AWGN channel was presented.The analytical and simulated results show that the new SNR estimator performs better than ML-DA estimators,especially in the condi-tion of low SNR,it is more precise and more reliable,and is not sensitive to phase errors of the receiver.Finally,the ori-gin of the new estimator’s error was explored and some suggestions were made on its application.…”
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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…To this end, a new robust estimate method termed as the augmented inverse estimate is proposed in this work for damage detection of concrete structures to resist gross errors in data. It has the advantages of very simple programming, convenient utilization, high computational accuracy, and broad prospect of application. …”
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Study on DEM Correction Method of Digital Twin Basic Data Baseboard by HONG Minghai, YAN Tao, LIU Hui, WANG Xingjian, JING Na, WANG Shiwei, WEI Wenjie, LI Xinan, FENG Chuqiao

“…DEM is one of the most important digital twin basic data and has played a huge role in water conservancy planning,design,and engineering construction.However,the existence of various DEM errors greatly reduces the credibility of analysis and application results.In particular,the missing value after terrain conversion to DEM greatly limits subsequent DEM-based analysis.Based on the principle of raster calculation,this paper calls the corresponding tool of ArcGIS by Python to correct the missing value at the overlapped area of a certain terrain converted to DEM by using the mean of eight valued pixels around the pixel.The results show that the calculation method is highly applicable,reliable,and fast.The data of the corrected and compared values of 306 NoData pixels in the study area are close to the 1∶1 line;the maximum difference between the corrected and compared values is only 3.55 m,and the medium error value is 0.75,which is far below the standard error limit.Calling Numpy through Python greatly improves the calculation speed (10 s),and ArcGIS currently has no tool for directly correcting this method.In contrast,the DEM correction method proposed in this paper can be processed in batch,without processing failures due to memory limit,which greatly improves the work efficiency and has a strong application value for processing digital twin basic data.…”
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Sensorless Control for PMSM Using FPESO and Improved PLL in the Estimated Coordinate by Li Helin, Fazilah Hassan

“…Owing to stability criteria, the AESO is applicable only to motors with low rated speeds. This lack of effect on position error in the <inline-formula> <tex-math notation="LaTeX">$\gamma \delta $ </tex-math></inline-formula> frame has been verified via simulations and experiments. …”
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A SINS/CNS Integrated Navigation System Based on High Precision Mathematical Horizon Reference by Yuan Ding, Wang Xinlong

“…However, in traditional SINS/CNS integrated navigation system, the mathematical horizon error provided by the SINS diverges over time, leading to a decrease in the accuracy of celestial positioning. …”
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Using Higher Diffraction Orders to Improve the Accuracy and Robustness of Overlay Measurements by Shaoyu Liu, Yan Tang, Xiaolong Cheng, Yuliang Long, Jinfeng Jiang, Yu He, Lixin Zhao

“…This paper introduces a method for improving the measurement performance of single wavelength overlay errors by incorporating higher diffraction orders. …”
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An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm by Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

“…Firstly, this scheme is built with a PP algorithm with forward-looking distance and a PID model for direct error feedback as the base controller. Secondly, the PID and PP algorithms are integrated through the ant colony optimization (ACO) algorithm, with adaptive fusion to adjust the weights and reduce tracking errors quickly and effectively. …”
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Structural stability study of draw-bar for high-speed maglev trains based on the nonlinear analysis method by LIANG Xin, GUO Feng, RAN Lingkun, YU Dalian, LIU Jianxin

“…Taking the draw-bar used on the 600 km/h high-speed maglev trains as the research object, this paper explored the impacts of lightweight materials and machining errors on their structural stability with the critical bucking load as the index, according to the stability analysis principle, using the Euler’s formula, the eigenvalue buckling analysis method and the finite element method, and in consideration of the material nonlinear factors and machining errors, and accordingly reveals the influence of the lightweight design of the draw-bar on their structural stability. …”
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A Novel Method for Screening the PMU Phase Angle Difference Data Based on Hyperplane Clustering by Ancheng Xue, Shuang Leng, Yecheng Li, Feiyang Xu, Kenneth E. Martin, Jingsong Xu

“…A time synchronization error can directly cause an error in the phase angle difference calculated between the two ends of a transmission line that could degrade a PMU based application. …”
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Program Analisis Frekuensi Besaran Rancangan Berbasis Website by Ginanjar Dwi Prasetyo

“…The program demonstrates a high degree of accuracy, with an average relative error of 0.049. However, there is a significant relative error in the Log Pearson III distribution, particularly in the Smirnov-Kolmogorov test, where the relative error reaches 4.155. …”
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EVALUATION OF FLIGHT QUALITY BY RVSM, PBN, CATII, CATIII STANDARDS BASED ON NIKULIN MODIFIED CRITERION by L. O. Marasanov

“…Increasing the reliability requirements to estimate the accuracy characteristics quality of flight operations requires the development and improvement of methods for their evaluation. First of all, the application of methods based on more accurate representations of error models with more correct models of the error probability density distribution is required, especially in the field of large, rare errors. …”
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