Fractal based techniques for classification of mammograms and identification of microcalcifications

After skin cancer, breast cancer accounts for the second greatest number of cancer diagnoses in women. Currently the etiologies of breast cancer are unknown, and there is no generally accepted therapy for preventing it. Therefore, the best way to improve the prognosis for breast cancer is early detection and treatment. Computer aided detection systems (CAD) for detecting masses or micro-calcifications in mammograms have already been used and proven to be a potentially powerful tool , so the radiologists are attracted by the effectiveness of clinical application of CAD systems. Fractal geometry is well suited for describing the complex physiological structures that defy the traditional Euclidean geometry, which is based on smooth shapes. The major contribution of this research include the development of • A new fractal feature to accurately classify mammograms into normal and normal (i)With masses (benign or malignant) (ii) with microcalcifications (benign or malignant) • A novel fast fractal modeling method to identify the presence of microcalcifications by fractal modeling of mammograms and then subtracting the modeled image from the original mammogram. The performances of these methods were evaluated using different standard statistical analysis methods. The results obtained indicate that the developed methods are highly beneficial for assisting radiologists in making diagnostic decisions. The mammograms for the study were obtained from the two online databases namely, MIAS (Mammographic Image Analysis Society) and DDSM (Digital Database for Screening Mammography.

classification and content based retrieval of digital mammograms and placental sonograms

Image processing has been a challenging and multidisciplinary research area since decades with continuing improvements in its various branches especially Medical Imaging. The healthcare industry was very much benefited with the advances in Image Processing techniques for the efficient management of large volumes of clinical data. The popularity and growth of Image Processing field attracts researchers from many disciplines including Computer Science and Medical Science due to its applicability to the real world. In the meantime, Computer Science is becoming an important driving force for the further development of Medical Sciences. The objective of this study is to make use of the basic concepts in Medical Image Processing and develop methods and tools for clinicians’ assistance. This work is motivated from clinical applications of digital mammograms and placental sonograms, and uses real medical images for proposing a method intended to assist radiologists in the diagnostic process. The study consists of two domains of Pattern recognition, Classification and Content Based Retrieval. Mammogram images of breast cancer patients and placental images are used for this study. Cancer is a disaster to human race. The accuracy in characterizing images using simplified user friendly Computer Aided Diagnosis techniques helps radiologists in detecting cancers at an early stage. Breast cancer which accounts for the major cause of cancer death in women can be fully cured if detected at an early stage. Studies relating to placental characteristics and abnormalities are important in foetal monitoring. The diagnostic variability in sonographic examination of placenta can be overlooked by detailed placental texture analysis by focusing on placental grading. The work aims on early breast cancer detection and placental maturity analysis. This dissertation is a stepping stone in combing various application domains of healthcare and technology.

Anti-lipopolysaccharide factor and crustin-III, the anti-white spot virus peptides in Penaeus monodon: Control of viral infection by up-regulation

White Spot Syndrome Virus (WSSV) is the most devastating disease affecting shrimp culture around the world. Though, considerable progress has been made in the detection and molecular characterization of WSSV in recent years, information pertaining to immune gene expression in shrimps with respect to WSSV infection remains limited. In this context, the present study was undertaken to understand the differential expression of antimicrobial peptide (AMP) genes in the haemocytes of Penaeus monodon in response to WSSV infection on a time-course basis employing semi-quantitative RT-PCR. The present work analyzes the expression profile of six AMP genes (ALF, crustin-1, crustin-2, crustin-3, penaeidin-3 and penaeidin-5), eight WSSV genes (DNA polymerase, endonuclease, immediate early gene, latency related gene, protein kinase, ribonucleotide reductase, thymidine kinase and VP28) and three control genes (18S rRNA, β-actin and ELF) in P. monodon in response to WSSV challenge. Penaeidins were found to be up-regulated during early hours of infection and crustin-3 during late period of infection. However, ALF was found to be up-regulated early to late period of WSSV infection. The present study suggests that AMPs viz. ALF and crustin-3 play an important role in antiviral defense in shrimps. WSSV gene transcripts were detected post-challenge day 1 itself and increased considerably day 5 onwards. Evaluation of the control genes confirmed ELF as the most reliable control gene followed by 18S rRNA and β-actin for gene expression studies in shrimps. This study indicated the role of AMPs in the protection of shrimps against viral infection and their possible control through the up-regulation of AMPs

