Academic literature on the topic 'Dual error extensions'

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Journal articles on the topic "Dual error extensions"

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Wang, Ruei-Ping, and Chao-Hung Lin. "Dual Guided Aggregation Network for Stereo Image Matching." Sensors 22, no. 16 (August 16, 2022): 6111. http://dx.doi.org/10.3390/s22166111.

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Stereo image dense matching, which plays a key role in 3D reconstruction, remains a challenging task in photogrammetry and computer vision. In addition to block-based matching, recent studies based on artificial neural networks have achieved great progress in stereo matching by using deep convolutional networks. This study proposes a novel network called a dual guided aggregation network (Dual-GANet), which utilizes both left-to-right and right-to-left image matchings in network design and training to reduce the possibility of pixel mismatch. Flipped training with a cost volume consistentization is introduced to realize the learning of invisible-to-visible pixel matching and left–right consistency matching. In addition, suppressed multi-regression is proposed, which suppresses unrelated information before regression and selects multiple peaks from a disparity probability distribution. The proposed dual network with the left–right consistent matching scheme can be applied to most stereo matching models. To estimate the performance, GANet, which is designed based on semi-global matching, was selected as the backbone with extensions and modifications on guided aggregation, disparity regression, and loss function. Experimental results on the SceneFlow and KITTI2015 datasets demonstrate the superiority of the Dual-GANet compared to related models in terms of average end-point-error (EPE) and pixel error rate (ER). The Dual-GANet with an average EPE performance = 0.418 and ER (>1 pixel) = 5.81% for SceneFlow and average EPE = 0.589 and ER (>3 pixels) = 1.76% for KITTI2005 is better than the backbone model with the average EPE performance of = 0.440 and ER (>1 pixel) = 6.56% for SceneFlow and average EPE = 0.790 and ER (>3 pixels) = 2.32% for KITTI2005.
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Nie, Yungui, Jiamin Chen, Wanli Wen, Min Liu, Xiong Deng, and Chen Chen. "Orthogonal Subblock Division Multiple Access for OFDM-IM-Based Multi-User VLC Systems." Photonics 9, no. 6 (May 25, 2022): 373. http://dx.doi.org/10.3390/photonics9060373.

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In this paper, we propose and experimentally demonstrate an orthogonal subblock division multiple access (OSDMA) scheme for orthogonal frequency division multiplexing with index modulation (OFDM-IM)-based multi-user visible light communication (MU-VLC) systems, where both single-mode index modulation (SM-IM) and dual-mode index modulation (DM-IM) are considered. In order to overcome the low-pass frequency response and the light-emitting diodes (LED) nonlinearity issues of practical MU-VLC systems, OSDMA is employed together with discrete Fourier transform spreading (DFT-S) and interleaving. The feasibility and superiority of the proposed scheme have been successfully verified via both simulations and hardware experiments. More specifically, we evaluate and compare the peak-to-average power ratio (PAPR) performance and the bit error rate (BER) performance of OFDM-SM-IM, DFT-S-OFDM-SM-IM, OFDM-DM-IM and DFT-S-OFDM-DM-IM without and with interleaving. Experimental results show that remarkable distance extensions can be achieved by employing DFT spreading and interleaving for both SM-IM and DM-IM in a two-user OSDMA-VLC system.
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Fan, Yongcun, Haotian Shi, Shunli Wang, Carlos Fernandez, Wen Cao, and Junhan Huang. "A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation." Energies 14, no. 8 (April 17, 2021): 2268. http://dx.doi.org/10.3390/en14082268.

