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  • 1
    Schlagwort(e): Neural networks (Computer science)-Congresses. ; Electronic books.
    Materialart: Online-Ressource
    Seiten: 1 online resource (514 pages)
    Ausgabe: 1st ed.
    ISBN: 9783319253930
    Serie: Lecture Notes in Computer Science Series ; v.9377
    DDC: 006.32
    Sprache: Englisch
    Anmerkung: Intro -- Preface -- Organization -- Contents -- Intelligent Control -- A Novel T-S Fuzzy Model Based Adaptive Synchronization Control Scheme for Nonlinear Large-Scale Systems with Uncertainties and Time-Delay -- 1 Introduction -- 2 Background and Preliminaries -- 2.1 Nonlinear Large-Scale Systems with Uncertainties and Time-Delay via T-S Fuzzy Model -- 2.2 Mathematical Preliminaries -- 3 Fuzzy Adaptive Synchronization for a Nonlinear Large-Scale System with Uncertainties and Time-Delay -- 4 Numerical Simulation -- 5 Conclusion -- References -- Finite-Time Control for Markov Jump Systems with Partly Known Transition Probabilities and Time- Varying Polytopic Uncertainties -- 1 Introduction -- 2 Problem Statement and Preliminaries -- 3 Main Result -- 4 Illustrative Example -- 5 Conclusion -- References -- Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation -- 1 Introduction -- 2 Model Description and Preliminaries -- 3 Main Results -- 4 Illustrative Examples -- 5 Conclusions -- References -- Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier -- 1 Introduction -- 2 Dynamic Model of the Rrectifier Under Study -- 3 NDSC for PWM Rectifier -- 3.1 Controller Design -- 3.2 Stability Analysis -- 4 Simulation Results and Analysis -- 5 Conclusions -- References -- A Terminal-Sliding-Mode-Based Frequency Regulation -- 1 Introduction -- 2 System Configuration -- 2.1 Load Frequency Control System -- 2.2 Simplified Wind Turbine Model -- 2.3 Analysis about Nonlinearities -- 3 Control Design -- 3.1 Design of Terminal Reaching Law based Sliding Mode Control -- 3.2 Design of Radial Basis Function (RBF) Neural Networks -- 3.3 Stability Analysis -- 4 Simulation Results -- 5 Conclusions -- References. , A New Discrete-Time Iterative Adaptive Dynamic Programming Algorithm Based on Q-Learning -- 1 Introduction -- 2 Problem Formulation -- 3 Discrete-Time Policy Iteration ADP Algorithm Based on Q-Learning -- 3.1 Derivation of the Discrete-Time Policy Iteration ADP Algorithm Based on Q-Learning -- 3.2 Properties of the Policy Iteration Based Deterministic Q-Learning Algorithm -- 4 Simulation Study -- 5 Conclusions -- References -- Adaptive Neural Network Control for a Class of Stochastic Nonlinear Strict-Feedback Systems -- 1 Introduction -- 2 Preliminaries and Problem Formulation -- 3 Controller Design -- 4 Stability Analysis -- 5 Simulation Example -- 6 Conclusion -- References -- Event-Triggered H∞ Control for Continuous-Time Nonlinear System -- 1 Introduction -- 2 Problem Statement -- 3 Event-Triggered Optimal Controller Design -- 4 Online Neuro-Optimal Control Scheme -- 5 Simulation -- 6 Conclusion -- References -- Adaptive Control of a Class of Nonlinear Systems with Parameterized Unknown Dynamics -- 1 Introduction -- 2 Problem Formulation -- 3 Main Result -- 3.1 Adaptive Controller Design -- 3.2 Stability Analysis -- 4 Illustrative Example -- 5 Conclusions -- References -- H∞ Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration -- 1 Introduction -- 2 Problem Description -- 3 Model-Free PI Method for H∞ Control Design -- 3.1 Finite-Dimensional Problem Reformulation -- 3.2 Model-Free PI Method -- 3.3 Implementation -- 4 Simulation Studies -- 5 Conclusions -- References -- Exponential Synchronization of Complex Delayed Dynamical Networks with Uncertain Parameters via Intermittent Control -- 1 Introduction -- 2 Model and Preliminaries -- 3 Main Result -- 4 Numerical Example -- 5 Conclusions -- References -- Inverse-Free Scheme of G1 Type to Velocity-Level Inverse Kinematics of Redundant Robot Manipulators. , 1 Introduction -- 2 Inverse Scheme Formulation -- 3 G1 Type Scheme Formulation -- 4 Simulations -- 4.1 Square Path Tracking -- 4.2 ``Z'' Path Tracking -- 5 Physical Experiment -- 6 Conclusion -- References -- Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Unmanned Underwater Vehicle -- 1 Introduction -- 2 UUV Dynamic Model -- 3 Trajectory Tracking Controller -- 3.1 Backstepping Control -- 3.2 Fuzzy-Neural-Network-Inherited Backstepping Control -- 4 Simulation Studies -- 5 Conclusion -- References -- Neurodynamics Analsysis -- A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays -- 1 Introduction -- 2 Problem Formulation -- 3 Main Results -- 4 Simulation Example -- 5 Conclusions -- References -- Exponential Lag Synchronization for Delayed Cohen-Grossberg Neural Networks with Discontinuous Activations -- 1 Introduction and Preliminaries -- 2 Main Results -- 3 Numerical Simulations -- 4 Conclusion -- References -- Mean Square Exponential Stability of Stochastic Delayed Static Neural Networks with Markovian Switching -- 1 Introduction -- 2 Mathematical Model and Problem Formulation -- 3 Mean Square Exponential Stability Criterion -- 4 Conclusion -- References -- Robust Multistability and Multiperiodicity of Neural Networks with Time Delays -- 1 Introduction -- 2 Main Results -- 3 Conclusions -- References -- Memristor -- A Novel Four-Dimensional Memristive Hyperchaotic System with Its Analog Circuit Implementation -- 1 Introduction -- 2 The Memristor as Nonlinear Part in a Hyperchaotic System -- 2.1 A New Memristor Hyperchaotic System -- 2.2 Hyperchaotic Attractors Incorporating with a Memristor -- 2.3 Dynamical Behaviors of the System -- 3 Analog Implementation of Memristive Hyperchaotic Attractor -- 4 Conclusion -- References -- Memristor Crossbar Array for Image Storing -- 1 Introduction. , 2 Memristor Crossbar Array for Image Overlay -- 3 Simulation on the Image Storing -- 4 Conclusions -- References -- Lagrange Stability for Memristor-Based Neura lNetworks with Time-Varying Delayvia Matrix Measure -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 3 Main Results -- 4 Examples -- 5 Conclusion -- References -- Multistability of Memristive Neural Networks with Non-monotonic Piecewise Linear Activation Functions -- 1 Introduction -- 2 Model Description and Preliminaries -- 2.1 Model -- 2.2 Notations -- 2.3 Properties and Definitions -- 3 Main Results -- 4 Conclusions -- References -- Global Exponential Anti-synchronization of Coupled Memristive Chaotic Neural Networks with Time-Varying Delays -- 1 Introduction -- 2 Problem Formulation -- 3 Preliminaries -- 4 Main Results -- 5 Illustrative Example -- 6 Conclusions -- References -- Computer Vision -- Representative Video Action Discovery Using Interactive Non-negative Matrix Factorization -- 1 Introduction -- 2 Video Representation -- 3 Non-negative Matrix Factorization for Video Action Discovery -- 3.1 Basic Non-negative Matrix Factorization -- 3.2 Interactive Non-negative Matrix Factorization -- 3.3 Optimization Method -- 4 Performance Evaluation -- 4.1 Dataset -- 4.2 Operation Process -- 4.3 Performance Evaluation on the Interactive Interaction -- 5 Conclusion and Future Work -- References -- Image Retrieval Based on Texture Direction Feature and Online Feature Selection -- 1 Introduction -- 2 Texture Direction Feature -- 3 Online Feature Selection -- 4 Experimental Results -- 4.1 Experimental Dataset -- 4.2 Recall versus Precision -- 4.3 ARR and ANMRR -- 5 Conclusions -- References -- Interlinked Convolutional Neural Networksfor Face Parsing -- Abstract -- Keywords -- 1 Introduction -- 2 iCNN -- 2.1 Convolutional Layers -- 2.2 Interlinking Layers -- 2.3 Output Integration. , 2.4 Output Layer -- 2.5 Training -- 2.6 Parameter Setting -- 3 Face Parsing with iCNNs -- 3.1 Stage 1: Facial Parts Localization -- 3.2 Stage 2: Fine Labeling -- 4 Experiments -- 4.1 Dataset -- 4.2 Training and Testing -- 4.3 Results -- 5 Concluding Remarks -- Acknowledgement -- References -- Image Tag Completion by Local Learning -- 1 Introduction -- 2 Proposed Method -- 3 Experiments -- 3.1 Setup -- 3.2 Results -- 4 Conclusion and Future Works -- References -- Haarlike Feature Revisited: Fast Human Detection Based on Multiple Channel Maps -- 1 Introduction -- 2 Related Works -- 2.1 Multiple Channel Maps -- 2.2 Haarlike Feature (HF) -- 3 Statistical Haarlike Feature (SHF) -- 4 Experiments -- 4.1 Experiment Setting -- 4.2 Comparison with HF and SHF -- 4.3 Comparisons with State-of-the-Arts Algorithms -- 4.4 Runtime Comparison -- 5 Conclusion -- References -- Wood Surface Quality Detection and Classification Using Gray Level and Texture Features -- 1 Introduction -- 2 Feature Extraction -- 2.1 Gray Level Histogram Features -- 2.2 Texture Features -- 3 Half Circle GLCM Template -- 4 Experimental Setup -- 5 Experiment Result -- 5.1 Calculate GLCM -- 5.2 Classification Accuracy of Different Features -- 5.3 Influence of GLCM Distance -- 5.4 Influence of GLCM Template -- 5.5 GLCM Run Time -- 6 Conclusion -- References -- Aerial Scene Classification with Convolutional Neural Networks -- 1 Introduction -- 2 Brief Introduction on CNN -- 3 CNN-Based Geographic Image Classification -- 3.1 Classification Without CNN Retraining -- 3.2 Classification with CNN Retraining -- 4 Experiment Results -- 5 Conclusion -- References -- Signal Processing -- A New Method for Image Quantization Based on Adaptive Region Related Heterogeneous PCNN -- 1 Introduction -- 2 Heterogeneous PCNN Properties and Application -- 2.1 Heterogeneous Neural Network -- 2.2 Basic PCNN Model. , 2.3 Heterogeneous PCNN and the Relation with HVS.
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  • 2
    Publikationsdatum: 2013-06-08
    Beschreibung: Surface plasmon resonance (SPR) sensor is widely used for its high precision and real-time analysis. Fiber-optic SPR sensor is easy for miniaturization, so it is commonly used in the development of portable detection equipment. It can also be used for remote, real-time, and online detection. In this study, a wavelength modulation fiber-optic SPR sensor is designed, and theoretical analysis of optical propagation in the optical fiber is also done. Compared with existing methods, both the transmission of a skew ray and the influence of the chromatic dispersion are discussed. The resonance wavelength is calculated at two different cases, in which the chromatic dispersion in the fiber core is considered. According to the simulation results, a novel multi-channel fiber-optic SPR sensor is likewise designed to avoid defaults aroused by the complicated computation of the skew ray as well as the chromatic dispersion. Avoiding the impact of skew ray can do much to improve the precision of this kind of sensor.
