WorldCat Identities

Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (Strasbourg)

Works: 283 works in 284 publications in 2 languages and 534 library holdings
Genres: Conference papers and proceedings 
Roles: Other
Classifications: TK7874, 620
Publication Timeline
Most widely held works by de l'informatique et de l'imagerie (Strasbourg) Laboratoire des sciences de l'ingénieur
2017 IEEE 15th International NEW Circuits and Systems Conference (NEWCAS) : conference proceedings : June 25-28, Strasbourg, France by International IEEE-NEWCAS Conference( )

1 edition published in 2017 in English and held by 250 WorldCat member libraries worldwide

IEEE International NEWCAS Conference is tailored to reflect the wide spectrum of topics and research interests shared among the organizing entities This collaboration will be oriented towards advanced research and development activities from academia, research institutions, and industry Topics include, but are not limited to analog, mixed signal, and digital integrated circuits and systems, radio frequency circuits, computer architecture and memories, microsystems, sensors and actuators, test and verification, telecommunication, technology trends, power and energy circuits and systems, biomedical circuits, energy harvesting, computer aided design tools, device modeling, and embedded portable devices
Simulation biomécanique sous contraintes du cerveau pour la compensation per-opératoire du brain-shift by Fanny Morin( )

1 edition published in 2017 in French and held by 2 WorldCat member libraries worldwide

Purpose: During brain tumor surgery, planning and guidance are based on preoperative MR exams. The intraoperative deformation of the brain, called brain-shift, however affect the accuracy of the procedure. In this thesis, a brain-shift compensation method integrable in a surgical workflow is presented.Method: Prior to surgery, a patient-specific biomechanical model is built frompreoperative images. The geometry of the tissues and blood vessels is integrated. Intraoperatively, navigated ultrasound images are performed directly in contact with the brain. B-mode and Doppler modalities are recorded simultaneously, enabling the extraction of the blood vessels and probe footprint, respectively. A biomechanical simulation is then executed in order to compensate for brain-shift. Several constraints are imposed to the biomechanical model in order to simulate the contacts with the dura mater, register the pre- and intraoperative vascular trees and constrain the cortical surface with the probe footprint. During deep tumors resection, the surgical trajectory is also constrained to remain inside the cavity induced by the resected tissues in order to capture the lateral deformations issued from tissues retraction. Preoperative MR images are finally updated following the deformation field of the biomechanical model.Results: The method was evaluated quantitatively using synthetic and clinical data. In addition, the alignment of the images was qualitatively assessed with respect to surgeons expectations. Satisfactory results, with errors in the magnitude of 2 mm, are obtained after the opening of the dura mater and for the resection of tumors close to the cortical surface. During the resection of deep tumors, while the surgical trajectory enable to capture most of the deformations induced by tissues retraction, several limitations reflects the fact that this retraction is not actually simulated.Conclusion: A new efficient brain-shift compensation method that is integrable in an operating room is proposed in this thesis. The few studied topic of the resection, and more specifically of deep tumors, is also addressed. This manuscript thus present an additional step towards an optimal system in computer assisted neurosurgery
Concept de robot à tube concentrique magnétique : introduction et analyse : application aux interventions minimalement invasives by Quentin Peyron( )

2 editions published in 2019 in French and held by 2 WorldCat member libraries worldwide

In the context of ANR NEMRO project and of the rapprochement between the Labex ACTION and Labex CAMI, the AVR team from ICube and the MiNaRoB team of FEMTO-ST institute collaborate in order to propose a robotic system of millimetre scale, with a high dexterity for olfactory cells inspection, whose technological parts could be used for the Démonstrateur 4 of Labex ACTION (active OCT endomicroscope). The objectives of this PhD are the following: - proposition of innovative technological solutions - navigation in olfactory mucosa, without contact with nasal walls - design of an ergonomic clinician-robot interface - application to fast acquisition of OCT volumes - transfer of the relevant results to the Démonstrateur 4 - performance analysis under realistic conditions
Etudes expérimentales et numériques de systèmes de micro cogénération couplés aux bâtiments d'habitation et au réseau électrique by Jean-Baptiste Bouvenot( )

1 edition published in 2015 in French and held by 1 WorldCat member library worldwide

