Search results for "Computer aid"
showing 10 items of 105 documents
Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering
2014
Evolutionary Algorithms (EAs) are one of advanced intelligent systems and they occupied an important position in the class of optimizers for solving single-objective/reverse/inverse design and multi-objective/multi physics design problems in engineering. The chapter hybridizes the Genetic Algorithms (GAs) based computational intelligent system (CIS) with the concept of Nash-Equilibrium as an optimization pre-conditioner to accelerate the optimization procedure. Hybridized GAs and simple GAs are validated through solving five complex single-objective and multi-objective mathematical design problems. For real-world design problems, the hybridized GAs (Hybrid Intelligent System) and the origin…
Robotic path planning for non-destructive testing – A custom MATLAB toolbox approach
2016
AbstractThe requirement to increase inspection speeds for non-destructive testing (NDT) of composite aerospace parts is common to many manufacturers. The prevalence of complex curved surfaces in the industry provides motivation for the use of 6 axis robots in these inspections. The purpose of this paper is to present work undertaken for the development of a KUKA robot manipulator based automated NDT system. A new software solution is presented that enables flexible trajectory planning to be accomplished for the inspection of complex curved surfaces often encountered in engineering production. The techniques and issues associated with conventional manual inspection techniques and automated s…
Context metadata to adapt Ambient Learning Environments
2008
Ambient learning and knowledge environments (ALKE) are a promising concept for new methods of learning and in particular adapted, personalized learning environments. However, currently very few approaches specify concepts for adaptation. We present a metadata approach to identify and (automatically) derive the context of learning environments as a basis for adaptation. The concept has been partially validated in a scenario of ldquoSpontaneous Group Learningrdquo in Higher Education.
Pharmacokinetics in Drug Discovery
2007
The aim of this current review is to summarize the present status of pharmacokinetics in Drug Discovery. The review is structured into four sections. The first section is a general overview of what we understand by pharmacokinetics and the different LADMET aspects: Liberation, Absorption, Distribution, Metabolism, Excretion, and Toxicity. The second section highlights the different computational or in silico approaches to estimate/predict one or several aspects of the pharmacokinetic profile of a discovery lead compound. The third section discusses the most commonly used in vitro methodologies. The fourth and last section examines the various approaches employed towards the pharmacokinetic …
Non-stochastic quadratic fingerprints and LDA-based QSAR models in hit and lead generation through virtual screening: theoretical and experimental as…
2005
In order to explore the ability of non-stochastic quadratic indices to encode chemical information in antimalarials, four quantitative models for the discrimination of compounds having this property were generated and statistically compared. Accuracies of 90.2% and 83.3% for the training and test sets, respectively, were observed for the best of all the models, which included non-stochastic quadratic fingerprints weighted with Pauling electronegativities. With a comparative purpose and as a second validation experiment, an exercise of virtual screening of 65 already-reported antimalarials was carried out. Finally, 17 new compounds were classified as either active/inactive ones and experimen…
Topological Approach to Drug Design
1995
In this paper we demonstrated that by an adequate combination of different topological indices it is possible to select and design new active compounds in different therapeutical scopes, with a very high efficiency level. Particularly successful in the search of new "lead drugs", the results show the surprising ability of the topological methods to describe molecular structures.
Spim-Cache: A Pedagogical Tool for Teaching Cache Memories Through Code-Based Exercises
2007
Cache memories represent a core topic in all computer organization and architecture courses offered at universities around the world. As a consequence, educational proposals and textbooks address important efforts to this topic. A valuable pedagogical help when studying cache memories is to perform exercises based on simple algorithms, which allow the identification of cache accesses, for instance, a program accessing the elements of an array. These exercises, referred to as code-based exercises, have a good acceptance among instructors of computer organization courses. Nevertheless, no tool (e.g., simulator) has been developed to be used in undergraduate courses working with this kind of e…
Diversification of adult education with the help of video lectures
2010
For some years now, adult education and working while studying have had an important role in the modern society. Mature-age study brings with it some special features, such as time use limitations, which must be taken into account when creating educational programmes for the students concerned. Above all, flexibility must become a major feature of participation in education. In relation to the Master Studies in Mathematical Information Technology at Kokkola University Consortium, the aim for some years now has been to increase that flexibility by diversifying traditional lecture teaching with the help of real-time and on-demand video lectures. With the help of the results presented in this …
Massive Lesions Classification using Features based on Morphological Lesion Differences
2007
Purpose of this work is the development of an automatic classification system which could be useful for radiologists in the investigation of breast cancer. The software has been designed in the framework of the MAGIC-5 collaboration. In the automatic classification system the suspicious regions with high probability to include a lesion are extracted from the image as regions of interest (ROIs). Each ROI is characterized by some features based on morphological lesion differences. Some classifiers as a Feed Forward Neural Network, a K-Nearest Neighbours and a Support Vector Machine are used to distinguish the pathological records from the healthy ones. The results obtained in terms of sensiti…
Multiresolution based on weighted averages of the hat function I: Linear reconstruction techniques
1998
In this paper we analyze a particular example of the general framework developed in [A. Harten, {\it SIAM J. Numer. Anal}., 33 (1996) pp. 1205--1256], the case in which the discretization operator is obtained by taking local averages with respect to the hat function. We consider a class of reconstruction procedures which are appropriate for this multiresolution setting and describe the associated prediction operators that allow us to climb up the ladder from coarse to finer levels of resolution. In Part I we use data-independent (linear) reconstruction techniques as our approximation tool. We show how to obtain multiresolution transforms in bounded domains and analyze their stability with r…