Six children between the ages of seven and eleven and their parents were interviewed to gather perceptions of the Clip Chart Management System. The Clip Chart system is a behavior system used in many primary classrooms where teachers move students’ clothespins up and down a chart in response to students’ behavior. Some findings from this qualitative case study are: students experienced feelings of shame and embarrassment, students compared their clips to their peers’ clips, and students labeled other students as “bad.” Some parents appreciated the consistency of behavior monitoring, but other parents felt that the system was ineffective and contributed to their child’s negative feelings about school. The findings of this study suggest the need for much more research if this method is continued to be implemented in schools.

This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. The study investigates the performance of CLIP in tandem with various anomaly detection algorithms within a visual surveillance system. A custom dataset was created for video anomaly detection, encompassing two distinct views and two varying levels of anomaly difficulty. One view offers a more zoomed-in perspective, while the other provides a wider perspective. This was conducted to evaluate the capacity of CLIP to manage objects that occupy either a larger or smaller portion of the entire scene. Several different anomaly detection methods were tested with varying levels of supervision, including unsupervised, one-class classification, and weakly- supervised algorithms, which were compared against each other. To create better separation between the CLIP embeddings, a metric learning model was trained and then used to transform the CLIP embeddings to a new embedding space. The study found that CLIP performs effectively when anomalies take up a larger part of the image, such as in the zoomed-in view where some of the One- Class-Classification (OCC) and weakly supervised methods demonstrated superior performance. When anomalies take up a significantly smaller part of the image in the wider view, CLIP has difficulty distinguishing anomalies from normal scenes even using the transformed CLIP embeddings. For the wider view the results showed on better performance for the OCC and weakly supervised methods.

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En el ámbito laboral, hemos constatado personalmente que en el planteamiento de personajes se produce una influencia proveniente de los lineamientos específicos de una campaña. Aun cuando el diseñador tiene un estilo propio, entra a calar la opinión del cliente o las exigencias del mercado. Por ello, nos preguntamos qué sucedería si el diseñador decidiera plantear una propuesta personal distinta en función del diseño de personajes. Obtuvimos respuesta a tal cuestionamiento en la Internet, donde se hallaron varios proyectos fuera del ámbito comercial, con una diversidad de estilos en campos como el arte, el diseño y la animación. Este hecho sembraría nuestro interés inicial en el que se denominaría contemporary character design e iniciaría nuestra exploración en diversos medios artísticos más allá del software de diseño digital. El resultado sería la creación de una serie de personajes que conformarían parte de un imaginario y estarían construidos con un lenguaje visual propio. El contemporary character design, término que en español significa “diseño de personajes contemporáneo”, convive con otras maneras de construir personajes como los que podemos apreciar en la animación en general, el cómic y el diseño de mascotas publicitarias. Sobrepasando tales parámetros comerciales, el contemporary character design ha llegado a desarrollarse y expandirse artísticamente demostrando su potencial creativo y manifestando rasgos característicos que lo diferencian de las otras expresiones artísticas mencionadas. Es importante aclarar que los proyectos vinculados al contemporary character design, si bien parten del entorno del diseño, nacen de proyectos libres en donde un diseñador o artista gráfico parodia o explora de manera lúdica los comportamientos y percepciones de la sociedad moderna en diversos ámbitos. Para ello, uno de los recursos más utilizados es el intertexto que toma como referencia la globalización de la imagen. No obstante, esta superposición de información podría tomar nuevas fuentes que no sólo se basen en el mass media y cuyo propósito sea más introspectivo, lo que abre las posibilidades de elaborar una propuesta artística en un nivel plástico y conceptual.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

This study explores the incorporation of film and other audiovisual media in the instruction of French as a foreign language. The primary focus is on understanding the diverse approaches adopted by two teachers in the southern region of Sweden. Through interviews, these educators share insights into their goals when integrating films into language learning and the specific methodologies employed to attain these objectives. Additionally, the study incorporates a questionnaire to gather student perspectives on the efficacy and impact of using films within the classroom setting.

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<p dir="ltr">Land cover classification has always been a crucial topic in the remote sensing domain. Utilizing data collected by unmanned aerial vehicles and satellites, researchers can detect land degradation, monitor environmental changes, and provide insights for urban planning. Recent advancements in large multi-modal models have enabled open-vocabulary classification, which is particularly beneficial in this field. Becuase of the pre-training method, these models can perform zero-shot inference on unseen data, significantly reducing the costs associated with data collection and model training. This open-vocabulary feature of large-scale vision-language pre-training aligns well with the requirements of land cover classification, where benchmark datasets in the remote sensing domain comprise various categories, and transferring results from one dataset to another through supervised learning methods is challenging.</p><p dir="ltr">In this thesis, the author explored the performance of zero-shot CLIP and linear probe CLIP to assess the feasibility of using the CLIP model for land cover classification tasks. Further, the author fine-tuned CLIP by creating hierarchical label sets for the datasets, leading to better zero-shot classification results and improving overall accuracy by 2.5%. Regarding data engineering, the author examined the performance of zero-shot CLIP and linear probe CLIP across different categories and proposed a categorization method for land cover datasets. In summary, this work evaluated CLIP's overall performance on land cover datasets of varying spatial resolutions and proposed a hierarchical classification method to enhance its zero-shot performance. The thesis also offers a practical approach for modifying current dataset categorizations to better align with the model.</p>

Prediction of the clip reactions of a standing seam roof in a metal building under dynamic loading is of great interest because currently static uplift tests are the standard for determining the design load capacity. The use of a static test to replicate a dynamic loading leads to a great amount of debate because clearly a standing seam roof visually behaves very different under the two different types of loads. This leads to the question of whether a static test accurately replicates the magnitude of loads that the roof clips would feel under a dynamic wind load. This study uses a magnetic suspension uplift loading for the simulation of wind tunnel data in comparison with the ASTM E-1592 ?Standard Test Method for Structural Performance of Sheet Metal Roof and Siding Systems by Uniform Static Air Pressure Difference? test to determine clip reactions. An approximate finite element model is also utilized to verify the validity of the experimentally acquired clip reactions to form another comparison.