https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

Most of the signal processing that we will study in this course involves local operations on a signal, namely transforming the signal by applying linear combinations of values in the neighborhood of each sample point. You are familiar with such operations from Calculus, namely, taking derivatives and you are also familiar with this from optics namely blurring a signal. We will be looking at sampled signals only. Let's start with a few basic examples. Local difference Suppose we have a 1D image and we take the local difference of intensities, DI(x) = 1 2 (I(x + 1) − I(x − 1)) which give a discrete approximation to a partial derivative. (We compute this for each x in the image.) What is the effect of such a transformation? One key idea is that such a derivative would be useful for marking positions where the intensity changes. Such a change is called an edge. It is important to detect edges in images because they often mark locations at which object properties change. These can include changes in illumination along a surface due to a shadow boundary, or a material (pigment) change, or a change in depth as when one object ends and another begins. The computational problem of finding intensity edges in images is called edge detection. We could look for positions at which DI(x) has a large negative or positive value. Large positive values indicate an edge that goes from low to high intensity, and large negative values indicate an edge that goes from high to low intensity. Example Suppose the image consists of a single (slightly sloped) edge:

http://ieeexplore.ieee.org/iel5/5/31307/01456462.pdf

Linear systems

This chapter introduces the subject of statistical pattern recognition (SPR). It starts by considering how features are defined and emphasizes that the nearest neighbor algorithm achieves error rates comparable with those of an ideal Bayes’ classifier. The concepts of an optimal number of features, representativeness of the training data, and the need to avoid overfitting to the training data are stressed. The chapter shows that methods such as the support vector machine and artificial neural networks are subject to these same training limitations, although each has its advantages. For neural networks, the multilayer perceptron architecture and back-propagation algorithm are described. The chapter distinguishes between supervised and unsupervised learning, demonstrating the advantages of the latter and showing how methods such as clustering and principal components analysis fit into the SPR framework. The chapter also defines the receiver operating characteristic, which allows an optimum balance between false positives and false negatives to be achieved.

Statistical Pattern Recognition

Vehicular ad hoc network (VANET) is an emerging new technology integrating ad hoc network, wireless LAN (WLAN) and cellular technology to achieve intelligent inter-vehicle communications and improve road traffic safety and efficiency. VANETs are distinguished from other kinds of ad hoc networks by their hybrid network architectures, node movement characteristics, and new application scenarios. Therefore, VANETs pose many unique networking research challenges, and the design of an efficient routing protocol for VANETs is very crucial. In this article, we discuss the research challenge of routing in VANETs and survey recent routing protocols and related mobility models for VANETs.

/pdf/routing-in-vehicular-ad-hoc-networks-a-survey-2fwcriwix4.pdf

Routing in vehicular ad hoc networks: A survey

Classical Sets and Fuzzy Sets.- Classical and Fuzzy Relations.- Membership Functions.- Defuzzification.- Fuzzy Rule-Based System.- Fuzzy Decision Making.- Applications of Fuzzy Logic.- Fuzzy Logic Projects with Matlab.

Introduction to Fuzzy Logic using MATLAB

A new low profile antenna comprised of a PIFA and an Artificial Magnetic Conductor (AMC) are presented. The PIFA antenna is placed at the edge of the AMC structure for bandwidth improvement. Use of a square-ring elementary element AMC without via is shown to maintain the PIFAs radiation efficiency with a low profile. The chosen AMC exhibits the required zero phase reflection coefficient for normally incident waves. Results suggest that additional directivity can be achieved for the combined PIFA/AMC system.

A low profile PIFA antenna with a via-less square-ring artificial magnetic conductor at 5.8GHz

Distributed Simulation of a Fossil Fuel Power Plant Using Modular Modeling System (MMS)

This paper presents simulated and measured results of a study examining the effects of metallic spectacles on the specific absorption rate (SAR) inside a modified specific anthropomorphic mannequin (SAM) head when using various RF sources. We consider dipole sources resonating at 900 MHz and 1800 MHz as well as three communications enabled PDAs operating in the GSM900 band.

/pdf/effects-of-metallic-spectacles-on-sar-when-using-7m5bkrvt15.pdf

Effects of metallic spectacles on SAR when using communications enabled PDAs in front of the face

This paper evaluates the suitability of existing 2-D interpolation techniques to estimate RF power density levels within an automobile manufacturing plant in the UK This analysis is based on a measurement campaign carried out at five locations within the plant Using widely accepted interpolation techniques, a power density grid that provides an estimate of power density distribution for the plant can be created The interpolation techniques evaluated are: Inverse distance weighting, Kriging and Spline The analytical results showed that the Kriging technique was more suitable for estimating power density across the entire band (02 GHz – 3 GHz) Using the power density grid obtained, an energy profile for a pallet traveling in a predefined production loop was estimated As a result, it becomes essential to carefully select the estimation technique to adopt, particularly when the measurement dispersion points are sparse

Robert M. Edwards

Papers

A low profile PIFA antenna with a via-less square-ring artificial magnetic conductor at 5.8GHz

Distributed Simulation of a Fossil Fuel Power Plant Using Modular Modeling System (MMS)

Effects of metallic spectacles on SAR when using communications enabled PDAs in front of the face

Evaluating 2-D grid interpolation techniques for predicting ambient RF power density in automobile factories

Delay spread emulation in machine workshops with fractals for wireless communication system planning