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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals

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Big Data Mining and Analytics 2024年第1期7卷 188-204页

作者： Yan Zhao Ming Guo Xiangyong Chen Jianqiang Sun jianlong qiu School of Communication Engineering Hangzhou Dianzi UniversityHangzhou 310018China School of Automation and Electrical Engineering Linyi UniversityLinyi 276000China

Walking as a unique biometric tool conveys important information for emotion *** in different emotional states exhibit distinct walking *** this purpose,this paper proposes a novel approach to recognizing emotion during walking using electroencephalogram(EEG)and inertial *** recognition of emotion is achieved by training in an end-to-end deep learning fashion and taking into account multi-modal *** wear virtual reality head-mounted display(VR-HMD)equipment to immerse in strong emotions during *** environment shows excellent imitation and experience ability,which plays an important role in awakening and changing *** addition,the multi-modal signals acquired from EEG and inertial sensors are separately represented as virtual emotion images by discrete wavelet transform(DWT).These serve as input to the attention-based convolutional neural network(CNN)fusion *** designed network structure is simple and lightweight while integrating the channel attention mechanism to extract and enhance *** effectively improve the performance of the recognition system,the proposed decision fusion algorithm combines Critic method and majority voting strategy to determine the weight values that affect the final decision *** investigation is made on the effect of diverse mother wavelet types and wavelet decomposition levels on model performance which indicates that the 2.2-order reverse biorthogonal(rbio2.2)wavelet with two-level decomposition has the best recognition *** experiment results show that the proposed method outperforms other existing state-of-the-art works with an accuracy of 98.73%.

关键词： walking multi-modal fusion virtual reality emotion recognition discrete wavelet transform attention mechanism

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Stability and Hopf Bifurcation Analysis of an (n+m)-Neuron Double-Ring Neural Network Model with Multiple Time Delays

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Journal of Systems Science & Complexity 2022年第1期35卷 159-178页

作者： XING Ruitao XIAO Min ZHANG Yuezhong qiu jianlong College of Automation and College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210003China School of Automation and Electrical Engineering Linyi UniversityLinyi 276000China

Up till the present moment,researchers have always featured the single-ring neural *** investigations,however,disregard the link between rings in neural *** paper highlights a high-dimensional double-ring neural network model with multiple time *** neural network has two rings of a shared node,where one ring has n neurons and the other has m+1 *** utilizing the sum of time delays as the bifurcation parameter,the method of Coates’flow graph is applied to obtain the relevant characteristic *** stability of the neural network model with bicyclic structure is discussed by dissecting the characteristic equation,and the critical value of Hopf bifurcation is *** effect of the sum of time delays and the number of neurons on the stability of the model is *** validity of the theory can be verified by numerical simulations.

关键词： Coates’flow graph high-dimensional Hopf bifurcation stability

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Dynamic event-triggered leader-follower consensus of nonlinear multi-agent systems under directed weighted topology

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The Journal of China Universities of Posts and Telecommunications 2023年第6期30卷 3-10,21页

作者： Wu Yue Chen Xiangyong qiu jianlong Hu Shunwei Zhao Feng School of Automation and Electrical Engineering Linyi UniversityLinyi 277700China

This paper studies the dynamic event-triggered leader-follower consensus of nonlinear multi-agent systems(MASs)under directed weighted graph containing a directed spanning tree,and also considers the effects of disturbances and leader of non-zero control inputs in the ***,a novel distributed control protocol is designed for uncertain disturbances and leader of non-zero control inputs in ***,a novel dynamic event-triggered control(DETC)strategy is proposed,which eliminates the need for continuous communication between agents and reduces communication resources between *** introducing dynamic thresholds,the complexity of excluding Zeno behavior within the system is ***,the effectiveness of the proposed theory is validated through numerical simulation.

