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If you conduct a scientific experiment or undertake a piece of research, you’ll usually need to write up a corresponding project or lab report, to summarize the objective of your task, the methods you followed, the results you obtained, and the conclusions you drew from your work. Here we provide a sample of great templates for producing such reports, which include layout guidelines to help guide you through the process.

SOLAR SALES ON YOUR TRIP TO MARS
SOLAR SALES ON YOUR TRIP TO MARS
We study Logarithmically Spiral Trajectories and, in particular, we look for a solution to minimize the transit time of a Spacecraft propelled by a Solar Sail, while simultaneously minimizing the area of the Solar Sail, which would allow us to carry more payload on board. We start by analyzing the forces that act on the Spacecraft taking into account that its propellant is a Solar Sail; we use the studied forces to deduce the motion equations. We then solve this motion equation with a Runge-Kutta 4 method and transform the problem of minimizing time and area to a Non-linear Optimization problem. When solving the NLP we also try to minimize the relative final speed of th spacecraft with the destination planet in order to guarantee the possibility of a safe landing on its surface. The model improves when an angle parameter α (describing the angle formed by the Solar Sail with the colliding photons) is defined as a piecewise constant function and optimized whose values are optimized in every interval to minimize transit time and Area. Using the developed model to optimize the trajectory to be followed for sending from Earth to Mars a 2000kg-spacecraft propelled by a Solar Sail, subject to the condition that at trajectory start Mars and Earth were at their closest approach, and the Arrival Relative Velocity is less than 9km/s, give us a minimal transit time of 500days and a minimal area for the Solar Sail of 183158m2, meaning that the maximal payload would be 718kg. Compared with different number of partitions of α, the optimum stays stable. This gives a solid optimal trajectory and a great result for the numerical method used. Actually, waiting until the best moment to throw the Spacecraft, id est, Mars is at 1.14 radians respectively to Earth initial position, the minimal sail area 145950 m2 and, therefore, ables to transport until 978 kg of payload with the same transit time. In addition and to conclude we tried the model to optimize the inverse trajectory.
Marco Praderio Bova, Eneko Martin Martinez, & Maria dels Àngels Guinovart Llort
Plan de monografía Ambiental UIS
Plan de monografía Ambiental UIS
Plantilla para escribir los planes de monografía en la Especialización en Química Ambiental.
Julio R. Pinzón
Czech SOČ LaTeX template (unofficial)
Czech SOČ LaTeX template (unofficial)
Soctepmlate unofficial - SOČ = Středoškolská odborná činnost - Czech competition Author: Vojtěch Boček Edit by: Jaroslav Páral Source code: https://github.com/RoboticsBrno/soctemplate/ Base on: http://www.jcmm.cz/cz/sablona-soc.html License: CC BY 4.0
Vojtěch Boček, Jaroslav Páral
Laboratorio 3
Laboratorio 3
Laboratorio 3
Josefina Rey
Simultaneous Localization And Mapping (SLAM) using RTAB-Map
Simultaneous Localization And Mapping (SLAM) using RTAB-Map
This paper implements Simultaneous Localization and Mapping (SLAM) technique to construct a map of a given environment. A Real Time Appearance Based Mapping (RTAB-Map) approach was taken for accomplishing this task. Initially, a 2d occupancy grid and 3d octomap was created from a provided simulated environment. Next, a personal simulated environment was created for mapping as well. In this appearance based method, a process called Loop Closure is used to determine whether a robot has seen a location before or not. In this paper, it is seen that RTAB-Map is optimized for large scale and long term SLAM by using multiple strategies to allow for loop closure to be done in real time and the results depict that it can be an excellent solution for SLAM to develop robots that can map an environment in both 2d and 3d.
Sagarnil Das
MOOC Dropout Prediction with Model Stacking
MOOC Dropout Prediction with Model Stacking
We are asked to predict the probability of the event that a student will drop out a course. We firstly extracted many features from the huge dataset. Then we used ensemble learning machine and model stacking technique to get the final result, which ranked the 1st in 68 teams.
Qi Zhao
FY 2017 Progress Report: Adiabatic Flame Temperature and Equivalence Ratio Relationship
FY 2017 Progress Report: Adiabatic Flame Temperature and Equivalence Ratio Relationship
Adiabatic Flame Temperature
Matthew Wallingford, Jason Gurtman, Haoyun Xu, Brock Mapes
Flex shape gripper
Flex shape gripper
Este trabajo presenta la aplicación de un conjunto de articulos con propias teorías de los robots manipuladores y el modelamiento de pinzas. Para ello el brazo humano se modela como un robot manipulador redundante. En particular se aplica el concepto de índices de desempeño para predecir posturas óptimas del brazo durante la realización de tareas. En el estudio se incluyen tanto estructuras estáticas, como tambien los analisis de estabilidad del brazo y los materiales para su respectiva realizacion. This work presents the application of a set of articles with the own theories of the manipulative robots and the modeling of tweezers. For this, the bearing is modeled as a redundant manipulator robot. In particular, the concept of performance indices is applied to predict the optimal postures of the task during the performance of tasks. The study includes both static structures, as well as safety management analyzes and materials for their respective realization.
Alex Villarroel Coca
Kernel Optimization
Kernel Optimization
The kernel is a computer program that has complete control over the operating system. It handles the input/output requests and translates them into data-processing instructions for the CPU. It handles not only the memory, but also peripherals. The kernel controls the tasks that are managed in the running system, some of these are running processes, hardware management and handling interrupts, in the kernel space. On the other hand, the user performs in the user space. This separation helps to prevent data interfering that can cause instability and slowness, or worse, malfunctioning application programs that can crash the entire operating system. The process scheduler decides which is the next task to run. In the following project we analyzed the behavior of the scheduler changing the default value of the runtime scheduling, this value is 950000µs for the scheduler real time running variable. According to this, 5% of the CPU time is reserved for processes that are not running under a realtime or deadline scheduling policy. On this project, this value specifies how much of the period time could be used by real-time and deadline scheduled processes on the system.
Enrique Anaya

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