Suchergebnisse

PLASMATIC (Advanced Predictive Maintenance for the Valencian plastic industrial sector) is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (FEDER). The general objective of this project is to help the Valencian plastic sector companies to incorporate solutions from the so-called Factory 4.0, via knowledge and technologies in the fields of Big Data, Machine Learning and Business Intelligence. The main result will be an advanced predictive maintenance system to deal with: (i) anomalies detection; (ii) wear prediction; and (iii) maintenance planning optimization. This report shows the results derived from the Exploratory Data Analysis of several benchmarks available in the literature, as well as data from tests carried out by AIMPLAS in one of their injection machines. A methodology for the implementation of an Advanced Predictive Maintenance System (SMPa) is proposed, using the statistical technique Principal Component Analysis. Based on operational and sensor data, PCA computes two statistics that can monitor equipment degradation, detecting anomalies through control charts with enough time for decision making. In addition, contribution plots are able to show what is the cause of such anomaly, which is especially useful in complex systems, because it eases inspection tasks. ; PLASMATIC. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2017 with 87.210,96€. File number: IMDEEA/2017/114

The aim of this study was to assess the current extent of participation by Russian small enterprises in regional public procurement. We discussed how legislation affects the volume of contracts awarded to small enterprises. We calculated the number of contracts per 100 small enterprises, how much the number and value of such contracts account for in the total number and value of contracts concluded with all suppliers per region, as well as what is the average value of contracts per small enterprise and the average value of one such contract. In order to ensure benchmarking for enterprises located in different regions, such enterprises were assessed on the basis of relative indicators. This study used official statistics accumulated with regard to all public procurement in the regions. The data on the number of contracts and their value for the period from 2010 to 2014 were used. For the purposes of empirical data analysis, the normal distribution probability density functions set for all the indicators in question were used. The findings of this study and the tools used for assessing the extent of participation by small enterprises in public procurement can be used when researching entrepreneurship, as well as to justify the contract system development programs in Russia. Such information is important for entrepreneurs, as it enables them to assess the feasibility and consequences of participation in public procurement.

Instituto Tecnológico de Informática has a non-economic Activities Plan (PROMECE) whose general objective is to strengthen the research lines in which the Institute works, within the scope of Information and Communication Technologies (ICT). Within the Industry 4.0 and Big Data Analytics R&D Line, we work on methodologies and techniques, and in the study, application and integration of technologies in the three main pillars on which Industry 4.0 is based: Cyber Physical Systems (CPS), Internet of Things and Data Analysis. Specifically, the present deliverable shows the results of research in aspects of analysis and test concepts with Big Data and Machine Learning technologies in the Industry 4.0 for (i) anomaly detection and prediction of time to failure in Industrial machines, (ii) characterization and detection of computer attacks in industrial environment, and (iii) performance benchmarking for non-SQL databases. ; PROMECE 2016. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of IVACE network. File number: IMAMCN/2016/1

El análisis de datos es una etapa crucial en investigaciones cualitativas, influyendo la calidad y aplicabilidad de los resultados obtenidos. Los textos sobre análisis de datos suelen indicar principios generales a seguir, escaseando descripciones detalladas de los procedimientos involucrados. Los investigadores cualitativos privilegian difundir resultados de investigación, presentando muy someramente cómo se realizó el análisis y qué fundamentos epistemológicos lo sustentaron.En este artículo, se presentan tres investigaciones que utilizaron procedimientos analíticos desde enfoques biográficos-narrativos: sobre memoria colectiva de la dictadura militar chilena; transmisión transgeneracional del trauma en nietos de víctimas de prisión política y tortura durante la dictadura chilena; y procesos de transformación de subjetividades en pobladores de sectores populares en Santiago. Se presenta en detalle cómo fue diseñado, ejecutado y recreado el análisis de datos en el desarrollo de los procesos investigativos, problematizando epistemológica y metodológicamente las decisiones tomadas en cada fase.Se propone la intencionalidad analítica como una forma de enfrentar el análisis, considerando tres dimensiones: la reflexividad del investigador y su equipo; una escucha polifónica, la que abre nuevas y múltiples opciones de análisis; y el ejercicio sistemático de escritura como una forma de construcción y divulgación del conocimiento. Estas dimensiones pueden contribuir a dotar de sentido al trabajo el análisis de datos en la investigación cualitativa.

