Arquitectura y Tecnología de Computadores
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Analysis of source code metrics from ns-2 and ns-3 network simulators [Article]
(Elsevier, 2011)Ns-2 and its successor ns-3 are discrete-event simulators which are closely related to each other as they share common background, concepts and similar aims. Ns-3 is still under development, but it offers some interesting ...
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Mobile Interface for a Smart Wheelchair [Presentation]
(Springer, 2002)Smart wheelchairs are designed for severely motor impaired people that have difficulties to drive standard -manual or electric poweredwheelchairs. Their goal is to automate driving tasks as much as possible in order to ...
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Hierarchical Path Search with Partial Materialization of Costs for a Smart Wheelchair [Article]
(Springer, 2004)In this paper, the off-line path planner module of a smart wheelchair aided navigation system is described. Environmental information is structured into a hierarchical graph (H-graph) and used either by the user interface ...
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Hierarchical D ∗ algorithm with materialization of costs for robot path planning [Article]
(Elsevier, 2005)In this paper a new hierarchical extension of the D ∗ algorithm for robot path planning is introduced. The hierarchical D ∗ algorithm uses a down-top strategy and a set of precalculated paths (materialization of path ...
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An IMS-Learning Design Editor for a Higher Education Blended Learning Scenario [Presentation]
(IEEE Computer Society, 2008)The IMS-Learning Design has been developed to support the creation of reusable and pedagogically neutral learning scenarios and content. Although it is especially suitable for eLearning, there is a lot of interest on ...
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A Hierarchical Extension of the D ∗ Algorithm [Article]
(Springer, 2005)In this paper a contribution to the practice of path planning using a new hierarchical extension of the D ∗ algorithm is introduced. A hierarchical graph is stratified into several abstraction levels and used to model ...
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Towards bioinspired close-loop local motor control: a simulated approach supporting neuromorphic implementations [Presentation]
(IEEE Computer Society, 2017)Despite being well established in robotics, classical motor controllers have several disadvantages: they pose a high computational load, therefore requiring powerful devices, they are not easy to tune and they are not ...
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Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation [Presentation]
(Springer, 2017)Neuromorphic engineering takes inspiration from biology to solve engineering problems using the organizing principles of biological neural computation. This field has demonstrated success in sensor based applications ...
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Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock-Correction for Scalable Neuromorphic Systems [Presentation]
(IEEE Computer Society, 2017)Address-Event-Representation (AER) is a widely extended asynchronous technique for interchanging “neural spikes” among different hardware elements in Neuromorphic Systems. Conventional AER links use parallel physical ...
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Low Overhead Monitor Mechanism for Fault-tolerant Analysis of NoC [Presentation]
(IEEE Computer Society, 2014)Modern Networks-on-Chip (NoC) have the capability to tolerate and adapt to the faults and failures in the hardware. Monitoring and debugging is a real challenge due to the NoC system complexity and large scale size. A ...
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Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems [Presentation]
(IEEE Computer Society, 2017)In this live demonstration we exploit the use of a serial link for fast asynchronous communication in massively parallel processing platforms connected to a DVS for realtime implementation of bio-inspired vision processing ...
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Human vs. Computer Slot Car Racing using an Event and Frame-Based DAVIS Vision Sensor [Presentation]
(IEEE Computer Society, 2015)This paper describes an open-source implementation of an event-based dynamic and active pixel vision sensor (DAVIS) for racing human vs. computer on a slot car track. The DAVIS is mounted in "eye-of-god" view. The DAVIS ...
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Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs [Presentation]
(Springer, 2017)Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which ...
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An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors [Article]
(IEEE Computer Society, 2012)Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
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An Approach to Motor Control for Spike-based Neuromorphic Robotics [Presentation]
(IEEE Computer Society, 2014)This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. The controller aims at mimicking motor control structures found in the brain and consists of three neuron populations ...
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Computer vision techniques for forest fire perception [Article]
(Elsevier, 2008)This paper presents computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation ...
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A USB3.0 FPGA Event-based Filtering and Tracking Framework for Dynamic Vision Sensors [Presentation]
(IEEE Computer Society, 2015)Dynamic vision sensors (DVS) are frame-free sensors with an asynchronous variable-rate output that is ideal for hard real-time dynamic vision applications under power and latency constraints. Post-processing of the ...
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Inter-spikes-intervals exponential and gamma distributions study of neuron firing rate for SVITE motor control model on FPGA [Article]
(Elsevier, 2015)This paper presents a statistical study on a neuro-inspired spike-based implementation of the Vector-Integration-To-End-Point motor controller (SVITE) and compares its deterministic neuron-model stream of spikes with a ...
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Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks [Presentation]
(ScitePress Digital Library, 2019)Breast cancer is one of the most frequent causes of mortality in women. For the early detection of breast cancer, the mammography is used as the most efficient technique to identify abnormalities such as tumors. ...
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Performance Evaluation of Neural Networks for Animal Behaviors Classification: Horse Gaits Case Study [Presentation]
(Springer, 2016)The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wildlife animals is a very complex task due to the difficulties to track them and classify their behaviors through ...