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17th Euromicro Conference on Digital System Design (DSD)

作者： Roth, Christoph Reder, Simon Bucher, Harald Sander, Oliver Becker, Juergen Karlsruhe Inst Technol Inst Informat Proc Technol ITIV D-76021 Karlsruhe Germany

ISBN: (纸本)9781479957934

Within this paper an adaptive approach for parallel simulation of SystemC RTL models on future many-core architectures like the Single-chip Cloud Computer (SCC) from Intel is presented. It is based on a configurable parallel SystemC kernel that preserves the partial order defined by the SystemC delta cycles while avoiding global synchronization as far as possible. The underlying algorithm relies on a classification of existing communication relations between parallel processes. The type and topology of communication relations determines the type and number of causality conditions that need to be fulfilled during runtime. The parallel kernel is complemented by an automated tool flow that allows detecting relevant model-specific properties, performing a fine-grained model partitioning, classifying communication relations and configuring the kernel. Experiments by means of a MPSoC model show, that pure local synchronization can provide significant performance gains compared to global synchronization. Furthermore, the combination of local synchronization with fine-grained partitioning provides additional degrees of freedom for optimization.

关键词： Adaptation models Computer architecture Delays Kernel Runtime Synchronization System recovery adaptive algorithm Many-Core Parallel Simulation SystemC system recovery Runtime Computer Architecture adaptive algorithms core construction Kernel Seeds Adaptation models Degree of freedom delay ARCHITECTURE

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The A Priori and A Posteriori Error Estimates for Modified Interior Transmission Eigenvalue Problem in Inverse Scattering

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Communications in Computational Physics 2023年第7期34卷 503-529页

作者： Yanjun Li Yidu Yang Hai Bi School of Mathematical Sciences Guizhou Normal UniversityGuiyangGuizhou 550001China School of Big Data Applications and Economics Guizhou University of Finance and EconomicsGuiyangGuizhou 550025China

In this paper,we discuss the conforming finite element method for a modified interior transmission eigenvalues *** present a complete theoretical analysis for the method,including the a priori and a posteriori error *** theoretical analysis is conducted under the assumption of low regularity on the *** prove the reliability and efficiency of the a posteriori error estimators for eigenfunctions up to higher order terms,and we also analyze the reliability of estimators for ***,we report numerical experiments to show that our posteriori error estimator is effective and the approximations can reach the optimal convergence *** numerical results also indicate that the conforming finite element eigenvalues approximate the exact ones from below,and there exists a monotonic relationship between the conforming finite element eigenvalues and the refractive index through numerical experiments.

关键词： Modified interior transmission eigenvalues a priori error estimates a posteriori error estimates adaptive algorithm

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Analytic Insights into an Adapted algorithm for the Score-Based Secretary Problem

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数学研究 2024年第4期57卷 476-485页

作者： Giangvuthanh Nguyen Xiang Xu Yanxiang Zhao Department of Mathematics and Statistics Old Dominion UniversityNorfolk VA 23529USA Department of Mathematics George Washington UniversityWashington D.C.20052USA

In this paper,we study some basic analytic properties of a sequence of func-tions {Sμ,σ/n} that is directly derived in an adaptive algorithm originating from the clas-sical score-based secretary *** specifically,we show that:*** uniqueness of maximum points of the function sequence {Sμ,σ/n };*** maximum point sequence of{Sμ,σ/n} monotone increases to infinity as n tends to *** of the proofs are elementary but nontrivial.

关键词： Secretary problem adaptive algorithm expected score uniqueness of maximum points

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Set-Membership LMS adaptive algorithms Based on an Error-Estimation Time-Varying Bound Method

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2020年第7期39卷 3711-3736页

作者： Shu, Qin Zhang, Junmu Xu, Fangwei Sichuan Univ Coll Elect Engn Chengdu 610065 Peoples R China

To reduce the computational complexity and enhance the convergence rate, this article presents set-membership least mean square adaptive algorithms based on an error-estimation time-varying bound method. The bound is constituted by the estimation error for the previous iteration and a time-varying error adjustment factor. The set-membership (SM) method utilizes the estimation error for the current iteration and the bound to determine whether to update the weight vector. When the estimation error is larger than the bound, the weight vector is updated;otherwise, no updating is required. Then, by utilizing a nonlinear function between the step size and the estimation error, the step size is modified to further enhance the convergence rate. Compared to the traditional set-membership normalized least mean square algorithms, the simulation results show that the proposed algorithms have the following advantages: (1) fast convergence with low computational costs, (2) maintaining low, steady-state mean square error, (3) enhancing noise resistance in low-SNR environments and (4) estimating the SM bound in noisy environments without requiring noise power estimation.