Micro combined heat and power (µCHP) or cogeneration means the simultaneous generation of two energy types. In energetic fields, this term refers usually to the simultaneous production of electricity and heat: the principle being based on the recovering of the fatal heat induced by the electricity production processes.Firstly, two test benches were carried out on two µCHP prototypes: a gas Stirling engine and a wood pellets steam engine. Experimental investigations were conducted to characterize each system at energy and environmental levels. The experimental results led two dynamic and semi physical numerical models of µCHP systems programmed in the numerical tool TRNSYS where a numerical platform has been developed. This platform integrates mainly energy storage systems models, stochastic energy needs file generators and innovative management strategy of systems and energy loads according to precision and realism criteria.This platform allows assessing realistic energy, environmental and economic relevance of µCHP systems coupled with dwelling buildings and the power grid according to different configurations
Inventive solutions retrieval from patent documents via natural language processing by Xin Ni( )

1 edition published in 2021 in English and held by 1 WorldCat member library worldwide

In order to automate the inventive problem-solving knowledge retrieval contained in patent documents by using Natural Language Processing (NLP) techniques. We propose three main contributions: i) two similar problem retrieval models called IDM-Similar based on Word2vec neural networks and SAMIDM based on LSTM neural networks are proposed to retrieve similar problems from different domains patents; ii) a problem-solution matching model named IDM-Matching according to XLNet neural networks is proposed to build connections between problems and solutions in patent documents; iii) an inventive solutions ranking model called PatRIS based on multiple criteria decision analysis approach is proposed to rank potential inventive solutions. These models have been evaluated on both benchmark and real-world patent datasets
Self-organizing map quantization error approach for detecting temporal variations in image sets by John Mwangi Wandeto( )

1 edition published in 2018 in English and held by 1 WorldCat member library worldwide

A new approach for image processing, dubbed SOM-QE, that exploits the quantization error (QE) from self-organizing maps (SOM) is proposed in this thesis. SOM produce low-dimensional discrete representations of high-dimensional input data. QE is determined from the results of the unsupervised learning process of SOM and the input data. SOM-QE from a time-series of images can be used as an indicator of changes in the time series. To set-up SOM, a map size, the neighbourhood distance, the learning rate and the number of iterations in the learning process are determined. The combination of these parameters that gives the lowest value of QE, is taken to be the optimal parameter set and it is used to transform the dataset. This has been the use of QE. The novelty in SOM-QE technique is fourfold: first, in the usage. SOM-QE employs a SOM to determine QE for different images - typically, in a time series dataset - unlike the traditional usage where different SOMs are applied on one dataset. Secondly, the SOM-QE value is introduced as a measure of uniformity within the image. Thirdly, the SOM-QE value becomes a special, unique label for the image within the dataset and fourthly, this label is used to track changes that occur in subsequent images of the same scene. Thus, SOM-QE provides a measure of variations within the image at an instance in time, and when compared with the values from subsequent images of the same scene, it reveals a transient visualization of changes in the scene of study. In this research the approach was applied to artificial, medical and geographic imagery to demonstrate its performance. Changes that occur in geographic scenes of interest, such as new buildings being put up in a city or lesions receding in medical images are of interest to scientists and engineers. The SOM-QE technique provides a new way for automatic detection of growth in urban spaces or the progressions of diseases, giving timely information for appropriate planning or treatment. In this work, it is demonstrated that SOM-QE can capture very small changes in images. Results also confirm it to be fast and less computationally expensive in discriminating between changed and unchanged contents in large image datasets. Pearson's correlation confirmed that there was statistically significant correlations between SOM-QE values and the actual ground truth data. On evaluation, this technique performed better compared to other existing approaches. This work is important as it introduces a new way of looking at fast, automatic change detection even when dealing with small local changes within images. It also introduces a new method of determining QE, and the data it generates can be used to predict changes in a time series dataset
Multiscale modeling of thermal and mechanical properties of nanostructured materials and polymer nanocomposites by Bohayra Mortazavi( )

1 edition published in 2013 in English and held by 1 WorldCat member library worldwide

Nanostructured materials are gaining an ongoing demand because of their exceptional chemical and physical properties. Due to complexities and costs of experimental studies at nanoscale, computer simulations are getting more attractive asexperimental alternatives. In this PhD work, we tried to use combination of atomistic simulations and continuum modeling for the evaluation of thermal conductivity and elastic stiffness of nanostructured materials. We used molecular dynamics simulations to probe and investigate the thermal and mechanical response of materials at nanoscale. The finite element and micromechanics methods that are on the basis of continuum mechanics theories were used to evaluate the bulk properties of materials. The predicted properties are then compared with existing experimental results
3D Modelling of air pollution at urban scale by Nicolas Reiminger( )

1 edition published in 2020 in English and held by 1 WorldCat member library worldwide