Agent Based Evacuation Simulation Using Leader-Follower Model

Agent based simulation is a widely developing area in artificial intelligence.The simulation studies are extensively used in different areas of disaster management. This work deals with the study of an agent based evacuation simulation which is being done to handle the various evacuation behaviors.Various emergent behaviors of agents are addressed here. Dynamic grouping behaviors of agents are studied. Collision detection and obstacle avoidances are also incorporated in this approach.Evacuation is studied with single exits and multiple exits and efficiency is measured in terms of evacuation rate, collision rate etc.Net logo is the tool used which helps in the efficient modeling of scenarios in evacuation

Stereo-Based Head Pose Tracking Using Iterative Closest Point and Normal Flow Constraint

In this text, we present two stereo-based head tracking techniques along with a fast 3D model acquisition system. The first tracking technique is a robust implementation of stereo-based head tracking designed for interactive environments with uncontrolled lighting. We integrate fast face detection and drift reduction algorithms with a gradient-based stereo rigid motion tracking technique. Our system can automatically segment and track a user's head under large rotation and illumination variations. Precision and usability of this approach are compared with previous tracking methods for cursor control and target selection in both desktop and interactive room environments. The second tracking technique is designed to improve the robustness of head pose tracking for fast movements. Our iterative hybrid tracker combines constraints from the ICP (Iterative Closest Point) algorithm and normal flow constraint. This new technique is more precise for small movements and noisy depth than ICP alone, and more robust for large movements than the normal flow constraint alone. We present experiments which test the accuracy of our approach on sequences of real and synthetic stereo images. The 3D model acquisition system we present quickly aligns intensity and depth images, and reconstructs a textured 3D mesh. 3D views are registered with shape alignment based on our iterative hybrid tracker. We reconstruct the 3D model using a new Cubic Ray Projection merging algorithm which takes advantage of a novel data structure: the linked voxel space. We present experiments to test the accuracy of our approach on 3D face modelling using real-time stereo images.

Learning-Based Approach to Real Time Tracking and Analysis of Faces

This paper describes a trainable system capable of tracking faces and facialsfeatures like eyes and nostrils and estimating basic mouth features such as sdegrees of openness and smile in real time. In developing this system, we have addressed the twin issues of image representation and algorithms for learning. We have used the invariance properties of image representations based on Haar wavelets to robustly capture various facial features. Similarly, unlike previous approaches this system is entirely trained using examples and does not rely on a priori (hand-crafted) models of facial features based on optical flow or facial musculature. The system works in several stages that begin with face detection, followed by localization of facial features and estimation of mouth parameters. Each of these stages is formulated as a problem in supervised learning from examples. We apply the new and robust technique of support vector machines (SVM) for classification in the stage of skin segmentation, face detection and eye detection. Estimation of mouth parameters is modeled as a regression from a sparse subset of coefficients (basis functions) of an overcomplete dictionary of Haar wavelets.

GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data

La tecnología LiDAR (Light Detection and Ranging), basada en el escaneado del territorio por un telémetro láser aerotransportado, permite la construcción de Modelos Digitales de Superficie (DSM) mediante una simple interpolación, así como de Modelos Digitales del Terreno (DTM) mediante la identificación y eliminación de los objetos existentes en el terreno (edificios, puentes o árboles). El Laboratorio de Geomática del Politécnico de Milán – Campus de Como- desarrolló un algoritmo de filtrado de datos LiDAR basado en la interpolación con splines bilineares y bicúbicas con una regularización de Tychonov en una aproximación de mínimos cuadrados. Sin embargo, en muchos casos son todavía necesarios modelos más refinados y complejos en los cuales se hace obligatorio la diferenciación entre edificios y vegetación. Este puede ser el caso de algunos modelos de prevención de riesgos hidrológicos, donde la vegetación no es necesaria; o la modelización tridimensional de centros urbanos, donde la vegetación es factor problemático. (...)

