Towards a Decoupled Context-Oriented Programming Language for the Internet of Things

Easily programming behaviors is one major issue of a large and reconfigurable deployment in the Internet of Things. Such kind of devices often requires to externalize part of their behavior such as the sensing, the data aggregation or the code offloading. Most existing context-oriented programming languages integrate in the same class or close layers the whole behavior. We propose to abstract and separate the context tracking from the decision process, and to use event-based handlers to interconnect them. We keep a very easy declarative and non-layered programming model. We illustrate by defining an extension to Golo-a JVM-based dynamic language

A unified framework for detecting groups and application to shape recognition

A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is that meaningful clusters can contain or be contained in other meaningful clusters. A rule is needed to define locally optimal clusters by inclusion. The third problem is the definition of a correct merging rule between meaningful clusters, permitting to decide whether they should stay separate or unit. The motivation of this theory is shape recognition. Matching algorithms usually compute correspondences between more or less local features (called shape elements) between images to be compared. This paper intends to form spatially coherent groups between matching shape elements into a shape. Each pair of matching shape elements indeed leads to a unique transformation (similarity or affine map.) As an application, the present theory on the choice of the right clusters is used to group these shape elements into shapes by detecting clusters in the transformation space

Coupling Continuous and Discontinuous Descriptions to Model First Body Deformation in Third Body Flows

International audienceThe present paper proposes an extension of the classical discrete element method used to study third body flows. Based on the concept of the tribological triplet proposed by Godet and Berthier, the aim of this work is to enrich description, by accounting for the deformation of the first body and investigating its influence on third-body rheology. To achieve this, a novel hybrid approach that combines continuous and discontinuous descriptions is used. To illustrate the advantage of such modeling, comparisons with the classical approach, which considers the first body as rigid, are performed in terms of macroscopic friction coefficient and velocity and stress profiles

Automatic morphological detection of otolith nucleus

International audienc

Optimization of THz detection by two dimensional plasmons in heterostructures and THz propagation in planar waveguides

Dans la gamme de fréquence térahertz (THz), les sources et les détecteurs couramment utilisés en optique et en électronique présentent une chute de performances. Mon travail de thèse s inscrit dans le cadre de la recherche de composants THz peu onéreux, compacts, accordables en fréquence et facile à intégrer. Le premier volet de mon travail de thèse concerne la détection THz et met à profit le couplage entre une onde incidente THz et des plasmons d un gaz bidimensionnel d électrons (2DEG) via des réseaux métalliques déposés au-dessus d hétérostructures. Quatre puits quantiques à base de semi-conducteurs III/V(AlGaN/GaN, AlGaAs/GaAs, InAlN/GaN) et IV/IV (SiGe/Si/SiGe) ont été étudiés. Parmi les hétérostructures envisagées, celles réalisées à partir de matériaux III-N présentent les plus fortes résonances. Des mesures de spectre de transmission ont été effectuées avec un spectromètre à transformée de Fourier (FTIR) à température ambiante et cryogénique. Les modélisations numériques sont en bon accord avec les résultats expérimentaux. Une étude sur l influence de la distribution homogène ou inhomogène du gaz d électrons 2D est présentée. Le deuxième volet de la thèse concerne l optimisation de la transmission THz. Les performances (dipsersions et les pertes) des guides d'onde planaires sont mal connues au THz. Nous avons choisi d étudier des guides d onde couramment utilisés en hyperfréquence. Dans un premier temps, la dispersion et les pertes (rayonnement, conduction et diélectrique) de lignes coplanaires (CPW) sur substrat polymère (BCB = benzocyclobutène) et substrat semiconducteur (InP) obtenues grâce à des modélisations numériques (Ansoft HFSS) entre 20 GHz et 1 THz sont présentées. Puis d autres types de guides ont été envisagés tels que les lignes micro-ruban, à fente et triplaques sur substrat BCB avec HFSS et CST MWS. Leurs performances ont été comparées afin de dégager la structure la plus performante au THz. Des mesures entre 340 et 500 GHz ont pu aussi être réalisées pour les guides CPW. La comparaison avec les données numériques a montré un bon accord.In the THz frequency gap between electronics and optics, the development of compact, tunable, less costly and room temperature operating sources, detectors, amplifiers and passive devices is growing. Electronic devices based on two dimensional (2D) plasmons in heterostructures open up the possibility of tunable emission and detection of THz radiation. For short distance THz transmission, the increased radiation loss as well as other types of loss (dielectric and ohmic loss) may handicap the applications of conventional planar waveguides well studied in the microwave band. Reevaluation of their propagation properties and comprehension of the physical nature of each kind of loss are necessary.This work is divided into two main sections. The first part deals with the optimization of THz resonant detection by quasi 2D plasmons-polaritons (PP) in the quantum wells (QW) among four heterostructures: III-V (AlGaN/GaN, InAlN/GaN, AlGaAs/GaAs) and IV-IV (SiGe/Si/SiGe). With the aid of metallic grating coupler, both ANSOFT HFSS and an indigenously developed program are used to investigate quantitatively the influences of structural parameters (grating period, metal strip width and thickness of barrier layer) and natural properties of 2D plasmons (electron concentration and mobility) on the PP resonances (frequency and amplitude) up to 5 THz. Transmission spectra of sample AlGaN/GaN have been measured by Fourier Transform Infrared Spectroscopy (FTIR) in 0.6-1.8 THz for various metal widths and at different temperatures to compare with the simulated results. At last, two types of modulated 2D electron gas in AlGaAs/GaAs are analyzed. One is the natural electron variation below and between metal fingers due to the difference between the barrier height at the interface metal/semiconductor and Fermi level pinning at the interface air/semiconductor. The other type is the forced modulated 2DEG by biasing voltage on metal fingers. These two parametric studies allow us to analyze and tune the frequency and amplitude of the THz detection. The second part separately studies the dispersions and attenuations of four waveguides (CPW, Microstrip, Stripline and Slotline) with the variation of geometric dimensions and properties of dielectric and metal by ANSOFT HFSS and CST MWS. Their performances are compared until 1 THz based on the same characteristic impedance. The advantages and the limitations of each waveguide are outlined and an optimal THz transmission line is proposed. Furthermore, preliminary measured attenuation of CPW in the frequency range 340-500 GHz are demonstrated and compared with numerical results. The design of transitions for adapting experimental probes by HFSS and the de-embedding method for extracting scattering and attenuation parameters of CPW by ADS are also presented..PARIS11-SCD-Bib. électronique (914719901) / SudocSudocFranceF