The aim of this thesis is the development and the validation of Computational Fluid Dynamics (CFD) solvers and new methodologies to assess air quality in urban areas. To do so, the Unsteady Reynolds-Averaged Navier-Stokes methodology (URANS) is chosen and two new solvers are built. It includes a Forced Convection Solver (FCS) for neutral atmospheres modelling and a Mixed Convection Solver (MCS) for stable and unstable atmospheres modelling where other important phenomena such as the effects of vegetation are also considered. The results of these solvers were compared to seven test cases including wind tunnel and in-situ experiments which show that an error of less than 10% can be expected on modelled concentrations, but also that indoor/outdoor exchange can be efficiently modelled. The issue of computational domain including domain extension, meshing, boundary conditions emissions and background concentrations for air quality modelling in urban areas are dealt in an improvement approach, especially in the engineering context. Numerous new methodologies are developed and validated, and their limits assessed including methodologies to assess nitrogen dioxide concentrations based on nitrogen oxides concentrations, to assess continuous wind distributions based on discrete data such as given by wind roses or to assess mean annual concentration based on punctual numerical results. The interest and potential of such numerical models and methodologies is lastly highlighted and examples of application for the purpose of design, understanding and diagnosis are presented
Outils numériques pour la conception de mécanismes by Gauthier Hentz( )

1 edition published in 2017 in French and held by 1 WorldCat member library worldwide

In the medical and surgical background, robotics can be of great interest for safer and more accurate procedures. Size constraints are however strong and complex movements may be necessary. To date, the design of dedicated non-conventional mechanisms is then a difficult task because of a lack of generic tools allowing a fast evaluation of their performances. This thesis combines higher-order continuation and automatic differentiation to adress this issue through the introduction of a generic modelling method and a generic formalism for mechanism design. Our contributions especially concern the development of numerical tools for the evaluation of the workspace, of the singularity localization and nature, and for a higher-order sensitivity analysis. These tools are evaluated on reference mechanisms
Méthode d'évaluation des systèmes de retenue des enfants dans un environnement automobile by Bérenger Le Tellier( )

1 edition published in 2017 in French and held by 1 WorldCat member library worldwide

Suite à l'évolution de la réglementation relative aux dispositifs de retenue pour enfants en juillet 2013, une campagne d'évaluation expérimentale a permis de constater que la situation des plus jeunes impliqués dans un choc latéral était particulièrement critique. Pour y remédier, une méthodologie originale a été développée dans le but de dimensionner les matériaux d'absorption d'énergie « idéaux » à intégrer aux sièges-auto au niveau des zones d'impact de la tête, de l'épaule et du bassin. Une étude paramétrique basée sur ce concept a alors consisté à piloter la retenue de ces trois segments corporels dans le but de minimiser, soit les critères réglementaires (mannequins Q0 et Q1), soit les critères biomécaniques (modèle hybride Q0-6WOC). Les recommandations issues de cette étude ont ensuite été appliquées à un dispositif de retenue existant afin de l'optimiser en choc latéral. Après avoir vérifié que les valeurs d'accélération linéaire résultante de la tête et de HPC étaient bien inférieures aux seuils imposés par la réglementation, un modèle par Eléments Finis (EF) du siège-auto optimisé a été développé puis validé en situation dynamique. Finalement, après couplage de ce modèle EF du dispositif de retenue optimisé avec le modèle hybride Q0-6WOC, il a été montré que les résultats de simulation numérique en choc latéral étaient deux fois plus faibles que ceux obtenus avec le dispositif de retenue de référence
Codes circulaires dans l'évolution du code génétique by Martin Starman( )

1 edition published in 2020 in English and held by 1 WorldCat member library worldwide

The problem that this work addresses is how to retrieve, maintain and synchronize the correct reading frame during the translation process. Translation is the process by which the ribosome decodes the messenger RNA (sequence of nucleotides {A,C,G,T}) as codons (word of 3 nucleotides) to create a specific amino acid chain. Unfortunately, the mRNA can be decoded in three reading frames 0, +1 and +2. Yet, only frame 0 as correct reading frame encodes the Information for the synthesis of proteins. First practical evidence of a genetic model which is able to retrieve the correct reading frame is the so-called X-code. Astonishingly, it turned out that the X-code is a circular code. The advantages of circular genetic codes are incomparable. In this work I introduce new properties. Based on these properties I present a hypothetical guiding line which can help to discover the evolution of protein synthesis
Allocation dynamique sur cloud IaaS : allocation dynamique d'infrastructure de SI sur plateforme de cloud avec maîtrise du compromis coûts/performances by Etienne Michon( )

1 edition published in 2015 in French and held by 1 WorldCat member library worldwide

