Automatic self-configuration of the logical network using distributed software agents

We present a system for dynamic network resource configuration in environments with bandwidth reservation. The proposed system is completely distributed and automates the mechanisms for adapting the logical network to the offered load. The system is able to manage dynamically a logical network such as a virtual path network in ATM or a label switched path network in MPLS or GMPLS. The system design and implementation is based on a multi-agent system (MAS) which make the decisions of when and how to change a logical path. Despite the lack of a centralised global network view, results show that MAS manages the network resources effectively, reducing the connection blocking probability and, therefore, achieving better utilisation of network resources. We also include details of its architecture and implementation

Automatic classification of breast density

A recent trend in digital mammography is computer-aided diagnosis systems, which are computerised tools designed to assist radiologists. Most of these systems are used for the automatic detection of abnormalities. However, recent studies have shown that their sensitivity is significantly decreased as the density of the breast increases. This dependence is method specific. In this paper we propose a new approach to the classification of mammographic images according to their breast parenchymal density. Our classification uses information extracted from segmentation results and is based on the underlying breast tissue texture. Classification performance was based on a large set of digitised mammograms. Evaluation involves different classifiers and uses a leave-one-out methodology. Results demonstrate the feasibility of estimating breast density using image processing and analysis techniques

Overview of coded light projection techniques for automatic 3D profiling

Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can be used. Coded structured light approach is one of the most widely used techniques to retrieve 3D information of an unknown surface. An overview of the existing techniques as well as a new classification of patterns for structured light sensors is presented. This kind of systems belong to the group of active triangulation method, which are based on projecting a light pattern and imaging the illuminated scene from one or more points of view. Since the patterns are coded, correspondences between points of the image(s) and points of the projected pattern can be easily found. Once correspondences are found, a classical triangulation strategy between camera(s) and projector device leads to the reconstruction of the surface. Advantages and constraints of the different patterns are discussed

Renssellaer Institute. Jim Hendler. CSCI 4964/COMM 49652 – Web Science. Assignment

Programming Assignment on Web Crawling

Renssellaer Institute. Jim Hendler. CSCI 4964/COMM 49652 – Web Science. Assignment 2

Programming Assignment on Search Engines

Assignment on Carrier Communications Simulation

Simulation of AM, QAM, complex QAM, 4QAM and 16QAM carrier communication schemes in Matlab.

Assignment on Matlab

Considers sampling, quantisation, filters and lines of best fit.

Assignment on Matlab

Considers systems of linear equations, steepest ascent optimisation and Monte Carlo simulation.

INFO2009 CW2 - Resource and Poster Assignment

specification of resource, poster and individual commentary which make up the poster group assignment

INFO2009 Genius Export Poster Assignment

All the files constituting and relating to the INFO2009 Poster Assignment entry by Genius Export

INFO2009 Quiz Resource for Group Assignment 2

Quiz resource to complement the INFO2009 Group Website resource

INFO2009 Assignment 2 Team Dennison Poster

INFO2009 Assignment 2 Team Dennison Poster

INFO2009 Group Assignment (Assignment 2)

Collection of resources and the group poster for INFO2009's Assignment 2.

Assignment on Modulation

Considers Sampling, Pulse Amplitude Modulation, Multiple Access, Quantisation, Pulse Coded Modulation, Manchester Line Coding, Amplitude Modulation, Double SideBand Suppressed Carrier Modulation, Quadrature Amplitude Modulation and M-ary Shift Keying.

Assignment on Filters, Source Coding and Channel Coding

Considers bandpass filters, Huffman coding, arithmetic coding and Hamming coding.