Bio-inspired FPGA Architecture for Self-Calibration of an Image Compression Core based on Wavelet Transforms in Embedded Systems

A generic bio-inspired adaptive architecture for image compression suitable to be implemented in embedded systems is presented. The architecture allows the system to be tuned during its calibration phase. An evolutionary algorithm is responsible of making the system evolve towards the required performance. A prototype has been implemented in a Xilinx Virtex-5 FPGA featuring an adaptive wavelet transform core directed at improving image compression for specific types of images. An Evolution Strategy has been chosen as the search algorithm and its typical genetic operators adapted to allow for a hardware friendly implementation. HW/SW partitioning issues are also considered after a high level description of the algorithm is profiled which validates the proposed resource allocation in the device fabric. To check the robustness of the system and its adaptation capabilities, different types of images have been selected as validation patterns. A direct application of such a system is its deployment in an unknown environment during design time, letting the calibration phase adjust the system parameters so that it performs efcient image compression. Also, this prototype implementation may serve as an accelerator for the automatic design of evolved transform coefficients which are later on synthesized and implemented in a non-adaptive system in the final implementation device, whether it is a HW or SW based computing device. The architecture has been built in a modular way so that it can be easily extended to adapt other types of image processing cores. Details on this pluggable component point of view are also given in the paper.

Cost and energy efficient reconfigurable embedded platform using Spartan-6 FPGAs

Modern FPGAs with run-time reconfiguration allow the implementation of complex systems offering both the flexibility of software-based solutions combined with the performance of hardware. This combination of characteristics, together with the development of new specific methodologies, make feasible to reach new points of the system design space, and make embedded systems built on these platforms acquire more and more importance. However, the practical exploitation of this technique in fields that traditionally have relied on resource restricted embedded systems, is mainly limited by strict power consumption requirements, the cost and the high dependence of DPR techniques with the specific features of the device technology underneath. In this work, we tackle the previously reported problems, designing a reconfigurable platform based on the low-cost and low-power consuming Spartan-6 FPGA family. The full process to develop the platform will be detailed in the paper from scratch. In addition, the implementation of the reconfiguration mechanism, including two profiles, is reported. The first profile is a low-area and low-speed reconfiguration engine based mainly on software functions running on the embedded processor, while the other one is a hardware version of the same engine, implemented in the FPGA logic. This reconfiguration hardware block has been originally designed to the Virtex-5 family, and its porting process will be also described in this work, facing the interoperability problem among different families.

Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

This paper discusses a novel hybrid approach for text categorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is used to improve the results provided by the previous classifier, by filtering false positives and dealing with false negatives. The main advantage is that the system can be easily fine-tuned by adding specific rules for those noisy or conflicting categories that have not been successfully trained. We also describe an implementation based on k-Nearest Neighbor and a simple rule language to express lists of positive, negative and relevant (multiword) terms appearing in the input text. The system is evaluated in several scenarios, including the popular Reuters-21578 news corpus for comparison to other approaches, and categorization using IPTC metadata, EUROVOC thesaurus and others. Results show that this approach achieves a precision that is comparable to top ranked methods, with the added value that it does not require a demanding human expert workload to train

Source Language Categorization for improving a Speech into Sign Language Translation System

This paper describes a categorization module for improving the performance of a Spanish into Spanish Sign Language (LSE) translation system. This categorization module replaces Spanish words with associated tags. When implementing this module, several alternatives for dealing with non-relevant words have been studied. Non-relevant words are Spanish words not relevant in the translation process. The categorization module has been incorporated into a phrase-based system and a Statistical Finite State Transducer (SFST). The evaluation results reveal that the BLEU has increased from 69.11% to 78.79% for the phrase-based system and from 69.84% to 75.59% for the SFST.

