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Journal articles on the topic 'Error vector'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Yuan, Tianqing, and Dazhi Wang. "Performance Improvement for PMSM DTC System through Composite Active Vectors Modulation." Electronics 7, no. 10 (2018): 263. http://dx.doi.org/10.3390/electronics7100263.

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In this paper, a novel direct torque control (DTC) scheme based on composite active vectors modulation (CVM) is proposed for permanent magnet synchronous motor (PMSM). The precondition of the accurate compensations of torque error and flux linkage error is that the errors can be compensated fully during the entire control period. Therefore, the compensational effects of torque error and flux linkage error in different operating conditions of the PMSM are analyzed firstly, and then, the operating conditions of the PMSM are divided into three cases according to the error compensational effects.

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2

Kozicki, Sharon, and P. A. Tinsley. "Vector rational error correction." Journal of Economic Dynamics and Control 23, no. 9-10 (1999): 1299–327. http://dx.doi.org/10.1016/s0165-1889(98)00075-x.

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3

Liu, Ji Ping, and Bo Wang. "An Improved Error Concealment Algorithm for Wireless Video Applications." Advanced Materials Research 171-172 (December 2010): 531–35. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.531.

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This paper develops a new error concealment algorithm for the whole-frame losses in wireless video transmission based on H.264/AVC.At first,we propose a forward motion vector extrapolation algorithm based on variable-size block motion vector estimation to obtain the motion vector field of the loss frame without yielding the hole problems. Then, we partition the missing frame into several object regions by clustering the motion vectors, furthermore, we apply median filter to reconstruct the motion vectors for hole areas based on the reliabilities of neighboring motion vectors. Finally, all macr

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CHAITRALI, S. SHEDGE, and H. MADHAVI RAJENDRA. "THREE-LEVEL INVERTER CONTROLLED BY MEANS OF HYSTERESIS CURRENT CONTROL. APPLICATION TO GRID INTEGRATION." JournalNX - A Multidisciplinary Peer Reviewed Journal 2, no. 9 (2016): 5–9. https://doi.org/10.5281/zenodo.1468160.

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This paper describes the operational analysis results of a grid integration of distributed generation sources with an AC grid using multilevel inverter. The multilevel inverter is a three-level voltage source inverter (VSI), which is controlled by means of a novel vector hysteresis current control (V.H.C.C). The proposed V.H.C.C, which is based on error square areas, controls the three-phase load AC currents. The three load current errors are gathered into a single space vector quantity. In this case, the magnitude of the error vector is limited within boundary areas of a square shape. The con

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Wang, Qi, Yingmin Wang, and Guolei Zhu. "Underwater High Precision Wireless Acoustic Positioning Algorithm Based on L-p Norm." Symmetry 16, no. 7 (2024): 890. http://dx.doi.org/10.3390/sym16070890.

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Underwater wireless acoustic positioning technology uses the geometric relationship between a target and a receiving array to determine the target’s position by measuring distances between the target and the array elements, that the receiving array is usually symmetry in space. It is an indirect measurement approach, so ranging errors can significantly impact positioning accuracy due to error transmission effects. To improve precision, a similarity-matched localization algorithm based on the L-p norm (LPM) is introduced. This algorithm constructs a distance vector model with environmental para

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Wang, Dazhi, Tianqing Yuan, Xingyu Wang, Xinghua Wang, and Wenhui Li. "A Composite Vectors Modulation Strategy for PMSM DTC Systems." Energies 11, no. 10 (2018): 2729. http://dx.doi.org/10.3390/en11102729.

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The operation performance of permanent magnet synchronous motors (PMSMs) driven by direct torque control (DTC) are affected by torque error compensation and flux error compensation in each control period. The error compensational effects provided by different vectors under different control strategies are analyzed in this paper. The precondition of accurate error compensation is applied to the proposed novel composite vectors modulation strategy (CVM) for a PMSM DTC system. In CVM-DTC, the operating conditions of PMSM are divided into three cases according to the relationships between the erro

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Wang, Peng, Yujun Kong, and Mingxing Zhang. "Error Self-Calibration Algorithm for Acoustic Vector Sensor Array." Journal of Sensors 2019 (September 4, 2019): 1–10. http://dx.doi.org/10.1155/2019/9052547.