The textual data analysis origin is based on the analyzes carried out mainly on literary works, which include a recount of all Bible's words and the presentation of the first catalog of book classification of a library. At the beginning of 1900 these ideas are extended, giving rise to summaries generation of long texts, based on the analysis of frequencies and measures of relative significance of each term within a given text. From a formal statistical perspective, the text data processing takes hold when the Factorial Correspondence Analysis arises, developed for linguistic databases treatment. Now a day, the textual data statistical analysis has been sold and has increased its implementation. Among the main fields of application are: market analysis, web searches and journalistic studies, studies of psychology, education and sociology. The analyzed texts are organized and structured together in a single element. Thus, the textual data statistical analysis is defined as the process of extracting information from that element. This paper analyzes, from this perspective, of four presidential speeches in Uruguay, corresponding to Julio María Sanguinetti and Tabaré Vázquez. Both come from different ideological / political sectors, traditionally opposed / rivals and each has been part of the opposition government, during the mandate of each other. The presented results are multidimensional descriptive and are complemented by visualization elements, a tool typically used in textual data statistical analysis. The main results obtained show the difference that exists in the speeches, both at the level of the candidate and the period. ; El origen del análisis de datos textuales se remonta a los análisis realizados sobre obras literarias, destacándose un recuento de las palabras de la Biblia y el primer catálogo de clasificación de libros de una biblioteca. A principios de 1900 estas ideas se extienden dando lugar a la generación de resúmenes de largos textos, mediante análisis de frecuencias y medidas de significación relativa de cada término dentro de un texto. Desde una perspectiva estadística, el tratamiento de datos textuales se afianza cuando surge el Análisis Factorial de Correspondencias, desarrollado para el trato de datos lingüísticos. Actualmente, el análisis estadístico de textos se ha expendido y ha ido incrementando su implementación, dejando de lado las aplicaciones únicamente a obras literarias. Los principales ámbitos de aplicación son: análisis de mercado, búsquedas web, periodismo, psicología y educación, sociología y politología. Los textos analizados se estructuran de forma conjunta en un único elemento. Así, el análisis estadístico de datos textuales se define como el proceso de extraer información de dicho elemento. En este trabajo se realiza un análisis, desde esta perspectiva, de cuatro discursos presidenciales de Uruguay, correspondientes a Julio María Sanguinetti y Tabaré Vázquez. Ambos provienen de sectores ideológicos/políticos distintos, tradicionalmente opuestos/rivales y cada uno ha formado parte del gobierno como oposición, durante el mandato del otro. Los resultados son de carácter descriptivo multidimensional y se complementan con elementos de visualización. Los principales resultados obtenidos ponen de manifiesto la diferencia que existe en los discursos, a nivel tanto de candidato como de período.

The textual data analysis origin is based on the analyzes carried out mainly on literary works, which include a recount of all Bible's words and the presentation of the first catalog of book classification of a library. At the beginning of 1900 these ideas are extended, giving rise to summaries generation of long texts, based on the analysis of frequencies and measures of relative significance of each term within a given text. From a formal statistical perspective, the text data processing takes hold when the Factorial Correspondence Analysis arises, developed for linguistic databases treatment. Now a day, the textual data statistical analysis has been sold and has increased its implementation. Among the main fields of application are: market analysis, web searches and journalistic studies, studies of psychology, education and sociology. The analyzed texts are organized and structured together in a single element. Thus, the textual data statistical analysis is defined as the process of extracting information from that element. This paper analyzes, from this perspective, of four presidential speeches in Uruguay, corresponding to Julio María Sanguinetti and Tabaré Vázquez. Both come from different ideological / political sectors, traditionally opposed / rivals and each has been part of the opposition government, during the mandate of each other. The presented results are multidimensional descriptive and are complemented by visualization elements, a tool typically used in textual data statistical analysis. The main results obtained show the difference that exists in the speeches, both at the level of the candidate and the period. ; El origen del análisis de datos textuales se remonta a los análisis realizados sobre obras literarias, destacándose un recuento de las palabras de la Biblia y el primer catálogo de clasificación de libros de una biblioteca. A principios de 1900 estas ideas se extienden dando lugar a la generación de resúmenes de largos textos, mediante análisis de frecuencias y medidas de significación relativa de cada término dentro de un texto. Desde una perspectiva estadística, el tratamiento de datos textuales se afianza cuando surge el Análisis Factorial de Correspondencias, desarrollado para el trato de datos lingüísticos. Actualmente, el análisis estadístico de textos se ha expendido y ha ido incrementando su implementación, dejando de lado las aplicaciones únicamente a obras literarias. Los principales ámbitos de aplicación son: análisis de mercado, búsquedas web, periodismo, psicología y educación, sociología y politología. Los textos analizados se estructuran de forma conjunta en un único elemento. Así, el análisis estadístico de datos textuales se define como el proceso de extraer información de dicho elemento. En este trabajo se realiza un análisis, desde esta perspectiva, de cuatro discursos presidenciales de Uruguay, correspondientes a Julio María Sanguinetti y Tabaré Vázquez. Ambos provienen de sectores ideológicos/políticos distintos, tradicionalmente opuestos/rivales y cada uno ha formado parte del gobierno como oposición, durante el mandato del otro. Los resultados son de carácter descriptivo multidimensional y se complementan con elementos de visualización. Los principales resultados obtenidos ponen de manifiesto la diferencia que existe en los discursos, a nivel tanto de candidato como de período.

