Global ETD Search

311	Optimization framework for large-scale sparse blind source separation / Stratégies d'optimisation pour la séparation aveugle de sources parcimonieuses grande échelle Kervazo, Christophe 04 October 2019 (has links) Lors des dernières décennies, la Séparation Aveugle de Sources (BSS) est devenue un outil de premier plan pour le traitement de données multi-valuées. L’objectif de ce doctorat est cependant d’étudier les cas grande échelle, pour lesquels la plupart des algorithmes classiques obtiennent des performances dégradées. Ce document s’articule en quatre parties, traitant chacune un aspect du problème: i) l’introduction d’algorithmes robustes de BSS parcimonieuse ne nécessitant qu’un seul lancement (malgré un choix d’hyper-paramètres délicat) et fortement étayés mathématiquement; ii) la proposition d’une méthode permettant de maintenir une haute qualité de séparation malgré un nombre de sources important: iii) la modification d’un algorithme classique de BSS parcimonieuse pour l’application sur des données de grandes tailles; et iv) une extension au problème de BSS parcimonieuse non-linéaire. Les méthodes proposées ont été amplement testées, tant sur données simulées que réalistes, pour démontrer leur qualité. Des interprétations détaillées des résultats sont proposées. / During the last decades, Blind Source Separation (BSS) has become a key analysis tool to study multi-valued data. The objective of this thesis is however to focus on large-scale settings, for which most classical algorithms fail. More specifically, it is subdivided into four sub-problems taking their roots around the large-scale sparse BSS issue: i) introduce a mathematically sound robust sparse BSS algorithm which does not require any relaunch (despite a difficult hyper-parameter choice); ii) introduce a method being able to maintain high quality separations even when a large-number of sources needs to be estimated; iii) make a classical sparse BSS algorithm scalable to large-scale datasets; and iv) an extension to the non-linear sparse BSS problem. The methods we propose are extensively tested on both simulated and realistic experiments to demonstrate their quality. In-depth interpretations of the results are proposed. Représentations Parcimonieuses Optimisation Multi-Convexe Choix de paramètres de régularisation Large-Scale Blind Source Separation Sparse Representations Regularization Parameter Choice Non-Linear Blind Source Separation
312	<b>Automation of the Quality Control Process with the use of robotics and a coordinate Measuring Machine</b> Alexander G Hoang (16677327) 02 August 2023 (has links) <p>The purpose of this research experiment was to explore and implement a cost-effective automation solution into a low volume production line for loading parts onto a coordinate measuring machine (CMM) for dimensional inspection. Quality control practices have historically been separated from production process by inspection routines being performed in a controlled lab. The system demonstrated the possibilities of an in-process automation of the quality control process that was feasible to be implemented for small and mid-sized manufacturing companies. The process involved an APSX horizontal injection mold machine dispensing parts onto the conveyor belt. The conveyor belt was controlled by a Phoenix Contact PLC and two line sensors that provided two stopping point for cooldown before inspection. A MyCobot 320-M5 robotic arm was used to select the part off the line and places it into a fixture on a Hexagon coordinate measuring machine (CMM).</p> Automation engineering Control engineering Manufacturing robotics Engineering design Systems engineering Flexible manufacturing systems Manufacturing safety and quality Quality control - Simulation methods coordinate measuring machine robotic arm application Automation and instrumentation PLC programming cobots Conveyor Automation Systems Conveyors Quality Control Considerations MSMEs PLC process
