overleaf template galleryLaTeX templates and examples — Recent
Discover LaTeX templates and examples to help with everything from writing a journal article to using a specific LaTeX package.

Computo Forense Agave

The goal of this project is to explore both the theory behind the Extended Kalman Filter and the way it was used to localize a four-wheeled mobile-robot. This can be achieved by estimating in real-time the pose of the robot, while using a pre-acquired map through Laser Range Finder (LRF). The LRF is used to scan the environment, which is represented through line segments. Through a prediction step, the robot simulates its kinematic model to predict his current position. In order to minimize the difference between the matched lines from the global and local maps, a update step is implemented. It should be noted that every measurement has associated uncertainty that needs to be taken into account when performing each step of the Extended Kalman Filter. These uncertainties, or noise, are described by covariance matrices that play a very important role in the algorithm. Since we are dealing with an indoor structured environment, mainly composed by walls and straight-edged objects, the line segment representation of the maps was the chosen method to approach the problem.

Jing Wang – Curriculum Vitae

Indoor air quality (IAQ) is referred to as “the air quality within and around buildings and structures, especially as it relates to the health and comfort of building occupants” (US EPA, 2015). Indoor pollutant levels further determine the quality of indoor air, and one of the indicators used to measure IAQ is carbon dioxide (CO2). Drawing on data collected from a classroom, auditorium, and gym setting in the Mount Royal University campus, the aim of this report is to determine if CO2 levels present are within established margins substantial to result in adverse health effects. Environmental factors that are considered in this report include: room size, supply air, and occupant load in the specified spaces on the campus. The results of this study suggest that there are a myriad of factors that may affect IAQ and that CO2 is merely an indicator of poor air quality. Overall, peak indoor CO2 levels can further be used to determine appropriate ventilation rates in an indoor space.

Trabalhos Gráficos para a IP Acesita

This is the solutions document for a mock AMC10.

Esta plantilla (no oficial) es un `documento de inicio' para escribir trabajos de Fin de Grado (o Master), al estilo de los que usamos en la Facultad de Matemáticas de la Universidad de Sevilla. ¡Contacte con el autor para sugerir mejoras!

Created using the One-Column Deedy CV Template

Math project.
\begin
Discover why 18 million people worldwide trust Overleaf with their work.