Desarrollo de un datalink con el chip CC1110 de Texas Instruments para UAVs

Se trata de estudiar el comportamiento de un sistema basado en el chip CC1110 de Texas Instruments, para aplicaciones inalámbricas. Los dispositivos basados en este tipo de chips tienen actualmente gran profusión, dada la demanda cada vez mayor de aplicaciones de gestión y control inalámbrico. Por ello, en la primera parte del proyecto se presenta el estado del arte referente a este aspecto, haciendo mención a los sistemas operativos embebidos, FPGAs, etc. También se realiza una introducción sobre la historia de los aviones no tripulados, que son el vehículo elegido para el uso del enlace de datos. En una segunda parte se realiza el estudio del dispositivo mediante una placa de desarrollo, verificando y comprobando mediante el software suministrado, el alcance del mismo. Cabe resaltar en este punto que el control con la placa mencionada se debe hacer mediante programación de bajo nivel (lenguaje C), lo que aporta gran versatilidad a las aplicaciones que se pueden desarrollar. Por ello, en una tercera parte se realiza un programa funcional, basado en necesidades aportadas por la empresa con la que se colabora en el proyecto (INDRA). Este programa es realizado sobre el entorno de Matlab, muy útil para este tipo de aplicaciones, dada su versatilidad y gran capacidad de cálculo con variables. Para terminar, con la realización de dichos programas, se realizan pruebas específicas para cada uno de ellos, realizando pruebas de campo en algunas ocasiones, con vehículos los más similares a los del entorno real en el que se prevé utilizar. Como implementación al programa realizado, se incluye un manual de usuario con un formato muy gráfico, para que la toma de contacto se realice de una manera rápida y sencilla. Para terminar, se plantean líneas futuras de aplicación del sistema, conclusiones, presupuesto y un anexo con los códigos de programación más importantes. Abstract In this document studied the system behavior based on chip CC1110 of Texas Instruments, for wireless applications. These devices currently have profusion. Right the increasing demand for control and management wireless applications. In the first part of project presents the state of art of this aspect, with reference to the embedded systems, FPGAs, etc. It also makes a history introduction of UAVs, which are the vehicle for use data link. In the second part is studied the device through development board, verifying and checking with provided software the scope. The board programming is C language; this gives a good versatility to develop applications. Thus, in third part performing a functionally program, it based on requirements provided by company with which it collaborates, INDRA Company. This program is developed with Matlab, very useful for such applications because of its versatility and ability to use variables. Finally, with the implementation of such programs, specific tests are performed for each of them, field tests are performed in several cases, and vehicles used for this are the most similar to the actual environment plain to use. Like implementing with the program made, includes a graphical user manual, so your understanding is conducted quickly and easily. Ultimately, present future targets for system applications, conclusions, budget and annex of the most important programming codes.

The ciao prolog system

Ciao is a public domain, next generation multi-paradigm programming environment with a unique set of features: Ciao offers a complete Prolog system, supporting ISO-Prolog, but its novel modular design allows both restricting and extending the language. As a result, it allows working with fully declarative subsets of Prolog and also to extend these subsets (or ISO-Prolog) both syntactically and semantically. Most importantly, these restrictions and extensions can be activated separately on each program module so that several extensions can coexist in the same application for different modules. Ciao also supports (through such extensions) programming with functions, higher-order (with predicate abstractions), constraints, and objects, as well as feature terms (records), persistence, several control rules (breadth-first search, iterative deepening, ...), concurrency (threads/engines), a good base for distributed execution (agents), and parallel execution. Libraries also support WWW programming, sockets, external interfaces (C, Java, TclTk, relational databases, etc.), etc. Ciao offers support for programming in the large with a robust module/object system, module-based separate/incremental compilation (automatically -no need for makefiles), an assertion language for declaring (optional) program properties (including types and modes, but also determinacy, non-failure, cost, etc.), automatic static inference and static/dynamic checking of such assertions, etc. Ciao also offers support for programming in the small producing small executables (including only those builtins used by the program) and support for writing scripts in Prolog. The Ciao programming environment includes a classical top-level and a rich emacs interface with an embeddable source-level debugger and a number of execution visualization tools. The Ciao compiler (which can be run outside the top level shell) generates several forms of architecture-independent and stand-alone executables, which run with speed, efficiency and executable size which are very competive with other commercial and academic Prolog/CLP systems. Library modules can be compiled into compact bytecode or C source files, and linked statically, dynamically, or autoloaded. The novel modular design of Ciao enables, in addition to modular program development, effective global program analysis and static debugging and optimization via source to source program transformation. These tasks are performed by the Ciao preprocessor ( ciaopp, distributed separately). The Ciao programming environment also includes lpdoc, an automatic documentation generator for LP/CLP programs. It processes Prolog files adorned with (Ciao) assertions and machine-readable comments and generates manuals in many formats including postscript, pdf, texinfo, info, HTML, man, etc. , as well as on-line help, ascii README files, entries for indices of manuals (info, WWW, ...), and maintains WWW distribution sites.

