Gallery — Project / Lab Report

Interaction Design. The purpose of the mini-project is to apply the methodology and theory presented in the lectures to a concrete design problem.

Thermal wave phenomenon is observed is thin metallic rod by application of periodic heating. In this way, it is demonstrated that there is no wave nature in these improperly called thermal waves by showing that they do not transport energy and its propagation properties can be used to determine the thermal diffusivity of the material.

The purpose of this project was to design a noninvasive pulse rate meter. The design team decided to create a four-stage system for identifying the pulse using optical sensors. The first stage is the input, where an infrared LED shines light at a patient's finger while a photodiode receives light on the other end. The change in blood volume in the patient's finger changes the light in the patient's finger, which creates a current across the photodiode. The second stage is the current-to-voltage converter, whereby the current created by the change in light levels effects a change in voltage. This voltage is passed to the third stage, which is filtering, which attenuates the low-frequency DC offset as well as the high-frequency noise. The final stage is amplification, whereby the filtered signal is amplified so that it may be read by other means, such as a microcontroller.

In deze handleiding worden twee technieken beschreven voor visuele cryptografie. Bij de eerste techniek worden twee transparanten met schijnbaar willekeurige patronen van zwarte blokjes over elkaar geschoven om een geheime afbeelding tevoorschijn te laten komen. De tweede techniek gebruikt twee afbeeldingen in grijstinten die transparant over elkaar geschoven worden om een geheime afbeelding op te roepen. De enige voorkennis die nodig is om deze technieken te kunnen uitvoeren, is het gebruik van een rekenblad (hier: Excel) en van een fotobewerkingsprogramma.

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.

Lazaridou., et al 2017 proposed a framework for language learning that relies on multi-agent communication. The agents in the framework were setup in a referential game where they communicated about many images. In this paper, we propose an experiment where agents develop a private language for referring to specified sentences given a set of sentences. The challenge is for the agents to learn a method of distinguishing differences between sentences and to develop a shared language to be able to refer to particular sentences by those distinguishing features. We will evaluate the agents' ability to accurately identify and differentiate the sentences. In addition, we will identify patterns in the methods that the agents develop to refer to the different types of sentences.Keywords: Reinforcement learning, multi-agent coordination

UNIDADII

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.

Adiabatic Flame Temperature