Dipartimento d'Ingegneria

Engineering design and metallurgy - Progettazione industriale, costruzioni meccaniche e metallurgia

The research interests of the group include all tools and methods related to any stage of product design and manufacturing.
At present the activity is mainly focussed on the following areas: machine design; system dynamics; structural mechanics; computer-aided engineering (including finite elements analysis, computational fluid dynamics and multi-body simulation); fatigue mechanics; random loads fatigue; comfort evaluation; motion sickness analysis; product design; design tools and method in Engineering; engineering drawing; computer-aided design; design for life-cycle; tolerance analysis; machine vision and machine learning for industrial applications.

Dispense Prof. Claudio Braccesi

In Downloads ,
Written by Tuesday, 03 March 2015 10:10
Puoi scaricare il materiale didattico del Prof. Claudio Braccesi
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LINK PER DISPENSE








The tumour-stroma ratio (TSR) is an independent prognostic factor in a wide number of oncologic diseases. Accurate and reproducible estimation of TSR therefore plays a central role in patient stratification and follow-up. The use of features directly related to human perception makes it possible to evaluate the tissue's appearance on the basis of a set of meaningful parameters. In this work we proposed and evaluated the capability of the following five visual features to correctly discriminate epithelium from stroma in digitised tissue micro-arrays of colorectal cancer: coarseness, contrast, directionality, line-likeliness and roughness. The experiments demonstrated that the proposed approach can correctly discriminate epithelium from stroma with state-of-the-art accuracy.

Epithelium
Epithelium

Stroma
Stroma


Source:
F Bianconi, A. Álvarez-Larrán and A. Fernández, Discrimination between tumour epithelium and stroma via perception-based features, Neurocomputing, 154:119-126,2015.

ICONS 2015

In Research ,
Written by Saturday, 01 November 2014 20:18
The 10th International Conference on Systems will take place in Barcelona, Spain, from April 19 through April 24, 2015. The conference covers fundamentals on designing, implementing, testing, validating and maintaining various kinds of software and hardware systems. Several tracks are proposed to treat the topics from theory to practice, in terms of methodologies, design, implementation, testing, use cases, tools, and lessons learnt. Deadline for full paper submission: Nov 24, 2014.
Grey-level co-occurrence matrices (GLCM) have been on the scene for almost forty years and continue to be widely used today. We developed a method to improve accuracy and robustness against rotation of GLCM features for image classification. Co-occurrences are computed through digital circles as an alternative to the standard four directions. We use discrete Fourier transform normalization to convert rotation dependent features into rotation invariant ones. We tested or method on four different datasets of natural and synthetic images. Experimental results show that our approach is more accurate and robust against rotation than the standard GLCM features.

PET 1 PET 2PET 3


Source:
F Bianconi and A. Fernández, Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform, Pattern Recognition Letters, 48:34-41,2014. Special issue 'Celebrating the life and work of Maria Petrou'.
Code and data available here.

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