A unified framework for detecting groups and application to shape recognition

A unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is that meaningful clusters can contain or be contained in other meaningful clusters. A rule is needed to define locally optimal clusters by inclusion. The third problem is the definition of a correct merging rule between meaningful clusters, permitting to decide whether they should stay separate or unit. The motivation of this theory is shape recognition. Matching algorithms usually compute correspondences between more or less local features (called shape elements) between images to be compared. This paper intends to form spatially coherent groups between matching shape elements into a shape. Each pair of matching shape elements indeed leads to a unique transformation (similarity or affine map.) As an application, the present theory on the choice of the right clusters is used to group these shape elements into shapes by detecting clusters in the transformation space

A unified framework for detecting groups and application to shape recognition

International audienceA unified a contrario detection method is proposed to solve three classical problems in clustering analysis. The first one is to evaluate the validity of a cluster candidate. The second problem is that meaningful clusters can contain or be contained in other meaningful clusters. A rule is needed to define locally optimal clusters by inclusion. The third problem is the definition of a correct merging rule between meaningful clusters, permitting to decide whether they should stay separate or unite. The motivation of this theory is shape recognition. Matching algorithms usually compute correspondences between more or less local features (called shape elements) between images to be compared. Each pair of matching shape elements leads to a unique transformation (similarity or affine map.) The present theory is used to group these shape elements into shapes by detecting clusters in the transformation space

An a contrario decision framework for motion detection

Motion detection aims at discriminating between moving objects and a static environment. This task can be seen as the grouping of local motion observations into moving objects. The framework we propose is derived from a perceptual grouping principle, namely the Helmholtz principle. It consists in defining an image model in the absence of moving objects instead of modeling the moving objects. This prevents from any complex model design while enforcing the generality of the approach, since there is no prior to specify on the objects to be detected. Detections are then said to be performed a contrario moving regions appear as low probability events in the "no motion" or a contrario model. The modeling framework induced by this approach is compact and handy, since it is simply built on independant identically distributed random variables. Furthermore, computing automatic detection thresholds and attaching a confidence level to each detected moving region is possible through the probalistic setting of the framework. The resulting detection algorithm is thus truly generic and avoids parameter tuning. The method performance is assessed on various real image sequences