862 resultados para Wavelets and fast transform eavelet


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Timely detection of sudden change in dynamics that adversely affect the performance of systems and quality of products has great scientific relevance. This work focuses on effective detection of dynamical changes of real time signals from mechanical as well as biological systems using a fast and robust technique of permutation entropy (PE). The results are used in detecting chatter onset in machine turning and identifying vocal disorders from speech signal.Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. Here we propose the use of permutation entropy (PE), to detect the dynamical changes in two non linear processes, turning under mechanical system and speech under biological system.Effectiveness of PE in detecting the change in dynamics in turning process from the time series generated with samples of audio and current signals is studied. Experiments are carried out on a lathe machine for sudden increase in depth of cut and continuous increase in depth of cut on mild steel work pieces keeping the speed and feed rate constant. The results are applied to detect chatter onset in machining. These results are verified using frequency spectra of the signals and the non linear measure, normalized coarse-grained information rate (NCIR).PE analysis is carried out to investigate the variation in surface texture caused by chatter on the machined work piece. Statistical parameter from the optical grey level intensity histogram of laser speckle pattern recorded using a charge coupled device (CCD) camera is used to generate the time series required for PE analysis. Standard optical roughness parameter is used to confirm the results.Application of PE in identifying the vocal disorders is studied from speech signal recorded using microphone. Here analysis is carried out using speech signals of subjects with different pathological conditions and normal subjects, and the results are used for identifying vocal disorders. Standard linear technique of FFT is used to substantiate thc results.The results of PE analysis in all three cases clearly indicate that this complexity measure is sensitive to change in regularity of a signal and hence can suitably be used for detection of dynamical changes in real world systems. This work establishes the application of the simple, inexpensive and fast algorithm of PE for the benefit of advanced manufacturing process as well as clinical diagnosis in vocal disorders.

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Iris Recognition is a highly efficient biometric identification system with great possibilities for future in the security systems area.Its robustness and unobtrusiveness, as opposed tomost of the currently deployed systems, make it a good candidate to replace most of thesecurity systems around. By making use of the distinctiveness of iris patterns, iris recognition systems obtain a unique mapping for each person. Identification of this person is possible by applying appropriate matching algorithm.In this paper, Daugman’s Rubber Sheet model is employed for irisnormalization and unwrapping, descriptive statistical analysis of different feature detection operators is performed, features extracted is encoded using Haar wavelets and for classification hammingdistance as a matching algorithm is used. The system was tested on the UBIRIS database. The edge detection algorithm, Canny, is found to be the best one to extract most of the iris texture. The success rate of feature detection using canny is 81%, False Accept Rate is 9% and False Reject Rate is 10%.

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The thesis explores the area of still image compression. The image compression techniques can be broadly classified into lossless and lossy compression. The most common lossy compression techniques are based on Transform coding, Vector Quantization and Fractals. Transform coding is the simplest of the above and generally employs reversible transforms like, DCT, DWT, etc. Mapped Real Transform (MRT) is an evolving integer transform, based on real additions alone. The present research work aims at developing new image compression techniques based on MRT. Most of the transform coding techniques employ fixed block size image segmentation, usually 8×8. Hence, a fixed block size transform coding is implemented using MRT and the merits and demerits are analyzed for both 8×8 and 4×4 blocks. The N2 unique MRT coefficients, for each block, are computed using templates. Considering the merits and demerits of fixed block size transform coding techniques, a hybrid form of these techniques is implemented to improve the performance of compression. The performance of the hybrid coder is found to be better compared to the fixed block size coders. Thus, if the block size is made adaptive, the performance can be further improved. In adaptive block size coding, the block size may vary from the size of the image to 2×2. Hence, the computation of MRT using templates is impractical due to memory requirements. So, an adaptive transform coder based on Unique MRT (UMRT), a compact form of MRT, is implemented to get better performance in terms of PSNR and HVS The suitability of MRT in vector quantization of images is then experimented. The UMRT based Classified Vector Quantization (CVQ) is implemented subsequently. The edges in the images are identified and classified by employing a UMRT based criteria. Based on the above experiments, a new technique named “MRT based Adaptive Transform Coder with Classified Vector Quantization (MATC-CVQ)”is developed. Its performance is evaluated and compared against existing techniques. A comparison with standard JPEG & the well-known Shapiro’s Embedded Zero-tree Wavelet (EZW) is done and found that the proposed technique gives better performance for majority of images