Design and Validation of a Light Inference System to Support Embedded Context Reasoning

Embedded context management in resource-constrained devices (e.g. mobile phones, autonomous sensors or smart objects) imposes special requirements in terms of lightness for data modelling and reasoning. In this paper, we explore the state-of-the-art on data representation and reasoning tools for embedded mobile reasoning and propose a light inference system (LIS) aiming at simplifying embedded inference processes offering a set of functionalities to avoid redundancy in context management operations. The system is part of a service-oriented mobile software framework, conceived to facilitate the creation of context-aware applications?it decouples sensor data acquisition and context processing from the application logic. LIS, composed of several modules, encapsulates existing lightweight tools for ontology data management and rule-based reasoning, and it is ready to run on Java-enabled handheld devices. Data management and reasoning processes are designed to handle a general ontology that enables communication among framework components. Both the applications running on top of the framework and the framework components themselves can configure the rule and query sets in order to retrieve the information they need from LIS. In order to test LIS features in a real application scenario, an ?Activity Monitor? has been designed and implemented: a personal health-persuasive application that provides feedback on the user?s lifestyle, combining data from physical and virtual sensors. In this case of use, LIS is used to timely evaluate the user?s activity level, to decide on the convenience of triggering notifications and to determine the best interface or channel to deliver these context-aware alerts.

Spatial domain mitigation of out of band strong interferers in HF wide band acquisition using analog beamforming principles

We envision that dynamic multiband transmissions taking advantage of the receiver diversity (even for collocated antennas with different polarization or radiation pattern) will create a new paradigm for these links guaranteeing high quality and reliability. However, there are many challenges to face regarding the use of broadband reception where several out of band (with respect to multiband transmission) strong interferers, but still within the acquisition band, may limit dramatically the expected performance. In this paper we address this problem introducing a specific capability of the communication system that is able to mitigate these interferences using analog beamforming principles. Indeed, Higher Order Crossing (HOCs) joint statistics of the Single Input ? Multiple Output (SIMO) system are shown to effectively determine the angle on arrival of the wavefront even operating over highly distorted signals.

Patrol team language identification system for DARPA RATS P1 evaluation

This paper describes the language identification (LID) system developed by the Patrol team for the first phase of the DARPA RATS (Robust Automatic Transcription of Speech) program, which seeks to advance state of the art detection capabilities on audio from highly degraded communication channels. We show that techniques originally developed for LID on telephone speech (e.g., for the NIST language recognition evaluations) remain effective on the noisy RATS data, provided that careful consideration is applied when designing the training and development sets. In addition, we show significant improvements from the use of Wiener filtering, neural network based and language dependent i-vector modeling, and fusion.

Ontology driven description and engineering of autonomous systems: application to process system engineering

Autonomous systems refer to systems capable of operating in a real world environment without any form of external control for extended periods of time. Autonomy is a desired goal for every system as it improves its performance, safety and profit. Ontologies are a way to conceptualize the knowledge of a specific domain. In this paper an ontology for the description of autonomous systems as well as for its development (engineering) is presented and applied to a process. This ontology is intended to be applied and used to generate final applications following a model driven methodology.

