2011 International Conference on Communications, Computing and Control Applications (CCCA)

Current trends in High Performance Computing (HPC) platforms suggest the adoption of the distributed memory paradigm by employing multiple machines for peak floating point performances. This trend must cope with the issue of reading and writing back data on clustered file systems providing shared storage. Clustered file system are usually implemented on a Storage Area Network (SAN) equipped with a... View full abstract»

Two-wheeled balancing robot is one of interesting non-linear plant. The goal is to control the robot so that it can move with only two wheels. This paper elaborates the design and evaluation of its chassis. The chassis is constructed with Lego Mindstorm NXT and controlled by the AVR ATMega16 microcontroller. The system uses MX2125 accelerometer sensor from Parallax to evaluate the robot chassis. T... View full abstract»

The paper presents the system designed and tested by the author for supervision and control of the game machine operations and for graphical presenting the course of the game. The hardware device, connected to the START signal line allows for initiation of 8192 playings (draws) and also for reading (every time) the total-in and total-out values from the PLAY and WIN meters. Then acquired data is p... View full abstract»

Recently, research into pathological cytology were intended to put in places of artificial intelligence systems based on the development of new diagnostic technologies and the cell image segmentation. These technologies are not intended to substitute the human expert but to facilitate his task. The objective of this work is to develop a method for diagnosing cancer cervical smears using cervical -... View full abstract»

This paper aims at introducing a methodology that allows an easy implementation of IP_Cores focusing only on their functionalities rather than their interfaces and their integration in a given architecture. The proposed approach implements all the communication infrastructure needed by a component described in VHDL, to be finally inserted into a real architecture that can be implemented on FPGAs, ... View full abstract»

In this paper we look into the problem of Hidden Markov Models (HMM): the evaluation, the decoding and the learning problem. We have explored an approach to increase the effectiveness of HMM in the speech recognition field. Although hidden Markov modeling has significantly improved the performance of current speech-recognition systems, the general problem of completely fluent speaker-independent s... View full abstract»

This paper propose a robust nonlinear unknown input observer “this an extension of the Luenberger observer in unknown inputs” based on first order Taylor expansion. The observer is characterized by its simplicity in the mathematical development can also attack a large class of nonlinear systems without go through a canonical transformation. A systematic method for calculating the gai... View full abstract»

The seismic tomography can be used to constrain estimates of the Earth's velocity structure. This kind of problem is usually known to be non-linear, high-dimensional, with a complex search space which may be riddled with many local minima, and results in irregular objective functions. We investigate here the performance and the application of a radial basis function artificial neural network (RBF-... View full abstract»

In this paper a filter based on fuzzy logic is proposed to reduce impulse noise from 2D electrical resistivity imaging data. Common types of noise in electrical resistivity data are coherent noise, due to near surface inhomogeneities or electrode effects, random or impulsive noise, resulting from telluric currents, electrode polarization or measurements with low signal-to-noise ratio. The noise de... View full abstract»

Wireless sensor networks (WSNs) are, nowadays, implemented in so many fields. In order to guarantee an optimum use of this technology, we need to test different routing protocols performances. This paper evaluates ad hoc on demand distance vector protocol (AODV) and dynamic source routing protocol (DSR)'s performances for IEEE 802.15.4/ZigBee. The evaluation is based on packet loss, packet deliver... View full abstract»

Mobility has now a crucial requirement for wireless communication. Handover is one of the major tasks that are used to support continuous transmission for a mobile terminal into different radio coverage area. Optimizing the existing handover protocol requires integrating new functionalities. This work focuses on presenting and optimizing handover algorithm. We analyze handover time in wireless loc... View full abstract»

Relay feedback responses are obtained from simple SISO and MIMO systems. These responses contain much information and can be modeled in time domain. Though in SISO case it has a simple structure, in MIMO case interactions among the loops makes it difficult to model. In this paper, the generalized analytical expressions for closed loop transfer functions of interacting loops (undesired responses) o... View full abstract»

