Collective unambiguous positioning with high-order BOC signals

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The unambiguous estimation of high-order BOC signals in harsh propagation conditions is still an open problem in the literature. This paper proposes to overcome the limitations observed in state-of-the-art unambiguous estimation techniques based on the application of existing direct positioning techniques and the exploitation of the spatial diversity introduced by arrays of antennas. In particular, the ambiguity problem is solved as a multiple-input multiple-output (MIMO) estimation problem in the position domain.Peer ReviewedPostprint (author's final draft

Sequential and Simultaneous Algorithms to Solve the Collision-Free Trajectory Planning Problem for Industrial Robots – Impact of Interpolation Functions and the Characteristics of the Actuators on Robot Performance

This paper has been possible thanks to the funding of Science and Innovation Ministry of the Spain Government by means of the Researching and Technologic Development Project DPI2010-20814-C02-01 (IDEMOV).Rubio Montoya, FJ.; Valero Chuliá, FJ.; Besa Gonzálvez, AJ.; Pedrosa Sanchez, AM. (2012). Sequential and Simultaneous Algorithms to Solve the Collision-Free Trajectory Planning Problem for Industrial Robots ¿ Impact of Interpolation Functions and the Characteristics of the Actuators on Robot Performance. En Robotic Systems - Applications, Control and Programming. InTech. 591-610. doi:10.5772/25970S59161

RoboARCH: An autonomous robot for analysis and documentation of historical architectures

The Mediterranean basin has an impressive amount of millenarian urban structures which have been modelled along centuries. Unfortunately, they are sometimes damaged due to both the passage of time as well as bad preservation criteria. In order to avoid these situations or reduce their effects, new preservation criteria have arisen in the last decades. These criteria aim to revitalize the historical value of these architectural remains from a cultural and economic perspective. In this line of research, the “Archaeology of Architecture” applies the theoretical principles of the archaeology to study buildings and streets, offering new methodologies of analysis. An important part of these methodologies incorporates new technologies, such as 3D scanners, robotic total stations, or virtual and augmented reality, to the data acquisition and processing tasks. The application of these technologies in the area of Historical Heritage results in a breakthrough in the graphic documentation of monuments and archaeological remains, which allows the development of new preservation strategies. Among all these new technologies, this abstract proposes the use of an autonomous robot to help identifying elements inside a building. The robot navigates through the environment, collects data and compares them against well-known historical and architectural archetypes, to find a set of candidates for each perceived pattern. The advantages of the proposed system when compared against current state-of-the-art techniques are the following: (i) the robot explores the environment autonomously using SLAM (Simultaneous Localization And Mapping) algorithms and acquires colour and depth information; (ii) no special markers, such as the targets or spheres usually employed by robotic total stations, are required; (iii) the system uses advanced image processing methods to automatically provide a first characterization of perceived borders, that will help in different identification processes, from single elements to more complex structures; (iv) obtained data are compared against historical and architectural archetypes included in a data base; (v) evaluation of the object position inside the stratigraphic sequence of the wall.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula

This work explores the use of different seismicity indicators as inputs for artificial neural networks. The combination of multiple indicators that have already been successfully used in different seismic zones by the application of feature selection techniques is proposed. These techniques evaluate every input and propose the best combination of them in terms of information gain. Once these sets have been obtained, artificial neural networks are applied to four Chilean zones (the most seismic country in the world) and to two zones of the Iberian Peninsula (a moderate seismicity area). To make the comparison to other models possible, the prediction problem has been turned into one of classification, thus allowing the application of other machine learning classifiers. Comparisons with original sets of inputs and different classifiers are reported to support the degree of success achieved. Statistical tests have also been applied to confirm that the results are significantly different than those of other classifiers. The main novelty of this work stems from the use of feature selection techniques for improving earthquake prediction methods. So, the infor-mation gain of different seismic indicators has been determined. Low ranked or null contribution seismic indicators have been removed, optimizing the method. The optimized prediction method proposed has a high performance. Finally, four Chilean zones and two zones of the Iberian Peninsula have been charac-terized by means of an information gain analysis obtained from different seismic indicators. The results confirm the methodology proposed as the best features in terms of information gain are the same for both regions.Ministerio de Ciencia y Tecnología BIA2004-01302Ministerio de Ciencia y Tecnología TIN2011-28956-C02-01Junta de Andalucía P11-TIC-752

An approach to dynamic power consumption current testing of CMOS ICs

© 1995 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.I/sub DDQ/ testing is a powerful strategy for detecting defects that do not alter the logic behavior of CMOS ICs. Such a technique is very effective especially in the detection of bridging defects although some opens can be also detected. However, an important set of open and parametric defects escape quiescent power supply current testing because they prevent current elevation. Extending the consumption current testing time, from the static period to the dynamic one (i.e. considering the transient current), defects not covered with I/sub DDQ/ can be detected. Simulations using an on-chip sensor show that this technique can reach a high coverage for defects preventing current and also for those raising the static power consumption.Peer ReviewedPostprint (published version

Determinación de las variables psicológicas y deportivas relevantes a las lesiones deportivas : un análisis bayesiano