Robust fault detection using consistency techniques for uncertainty handling

Often practical performance of analytical redundancy for fault detection and diagnosis is decreased by uncertainties prevailing not only in the system model, but also in the measurements. In this paper, the problem of fault detection is stated as a constraint satisfaction problem over continuous domains with a big number of variables and constraints. This problem can be solved using modal interval analysis and consistency techniques. Consistency techniques are then shown to be particularly efficient to check the consistency of the analytical redundancy relations (ARRs), dealing with uncertain measurements and parameters. Through the work presented in this paper, it can be observed that consistency techniques can be used to increase the performance of a robust fault detection tool, which is based on interval arithmetic. The proposed method is illustrated using a nonlinear dynamic model of a hydraulic system

Medidas de intervención para promoción de conductas saludables y prevención de riesgos laborales relacionados con accidentalidad y enfermedad laboral en trabajadores de minas de Carbón

Colombia en su legislación normatiza el sector de la minería de carbón, sin embargo se considera que las estrategias no han sido suficientes para la identificación, prevención y control de la accidentalidad y enfermedad laboral. Durante el año 2013 el índice de fatalidad fue de 1,59. Estadísticas del año 2004 evidencian que las neumoconiosis fueron las mayores causas de invalidez de origen profesional. Objetivo: Categorizar actividades de intervención en promoción y prevención de accidentalidad y enfermedad laboral en trabajadores de la minería de carbón. Metodología: Se realizó una revisión de literatura sobre minería de carbón y salud la cual fue obtenida de las bases de datos PUBMED, Sciendirect, VHL, SINAB por literatura publicada sin límites de año, en idioma inglés, español o portugués. Para la búsqueda se utilizaron términos en lenguaje controlado (términos MESH), revisión por pares de títulos y resúmenes. Las publicaciones fueron seleccionadas para revisión de texto completo bajo criterios de inclusión y exclusión. Los códigos contemplados para esta revisión fueron: a) país donde la intervención se llevó a cabo, b) salud ocupacional, c) prevención de accidentalidad, d) programas de promoción, e) tecnologías, f) resultados obtenidos. Resultados: Del total de 2500 artículos seleccionados por los autores principales se realizó la revisión de los primeros 300 artículos, 32 hacen referencia al tema de salud ocupacional y minería de carbón, 10 contienen intervenciones consideradas de relevancia para esta revisión bibliográfica. Se presentan intervenciones estadísticamente significativas (p<0.05) y que han demostrado ser de impacto positivo en la minería de carbón en promoción y prevención de accidentalidad y enfermedad ocupacional. Conclusiones: Se identificaron las siguientes cuatro tipos de intervención: 1) las de carácter educativo que hacen referencia a las capacitaciones participativas, el entrenamiento por medio de “degraded image”, la realización de gestión de autocontrol y retroalimentación para el uso de elementos de protección personal (EPP), la aplicación del Modelo de Proceso Paralelo Extendido; 2) intervenciones preventivas como la medición de alcoholimetría antes del turno, la presencia de personal de enfermería en minas de carbón y el reconocimiento de los predictores de la enfermedad para optimizar la prevención primaria; 3)intervenciones de vigilancia como la promovida en la metodología Estadísticas Europeas de Accidentes de Trabajo (EEAT) para la investigación de los accidentes de trabajo, la aplicación de las recomendaciones de la Organización Mundial de la Salud (OMS) para la detección de la neumoconiosis y 4) De carácter tecnológico consistente en la intervención de tareas a partir de los resultados de la aplicación del software desarrollado por el Instituto Nacional para la Seguridad y Salud Ocupacional (NIOSH). Estas intervenciones han demostrado ser eficaces en la promoción y prevención de accidentalidad y enfermedad ocupacional por lo cual se recomienda su aplicación en Colombia posterior al análisis de costo-efectividad.