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In dieser Arbeit werden verschiedene Computermodelle, Rechenverfahren und Methoden zur Unterstützung bei der Integration großer Windleistungen in die elektrische Energieversorgung entwickelt. Das Rechenmodell zur Simulation der zeitgleich eingespeisten Windenergie erzeugt Summenganglinien von beliebig zusammengestellten Gruppen von Windenergieanlagen, basierend auf gemessenen Wind- und Leistungsdaten der nahen Vergangenheit. Dieses Modell liefert wichtige Basisdaten für die Analyse der Windenergieeinspeisung auch für zukünftige Szenarien. Für die Untersuchung der Auswirkungen von Windenergieeinspeisungen großräumiger Anlagenverbünde im Gigawattbereich werden verschiedene statistische Analysen und anschauliche Darstellungen erarbeitet. Das im Rahmen dieser Arbeit entwickelte Modell zur Berechnung der aktuell eingespeisten Windenergie aus online gemessenen Leistungsdaten repräsentativer Windparks liefert wertvolle Informationen für die Leistungs- und Frequenzregelung der Netzbetreiber. Die zugehörigen Verfahren zur Ermittlung der repräsentativen Standorte und zur Überprüfung der Repräsentativität bilden die Grundlage für eine genaue Abbildung der Windenergieeinspeisung für größere Versorgungsgebiete, basierend auf nur wenigen Leistungsmessungen an Windparks. Ein weiteres wertvolles Werkzeug für die optimale Einbindung der Windenergie in die elektrische Energieversorgung bilden die Prognosemodelle, die die kurz- bis mittelfristig zu erwartende Windenergieeinspeisung ermitteln. In dieser Arbeit werden, aufbauend auf vorangegangenen Forschungsarbeiten, zwei, auf Künstlich Neuronalen Netzen basierende Modelle vorgestellt, die den zeitlichen Verlauf der zu erwarten Windenergie für Netzregionen und Regelzonen mit Hilfe von gemessenen Leistungsdaten oder prognostizierten meteorologischen Parametern zur Verfügung stellen. Die softwaretechnische Zusammenfassung des Modells zur Berechnung der aktuell eingespeisten Windenergie und der Modelle für die Kurzzeit- und Folgetagsprognose bietet eine attraktive Komplettlösung für die Einbindung der Windenergie in die Leitwarten der Netzbetreiber. Die dabei entwickelten Schnittstellen und die modulare Struktur des Programms ermöglichen eine einfache und schnelle Implementierung in beliebige Systemumgebungen. Basierend auf der Leistungsfähigkeit der Online- und Prognosemodelle werden Betriebsführungsstrategien für zu Clustern im Gigawattbereich zusammengefasste Windparks behandelt, die eine nach ökologischen und betriebswirtschaftlichen Gesichtspunkten sowie nach Aspekten der Versorgungssicherheit optimale Einbindung der geplanten Offshore-Windparks ermöglichen sollen.

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We present a new method for rendering novel images of flexible 3D objects from a small number of example images in correspondence. The strength of the method is the ability to synthesize images whose viewing position is significantly far away from the viewing cone of the example images ("view extrapolation"), yet without ever modeling the 3D structure of the scene. The method relies on synthesizing a chain of "trilinear tensors" that governs the warping function from the example images to the novel image, together with a multi-dimensional interpolation function that synthesizes the non-rigid motions of the viewed object from the virtual camera position. We show that two closely spaced example images alone are sufficient in practice to synthesize a significant viewing cone, thus demonstrating the ability of representing an object by a relatively small number of model images --- for the purpose of cheap and fast viewers that can run on standard hardware.

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Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of nontextured objets or objets for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

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Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted from different points of view. Then, visual servoing is object-dependent as it depends on the object appearance. Therefore, performing the positioning task is not possible in presence of non-textured objects or objects for which extracting visual features is too complex or too costly. This paper proposes a solution to tackle this limitation inherent to the current visual servoing techniques. Our proposal is based on the coded structured light approach as a reliable and fast way to solve the correspondence problem. In this case, a coded light pattern is projected providing robust visual features independently of the object appearance

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El presente estudio evalúa si hay cambios importantes en el indicador DNA, sin pretender demostrar causalidad, durante dos años antes y tres años después de la participación del EE, mediante un análisis comparativo pareado entre grupos con recolección retrospectiva. Durante el desarrollo de la formación de la primera cohorte de residentes del programa de especialización en Medicina de Emergencias en Bogotá, el hospital base del posgrado contrató un especialista en emergencias graduado en Medellín del Instituto de Ciencias de la Salud (CES), como Jefe del SU, lo que fue visto como una oportunidad única para notar los cambios posteriores a su participación, si bien el estudio no se diseñó para evaluar causalidad directa, pues los múltiples factores que intervendrían y el riesgo de modificación del factor a estudiar eran muy altos como para proponerse un análisis multivariado prospectivo.