This paper proposes a new algorithm to estimate the minimal value of the parameter number defining the model developed in Reproducing Kernel Hilbert Space (RKHS) and describing non linear processes. The estimated value which corresponds to the model order is equal to the number of input / output measurements contained in a learning set used to develop the model. The proposed algorithm consists on ... View full abstract»

In the present paper, we propose to transform via a change of coordinates and control law the structure of a subclass of underactuated mechanical system in tree structure to a chain one. By this way, we allow extension of some classical control design as backstepping and feedback linearization to a class of underactuated system to which these approaches fail to be applied initially. Specially, a s... View full abstract»

In this paper the localization problem of mobile robots using bearing only measurement which is mostly used for mono vision robot, is investigated. Firstly the observability of the problem is discussed and then the position estimation of the robot using SIS particle filter is formulated. The performance of this method is discussed in comparison to the case that only range measurement is used and t... View full abstract»

This paper presents the design of a simple and effective nonlinear chattering-free control for Permanent Magnet Synchronous Motor (PMSM). This control scheme based on Higher Order Sliding Mode (HOSM) techniques is designed in order to achieve robust direct current and angular position tracking despite the presence of external disturbances and parameter uncertainties. In this work, current and posi... View full abstract»

This paper adopts the adaptive neural internal model control strategy to design a control system for complex and uncertain process with delay. Because of the shortage of the classic internal model control system the performance of the control system will slip back if there exist large errors between the real plant and the model, an adaptive mechanism based on single neuron which can tune the param... View full abstract»

This work explored several methods of measuring presence, through different visual/tactual feedback modes for a novel virtual object manipulation task, in order to evaluate the VisiTact system [1] and assess the influence of haptic, visual and augmented feedback on a conventional assembly task. The scope of the study was based on a pilot study [2], which preceded this work. The pilot study was con... View full abstract»

In this paper a high efficiency Pulse Width Modulation PWM Complementary Metal Oxide Semiconductor CMOS audio power amplifier is proposed. The original idea is based on the difference close-loop feedback technique and the difference pre-amp. Thus, we conceive a rail to rail comparator with a constant gm. This rail-to-rail PWM comparator with hysteresis architecture has been embedded in the audio p... View full abstract»

Petri nets provide a graphical and mathematical framework for modeling Discrete Events Systems (DES). An ICPN model provides a conceptually modeling framework to represent the system with non temporal constraints. It represents an extension of P-temporal Petri Nets. In this paper we propose an approach to model the regulation quality systems. The proposed approach is based on hybrid Petri Nets whi... View full abstract»

The wave iterative method is a numerical method used in the electromagnetic modeling of high frequency electronic circuits. The objective of our study is to improve the convergence speed of the wave iterative method by adding a new algorithm based on filtering techniques. This method requires a maximum number of iterations, noted “Nmax”, to achieve the convergence to the optimal valu... View full abstract»

Augmented reality has been a topic of intense research for several years for many applications. It consists of inserting a virtual object into a real scene. The virtual object must be accurately positioned in a desired place. Some measurements (calibration) are thus required and a set of correspondences between points on the calibration target and the camera images must be found. In this paper, we... View full abstract»

In this paper the time domain modelling of a transmission line coupling by an external EM fields is described. These fields generated by a nearby lightning stroke induced in an electricity transport and distribution power lines. To model this coupling, we have used the equivalent circuit taking in consideration the different physical concepts based on the theoretical Taylor's formulation. The nume... View full abstract»

In this paper, a method for designing of FIR filters with very low pass band ripples (PBR) using Z-window has been proposed. The proposed filter design method is the derivative of Kaiser Window (KW). This method produces FIR filters featuring very low PBR and better stop band attenuation (SBA) with exactly marked passband and stopband frequencies with tolerable higher filter order. View full abstract»

The problem of simultaneously estimating the state and the fault of linear time varying stochastic systems in the presence of unknown input with uncertain noise covariances is presented. The approach suggested rests on the use of the Proportional Integral Three-Stage Kalman Filter (PI-ThSKF). This technique is qualified to be robust against the noise covariance matrices uncertainty. The proposed f... View full abstract»