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In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed

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Butcher, Daniel, and Adrian Spencer. "Spurious PIV Vector Correction Using Linear Stochastic Estimation." Fluids 4, no. 3 (2019): 139. http://dx.doi.org/10.3390/fluids4030139.

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Techniques for the experimental determination of velocity fields such as particle image velocimetry (PIV) can often be hampered by spurious vectors or sparse regions of measurement which may occur due to a number of reasons. Commonly used methods for detecting and replacing erroneous values are often based on statistical measures of the surrounding vectors and may be influenced by further poor data quality in the region. A new method is presented in this paper using Linear Stochastic Estimation for vector replacement (LSEVR) which allows for increased flexibility in situations with regions of

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9

Turner, A. J., and D. J. Jacob. "Balancing aggregation and smoothing errors in inverse models." Atmospheric Chemistry and Physics Discussions 15, no. 1 (2015): 1001–26. http://dx.doi.org/10.5194/acpd-15-1001-2015.

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Abstract. Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a

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Turner, A. J., and D. J. Jacob. "Balancing aggregation and smoothing errors in inverse models." Atmospheric Chemistry and Physics 15, no. 12 (2015): 7039–48. http://dx.doi.org/10.5194/acp-15-7039-2015.

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Abstract. Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a

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11

Dai, Xinyan, Xiao Yan, Kelvin K. W. Ng, Jiu Liu, and James Cheng. "Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 51–58. http://dx.doi.org/10.1609/aaai.v34i01.5333.

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Vector quantization (VQ) techniques are widely used in similarity search for data compression, computation acceleration and etc. Originally designed for Euclidean distance, existing VQ techniques (e.g., PQ, AQ) explicitly or implicitly minimize the quantization error. In this paper, we present a new angle to analyze the quantization error, which decomposes the quantization error into norm error and direction error. We show that quantization errors in norm have much higher influence on inner products than quantization errors in direction, and small quantization error does not necessarily lead t

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12

Vapnik, V., and O. Chapelle. "Bounds on Error Expectation for Support Vector Machines." Neural Computation 12, no. 9 (2000): 2013–36. http://dx.doi.org/10.1162/089976600300015042.

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We introduce the concept of span of support vectors (SV) and show that the generalization ability of support vector machines (SVM) depends on this new geometrical concept. We prove that the value of the span is always smaller (and can be much smaller) than the diameter of the smallest sphere containing the support vectors, used in previous bounds (Vapnik, 1998). We also demonstate experimentally that the prediction of the test error given by the span is very accurate and has direct application in model selection (choice of the optimal parameters of the SVM).

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Yuan, Zhigou, Peter A. Vanrolleghem, and Ghislain C. Vansteenkiste. "Modeling error identification of activated sludge models." Water Science and Technology 36, no. 5 (1997): 81–88. http://dx.doi.org/10.2166/wst.1997.0170.

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Information about the location of modeling erros is crucial for the efficient improvement of an invalid model. This article discusses how to pinpoint modeling errors through comparison of experimental data with data obtained through simulation of the invalid model. An observer-based approach is presented. By designing a dedicated observer for the system using the invalid model, a signal vector is generated, on which each modeling error imposes an easily identifiable feature. An algorithm to analyze the featured signal is then presented. With this algorithm, the features of each of the modeling

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14

Yan, Hongliang, Kui Zhang, and Yuhao Xu. "Research on Torque Current Error Control of PMSM Based on Model Predictive Control." Journal of Physics: Conference Series 2404, no. 1 (2022): 012008. http://dx.doi.org/10.1088/1742-6596/2404/1/012008.

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Abstract To solve the problem that the torque pulsation is serious due to the large current error in the period when the duty cycle is calculated by the deadbeat method in the duty cycle dual-vector model predictive current control method, a vector switching method is proposed. The control objective of the proposed method is not to equate the predicted torque current with the reference value under the dead-beat idea, but to reduce the torque current control error by changing the switching time of the voltage vector and ensuring the symmetry of the positive and negative current errors. By deduc

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15

Martusenko, V. E., Yu Yu Dedeshko, and D. Е. Minaev. "The effect of the accuracy of determining the angular ratios of the vectors of a three-phase system on the error of estimating symmetric components." Вестник Северо-Кавказского федерального университета, no. 6 (99) (2023): 16–24. http://dx.doi.org/10.37493/2307-907x.2023.6.2.

