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  1. 2241

    2D-TDOA passive location based on geodetic longitude and latitude by Fangli MA, Yang XU, Peng XU

    Published 2019-05-01
    “…Because of the surface of the earth is not a plane,there may be some errors in the conventional ultra-short wave passive TDOA location method using plane coordinates.In order to use the geodetic longitude and latitude coordinates directly for TDOA location,a series of spherical distance TDOA location models based on spherical two-point distance calculation were proposed.The optimal location models were adopted,and a grid point search method was applied with model validation.The numerical results show that the spherical precise calculation model has the smallest positioning error,which is independent of latitude.Positioning error of the spherical approximation calculation model is worse than the first model,and increases with the increase of latitude.The equidistant orthographic cylindrical projection model has a small positioning error in the low latitudes.However,it has a large positioning error in the middle and high latitudes.The equiangular orthographic cylindrical projection model and the equiareal orthographic cylindrical projection model have a relatively large positioning error,which is around 26% at any latitude and is not applicable.…”
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  2. 2242

    2D-TDOA passive location based on geodetic longitude and latitude by Fangli MA, Yang XU, Peng XU

    Published 2019-05-01
    “…Because of the surface of the earth is not a plane,there may be some errors in the conventional ultra-short wave passive TDOA location method using plane coordinates.In order to use the geodetic longitude and latitude coordinates directly for TDOA location,a series of spherical distance TDOA location models based on spherical two-point distance calculation were proposed.The optimal location models were adopted,and a grid point search method was applied with model validation.The numerical results show that the spherical precise calculation model has the smallest positioning error,which is independent of latitude.Positioning error of the spherical approximation calculation model is worse than the first model,and increases with the increase of latitude.The equidistant orthographic cylindrical projection model has a small positioning error in the low latitudes.However,it has a large positioning error in the middle and high latitudes.The equiangular orthographic cylindrical projection model and the equiareal orthographic cylindrical projection model have a relatively large positioning error,which is around 26% at any latitude and is not applicable.…”
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    Article
  3. 2243

    Filtering and Overlapping Data for Accuracy Enhancement of Doppler-Based Location Method by Rafał Szczepanik, Jan M. Kelner

    Published 2025-02-01
    “…The results demonstrate that the proposed approach minimizes localization errors. The application of low-pass filtering at the DFS vector level improves localization accuracy. …”
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  4. 2244

    Decoding of polar-coded OFDM systems over multipath fading channels with interleaving and channel state information by Mingbao Wu, Yi Yu, Fangying Wan, Yanhua Lin, Yong Li, Zhian Zheng

    Published 2024-12-01
    “…Secondly, we introduce a packet interleaving design after the polar codes encoder to enhance the robustness of polar codes against burst errors. Simulation results demonstrate that the combined application of these two decoding strategies significantly outperforms the conventional scheme in terms of transmission performance over multipath fading channels. …”
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  5. 2245

    Comparison of Three Brillouin Ocean Lidar Models for Estimating Temperature and Salinity by Xiaohong Jia, Guoliang Yan, Xingxing Wu, Ningning Luo, Lei Wang, Jiulin Shi

    Published 2025-02-01
    “…And on this basis, we inverse the temperature and salinity of 0–200 m upper seawater in the South China Sea by employing the dual-wavelength model with the average inversion errors of 0.05 °C and 0.02‰, respectively. The findings presented in this work hold significant importance for the application of Brillouin lidar in remote sensing the distribution of temperature and salinity in ocean.…”
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  6. 2246

    Quantifying and Reducing the Operator Effect in LSPIV Discharge Measurements by G. Bodart, J. Le Coz, M. Jodeau, A. Hauet

    Published 2024-02-01
    “…Abstract Operator choices, both in acquiring the video and data and in processing them, can be a prominent source of error in image‐based velocimetry methods applied to river discharge measurements. …”
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  7. 2247

    Validity and reliability of the XSENSOR in-shoe pressure measurement system. by Daniel Parker, Jennifer Andrews, Carina Price

    Published 2023-01-01
    “…Whole insole measurement error was higher at higher pressures but resulted in average peak and mean pressures error < 10%. …”
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  8. 2248

    Practical Quantum Advantage on Partially Fault-Tolerant Quantum Computer by Riki Toshio, Yutaro Akahoshi, Jun Fujisaki, Hirotaka Oshima, Shintaro Sato, Keisuke Fujii

    Published 2025-05-01
    “…These devices always encounter significant obstacles such as inevitable physical errors and the limited scalability of current near-term algorithms. …”
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  9. 2249

    The Use of Speech Technology in Foreign Language Pronunciation Training by Grażyna DEMENKO, Agnieszka WAGNER, Natalia CYLWIK

    Published 2013-11-01
    “…The paper presents the design of the speech corpus for the purpose of the tutoring system and the analysis of pronunciation errors. The results of the latter provide information which is important for Automatic Speech Recognition (ASR) training on the one hand, and for automatic error detection and feedback generation on the other hand. …”
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  10. 2250

