L’abandon scolaire en milieu rural marocain : une analyse interactionniste du point de vue des familles.

Cette recherche appréhende le phénomène de l’abandon scolaire en contexte rural marocain à partir du point de vue privilégié des familles sur cette question. L’abandon scolaire est d’une ampleur importante dans les pays en développement, comme l’ont mentionné plusieurs rapports de l’UNESCO (2005, 2008, 2009, 2011, etc.). Plusieurs facteurs contribueraient à l’abandon scolaire des élèves: la pauvreté, le redoublement, l’échec scolaire, les effets de culture liés au genre, la qualité des écoles et des apprentissages, le travail des enfants, le cout d’opportunité, l’analphabétisme des parents, etc. (Ananga, 2011; Chedati, 2004; Diagne, 2007; Gouzi et El Aoufi, 2006; Naseer et al., 2011; Sabates, Hossain et Lewin, 2010a). La recension des écrits effectuée indique aussi différentes conséquences du phénomène sur le plan social, notamment l’augmentation du taux d’analphabétisme, la non réalisation de la scolarisation primaire universelle, ainsi que sur le plan économique, dont le taux de chômage élevé. La majorité des études qui se sont penchées sur ce phénomène sont surtout de nature économique, abordant peu la question par le point de vue des familles qui sont pourtant les premières concernées par l’abandon scolaire de leur enfant. En outre, elles sont presqu’essentiellement quantitatives, les chiffres obtenus indiquant l’importance des facteurs de risque, laissant dans l’ombre une explication en profondeur du phénomène. L’angle théorique retenu pour éclairer ce phénomène est celui de la théorie des représentations sociales développée par Moscovici (1989) qui jette une lumière sur les rapports qu’entretient un acteur ou groupe social à l’égard d’objets sociaux tels que l’éducation. Cette théorie est appuyée par les concepts de «rapport à l’école» et de «rapport au savoir» de Charlot (1992) qui permettent d’examiner comment les élèves et leurs familles se positionnent face au processus de scolarisation, à partir de la question suivante : Quelles représentations les familles de milieux ruraux ont-elles de l’école marocaine et qui participeraient au processus conduisant éventuellement à l’abandon de l’école par leur(s) enfant(s)? Quels sont leurs rapports à l’école? Pour répondre à cette question, des entretiens biographiques compréhensifs ont été menés auprès de six familles de la région rurale de Tidili; rencontrées séparément, elles se sont exprimées sur l’abandon scolaire de l’un de leurs enfants. Une analyse de contenu telle que proposée par Bardin (dans Negura, 2006) a été mobilisée sur les verbatim des entretiens pour rendre compte de leur point de vue. Celle-ci a conduit à dégager deux registres d’analyse, tels que proposés par Morrissette (2010) pour exploiter d’au plus près le matériau d’analyse. (1) Le premier s’inscrit dans une logique descriptive et restitutive; il rend compte du point de vue des familles selon deux catégories, soit le rapport à l’école et le rapport à la société. Il ressort de ce registre l’importance des rapports entre les familles et les enseignants dans le phénomène de l’abandon scolaire. (2) Le deuxième registre s’inscrit dans une logique plus conceptualisante; il propose un nouvel éclairage du point de vue des familles à partir d’une perspective interactionniste (Becker, 1982) qui permet de poser un regard transversal sur le registre précédent. C’est ainsi qu’ont émergé des négociations sociales conduisant à l’abandon scolaire d’un enfant, lesquels sont marqués par des «modes d’interaction» entre les familles et l’école et des conventions sociales, deux niveaux d’interaction qui renseignent la dynamique évolutive conduisant à l’abandon scolaire d’un enfant.