Validation tool for smart screening of language disorders in pediatrics care

Primary-care pediatricians could play a key role in early detection of development disorders as quick as they might have enough time and knowledge for suitable screenings at clinical routine. This research paper focuses on the development and validation of a knowledge-based web tool whose aim is to support a smart detection of developmental disorders in early childhood. Thus, the use of the system can trigger the necessary preventive and therapeutic actions from birth until the age of six. The platform was designed on the basis of an analysis of significant 21 cases of children with language disorders that supported the creation of a specific knowledge base, its ontology and a set of description logic relations. The resulting system is being validated in a scalable approach with a team of seven experts from the fields of neonathology, pediatrics, neurology and language therapy.

Desarrollo de aplicaciones de comunicaciones inalámbricas en sistemas de monitorización estructural desarrollados en aeronáutica.

Los Sistemas de SHM o de monitorización de la integridad estructural surgen ante la necesidad de mejorar los métodos de evaluación y de test no destructivos convencionales. De esta manera, se puede tener controlado todo tipo de estructuras en las cuales su correcto estado o funcionamiento suponga un factor crítico. Un Sistema SHM permite analizar una estructura concreta capturando de manera periódica el estado de la integridad estructural, que en este proyecto se ha aplicado a estructuras aeronáuticas. P.A.M.E.L.A. (Phase Array Monitoring for Enhanced Life Assessment) es la denominación utilizada para definir una serie de equipos electrónicos para Sistemas SHM desarrollados por AERNOVA y los Grupos de Diseño Electrónico de las universidades UPV/EHU y UPM. Los dispositivos P.A.M.E.L.A. originalmente no cuentan con tecnología Wi-Fi, por lo que incorporan un módulo hardware independiente que se encarga de las comunicaciones inalámbricas, a los que se les denomina Nodos. Estos Nodos poseen un Sistema Operativo propio y todo lo necesario para administrar y organizar la red Mallada Wi-Fi. De esta manera se obtiene una red mallada inalámbrica compuesta por Nodos que interconectan los Sistemas SHM y que se encargan de transmitir los datos a los equipos que procesan los resultados adquiridos por P.A.M.E.L.A. Los Nodos son dispositivos empotrados que llevan instalados un firmware basado en una distribución de Linux para Nodos (o Routers), llamado Openwrt. Que para disponer de una red mallada necesitan de un protocolo orientado a este tipo de redes. Entre las opciones de protocolo más destacadas se puede mencionar: DSDV (Destination Sequenced Distance Vector), OLSR (Optimized Link State Routing), B.A.T.M.A.N-Adv (Better Approach To Mobile Adhoc Networking Advance), BMX (una versión de B.A.T.M.A.N-Adv), AODV (Ad hoc On-Demand Distance Vector) y el DSR (Dynamic Source Routing). Además de la existencia de protocolos orientados a las redes malladas, también hay organizaciones que se dedican a desarrollar firmware que los utilizan, como es el caso del firmware llamado Nightwing que utiliza BMX, Freifunk que utiliza OLSR o Potato Mesh que utiliza B.A.T.M.A.N-Adv. La ventaja de estos tres firmwares mencionados es que las agrupaciones que las desarrollan proporcionan las imágenes precompiladas del sistema,listas para cargarlas en distintos modelos de Nodos. En este proyecto se han instalado las imágenes en los Nodos y se han probado los protocolos BMX, OLSR y B.A.T.M.A.N.-Adv. Concluyendo que la red gestionada por B.A.T.M.A.N.-Adv era la que mejor rendimiento obtenía en cuanto a estabilidad y ancho de banda. Después de haber definido el protocolo a usar, se procedió a desarrollar una distribución basada en Openwrt, que utilice B.A.T.M.A.N.-Adv para crear la red mallada, pero que se ajuste mejor a las necesidades del proyecto, ya que Nightwing, Freifunk y Potato Mesh no lo hacían. Además se implementan aplicaciones en lenguaje ANSI C y en LabVIEW para interactuar con los Nodos y los Sistemas SHM. También se procede a hacer alguna modificación en el Hardware de P.A.M.E.L.A. y del Nodo para obtener una mejor integración entre los dos dispositivos. Y por ultimo, se prueba la transferencia de datos de los Nodos en distintos escenarios. ABSTRACT. Structural Health Monitoring (SHM) systems arise from the need of improving assessment methods and conventional nondestructive tests. Critical structures can be monitored using SHM. A SHM system analyzes periodically a specific structure capturing the state of structural integrity. The aim of this project is to contribute in the implementation of Mesh network for SHM system in aircraft structures. P.A.M.E.L.A. (Phase Array Monitoring for Enhanced Life Assessment) is the name for electronic equipment developed by AERNOVA, the Electronic Design Groups of university UPV/EHU and the Instrumentation and Applied Acoustics research group from UPM. P.A.M.E.L.A. devices were not originally equipped with Wi-Fi interface. In this project a separate hardware module that handles wireless communications (nodes) has been added. The nodes include an operating system for manage the Wi-Fi Mesh Network and they form the wireless mesh network to link SHM systems with monitoring equipment. Nodes are embedded devices with an installed firmware based on special Linux distribution used in routers or nodes, called OpenWRT. They need a Mesh Protocol to stablish the network. The most common protocols options are: DSDV (Destination Sequenced Distance Vector), OLSR (Optimized Link State Routing), BATMAN-Adv (Better Approach To Mobile Ad-hoc Networking Advance), BMX (a version of BATMAN-Adv) AODV (Ad hoc on-Demand Distance Vector) and DSR (Dynamic Source Routing). In addition, there are organizations that are dedicated to develope firmware using these Mesh Protocols, for instance: Nightwing uses BMX, Freifunk use OLSR and Potato Mesh uses BATMAN-Adv. The advantage of these three firmwares is that these groups develop pre-compiled images of the system ready to be loaded in several models of Nodes. In this project the images were installed in the nodes. In this way, BMX, OLSR and BATMAN-Adv have been tested. We conclude that the protocol BATMAN-Adv has better performance in terms of stability and bandwidth. After choosing the protocol, the objective was to develop a distribution based on OpenWRT, using BATMAN-Adv to create the mesh network. This distribution is fitted to the requirements of this project. Besides, in this project it has been developed applications in C language and LabVIEW to interact with the Nodes and the SHM systems. The project also address some modifications to the PAMELA hardware and the Node, for better integration between both elements. Finally, data transfer tests among the different nodes in different scenarios has been carried out.