A human ribonuclease induces apoptosis associated with p21WAF1/CIP1 induction and JNK inactivation

Ribonucleases are promising agents for use in anticancer therapy. Among the different ribonucleases described to be cytotoxic, a paradigmatic example is onconase which manifests cytotoxic and cytostatic effects, presents synergism with several kinds of anticancer drugs and is currently in phase II/III of its clinical trial as an anticancer drug against different types of cancer. The mechanism of cytotoxicity of PE5, a variant of human pancreatic ribonuclease carrying a nuclear localization signal, has been investigated and compared to that of onconase. Methods: Cytotoxicity was measured by the MTT method and by the tripan blue exclusion assay. Apoptosis was assessed by flow cytometry, caspase enzymatic detection and confocal microscopy. Cell cycle phase analysis was performed by flow cytometry. The expression of different proteins was analyzed by western blot.n Results: We show that the cytotoxicity of PE5 is produced through apoptosis, that it does not require the proapoptotic activity of p53 and is not prevented by the multiple drug resistance phenotype. We also show that PE5 and onconase induce cell death at the same extent although the latter is also able to arrest the cell growth. We have compared the cytotoxic effects of both ribonucleases in the NCI/ADR-RES cell line by measuring their effects on the cell cycle, on the activation of different caspases and on the expression of different apoptosis- and cell cycle-related proteins. PE5 increases the number of cells in S and G2/M cell cycle phases, which is accompanied by the increased expression of cyclin E and p21WAF1/CIP1 together with the underphosphorylation of p46 forms of JNK. Citotoxicity of onconase in this cell line does not alter the cell cycle phase distribution and it is accompanied by a decreased expression of XIAP. Conclusions: We conclude that PE5 kills the cells through apoptosis associated with the p21WAF1/CIP1 induction and the inactivation of JNK. This mechanism is significantly different from that found for onconase

Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors

ABSRACT This thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. The main objective is to evaluate and apply a novel artificial intelligent methodology based on situation assessment for monitoring and diagnosis of Sequencing Batch Reactor (SBR) operation. To this end, Multivariate Statistical Process Control (MSPC) in combination with Case-Based Reasoning (CBR) methodology was developed, which was evaluated on three different SBR (pilot and lab-scales) plants and validated on BSM1 plant layout.

A study on the phylogeny and the ecology of ammonia-oxidizing bacteria using a new molecular marker based on the gene amoB

