867 resultados para process concentrated work
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The substitution of diesel by biodiesel meets the current scenario to increase the consumption of alternative energy sources promoting sustainable development of a country. However, the production of biodiesel concurrently generates the formation of glycerine in the process is a by-product. The main application of glycerine is in the food industry, cosmetics, soaps, pharmaceuticals, among others, but these segments are not capable of absorbing the generated volume of glycerine, whereas the total volume of the biodiesel produced about 10% correspond to glycerine. Glycerine obtained from the transesterification reaction (necessary for production of biodiesel) triglycerides and alcohol contains certain impurities such as water, salts, esters, alcohol, and residual oil, which decrease the value. Thus, the purification process or the direct use of glycerine become essential to make it competitive biodiesel production process. This work aims to evaluate the different processes of purification and the use of glycerine obtained as by-product in the production of biodiesel. The research was theoretical, based on technical articles and theses published on this subject, and from these databases was established a summary of the most important processes
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Pós-graduação em Saúde Coletiva - FMB
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Pós-graduação em Engenharia Mecânica - FEIS
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Regression testing is an important part of software maintenance, but it can also be very expensive. To reduce this expense, software testers may prioritize their test cases so that those that are more important are run earlier in the regression testing process. Previous work has shown that prioritization can improve a test suite’s rate of fault detection, but the assessment of prioritization techniques has been limited to hand-seeded faults, primarily due to the belief that such faults are more realistic than automatically generated (mutation) faults. A recent empirical study, however, suggests that mutation faults can be representative of real faults. We have therefore designed and performed a controlled experiment to assess the ability of prioritization techniques to improve the rate of fault detection techniques, measured relative to mutation faults. Our results show that prioritization can be effective relative to the faults considered, and they expose ways in which that effectiveness can vary with characteristics of faults and test suites. We also compare our results to those collected earlier with respect to the relationship between hand-seeded faults and mutation faults, and the implications this has for researchers performing empirical studies of prioritization.
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BACKGROUND: Fed-batch culture allows the cultivation of Arthrospira platensis using urea as nitrogen source. Tubular photobioreactors substantially increase cell growth, but the successful use of this cheap nitrogen source requires a knowledge of the kinetic and thermodynamic parameters of the process. This work aims at identifying the effect of two independent variables, temperature (T) and urea daily molar flow-rate (U), on cell growth, biomass composition and thermodynamic parameters involved in this photosynthetic cultivation. RESULTS: The optimal values obtained were T = 32 degrees C and U = 1.16 mmol L-1 d-1, under which the maximum cell concentration was 4186 +/- 39 mg L-1, cell productivity 541 +/- 5 mg L-1 d-1 and yield of biomass on nitrogen 14.3 +/- 0.1 mg mg-1. Applying an Arrhenius-type approach, the thermodynamic parameters of growth (?H* = 98.2 kJ mol-1; ?S* = - 0.020 kJ mol-1 K-1; ?G* = 104.1 kJ mol-1) and its thermal inactivation (Delta H-D(0) =168.9 kJ mol-1; Delta S-D(0) = 0.459 kJ mol-1 K-1; Delta G(D)(0) =31.98 kJ mol-1) were estimated. CONCLUSIONS: To maximize cell growth T and U were simultaneously optimized. Biomass lipid content was not influenced by the experimental conditions, while protein content was dependent on both independent variables. Using urea as nitrogen source prevented the inhibitory effect already observed with ammonium salts. Copyright (c) 2012 Society of Chemical Industry
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This work presents hybrid Constraint Programming (CP) and metaheuristic methods for the solution of Large Scale Optimization Problems; it aims at integrating concepts and mechanisms from the metaheuristic methods to a CP-based tree search environment in order to exploit the advantages of both approaches. The modeling and solution of large scale combinatorial optimization problem is a topic which has arisen the interest of many researcherers in the Operations Research field; combinatorial optimization problems are widely spread in everyday life and the need of solving difficult problems is more and more urgent. Metaheuristic techniques have been developed in the last decades to effectively handle the approximate solution of combinatorial optimization problems; we will examine metaheuristics in detail, focusing on the common aspects of different techniques. Each metaheuristic approach possesses its own peculiarities in designing and guiding the solution process; our work aims at recognizing components which can be extracted from metaheuristic methods and re-used in different contexts. In particular we focus on the possibility of porting metaheuristic elements to constraint programming based environments, as constraint programming is able to deal with feasibility issues of optimization problems in a very effective manner. Moreover, CP offers a general paradigm which allows to easily model any type of problem and solve it with a problem-independent framework, differently from local search and metaheuristic methods which are highly problem specific. In this work we describe the implementation of the Local Branching framework, originally developed for Mixed Integer Programming, in a CP-based environment. Constraint programming specific features are used to ease the search process, still mantaining an absolute generality of the approach. We also propose a search strategy called Sliced Neighborhood Search, SNS, that iteratively explores slices of large neighborhoods of an incumbent solution by performing CP-based tree search and encloses concepts from metaheuristic techniques. SNS can be used as a stand alone search strategy, but it can alternatively be embedded in existing strategies as intensification and diversification mechanism. In particular we show its integration within the CP-based local branching. We provide an extensive experimental evaluation of the proposed approaches on instances of the Asymmetric Traveling Salesman Problem and of the Asymmetric Traveling Salesman Problem with Time Windows. The proposed approaches achieve good results on practical size problem, thus demonstrating the benefit of integrating metaheuristic concepts in CP-based frameworks.