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One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram

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A fi d'analitzar la contribució de la regió C-terminal proposada com a iniciadora del plegament (CFIS 106-118) a l'estabilitat de l'RNasa A, els residus alifàtics d'aquesta regió es van substituir, mitjançant mutagènesi dirigida, per altres residus en els quals la cadena lateral alifàtica era rogressivament escurçada. La major part de les substitucions projectades suposaven delecions no disruptives de grups metil(è). A més, es va reemplaçar la Tyr115 per un Trp, de manera que, potencialment, s'introduïa una única sonda fluorescent, no desestabilitzant, per tal de seguir els canvis conformacionals que es poguessin generar en la regió durant el procés de legament/desplegament de la proteïna. Tant els paràmetres cinètics, com els espectres d'FTIR i CD, determinats per cadascuna de les ribonucleases variants, indiquen que els reemplaçaments aminoacídics efectuats presenten, en general, poc o cap efecte en l'estructura nativa i en l'activitat de l'enzim. Es va emprar l'espectroscòpia d'absorció a l'ultraviolat de quarta derivada, la fluorescència (per la variant amb Trp) i l'espectroscòpia d'infraroig per transformada de Fourier, per tal de seguir i caracteritzar, en condicions d'equilibri, les transicions conformacionals de cada variant en funció de la pressió i de la temperatura. Els resultats es van comparar amb els que es van obtenir per la proteïna salvatge. Per determinar més a fons les característiques del procés de desplegament de la variant Y115W, les transicions de desnaturalització induïdes per urea d'aquesta variant i de la proteïna salvatge, van ésser examinades per mitjà d'electroforesi en gradient d'urea i espectroscòpia de fluorescència. Curiosament, els canvis conformacionals que resulten de la desnaturalització per pressió són molt semblants als que s'obtenen per temperatura. Enfront d'un augment gradual tant de pressió com de temperatura, l'estructura terciària i els elements d'estructura secundària de les proteïnes estudiades es perden de manera conjunta i reversible. Aquestes variacions estructurals que es promouen descriuen un procés de desplegament molt cooperatiu i en dos estats. Atès que ambdues tècniques (UV i FTIR) utilitzen cadascuna un règim de concentració proteica molt diferent, els resultats indiquen que el procés de desplegament per pressió i per temperatura és intramolecular. Els resultats obtinguts suggereixen que la hidrofobicitat i el volum de les cadenes laterals del CFIS, juntament amb les interaccions de van der Waals entre elements d'estructura secundària intervenen de manera molt notable en l'estabilització de la proteïna. Entre els diferents aminoàcids alifàtics que pertanyen al CFIS C-terminal, la Val108 és el residu més important per tal de preservar la integritat estructural de l'estat natiu. Els reemplaçaments en aquesta posició causen petites alteracions conformacionals i una gran desestabilització de la proteïna (per exemple, el punt mig de la transició de desnaturalització per pressió i per temperatura de la variant V108G disminueix uns 592 MPa i 25ºC, respectivament, respecte a la proteïna salvatge). D'acord amb els resultats obtinguts, la variant Y115W ofereix una sonda útil per tal de seguir la cinètica de plegament/desplegament de l'RNasa A.

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Introdução: Uma dieta do tipo mediterrânico associada a exercício físico pode ser uma estratégia eficaz na prevenção da obesidade e de co-morbilidades associadas. Objectivo: Este estudo pretendeu determinar a associação entre um programa de intervenção, constituído por uma dieta do tipo mediterrânico e exercício físico, com alterações em variáveis de composição corporal e metabólicas. Método: 12 mulheres e homens sedentários (32,5±8,74 anos, 1,69±0,11 cm), com excesso de peso (81,9±18,1 kg, 28,5±5,45 kg/m2, 36,1±8,56 % massa gorda) participaram num programa de intervenção de 12 semanas. Foi realizada avaliação da composição corporal, do dispêndio energético, da ingestão energética e de níveis séricos de lípidos em jejum. As sessões de nutrição foram realizadas semanalmente e a dieta apresentou uma distribuição de macronutrientes correspondente a 40-45% de hidratos de carbono, 15-20% de proteína e 30-35% de lípidos. As sessões de exercício foram realizadas 3 vezes por semana, com prescrição para as componentes cardiovascular e de força. Resultados: Os participantes tiveram alterações significativas nas variáveis de peso, perímetro da cintura, massa gorda, dispêndio energético e níveis séricos de colesterol e triglicéridos (p<0,05). A distribuição de macronutrientes da dieta não se alterou com a intervenção alimentar, contudo, o aumento significativo do consumo de PUFA’s revelou-se associado a menores valores de massa gorda e a maiores diferenças nos níveis de triglicéridos (p<0,05). Conclusão: O dispêndio calórico e o consumo de PUFA’s revelaram estar associados a melhorias da composição corporal (massa gorda). Este estudo também conduziu à melhoria das concentrações de colesterol e triglicéridos. No entanto, as melhorias nas concentrações de triglicéridos associaram-se apenas à dieta.