    Promoting the heritage of the city of San Cristobal de La Laguna through a temporal link with a 16th century map by Fernando Pérez Nava, Isabel Sánchez Berriel, Alejandro Pérez Nava, Virginia Gutiérrez Rodríguez, Jesús Pérez Morera

    Published 2022-01-01
    “…Highlights: - This study investigates the issue of georeferencing the first historic map (16th century) of San Cristóbal de La Laguna and the possibility to geolocate current city addresses. - By using the natural interpolation method, the georeferencing errors were diminished below 4 m in most of the historic city. - A user-friendly web application has been designed which precisely locates current directions in the old map providing a valuable tool for the promotion of the heritage of the city.…”
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  11. 2251

    Operation, Administration and Maintenance Capabilities of the AT&T 5ESS Switch by Charles D. Gavrilovich, Robert A. Multra, and Wayne L. Wang

    Published 1988-01-01
    “…The exchange is capable of detecting errors by the use of self-checking hardware, and software which audits data throughout the exchange. …”
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  12. 2252

    Deep Circuit Compression for Quantum Dynamics via Tensor Networks by Joe Gibbs, Lukasz Cincio

    Published 2025-07-01
    “…For all circuit depths and widths tested, we produce circuits with smaller errors than all equivalent depth Trotter unitaries, corresponding to reductions in error by up to 4 orders of magnitude and circuit depth compressions with a factor of over 6.…”
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  13. 2253

    A Motion Compensation Method for Terahertz SAR Imaging with a Large Squint by Yuanfeng Li, Qi Yang, Xiaoqiang Hua, Hongqiang Wang

    Published 2024-12-01
    “…Terahertz-band squint synthetic aperture radars (SARs) can obtain high-resolution images and have application potential in airborne radar systems. However, airborne radars usually have a large squint, which has led to traditional SAR algorithms no longer being applicable to airborne SARs. …”
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  14. 2254

    Development of Hybrid Optimization Model Using Grey-ANFIS-Jaya Algorithm for CNC Drilling of Aluminium Alloy by Katta Lakshmi Narasimhamu, Manikandan Natarajan, Pasupuleti Thejasree, Emad Makki, Jayant Giri, Neeraj Sunheriya, Rajkumar Chadge, Chetan Mahatme, Pallavi Giri, T. Sathish

    Published 2024-01-01
    “…Material removal rate (MRR), surface roughness (SR), and form/orientation error are deemed as output characteristics. Taguchi’s analysis was engaged to discover the best process factors. …”
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  15. 2255
  16. 2256

    Accuracy Assessment of Articulated Industrial Robots using the Extended- and the Loaded-Double-Ball-Bar by Johann August Marwitz, Nikolas Alexander Theissen, Bassante Monica Katherine Gonzalez, Christian Friedrich, Arvid Hellmich, Andreas Archenti, Steffen Ihlenfeldt

    Published 2022-05-01
    “…Advanced measuring trajectories are investigated that regard poses, which maximize the error influences of individual robot components. …”
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  17. 2257

    Machine learning insights for predicting density and hardness in centrifugal SHS synthesized ceramic coatings by N. Radhika, M. Sabarinathan, S. Sivaraman

    Published 2025-09-01
    “…The BR model achieved a Coefficient of Determination (R²) of 0.91, a Root Mean Square Error (RMSE) of 0.10, and a Mean Absolute Error (MAE) of 0.06 for density predictions. …”
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  18. 2258

    Design of a Hierarchical Control Architecture for Fully-Driven Multi-Fingered Dexterous Hand by Yinan Jin, Hujiang Wang, Han Ge, Guanjun Bao

    Published 2025-06-01
    “…The software implements a fuzzy PID algorithm that dynamically adjusts PID parameters based on both the error and the error rate, thereby effectively managing the nonlinear behaviors of the hand. …”
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  19. 2259

    Intelligent 5G-Aided UAV Positioning in High-Density Environments Using Neural Networks for NLOS Mitigation by Morad Mousa, Saba Al-Rubaye

    Published 2025-06-01
    “…The model achieved significant accuracy improvements, with a mean absolute error (MAE) of 1.3 m in line-of-sight (LOS) conditions and 1.7 m in NLOS conditions, and a root mean squared error (RMSE) of approximately 2.3 m. …”
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  20. 2260

    A Comparative Study of One‐Step and Multi‐Step Numerical Methods for Solving Ordinary Differential Equations in Water Tank Drainage Systems by Abebe Alemu Wendimu, Radek Matušů, František Gazdoš, Ibrahim Shaikh

    Published 2025-03-01
    “…MATLAB scripts and Python (Google Colab) were used to evaluate each method's performance by calculating local and global errors, with detailed analyses of error versus step size, error versus computational effort, and computational effort versus step size. …”
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