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Qatar boomt. Da es hierzu keine ganzheitlichen Forschungsarbeiten gibt, werden in dieser Arbeit die neuesten Entwicklungen und Planungen mit hoher Aktualität und Praxisrelevanz erstmals erfasst und analysiert. Der Autor führt Informationssplitter von internationalen Organisationen und eigene Recherchen in ein ganzheitliches Bild zusammen. Qatar ist sich bewusst, dass Wachstum endlich sein kann. Welche Möglichkeiten hat das kleine Qatar von der Globalisierung zu profitieren und für sich Vorteile für die Zukunft nach dem Öl zu generieren? Der Fokus der Arbeit liegt auf den ökonomische und ökologischen Stellschrauben der Transformation unter wirtschaftsgeographischen, soziodemographischen und strategischen Gesichtspunkten mit lokalen, regionalen und internationalen Betrachtungsweisen in den Themenfeldern (Welt-) Wirtschaft, Bildung, Infrastruktur und Umwelt. Ausgewählte Faktorungleichgewichte werden in Bezug auf Aussenwirtschaft und Binnenwirtschaft erläutert sowie die Nutzung von korankonformen Finanzierungsinstrumenten und Direktinvestitionen von und in Qatar.rnrnKeywords: Qatar / Katar / Peak-Oil / Emirat / FDI / Qatarisches Modell / Masterplan / Wohlfahrtsmehrung / Disparität / Nachhaltigkeit / Islamic Banking / Agglomeration / Akkumulation / Globalisierung / Arabische Halbinsel / Persischer Golf / Faktor- Gleichgewichte / Doha / Aluminium / LNG / Gas / best practicern
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This dissertation was conducted within the project Language Toolkit, which has the aim of integrating the worlds of work and university. In particular, it consists of the translation into English of documents commissioned by the Italian company TR Turoni and its primary purpose is to demonstrate that, in the field of translation for companies, the existing translation support tools and software can optimise and facilitate the translation process. The work consists of five chapters. The first introduces the Language Toolkit project, the TR Turoni company and its relationship with the CERMAC export consortium. After outlining the current state of company internationalisation, the importance of professional translators in enhancing the competitiveness of companies that enter new international markets is highlighted. Chapter two provides an overview of the texts to be translated, focusing on the textual function and typology and on the addressees. After that, manual translation and the main software developed specifically for translators are described, with a focus on computer-assisted translation (CAT) and machine translation (MT). The third chapter presents the target texts and the corresponding translations. Chapter four is dedicated to the analysis of the translation process. The first two texts were translated manually, with the support of a purpose-built specialized corpus. The following two documents were translated with the software SDL Trados Studio 2011 and its applications. The last texts were submitted to the Google Translate service and to a process of pre and post-editing. Finally, in chapter five conclusions are drawn about the main limits and potentialities of the different translations techniques. In addition to this, the importance of an integrated use of all available instruments is underlined.