    Digitale ISSN: 1424-8220
    Thema: Chemie und Pharmazie , Elektrotechnik, Elektronik, Nachrichtentechnik
    Publiziert von MDPI Publishing
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  • 3
    Publikationsdatum: 2013-09-12
    Beschreibung: Mass production of high-quality graphene nanosheets (GNs) is essential for practical applications. We report that oxidation of graphite by low concentration KMnO4 at relatively high temperature (60°C) leads to edge-selectively oxidized graphite (EOG) which preserves the high crystalline graphitic structure on its basal planes while the edges are functionalized by oxygen-containing groups. Long-chain tetradecyl-ammonium salt (C14N+) could be spontaneously intercalated into EOG to form intercalated EOG-C14N+ compounds. Gentle and short-time sonication of EOG-C14N+ in toluene can full exfoliate EOG into edge-oxidized graphene nanosheets (EOGNs) with concentration of 0.67 mg/ml, monolayer population up to 90% and lateral size from 1 μm to 〉100 μm. The EOG and EOGN films show excellent electrical conductance, which is far superior to their graphene oxide (GO) counterparts. Our method provides an efficient way to produce high-quality GNs, and the resultant EOG also can be directly used for production of multifunctional materials and devices. Scientific Reports 3 doi: 10.1038/srep02636
    Digitale ISSN: 2045-2322
    Thema: Allgemeine Naturwissenschaft
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  • 4
    Publikationsdatum: 2013-01-31
    Beschreibung: Nature Methods 10, 96 (2013). doi:10.1038/nmeth.2335 Authors: Ying S Hu, Xiaolin Nan, Prabuddha Sengupta, Jennifer Lippincott-Schwartz & Hu Cang
    Print ISSN: 1548-7091
    Digitale ISSN: 1548-7105
    Thema: Biologie , Medizin
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  • 5
    Publikationsdatum: 2016-11-05
    Beschreibung: Nature Structural & Molecular Biology 23, 1011 (2016). doi:10.1038/nsmb.3302 Authors: Shanshan Hu, Xiaolin Wang & Ge Shan
    Print ISSN: 1545-9993
    Digitale ISSN: 1545-9985
    Thema: Biologie , Medizin
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  • 6
    Publikationsdatum: 2017-09-11
    Beschreibung: IJERPH, Vol. 14, Pages 1042: Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China International Journal of Environmental Research and Public Health doi: 10.3390/ijerph14091042 Authors: Bifeng Hu Xiaolin Jia Jie Hu Dongyun Xu Fang Xia Yan Li Heavy metal (HM) contamination and accumulation is a serious problem around the world due to the toxicity, abundant sources, non-biodegradable properties, and accumulative behaviour of HMs. The degree of soil HM contamination in China, especially in the Yangtze River Delta, is prominent. In this study, 1822 pairs of soil and crop samples at corresponding locations were collected from the southern Yangtze River Delta of China, and the contents of Ni, Cr, Zn, Cd, As, Cu, Hg, and Pb were measured. The single pollution index in soil (SPI) and Nemerow composite pollution index (NCPI) were used to assess the degree of HM pollution in soil, and the crop pollution index (CPI) was used to explore the degree of HM accumulation in crops. The bioaccumulation factor (BAF) was used to investigate the translocation of heavy metals in the soil-crop system. The health risks caused by HMs were calculated based on the model released by the U.S. Environmental Protection Agency. The SPIs of all elements were at the unpolluted level. The mean NCPI was at the alert level. The mean CPIs were in the following decreasing order: Ni (1.007) > Cr (0.483) > Zn (0.335) > Cd (0.314) > As (0.232) > Cu (0.187) > Hg (0.118) > Pb (0.105). Only the mean content of Ni in the crops exceeded the national standard value. The standard exceeding rates were used to represent the percentage of samples whose heavy metal content is higher than the corresponding national standard values. The standard exceeding rates of Cu, Hg, and Cd in soil were significantly higher than corresponding values in crops. Meanwhile, the standard exceeding rates of Ni, As, and Cr in crops were significantly higher than corresponding values in soil. The chronic daily intake (CDI) of children (13.8 × 10−3) was the largest among three age groups, followed by adults (6.998 × 10−4) and seniors (5.488 × 10−4). The bioaccumulation factors (BAFs) of all crops followed the order Cd (0.249) > Zn (0.133) > As (0.076) > Cu (0.064) > Ni (0.018) > Hg (0.011) > Cr (0.010) > Pb (0.001). Therefore, Cd was most easily absorbed by crops, and different crops had different capacities to absorb HMs. The hazard quotient (HQ) represents the potential non-carcinogenic risk for an individual HM and it is an estimation of daily exposure to the human population that is not likely to represent an appreciable risk of deleterious effects during a lifetime. All the HQs of the HMs for the different age groups were significantly less than the alert value of 1.0 and were at a safe level. This indicated that citizens in the study area face low potential non-carcinogenic risk caused by HMs. The total carcinogens risks (TCRs) for children, adults, and seniors were 5.24 × 10−5, 2.65 × 10−5, and 2.08 × 10−5, respectively, all of which were less than the guideline value but at the alert level. Ingestion was the main pathway of carcinogen risk to human health.
    Print ISSN: 1661-7827
    Digitale ISSN: 1660-4601
    Thema: Energietechnik , Medizin
    Publiziert von MDPI Publishing
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