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检索条件"机构=Key Laboratory of Dependable Service Computing in Cyber"

共 353 条记录，以下是161-170 订阅

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Echo state network-based visibility graph method for nonlinear time series prediction

Echo state network-based visibility graph method for nonline...

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第30届中国控制与决策会议

作者： Qian Li Yuguang Chen Nian Ao Xu Han Zhou Wu Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) of Ministry of Education College of Automation Chongqing University

For an echo state network(ESN), the reservoir topology plays a very important role in network ***, the computing capability of classical random structure is limited, and it can not meet the prediction accuracy requirement of some highly complicated prediction tasks. Therefore, different algorithms to construct new reservoir topology based on complex network theory have been proposed, amongst of which, the visibility graph algorithm shows to be more effective and simple. In this paper, a new ESN based on the visibility graph(VGESN) is proposed to perform the prediction of Mackey-Glass chaotic system(MGS) and nonlinear autoregressive moving average(NARMA) time series. Furthermore, the network features of associated graphs are analysed, including the small-world feature and scalefree property. The simulation results indicate that the proposed VGESN has better prediction performance compared with traditional ESN. The analytical results of network characteristics also reveal that the MGS associated graph has small-world feature, while the NARMA associated graph has both small-world and scale-free property.

关键词： echo state network visibility graph network characteristics prediction

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Image Enhancement Algorithm for Highway Tunnel Based on Imaging Model Estimation 3

Image Enhancement Algorithm for Highway Tunnel Based on Imag...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Yongxue Li Min Zhao Dihua Sun College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education

Highway tunnel environment is dim,with the interaction of multi-color light sources,which forms a light *** a complicated scene makes the image blurred and arouses difficulties in the image enha

ISBN: (纸本)9781509053643;9781509053636

Highway tunnel environment is dim,with the interaction of multi-color light sources,which forms a light *** a complicated scene makes the image blurred and arouses difficulties in the image enha

关键词： Estimation Image reconstruction Information entropy Parameter estimation

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Adaptive Fault-tolerant Control for Uncertain Nonlinear System with Guaranteed Pre-described Performance 29

Adaptive Fault-tolerant Control for Uncertain Nonlinear Syst...

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第29届中国控制与决策会议

作者： Zhiyuan Nie Yongduan Song Liu He Kai Zhao The Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of EducationCollege of AutomationChongqing University

ISBN: (纸本)9781509046584

In this paper we present a computationally inexpensive adaptive control method for a class of single-input single-output(SISO) uncertain nonlinear dynamic system with actuator failure,modeling uncertainties and external *** blending system deep-rooted information into backstepping control design and with the help of Nussbaum gains,we develop a robust adaptive control scheme to deal with system uncertainties and actuation failures,which ensures pre-described performance specifications without involving complex online *** theoretical analysis and numerical simulation verify the effectiveness and benefits of the proposed method.

关键词： Adaptive control Fault-tolerant Pre-described performance Backstepping Nussbaum gain Deep-rooted information

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Intersection Signal Timing Estimation Using Bus GPS Data 29

Intersection Signal Timing Estimation Using Bus GPS Data

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第29届中国控制与决策会议

作者： YANG Chencheng SUN Dihua ZHAO Min CHENG Senlin School of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

Signal timing information(such as cycle length,red time,etc.) is important to bus scheduling and travel time estimation,*** it is of great significance to estimate the signal timing *** existing signal timing estimation method cannot timely respond to the changes of the signal timing parameters,and it cannot well estimate the time that the vehicle arrives at the stop ***,it assumes a uniform arrival pattern of the *** order to solve the above problems,a new signal timing estimation method using bus GPS data is *** order to estimate the signal timing parameters,an improved interpolation method is proposed to estimate intersection travel time of individual vehicles,and a new method of cycle breaking is ***,a method for estimating cycle boundary and cycle length using the GPS data sequence near the stop line is *** with the cycle boundary estimation results,a new method for estimating red time is *** simulation and field test results show that the proposed signal timing estimation method is valid and the estimation effect is obviously better than the effect of the existing method.

