A design methodology to accelerate the face detection for embedded systems is described, starting from high level (algorithm optimization) and ending with low level (software and hardware codesign) by addressing the issues and the design decisions made at each level based on the performance measurements and system limitations. The...
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May 29, 2018 (v1)PublicationUploaded on: March 27, 2023
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May 18, 2018 (v1)Publication
In computer vision during the recent years a new paradigm for object detection has stimulated researchers and designers interest. The foundation of this new paradigm is the Local Binary Pattern (LBP) which is a nonparametric operator that efficiently extracts the features of local structures in images. This communication describes a software...
Uploaded on: March 27, 2023 -
October 18, 2018 (v1)Publication
This paper presents an FPGA face detection embedded system. In order achieve acceleration in the face detection process a hardware-software codesign technique is proposed. The paper describes the face detection acceleration mechanism. It also describes the implementation of an IP module that allows hardware acceleration.
Uploaded on: December 4, 2022 -
January 14, 2015 (v1)Publication
Network performance active measurement and estimation systems are based on the response to test traffic between two end-points in the network. This paper presents an integrated environment for the active measurement and estimation of network performance. The environment has been conceived as a generalization, unification and extension to the...
Uploaded on: December 4, 2022 -
March 28, 2017 (v1)Publication
En esta comunicación se presenta un sistema empotrado sobre FPGA de reconocimiento de voz que aplica el algoritmo LPC (Linear Predictive Coding). El sistema está basado en el procesador MicroBlaze de Xilinx. Se describe el desarrollo del sistema desde la implementación del controlador del códec de audio (tanto el hardware como el desarrollo de...
Uploaded on: March 27, 2023 -
February 3, 2022 (v1)Publication
No description
Uploaded on: March 25, 2023 -
July 6, 2018 (v1)Publication
We propose an automatic methodology framework for short- and long-term prediction of time series by means of fuzzy inference systems. In this methodology, fuzzy techniques and statistical techniques for nonparametric residual variance estimation are combined in order to build autoregressive predictive models implemented as fuzzy inference...
Uploaded on: March 27, 2023 -
November 19, 2018 (v1)Publication
A classification of inference systems based on approximate reasoning techniques is proposed. An alternative realization method is described for the particular SISC case, which enables reducing the silicon area and increasing the operation speed, making it especially appropriate for real time control applications.
Uploaded on: December 5, 2022 -
February 10, 2022 (v1)Publication
En esta comunicación se describe la realización mediante codiseño hardware/software de un sistema de dosificación que emplea técnicas de control basadas en lógica difusa. La implementación final se ha realizado sobre una placa de desarrollo que incluye una FPGA XC4005XL y un microcontrolador Intel 8031. Para el diseño del controlador difuso se...
Uploaded on: March 25, 2023 -
March 23, 2017 (v1)Publication
This paper presents briefly a review of the different algorithms and hardware implementations for multi-input min/max operators. This allow us to show how a clever utilization of MOS devices leads to very simple current and voltage-mode min/max circuits.
Uploaded on: March 27, 2023 -
June 6, 2018 (v1)Publication
Este trabajo describe una estrategia de codiseño hardware-software para la implementación de sistemas de control difusos en FPGAs. Su principal aportación radica en que permite el desarrollo conjunto de los componentes hardware y software y posibilita la verificación y diseño eficiente de este tipo de sistema. El flujo de diseño propuesto...
Uploaded on: December 5, 2022 -
September 25, 2018 (v1)Publication
Soft computing techniques are gaining momentum as tools for network traffic modeling, analysis and control. Efficient hardware implementations of these techniques that can achieve real-time operation in high-speed communications equipment is however an open problem. This paper describes a platform for the development of fuzzy systems with...
Uploaded on: December 4, 2022 -
March 23, 2017 (v1)Publication
FLEB is an electronic book which attempts to introduce the basic mathematical foundations and applications of fuzzy logic through a software environment which includes images, hypertext, sensitive elements, animations and interactive demos. It also allows executing Xfuzzy, a development tool which eases the description, verification, and...
Uploaded on: March 27, 2023 -
September 26, 2018 (v1)Publication
La dinámica del tráfico de extremo a extremo en Internet es un problema complejo para el cual los modelos disponibles son, en el mejor de los casos incompletos. Esta comunicación describe nuevos mecanismos para regulación de la tasa de transferencia de extremo a extremo en la capa de transporte por medio de sistemas difusos. Se describen una...
Uploaded on: December 4, 2022 -
February 8, 2022 (v1)Publication
Comisión Interministerial de Ciencia y Tecnología (CICYT) TIC98-0869
Uploaded on: December 4, 2022 -
July 7, 2020 (v1)Publication
Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete) linguistic rules used by human operators when describing the control process. This paper focuses on...
Uploaded on: December 4, 2022 -
March 24, 2017 (v1)Publication
The increase of resolution is one of the most important tasks in image processing. Traditional interpolation algorithms perform a linear interpolation between the closest pixels in the image. This strategy may introduce mistakes specially in the reconstruction of edges and zones with high contrast luminance values. The use of a novel...
Uploaded on: March 27, 2023 -
March 28, 2017 (v1)Publication
This paper presents Xfsl, a tool for the automatic tuning of fuzzy systems using supervised learning algorithms. The tool provides a wide set of learning algorithms, which can be used to tune complex systems. An important issue is that Xfsl is integrated into the fuzzy system development environment Xfuzzy 3.0, and hence, it can be easily...
Uploaded on: March 27, 2023 -
March 24, 2017 (v1)Publication
This paper presents the new version of Xfuzzy, Xfuzzy 3.0, which is a development environment for fuzzy-inference-based systems. It is composed by many tools that cover the different stages of the fuzzy system design process, from their initial description to the final implementation. Its main features are the capability for developing complex...
Uploaded on: December 4, 2022 -
March 29, 2017 (v1)Publication
The authors present a novel architecture for implementing general-purpose fuzzy chips which allows fully-parallel rule processing employing a reduced number of mixed-signal computing blocks and minimum-sized digital memories. The resulting fuzzy processor can interact directly with continuous sensors and actuators and the subsequent digital...
Uploaded on: March 25, 2023