L'agricultura i la industrialització han causat un augment significatiu del nombre d'ambients rics en amoni. La presència de compostos nitrogenats redueix la qualitat de l'aigua, causant problemes de toxicitat, deteriorant el medi ambient i fins i tot afectant la salut humana. En conseqüència, la nitrificació s'ha convertit en un procés global que afecta al cicle del nitrogen a la biosfera. Els bacteris oxidadors d'amoni (AOB) són els responsables de l'oxidació de l'amoni a nitrit, i juguen un paper essencial en el cicle del nitrogen. Els primers oxidadors d'amoni foren aïllats a finals del segle XIX, però la lentitud del seu creixement i les dificultats per cultivar-los feren que fins als anys 80, amb els primers estudis emprant el gen 16SrDNA, no s'assolís un coneixement complert d'aquest grup bacterià. Actualment les bases de dades contenen multitud d'entrades amb seqüències corresponents a AOB. L'objectiu d'aquest treball era trobar, desenvolupar i avaluar eines útils i fiables per a l'estudi dels AOB en mostres ambientals. En aquest treball primer descrivim la utilització de la hibridació in situ amb fluorescència (FISH), mitjançant l'aplicació de sondes amb diana en el 16SrRNA dels AOB. La FISH ens va permetre detectar i recomptar aquest grup bacterià; no obstant, aquest mètode no permetia la detecció de noves seqüències, pel que es necessitava una nova eina. Amb aquesta intenció vam aplicar la seqüència de la sonda Nso1225 en una PCR. El fet d'amplificar específicament un fragment del 16SrDNA dels AOB va suposar el desenvolupament d'una nova eina molecular que permetia detectar la presència i diversitat d'aquests bacteris en ambients naturals. Malgrat tot, algunes seqüències pertanyents a bacteris no oxidadors d'amoni del subgrup β dels proteobacteris, eren també obtingudes amb aquesta tècnica. Així mateix, un dels inconvenients de l'ús del 16SrDNA com a marcador és la impossibilitat de detectar simultàniament els AOB que pertanyen als subgrups β i γ dels proteobacteris. El gen amoA, que codifica per la subunitat A de l'enzim amoni monooxigenasa (AMO), era aleshores àmpliament utilitzat com a marcador per a la detecció dels AOB. En aquest treball també descrivim la utilització d'aquest marcador en mostres procedents d'un reactor SBR. Aquest marcador ens va permetre identificar seqüències de AOB en la mostra, però la necessitat de detectar amoA mitjançant clonatge fa que l'ús d'aquest marcador requereixi massa temps per a la seva utilització com a eina en estudis d'ecologia microbiana amb moltes mostres. Per altra banda, alguns autors han assenyalat l'obtenció de seqüències de no AOB en utilitzar amoA en un protocol de PCR-DGGE. Amb la finalitat d'obtenir una eina ràpida i rigorosa per detectar i identificar els AOB, vam desenvolupar un joc nou d'oligonucleòtids amb diana en el gen amoB, que codifica per a la subunitat transmembrana de l'enzim AMO. Aquest gen ha demostrat ser un bon marcador molecular pels AOB, oferint, sense tenir en compte afiliacions filogenètiques, una elevada especificitat, sensibilitat i fiabilitat. En aquest treball també presentem una anàlisi de RT-PCR basada en la detecció del gen amoB per a la quantificació del gènere Nitrosococcus. El nou joc d'oligonucleòtids dissenyat permet una enumeració altament específica i sensible de tots els γ-Nitrosococcus coneguts. Finalment, vam realitzar un estudi poligènic, comparant i avaluant els marcadors amoA, amoB i 16SrDNA, i vàrem construir un arbre filogenètic combinat. Com a resultat concloem que amoB és un marcador adequat per a la detecció i identificació dels AOB en mostres ambientals, proporcionant alhora agrupacions consistents en fer inferències filogenètiques. Per altra banda, la seqüència sencera del gen 16S rDNA és indicada com a marcador en estudis amb finalitats taxonòmiques i filogenètiques en treballar amb cultius purs de AOB.

Development of molecular monitoring methods and assessment of the environmental fate of the biological control agent of fire blight Pseudomonas fluorescens EPS62e

Pseudomonas fluorescens EPS62e es va seleccionar com a agent de biocontrol del foc bacterià per la seva eficàcia en el control de Erwinia amylovora. En aquest treball es van desenvolupar mètodes de traçabilitat que van permetre la seva detecció específica i quantificació. Mitjançant les tècniques RAPD i U-PCR es van obtenir fragments d'amplificació diferencial per EPS62e que es van seqüenciar i caracteritzar com marcadors SCAR per dissenyar una PCR en temps real. La PCR a temps real es va utilitzar simultàniament amb mètodes microbiològics per estudiar l'adaptabilitat epifítica de EPS62e en pomera i perera. L'ús combinat de mètodes microbiològics i moleculars va permetre la identificació de tres estats fisiològics de EPS62e: la colonització activa, l'entrada en un estat de viable però no cultivable, i la mort cel·lular. Aquest treball mostra que EPS62e està ben adaptada a la colonització de flors a camp, encoratjant la seva utilització dins d'una estratègia de control biològic contra el foc bacterià.

Integration of knowledge-based, qualitative and numeric tools for real time dynamic systems supervision

The proposal presented in this thesis is to provide designers of knowledge based supervisory systems of dynamic systems with a framework to facilitate their tasks avoiding interface problems among tools, data flow and management. The approach is thought to be useful to both control and process engineers in assisting their tasks. The use of AI technologies to diagnose and perform control loops and, of course, assist process supervisory tasks such as fault detection and diagnose, are in the scope of this work. Special effort has been put in integration of tools for assisting expert supervisory systems design. With this aim the experience of Computer Aided Control Systems Design (CACSD) frameworks have been analysed and used to design a Computer Aided Supervisory Systems (CASSD) framework. In this sense, some basic facilities are required to be available in this proposed framework: ·

Plagiarism, contract cheating and final year projects

Presentation on pre-emption, detection and redirection in the context of the contract cheating form of plagiarism.