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This paper aims to improve the stability and robustness of the state-of-charge estimation algorithm for lithium-ion batteries. A new internal resistance-polarization circuit model is constructed on the basis of the Thevenin equivalent circuit to characterize the difference in internal resistance between charge and discharge. The extended Kalman filter is improved through adding an adaptive noise tracking algorithm and the Kalman gain in the unscented Kalman filter algorithm is improved by introducing a dynamic equation. In addition, for benignization of outliers of the two above-mentioned algorithms, a new dual Kalman algorithm is proposed in this paper by adding a transfer function and through weighted mutation. The model and algorithm accuracy is verified through working condition experiments. The result shows that: the errors of the three algorithms are all maintained within 0.8% during the initial period and middle stages of the discharge; the maximum error of the improved extension of Kalman algorithm is over 1.5%, that of improved unscented Kalman increases to 5%, and the error of the new dual Kalman algorithm is still within 0.4% during the latter period of the discharge. This indicates that the accuracy and robustness of the new dual Kalman algorithm is better than those of traditional algorithm.
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Zhang, Xiaoping, Nancy L. Nihan, and Yinhai Wang. "Improved Dual-Loop Detection System for Collecting Real-Time Truck Data." Transportation Research Record: Journal of the Transportation Research Board 1917, no. 1 (January 2005): 108–15. http://dx.doi.org/10.1177/0361198105191700113.

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The Washington State Department of Transportation (WSDOT) has a loop detection system on its Greater Seattle freeway network to provide real-time traffic data. The dual-loop detectors installed in the system are used to measure vehicle lengths and then classify each detected vehicle into one of four categories according to its length. The dual loop's capability of measuring vehicle length makes the loop detection system a potential real-time truck data source for freight movement studies because truck volume estimates by basic length category can be developed from the vehicle length measurements produced by the dual-loop detectors. However, a previous study found that the dual-loop detectors were consistently underreporting truck volumes, whereas the single-loop detectors were consistently overcounting vehicle volumes. As an extension of the previous study, the research project described here investigated possible causes of loop errors under nonforced-flow traffic conditions. A new dual-loop algorithm that can address these error causes and therefore tolerate erroneous loop actuation signals was developed to improve the performance of the WSDOT loop detection system. A quick remedy method was also recommended to address the dual-loop undercount problem without replacing any part of the existing system hardware or software. In addition, a laptop-based detector event data collection system (DEDAC) that can collect loop detector event data without interrupting a loop detection system's normal operation was developed in this research. The DEDAC system enables various kinds of transportation research and applications that could not otherwise be possible.
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Lord, Natacha H., and Anthony J. Mulholland. "A dual weighted residual method applied to complex periodic gratings." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 469, no. 2160 (December 8, 2013): 20130176. http://dx.doi.org/10.1098/rspa.2013.0176.

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An extension of the dual weighted residual (DWR) method to the analysis of electromagnetic waves in a periodic diffraction grating is presented. Using the α ,0-quasi-periodic transformation, an upper bound for the a posteriori error estimate is derived. This is then used to solve adaptively the associated Helmholtz problem. The goal is to achieve an acceptable accuracy in the computed diffraction efficiency while keeping the computational mesh relatively coarse. Numerical results are presented to illustrate the advantage of using DWR over the global a posteriori error estimate approach. The application of the method in biomimetic, to address the complex diffraction geometry of the Morpho butterfly wing is also discussed.
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RIYAZ, SABA, RAFIA JAN, SHOWKAT MAQBOOL, KHALID UL ISLAM RATHER, and T. R. JAN. "A MODIFIED CLASS OF DUAL TO RATIO-TYPE ESTIMATORS FOR ESTIMATING THE POPULATION VARIANCE UNDER SIMPLE RANDOM SAMPLING SCHEME AND ITS APPLICATION TO REAL DATA." Journal of Science and Arts 22, no. 3 (September 30, 2022): 593–604. http://dx.doi.org/10.46939/j.sci.arts-22.3-a06.

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This work is an extension to the work of [1] on ratio estimators of variance, by modification using dual to ratio method. The consistency conditions, bias, mean square error, optimum mean square error and efficiency have been derived and its performance is illustrated using natural populations. It is observed that the proposed class of estimators is most efficient at its optimum value, due to highest percent relative efficiency generated by it, when compared to the usual unbiased estimator for variance.
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Beckers, Pierre. "Extension of dual analysis to 3-D problems: evaluation of its advantages in error estimation." Computational Mechanics 41, no. 3 (July 10, 2007): 421–27. http://dx.doi.org/10.1007/s00466-007-0198-2.

