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HMM-based modelling of roadside-to-vehicle WLAN communications

HMM-based modelling of roadside-to-vehicle WLAN communicatio...

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2010 7th International Symposium on Communication systems, Networks and Digital Signal Processing, CSNDSP 2010

作者： Hasan, Syed Faraz Siddique, Nazmul H. Chakraborty, Shyam De, Swades School of Computing and Intelligent Systems Ulster University United Kingdom Department of Electrical Engineering IIT Delhi India

ISBN: (纸本)9781861353696

Roadside-to-vehicle communications has recently gained significant research attention. The idea is to exploit opportunistically encountered public WLAN APs from vehicles moving on their normal routes. Different aspects of this challenging communication scenario has been explored in several previous works, however, nothing notable has been done on mathematically modelling this kind of connection. In this article, we characterize a typical roadside-to-vehicle connection using Hidden Markov Models after showing that previously known models are not applicable for vehicular environments. Such a model can help analyze the performance of WLANs in delivering network services to mobile nodes travelling at vehicular speeds. We base our model on the data collected from the drive runs conducted in a certain area of the city. Index Terms-802.11 WLANs, Baum-Welch Algorithm, Hidden Markov Model, Roadside-Vehicle Communication. Abstract-Roadside-to-vehicle communications has recently gained significant research attention. The idea is to exploit opportunistically encountered public WLAN APs from vehicles moving on their normal routes. Different aspects of this challenging communication scenario has been explored in several previous works, however, nothing notable has been done on mathematically modelling this kind of connection. In this article, we characterize a typical roadside-to-vehicle connection using Hidden Markov Models after showing that previously known models are not applicable for vehicular environments. Such a model can help analyze the performance of WLANs in delivering network services to mobile nodes travelling at vehicular speeds. We base our model on the data collected from the drive runs conducted in a certain area of the city. © 2010 IEEE.

关键词： Roadsides

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On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition

On utilizing self-organizing fuzzy neural networks for finan...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Coyle, Damien Prasad, Girijesh McGinnity, T. Martin School of Computing and Intelligent Systems Faculty of Computing and Engineering University of Ulster Northland Road Derry BT48 7JL United Kingdom

ISBN: (纸本)9781424469178

In this work the self-organizing fuzzy neural network (SOFNN) is employed to create an accurate and easily calibrated approach to multiple-step-ahead prediction for the NN5 forecasting competition 2008. The competition dataset consists of 111 daily empirical time series of cash-machine withdrawals. The objective for the competition was to forecast future transactions up to 56 days ahead with the highest prediction accuracy using a single methodology. The SOFNN is a highly efficient and accurate algorithm for time series-prediction which learns from data incrementally and can autonomously adapt its structure in the learning process to cope with drifts in the data dynamics. It can also modify its architecture autonomously to suit different prediction horizons, embedding dimensions and time lags. Standard neural networks(NNs) and autoregressive(AR) models are employed as benchmarks for comparison. It is shown through a statistical analysis of the results, that the SOFNN significantly outperforms the NN and AR methods. © 2010 IEEE.

关键词： Forecasting

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Prosthesis grasp reflex via peripheral nerve control An in vitro study

Prosthesis grasp reflex via peripheral nerve control An in v...

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IEEE International Conference on Cybernetic intelligent systems

作者： Valderrama-Gonzalez, German D. Gasson, Mark N. Warwick, Kevin Whalley, Benjamin J. School of Computing and Intelligent Systems University of Ulster Derry United Kingdom School of Systems Engineering University of Reading Reading United Kingdom School of Pharmacy University of Reading Reading United Kingdom

ISBN: (纸本)9781424490233

Here we present an economical and versatile platform for developing motor control and sensory feedback of a prosthetic hand via in vitro mammalian peripheral nerve activity. In this study, closed-loop control of the grasp function of the prosthetic hand was achieved by stimulation of a peripheral nerve preparation in response to slip sensor data from a robotic hand, forming a rudimentary reflex action. The single degree of freedom grasp was triggered by single unit activity from motor and sensory fibers as a result of stimulation. The work presented here provides a novel, reproducible, economic, and robust platform for experimenting with neural control of prosthetic devices before attempting in vivo implementation. © 2010 IEEE.

关键词： Sensory feedback

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A genetic approach to optimize the coverage performance of multiple random path-planning robots

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12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009

作者： Habib, Ahsan Alam, M.S. Aldebrez, F.M. Siddique, N.H. Dept. of Applied Physics Electronics and Communication Engineering University of Dhaka Bangladesh Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom School of Computing and Intelligent Systems University of Ulster United Kingdom

ISBN: (纸本)9814291269

This paper presents a new approach to multi-agent coverage path planning problem. This algorithm enables multiple robots with limited sensor capabilities to perform coverage efficiently over a shared territory. Each robot is assigned with an exclusive route, which enables it to carry out its cleaning process simultaneously with minimal path overlapping. The objectives of this work are (i) Identify a path for each robot such that each robot is responsible for covering a different region. In this way, there will be minimal overlap between coverage of the robots, (ii) the methods and procedures must be applicable to a group of simple mobile robots with very few sensors to guarantee their industrial interest.

