The proceedings contain 93 papers. The topics discussed include: a trusted neighbor table based location verification for VANET routing;geographic and traffic load based routing strategy for VANET in urban traffic env...
ISBN:
(纸本)9781849192408
The proceedings contain 93 papers. The topics discussed include: a trusted neighbor table based location verification for VANET routing;geographic and traffic load based routing strategy for VANET in urban traffic environment;GSM-R network planning for high speed railway;distortion optimization based on power allocation for wireless video sensors;a load-balanced and energy-aware routing metric for wireless multimedia sensor networks;a revised AODV routing protocol based on the relative mobility of nodes;performance analysis of explicit control protocol (XCP);A/D conversion based on signal decomposition for DSP applications;research and implementation of IPv6 controllable multicast in the campus network;one data preprocessing method in high-speed network intrusion detection;a new Internet evolution model based on trade-off optimization;and an inverted T-shaped slot USB antenna for dual-band WLAN applications.
The proceedings contain 99 papers. The topics discussed include: the properties of spike-rate perceptron with super-Poisson input;comparison of artificial intelligence based techniques for short term load forecasting;...
ISBN:
(纸本)9780769541167
The proceedings contain 99 papers. The topics discussed include: the properties of spike-rate perceptron with super-Poisson input;comparison of artificial intelligence based techniques for short term load forecasting;a method for selecting optimum from evaluation schemes based on set pair analysis;a binary particle swarm optimization based on proportion probability;the optimization method of quick response manufacturing system based on the genetic algorithm;self-organizing map for clustering algorithms in programming codes;energy demand estimation of China using artificial neural network;predicting price of target of acquisitions based on RBF neural network;exchange rate prediction through ANN based on kernel regression;combined forecast of the demand of office building in shanghai based on artificial neural network;automated knowledge acquisition from discrete data based on NEWFM;and the algorithm of a reference compensation current for shunt active power filter control.
It is significant to controlnetwork congestion by time series forecasting research for network flow. The hybrid method of particle swarm optimization algorithm and RBF neural network is applied to predict network flo...
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An adaptive fuzzy neural networkcontrol system in cylindrical grinding process was proposed. In this system, the initial cylindrical grinding parameters were decided by the expert system based on fuzzy neural network...
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ISBN:
(纸本)087849300X
An adaptive fuzzy neural networkcontrol system in cylindrical grinding process was proposed. In this system, the initial cylindrical grinding parameters were decided by the expert system based on fuzzy neural network. Multi-feed and setting overshoot optimization methods were also adopted during the grinding process, and a human machine cooperation system (composed of human and two fuzzy - neural networks) could revise the process parameters in real-time. The experiment of the cylindrical grinding was implemented. The results showed that this control system was valid, and could greatly improve the cylindrical grinding quality and machining efficiency.
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system f...
ISBN:
(纸本)9780769540474
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system for natural language requirements document in Korean;the application of BP neural network in the predictions of suspicious space target orbits;a new object tracking algorithm based on mean shift in 4-d state space and on-line feature selection;a self-adaptive interoperable classification framework for software component;study on model of gross error identification for GPS dynamic deformation data based on wavelet analysis;research of vehicle video image recognition technology based on naive Bayesian classification model;and processing on information fusion of weak electrical signals in plants;a squared smoothing Newton method for second-order cone programming;approximate calculation about standard normal distribution with genetic programming;numerical simulation of the flow characteristic with different geometrical jet;and topology optimization for the mould platens of die casting machine based on numerical simulation.
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system f...
ISBN:
(纸本)9780769540474
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system for natural language requirements document in Korean;the application of BP neural network in the predictions of suspicious space target orbits;a new object tracking algorithm based on mean shift in 4-d state space and on-line feature selection;a self-adaptive interoperable classification framework for software component;study on model of gross error identification for GPS dynamic deformation data based on wavelet analysis;research of vehicle video image recognition technology based on naive Bayesian classification model;and processing on information fusion of weak electrical signals in plants;a squared smoothing Newton method for second-order cone programming;approximate calculation about standard normal distribution with genetic programming;numerical simulation of the flow characteristic with different geometrical jet;and topology optimization for the mould platens of die casting machine based on numerical simulation.
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system f...
ISBN:
(纸本)9780769540474
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system for natural language requirements document in Korean;the application of BP neural network in the predictions of suspicious space target orbits;a new object tracking algorithm based on mean shift in 4-d state space and on-line feature selection;a self-adaptive interoperable classification framework for software component;study on model of gross error identification for GPS dynamic deformation data based on wavelet analysis;research of vehicle video image recognition technology based on naive Bayesian classification model;and processing on information fusion of weak electrical signals in plants;a squared smoothing Newton method for second-order cone programming;approximate calculation about standard normal distribution with genetic programming;numerical simulation of the flow characteristic with different geometrical jet;and topology optimization for the mould platens of die casting machine based on numerical simulation.
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system f...
ISBN:
(纸本)9780769540474
The proceedings contain 351 papers. The topics discussed include: a multi-layer information integration framework for process operation system;research on process control of knowledge flow;anaphora resolution system for natural language requirements document in Korean;the application of BP neural network in the predictions of suspicious space target orbits;a new object tracking algorithm based on mean shift in 4-d state space and on-line feature selection;a self-adaptive interoperable classification framework for software component;study on model of gross error identification for GPS dynamic deformation data based on wavelet analysis;research of vehicle video image recognition technology based on naive Bayesian classification model;and processing on information fusion of weak electrical signals in plants;a squared smoothing Newton method for second-order cone programming;approximate calculation about standard normal distribution with genetic programming;numerical simulation of the flow characteristic with different geometrical jet;and topology optimization for the mould platens of die casting machine based on numerical simulation.
Accurate remaining useful life (RUL) prediction of machines is important for condition based maintenance (CBM) to improve the reliability and cost of maintenance. This paper proposes artificial neural network (ANN) as...
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Accurate remaining useful life (RUL) prediction of machines is important for condition based maintenance (CBM) to improve the reliability and cost of maintenance. This paper proposes artificial neural network (ANN) as a method to improve accurate RUL prediction of bearing failure. For this purpose, ANN model uses time and fitted measurements Weibull hazard rates of root mean square (RMS) and kurtosis from its present and previous points as input. Meanwhile, the normalized life percentage is selected as output. By doing that, the noise of a degradation signal from a target bearing can be minimized and the accuracy of prognosis system can be improved. The ANN RUL prediction uses FeedForward Neural network (FFNN) with Levenberg Marquardt of training algorithm. The results from the proposed method shows that better performance is achieved in order to predict bearing failure. (C) 2010 Elsevier Ltd. All rights reserved.
ANN is the core of the 2rd and 3rd generation traffic flow forecasting algorithm. In order to master the traffic flow forecasting tendency comprehensively, this paper studied every kind of hybrid artificial neural net...
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