关键词： Intersections Bus GPS Data Signal Timing Estimation Interpolation Method

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Highway Traffic Abnormal State Detection Based on PCA-GA-SVM Algorithm 29

Highway Traffic Abnormal State Detection Based on PCA-GA-SVM...

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第29届中国控制与决策会议

作者： Zhao Min Liu Yanlei Sun Dihua Cheng Senlin College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

In the highway traffic abnormal state detection,Support Vector Machine(SVM) algorithm is widely researched in recent years,but it still has some *** at the problem of improper selection of feature vector,the space and time characteristics of highway traffic abnormal state data is summarized,and the feature vectors of SVM are selected by Principal Component Analysis(PCA) *** solve the model parameters selection problem,the theory of Genetic algorithm(GA) is used to select SVM model parameters *** two-class SVM classification is extended to multi-class SVM classification which has a better command of the traffic running state on *** to the severity of the traffic incident,the traffic is divided into the state of no event,the state of mild congestion and severe *** test software of SVM algorithm and the improved one are developed by using MATLAB and LIBSVM *** experimental result shows that the improved algorithm has a higher accuracy and a higher detection rate.

关键词： Abnormal Traffic State Detection Principal Component Analysis Genetic Algorithm Support Vector Machine

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An Extended FVD Model Considering Road Radians and Gradients 29

An Extended FVD Model Considering Road Radians and Gradients

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第29届中国控制与决策会议

作者： Sun Dihua Wang Xuanjin Zhao Min Li Huamin Cheng Senlin College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

The microscopic car following model can depict the interaction between adjacent vehicles,but the existing studies rarely consider the effect of complex road conditions on the *** on the FVD model,an extended car following model with the consideration of the road radians and gradients is proposed in this *** linear stability condition is obtained by applying the linear stability *** in different scenarios are carried out by VISSIM to evaluate the model *** show that the extended FVD model can accurately reflect the driving behavior under real road conditions.

关键词： Car Following Model FVD Model Road Radians Road Gradients VISSIM

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Bus Penetration Rate Estimation of Road Segment Using Bus GPS Data

Bus Penetration Rate Estimation of Road Segment Using Bus GP...

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第30届中国控制与决策会议

作者： Dihua Sun Qiuqu Chen Min Zhao Linjiang Zheng Weining Liu Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education College of Automation Chongqing University College of Computer Science Chongqing University

To realize the estimation of bus penetration rate in road segment using bus GPS data, a method is proposed in this paper to estimate bus penetration rate in single signal cycle, according to the bus position at the end of red phase at a signalized intersection. Sum of squares for factor A(SSA) of bus penetration rate and time function in different signal cycle length are selected to characterize the accuracy and real-time quality of the estimation, on the basis, objective function is constructed to find appropriate signal cycle length as the time window. Aiming at the possible abnormal points in single cycle bus penetration rate, quartile method was used to eliminate them. In the end, simulation tests were carried out under different traffic flow and bus penetration rates, the results show that the proposed method in this paper has better performance when traffic flow is higher than 600 veh/h, and the bus penetration rate is higher than 5%. On the same time, a field test was conducted in an arterial road of Chongqing, the results show that the estimation method proposed in this paper can estimate the bus penetration rate of road segment effectively.

关键词： Intersection Bus GPS data Bus penetration rate Objective function and Quartile method

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Fuzzy Evaluation of Traffic Flow Stability Based on the Discreteness of Traffic Parameters 29

Fuzzy Evaluation of Traffic Flow Stability Based on the Disc...