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Ismail, Rifky, Mochammad Ariyanto, Inri A. Perkasa, Rizal Adirianto, Farika T. Putri, Adam Glowacz, and Wahyu Caesarendra. "Soft Elbow Exoskeleton for Upper Limb Assistance Incorporating Dual Motor-Tendon Actuator." Electronics 8, no. 10 (October 18, 2019): 1184. http://dx.doi.org/10.3390/electronics8101184.

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Loss of muscle functions, such as the elbow, can affect the quality of life of a person. This research is aimed at developing an affordable two DOF soft elbow exoskeleton incorporating a dual motor-tendon actuator. The soft elbow exoskeleton can be used to assist two DOF motions of the upper limb, especially elbow and wrist movements. The exoskeleton is developed using fabric for the convenience purpose of the user. The dual motor-tendon actuator subsystem employs two DC motors coupled with lead-to-screw converting motion from angular into linear motion. The output is connected to the upper arm hook on the soft exoskeleton elbow. With this mechanism, the proposed actuator system is able to assist two DOF movements for flexion/extension and pronation/supination motion. Proportional-Integral (PI) control is implemented for controlling the motion. The optimized value of Kp and Ki are 200 and 20, respectively. Based on the test results, there is a slight steady-state error between the first and the second DC motor. When the exoskeleton is worn by a user, it gives more steady-state errors because of the load from the arm weight. The test results demonstrate that the proposed soft exoskeleton elbow can be worn easily and comfortably by a user to assist two DOF for elbow and wrist motion. The resulted range of motion (ROM) for elbow flexion–extension can be varied from 90° to 157°, whereas the maximum of ROM that can be achieved for pronation and supination movements are 19° and 18°, respectively.
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Zhang, Jin-Hai, and Zhen-Xing Yao. "Reducing two-way splitting error of FFD method in dual domains." GEOPHYSICS 76, no. 4 (July 2011): S165—S175. http://dx.doi.org/10.1190/1.3590214.

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The Fourier finite-difference (FFD) method is very popular in seismic depth migration. But its straightforward 3D extension creates two-way splitting error due to ignoring the cross terms of spatial partial derivatives. Traditional correction schemes, either in the spatial domain by the implicit finite-difference method or in the wavenumber domain by phase compensation, lead to substantially increased computational costs or numerical difficulties for strong velocity contrasts. We propose compensating the two-way splitting error in dual domains, alternately in the spatial and wavenumber domains via Fourier transform. First, we organize the expanded square-root operator in terms of two-way splitting FFD plus the usually ignored cross terms. Second, we select a group of optimized coefficients to maximize the accuracy of propagation in both inline and crossline directions without yet considering the diagonal directions. Finally, we further optimize the constant coefficient of the compensation part to further improve the overall accuracy of the operator. In implementation, the compensation terms are similar to the high-order corrections of the generalized-screen method, but their functions are to compensate the two-way splitting error rather than the expansion error. Numerical experiments show that optimized one-term compensation can achieve nearly perfect circular impulse responses and the propagation angle with less than 1% error for all azimuths is improved up to 60° from 35°. Compared with traditional single-domain methods, our scheme can handle lateral velocity variations (even for strong velocity contrasts) much more easily with only one additional Fourier transform based on the two-way splitting FFD method, which helps retain the computational efficiency.
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Lacker, Daniel. "A non-exponential extension of Sanov’s theorem via convex duality." Advances in Applied Probability 52, no. 1 (March 2020): 61–101. http://dx.doi.org/10.1017/apr.2019.52.

