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Double integral-enhanced Zeroing neural network with linear noise rejection for time-varying matrix inverse

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 197-210页

作者： Bolin Liao Luyang Han Xinwei Cao Shuai Li Jianfeng Li College of Computer Science and Engineering Jishou UniversityJishouChina School of Management Shanghai UniversityShanghaiChina School of Engineering Swansea UniversitySwanseaUK

In engineering fields,time-varying matrix inversion(TVMI)issue is often encountered.Zeroing neural network(ZNN)has been extensively employed to resolve the TVMI problem.Nevertheless,the original ZNN(OZNN)and the integral-enhanced ZNN(IEZNN)usually fail to deal with the TVMI problem under unbounded noises,such as linear noises.Therefore,a neural network model that can handle the TVMI under linear noise interference is urgently needed.This paper develops a double integral-enhanced ZNN(DIEZNN)model based on a novel integral-type design formula with inherent linear-noise tolerance.Moreover,its convergence and robustness are verified by deriva-tion strictly.For comparison and verification,the OZNN and the IEZNN models are adopted to resolve the TVMI under multiple identical noise environments.The experi-ments proved that the DIEZNN model has excellent advantages in solving TVMI problems under linear noises.In general,the DIEZNN model is an innovative work and is proposed for the first time.Satisfyingly,the errors of DIEZNN are always less than 1�10−3 under linear noises,whereas the error norms of OZNN and IEZNN models are not convergent to zero.In addition,these models are applied to the control of the controllable permanent magnet synchronous motor chaotic system to indicate the superiority of the DIEZNN.

关键词： neural network real-time systems

Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 167-177页

作者： Xiuchun Xiao Chengze Jiang Qixiang Mei Yudong Zhang School of Electronics and Information Engineering Guangdong Ocean UniversityZhanjiangChina School of Cyber Science and Engineering Southeast UniversityNanjingChina School of Computing and Mathematical Sciences University of LeicesterLeicesterUK

The solving of dynamic matrix square root(DMSR)problems is frequently encountered in many scientific and engineering fields.Although the original zeroing neural network is powerful for solving the DMSR,it cannot vanish the influence of the noise perturbations,and its constant-coefficient design scheme cannot accelerate the convergence speed.Therefore,a noise-tolerate and adaptive coefficient zeroing neural network(NTACZNN)is raised to enhance the robust noise immunity performance and accelerate the conver-gence speed simultaneously.Then,the global convergence and robustness of the pro-posed NTACZNN are theoretically analysed under an ideal environment and noise-perturbed circumstances.Furthermore,some illustrative simulation examples are designed and performed in order to substantiate the efficacy and advantage of the NTACZNN for the DMSR problem solution.Compared with some existing ZNNs,the proposed NTACZNN possesses advanced performance in terms of noise tolerance,solution accuracy,and convergence rate.

关键词： adaptive intelligent systems neural network real-time systems

Energy Efficient Scheduler of Aperiodic Jobs for real-time Embedded systems

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International Journal of Automation and computing 2020年第5期17卷 733-743页

作者： Hussein El Ghor El-Hadi MAggoune University Institute of Technology Lebanese UniversityLebanon Sensor Networks and Cellular Systems(SNCS)Research Center UTSaudi Arabia Electrical Engineering Department University of Tabuk Sensor Networks and Cellular Systems(SNCS)Research Center 71491 TabukSaudi Arabia

Energy consumption has become a key metric for evaluating how good an embedded system is,alongside more performance metrics like respecting operation deadlines and speed of execution.Schedulability improvement is no longer the only metric by which optimality is judged.In fact,energy efficiency is becoming a preferred choice with a fundamental objective to optimize the system's lifetime.In this work,we propose an optimal energy efficient scheduling algorithm for aperiodic real-time jobs to reduce CPU energy consumption.Specifically,we apply the concept of real-time process scheduling to a dynamic voltage and frequency scaling(DVFS)technique.We address a variant of earliest deadline first(EDF)scheduling algorithm called energy saving-dynamic voltage and frequency scaling(ES-DVFS)algorithm that is suited to unpredictable future energy production and irregular job arrivals.We prove that ES-DVFS cannot attain a total value greater than C/ˆSα,whereˆS is the minimum speed of any job and C is the available energy capacity.We also investigate the implications of having in advance,information about the largest job size and the minimum speed used for the competitive factor of ES-DVFS.We show that such advance knowledge makes possible the design of semi-on-line algorithm,ES-DVFS∗∗,that achieved a constant competitive factor of 0.5 which is proved as an optimal competitive factor.The experimental study demonstrates that substantial energy savings and highest percentage of feasible job sets can be obtained through our solution that combines EDF and DVFS optimally under the given aperiodic jobs and energy models.

关键词： real-time systems energy efficiency aperiodic jobs scheduling dynamic voltage scaling low-power systems embedded systems

Partitioned k-Exclusion real-time Locking Protocol Motivated by Multicore Multi-GPU systems

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Journal of Electronic Science and Technology 2016年第3期14卷 193-198页

作者： Mao-Lin Yang Hang Lei Yong Liao Ze-Wei Chen School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610054China

Graphic processing units （GPUs） have been widely recognized as cost-efficient co-processors with acceptable size, weight, and power consumption. However, adopting GPUs in real-time systems is still challenging, due to the lack in framework for real-time analysis. In order to guarantee real-time requirements while maintaining system utilization ~in modern heterogeneous systems, such as multicore multi-GPU systems, a novel suspension-based k-exclusion real-time locking protocol and the associated suspension-aware schedulability analysis are proposed. The proposed protocol provides a synchronization framework that enables multiple GPUs to be efficiently integrated in multicore real-time systems. Comparative evaluations show that the proposed methods improve upon the existing work in terms of schedulability.