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Over the past twenty years, new technologies have required an increasing use of mathematical models in order to understand better the structural behavior: finite element method is the one mostly used. However, the reliability of this method applied to different situations has to be tried each time. Since it is not possible to completely model the reality, different hypothesis must be done: these are the main problems of FE modeling. The following work deals with this problem and tries to figure out a way to identify some of the unknown main parameters of a structure. This main research focuses on a particular path of study and development, but the same concepts can be applied to other objects of research. The main purpose of this work is the identification of unknown boundary conditions of a bridge pier using the data acquired experimentally with field tests and a FEM modal updating process. This work doesn’t want to be new, neither innovative. A lot of work has been done during the past years on this main problem and many solutions have been shown and published. This thesis just want to rework some of the main aspects of the structural optimization process, using a real structure as fitting model.
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Biodegradable polymer nanoparticles have the properties necessary to address many of the issues associated with current drug delivery techniques including targeted and controlled delivery. A novel drug delivery vehicle is proposed consisting of a poly(lactic acid) nanoparticle core, with a functionalized, mesoporous silica shell. In this study, the production of PLA nanoparticles is investigated using solvent displacement in both a batch and continuous manner, and the effects of various system parameters are examined. Using Pluronic F-127 as the stabilization agent throughout the study, PLA nanoparticles are produced through solvent displacement with diameters ranging from 200 to 250 nm using two different methods: dropwise addition and in an impinging jet mixer. The impinging jet mixer allows for easy scale-up of particle production. The concentration of surfactant and volume of quench solution is found to have minimal impact on particle diameter; however, the concentration of PLA is found to significantly impact the diameter mean and polydispersity. In addition, the stability of the PLA nanoparticles is observed to increase as residual THF is evaporated. Lastly, the isolated PLA nanoparticles are coated with a silica shell using the Stöber Process. It is found that functionalizing the silica with a phosphonic silane in the presence of excess Pluronic F-127 decreases coalescence of the particles during the coating process. Future work should be conducted to fine-tune the PLA nanoparticle synthesis process by understanding the effect of other system parameters and in synthesizing mesoporous silica shells.
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El objetivo de la tesis es estudiar el mundo del trabajo y la dinámica de las relaciones sociales en las etapas 1935-1945 y 1945-1955, -especialmente en los años del peronismo- en la cual estuvieron involucrados empresarios y trabajadores de la actividad industrial. Se tomó como unidad de análisis la empresa Siam Di Tella; y como problemática principal se escogieron las relaciones/conflictos que el sector obrero estableció con el sector empresarial en aquellos aspectos referidos a las estrategias productivas, políticas e incluso educativas, diseñadas por los diferentes actores sociales participantes en la disputa por el control de la producción en el espacio fabril. Por ello, el eje principal de este trabajo estará centrado en la aplicación (empresarial) y en las resistencias (obreras) de aquellas políticas basadas en el disciplinamiento y control (taylorizacion y fordización) de la producción, así como las iniciativas de formación para los trabajadores en el marco del ámbito fabril, -particularmente en el campo técnico/educativo
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El objetivo de la tesis es estudiar el mundo del trabajo y la dinámica de las relaciones sociales en las etapas 1935-1945 y 1945-1955, -especialmente en los años del peronismo- en la cual estuvieron involucrados empresarios y trabajadores de la actividad industrial. Se tomó como unidad de análisis la empresa Siam Di Tella; y como problemática principal se escogieron las relaciones/conflictos que el sector obrero estableció con el sector empresarial en aquellos aspectos referidos a las estrategias productivas, políticas e incluso educativas, diseñadas por los diferentes actores sociales participantes en la disputa por el control de la producción en el espacio fabril. Por ello, el eje principal de este trabajo estará centrado en la aplicación (empresarial) y en las resistencias (obreras) de aquellas políticas basadas en el disciplinamiento y control (taylorizacion y fordización) de la producción, así como las iniciativas de formación para los trabajadores en el marco del ámbito fabril, -particularmente en el campo técnico/educativo
