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[PDF] Top 20 A model based approach for state estimation for networks

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A model based approach for state estimation for networks

A model based approach for state estimation for networks

... - Finally, the Extended Kalman Filter (EKF), coded in Matlab, is selected as the data assimilation technique, as it is suitable for working with non-linear equations. In addition, it is more computationally efficient ... See full document

86

A Novel Smart Grid State Estimation Method Based on Neural Networks

A Novel Smart Grid State Estimation Method Based on Neural Networks

... efficient state estimation ...grid state estimation ...neural networks (ANNs). The proposed method which is called SE-NN (state estimation using neural network) can ... See full document

9

Improved results on \(\mathcal{H} {\infty}\) state estimation of static neural networks with interval time varying delay

Improved results on \(\mathcal{H} {\infty}\) state estimation of static neural networks with interval time varying delay

... investigated. Based on Lyapunov sta- bility theory, Wirtinger’s integral inequality, and a reciprocally convex approach, some improved sufficient conditions which guarantee the globally asymptotical stability ... See full document

16

Parallelized particle filtering for freeway traffic state tracking

Parallelized particle filtering for freeway traffic state tracking

... for state tracking (estimation) of freeway traffic ...the state estimation problem for general nonlinear systems with non-Gaussian ...subnetworks based on the topology of the ... See full document

8

A new approach for product cost estimation using data envelopment analysis   Pages 817-828
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A new approach for product cost estimation using data envelopment analysis Pages 817-828 Download PDF

... decrease in the desirable attribute of the landing gear. Fig. 3-c shows the variation of the efficiency of the equivalent DMU when only , is increased from lower value to higher values. In this case, an increase in the ... See full document

12

Kalman Filters versus Neural Networks in Battery State of Charge Estimation: A Comparative Study

Kalman Filters versus Neural Networks in Battery State of Charge Estimation: A Comparative Study

... SOC estimation methods were analyzed, compared and ...battery model or training, the actual EKF or ANN SOC estimator will not be ideal due to the variation between battery cells in their internal parameters ... See full document

12

A Model-Based Optimisation Approach for Process Synthesis of Olefins from Petroleum with Application to the Malaysian Petrochemical Industry

A Model-Based Optimisation Approach for Process Synthesis of Olefins from Petroleum with Application to the Malaysian Petrochemical Industry

... Figure 1 shows a superstructure representation of the cryogenic- and distillation-based separation section, also called the cold ends, for processing the cracked gas (from steam cracking) after compression, acid ... See full document

15

3D Human Pose Estimation from a Monocular Image Using Model Fitting in Eigenspaces

3D Human Pose Estimation from a Monocular Image Using Model Fitting in Eigenspaces

... pose estimation can be sum- marized into two approaches: learning-based and model- ...pose estimation is performed rapidly. How- ever, the estimation precision decreases when the input ... See full document

7

Functional connectivity decreases in autism in emotion, self, and face circuits identified by knowledge based enrichment analysis

Functional connectivity decreases in autism in emotion, self, and face circuits identified by knowledge based enrichment analysis

... With these new approaches, interesting results were obtained from the analyses of the resting-state fMRI data for differences between the group with autism spectrum disorder and the controls. The new findings here ... See full document

33

Model selection, estimation and forecasting in INAR(p) models: A likelihood-based Markov Chain approach

Model selection, estimation and forecasting in INAR(p) models: A likelihood-based Markov Chain approach

... considers model selection, estimation and forecasting for a class of integer autoregressive models suitable for use when analysing time series count ...and estimation may be performed by likelihood ... See full document

22

Computer Aided Diagnostic Approach for Melanoma  Diagnosis Using Neural Networks

Computer Aided Diagnostic Approach for Melanoma Diagnosis Using Neural Networks

... community approach to determine the non-linear choice boundary separation two exclusive instructions of melanoma ...neural networks are heuristically trained at diverse architectures starting from ten ... See full document

7

A Contribution for a Pragmatics-Based Approach to Concurrent Engineering Implementation

A Contribution for a Pragmatics-Based Approach to Concurrent Engineering Implementation

... Process simultaneity, or process parallelism, is one of the hallmarks of CE. However, apparently little attention has been paid to measuring it. Usually, measures of the process simultaneity/parallelism are adopted from ... See full document

12

Position Based Routing Technique: Greedy Perimeter Stateless Routing for Wireless Networks

Position Based Routing Technique: Greedy Perimeter Stateless Routing for Wireless Networks

... destination. When a packet forward by source node, it forwarded in counterclockwise direction including destination node until it again reached at the source node. According to this rule each node involved to forward ... See full document

5

A Model for the Effective Management of Order-Based Production

A Model for the Effective Management of Order-Based Production

... business networks, which are becoming a fundamental form of business in the modern ...proposed model includes such a structure and information sys- tem that enables this ...current state, a ... See full document

15

A Web Based E Tourism Portal for Plateau State Tourism Board of Nigeria

A Web Based E Tourism Portal for Plateau State Tourism Board of Nigeria

... This work has been able to develop and implement an e-tourism portal that offers information on various tourism sites through a centralized web portal for Plateau state tourism board. The proposed will increase ... See full document

6

A New Model for Enhancing Computer Based Exam Authentication in KSA

A New Model for Enhancing Computer Based Exam Authentication in KSA

... Furthermore, learning algorithms are classified into two main categories: the supervised learning and the unsupervised learning techniques. The supervised learning is simply the training mechanism of all inputs toward a ... See full document

6

Artificial Intelligence Technique for Speech Recognition Based on Neural Networks

Artificial Intelligence Technique for Speech Recognition Based on Neural Networks

... Reduce the value of artificial neural networks Neural network speech recognition scheme implies a number equal to the number of classes of recognition. Each entry gives a value to indicate the probability of ... See full document

6

A Methodology in Mobile Networks for Global Roaming

A Methodology in Mobile Networks for Global Roaming

... architecture based on the which is Location independent - user can move anywhere the world without roaming cost, so that one can maintain a lifelong PTN ... See full document

6

Rule Based Approach for Prediction of Chronic Kidney Disease: A Comparative Study

Rule Based Approach for Prediction of Chronic Kidney Disease: A Comparative Study

... rule based classifiers inorder to generate human interpretable rules for diagnosing ...rule- based approaches for comparison that have been used in the paper are JRip, CART, Conjunctive Rule, ... See full document

8

A Model for Scuffing Prediction

A Model for Scuffing Prediction

... comprehensive estimation of the friction coefficient, in order to take into account the transition from boundary to mixed and from mixed to full fluid lubrication conditions, as well as the presence of thermal ... See full document

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