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AbstractThis work is devoted to a vast extension of Sanov’s theorem, in Laplace principle form, based on alternatives to the classical convex dual pair of relative entropy and cumulant generating functional. The abstract results give rise to a number of probabilistic limit theorems and asymptotics. For instance, widely applicable non-exponential large deviation upper bounds are derived for empirical distributions and averages of independent and identically distributed samples under minimal integrability assumptions, notably accommodating heavy-tailed distributions. Other interesting manifestations of the abstract results include new results on the rate of convergence of empirical measures in Wasserstein distance, uniform large deviation bounds, and variational problems involving optimal transport costs, as well as an application to error estimates for approximate solutions of stochastic optimization problems. The proofs build on the Dupuis–Ellis weak convergence approach to large deviations as well as the duality theory for convex risk measures.
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Dissertations / Theses on the topic "Dual error extensions"

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Chew, Hong Gunn. "Support vector machines with dual error extensions for target detection and object recognition." Thesis, 2013. http://hdl.handle.net/2440/96169.

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The Support Vector Machine (SVM) is a binary classification paradigm based on statistical learning. It is an important tool in object detection and pattern recognition, as well as signal processing, and the SVM algorithm has been shown to outperform existing classification algorithms. There are two main drawbacks with the original SVM formulation: the classification performance of the tuning regularisation parameter, and the computational and time cost of training phase. This Thesis focuses on the development of a new formulation of 2v-SVM, with two cost parameters v₊ and v₋, to mitigate these drawbacks. In addition, the computation implementation of training process is designed and explained, and the relationship between the new and the original formulations is developed mathematically and discussed. As with many statistical learning problems, the formulation of the original SVM (C-SVM) uses a regularisation parameter (C) to balance the generalisation performance of the classifier. The regularisation parameter places equal weightings on the number of training errors of both class labels. The equal weightings can be undesirable, and can be detrimental to the overall performance of the resulting classifier. In this Thesis, SVMs are extended to dual-error parameters (2C-SVMs and 2v-SVMs) that improve the classification performance, in particularly where the training class sizes are greatly different, and allow classification biasing based on a priori information. We discuss the creation of the new formulation and show results that provide indications of the improvements, and illustrate the use of 2v-SVMs for multi-category classification. In addition, we describe a metric that measures the reliability of a multi-category classification for the one-against-rest strategy. We introduce a novel implementation for training 2v-SVMs. The weakness of SVMs is the computation cost of training multiple SVMs to produce an optimised classifier. Each training involves the optimisation of a quadratic programming problem that is non-trivial. Optimisation algorithms for C-SVMs have proved to reduce the computational cost involved, but these algorithms cannot be directly applied to 2v-SVMs. The novel implementation improves on the existing methods while reducing the computational requirements. The relationship between the new 2v-SVM formulation and the original describes the link between the objective functions of the two formulations. The mathematical link shows that the new formulation provides the same functionality of the original formulation, while improving on the classification and computation performances. The resulting extension and implementation of 2v-SVMs provides a strong and robust method for producing binary classifiers as well as multi-category classifiers. The research detailed here has resulted in 2v-SVMs that have improved the computation and classification performance of SVMs. These improvements contribute to the broad area of multi-dimensional signal processing, such as for signal detection and image classification. The robustness of the 2v-SVM in forming working classifiers from unprocessed data, and the reduction of number of training cycles allows users to quickly and effectively produce results for their classification problems.
Thesis (Ph.D.) -- University of Adelaide, School of Electrical and Electronic Engineering, 2013
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Conference papers on the topic "Dual error extensions"

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Fang, Jiwen, Zhili Long, and Lufan Zhang. "Macro-Micro Dual-Drive Stages Based on Dual Switching Condition and Local Closed Loop." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53267.