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Introduction. Analysis of the quality of electricity based on indicators characterizing voltage asymmetry using the classical method of symmetrical components involves measuring not only an assessment of the voltage modules of a three-phase system, but also their angular ratios. Goal. Assessment of the influence of the angular error of vector measurements of the parameters of a three-phase system on the accuracy of estimating symmetrical components. Materials and methods. As part of the research, a statistical testing method was implemented based on a computational experiment. Results and disc

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16

Efanov, D. V., G. V. Osadchii, and M. V. Zueva. "BERGER CODES IN CONCURRENT ERROR-DETECTION SYSTEMS, IMPLEMENTED ON THE BASIS OF BOOLEAN COMPLEMENT METHOD." Informatika i sistemy upravleniya, no. 1 (2021): 75–89. http://dx.doi.org/10.22250/isu.2021.67.75-89.

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The article deals with the previously unknown characteristics of the error detection by using classical Berger codes based on their multiplicities and types (unidirectional, symmetrical and asymmetrical), which can be applied in the concurrent error-detection (CED) systems synthesis, for example, through the use of Boolean complement method. The article shows that Berger codes do not detect a certain amount of both symmetrical, unidirectional and asymmetrical errors in code words. This differs from the previously identified characteristics of the error detection only in data vectors of Berger

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17

Liu, Zhenyu, Shien Zhou, Chan Qiu, and Jianrong Tan. "Assembly variation analysis of complicated products based on rigid–flexible hybrid vector loop." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 10 (2018): 2099–114. http://dx.doi.org/10.1177/0954405418816851.

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The performance of mechanical products is closely related to their key feature errors. It is essential to predict the final assembly variation by assembly variation analysis to ensure product performance. Rigid–flexible hybrid construction is a common type of mechanical product. Existing methods of variation analysis in which rigid and flexible parts are calculated separately are difficult to meet the requirements of these complicated mechanical products. Another methodology is a result of linear superposition with rigid and flexible errors, which cannot reveal the quantitative relationship be

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18

Pedroni, V. A. "Error-compensated analog cells for vector multiplication and vector quantization." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 48, no. 5 (2001): 511–19. http://dx.doi.org/10.1109/82.938362.

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19

Shi, Gui Xiong, Guo Jun Zhang, Xi Bao Liu, Xiao Yao Wang, and Jiao Xu. "MEMS Vector Hydrophone Structual Error Analysis and Testing." Applied Mechanics and Materials 110-116 (October 2011): 4465–70. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4465.

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In this paper, we analysis the working principle of a cilium-type MEMS vector hydrophone, by analyzing we obtained the errors of the vector micro-sensor are deviations from column cilium. Since the structure is mainly picking up sound vibrations by the cilium, the piezoresistor which on the beams connected by Wheatstone bridge circuit will output the signals, so the deviation of cilium cylinder have greater impact the sensitivity in both directions of vector hydrophone. Through theoretical calculation and finite element simulation of the sensitive structure of the error analysis. By the struct

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20

Deng, Hong Tao. "An Improved Error Concealment Based on Redundant Motion Vector Information." Advanced Materials Research 532-533 (June 2012): 1219–24. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1219.

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During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improv

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21

YAMANOUCHI, S., K. KUNIHIRO, and H. HIDA. "OFDM Error Vector Magnitude Distortion Analysis." IEICE Transactions on Electronics E89-C, no. 12 (2006): 1836–42. http://dx.doi.org/10.1093/ietele/e89-c.12.1836.

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22

Belantari, A. "Error estimate in vector Padé approximation." Applied Numerical Mathematics 8, no. 6 (1991): 457–68. http://dx.doi.org/10.1016/0168-9274(91)90108-c.

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23

Schmidt, David A., Michael Joham, and Wolfgang Utschick. "Minimum mean square error vector precoding." European Transactions on Telecommunications 19, no. 3 (2008): 219–31. http://dx.doi.org/10.1002/ett.1192.

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24

Santika, Putri Aura, Dewi Retno Sari Saputro, and Nughthoh Arfawi Kurdhi. "Analisis Bibliometrik Vector Error Correction Model." NUCLEUS 5, no. 1 (2024): 37–45. http://dx.doi.org/10.37010/nuc.v5i1.1541.