关键词： Set-membership adaptive algorithm Estimation error Least mean square Low complexity

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Inter-Rater Reliability of EyeSpy Mobile for Pediatric Visual Acuity Assessments by Parent Volunteers

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CLINICAL OPHTHALMOLOGY 2024年 18卷 235-245页

作者： Rosenthal, Elyssa O'Neil, James Hoyt, Briggs Howard, Matthew Phoenix Childrens Dept Ophthalmol 1919 E Thomas Rd Phoenix AZ 85016 USA Loyola Univ Med Ctr Dept Ophthalmol Maywood IL USA Cleveland Clin Neurol Residency Program Cleveland OH USA

Purpose: To assess the inter -rater test reliability of the EyeSpy Mobile visual acuity smartphone algorithm when administered to children by eye professionals and parent volunteers. Patients and Methods: Visual acuity test -retest results were analyzed for 106 children assigned to one of three different screenings: (1) An eye technician and pediatric ophthalmologist using their typical visual acuity testing method on a M&S computer;(2) An eye technician and pediatric ophthalmologist using EyeSpy Mobile;(3) An eye technician and parent volunteer using EyeSpy Mobile. Results: All three phases demonstrated a strong agreement between the two testers, with mean test -retest equivalency results within 0.05 logMAR (2.5 letters, 90% CI). Whether testing using their typical technique on an M&S computer or using EyeSpy Mobile, eye professionals obtained statistically closer mean test -retest results than parent volunteers by 1 letter, with equivalency results within 0.03 logMAR (1.5 letters, 90% CI). Conversely, the number of retests within 2 vision lines was statistically greater when EyeSpy mobile was used by parents as compared to eye professional's customary technique on the M&S computer. Conclusion: EyeSpy Mobile provides clinically useful visual acuity test -retest results even when used by first-time parent volunteers. adaptive visual acuity algorithms have the potential to improve reliability, lessen training requirements, and expand the number of vision screening volunteers in community settings.

关键词： EyeSpy Mobile M&S computer visual acuity vision screening adaptive algorithm

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Hybrid swarm intelligent algorithm for multi-UAV formation reconfiguration

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COMPLEX & INTELLIGENT SYSTEMS 2023年第2期9卷 1929-1962页

作者： Gao, Chenyang Ma, Jianfeng Li, Teng Shen, Yulong Xidian Univ Sch Cyber Engn Taibai St Xian 710071 Shanxi Peoples R China Xidian Univ Sch Comp Sci & Engn Taibai St Xian 710071 Shanxi Peoples R China

Formation flight of unmanned aerial vehicles (UAVs) utilizes reconfiguration procedures to handle a variety of emergencies, such as collision avoidance, malfunctions, fuel savings, and member replacement. As UAVs have limited computing power and energy resources, it is necessary to optimize the control inputs to reduce the distance travelled by UAVs while reducing the computing costs during formation reconfiguration. In this paper, the problem of multi-UAV reconfiguration is decoupled into two stages: task assignment and control input optimization of UAVs. For a solution to the above problem, we propose an adaptive hybrid particle swarm optimization and differential evolution algorithm (AHPSODE) to optimize minimize the distance of the total movement and reduce the computing cost of formation reconfiguration. Based on the idea of receding horizon control (RHC) and the nonlinear model of multi-UAV formation reconfiguration, an RHC controller using AHPSODE is designed to optimize the control input of the UAV group to obtain the shortest movement distance, and this method can reduce the computation time. We use the CEC 2017 test suit to test the performance of our proposed AHPSODE algorithm, and simulate the AHPSODE-based RHC controller to manage formation reconfiguration. The results show that our proposed AHPSODE performed well in convergence and accuracy and the RHC controller is effective.

关键词： UAV Formation reconfiguration PSO DE Target assignment adaptive algorithm

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Suppression of Additive Noise in the Biomedical Signal Processing 42

Suppression of Additive Noise in the Biomedical Signal Proce...

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42nd International Conference on Electronics and Nanotechnology

作者： Fainzilberg, Leonid Natl Tech Univ Ukraine Igor Sikorsky Kyiv Polytech Inst Dept Biomed Cybernet Kiev Ukraine

ISBN: (纸本)9798350368185;9798350368178

The problem for useful signal restoring against the background of additive noise in complex cases arising during the processing of biomedical signals is considered. In particular, the possibility of effective suppression of harmonic interference concentrated in the loaded frequency band of the useful signal and suppression of random interference of a limited level with an unknown distribution law is being investigated. The results of experimental studies on model and real data are presented, confirming the effectiveness of the developed algorithms in solving current problems of practical medicine.