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This paper presents macro-micro dual-drive stages using the hybrid actuators composed of voice coil motor (VCM) and piezoelectric actuator (PZT actuator). The macro stage driven by voice coil motor can achieve large travel range and coarse positioning. The micro stage with an embedded flexure hinges mechanism, actuated by the PZT actuator, can realize short range but high precision positioning. To gain precise performance, the dynamic modes of macro stage and micro stage are equivalent to mass-damping-spring system in this research. According to theoretical analysis, the output displacement of micro stage is proportional to the extension of the PZT Actuator. The linear relationship will be used to the motion control of micro stage. To realize perfect performance, the variable gain PID controller is designed to control the macro stage. In order to prevent saturation and damage of PZT actuator, dual switching control, positioning error threshold and small vibration displacement, are applied to the switching control. Beyond the micro stage range, the micro stage must be kept in its equilibrium position while the VCM instead reaches a long travel. The PZT actuator controller is used to compensate for position error after switching control. When the error is less than a set thres hold value, the error signal is added into the micro control loop. So the macro-micro dual-drive stages are working together to reduce the positioning error. The relationship between PZT actuator of closed loop and input voltage is linear by theoretical analysis and experiment test. So the micro stage uses an open servo loop structure, but the PZT actuator is controlled with PI controller in local closed loop in order to eliminate the nonlinear of PZT. The experimental system used in this study is single-axis dual-driving stages. Turbo PMAC PCI-Lite is the core of the whole system and executes PLC programs with motion programs. Experiments show that the steady state error of dual-drive stage is nano level. The steady state error of dual-drive stage can be improved. So dual-drive stages can increase the positioning accuracy of the whole system and the performance is superior to the single VCM stage.
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Kuo, Keilin, and Chungchen Tsao. "Automobile Driving Control for a Dual Power Electric Vehicle With a Hydrogen Fuel Cell." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20099.

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In this study, we adopt a dual power system for extension (DPES) operation by combining the existing power system of an electric vehicle with a hydrogen fuel cell. This was to enhance the durability of the electric vehicle and reduce the inconvenience of battery charging. The lithium battery acts as the primary power source and has real-time monitoring of its state of charge (SOC), while the hydrogen fuel cells act as the auxiliary power supply. The auxiliary power can be used either directly or for charging the lithium battery while the vehicle is in its idle state. The dual power system is coupled with a dual-mode motor controller and energy management system. This study aims to apply the dual power system on the electric vehicle using hydrogen fuel cells. We designed a simulation platform for real driving conditions using Labview to send and receive control commands. In this study, we simulated the road cycles of the Economic Commission for Europe (ECE-40), Japanese legislative cycle (JP10) and the World-wide Motorcycle Emissions Test Cycle (WMTC), using Proportional-integral Control (PI) for automatic tracking and employing engineering error analysis to determine the most suitable PI parameter values for the simulated system. The results showed that using a fixed 100 W fuel cell could enhance the operation time up to 21 %, 21 %, and 14 % for the road cycles of the ECE-40, JP10, and WMTC, respectively. Due to the required features of an actual vehicle, we also designed an energy limiting system to manage the driver-controlled electronic throttle by controlling the instantaneous and maximum power output of the motor in order to achieve savings in energy consumption, increase its operation time, protect the system, and enhance its durability.
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Kennon, Stephen R., and George S. Dulikravich. "Inverse Design of Coolant Flow Passage Shapes With Partially Fixed Internal Geometries." In ASME 1985 International Gas Turbine Conference and Exhibit. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-gt-118.

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A method is described for the inverse design of complex coolant flow passage shapes in internally cooled turbine blades. This method is a refinement and extension of a method developed by the authors for designing a single coolant hole in turbine blades. The new method allows the turbine designer to specify the number of holes the turbine blade is to have. In addition, the turbine designer may specify that certain portions of the interior coolant flow passage geometry are to remain fixed (eg. struts, surface coolant ejection channels, etc.). Like the original design method, the designer must specify the outer blade surface temperature and heat flux distribution and the desired interior coolant flow passage surface temperature distributions. This solution procedure involves satisfying the dual Dirichlet and Neumann specified boundary conditions of temperature and heat flux on the outer boundary of the airfoil while iteratively modifying the shapes of the coolant flow passages using a least squares optimization procedure that minimizes the error in satisfying the specified Dirichlet temperature boundary condition on the surface of each of the evolving interior holes. Portions of the inner geometry that are specified to be fixed are not modified. A first order panel method is used to solve Laplace’s equation for the steady heat conduction within the solid portions of the hollow blade, making the inverse design procedure very efficient and applicable to realistic geometries. Results are presented for a realistic turbine blade design problem.
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