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第29届中国控制与决策会议

作者： LIAO Xiao-yong CHEN Qing-yuan SUN Di-hua ZHAO Min CHENG Sen-lin School of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

The microscopic traffic flow stability is difficult to describe the influences of the dynamic relationship between vehicles on traffic conditions. In order to solve the problem, from the perspective of macroscopic and microscopic parameters of traffic flow and considering the discreteness of velocity and following distance, the paper selected average velocity, average following distance, the variation coefficient of velocity and following distance as the traffic flow stability indices. And a stability evaluation model was constructed based on fuzzy theory. Using VISSIM simulation software, simulation experiment was carried out. The influences of traffic volume, traffic incident, traffic signals and GPS permeability on traffic flow stability evaluation were analyzed. Results show that traffic flow stability decreases gradually with the increase of volume. When there is a traffic incident, traffic flow stability decreases at the upstream section, while it is contrary to the downstream section. With the decrease of GPS permeability, the differences of the four indices and traffic flow stability at these GPS permeability with that of full permeability are becoming bigger and bigger. So the behavior described by the model is consistent with the actual state of the traffic system, proving that the model is real and effective. Thus it can be used to evaluate urban traffic flow stability macroscopically.

关键词： Traffic Flow Stability Fuzzy Evaluation Velocity Discreteness Following Distance Discreteness

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Vehicle detection method based on deep learning and multi-layer feature fusion 30

Vehicle detection method based on deep learning and multi-la...

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30th Chinese Control and Decision Conference, CCDC 2018

作者： Min, Zhao Jian, Jia Dihua, Sun Yi, Tang College of Automation Chongqing University Chongqing400044 China Key Laboratory of Dependable Service Computer in Cyber Physical Society Ministry of Education Chongqing China Chongqing Top Tech Information Co. Ltd Chongqing401147 China

ISBN: (纸本)9781538612439

Vehicle detection plays a very vital role in the environmental perception of smart driving car. In real driving scene, the existing methods have some problems in detecting occluded or small vehicle objects, and thus the detection accuracy cannot meet the actual needs. This paper proposed a new method to detect vehicle objects based on deep learning and multi-layer feature fusion. First, building a convolutional neural network (CNN) to extract the advanced features. Then several layers with different shades of the network are selected for detection and preset candidate boxes are also used, so that detection model can adapt to multi-scale objects. In addition, multi-layer feature fusion structure is designed to enhance semantic information. The contrast experimental results indicate that our method has achieved better detection accuracy on test set, and the detection speed has reached real-time level, which can meet the requirements of smart driving car in practical application. © 2018 IEEE.

关键词： Feature extraction Vehicle detection Convolution Machine learning Semantics Automobiles Training

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A Historical Harvested Energy Assigning Mechanism for Multi-hop Multi-relay Energy Harvesting Wireless Sensor Networks 29

A Historical Harvested Energy Assigning Mechanism for Multi-...

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第29届中国控制与决策会议

作者： Yuanchang Zhong Zunzhao Wang Xiaofan Zhang Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education.Chongqing University School of Automation Chongqing University

ISBN: (纸本)9781509046584

The load imbalance of sensor node is a severe problem for Wireless Sensor Networks(WSNs).In this paper,we firstly propose a Multi-hop Multi-relay Network Model(MMNM) with Relaying Head(RH) to balance the load among sensor *** the emergence of energy harvesting techniques brings us the Energy Harvesting Wireless Sensor Networks(EH-WSNs).Due to the indeterminacy of energy that can be harvested in ambient environment,study on energy management mechanism to achieve energy neutral is *** proposed a novel Sensor Nodes Pair(SNP) policy dividing all the sensor nodes into two groups GSN and GSN'.With the function rotation of GSN and GSN',we achieve continuous data transmission avoiding time *** a Historical Harvested Energy Assigning Mechanism(H-HEAM) is proposed to ensure the energy neutral constrains and perpetual network *** simulation results verify that our MMNM and H-HEAM are indeed able to improve the network overall performance on throughput,energy utilization efficiency and time delay.

关键词： Wireless Sensor Networks Energy Harvesting Energy Neutral Energy Management Mechanism

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