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La investigación tiene como objetivo principal analizar la experiencia de la Asociación Instituto de Desarrollo Comunitario de Cuenca, en la práctica del desarrollo local en los territorios rurales de esta provincia. La necesidad de estimular a la población para que ésta forme parte de su propio desarrollo, pone de manifiesto la existencia de determinadas instituciones externas que a través de procesos como la facilitación, movilizan y crean capacidades en las personas y las empujan hacia la participación. Este es el caso del IDC de Cuenca que nace en 1985 como entidad privada —declarada de utilidad pública y sin ánimo de lucro—, con la voluntad de sus fundadores de trabajar en el desarrollo local de las zonas deprimidas de Cuenca. La labor desarrollada en estos más de 25 años tiene como centro la promoción de la persona como ser individual y como parte de su comunidad. Para la elaboración de la Tesis, se ha utilizado la metodología del caso de estudio centrado en el análisis de la experiencia del IDC respecto de las cuatro investigaciones realizadas centradas en el proceso de facilitación, las herramientas de formación e información, y la dinamización del tejido asociativo como resultado del proceso. La labor del IDC en la provincia de Cuenca se ha desarrollado a través de la ejecución de proyectos. Éstos se han llevado a cabo por medio de procesos de facilitación donde la creación de grupos de trabajo ha permitido mejorar la estructuración social de las zonas rurales. Los grupos de trabajo son creados y apoyados por el IDC a través de la utilización de las herramientas de información y formación, que deben estar adaptadas a las necesidades de los individuos y en este caso cuentan con una metodología de aplicación propia. La creación de diferentes entidades —asociaciones, cooperativas, clubes, etc.—, ha sido uno de los resultados del trabajo desarrollado por el IDC a través de los procesos de facilitación que han mejorado la estructuración de la sociedad rural. Pese a la complejidad tanto de los procesos de desarrollo como de la evaluación final de dichos procesos, la creación de grupos capaces de alcanzar determinados objetivos propuestos en su comunidad potenciando sus propios recursos, son el ejemplo de la dinamización social que se lleva produciendo en la provincia de Cuenca desde hace más de 25 años. The research's main objective is to analyze the experience of the Asociación Instituto de Desarrollo Comunitario de Cuenca, in the practice of local development in rural areas of this province. The need to encourage more people to take part of their own development, reveals the existence of certain external institutions which through processes such as facilitation, mobilize and create capacities in people to foster their participation. This is the case of the IDC of Cuenca that was born in 1985 as a private entity —declared of public utility and as non profit entity— with the intention, as stated by its founders, of working in the local development of the disadvantaged areas of Cuenca. The work carried out in these more than 25 years focused on promoting the person as an individual and as part of their community. In this research, the methodology of the case study has been used in the analysis of the experience of the IDC in four investigations carried out regarding the process of facilitation, training and information tools, and the improvement of social involvement as a result of the development process. The work of the IDC in the province of Cuenca has been developed through the implementation of projects. They have been carried out through processes of facilitation, where the creation of working groups has improved the social structuring of rural areas. The working groups are created and supported by the IDC through the use of tools of information and training, which must be adapted to the individual needs in each case, and even count with their own implementation methodology. The creation of different entities —associations, cooperatives, clubs, etc.— has been one of the results of the work carried out by the IDC through processes of facilitation which have improved the structure of rural society. Despite the complexity of development processes and the final assessment of these processes, the creation of groups able to reach certain objectives proposed in their community promoting its own resources, is an example of the social involvement that has been taking place in the province of Cuenca for more than 25 years.
