A Novel Method for Target Navigation and Mapping Based on Laser Ranging and MEMS/GPS Navigation by Jianhua Cheng, Rene Landry, Daidai Chen, Dongxue Guan

“…However, it is difficult or impossible to realize that for special applications such as the positioning of hostile aircraft. …”
Get full text

A Mechanical Quadrature Method for Solving Delay Volterra Integral Equation with Weakly Singular Kernels by Li Zhang, Jin Huang, Yubin Pan, Xiaoxia Wen

“…Then, we study the convergence and the error estimation of the mechanical quadrature method. …”
Get full text

Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…Artificial neural networks are widely used in applications from various scientific fields and in a multitude of practical applications. …”
Get full text

Generalized q-Method Relative Pose Estimation for UAVs with Onboard Sensor Measurements by Kyl Stanfield, Ahmad Bani Younes, Mohammad Hayajneh

“…This new method solves for the quaternion eigenvalue solution of the optimal pose to minimize the error in the derived system of equations. The generalized q-method extends Davenport’s q-method for satellite attitude estimation by incorporating inertial position into the relative model and eliminating assumptions throughout the derivation that require spacecraft applications. …”
Get full text

A dereverberation beamforming algorithm for noise source localization in anechoic and semi-reverberant environments by R. Singh, A. Mimani, R. Kumar

“…This paper presents a dereverberation beamforming (DBF) technique based on windowing the cross-correlation matrix (CCM) to improve the localization accuracy of beamforming maps for imaging the noise sources generated by real-world applications. Following a trial-and-error procedure, an optimal frequency-dependent half-window width was determined to retain the direct field by multiplying the CCM with optimized Hanning window. …”
Get full text

Performance Testing of Medical Ultrasound Diagnostic Equipment Based on Tissue-Mimicking Phantom by Hao LIU, Longyang JIA, Ruiyao JIANG

“…Through the testing, all performance indicators of the 17 equipments met the requirements of the verification regulations, indicating that they can stably and reliably provide high-quality ultrasound diagnostic images and data in clinical applications. Meanwhile, retrospective data showed that with the increase with the increase in service life, the resolving ability at the far field of the 19 equipments decreased, and the cystic focal diameter error increased. …”
Get full text

Enhancing State of Health Prediction Accuracy in Lithium-Ion Batteries through a Simplified Health Indicator Method by Dongxu Han, Nan Zhou, Zeyu Chen

“…The feasibility of using impedance as an additional input is also explored, despite the challenges of measurement, revealing its potential applications. Validation of the models with different datasets shows that the proposed method achieves both average relative error and root mean square error within 5%, outperforming other methods in terms of minimizing error and ensuring stability. …”
Get full text

Comparative Analysis of SEC DED, EVEN-ODD, and Pyramid Codes for Distributed Storage Systems: A MATLAB-Based Study by Huang Shouhan

“…The research focuses on key metrics such as storage overhead, recovery time, and fault tolerance to elucidate the performance characteristics and practical applicability of each scheme. Single Error Correction Double Error Detection coding balances recovery speed and fault tolerance but incurs higher storage overhead due to its double-parity structure. …”
Get full text

Quantitative study of local defects by pulsed eddy current testing by Zhaoyang Li, Liang Dong

“…Analytical formulas are derived to describe the detection process, providing a foundation for subsequent error analysis. To optimize the detection process, four distinct types of error functions are formulated, and an optimization algorithm is employed to determine the parameters that minimize these error functions. …”
Get full text

Advancing methods for comparative urban research: A city-centric protocol and longitudinal dataset for US metropolitan statistical areas. by Jason R Jurjevich, Katie Meehan, Nicholas M J W Chun, Greg Schrock

“…We discuss broader applications of our methodology and identify advantages and limitations over existing techniques, including potential applications of this work in policy, planning, and future research.…”
Get full text

MANIT: a multilayer ANN integrated framework using biometrics and historical features for online examination proctoring by Manit Malhotra, Indu Chhabra