L’univers dans un point noir : esthétique et matérialité dans l’oeuvre de Jack Kirby

Notre recherche étudie les particularités esthétiques et matérialistes de l’oeuvre du bédéiste américain Jack Kirby (1917-1994) et la manière dont elles répondent d’agencements qui visent à déconstruire et reconstruire les formes sur la page. Contemporain de Will Eisner, Kirby est largement considéré comme l'auteur et dessinateur le plus influent de son époque, co-signant les premières aventures de certains des super-héros qui perdurent et qui sont aujourd’hui la manne de l’industrie hollywoodienne (Captain America, les Fantastic Four, Hulk, etc.). Son oeuvre protéiforme est composée de superpositions de textures, d’objets récupérés, de figures déviées et trouve dans son rapport à la matière les principaux axiomes qui la définissent. Cherchant dans son travail à cerner les fonctions des nombreux amoncellements de points noirs (baptisés kirby dots par la critique et l’industrie), nous nous écartons des modèles d’analyse sémiologiques pour constituer une approche écosophique de la bande dessinée. Dans cette dernière, nous avons recours à la schizo-analyse théorisée par Gilles Deleuze et Félix Guattari dans leur ouvrage L’Anti-OEdipe (1972) afin de cerner les conditions de la production de sens et de non-sens du point kirbyen. Pour ce faire, nous proposons de reconsidérer la BD comme une écologie séquentialisée, composée de cases sans icônes, c’est-à-dire d’un espace pris au plus près de la planche, pour soi et en soi, sans rapport de causalité fixe ou de structure prédéterminée. Nous envisageons ensuite les territorialités archaïques de la bande dessinée pour mieux définir son ontogénie, puis pour étudier les rapports machiniques et schizos qu’entretiennent entre eux les différents espaces (que nous distinguons en espaces striés et en espaces lisses) ainsi que les différents traits de la planche. Finalement, nous expliquerons en quoi le point kirbyen apparaît comme une machine abstraite, c’est-à-dire une instance capable d’auto-générer, d’auto-poïétiser, son propre mystère représentationnel.

Phase modulation of microwave signals using point contact Germanium signal diodes

A forward - biased point contact germanium signal diode placed inside a waveguide section along the E -vector is found to introduce significant phase shift of microwave signals . The usefulness of the arrangement as a phase modulator for microwave carriers is demonstrated. While there is a less significant amplitude modulation accompanying phase modulation , the insertion losses are found to be negligible. The observations can be explained on the basis of the capacitance variation of the barrier layer with forward current in the diode

Compact dual-band antenna for wireless access point

A compact dual-band printed antenna covering the 2.4 GHz (2400-2485 MHz) and 5.2 GHz (5150-5350 MHz) WLAN bands is presented. The experimental analysis shows a 2:1 VSWR bandwidth of up to 32 and 8% for 2.4 and 5.2 GHz, respectively. The measured radiation patterns are nearly omnidirectional, with moderate gain in both the WLAN bands.

Fixed Point Decimal Multiplication Using RPS Algorithm

Decimal multiplication is an integral part of financial, commercial, and internet-based computations. A novel design for single digit decimal multiplication that reduces the critical path delay and area for an iterative multiplier is proposed in this research. The partial products are generated using single digit multipliers, and are accumulated based on a novel RPS algorithm. This design uses n single digit multipliers for an n × n multiplication. The latency for the multiplication of two n-digit Binary Coded Decimal (BCD) operands is (n + 1) cycles and a new multiplication can begin every n cycle. The accumulation of final partial products and the first iteration of partial product generation for next set of inputs are done simultaneously. This iterative decimal multiplier offers low latency and high throughput, and can be extended for decimal floating-point multiplication.

Using Neural Network Classifier Support Vector Machine Regression for the prediction of Melting Point of Drug – like compounds

In our study we use a kernel based classification technique, Support Vector Machine Regression for predicting the Melting Point of Drug – like compounds in terms of Topological Descriptors, Topological Charge Indices, Connectivity Indices and 2D Auto Correlations. The Machine Learning model was designed, trained and tested using a dataset of 100 compounds and it was found that an SVMReg model with RBF Kernel could predict the Melting Point with a mean absolute error 15.5854 and Root Mean Squared Error 19.7576

Approximate Approximations and a Boundary Point Method for the Linearized Stokes System

The method of approximate approximations, introduced by Maz'ya [1], can also be used for the numerical solution of boundary integral equations. In this case, the matrix of the resulting algebraic system to compute an approximate source density depends only on the position of a finite number of boundary points and on the direction of the normal vector in these points (Boundary Point Method). We investigate this approach for the Stokes problem in the whole space and for the Stokes boundary value problem in a bounded convex domain G subset R^2, where the second part consists of three steps: In a first step the unknown potential density is replaced by a linear combination of exponentially decreasing basis functions concentrated near the boundary points. In a second step, integration over the boundary partial G is replaced by integration over the tangents at the boundary points such that even analytical expressions for the potential approximations can be obtained. In a third step, finally, the linear algebraic system is solved to determine an approximate density function and the resulting solution of the Stokes boundary value problem. Even not convergent the method leads to an efficient approximation of the form O(h^2) + epsilon, where epsilon can be chosen arbitrarily small.