关键词： biomedical signals harmonic and random noise discrete Fourier transform spectrum leakage adaptive algorithm electrocardiogram

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Fuzzy adaptive Second Order Terminal Sliding Mode Trajectory Tracking Control for Robotic Manipulator 8

Fuzzy Adaptive Second Order Terminal Sliding Mode Trajectory...

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8th International Conference on Robotics, Control and Automation (ICRCA)

作者： Xu, Anding Zhao, Song Zhu, Huishen Wu, Xunwei Chen, Yuanbo Hu, Zheng China Elect Technol Grp Corp Res Inst 21 Robot Engn Ctr Shanghai Peoples R China China Elect Technol Grp Corp Res Inst 21 Planning Dept Shanghai Peoples R China

ISBN: (纸本)9798350344738;9798350344721

A new fuzzy adaptive second-order terminal sliding mode controller (FASOTSMC) is designed for the manipulator system with external disturbance and system uncertainty, in order to achieve fast convergence of trajectory tracking error and ideal tracking accuracy. Firstly, nonlinear hyperplane is used instead of linear hyperplane to improve the convergence rate of tracking error. Secondly, in order to avoid chattering, the discontinuous terms are hidden in the integral symbol, and a continuous second-order control law is obtained. At the same time, fuzzy algorithm is used to determine sliding mode surface parameters and adaptive algorithm is used to compensate external disturbance and system uncertainty, and Lyapunov stability theory is used to prove that the control system has convergence in finite time. Finally, the comparative simulation analysis is carried out. The results show that the control algorithm can realize the trajectory tracking control of the manipulator with high precision in limited time and complex factors.

关键词： robotic manipulator fuzzy algorithm adaptive algorithm second-order terminal sliding mode control

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A Feature Points Extraction algorithm Based on adaptive Information Entropy

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IEEE ACCESS 2020年 8卷 127134-127141页

作者： Yin, Dan Zhou, Siwei Wang, Pengcheng Lin, Manling Song, Hui Ke, Feng Luo, Kaiqing South China Normal Univ Sch Phys & Telecommun Engn Guangzhou 510006 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510641 Peoples R China South China Normal Univ Guangdong Prov Engn Res Ctr Optoelect Instrument Guangzhou 510006 Peoples R China

Feature points loss and images mismatch in the variation of light intensity, weak texture and large angle rotation for the feature points extraction of ORB-SLAM2 are severe. To deal with the problem, a feature points extraction algorithm based on adaptive information entropy, i.e., adaptive Information Entropy Feature (AIEF) algorithm is proposed. According to the information entropy, the image blocks with less information are removed and those with more texture image information and larger gradient are selected. Then an adaptive algorithm is used to automatically calculate the optimal threshold of the image information entropy. The image blocks are homogenized to avoid that the extracted feature points are too dense and getting stuck is prevented, which makes the algorithm more robust. Finaly validation is performed using the Oxford standard data set and the performances of the AIEF algorithm are compared with those of the SIFT, SURF, and ORB-SLAM2 algorithms. Experimental results on the Oxford standard data set demonstrate that the AIEF algorithm outperforms the traditional counterparts in terms of processing time, number of feature points, correct matching number and correct matching rate.

关键词： adaptive algorithm information entropy image matching feature extraction

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Residual-Based a Posteriori Error Estimates for the Time-Dependent Ginzburg-Landau Equations of Superconductivity

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JOURNAL OF SCIENTIFIC COMPUTING 2022年第3期93卷 1-47页

作者： Duan, Huoyuan Zhang, Qiuyu Wuhan Univ Sch Math & Stat Wuhan 430072 Peoples R China

We propose and analyze residual-based a posteriori error estimator for a new finite element method for the time-dependent Ginzburg-Landau equations with the temporal gauge of superconductivity. The magnetic potential variable is approximated by H(del x;Omega)-conforming element and the scalar order parameter is approximated by the H-1(Omega)-conforming element. Using the dual problem of a linearization of the original problem, we prove the reliability of the a posteriori error estimator, and an adaptive algorithm with the temporal and spatial refining and coarsening steps is then proposed. Numerical results are presented for illustrating the a posteriori error estimator and the adaptive algorithm in convex and nonconvex domains.

关键词： Ginzburg-Landau equation Finite element method Nonconvex domain A posteriori error estimates adaptive algorithm

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