313	The Effect of Interactive Selection on Personalized Drug Prediction Using Interactomes : Examination of Parameters Impacting Drug Treatment Rankings from Network Models for Covid-19 Patients / Personlig läkemedelsprediktion och inverkan av interaktivt urvalgenom användning av interaktom : Undersökning av olika parametrars påverkan påläkemedelsrekommendationer från nätverksmodeller för patienter med Covid-19 Torell, Cornelia January 2023 (has links) Patients not responding to therapy as expected is one of the most pressing healthcare concerns of today. It causes economical, medical and societal issues along with suffering for patients. This project aimed to address this problem and evaluate how to find the best suited drug treatments for individual patients to treat Covid-19. This project was carried out in collaboration with the company AB Mavatar, that have two networks, one experimental and one predicted, which produce drug treatment rankings differently. Different methods are used to connect drug targets to disease associated genes and thus evaluate what drugs are best suited for specific patients to treat Covid-19. The aim of this project is to examine how network, method and drug category affect the ranking of a drug treatment for four mapped Covid-19 patients. Which drug category a drug belongs to did not seem to significantly affect the drug ranking. Yet, certain drug subcategories were closely correlated. However, these subcategories were not those that are typically associated with Covid-19. The method used to connect drug targets to disease associated genes heavily impacts the ranking of the drug treatment. The methods should be further evaluated to see if some should be excluded or weighted less in drug ranking calculations. The two networks are similar in how they rank different drugs, especially in severely ill patients. Through this project and the evaluation of the impact of method choice, one can start to figure out what should be prioritized among disease related changes. Also, important parameters for personalized treatment can be evaluated. / Patienter som inte svarar på terapi som förväntat är en av de största utmaningarna inom hälso- och sjukvård idag. Det orsakar ekonomiska, medicinska och samhälleliga problem samt lidande för patienter. Det här projektet adresserade detta problem och evaluerade hur man kan hitta det bäst lämpade läkemedlet för specifika patienter för att behandla Covid-19. Projektet gjordes tillsammans med företaget AB Mavatar, som har två interaktom, en experimentell och en datadriven, som rangordnar läkemedelsrekommendationer på olika sätt. Olika metoder används för att koppla samman läkemedelsmål med sjukdomsrelaterade gener och således evaluera vilka läkemedel som är bäst lämpade för specifika patienter för behandling av Covid-19. Syftet med projektet var att undersöka hur nätverk, metod och läkemedelskategori påverkar hur läkemedel rangordnas för fyra kartlagda Covid-19-patienter. Vilken läkemedelskategori ett läkemedel tillhör tycks inte märkbart påverka läkemedelsrangordning. Trots detta var vissa läkemedelsunderkategorier nära korrelerade. Dock var dessa underkategorier inte typiskt associerade med Covid-19. Metoden för att koppla samman läkemedelsmål med sjukdomsassocierade gener påverkade läkemedelsrangordningen väsentligt. Metoderna borde dock evalueras ytterligare för att eventuellt exkludera eller vikta vissa mindre i uträkningar av läkemedelsrang. De två nätverken är lika i hur de rangordnar olika läkemedel, särskilt för svårt sjuka patienter. Genom detta projekt och genom evaluering av metodvalets påverkan kan man börja begripa hur man borde priorita bland sjukdomsrelaterade förändringar. Dessutom kunde viktiga parametrar inom personlig behandling evalueras. Precision Medicine Pharmacogenomics Biomarkers Covid-19 Digital Twins Network Modeling Interactomes Protein-Protein Interaction Networks Differentially Expressed Genes Principal Coordinate Analysis Precisionsmedicin Farmakogenetik Biomarkörer Covid-19 Digitala tvillingar Nätverksmodellering Interaktom Proteininteraktionsnätverk Sjukdomsrelaterade gener Principalkoordinatanalys Medical Engineering Medicinteknik
