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The organizing committee welcomes you to the 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (IEEE CIMSA 2010), held in Taranto, Italy, on September 6–8, 2010. This meeting, co-sponsored by the IEEE Computational Intelligence Society and the IEEE Instrumentation and Measurement Society, is the eighth of a successful series that extends its...
We investigate buried depleted uranium detection and classification using data collected with short sensor dwell time (i.e., less than or equal to 1s). Under this circumstance, the gamma spectroscope collected by a NaI detector can be sparse and random, and may be severely affected by energy counts from the background. Several spectral transformations using binned energy windows can help alleviate...
Researchers have been continuously trying to improve human performance with respect to Health, Safety and Environment (HSE) and ergonomics (hence HSEE). Performance measurement and assessment of operators are fundamental to management planning and control activities, and accordingly, have received considerable attention by both management practitioners and theorists. There has been several efficiency...
In this paper a method for time series prediction of chaotic systems is developed in order to increase the time horizon of prediction. Also it is assumed that the type of chaotic time series is known. In this investigation, the parameters of the chaotic system are estimated by minimizing the summation of absolute value of errors using Genetic Algorithm (GA). The results show that it is impossible...
Biometric systems identify individuals by comparison of the individual biometric traits, such as the fingerprint patterns. In the literature, many relevant methods are based on the localization of a reference “pivot” point of the fingerprint, called principal singular point (PSP). Most of the time, the PSP is selected from the list of the estimated singular points (SPs) that are identified by specific...
In processes of the production chain of carbide inserts, such as unloading or packaging, the conformity test of the insert type is performed manually, which causes a statistic increase of errors due to monotony and fatigue of workers and the wide variety of insert types. A machine vision system is introduced that automatically measures and inspects the chip-former geometry of inserts, the most significant...
A novel BEMD based Iris recognition system is presented. A multilayer processing for features extraction makes the system efficient. The use of geometrically described details information makes the iris signature very efficient in reducing false positive and false negatives occurrences. Preliminary results of the proposed algorithm seem to indicate BEMD can give high accuracy in iris recognition subsystems...
Bidimensional Empirical Mode Decomposition (BEMD) provides a tool for image processing for its special ability to locally separate spatial frequencies. The Intrinsic Mode Functions (IMFs) other than the first are images of lower frequency components. The coding method presented in this paper uses the BEMD process to create two sub-band images from the original image: hi and low frequency. These images...
Aim of this work is to propose a robust solution to the correspondence problem in multi-camera systems applied to video surveillance. The proposed system merges two different approaches: Self Organizing Map (SOM) and feature based corresponding analysis. The novelty of this work consists of the used approach and the ability to work without the assumption of epipolar geometry. The proposed approach...
Gliomas are the most common primary brain tumors, with a typical infiltrative growth pattern along white matter (WM) fibers. Diffusion Tensor Imaging (DTI) is sensitive to the directional diffusion of water along WM tracts, which allows the identification of subtle peritumoral glioma infiltration that are not apparent on conventional Magnetic Resonance imaging. The aim of this study was to characterize...
The goal of this study is to propose a virtual classroom tool integrated within an e-learning 2.0 architecture supported by a multi agent system with auction-based approach. The proposed architecture and related features aim to provide the teacher / tutor with functionalities for monitoring, planning courses or redesigning them if necessary. The main purpose was to design a Multi Agent System (MAS)...
In this work, an array of low-cost cross-sensitive sensors is used for discriminating the best candidate within a set of volatile organic compounds (VOCs). The challenge of our experimental setting is to deal with the problems of low selectivity, especially in normal operating conditions, so that ambiguous sensor responses (i.e. referable to more than one VOC) can be given, at least, a qualitative...
In the real world, environmental decision-making takes place in a highly interconnected environment, in which neither the decisional ramifications of a management action, nor the complexity of its impact, can be neglected. A fuzzy conflict measure is proposed in this contribution to support drought management. The proposed approach allows to detect, analyse and measure conflicts between the different...
This paper deals with the automatic classification of Power Quality (PQ) transients according to their amplitudes and frequencies, and following the geometrical pattern established via higher-order statistical measurements. The clustering is achieved thanks to the third and fourth-order features associated to the electrical anomalies, which in turn are coupled to the 50-Hz power-line. The main contribution...
There is a growing need for the automation of the IT infrastructure of enterprises. Autonomic computing provided a theoretical support for the foundation of mechanisms for self-optimization of computational resources at all the levels of the IT infrastructure of the enterprise. As the Autonomic Computing paradigm requires collecting information in regards to specific parameters based on which a decision...
This paper describes a method for monitoring the condition of reciprocating aircraft engines. In contrast to existing solutions our method is based on information from a single acceleration sensor attached onto the motor block. Model based signal processing using modal analysis and fuzzy logic in a hierarchical estimation scheme enables the possibility to observe engine health level. For each cylinder...
Multi-expert approach is a well-known paradigm to support complex decisions and several decision fusion techniques have been considered. In this field score normalization is a fundamental step to allow high performances and hence several techniques have been proposed so far. This paper addresses the problem of score normalization and presents a new technique based on Dynamic Time Warping. The experimental...
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