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Analisis Bibliometrik adalah teknik kuantitatif untuk menganalisis literatur ilmiah hal ini mencakup penghitungan jumlah publikasi, analisis sitasi, dan penemuan tren penelitian. Analisis bibliometrik berguna dalam memahami serta mengklasifikasikan dokumen yang diterbitkan dan bisa menjelaskan perkembangan yang sedang berlangsung serta penelitian baru terkait topik yang ditentukan. Alat pemetaan yang dapat digunakan adalah VOSviewer untuk memvisualisasikan peta grafis bibliometrik. Artikel ini bertujuan memberikan arah atau landasan terhadap penelitian selanjutnya terkait vector error correcti

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25

Kadaj, Roman. "The combined geodetic network adjusted on the reference ellipsoid – a comparison of three functional models for GNSS observations." Geodesy and Cartography 65, no. 2 (2016): 229–57. http://dx.doi.org/10.1515/geocart-2016-0013.

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Abstract The adjustment problem of the so-called combined (hybrid, integrated) network created with GNSS vectors and terrestrial observations has been the subject of many theoretical and applied works. The network adjustment in various mathematical spaces was considered: in the Cartesian geocentric system on a reference ellipsoid and on a mapping plane. For practical reasons, it often takes a geodetic coordinate system associated with the reference ellipsoid. In this case, the Cartesian GNSS vectors are converted, for example, into geodesic parameters (azimuth and length) on the ellipsoid, but

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26

Nagaraj, Vikas. "Automating Test Vector Validation for Silicon Verification at Scale." International Journal of Engineering and Architecture 2, no. 1 (2025): 76–113. https://doi.org/10.58425/ijea.v2i1.358.

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This research examines the effect of automated processes on test vector validation for silicon verification and the aspects that lead to better efficiency, error minimization, and successful first-time-right silicon transformations within the manufacturing process in semiconductor companies. As the functionality of devices such as GPUs or AI accelerators continues to grow more complex, traditional word-of-mouth validation methods often fail to meet performance needs, and the industry dictates its deadline-driven schedules. The research explores the influence of AI-driven instruments, such as S

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Zhang, Rong, Huanhuan Su, Jialin Wei, et al. "Study on the Method of Tilt Error Compensation for a Laser On-machine Measurement System." Journal of Physics: Conference Series 2569, no. 1 (2023): 012064. http://dx.doi.org/10.1088/1742-6596/2569/1/012064.

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Abstract This paper proposes a spindle vector compensation method based on laser triangulation for the inclination measurement error of a laser on-machine measurement system. By using the fixed relationship between the calibration vector and the spindle vector, the laser’s axis vector and the surface’s normal vector coincide in the actual measurement by adjusting the spindle vector. The tilt measurement and calculation errors are compensated simultaneously using this spindle vector compensation method.

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Corazza, M., E. Kalnay, D. J. Patil, et al. "Use of the breeding technique to estimate the structure of the analysis "errors of the day"." Nonlinear Processes in Geophysics 10, no. 3 (2003): 233–43. http://dx.doi.org/10.5194/npg-10-233-2003.

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Abstract. A 3D-variational data assimilation scheme for a quasi-geostrophic channel model (Morss, 1998) is used to study the structure of the background error and its relationship to the corresponding bred vectors. The "true" evolution of the model atmosphere is defined by an integration of the model and "rawinsonde observations" are simulated by randomly perturbing the true state at fixed locations. Case studies using different observational densities are considered to compare the evolution of the Bred Vectors to the spatial structure of the background error. In addition, the bred vector dime

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29

Xie, Rukuan, Shengqing Xiong, Shuling Duan, et al. "Noise estimation in vector magnetic data derived from airborne vector magnetic system." GEOPHYSICS 85, no. 4 (2020): J71—J83. http://dx.doi.org/10.1190/geo2019-0663.1.

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The accuracy of the airborne vector magnetic (VM) survey mainly depends on the attitude measurement precision of the aircraft. An orientation change of 0.001° can produce an error of approximately 1 nT in VM components for a geomagnetic field of 50,000 nT. Therefore, noise estimation or accurate understanding of noise characteristics of measured airborne VM data plays an important role in geophysical applications. A new airborne VM system with high-precision attitude measurement (0.003°–0.007° root-mean square [rms]) for geophysical prospecting was developed. We have analyzed the results from

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Wang, Jianguo, Benjamin Brunson, and Baoxin Hu. "Innovative Formulation in Discrete Kalman Filtering with Constraints - A Generic Framework for Comprehensive Error Analysis." Journal of Global Positioning Systems 18, no. 1 (2022): 56–69. http://dx.doi.org/10.5081/jgps.18.1.56.