314	EFFICIENTNEXT: EFFICIENTNET FOR EMBEDDED SYSTEMS Abhishek Rajendra Deokar (12456477) 12 July 2022 (has links) <p>Convolutional Neural Networks have come a long way since AlexNet. Each year the limits of the state of the art are being pushed to new levels. EfficientNet pushed the performance metrics to a new high and EfficientNetV2 even more so. Even so, architectures for mobile applications can benefit from improved accuracy and reduced model footprint. The classic Inverted Residual block has been the foundation upon which most mobile networks seek to improve. EfficientNet architecture is built using the same Inverted Residual block. In this paper we experiment with Harmonious Bottlenecks in place of the Inverted Residuals to observe a reduction in the number of parameters and improvement in accuracy. The designed network is then deployed on the NXP i.MX 8M Mini board for Image classification.</p> Digital processor architectures Convolutional Neural Network Coordinate Attention Adaptive Sharpness Aware Minimization Harmonious Bottleneck Sandglass Bottleneck Inverted Residual Fused-MBConv CIFAR-10 NXP i.MX 8M Mini GELUs activation function Computer Engineering
315	Investigation of the biophysical basis for cell organelle morphology Mayer, Jürgen 09 February 2010 (has links) (PDF) It is known that fission yeast Schizosaccharomyces pombe maintains its nuclear envelope during mitosis and it undergoes an interesting shape change during cell division - from a spherical via an ellipsoidal and a peanut-like to a dumb-bell shape. However, the biomechanical system behind this amazing transformation is still not understood. What we know is, that the shape must change due to forces acting on the membrane surrounding the nucleus and the microtubule based mitotic spindle is thought to play a key role. To estimate the locations and directions of the forces, the shape of the nucleus was recorded by confocal light microscopy. But such data is often inhomogeneously labeled with gaps in the boundary, making classical segmentation impractical. In order to accurately determine the shape we developed a global parametric shape description method, based on a Fourier coordinate expansion. The method implicitly assumes a closed and smooth surface. We will calculate the geometrical properties of the 2-dimensional shape and extend it to 3-dimensional properties, assuming rotational symmetry. Using a mechanical model for the lipid bilayer and the so called Helfrich-Canham free energy we want to calculate the minimum energy shape while respecting system-specific constraints to the surface and the enclosed volume. Comparing it with the observed shape leads to the forces. This provides the needed research tools to study forces based on images. morphology nucleus shape energy bending energy shape analysis Fourier series Fourier coordinate expansion data reduction elliptic approximation harmonic truncation pareto optimality Helfrich-Canham free energy fission yeast microtubules Schizosaccharomyces pombe mitosis confocal microscopy image analysis Morphologie Zellkern Konturenergie Biegeenergie Formanalyse Fourier-Serien Koordinatenweise Fourier-Entwicklung Datenreduktion elliptische Näherung harmonische Analyse pareto-Optimierung freie Energie nach Helfrich und Canham Mikrotubuli Mitose konfokale Mikroskopie Bildanalyse ddc:570 rvk:WD 2300 rvk:WC 7000 rvk:WE 5300
316	Analýza silového zatížení řezného nástroje při pětiosém frézování / Cutting force analysis when 5-axis milling Dvořáček, Jan January 2009 (has links) The diploma thesis is focused on machining using the ball-end shank mill. Content of the preliminary part of the work is a shank mill characteristic and a consequent part shows a splitting of ball-end milling cutters, its application, the cutting tool geometry and a characteristic signs of machining. The cutting force model of the ball-end mill is presented as well. A part of proposed model is the conversion of the resultant force too. Practical part is aimed at cutting force analysis of the ball-end mill and the main purpose of this part is a quantification of the cutting force for different work piece tilt angles while milling is performed.