关键词： Motion planning

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On utilizing self-organizing fuzzy neural networks for financial forecasts in the NN5 forecasting competition

On utilizing self-organizing fuzzy neural networks for finan...

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International Joint Conference on Neural Networks (IJCNN)

作者： Damien Coyle Girijesh Prasad T. Martin McGinnity Intelligent Systems Research Center School of Computing and Intelligent Systems Faculty of Computing and Engineering University of Ulster Londonderr UK

关键词： Artificial neural networks Computer architecture Tuning Neurons

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Predictive-spectral-spatial preprocessing for a multiclass brain-computer interface

Predictive-spectral-spatial preprocessing for a multiclass b...

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International Joint Conference on Neural Networks (IJCNN)

作者： Damien Coyle Abdul Satti T. M. McGinnity Intelligent Systems Research Center School of Computing and Intelligent Systems Faculty of Computing and Engineering University of Ulster Londonderr UK

Recent work has shown that combining prediction based preprocessing based on neural-time-series-prediction-preprocessing (NTSPP) along with spectral filtering (SF) and common-spatial patterns (CSP) can significantly improve the performance of a motor imagery based brain-computer interface (BCI) involving two classes. This paper illustrates how these performance improvements can be extended to a 4 class motor imagery BCI with between 2 and 22 channels. The results show that this combination of preprocessing techniques can significantly outperform any of methods operating independently and that NTSPP can reduce the number of electrodes required based on a comparison of results from 2, 3 and multichannel data.

关键词： Feature extraction Artificial neural networks Heating Brain models

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Coarse scale feature extraction using the spiral architecture structure

Coarse scale feature extraction using the spiral architectur...

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International Conference on Pattern Recognition

作者： Coleman, Sonya Scotney, Bryan Gardiner, Bryan School of Computing and Intelligent Systems University of Ulster Magee BT48 7JL United Kingdom School of Computing and Information Engineering University of Ulster Coleraine BT52 1SA United Kingdom

ISBN: (纸本)9780769541099

The Spiral Architecture has been developed as a fast way of indexing a hexagonal pixel-based image. In combination with spiral addition and spiral multiplication, methods have been developed for hexagonal image processing operations such as translation and rotation. Using the Spiral Architecture as the basis for our operator structure, we present a general approach to the computation of adaptive coarse scale Laplacian operators for use on hexagonal pixel-based images. We evaluate the proposed operators using simulated hexagonal images and demonstrate improved performance when compared with rectangular Laplacian operators such as Marr-Hildreth. © 2010 IEEE.

关键词： Pixels

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Modular fuzzy control with input shaping technique for transformation of two-wheeled wheelchair to four-wheeled mode

Modular fuzzy control with input shaping technique for trans...

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2010 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2010

作者： Ahmad, Salmiah Tokhi, M.O. Siddique, N.H. Kuala Lumpur Malaysia Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom School of Computing and Intelligent System University of Ulster Northern Ireland United Kingdom

ISBN: (纸本)9781424476473

This paper presents a mechanism for wheelchair transformation from two-wheeled upright position to four-wheeled position using a modular fuzzy logic control (MFC) approach. A wheelchair model that can be operated in four-wheeled and two-wheeled modes has been developed within the Visual Nastran environment and integrated with Simulink for control purposes. A multi-input multi-output modular fuzzy logic control configuration is designed and implemented on the wheelchair model. To improve the system performance, an input shaping technique is augmented inside the feedback loop. It is shown that the shaped signals have improved the system performance with promising results. ©2010 IEEE.

关键词： Fuzzy control

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Hedge Detection and Scope Finding by Sequence Labeling with Normalized Feature Selection 14

Hedge Detection and Scope Finding by Sequence Labeling with ...

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14th Conference on Computational Natural Language Learning, CoNLL 2010

作者： Zhang, Shaodian Zhao, Hai Zhou, Guodong Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Dept of Computer Science and Engineering Shanghai Jiao Tong University China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University China School of Computer Science and Technology Soochow University China

ISBN: (纸本)1932432841

This paper presents a system which adopts a standard sequence labeling technique for hedge detection and scope finding. For the first task, hedge detection, we formulate it as a hedge labeling problem, while for the second task, we use a two-step labeling strategy, one for hedge cue labeling and the other for scope finding. In particular, various kinds of syntactic features are systemically exploited and effectively integrated using a large-scale normalized feature selection method. Evaluation on the CoNLL-2010 shared task shows that our system achieves stable and competitive results for all the closed tasks. Furthermore, post-deadline experiments show that the performance can be much further improved using a sufficient feature selection. © 2010 Association for Computational Linguistics

关键词： Wooden fences

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Adaptive tri-direction edge detection operators based on the spiral architecture

Adaptive tri-direction edge detection operators based on the...

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IEEE International Conference on Image Processing

作者： Sonya Coleman Bryan Gardiner Bryan Scotney School of Computing and Intelligent Systems University of Ulster Magee UK School of Computing and Information Engineering University of Ulster Coleraine UK

We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.

关键词： Spirals Pixel Image edge detection Computer architecture Finite element methods Image representation Performance evaluation

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