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Full-Text Articles in Computer Engineering
Optimizing Lempel-Ziv Factorization For The Gpu Architecture, Bryan Ching
Optimizing Lempel-Ziv Factorization For The Gpu Architecture, Bryan Ching
Master's Theses
Lossless data compression is used to reduce storage requirements, allowing for the relief of I/O channels and better utilization of bandwidth. The Lempel-Ziv lossless compression algorithms form the basis for many of the most commonly used compression schemes. General purpose computing on graphic processing units (GPGPUs) allows us to take advantage of the massively parallel nature of GPUs for computations other that their original purpose of rendering graphics. Our work targets the use of GPUs for general lossless data compression. Specifically, we developed and ported an algorithm that constructs the Lempel-Ziv factorization directly on the GPU. Our implementation bypasses the …
Interfaz Natural Para La Programación De Un Robot Manipulador A Través De Un Kinect, Daniel Leonardo Mariño Lizarazo
Interfaz Natural Para La Programación De Un Robot Manipulador A Través De Un Kinect, Daniel Leonardo Mariño Lizarazo
Ingeniería en Automatización
En un futuro los robots van a ser una parte natural de nuestra vida, para esto es importante que puedan interactuar de manera natural con las personas y que además puedan aprender cómo realizar nuevas tareas. Por medio de la programación por demostración, el usuario puede “explicar” la ejecución de una tarea a un robot mostrándole como se realiza sin necesidad de un lenguaje complicado. En este proyecto se desarrolló un sistema con en el cual el usuario puede generar programas para un robot manipulador sin la necesidad de tener conocimientos de programación o de robótica. El sistema propuesto permite …
Neuromodulation Based Control Of Autonomous Robots On A Cloud Computing Platform, Cameron Muhammad
Neuromodulation Based Control Of Autonomous Robots On A Cloud Computing Platform, Cameron Muhammad
Electronic Theses and Dissertations
In recent years, the advancement of neurobiologically plausible models and computer networking has resulted in new ways of implementing control systems on robotic platforms. The work presents a control approach based on vertebrate neuromodulation and its implementation on autonomous robots in the open-source, open-access environment of robot operating system (ROS). A spiking neural network (SNN) is used to model the neuromodulatory function for generating context based behavioral responses of the robots to sensory input signals. The neural network incorporates three types of neurons- cholinergic and noradrenergic (ACh/NE) neurons for attention focusing and action selection, dopaminergic (DA) neurons for rewards- and …