Get full text

Simulation Study on the Optimization of Temperature Measurement Cable Layout in Rectangular Warehouse during Ventilation by CHU Feng-jiao, WANG Yuan-cheng, YANG Kai-min, DONG Xiao-qian

“…Numerical simulation was used to compare the grain temperature monitoring performance of different cable layouts, and their trade-off were evaluated through error and cost analyses. The results showed that the maximum absolute error in temperature monitoring with the national standard cable layout was 0.70 ℃, and the root mean square error was 25.83%. …”
Get full text

Implementation of an Active Vibration Control System on a Cogeneration Plant by Emanuele Voltolini, Daniel Pinardi, Andrea Toscani, Marco Binelli, Angelo Farina, Jessica Ferrari, Andrea Zenaro, Stefano Maglia, Enrico Calzavacca

“…Usually, in these applications the control devices are loudspeakers, and the error signals come from microphones. …”
Get full text

Evaluating the Influence of Execution Speed on Real-Time Simulation Accuracy: A Buck Converter Case Study by Jesus Camacho, Luis Ibarra, Pedro Ponce

“…Therefore, this study was intended to find a fair balance between computational requirements and RTS error, aiming to identify operating conditions applicable to digital systems. …”
Get full text

Decoding quantum color codes with MaxSAT by Lucas Berent, Lukas Burgholzer, Peter-Jan H.S. Derks, Jens Eisert, Robert Wille

“…In classical computing, error-correcting codes are well established and are ubiquitous both in theory and practical applications. …”
Get full text

An investigation of the private-attribute leakage in WiFi sensing by Yiding Shi, Xueying Zhang, Lei Fu, Huanle Zhang

“…Our experimental results clearly show that our model can identify users’ private attributes in WiFi sensing data collected by general WiFi applications, with almost 100% accuracy for gender inference, less than 4 cm error for height inference, and about 4 kg error for weight inference, respectively. …”
Get full text

Comparative analysis of attentional mechanisms in rice pest identification by Yongjun Xiao, Xiangruo Zhang, Ziao Chen, Jingxuan Tan, Linyu Zhou, Chunxian Jiang, Lijia Xu, Zhiyong Li

“…Meanwhile, this study introduces more detailed evaluation metrics to assess Bionic Attention, including Classification Error, Localization Error, Cls and Loc Error, Duplicate Detection Error, Background Error, and Missed GT Error. …”
Get full text

Optimization Design for Reliability of the Oscillating Follower Disk Cam Mechanism Based on Improved Hunter-Prey Optimization Algorithm by Chao Wang, Wei Peng

“…To quantify the negative effects of dimension error, clearance error of kinematic pair and wear error of cam higher pair on the motion accuracy of oscillating follower disk cam mechanism, a computing model of motion reliability and reliability sensitivity of oscillating follower disk cam mechanism was established. …”
Get full text

Modeling and Control of Permanent Magnet Synchronous Motor Based Electric Vehicle by Rajesh G., K. Sebasthirani

“…Our proposed Hybrid GA-RBL optimized FOPID controller achieved a peak overshoot of 4.0 mm at 900 rpm, settling time of 1.65 s, and steady-state error of 0.6%. Additionally, error metrics were significantly improved, with Integral of Squared Error (ISE) of 0.003 mm 2  s, Integral of Absolute Error (IAE) of 0.045 mm s, and Integral of Time-weighted Absolute Error (ITAE) of 0.021 mm s 2 . …”
Get full text

Performance Comparison of New Adjusted Min-Max with Decimal Scaling and Statistical Column Normalization Methods for Artificial Neural Network Classification by Saichon Sinsomboonthong

“…For example, the proposed adjusted-2 min-max normalization on white wine quality dataset achieved 100% accuracy and 0.00000282 mean square error. To conclude, for some classification applications on one of these specific datasets, the proposed adjusted-2 min-max normalization should be used over the other tested normalization methods because it performed better.…”
Get full text