关键词： nonlinear multi-agent systems(MASs) leader-follower consensus dynamic event-triggered control(DETC) leader of non-zero control input

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Adaptive Fixed-Time Synchronization of Delayed Memristor-Based Neural Networks with Discontinuous Activations

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 221-239页

作者： Tianyuan Jia Xiangyong Chen Xiurong Yao Feng Zhao jianlong qiu School of Automation and Electrical Engineering and Key Laboratory of Complex Systems and Intelligent Computing in Universities of ShandongLinyi UniversityLinyi276005China The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems and School of AutomationChina University of GeosciencesWuhan430074China

Fixed-time synchronization(FTS)of delayed memristor-based neural networks(MNNs)with discontinuous activations is studied in this *** continuous and discontinuous activations are considered *** the mixed delays which are closer to reality are taken into the ***,two kinds of control schemes are proposed,including feedback and adaptive control *** on some lemmas,mathematical inequalities and the designed controllers,a few synchronization criteria are ***,the upper bound of settling time(ST)which is independent of the initial values is ***,the feasibility of our theory is attested by simulation examples.

关键词： Memristor-based neural networks fixed-time synchronization mixed delays discontinuous activations adaptive control

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Simplified prescribed performance tracking control of uncertain nonlinear systems

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Science China(Information Sciences) 2022年第8期65卷 291-292页

作者： Quan-Yong FAN Shuoheng XU Bin XU jianlong qiu School of Automation Northwestern Polytechnical University School of Automation and Electrical Engineering Linyi University Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University

Dear editor,In practical engineering, some certain transient and steady performance, such as overshoot, adjustment time, and steady-state error, need to meet specific requirements. In order to ensure that the system s...

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Improved in situ sequencing for high-resolution targeted spatial transcriptomic analysis in tissue sections

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Journal of Genetics and Genomics 2023年第9期50卷 652-660页

作者： Xinbin Tang Jiayu Chen Xinya Zhang Xuzhu Liu Zhaoxiang Xie Kaipeng Wei jianlong qiu Weiyan Ma Chen Lin Rongqin Ke School of Medicine and School of Biomedical Sciences Huaqiao UniversityQuanzhouFujian 362021China Department of Pathology The 910 HospitalQuanzhouFujian 362000China

Spatial transcriptomics enables the study of localization-indexed gene expression activity in tissues,providing the transcriptional landscape that in turn indicates the potential regulatory networks of gene *** situ sequencing(ISS)is a targeted spatial transcriptomic technique,based on padlock probe and rolling circle amplification combined with next-generation sequencing chemistry,for highly multiplexed in situ gene expression ***,we present improved in situ sequencing(IISS)that exploits a new probing and barcoding approach,combined with advanced image analysis pipelines for high-resolution targeted spatial gene expression *** develop an improved combinatorial probe anchor ligation chemistry using a 2-base encoding strategy for barcode *** new encoding strategy results in higher signal intensity as well as improved specificity for in situ sequencing,while maintaining a streamlined analysis pipeline for targeted spatial *** show that IISS can be applied to both fresh frozen tissue and formalin-fixed paraffin-embedded tissue sections for single-cell level spatial gene expression analysis,based on which the developmental trajectory and cell-cell communication networks can also be constructed.

关键词： Spatial transcriptomics In situsequencing Single cell Geneexpression profiling Imaging

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扩散和时滞影响下病毒感染模型的Turing不稳定性和Hopf分岔

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扬州大学学报（自然科学版） 2024年第1期27卷 1-8页

作者：王赫肖敏庄乾辉梁金玲邱建龙蒋海军南京邮电大学自动化学院/人工智能学院南京210023 东南大学数学学院南京210096 临沂大学自动化与电气工程学院山东临沂276000 新疆大学数学与系统科学学院乌鲁木齐830047

考虑反应扩散和时滞因素,研究了病毒感染模型的Turing不稳定性和Hopf分岔.首先,给出无时滞情形下的Turing不稳定条件;其次,选择时滞为分岔参数,得到Hopf分岔的判据,同时给出分岔阈值的解析表达;最后,通过数值模拟仿真验证了理论结果的... 详细信息

考虑反应扩散和时滞因素,研究了病毒感染模型的Turing不稳定性和Hopf分岔.首先,给出无时滞情形下的Turing不稳定条件;其次,选择时滞为分岔参数,得到Hopf分岔的判据,同时给出分岔阈值的解析表达;最后,通过数值模拟仿真验证了理论结果的正确性.