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The introduction of open-plan offices in the 1960s with the intent of making the workplace more flexible, efficient, and team-oriented resulted in a higher noise floor level, which not only made concentrated work more difficult, but also caused physiological problems, such as increased stress, in addition to a loss of speech privacy. Irrelevant background human speech, in particular, has proven to be a major factor in disrupting concentration and lowering performance. Therefore, reducing the intelligibility of speech and has been a goal of increasing importance in recent years. One method employed to do so is the use of masking noises, which consists in emitting a continuous noise signal over a loudspeaker system that conceals the perturbing speech. Studies have shown that while effective, the maskers employed to date – normally filtered pink noise – are generally poorly accepted by users. The collaborative "Private Workspace" project, within the scope of which this thesis was carried out, attempts to develop a coupled, adaptive noise masking system along with a physical structure to be used for open-plan offices so as to combat these issues. There is evidence to suggest that nature sounds might be more accepted as masker, in part because they can have a visual object that acts as the source for the sound. Direct audio recordings are not recommended for various reasons, and thus the nature sounds must be synthesized. This work done consists of the synthesis of a sound texture to be used as a masker as well as its evaluation. The sound texture is composed of two parts: a wind-like noise synthesized with subtractive synthesis, and a leaf-like noise synthesized through granular synthesis. Different combinations of these two noises produced five variations of the masker, which were evaluated at different levels along with white noise and pink noise using a modified version of an Oldenburger Satztest to test for an affect on speech intelligibility and a questionnaire to asses its subjective acceptance. The goal was to find which of the synthesized noises works best as a speech masker. This thesis first uses a theoretical introduction to establish the basics of sound perception, psychoacoustic masking, and sound texture synthesis. The design of each of the noises, as well as their respective implementations in MATLAB, is explained, followed by the procedures used to evaluate the maskers. The results obtained in the evaluation are analyzed. Lastly, conclusions are drawn and future work is and modifications to the masker are proposed. RESUMEN. La introducción de las oficinas abiertas en los años 60 tenía como objeto flexibilizar el ambiente laboral, hacerlo más eficiente y que estuviera más orientado al trabajo en equipo. Como consecuencia, subió el nivel de ruido de fondo, que no sólo dificulta la concentración, sino que causa problemas fisiológicos, como el aumento del estrés, además de reducir la privacidad. Hay estudios que prueban que las conversaciones de fondo en particular tienen un efecto negativo en el nivel de concentración y disminuyen el rendimiento de los trabajadores. Por lo tanto, reducir la inteligibilidad del habla es uno de los principales objetivos en la actualidad. Un método empleado para hacerlo ha sido el uso de ruido enmascarante, que consiste en reproducir señales continuas de ruido a través de un sistema de altavoces que enmascare el habla. Aunque diversos estudios demuestran que es un método eficaz, los ruidos utilizados hasta la fecha (normalmente ruido rosa filtrado), no son muy bien aceptados por los usuarios. El proyecto colaborativo "Private Workspace", dentro del cual se engloba el trabajo realizado en este Proyecto Fin de Grado, tiene por objeto desarrollar un sistema de ruido enmascarador acoplado y adaptativo, además de una estructura física, para su uso en oficinas abiertas con el fin de combatir los problemas descritos anteriormente. Existen indicios de que los sonidos naturales son mejor aceptados, en parte porque pueden tener una estructura física que simule ser la fuente de los mismos. La utilización de grabaciones directas de estos sonidos no está recomendada por varios motivos, y por lo tanto los sonidos naturales deben ser sintetizados. El presente trabajo consiste en la síntesis de una textura de sonido (en inglés sound texture) para ser usada como ruido enmascarador, además de su evaluación. La textura está compuesta de dos partes: un sonido de viento sintetizado mediante síntesis sustractiva y un sonido de hojas sintetizado mediante síntesis granular. Diferentes combinaciones de estos dos sonidos producen cinco variaciones de ruido enmascarador. Estos cinco ruidos han sido evaluados a diferentes niveles, junto con ruido blanco y ruido rosa, mediante una versión modificada de un Oldenburger Satztest para comprobar cómo afectan a la inteligibilidad del habla, y mediante un cuestionario para una evaluación subjetiva de su aceptación. El objetivo era encontrar qué ruido de los que se han sintetizado funciona mejor como enmascarador del habla. El proyecto consiste en una introducción teórica que establece las bases de la percepción del sonido, el enmascaramiento psicoacústico, y la síntesis de texturas de sonido. Se explica a continuación el diseño de cada uno de los ruidos, así como su implementación en MATLAB. Posteriormente se detallan los procedimientos empleados para evaluarlos. Los resultados obtenidos se analizan y se extraen conclusiones. Por último, se propone un posible trabajo futuro y mejoras al ruido sintetizado.