Performance assessment of an architecture with adaptative interfaces for people with special needs

People in industrial societies carry more and more portable electronic devices (e.g., smartphone or console) with some kind of wireles connectivity support. Interaction with auto-discovered target devices present in the environment (e.g., the air conditioning of a hotel) is not so easy since devices may provide inaccessible user interfaces (e.g., in a foreign language that the user cannot understand). Scalability for multiple concurrent users and response times are still problems in this domain. In this paper, we assess an interoperable architecture, which enables interaction between people with some kind of special need and their environment. The assessment, based on performance patterns and antipatterns, tries to detect performance issues and also tries to enhance the architecture design for improving system performance. As a result of the assessment, the initial design changed substantially. We refactorized the design according to the Fast Path pattern and The Ramp antipattern. Moreover, resources were correctly allocated. Finally, the required response time was fulfilled in all system scenarios. For a specific scenario, response time was reduced from 60 seconds to less than 6 seconds.

BioMet®Phon: A system to monitor phonation quality in the clinics

BioMet®Phon is a software application developed for the characterization of voice in voice quality evaluation. Initially it was conceived as plain research code to estimate the glottal source from voice and obtain the biomechanical parameters of the vocal folds from the spectral density of the estimate. This code grew to what is now the Glottex®Engine package (G®E). Further demands from users in laryngology and speech therapy fields instantiated the development of a specific Graphic User Interface (GUI’s) to encapsulate user interaction with the G®E. This gave place to BioMet®Phon, an application which extracts the glottal source from voice and offers a complete parameterization of this signal, including distortion, cepstral, spectral, biomechanical, time domain, contact and tremor parameters. The semantic capabilities of biomechanical parameters are discussed. Study cases from its application to the field of laryngology and speech therapy are given and discussed. Validation results in voice pathology detection are also presented. Applications to laryngology, speech therapy, and monitoring neurological deterioration in the elder are proposed.

