Articles — Thesis

The purpose of this work is to outline the first steps taken towards the building of an automatic interpretation and hypothesis generation machine. The contents of this thesis describe the framework built to parse and manipulate the knowl- edge assemblies encoded in BEL, which enables BEL to act as a semantic inte- gration layer for heterogeneous data and knowledge sources, the development of a framework for automatic integration of relevant knowledge from structured sources, and the development of schema-free analytical techniques to generate data-driven hypothesis.

Projet de fin d'étude de l'INSA de Lyon : Mise en place d'une procédure numérique de réglage des paramètres du procédé "Direct Metal Deposition" Based on the Template for a Masters or Doctoral Thesis

Thesis using NEAT algorithm to allow an AI to learn how to play the open-source game Wolfenstein 3D

Kvantno Izračunavanje(Quantum Computing) je, kao grana Prirodnog Izračunavanje(Natural Computing), jedna od najmlađih znanosti Teorijske Kompjuterske Nauke koja koristi stanje superpozicije kvantnog sistema i preplitanje(entanglement) kao gradivne elemente izračunljivosti. Zašto Kvantno Izračunavanje? Naime, već na kraju ovog rada u kome ćemo dati generalni pregled osnova Kvantnog Izračunavanja, ćemo uvidjeti velike prednosti spram klasičnog izračunavanja. Rad je struktuiran tako da uvede čitaoca u osnove ove teorije koja se u mnogome razlikuje od ostalih metoda izračunavanja. Tako ćemo najprije uvesti gradivni element informacije u Kvantom Izračunavanju(Kvantni bit), zatim ćemo se upoznati sa jednim od načina manipulacije informacije na kvantom nivou(Kvantna kola). Nakon toga prelazimo na dva primjera primjene kvantih kola pri formiranju kvantnih algoritama i na kraju ćemo navesti neke prednosti i zanimljivosti Kvantnog Izračunavanja. Čitalac će na kraju imati generalni uvid u ovu znanost i poznavati njene osnovne osobine.

Ejemplo de una tesis de la Escuela Politécnica Nacional

Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.

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solucion es alos efectos decorrosión en estructuras de concreto armado

Este trabalho apresenta o estudo da performance de algoritmos de criptografia em plataformas de Internet das Coisas. O presente trabalho tem como objetivo estudar o funcionamento de algoritmo de criptografia simétrico AES e assimétrico RSA e aplicá-los a ambientes de Internet das Coisas, para que se possa avaliar o impacto na performance dos mesmos. Assim como, aplicar algoritmos de criptografia na camada de rede, na tentativa de garantir a segurança dos dados trocados em um ambiente de Internet das Coisas. Através do estudo, foi verificado que algoritmos assimétricos possuem maior impacto na performance do dispositivo, pois se baseam em cálculos complexos. Com isso, foram escolhidas plataformas utilizadas em prototipagem para mensurar o impacto no processamento. Ao realizar os testes, foi possível provar o impacto na rede e ajudar, através dos dados coletados, a escolher o algoritmo que melhor se adequa ao ambiente de Internet das Coisas, assim como, às necessidades de segurança dos mesmos. Created with the UNIFOR dissertation template