970 resultados para Setup errors


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Analizar las estrategias, las dificultades y los errores de los alumnos, manifestados en los aprendizajes de habilidades de orientación espacial y de habilidades espaciales ligados a los procesos de resolución. Asociar, cuando sea posible, las tipologías establecidas a los grupos de incidencia determinados por las variables sexo y escolarización.. 655 alumnos de edades entre 14-16 años de 16 centros diferentes de EGB, FP y BUP. 24 alumnos de la muestra anterior.. Elabora un cuestionario con una primera parte de carácter general, con preguntas de geometría escolar, y una segunda parte con contenido estrictamente espacial. Aplica el cuestionario a la muestra. Estudia los tipos de errores manifestados en las actividades del cuestionario donde la transformación geométrica es una rotación al espacio y los asocia a grupos de incidencia. Establece una tipología de procesos de resolución, analizando las estrategias, dificultades y errores, asociándola a grupos de incidencia.. Cuestionario. Análisis cualitativo. Análisis cuantitativo. Elabora las conclusiones en función de cada item del cuestionario. Las conclusiones generales se relacionan con la metodología utilizada; las estrategias, dificultades y errores de los alumnos; habilidad de orientación espacial de los alumnos; diferencias de comportamiento entre grupos; implementación de las habilidades..

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Manual diseñado para ayudar a los profesores de primaria a identificar en los niños sus conceptos erróneos en matemáticas. Considera tres perspectivas diferentes: el nivel del plan de estudios, el nivel del aula y el nivel de cada alumno. La comprensión de cómo los niños construyen su conocimiento matemático y los errores que cometen, permite identificar y explicar por qué ocurre el error. También permite adelantarse a conceptos erróneos habituales y a planificar las lecciones. Tiene un índice con referencias cruzadas para el programa nacional británico.

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This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.

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This is a descriptive study that analyzes the spelling abilities as well as a specific spelling error made by children between the ages of 5 and 9 who are deaf and wear cochlear implants.

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This paper discusses a study done to test tactile errors of localization abilities, with and without a Tactaid VII communication aid.

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This paper presents a study of common errors made during speech discrimination testing.

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The goals of the present study are: to determine if dialogue journals are an effective activity within a balanced literacy program to improve on written language errors in students who are deaf and hard of hearing.

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Spontaneous writing samples of deaf children with cochlear implants were analyzed for syntactic errors and other descriptive characteristics. These results were compared to a small sample of writings from hearing children.

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