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Controlling chaos and supressing chimeras in a fractional-order discrete phase-locked loop using impulse control

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Chinese Physics B 2021年第12期30卷 63-73页

作者： Karthikeyan Rajagopal Anitha Karthikeyan Balamurali Ramakrishnan centre for Nonlinear Systems Chennai Institute of TechnologyChennaiIndia Department of Electronics and communication Engineering Prathyusha Engineering CollegeChennaiIndia

A fractional-order difference equation model of a third-order discrete phase-locked loop(FODPLL) is discussed and the dynamical behavior of the model is demonstrated using bifurcation plots and a basin of attraction. We show a narrow region of loop gain where the FODPLL exhibits quasi-periodic oscillations, which were not identified in the integer-order model. We propose a simple impulse control algorithm to suppress chaos and discuss the effect of the control step. A network of FODPLL oscillators is constructed and investigated for synchronization behavior. We show the existence of chimera states while transiting from an asynchronous to a synchronous state. The same impulse control method is applied to a lattice array of FODPLL, and the chimera states are then synchronized using the impulse control algorithm. We show that the lower control steps can achieve better control over the higher control steps.

关键词： discrete Josephson junction fractional order chaos impulse control chimera

Intrusion detection systems for wireless sensor networks using computational intelligence techniques

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Cybersecurity 2024年第2期7卷 81-95页

作者： Vaishnavi Sivagaminathan Manmohan Sharma Santosh Kumar Henge Lovely professional University PhagwaraIndia

Network Intrusion Detection Systems(NIDS)are utilized to find hostile network *** can be accom-plished by looking at traffic network activity,but it takes a lot of *** NIDS heavily utilizes approaches for data extraction and machine learning to find *** terms of feature selection,NIDS is far more *** is accurate since anomaly identification uses a number of time-consuming *** of this,the feature selec-tion method influences how long it takes to analyze movement patterns and how clear it *** goal of the study is to provide NIDS with an attribute selection *** has been used for that *** Network Intrusion Detection System that is being developed will be able to identify any malicious activity in the network or any unusual behavior in the network,allowing the identification of the illegal activities and safeguarding the enormous amounts of confidential data belonging to the customers from being *** the research,datasets were produced utilising both a network infrastructure and a simulation *** is used to gather data packets whereas Cisco Packet Tracer is used to build a network in a simulated ***,a physical network consisting of six node MCUs connected to a laptop and a mobile hotspot,has been built and communication packets are being recorded using the Wireshark *** train several machine learning models,all the datasets that were gatheredcre-ated datasets from our own studies as well as some common datasets like NSDL and UNSW acquired from Kaggle-were ***,PsO,which is an optimization method,has been used with these ML algorithms for feature *** the research,KNN,decision trees,and ANN have all been combined with PSO for a specific case *** it was found demonstrated the classification methods PSO+ANN outperformed PSO+KNN and PSO+DT in this case study.

关键词： Network intrusion detection systems(NIDS) Cisco packet tracer Wireshark tool Machine learning PSO Cybersecurity Optimization

Design of double protograph LDPC codes based JSCC systems via the ACE-PEG algorithm

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Science China(Information Sciences) 2024年第7期67卷 339-340页

作者： Yijie LV Jiguang HE Shaohua HONG Department of Information and communication Engineering Xiamen University Technology Innovation Institute centre for Wireless communications Oulu University

In this study, we present a state-of-the-art design of double protograph low-density parity-check (DP-LDPC) codes based on progressive edge-growth (PEG) algorithm with approximated cycle extrinsic message degree (ACE)... 详细信息

关键词： Benchmarking

Improving time–frequency sparsity for enhanced audio source separation in degenerate unmixing estimation technique algorithm

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Journal of Control and Decision 2022年第4期9卷 502-515页

作者： Shahin M.Abdulla J.Jayakumari Department of Electronics and communication Engineering Noorul Islam Centre for Higher EducationNagercoilIndia Department of Electronics and communication Engineering Mar Baselios College of Engineering and TechnologyThiruvananthapuramIndia

In recent years,much research has been focused on separating acoustic sources from their *** Unmixing Estimation Technique(DUET)is one of the widely popular meth-ods of Blind Source Separation(BSS)in underdetermined *** is based on a signal recovery sparsity algorithm whose performance is strongly influenced by sparsity in the Time-Frequency(TF)*** and an several sources in mixtures limit the sparsity resulting in performance degradation in *** an enhanced strategy has been adopted by combin-ing DUET with adaptive noise cancellation utilising the Dual-Tree Complex Wavelet Transform(DTCWT)as a pre-processor and TF refinement utilising Synchroextracting Transform(SET)as a *** improves the sparsity of sources and energy concentrations in a TF *** of the signal separation performance evaluation reveal that the proposed algorithm outperforms conventional DUET in signal separation,especially in real-time scenarios.