关键词： Embedded systems graphic processing units(GPUs) heterogeneous systems locking protocols multicore real-time systems

VNet: a versatile network to train real-time semantic segmentation models on a single GPU

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Science China(Information Sciences) 2022年第3期65卷 272-273页

作者： Wenxing LI Ning LIN Mingzhe ZHANG Hang LU Xiaoming CHEN Xiaowei LI College of Computer Science and Technology Guizhou University State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences

Dear editor,Modern semantic segmentation, which has important applications such as medical image analysis, image editing, and video surveillance, has made remarkable progress using deep convolution neural network models. Recently, an efficient real-time semantic segmentation method has received considerable attention, as intelligent edge devices not only have faster inference speed requirements for semantic segmentation models but also cannot rely on the cloud services of data centers. There are two feasible approaches to develop an efficient semantic segmentation model.

关键词： Efficiency Machine learning real-time systems Segmentation Light-weight

real-time fluorescent quantitative PCR assay for measuring cytomegalovirus DNA load in patients after haematopoietic stem cell transplantation

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Chinese Medical Journal 2006年第10期119卷 871-874页

作者： FAN Jun MA Wei-hang YANG Mei-fang XUE Han GAO Hai-nü LI Lan-juan Key Laboratory of Ministry Infectious Disease Institute ofInfectious Diseases First Affiliated Hospital Zhejiang UniversitySchool of Medicine Hangzhou 310003 China

Cytomegalovirus （CMV） infection is a major and often deadly complication of haematopoietic stem cell （HSC） transplantation. Successful preemptive CMV therapy in transplant patients depends on the availability of sensitive, specific, and timely diagnostic tests for CMV infections. The pp65 antigenemia assay has been used for this purpose with considerable success but has disadvantages of being time-consuming and labor-intensive .

关键词： haematopoietic stem cell transplantation cytomegalovirus real-time systems polymerase chain reaction

Schedulability of Fault Tolerant real time System Based on Local Optimum Checkpoint Under Priority Mixed Strategy

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Chinese Journal of Electronics 2015年第2期24卷 236-244页

作者： HE Zhongzheng MEN Chaoguang CHEN Yongjun LI Xiang Department of Computer Science and Technology Harbin Engineering University China Xinxing Construction and Development General Company

Against the defect of the real time system fault tolerant model that can only tolerate one fault, the Local optimum checkpoint(LOC) algorithm was proposed.Then according to the schedulability analysis, the worst case response time formula under the fault tolerant priority mixed strategy based on the local optimum checkpoint was deduced. Finally the Fault tolerant priority configuration search algorithm under Mixed strategy based on LOC(FTPCS-MS-LOC) was proposed. The FTPCS-MS-LOC can tolerate multiple transient faults. The algorithm can effectively reduce the search space compared to the enumeration method. The simulation shows that the FTPCS-MSLOC can significantly improve the system fault resilience than the fault tolerant priority inheritance, promotion and demotion strategy, and also the mixed strategy based on the checkpoint interval in the condition of single fault occurred.

关键词： real-time systems Rollback recovery Fault tolerant priority Schedulability Checkpoint interval

Design of Energy-efficient Hierarchical Scheduling for Integrated Modular Avionics systems

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Chinese Journal of Aeronautics 2012年第1期25卷 109-114页

作者： ZHOU Tianran XIONG Huagang School of Electronics and Information Engineering Beihang UniversityBeijing 100191China

Recently the integrated modular avionics （IMA） architecture which introduces the concept of resource partitions becomes popular as an alternative to the traditional federated architecture. This study investigates the problem of designing hierarchical scheduling for IMA systems. The proposed scheduler model enables strong temporal partitioning, so that multiple hard real-time applications can be easily integrated into an uniprocessor platform. This paper derives the mathematic relationships among parti- tion cycle, partition capacity and schedulability under the real-time condition, and then proposes an algorithm for optimizing partition parameters. real-time tasks with arbitrary deadlines are considered for generality. To further improve the basic algo- rithm and reduce the energy consumption for embedded systems in aircraft, a power optimization approach is also proposed by exploiting the slack time. Experimental results show that the designed system can guarantee the hard real-time requirement and reduce the power consumption by at least 14%.

关键词： system integration IMA real-time systems hierarchical scheduling power optimization schedulability analysis

Decidability of Mean Value Calculus

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Journal of Computer Science & Technology 1999年第2期14卷 173-180页

作者：李晓山 Institute of Software Chinese Academy of Sciences Beijing P.R. China

Mean Value Calculus ( MVC) is a real-time logic which can be used to specify and verify real-time systems . As a conservative extension of Duration Calculus (DC) , MVC increases the expressive power but keeps the properties of DC . ln this paper we present decidability results of MVC . An interesting result is that propositional MVC with chop star operator is still decidable, which develops the results or and .

关键词： mean value calculus real-time systems decidability