关键词：病毒感染模型反应扩散时滞 Turing不稳定性 Hopf分岔

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Guaranteed cost boundary control for cluster synchronization of complex spatio-temporal dynamical networks with community structure

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Science China(Information Sciences) 2018年第5期61卷 254-266页

作者： Chengdong YANG Jinde CAO Tingwen HUANG Jianbao ZHANG jianlong qiu School of Automation Southeast University School of Information Science and Technology Linyi University School of Mathematics and Research Center for Complex Systems and Network SciencesSoutheast University Texas A & M University at Qatar School of Automobile Engineering Linyi University

This paper discusses the problem for cluster synchronization control of a nonlinear complex spatio-temporal dynamical network(CSDN) with community structure. Initially, a collocated boundary controller with boundary measurement is studied to achieve the cluster synchronization of the CSDN. After that, a guaranteed cost boundary controller is further developed based on the obtained results. Furthermore,the suboptimal control design is addressed by minimizing an upper bound of the cost function. Finally, a numerical example is given to demonstrate the effectiveness of the proposed methods.

关键词： cluster synchronization complex dynamical networks boundary control guaranteed control LMIs

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Improving dynamics of integer-order small-world network models under fractional-order PD control

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Science China(Information Sciences) 2020年第1期63卷 200-212页

作者： Huaifei WANG Min XIAO Binbin TAO Fengyu XU Zhengxin WANG Chengdai HUANG jianlong qiu College of Automation Nanjing University of Posts and Telecommunications School of Mathematics and Physics Qingdao University of Science and Technology College of Science Nanjing University of Posts and Telecommunications School of Mathematics and Statistics Xinyang Normal University School of Automation and Electrical Engineering Linyi University

The optimal control of dynamics is a popular topic for small-world networks. In this paper, we address the problem of improving the behavior of Hopf bifurcations in an integer-order model of small-world networks. In this study, the time delay is used as the bifurcation parameter. We add a fractional-order proportional-derivative(PD) scheme to an integer-order Newman-Watts(N-W) small-world model to better control the Hopf bifurcation of the model. The most important contribution of this paper involves obtaining the stability of the system and the variation of the conditions of the Hopf bifurcation after a fractional PD controller is added to the integer-order small-world model. The results demonstrate that the designed PD controller can be used to restrain or promote the occurrence of Hopf bifurcations by setting appropriate parameters. We also describe several simulations to verify our research results.

关键词： small-world networks stability Hopf bifurcation bifurcation control fractional-order PD control

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Set stability for switched Boolean networks with open-loop and closed-loop switching signals

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Science China(Information Sciences) 2018年第9期61卷 232-240页

作者： Xiaohua LI Jianquan LU jianlong qiu Xiangyong CHEN Xiaodi LI Fuad E.ALSAADI School of Automation and Engineering and Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong Linyi University School of Mathematics and Statistics Shandong Normal University School of Mathematics Southeast University Department of Electrical and Computer Engineering King Abdulaziz University

This paper mainly analyzes the set stability of switched Boolean networks(SBNs) by considering two different methods of switching signals in the form of open-loop and closed-loop switching. First, the definitions of set stability are proposed for SBNs with such switching signals. Then, we propose two different algorithms to find the largest open-loop switching invariant set and largest closed-loop switching invariant set. Furthermore, the corresponding set stability conditions for SBNs are given in each case. In addition,the constructive procedures are presented to design the switching signal sequence to achieve set stability under the two different methods of switching signals. Finally, the effectiveness of the proposed algorithms and research results are demonstrated using two numerical examples.

关键词： switched Boolean network set stability semi-tensor product switching signal design

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