Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

“…These data are subjected to Proper Orthogonal Decomposition (POD), Spectral Proper Orthogonal Decomposition (SPOD), and Wavelet Transform-POD (WT-POD) for dimensionality reduction to obtain modal data. Comparative analyses are conducted on the modal data obtained from different methods. …”
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ACCURACY ANALYSIS OF UAV COORDINATES USING EGNOS AND SDCM AUGMENTATION SYSTEMS by Kamil KRASUSKI, Damian WIERZBICKI, Małgorzata KIRSCHENSTEIN, Marta ŻUKOWSKA, Paweł GOŁDA

“…Apart from that, another important result of the application of the proposed algorithm was the reduction of outlier positioning errors that reduced the accuracy of the positioning of UAV when a single SBAS solution (EGNOS or SDCM) was used. …”
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STUDENT’S MISTAKES IN SOLVING PROBLEM BASED ON WATSON’S CRITERIA AND LEARNING STYLE by Buhaerah Buhaerah, Muhammad Nasir, M S Dangnga

“…At the same time, the qualitative data analysis techniques include; data reduction, data presentation, and conclusion. The results showed that the errors based on Watson's criteria and learning styles obtained were based on student responses, including; Inappropriate Data 40%, Omitted Conclusion 20%, Response Level Conflict 40%, and Above Other 40%. …”
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Identification and evaluation of human errors of physicians at emergency ward of an educational hospital in Semnan city using SHERPA technique by A Mazloumi, A Kermani, J NaslSeraji, F GhasemZadeh

“…Therefore, current study was conducted to identify and evaluate human error among physicians working at emergency ward using Systematic Human Error and Reduction Prediction Approach (SHERPA) technique in an educational hospital in Semnan, Iran. …”
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Analysis of Student Errors According to the Nolting Procedure on Mathematical Literacy Problems in View of Kolb's Divergent and Assimilation Styles by Luna Stefani, Liana Metta, Doni Azmi Roma

“…This study describes the types of student errors based on the Nolting procedure on mathematical literacy problems in the form of AKM questions in terms of Kolb's divergent and assimilation styles. …”
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Reduced Gaussian Kernel Filtered-x LMS Algorithm with Historical Error Correction for Nonlinear Active Noise Control by Jinhua Ku, Hongyu Han, Weixi Zhou, Hong Wang, Sheng Zhang

“…To further enhance noise reduction, we also develop the historical error correction RGKxLMS (HECRGKxLMS) algorithm, incorporating historical error information. …”
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A Self-Adaptive Regression-Based Multivariate Data Compression Scheme with Error Bound in Wireless Sensor Networks by Jianming Zhang, Kun Yang, Lingyun Xiang, Yuansheng Luo, Bing Xiong, Qiang Tang

“…By designing an incremental algorithm for computing regression coefficients, a multivariate data compression scheme based on self-adaptive regression with infinite norm error bound for WSNs is proposed. According to error bounds and compression incomes, the self-adaption means that the proposed algorithms make decisions automatically to transmit raw data or regression coefficients, and to select the number of data involved in regression. …”
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Geolocation error compensation method for geocoded SAR images using pixel-offset series without control points by Liqun Liu, Zhiwei Li, Yan Zhu, Yifan Zhang, Chenglong Cao, Xun Du, Kun Han, Haiqiang Fu

“…Experiments with geocoded TanDEM-X SAR images near Guangzhou, China, demonstrate that the method (1) is independent of reference image position and can resist the gross geolocation error in geocoding to a certain extent, and (2) improves the root-mean-square error of the geolocation error at the tie-points to 0.72 pixels, a 65% reduction. …”
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Insights into geometric deviations of medical 3d-printing: a phantom study utilizing error propagation analysis by Lukas Juergensen, Robert Rischen, Julian Hasselmann, Max Toennemann, Arne Pollmanns, Georg Gosheger, Martin Schulze

“…The process of medical 3D-printing involves several steps, each of which might be prone to its own set of errors. The segmentation error (SegE), the digital editing error (DEE) and the printing error (PrE) are the most important partial errors. …”
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Application of type I and II error analysis to support economic decision-making of using an immunomodulator feed additive by L.T. Casarotto, A. De Vries, J.D. Chapman, L.O. Ely, G.E. Dahl

“…Based on the field dataset, the reduction in health costs and reproduction were estimated at $0.086 and $0.33/cow per day. …”
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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

“…Therein, error reductions and effectivity indices are consulted to establish the robustness and efficiency of our framework.…”
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Anterior insular cortex glutamate-glutamine (Glx) levels predict general psychopathology via heightened error sensitivity by Haeorum Park, Minchul Kim, Minchul Kim, Jaejoong Kim, Jaejoong Kim, Sunghwan Kim, Sunghwan Kim, Bumseok Jeong

“…IntroductionThe anterior insular cortex (AIC) integrates interoceptive, cognitive-emotional, and error-monitoring signals, and is consistently hyperactive in anxiety and depression. …”
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Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

“…Specifically, the drag reduction rate for the locomotive reached 17%, and that for the trailers was 14%. …”
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RF-Assisted Uncertainty Cone Reduction in Free-Space Optical Inter-Satellite Links by Elena Fernandez-Nino, Juan A. Fraire, Adriano Camps, Joan A. Ruiz-De-Azua

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Piecewise-linear companding transform for peak-to-average power ratio reduction of OFDM signals by YANG Pin-lu, HU Ai-qun

“…In order to reduce the peak-to-average power ratio（PAPR） of orthogonal frequency division multiplexing（OFDM） signals,a piecewise-linear companding transform was proposed.Small amplitudes were multiplied by a scale factor,while large ones were not only multiplied by a scale factor but also added by a shift.The resulting companding transform was piecewise-linear and continuous.It can provide significant PAPR reduction performance with low compu-tational complexity,and has low influence on system performances through piecewise transform.It is shown by theoreti-cal analysis and simulation that,a good trade-off between PAPR reduction and bit-error-rate performances can be achieved by carefully choosing the two scales and the shift.Furthermore,compared with existing linear and nonlinear companding transforms,a better power spectral density performance can be achieved.…”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

“…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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Experimental and Numerical Study of Shape Memory Alloys for Vibration Amplitude Reduction in Mechanical Structures by Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas, Bashar Dan-asabe, Abdulmumin Akoredeley Alabi

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PAPR in AFDM: Upper Bound and Reduction With Normalized μ-Law Companding by Vundela Madhava Reddy, Hanumantharao Bitra

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PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

“…A novel peak-to-average power ratio (PAPR) reduction technique for orthogonal frequency division multiplexing (OFDM) systems is addressed. …”
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