Este estudio analiza la relación entre variables psicológicas y las lesiones deportivas. Participaron en el estudio un total de 297 deportistas, de 26 distintos deportes. Se recogieron variables biomédicas, deportivas, psicológicas y referentes a la lesión deportiva. El análisis de los datos se llevó a cabo por medio de redes Bayesianas. Nuestros resultados parecen indicar que una elevada probabilidad de autoeficacia produce dependencia estadística de más probabilidad de lesión deportiva. Esta variable recibe influencias antecedentes tanto de variables biomédicas (IMC) como de variables psicológicas (estrés). También existen variables consecuentes a la lesión: uso de estrategias de afrontamiento, y locus de control.This study analyzes the relationship between psychological and physical variables and sports injuries. A total of 297 athletes from 26 different sports participated in the study. Variables related to biomedical, psychological and sports injuries were collected. The analysis of data was performed through Bayesian networks. Our results suggest that a high probability of self-efficacy produce statistical dependence to high likelihood of sports injuries. This variable receives previous influences of biomedical variables (BMI) and psychological variables (stress). There are also consequential variables to the injury: coping strategies, and locus of control.Este estudo analisa a relação entre as variáveis psicológicas e as lesões esportivas. Participaram no estudo um total de 297 atletas de 26 deportos distintos. Foram recolhidas variáveis biomédicas, desportivas, psicológicos e referentes à lesão desportiva. A análise de dados foi realizada através de redes de Bayesianas. Os nossos resultados sugerem que uma alta probabilidade de auto-eficácia produz dependência de maior probabilidade de lesão desportiva. Esta variável recebe as influências antecedentes tanto de variáveis biomédicas (IMC) como de variáveis psicológicas (stress). Existem também variáveis consequentes à lesão: uso de estratégias de confronto e locus de controlo

Determination of the psychological and sportive variables related to sports injuries: a bayesian analysis

This study analyzes the relationship between psychological and physical variables and sports injuries. A total of 297 athletes from 26 different sports participated in the study. Variables related to biomedical, psychological and sports injuries were collected. The analysis of data was performed through Bayesian networks. Our results suggest that a high probability of self-efficacy produce statistical dependence to high likelihood of sports injuries. This variable receives previous influences of biomedical variables (BMI) and psychological variables (stress). There are also consequential variables to the injury: coping strategies, and locus of controlEste estudio analiza la relación entre variables psicológicas y las lesiones deportivas. Participaron en el estudio un total de 297 deportistas, de 26 distintos deportes. Se recogieron variables biomédicas, deportivas, psicológicas y referentes a la lesión deportiva. El análisis de los datos se llevó a cabo por medio de redes Bayesianas. Nuestros resultados parecen indicar que una elevada probabilidad de autoeficacia produce dependencia estadística de más probabilidad de lesión deportiva. Esta variable recibe influencias antecedentes tanto de variables biomédicas (IMC) como de variables psicológicas (estrés). También existen variables consecuentes a la lesión: uso de estrategias de afrontamiento, y locus de controlEste estudo analisa a relação entre as variáveis psicológicas e as lesões esportivas. Participaram no estudo um total de 297 atletas de 26 deportos distintos. Foram recolhidas variáveis biomédicas, desportivas, psicológicos e referentes à lesão desportiva. A análise de dados foi realizada através de redes de Bayesianas. Os nossos resultados sugerem que uma alta probabilidade de auto-eficácia produz dependência de maior probabilidade de lesão desportiva. Esta variável recebe as influências antecedentes tanto de variáveis biomédicas (IMC) como de variáveis psicológicas (stress). Existem também variáveis consequentes à lesão: uso de estratégias de confronto e locus de controloEsta investigación ha podido ser realizada gracias a la ayuda del Ministerio de Ciencia e Innovación (actualmente Ministerio de Economía y Competitividad), referencia PSI2011-27000

Discovery of lost genes in the genome of Acinetobacter baumannii using Anablast

Motivation: Microbial resistance to antibiotics is currently one of the greatest threats in global health. Multiple outbreaks of multi-resistant Acinetobacter baumannii strains have been documented [1] and it is necessary to find new drugs against it, and the finding of new genes in the bacteria could help in this fighting. As A. baumannii is a highly studied organism, it is difficult to find new genes by homology with traditional predictors.For this reason we have chosen the AnABlast program which is a new bioinformatics tool which has been successful in finding out new genes in eukaryotes. This program generates profiles of accumulated alignments in query amino acid sequences using a low-stringency BLAST strategy [2], which highlight regions with evolutionary meaning.Methods: First, we used AnAblast to locate new coding regions in the A. baumannii genome. After that we analyzed the regions found by AnABlast comparing them with known sequences from the GenBank database to look for the genes found in intergenic regions and we obtain a series of candidates that we need to analyze, characterize and validate.Results: We obtained nine candidates that have been characterized analyzing both its evolutionary conservation and function annotation. Eight of them were also found in other strains of A. baumannii and one could be a gene not found until now that needs to be validated.Conclusions: Using the AnABlast program we have found nine possible coding regions not detected by other methods in the reference strain of A. baumannii. Although they need validation, AnAblast has proven itself useful for gene detection in prokaryote