In the field of cloud computing, IaaS provide virtualized on-demand computing resources on a pay-per-use model. From the user point of view, the cloud provides an inexhaustible supply of resources, which can be dynamically claimed and released. IaaS is especially useful to execute scientific computations using operating budget instead of using a big initial investment. Provisioning the resources depending on the workload is an important challenge, especially regarding the big number of jobs and resoruces to take into account, but also the large amount of available platforms and economic model. We advocate the need for brokers on the client-side with two main capabilities: (1) automate the provisioning depending on the strategy selected by the user and (2) able to simulate an execution in order to provide the user with an estimation of the costs and times of his workload's execution. Many provisioning strategies and cloud providers can be used in this broker thanks to its open architecture. Large scale experiments have been conducted on many cloud platforms and show our tool's ability to execute different kind of workloads on various platforms and to simulate these executions with high accuracy
Development of novel tools based on patient-specific models for guidance and education in orthognathic surgery by Jean-Christophe Lutz( )

1 edition published in 2017 in English and held by 1 WorldCat member library worldwide

Notre pratique courante de la chirurgie orthognathique se heurte aux limites des outils standard de planification et de simulation ainsi qu'à l'absence d'assistance peropératoire. L'objectif de notre travail était de développer de nouveaux outils répondant à cette problématique. Ainsi, dans un premier temps, un algorithme de segmentation semi-automatique a permis une modélisation 3D patient-spécifique rapide et précise. Nous avons ensuite élaboré un logiciel de simulation des parties molles fondé sur un modèle mécanique de type masse-ressort permettant une précision millimétrique. Enfin, nous avons conçu un système de navigation temps-réel fondé sur un guidage électromagnétique mini-invasif doté d'une interface utilisateur intuitive. Son évaluation a montré une réduction de la variabilité inter-opérateurs. En plus de son caractère pédagogique, ce système bénéficiait particulièrement aux débutants. Les chirurgiens ont souligné l'intérêt de ce système, tant pour les dysmorphoses complexes que pour les cas de routine. Ces développements constituent ainsi une suite logicielle susceptible d'améliorer la qualité de prise en charge des patients
3D detection and pose estimation of medical staff in operating rooms using RGB-D images by Abdolrahim Kadkhodamohammadi( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

In this thesis, we address the two problems of person detection and pose estimation in Operating Rooms (ORs), which are key ingredients in the development of surgical assistance applications. We perceive the OR using compact RGB-D cameras that can be conveniently integrated in the room. These sensors provide complementary information about the scene, which enables us to develop methods that can cope with numerous challenges present in the OR, e.g. clutter, textureless surfaces and occlusions. We present novel part-based approaches that take advantage of depth, multi-view and temporal information to construct robust human detection and pose estimation models. Evaluation is performed on new single- and multi-view datasets recorded in operating rooms. We demonstrate very promising results and show that our approaches outperform state-of-the-art methods on this challenging data acquired during real surgeries
Evaluation de la qualité des modèles 3D de bâtiments en photogrammétrie numérique aérienne by Mostafa Mohamed( )

1 edition published in 2013 in English and held by 1 WorldCat member library worldwide

Methods and tools for automatic or semi-automatic generation of 3D city models are developing rapidly, but the quality assessment of these models and spatial data are rarely addressed. A comprehensive evaluation in 3D is not trivial. Our goal is to provide a standard multidimensional approach for assessing the quality of 3D models of buildings in 1D, 2D and 3D. Two methods are applied. The first one is done by computing Root Mean Square Errors (RMSE) based on the deviations between both models (reference and test), in X, Y and Z directions. Second method is performed by applying the French legal text (arrêté sur les classes de précision) that is based on the instructions published in the Official Journal from October 30, 2003. These indices pass through the space discretization in pixels or voxels for measuring the degree of superposition of 2D or 3D objects. The originality of this approach is built on the fact that the models used as input are not only limited to raster format, but also extended to vector format. The results of statistics of the quality indices calculated for assessing the building models show that the 3D building models extracted from stereo-pairs are close from each other. Also, the models reconstructed from LiDAR are less accurate than the models reconstructed from aerial images alone. In conclusion, the quality evaluation of 3D building models has been achieved by applying the proposed multi-dimensional approach. This approach is suitable for simplified 3D building vector models created from aerial images and/or LiDAR datasets
Modélisation de formes 3D par les graphes pour leur reconnaissance : application à la vision 3D en robotique dans des tâches de "Pick-and-Place by Pierre Willaume( )

1 edition published in 2017 in French and held by 1 WorldCat member library worldwide