关键词： Blind source separation time-frequency dual-tree complex wavelet transform synchroextracting sparsity

Sensing Time Optimization in Energy-Harvesting Cognitive Radio with Interference Rate Control

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China communications 2016年第1期13卷 47-56页

作者： DENG Zhian LIU Xin JIA Min LU Weidang School of Information Science and Technology Dalian Maritime University School of Information and communication Engineering Dalian University of Technology communication Research centre Harbin Institute of Technology College of Information Engineering Zhejiang University of Technology

In this paper,an energy-harvesting cognitive radio(CR) is considered,which allows the transmitter of the secondary user(SU) to harvest the primary signal energy from the transmitter of the primary user(PU) when the presence of the PU is *** the harvested energy is converted into the electrical power to supply the transmission of the SU at the detected absence of the *** adopting the periodic spectrum sensing,the average total transmission rate of the SU is maximized through optimizing the sensing time,subject to the constraints of the probabilities of false alarm and detection,the harvested energy and the interference rate *** simulation results show that there deed exists an optimal sensing time that maximizes the transmission rate,and the maximum transmission rate of the energy-harvesting CR can better approach to that of the traditional CR with the increasing of the detection probability.

关键词： cognitive radio spectrum sensing energy detection energy harvest transmission rate

A mixture of HMM,GA,and Elman network for load prediction in cloud-oriented data centers

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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第11期14卷 845-858页

作者： Da-yu XU Shan-lin YANG Ren-ping LIU MOE Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Information and communication Technologies centre CSIRO

The rapid growth of computational power demand from scientific,business,and Web applications has led to the emergence of cloud-oriented data *** centers use pay-as-you-go execution environments that scale transparently to the *** prediction is a significant cost-optimal resource allocation and energy saving approach for a cloud computing *** linear or nonlinear prediction models that forecast future load directly from historical information appear less *** classification before prediction is necessary to improve prediction *** this paper,a novel approach is proposed to forecast the future load for cloud-oriented data ***,a hidden Markov model(HMM) based data clustering method is adopted to classify the cloud *** Bayesian information criterion and Akaike information criterion are employed to automatically determine the optimal HMM model size and cluster *** HMMs are then used to identify the most appropriate cluster that possesses the maximum likelihood for current *** the data from this cluster,a genetic algorithm optimized Elman network is used to forecast future *** results show that our algorithm outperforms other approaches reported in previous works.

关键词： Cloud computing Load prediction Hidden Markov model Genetic algorithm Elman network

Quantum mechanical photoncount formula derived by entangled state representation

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Chinese Physics B 2011年第8期20卷 216-221页

作者：胡利云王资生 L.C.Kwek 范洪义 College of Physics and communication Electronics Jiangxi Normal University centre for Quantum Technologies National University of Singapore Department of Physics Shanghai Jiao Tong University

By introducing the thermo entangled state representation, we derive four new photocount distribution formulas for a given light field density operator. It is shown that these new formulas, which are convenient to calculate the photocount, can be expressed as integrations over a Laguree Gaussian function with a characteristic function, Wigner function, Q-function and P-function, respectively.

关键词： photo-counting distribution entangled state representation

Adaptive control of a class of nonlinear time-varying systems with multiple models

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Control Theory and Technology 2016年第4期14卷 323-334页

作者： Koshy GEORGE Karpagavalli SUBRAMANIAN PES centre for Intelligent Systems Department of Telecommunication Engineering PES Institute of Technology Bangalore India PES centre for Intelligent Systems Department of Electronics and communication Engineering PES University Bangalore India

The adaptive control of nonlinear systems that are linear in the unknown but time-varying parameters are treated in this paper. Since satisfactory transient performance is an important factor, multiple models are required as these parameters change abruptly in the parameter space. In this paper we consider both the multiple models with switching and tuning methodology as well as multiple models with second level adaptation for this class of systems. We demonstrate that the latter approach is better than the former.

关键词： Nonlinear time-varying systems adaptive control multiple models

Improving BDD-based attractor detection for synchronous Boolean networks

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Science China(Information Sciences) 2016年第8期59卷 7-22页

作者： Qixia YUAN Hongyang QU Jun PANG Andrzej MIZERA Faculty of Science Technology and Communication University of Luxembourg Department of Automatic Control & Systems Engineering University of Sheffield Interdisciplinary centre for Security Reliability and Trust University of Luxembourg

Boolean networks are an important formalism for modelling biological systems and have attracted much attention in recent years. An important challenge in Boolean networks is to exhaustively find attractors,which represent steady states of a biological network. In this paper, we propose a new approach to improve the efficiency of BDD-based attractor detection. Our approach includes a monolithic algorithm for small networks,an enumerative strategy to deal with large networks, a method to accelerate attractor detection based on an analysis of the network structure, and two heuristics on ordering BDD variables. We demonstrate the performance of our approach on a number of examples and on a realistic model of apoptosis in hepatocytes. We compare it with one existing technique in the literature.

关键词： Boolean networks systems biology binary decision diagram attractor verification algorithms