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This manuscript establishes a generic framework for comprehensive error analysis in discrete Kalman filtering with constraints, which systematically provides a complete set of algorithmic formulas along with demonstrating an alternative process of theoretical analytics of discrete Kalman filter. This constructive work aims extensively to standardize the formulation of Kalman filter with constraints. In analogy to the similar framework for standard discrete Kalman filter (without any constraints), the proposed framework specifically considers: model formulation vs. the error sources, the soluti

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Jung, Kang-Mo. "Robust least squares support vector machine with the absolute error function." Korean Data Analysis Society 26, no. 6 (2024): 1661–70. https://doi.org/10.37727/jkdas.2024.26.6.1661.

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Carlos, Hernandez, Lagos Dafne, Leal Paola, and Castillo Jaime. "Emergency patient forecasting with models based on support vector machines." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3129–40. https://doi.org/10.11591/ijai.v13.i3.pp3129-3140.

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Understanding the dynamic nature of the influx of patients is crucial for efficiently managing supplies, medical personnel, and infrastructure in an emergency room (ER). While overestimation can lead to resource wastage, underestimation can result in shortages and compromised service quality. This study addresses emergency patient forecast by means of implementing support vector machine (SVM) algorithms. Along four phases (analysis, design, development, and validation), more than 50,000 ER records were preprocessed and analyzed. Traditional error metrics such as mean absolute error (MAE), mean

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33

D. Tam, Nicoladie. "Self-Corrective Autonomous Systems using Optimization Processes for Detection and Correction of Unexpected Error Conditions." IAES International Journal of Robotics and Automation (IJRA) 5, no. 4 (2016): 262. http://dx.doi.org/10.11591/ijra.v5i4.pp262-276.

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<p>A theoretical framework for autonomous self-detection and self-correction of unexpected error conditions is derived by incorporating the principles of operation in autonomous control in biological evolution. Using the biologically inspired principles, the time-dependent multi-dimensional disparity vector is used as a quantitative metric for detecting unexpected and unforeseeable error conditions without any external assistance. The disparity vector is a measure of the discrepancy between the expected outcome predicted by the autonomous system and the actual outcome in the real world.

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Zhang, Jing Mei, Lei Xue, Rui Min Zhang, and Chang Yin Sun. "Robust Tracking Control for 3 DOF Helicopter Based on Least Squares Support Vector Machine." Applied Mechanics and Materials 313-314 (March 2013): 370–73. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.370.

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A robust tracking control method for 3 DOF helicopter via least squares support vector machine with considering uncertainty and bounded disturbance is proposed in this paper. The inversion errors which is brought due to modeling errors and uncertainty can be compensated by least squares support vector machine, and the optimal regulator guaranteed dynamic characteristics of approximate linearization system and response quality of tracking error dynamic. Finally, the stability and convergence analysis of error dynamic system is proven by Lyapunov stability theory and numerical simulations have d

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Deng, Yong Hong, Shu Kun Cao, Jie Lv, Kun Zhang, and Kai Feng Song. "Error Model of Machine Tool Based on Cutter Contacting Point Vector Chain." Applied Mechanics and Materials 668-669 (October 2014): 168–71. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.168.

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Error modeling and analysis can improve the manufacturing precision and the error compensation accuracy of machine tool. According to the surface of the parts topography information, this paper puts forward a kind of error model of machine tool based on cutter contacting point vector chain. Based on analyzing the cutter contacting point of one tool path which is on the surface of the parts, Based on analyzing action rules of a single cutter contacting point error, the cumulative rules of errors and calculation methods were introduced detailedly, and an application demonstration is given.

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Mahesh, Rayala, P. M Francis, and B. Prasad Kumar. "Low-Error Vector compensation and correction of Dual Group Input Vector and Hardware-Efficiency Using Fixed-Width Multiplier." International Journal of Scientific Engineering and Research 1, no. 1 (2013): 50–53. https://doi.org/10.70729/2130912.

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Xu, Feng, Hai Jin, Xingwang Yang, et al. "Improved accuracy using a modified registration method of ROSA in deep brain stimulation surgery." Neurosurgical Focus 45, no. 2 (2018): E18. http://dx.doi.org/10.3171/2018.4.focus1815.