The aim of this thesis is to design an automatic system involving one or several cameras capable of detecting in three dimensions a set of abjects placed in a bin. To do this, we must model, recognize and locate shapes in an image. First, we propose a solution to optimize the camera calibration system. This is an essential task for the retrieval of quantitative information about the captured images. However, the current methods require specific skills in image processing, which are not always available in industry. We propose to automate and optimize the calibration system by eliminating the selection of images by the operator. Second, we propose to improve the detection systems for thin and featureless abjects. Finally, we propose to adapt evolutionary algorithms to optimize search times
Modèles déformables contraints en reconstruction d'images de tomographie non linéaire par temps d'arrivée by Gil Gaullier( )

1 edition published in 2013 in French and held by 1 WorldCat member library worldwide

La reconstruction tomographique par temps de première arrivée est rendue difficile par son caractère mal posé et par la non-linéarité du problème direct associé. Dans cette thèse, on se propose d'employer un modèle déformable, permettant d'introduire un a priori global sur la forme des objets à reconstruire, pour obtenir des solutions plus stables et de meilleure qualité. Dans un premier temps, nous introduisons des contraintes de forme de haut niveau en reconstruction tomographique d'émission, modalité où le problème direct est linéaire. Dans un second temps, différentes stratégies de résolution du problème non linéaire de reconstruction en temps d'arrivée sont envisagées. La solution retenue approche le problème direct par une suite de problèmes linéaires, conduisant à un algorithme par minimisations successives simples, au coursdesquelles l'a priori de forme est introduit. L'efficacité de la méthode est montrée en simulation et à partir de données réelles, acquises sur un banc développé par l'IFSTTAR pour le contrôle non destructif de structures de génie civil
Relevé et consolidation de nuages de points issus de multiples capteurs pour la numérisation 3D du patrimoine by Elise Lachat( )

1 edition published in 2019 in French and held by 1 WorldCat member library worldwide

Three dimensional digitization of built heritage is involved in a wide range of applications (documentation, visualization, etc.), and may take advantage of the diversity of measurement techniques available. In order to improve the completeness as well as the quality of deliverables, more and more digitization projects rely on the combination of data coming from different sensors. To this end, the knowledge of sensor performances along with the quality of the measurements they produce is recommended. Then, different solutions can be investigated to integrate heterogeneous point clouds within a same project, from their registration to the modeling steps. A global approach for the simultaneous registration of multiple point clouds is proposed in this work, where the introduction of individual weights for each dataset is foreseen. Moreover, robust estimators are introduced in the registration framework, in order to deal with potential outliers or measurement noise among the data
Modélisation statistique de tenseurs d'ordre supérieur en imagerie par résonance magnétique de diffusion by Theodosios Gkamas( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

L'IRMd est un moyen non invasif permettant d'étudier in vivo la structure des fibres nerveuses du cerveau. Dans cette thèse, nous modélisons des données IRMd à l'aide de tenseurs d'ordre 4 (T4). Les problèmes de comparaison de groupes ou d'individu avec un groupe normal sont abordés, et résolus à l'aide d'analyses statistiques sur les T4s. Les approches utilisent des réductions non linéaires de dimension, et bénéficient des métriques non euclidiennes pour les T4s. Les statistiques sont calculées dans l'espace réduit, et permettent de quantifier la dissimilarité entre le groupe (ou l'individu) d'intérêt et le groupe de référence. Les approches proposées sont appliquées à la neuromyélite optique et aux patients atteints de locked in syndrome. Les conclusions tirées sont cohérentes avec les connaissances médicales actuelles
Sédimentation des boues activées en système fermé : de l'investigation expérimentale à l'aide d'un transducteur ultrasonore à la modélisation 1 D, l'analyse de sensibilité et l'identification de paramètres by Florent Locatelli( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

This work deals with the experimental investigation and modelling of activated sludge settling. An experimental setup combining a settling column and an ultrasonic transducer is proposed. Settling velocity and concentration profiles are obtained using this setup, allowing for a better understanding of the mechanisms of activated sludge settling. These results are applied to the development of a numerical approach. A settling model using experimental functions is built. A methodology based on the automatic differentiation of the model is developed. This methodology is used, on the one hand, to analyse the sensitivity of the results to the model parameters and, on the other hand, to identify the parameter values on the basis of experimental data. The combination of the proposed experimental and numerical methods yields an efficient process for the development of sedimentation models
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Alternative Names

ICube Laboratory

Laboratoire des sciences de l'ingénieur de l'informatique et de l'imagerie facility in Illkirch-Graffenstaden, France

Laboratoire ICube

UMR 7357

English (11)

French (10)