Sistema de recomendación semántico para la movilidad en el entorno AFRICA BUILD Portal

La Gestión de Recursos Humanos a través de Internet es un problema latente y presente actualmente en cualquier sitio web dedicado a la búsqueda de empleo. Este problema también está presente en AFRICA BUILD Portal. AFRICA BUILD Portal es una emergente red socio-profesional nacida con el ánimo de crear comunidades virtuales que fomenten la educación e investigación en el área de la salud en países africanos. Uno de los métodos para fomentar la educación e investigación es mediante la movilidad de estudiantes e investigadores entre instituciones, apareciendo así, el citado problema de la gestión de recursos humanos. Por tanto, este trabajo se centra en solventar el problema de la gestión de recursos humanos en el entorno específico de AFRICA BUILD Portal. Para solventar este problema, el objetivo es desarrollar un sistema de recomendación que ayude en la gestión de recursos humanos en lo que concierne a la selección de las mejores ofertas y demandas de movilidad. Caracterizando al sistema de recomendación como un sistema semántico el cual ofrecerá las recomendaciones basándose en las reglas y restricciones impuestas por el dominio. La aproximación propuesta se basa en seguir el enfoque de los sistemas de Matchmaking semánticos. Siguiendo este enfoque, por un lado, se ha empleado un razonador de lógica descriptiva que ofrece inferencias útiles en el cálculo de las recomendaciones y por otro lado, herramientas de procesamiento de lenguaje natural para dar soporte al proceso de recomendación. Finalmente para la integración del sistema de recomendación con AFRICA BUILD Portal se han empleado diversas tecnologías web. Los resultados del sistema basados en la comparación de recomendaciones creadas por el sistema y por usuarios reales han mostrado un funcionamiento y rendimiento aceptable. Empleando medidas de evaluación de sistemas de recuperación de información se ha obtenido una precisión media del sistema de un 52%, cifra satisfactoria tratándose de un sistema semántico. Pudiendo concluir que con la solución implementada se ha construido un sistema estable y modular posibilitando: por un lado, una fácil evolución que debería ir encaminada a lograr un rendimiento mayor, incrementando su precisión y por otro lado, dejando abiertas nuevas vías de crecimiento orientadas a la explotación del potencial de AFRICA BUILD Portal mediante la Web 3.0. ---ABSTRACT---The Human Resource Management through Internet is currently a latent problem shown in any employment website. This problem has also appeared in AFRICA BUILD Portal. AFRICA BUILD Portal is an emerging socio-professional network with the objective of creating virtual communities to foster the capacity for health research and education in African countries. One way to foster this capacity of research and education is through the mobility of students and researches between institutions, thus appearing the Human Resource Management problem. Therefore, this dissertation focuses on solving the Human Resource Management problem in the specific environment of AFRICA BUILD Portal. To solve this problem, the objective is to develop a recommender system which assists the management of Human Resources with respect to the selection of the best mobility supplies and demands. The recommender system is a semantic system which will provide the recommendations according to the domain rules and restrictions. The proposed approach is based on semantic matchmaking solutions. So, this approach on the one hand uses a Description Logics reasoning engine which provides useful inferences to the recommendation process and on the other hand uses Natural Language Processing techniques to support the recommendation process. Finally, Web technologies are used in order to integrate the recommendation system into AFRICA BUILD Portal. The results of evaluating the system are based on the comparison between recommendations created by the system and by real users. These results have shown an acceptable behavior and performance. The average precision of the system has been obtained by evaluation measures for information retrieval systems, so the average precision of the system is at 52% which may be considered as a satisfactory result taking into account that the system is a semantic system. To conclude, it could be stated that the implemented system is stable and modular. This fact on the one hand allows an easy evolution that should aim to achieve a higher performance by increasing its average precision and on the other hand keeps open new ways to increase the functionality of the system oriented to exploit the potential of AFRICA BUILD Portal through Web 3.0.