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In their assessment of the proposed European Endowment for Democracy (EED), Hrant Kostanyan and Magdalena Nasieniak conclude that an instrument along the lines currently envisaged could and should take on the challenge to make the EU a truly committed, pro-active and effective leader of democracy assistance. A flexible and fast-track path of assessing needs and granting funds could become the most visible results of the EU’s assistance in this area, delivering almost immediate tangible results. They argue that the EED therefore needs to become an instrument free of nationally-driven decisions, European ‘turf wars’ and cumbersome bureaucracy.

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Reaction Injection Moulding (RIM) is a moulding technology used for the production of large size and complex plastic parts. The RIM process is characterized essentially by the injection of a highly reactive chemical system (usually polyurethane) and fast cure, in a mould properly closed and thermally controlled. Several studies show that rapid manufacturing moulds obtained in epoxy resins for Thermoplastic Injection Moulding (TIM) affect the moulding process and the final properties of parts. The cycle time and mechanical properties of final parts are reduced, due to a low thermal conductivity of epoxy materials. In contrast, the low conductivity of materials usually applied for the rapid manufacturing of RIM moulds, increase the mechanical properties of final injected parts and reduce the cycle time. This study shows the effect of the rapid manufacturing moulds material during the RIM process. Several materials have been tested for rapid manufacturing of RIM moulds and the analysis of both, temperature profile of moulded parts during injection and the cure data experimentally obtained in a mixing and reaction cell, allow to determine and model the real effect of the mould material on the RIM process.

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1. Recent changes in European agricultural policy have led to measures to reverse the loss of species-rich grasslands through the creation of new areas on ex-arable land. Ex-arable soils are often characterized by high inorganic nitrogen (N) levels, which lead to the rapid establishment of annual and fast-growing perennial species during the initial phase of habitat creation. The addition of carbon (C) to the soil has been suggested as a countermeasure to reduce plant-available N and alter competitive interactions among plant species. 2. To test the effect of C addition on habitat creation on ex-arable land, an experiment was set up on two recently abandoned fields in Switzerland and on two 6-year-old restoration sites in the UK. Carbon was added as a mixture of either sugar and sawdust or wood chips and sawdust during a period of 2 years. The effects of C addition on soil parameters and vegetation composition were assessed during the period of C additions and 1 year thereafter. 3. Soil nitrate concentrations were reduced at all sites within weeks of the first C addition, and remained low until cessation of the C additions. The overall effect of C addition on vegetation was a reduction in above-ground biomass and cover. At the Swiss sites, the addition of sugar and sawdust led to a relative increase in legume and forb cover and to a decrease in grass cover. The soil N availability, composition of soil micro-organisms and vegetation characteristics continued to be affected after cessation of C additions. 4. Synthesis and applications. The results suggest that C addition in grassland restoration is a useful management method to reduce N availability on ex-arable land. Carbon addition alters the vegetation composition by creating gaps in the vegetation that facilitates the establishment of late-seral plant species, and is most effective when started immediately after the abandonment of arable fields and applied over several years.

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A new class of ionophore consisting of two calix[4]arene units linked through the lower rim by two ethylene chains, in combination with propyl ether and phenolic functional groups, has been developed. These calix[4]semitube molecules exhibit remarkable selectivity and fast complexation kinetics for potassium over all Group 1 metal cations. Molecular modelling studies, using structural models derived from crystallographic data, suggest the potassium cation is complexed by a horizontal, side-on route and not through the calix[4]arene annulus. The length of the bridging alkylene chain between the respective calix[4]arenes of the semitube structure dictates the strength and selectivity of alkali metal cation binding.