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OBJECTIVEThe aim of this study was to determine whether a modified registration method could reduce registration error and postoperative electrode vector error and to analyze the method’s clinical significance in deep brain stimulation (DBS) surgery.METHODSThe first part of the study involved a skull model, in which three registration methods were tested using the ROSA (robotic stereotactic assistance) system. In the second part, four registration methods were clinically tested in patients undergoing DBS surgery using the ROSA system. Thirty-three patients (65 sides, group I) underwent the con

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Beck, Alexander, and Martin Ehrendorfer. "Singular-Vector-Based Covariance Propagation in a Quasigeostrophic Assimilation System." Monthly Weather Review 133, no. 5 (2005): 1295–310. http://dx.doi.org/10.1175/mwr2909.1.

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Abstract Variational data assimilation systems require the specification of the covariances of background and observation errors. Although the specification of the background-error covariances has been the subject of intense research, current operational data assimilation systems still rely on essentially static and thus flow-independent background-error covariances. At least theoretically, it is possible to use flow-dependent background-error covariances in four-dimensional variational data assimilation (4DVAR) through exploiting the connection between variational data assimilation and estima

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Bourassa, Mark A., and Kelly McBeth Ford. "Uncertainty in Scatterometer-Derived Vorticity." Journal of Atmospheric and Oceanic Technology 27, no. 3 (2010): 594–603. http://dx.doi.org/10.1175/2009jtecho689.1.

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Abstract A more versatile and robust technique is developed for determining area-averaged surface vorticity based on vector winds from swaths of remotely sensed wind vectors. This technique could also be applied to determine the curl of stress, and it could be applied to any gridded dataset of winds or stresses. The technique is discussed in detail and compared to two previous studies that focused on early development of tropical systems. Error characteristics of the technique are examined in detail. Specifically, three independent sources of error are explored: random observational error, tru

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40

Hernandez, Carlos, Dafne Lagos, Paola Leal, and Jaime Castillo. "Emergency patient forecasting with models based on support vector machines." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3129. http://dx.doi.org/10.11591/ijai.v13.i3.pp3129-3140.

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<p>Understanding the dynamic nature of the influx of patients is crucial for efficiently managing supplies, medical personnel, and infrastructure in an emergency room (ER). While overestimation can lead to resource wastage, underestimation can result in shortages and compromised service quality. This study addresses emergency patient forecast by means of implementing support vector machine (SVM) algorithms. Along four phases (analysis, design, development, and validation), more than 50,000 ER records were preprocessed and analyzed. Traditional error metrics such as mean absolute error (M

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Ma, Shangjun, Guanyu Wu, Jianxin Zhang, Wenzhu Deng, Lizhong Xie, and Yong Zhou. "A comprehensive error analysis of the planetary roller screw mechanism." Advances in Mechanical Engineering 14, no. 5 (2022): 168781322211006. http://dx.doi.org/10.1177/16878132221100687.

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To reveal the error generation, transmission, and accumulation process, a comprehensive error analysis model is proposed in this paper; furthermore, the model is used to determine the influence on the transmission error and the error sensitivity of a planetary roller screw mechanism (PRSM). After error source analysis, the differential error vector and matrix are used to express the small errors because the magnitude of all errors in the PRSM is relatively small. To comprehensively consider the error coupling relationship between thread structure errors and gear structure errors, error flow mo

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Uboldi, F., and A. Trevisan. "Multiple-scale error growth in a convection-resolving model." Nonlinear Processes in Geophysics 22, no. 1 (2015): 1–13. http://dx.doi.org/10.5194/npg-22-1-2015.

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Abstract. The properties of the multiple-scale instabilities present in a non-hydrostatic forecast model are investigated. The model simulates intense convection episodes occurring in northern Italy. A breeding technique is used to construct ensembles of perturbations of the model trajectories aimed at representing the instabilities that are responsible for error growth on various timescales and space scales. By means of perfect model twin experiments it is found that, for initial errors of the order of present-day analysis error, a non-negligible fraction of the forecast error can be explaine

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Wang, Junzheng, and Hongzhan Lv. "Modification and Optimization of Cycloidal Gear Tooth Profile Based on Machining Error Compensation." Applied Sciences 13, no. 4 (2023): 2581. http://dx.doi.org/10.3390/app13042581.