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A nivel mundial, el cáncer de mama es el tipo de cáncer más frecuente además de una de las principales causas de muerte entre la población femenina. Actualmente, el método más eficaz para detectar lesiones mamarias en una etapa temprana es la mamografía. Ésta contribuye decisivamente al diagnóstico precoz de esta enfermedad que, si se detecta a tiempo, tiene una probabilidad de curación muy alta. Uno de los principales y más frecuentes hallazgos en una mamografía, son las microcalcificaciones, las cuales son consideradas como un indicador importante de cáncer de mama. En el momento de analizar las mamografías, factores como la capacidad de visualización, la fatiga o la experiencia profesional del especialista radiólogo hacen que el riesgo de omitir ciertas lesiones presentes se vea incrementado. Para disminuir dicho riesgo es importante contar con diferentes alternativas como por ejemplo, una segunda opinión por otro especialista o un doble análisis por el mismo. En la primera opción se eleva el coste y en ambas se prolonga el tiempo del diagnóstico. Esto supone una gran motivación para el desarrollo de sistemas de apoyo o asistencia en la toma de decisiones. En este trabajo de tesis se propone, se desarrolla y se justifica un sistema capaz de detectar microcalcificaciones en regiones de interés extraídas de mamografías digitalizadas, para contribuir a la detección temprana del cáncer demama. Dicho sistema estará basado en técnicas de procesamiento de imagen digital, de reconocimiento de patrones y de inteligencia artificial. Para su desarrollo, se tienen en cuenta las siguientes consideraciones: 1. Con el objetivo de entrenar y probar el sistema propuesto, se creará una base de datos de imágenes, las cuales pertenecen a regiones de interés extraídas de mamografías digitalizadas. 2. Se propone la aplicación de la transformada Top-Hat, una técnica de procesamiento digital de imagen basada en operaciones de morfología matemática. La finalidad de aplicar esta técnica es la de mejorar el contraste entre las microcalcificaciones y el tejido presente en la imagen. 3. Se propone un algoritmo novel llamado sub-segmentación, el cual está basado en técnicas de reconocimiento de patrones aplicando un algoritmo de agrupamiento no supervisado, el PFCM (Possibilistic Fuzzy c-Means). El objetivo es encontrar las regiones correspondientes a las microcalcificaciones y diferenciarlas del tejido sano. Además, con la finalidad de mostrar las ventajas y desventajas del algoritmo propuesto, éste es comparado con dos algoritmos del mismo tipo: el k-means y el FCM (Fuzzy c-Means). Por otro lado, es importante destacar que en este trabajo por primera vez la sub-segmentación es utilizada para detectar regiones pertenecientes a microcalcificaciones en imágenes de mamografía. 4. Finalmente, se propone el uso de un clasificador basado en una red neuronal artificial, específicamente un MLP (Multi-layer Perceptron). El propósito del clasificador es discriminar de manera binaria los patrones creados a partir de la intensidad de niveles de gris de la imagen original. Dicha clasificación distingue entre microcalcificación y tejido sano. ABSTRACT Breast cancer is one of the leading causes of women mortality in the world and its early detection continues being a key piece to improve the prognosis and survival. Currently, the most reliable and practical method for early detection of breast cancer is mammography.The presence of microcalcifications has been considered as a very important indicator ofmalignant types of breast cancer and its detection and classification are important to prevent and treat the disease. However, the detection and classification of microcalcifications continue being a hard work due to that, in mammograms there is a poor contrast between microcalcifications and the tissue around them. Factors such as visualization, tiredness or insufficient experience of the specialist increase the risk of omit some present lesions. To reduce this risk, is important to have alternatives such as a second opinion or a double analysis for the same specialist. In the first option, the cost increases and diagnosis time also increases for both of them. This is the reason why there is a great motivation for development of help systems or assistance in the decision making process. This work presents, develops and justifies a system for the detection of microcalcifications in regions of interest extracted fromdigitizedmammographies to contribute to the early detection of breast cancer. This systemis based on image processing techniques, pattern recognition and artificial intelligence. For system development the following features are considered: With the aim of training and testing the system, an images database is created, belonging to a region of interest extracted from digitized mammograms. The application of the top-hat transformis proposed. This image processing technique is based on mathematical morphology operations. The aim of this technique is to improve the contrast betweenmicrocalcifications and tissue present in the image. A novel algorithm called sub-segmentation is proposed. The sub-segmentation is based on pattern recognition techniques applying a non-supervised clustering algorithm known as Possibilistic Fuzzy c-Means (PFCM). The aim is to find regions corresponding to the microcalcifications and distinguish them from the healthy tissue. Furthermore,with the aim of showing themain advantages and disadvantages this is compared with two algorithms of same type: the k-means and the fuzzy c-means (FCM). On the other hand, it is important to highlight in this work for the first time the sub-segmentation is used for microcalcifications detection. Finally, a classifier based on an artificial neural network such as Multi-layer Perceptron is used. The purpose of this classifier is to discriminate froma binary perspective the patterns built from gray level intensity of the original image. This classification distinguishes between microcalcifications and healthy tissue.