Computation of relativistic symmetry orbitals for finite double point groups

A program is presented for the construction of relativistic symmetry-adapted molecular basis functions. It is applicable to 36 finite double point groups. The algorithm, based on the projection operator method, automatically generates linearly independent basis sets. Time reversal invariance is included in the program, leading to additional selection rules in the non-relativistic limit.

Design and Control of an Anthropomorphic Robotic Finger with Multi-point Tactile Sensation

The goal of this research is to develop the prototype of a tactile sensing platform for anthropomorphic manipulation research. We investigate this problem through the fabrication and simple control of a planar 2-DOF robotic finger inspired by anatomic consistency, self-containment, and adaptability. The robot is equipped with a tactile sensor array based on optical transducer technology whereby localized changes in light intensity within an illuminated foam substrate correspond to the distribution and magnitude of forces applied to the sensor surface plane. The integration of tactile perception is a key component in realizing robotic systems which organically interact with the world. Such natural behavior is characterized by compliant performance that can initiate internal, and respond to external, force application in a dynamic environment. However, most of the current manipulators that support some form of haptic feedback either solely derive proprioceptive sensation or only limit tactile sensors to the mechanical fingertips. These constraints are due to the technological challenges involved in high resolution, multi-point tactile perception. In this work, however, we take the opposite approach, emphasizing the role of full-finger tactile feedback in the refinement of manual capabilities. To this end, we propose and implement a control framework for sensorimotor coordination analogous to infant-level grasping and fixturing reflexes. This thesis details the mechanisms used to achieve these sensory, actuation, and control objectives, along with the design philosophies and biological influences behind them. The results of behavioral experiments with a simple tactilely-modulated control scheme are also described. The hope is to integrate the modular finger into an %engineered analog of the human hand with a complete haptic system.

Feature Point Detection and Curve Approximation for Early Processing of Freehand Sketches

Freehand sketching is both a natural and crucial part of design, yet is unsupported by current design automation software. We are working to combine the flexibility and ease of use of paper and pencil with the processing power of a computer to produce a design environment that feels as natural as paper, yet is considerably smarter. One of the most basic steps in accomplishing this is converting the original digitized pen strokes in the sketch into the intended geometric objects using feature point detection and approximation. We demonstrate how multiple sources of information can be combined for feature detection in strokes and apply this technique using two approaches to signal processing, one using simple average based thresholding and a second using scale space.

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.

Preconditioning and iterative solution of symmetric indefinite linear systems arising from interior point methods for linear programming

We study the preconditioning of symmetric indefinite linear systems of equations that arise in interior point solution of linear optimization problems. The preconditioning method that we study exploits the block structure of the augmented matrix to design a similar block structure preconditioner to improve the spectral properties of the resulting preconditioned matrix so as to improve the convergence rate of the iterative solution of the system. We also propose a two-phase algorithm that takes advantage of the spectral properties of the transformed matrix to solve for the Newton directions in the interior-point method. Numerical experiments have been performed on some LP test problems in the NETLIB suite to demonstrate the potential of the preconditioning method discussed.

Application of discriminant function analysis and change-point problem in dating volcanic ashes

The application of Discriminant function analysis (DFA) is not a new idea in the study of tephrochrology. In this paper, DFA is applied to compositional datasets of two different types of tephras from Mountain Ruapehu in New Zealand and Mountain Rainier in USA. The canonical variables from the analysis are further investigated with a statistical methodology of change-point problems in order to gain a better understanding of the change in compositional pattern over time. Finally, a special case of segmented regression has been proposed to model both the time of change and the change in pattern. This model can be used to estimate the age for the unknown tephras using Bayesian statistical calibration