Internet en la enseñanza

Este trabajo pretende ser una guía práctica de utilidad para los profesores de inglés, especialmente de Secundaria aunque también se contempla la Primaria. Lo que se ha pretendido presentar es una explicación somera y práctica de algunas páginas Web de utilidad para los profesores donde su pueden encontrar multitud de recursos de todos los niveles y para todos los ámbitos y campos de actuación de nuestra labor profesional docente.The essay aims at giving an overall view both practical and useful for the English teachers, mainly at the secondary level though the primary one is also considered. It is a mere and simple explanation, though practical at the same time, of some of the most useful and used Web pages nowadays for most English teachers in the classroom. Along these different pages we come across hundreds of activities designed for all levels and capacities which ease our everyday task as teachers

Internet en la enseñanza

Este trabajo pretende ser una guía práctica de utilidad para los profesores de inglés, especialmente de Secundaria aunque también se contempla la Primaria. Lo que se ha pretendido presentar es una explicación somera y práctica de algunas páginas Web de utilidad para los profesores donde su pueden encontrar multitud de recursos a todos los niveles y para todos los ámbitos y campos de actuación de nuestra labor profesional docente.The essay aims at giving an overall view both practical and useful for the English teachers, mainly at the secondary level though the primary one is also considered. It is a mere and simple explanation, though practical at the same time, of some of the most useful and used Web pages nowadays for most English teachers in the classroom. Along these different pages we come across hundreds of activities designed for all levels and capacities which ease our everyday task as teachers

Mesh Compression for 64k Intro

Tato práce se zabývá problematikou komprese modelů pro intro s omezenou velikostí nepřesahující 64kB. Postupně jsou popsány různé techniky komprese modelu a také datová struktura modelu, který byl použit pro demonstraci vybrané kompresní metody. Dále je rozebrán algoritmus pro dělení ploch Catmull-Clark. V závěru práce jsou zhodnoceny experimentované metody a je určena nejlepší z nich.This work deals with compression of 3D models for the use in intro with limited size of less than 64kB. Various techniques of model compression are described. Data structure of the model that was used to demonstrate the selected compression methods is also described. A simple algorithm for Catmull-Clark surface subdivision is described. Finally, the selected methods are experimentally evaluated to select the best of them.

Implementation of a Simultaneous Localization and Mapping Algorithm in an Autonomous Robot

A robot was built and programmed to implement a Simultaneous Localization and Mapping (SLAM) Algorithm. Traditional robotic mapping suffers from compounding sensor error, thus resulting in maps that become highly erroneous over time. SLAM combats this problem by taking a probabilistic approach to mapping. By combining odometry data with sensor measurements of surrounding landmarks through a Kalman Filter, the robot was able to accurately map its surrounding environment, and localize itself within that environment

Labeled Sampling Consensus A Novel Algorithm For Robustly Fitting Multiple Structures Using Compressed Sampling

The ability to robustly fit structures in datasets that contain outliers is a very important task in Image Processing, Pattern Recognition and Computer Vision. Random Sampling Consensus or RANSAC is a very popular method for this task, due to its ability to handle over 50% outliers. The problem with RANSAC is that it is only capable of finding a single structure. Therefore, if a dataset contains multiple structures, they must be found sequentially by finding the best fit, removing the points, and repeating the process. However, removing incorrect points from the dataset could prove disastrous. This thesis offers a novel approach to sampling consensus that extends its ability to discover multiple structures in a single iteration through the dataset. The process introduced is an unsupervised method, requiring no previous knowledge to the distribution of the input data. It uniquely assigns labels to different instances of similar structures. The algorithm is thus called Labeled Sampling Consensus or L-SAC. These unique instances will tend to cluster around one another allowing the individual structures to be extracted using simple clustering techniques. Since divisions instead of modes are analyzed, only a single instance of a structure need be recovered. This ability of L-SAC allows a novel sampling procedure to be presented “compressing” the required samples needed compared to traditional sampling schemes while ensuring all structures have been found. L-SAC is a flexible framework that can be applied to many problem domains

Application of substructuring methods to the dynamic finite element analysis of a container refrigeration unit frame structure

Substructuring is a technique in finite element analysis for solving mechanical engineering problems involving large structures which are too enormous for existing computer hardware and software to handle. This technique involves breaking the system into parts, analyzing the parts, and then re-assembling the total system using selected degrees of freedom from the parts. This thesis also provides a review of substructure theory as a background. The state-of-art involving different approaches of the method is presented . The ANSYS finite element analysis program is used for the case studies of analyzing a container refrigeration unit frame structure. The experimental vibration test results on the structure are used for comparison with the analytical results from the modal analysis of the various case studies. Results from case studies of both the simple models and the complicated container refrigeration unit frame structure all indicate that substructuring by ANSYS renders better solutions than the conventional modal analysis with appropriate numbers of mass master degrees of freedom specified for each substructure. Additional master degrees of freedom are required in substructure dynamic analysis to achieve reliable solutions. Computer time saving is not achievable by using substructuring in ANSYS for dynamic analysis due to the excessive calculations used by the wave front solver for generating each substructure analysis. Computer time saving is only achievable for the cases of analyzing a structure representing repetitive or symmetrical features in geometry