Compact Ultra-Wide Band Bandpass Filter Design Employing Multiple-Mode Resonator and Defected Ground Structure

For Speech Synthesis, the understanding of the physical and mathematical models of speech is essential. Hence, Speech Modeling is a large field, and is well documented in literature. The aim in this paper is to provide a background review of several speech models used in speech synthesis, specifically the Source Filter Model, Linear Prediction Model, Sinusoidal Model, and Harmonic/Noise Model. The most important models of speech signals will be described starting from the earlier ones up until the last ones, in order to highlight major improvements over these models. It would be desirable a parametric model of speech, that is relatively simple, flexible, high quality, and robust in re-synthesis. Emphasis will be given in Harmonic / Noise Model, since it seems to be more promising and robust model of speech

A Tutorial on Speech Synthesis Models

For Speech Synthesis, the understanding of the physical and mathematical models of speech is essential. Hence, Speech Modeling is a large field, and is well documented in literature. The aim in this paper is to provide a background review of several speech models used in speech synthesis, specifically the Source Filter Model, Linear Prediction Model, Sinusoidal Model, and Harmonic/Noise Model. The most important models of speech signals will be described starting from the earlier ones up until the last ones, in order to highlight major improvements over these models. It would be desirable a parametric model of speech, that is relatively simple, flexible, high quality, and robust in re-synthesis. Emphasis will be given in Harmonic / Noise Model, since it seems to be more promising and robust model of speech. (C) 2015 The Authors. Published by Elsevier B.V

Algorithmic processing to aid in leukemia detection

Background: I present our medical context with some basic concepts in order to understand the results of our work, and then I begin the explanation of mathematical morphology. I will conclude by the description of algorithmic processing propose in this paper. Cancers, including leukemia and lymphoma, can cause uncontrolled growth of an abnormal type of blood cell in the bone marrow, resulting in a greatly increased risk for infection and or serious bleeding. Methods: We present detailed steps of our proposed systems, to obtain a final result that shows the detection of abnormal cells. It typically starts with a median filter pre-processing step and then applies different morphologic operator, which allows us to segment the original image and detect cancerous cells. The basic idea behind all the operators in the mathematical morphology is to compare the set of objects to analyze another object of known form, which is called a structuring element. The structuring element is a geometric figure, simple to form, known or arbitrary, and can be a circle, segment, square, or triangle. Results: We show the different results obtained after testing carried out in algorithmic processing using MATLAB: To ameliorate the visualization of the abnormal blood cells, we have applied the elements basis morphological operations in a different way. We have performed an opening by reconstruction and a closing by reconstruction. The obtained result show that we have obtained an efficient detection of the targeted objects (abnormal blood cells or leukemia). Conclusion: In this paper, we have utilized the operators of the mathematical morphology with the aim to detect abnormal cells for diagnostic aid and transmission of accurate and precise clinical information, which helps specialists in medicine (hematologists) to distinguish abnormal cells or cancerous and to follow the evolution of leukemia. The algorithmic processing presented in this article has been able to perform the task of detection of cancerous cells with success; it has produced remarkable and satisfactory results. We think of the future concept as a system of aid for diagnosis from microelectronics integration to the base of reconfigurable technologies applied to cells for the goal of quantification of the cancer region

Contribution a l'etude des algorythmes d'optimisation en analyse des donnees

SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Contribution à l'étude des algorithmes d'optimisation en analyse des données

Ce travail est compose de deux parties. La première concerne l'étude des méthodes d'optimisation convexe à la résolution numérique des problèmes d'optimisation en analyse des données (problème de régression isotone et celui de régression concave). Selon différentes approches et via la théorie de la dualité, nous avons proposé trois méthodes pour résoudre ces problèmes. 1) méthode de l'inverse partiel. 2) méthode du gradient conjugue. 3) méthode de pivotage complémentaire de Lemke. Des résultats numériques sont présentés. Dans la seconde partie, nous proposons une étude synthétique de toutes les méthode de projection dont on dispose actuellement. Nous avons établi les relations qui les lient aux méthodes du type sous-gradient

Classification par la méthode un plus proche voisin (1-PPV)

National audienc

Un système de vérification de signature manuscrite en ligne basé sur la décomposition modale empirique

La signature manuscrite est une modalité biométrique utilisée pour l’identification d' une personne. Ce travail s'inscrit dans le cadre de l’élaboration d'un système de vérification de signatures manuscrites en ligne. Nous modélisons la signature manuscrite par une approche analytique basée sur la décomposition modale empirique (EMD). Le système proposé est muni d'un module d’apprentissage et d'une base de signatures. Le protocole d'évaluation mis en oeuvre montre l'intérêt de la méthode adoptée et permet d'obtenir un taux de reconnaissance allant jusqu'à 98%, avec un taux de fausse acceptation(FAR) de 3.33%, un taux de faux rejet (FRR) de 4,67% et un taux d'erreur égal (EER) à 1,83%.Mot clés: signatures en ligne, vérification, biométrie, approche analytique. Online handwritten signature verification system based on the empirical mode decompositionThe handwritten signature is a biometric method used to verify the identity of a person. This work deals with an online handwritten signature verification system. We model the handwritten signature by an analytical approach based on the Empirical Mode Decomposition (EMD). The organized system is provided with a training module and a base of signatures. The implemented evaluation protocol points out the interest of the adopted method and allows obtaining a recognition rate going up to 98%, with a false acceptance rate (FAR) of 3.33%, a false rejection rate of 4.67 % and an equal error rate (EER) of 1.83 %.Keywords: online signature, verification, biometrics, analytical approach

Segmentation by an Improved Mathematical Morphology Approach

Current researches in medical diagnosis, chemotherapy, surgery and medical therapy need, use bio-images to detect diseases. Research objective is to increase the recognition rate of abnormal blood cells. For that, we have employed some morphological operators. We have developed an algorithmic processing which essentially focuses on the detection, the description, and characterization of abnormal objects. The proposed approach facilitates the interpretation and the pathologies diagnostic of the abnormal blood cells. Experimental results which are adopted by the proposed method are very satisfactory for cancer cells detection

Finger vein biometric scanner design using Raspberry Pi

International audienceFinger vein biometric systems gained a lot of attention in recent years due to the increasing demand for high-security systems. The biometric device captured the human finger vein image and used it for security such as authentication, verification and identification. Most of the existing finger vein capturing devices are not suitable for any research development because of their private verification software. For that reason, this paper focuses on designing and developing a finger vein biometric system based on an Arduino and Raspberry Pi board. The proposed finger vein device is based on near-infrared light (NIR). The Arduino microcontroller is used to automatically control the brightness and determine the impact of NIR lighting on the captured images Raspberry Pi board commanded in all external peripherals of the system. The effectiveness of the proposed design has been evaluated using objective image quality assessment (IQA) metrics, i.e., MSE, PSNR, IQI, AD, NK, SC, MD, LMSE and NAE. Experimental results improve high performance with an MSE increase of 61.39% and an important PSNR reaching 33.73% compared with the existing state-of-the-art designs