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An optimization system based on the multi-objective evolutionary technique NSGA-II is presented to automatically size unity-gain cells, namely: voltage and current followers, and voltage and current mirrors. These unity-gain cells are optimized in three performance objectives: gain, bandwidth and offset. The proposed optimization system uses HSPICE as circuit evaluator by including input and output...
Data compression is always advisable when it comes to handling and processing information quickly and efficiently. There are two main problems that need to be solved when it comes to handling data; store information in smaller spaces and processes it in the shortest possible time. When it comes to face recognition tasks, there is always the need to construct large image repositories from people. Images...
This work presents an infant cry automatic recognizer development, with the objective of classifying two kinds of infant cries, normal and pathological, from recently born babies. Extraction of acoustic features is used such as MFCC (Mel Frequency Cepstral Coefficients), obtained from Infant Cry Units sound waves, and a genetic feature selection system combined with a feed forward input delay neural...
The present paper proposes the use of a basic element for the infant cry analysis: the cry unit. In order to display the real possibility of the cry unit for the detection of pathological features (based on Hypoxia) in newborns, a novel combined treatment of the cry signal was implemented using an evolutionary-neural system. For that purpose the cry signal was segmented into cry units, the MFCC were...
In this paper, we present an author tool to facilitate the creation of adaptive learning material to be used in handheld devices. The adaptive material uses a pedagogical approach based on multiple intelligence and fuzzy logic theory. Our main contribution is a new author tool which allows instructors to systematically build tutoring systems for groups of mobile learners; everything under a graphic...
An automatic method is proposed to design CMOS compatible voltage followers (VFs) by applying genetic algorithms. It is described how an automatic system can deals with huge search spaces to design practical VFs by performing evolutionary operations from nullator-based descriptions. The proposed method consists of three main steps: generation of the small-signal circuitry, addition of biases, and...
The present work presents the experiments performed with two kinds of ensembles to classify infant cry. The ones selected for testing during the presented experiments are: a boosting ensemble of artificial neural networks and a boosting ensemble of support vector machines. The design and implementation of the ensembles as well as the experiments and some of the results are shown. The experiments are...
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