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Design of a multi-FPGA system for biologically plausible neural networks based of heterogeneous computing
(Instituto Tecnológico de Costa Rica, 2022-08-31)
Today neuroscience is vastly specialized such that computational neuroscience tries to bridge the gaps of knowledge between the theory and the experiments. In-silico experiments are computer simulations with complete control ...
Design of a power-saving strategy for a collaborative wireless sensor network of multi-core embedded systems
(Instituto Tecnológico de Costa Rica, 2022-09-20)
Structural Health Monitoring (SHM) es un campo de ingeniería que enfrenta el hecho de que los sensores tienden a ser difíciles de acceder e instalar, lo que hace que los nodos de bajo consumo de energía en una red de ...
Design of a library of generic accelerators of DNN-based inference algorithms for low-end FPGAs
(Instituto Tecnológico de Costa Rica, 2022-12-08)
El bajo consumo de potencia, recursos computacionales escasos y los pocos grados de
libertad para la optimización limitan la implementación de soluciones para la inferencia
de aprendizaje profundo en el edge. La computación ...
Analysis and extension of segmented physics-based via modeling for microstrip transitions and differential signaling
(Instituto Tecnológico de Costa Rica, 2022-05-03)
This work revisits the framework of physics-based modeling of multilayer substrates with vias. The first part reviews the model and discuss their limitations for irregular structures, when there exist cases where high-order ...
Electrical Impedance Tomography (EIT) image reconstruction for the human forearm
(Instituto Tecnológico de Costa Rica, 2016)
This thesis addresses the principles and algorithms of image reconstruction used
in electrical impedance tomography (EIT). It is a low cost, portable and non-invasive
medical imaging technique.
In this development EIT ...
Active dictionary models: A framework for non-linear shape modeling
(Instituto Tecnológico de Costa Rica, 2015)
Shape modeling has applications in science and industry fields. The existing algorithms
are based on linear methods and on unimodal normal distributions not appropriate to
model deformations present in natural signals. ...
Automatic detection of human attraction using non-intrusive multimodal signals and machine learning
(Instituto Tecnológico de Costa Rica, 2022-08)
El procesamiento de señales sociales se ha desarrollado ampliamente en los últimos años, permitiendo el surgimiento de nuevas áreas de investigación, entre ellas, la predicción de atracción humana, donde se busca desarrollar ...
Modeling and controlling a robotized medical instrument
(Instituto Tecnológico de Costa Rica, 2016)
During the last decade, Minimally Invasive Surgeries (MIS) have become a trend in
the medical field, given the numerous benefits such as: reduced trauma, shorter recovery
time and minimal postoperative complications. It ...
Design of Elastic Buffers for USB Transceivers in a 180-nm CMOS process
(Instituto Tecnológico de Costa Rica, 2021-09)
In this work, the design and implementation of elastic buffers at pre-silicon level are
addressed. The buffers are designed to be part of USB 2.0 and 3.0 transceivers. Based
on a register-transfer level (RTL) description ...
Algoritmo para automatizar el enrutamiento de señales en una placa de circuito impreso basado en operaciones morfológicas
(Instituto Tecnológico de Costa Rica, 2022-09-08)
El enrutamiento de señales consiste en resolver el problema de encontrar conexiones entre los componentes electrónicos colocados en una placa de circuito impreso (PCB, por sus siglas en inglés). Hoy en día se tienen circuitos ...