317	Investigation of the biophysical basis for cell organelle morphology Mayer, Jürgen 12 February 2008 (has links) It is known that fission yeast Schizosaccharomyces pombe maintains its nuclear envelope during mitosis and it undergoes an interesting shape change during cell division - from a spherical via an ellipsoidal and a peanut-like to a dumb-bell shape. However, the biomechanical system behind this amazing transformation is still not understood. What we know is, that the shape must change due to forces acting on the membrane surrounding the nucleus and the microtubule based mitotic spindle is thought to play a key role. To estimate the locations and directions of the forces, the shape of the nucleus was recorded by confocal light microscopy. But such data is often inhomogeneously labeled with gaps in the boundary, making classical segmentation impractical. In order to accurately determine the shape we developed a global parametric shape description method, based on a Fourier coordinate expansion. The method implicitly assumes a closed and smooth surface. We will calculate the geometrical properties of the 2-dimensional shape and extend it to 3-dimensional properties, assuming rotational symmetry. Using a mechanical model for the lipid bilayer and the so called Helfrich-Canham free energy we want to calculate the minimum energy shape while respecting system-specific constraints to the surface and the enclosed volume. Comparing it with the observed shape leads to the forces. This provides the needed research tools to study forces based on images. info:eu-repo/classification/ddc/570 ddc:570
318	Channel Modeling Applied to Robust Automatic Speech Recognition Sklar, Alexander Gabriel 01 January 2007 (has links) In automatic speech recognition systems (ASRs), training is a critical phase to the system?s success. Communication media, either analog (such as analog landline phones) or digital (VoIP) distort the speaker?s speech signal often in very complex ways: linear distortion occurs in all channels, either in the magnitude or phase spectrum. Non-linear but time-invariant distortion will always appear in all real systems. In digital systems we also have network effects which will produce packet losses and delays and repeated packets. Finally, one cannot really assert what path a signal will take, and so having error or distortion in between is almost a certainty. The channel introduces an acoustical mismatch between the speaker's signal and the trained data in the ASR, which results in poor recognition performance. The approach so far, has been to try to undo the havoc produced by the channels, i.e. compensate for the channel's behavior. In this thesis, we try to characterize the effects of different transmission media and use that as an inexpensive and repeatable way to train ASR systems.
319	Individual Approaches in Rich Learning Situations Material-based Learning with Pinboards Katzenbach, Michael 02 May 2012 (has links) (PDF) Active Approaches provide chances for individual, comprehension-oriented learning and can facilitate the acquirement of general mathematical competencies. Using the example of pinboards, which were developed for different areas of the secondary level, workshop participants experience, discuss and further develop learning tasks, which can be used for free activities, for material based concept formation, for coping with heterogeneity, for intelligent exercises, as tool for the presentation of students’ work and as basis for games. The material also allows some continuous movements and can thus prepare an insightful usage of dynamic geometry programs. Central Part of the workshop is a work-sharing group work with learning tasks for grades 5 to 8. The workshop will close with a discussion of general aspects of material-based learning. Individuelle Zugänge Lernumgebung Individualisierung verständnisorientiert Steckbrett Heterogenität Intelligente Übung Dynamische Geometrie Kreativität Präsentation Freiarbeit Koordinatensystem Symmetrie Funktion Bruchrechnung materialgestützt individuell Kommunikation Entdecken Vermuten Operative Serie Horizontale Vernetzung Vertikale Vernetzung Selbstkontrolle Eigenverantwortung Grundvorstellung Transfer Mentale Operation Kompetenz Experimentell Fehlende Werte Reichhaltige Lernumgebung Individual Approach Learning environment Individualization Comprehension-oriented Pinboard Heterogeneity Intelligent exercise Dynamic geometry Creativity Presentation Coordinate system Symmetry Function Fraction Material-based Individual Communication Discover Presume Structured series horizontal integration Vertical integration Self-control Self-responsibility Basic concept Transfer Mental operation Competency experimental Missing data Richlearning situation ddc:510 rvk:SD 2009
320	Individual Approaches in Rich Learning Situations Material-based Learning with Pinboards Katzenbach, Michael 02 May 2012 (has links) Active Approaches provide chances for individual, comprehension-oriented learning and can facilitate the acquirement of general mathematical competencies. Using the example of pinboards, which were developed for different areas of the secondary level, workshop participants experience, discuss and further develop learning tasks, which can be used for free activities, for material based concept formation, for coping with heterogeneity, for intelligent exercises, as tool for the presentation of students’ work and as basis for games. The material also allows some continuous movements and can thus prepare an insightful usage of dynamic geometry programs. Central Part of the workshop is a work-sharing group work with learning tasks for grades 5 to 8. The workshop will close with a discussion of general aspects of material-based learning. info:eu-repo/classification/ddc/510 ddc:510

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