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The rotary vector reducer presents high precision and load capacity characteristics. The shape of the cycloidal gear tooth profile in the rotary vector reducer significantly affects its performance. Meanwhile, the effect of the machining error on the error between the designed and theoretical tooth profiles cannot be ignored. Thus, this paper analyzes the machining error items that affect the shape of the cycloidal gear profile from the machining process perspective. Due to the random characteristics and different distribution rules inherent in various machining errors, this paper proposes a c

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Shin, Jaewook, Jeesu Kim, Tae-Kyoung Kim, and Jinwoo Yoo. "An Enhanced Affine Projection Algorithm Based on the Adjustment of Input-Vector Number." Entropy 24, no. 3 (2022): 431. http://dx.doi.org/10.3390/e24030431.

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An enhanced affine projection algorithm (APA) is proposed to improve the filter performance in aspects of convergence rate and steady-state estimation error, since the adjustment of the input-vector number can be an effective way to increase the convergence rate and to decrease the steady-state estimation error at the same time. In this proposed algorithm, the input-vector number of APA is adjusted reasonably at every iteration by comparing the averages of the accumulated squared errors. Although the conventional APA has the constraint that the input-vector number should be integer, the propos

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Verma, Neetu, Sujoy Das, and Namita Srivastava. "Multiple kernel support vector regression for pricing nifty option." International Journal of Applied Mathematical Research 4, no. 4 (2015): 488. http://dx.doi.org/10.14419/ijamr.v4i4.5023.

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<p>The goal of present experiments is to investigate the use of multiple kernel learning as a tool for pricing options in the context of Indian stock market for Nifty index options. In this paper, fair price of an option is predicted by Multiple Kernel Support Vector Regression (MKLSVR) using linear combinations of kernels and Single Kernel Support Vector Regression (SKSVR). Prices of option highly depend on different money market conditions like deep-in-the-money, in-the-money, at-the-money, out-of-money and deep-out-of-money condition. The experimental study attempts to identify the fo

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Erwina, Emmy, Tommy Tommy, and Mayasari Mayasari. "Indonesian Spelling Error Detection and Type Identification Using Bigram Vector and Minimum Edit Distance Based Probabilities." SinkrOn 6, no. 1 (2021): 183–90. http://dx.doi.org/10.33395/sinkron.v6i1.11224.

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Spelling error has become an error that is often found in this era which can be seen from the use of words that tend to follow trends or culture, especially in the younger generation. This study aims to develop and test a detection and identification model using a combination of Bigram Vector and Minimum Edit Distance Based Probabilities. Correct words from error words are obtained using candidates search and probability calculations that adopt the concept of minimum edit distance. The detection results then identified the error type into three types of errors, namely vowels, consonants and di

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He, Zhen Ya, Jian Zhong Fu, and Xin Hua Yao. "Volumetric Error Modeling and Analysis for CNC Machine Tool Based on Multi-Body System." Key Engineering Materials 426-427 (January 2010): 441–46. http://dx.doi.org/10.4028/www.scientific.net/kem.426-427.441.

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With the development of the CNC precision machining and the ultra-precision machining, machine tools error issue has became the most active research topics and concerned by more and more experts. In this paper, a rapid simulation software platform based on multi-body system theory and Matlab software for measurement and analysis geometric errors of CNC machine tool is presented, which includes the generation of simulated measurement data, data processing, error separation and error compensation etc. To verify the feasibility of the developed software, the sequential step diagonal vector measur

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Donelli, Nicola, Stefano Peluso, and Antonietta Mira. "A Bayesian semiparametric vector Multiplicative Error Model." Computational Statistics & Data Analysis 161 (September 2021): 107242. http://dx.doi.org/10.1016/j.csda.2021.107242.

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Cattivelli, Luca, and Giampiero M. Gallo. "Adaptive Lasso for vector Multiplicative Error Models." Quantitative Finance 20, no. 2 (2019): 255–74. http://dx.doi.org/10.1080/14697688.2019.1651451.

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Hwang, Wen‐Jyi, Chien‐Min Ou, and Chin‐Ming Yeh. "Robust vector qantization for burst error channels." Journal of the Chinese Institute of Engineers 27, no. 5 (2004): 737–41. http://dx.doi.org/10.1080/02533839.2004.9670921.

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