This report gathers the most relevant results of the analysis and design activities for the Big Data Analytics management system. In this way, this document details the requirements to be satisfied by the management system. Then, it is described the design of the Big Data Analytics management system solution. ; Radiatus. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2017 with 170.771,32€. File number: IMDEEA/2017/139

The present article shows the relationship between some representative variables of the formal institutions and the total early stage entrepreneurial activity (TEA), as an approximate variable of the entrepreneurship for 99 countries between 2004 and 2015. The methodology used was an unbalanced data panel of random effects. We found that some variables such as the transfer of R&D had negative effects, while others such as government aid had a positive impact on entrepreneurship. ; El presente artículo muestra la relación existente entre algunas variables representativas de las instituciones formales y la tasa de actividad emprendedora (TEA), como variable aproximada del emprendimiento para 99 países entre el 2004 y 2015. La metodología utilizada fue un panel de datos desbalanceado de efectos aleatorios. Se encontró que algunas variables como la transferencia de I+D tuvieron efectos negativos, mientras que otras como las ayudas gubernamentales impactaron positivamente al emprendimiento.

A field that is gaining interest in Data Mining is author profiling, the identification of patterns shared by a group of people. It includes classification problems of Web's users according to their age, gender, and political alignment, among others. This report addresses the political alignment identification problem, an author profiling task that aims at identifying political bias/orientation in people's writings. As usual in any automatic text analysis, a critical aspect here is having available adequate data sets so that the data mining and machine learning methods can obtain reliable and informative results. Thus, the experimental work uses a new corpus for the study of political alignment in documents of Argentinean journalists. The study also includes several kinds of analysis of documents of pro-government and opposition journalists such as the relevance of terms in each journalist class, sentiment analysis, topic modeling and the analysis of psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count (LIWC) system. From the experimental results, interesting patterns could be observed such as the topics both types of journalists write about, how the sentiment polarities are distributed and how the writings of pro-government and opposition journalists differ in the distinct LIWC categories. ; En la Minería de Datos, un área que ha ganado interés es la determinación del perfil del autor, que identifica patrones compartidos por un grupo de personas y aborda problemas de clasificación de los usuarios de la Web de acuerdo a edad, género, orientación política, etc. En este informe, se tomará como caso de estudio la tarea de identificación de la alineación política, la cual tiene como objetivo determinar a partir de los escritos de las personas el sesgo político. En este tipo de campo, un aspecto clave es disponer un conjunto de datos adecuados para que los procesos de minería de datos y aprendizaje automático puedan obtener resultados confiables. Para ello, se realiza la experimentación sobre un corpus para el estudio de la alineación política en documentos de periodistas argentinos. El estudio incluye varios tipos de análisis de documentos de periodistas opositores y progubernamentales, como ser la relevancia de los términos en cada clase de documentos, el análisis de sentimientos, el modelado de tópicos y el análisis de indicadores psicolingüísticos obtenidos del sistema LIWC. En los resultados experimentales, se pueden observar patrones interesantes, como por ejemplo los tópicos sobre los que escriben ambos tipos de periodistas, cómo se distribuyen las polaridades de los sentimientos y cómo los escritos de los periodistas progubernamentales y periodistas opositores difieren en las distintas categorías de LIWC.

La ciencia política ha recurrido a datos de panel o longitudinales de forma incremental en las últimas décadas. En comparación con datos transversales, las inferencias que se pueden obtener a través de datos de panel son considerablemente más reveladoras; sin embargo, su análisis no debe limitarse al modelo clásico lineal de regresión de mínimos cuadrados ordinarios. Con datos electorales reales y simulaciones, esta nota de investigación demuestra la mayor robustez de los modelos de efectos fijos y efectos aleatorios, así como los problemas con el estimador Arellano-Bond en el caso de paneles cortos en el tiempo, comunes en estudios electorales. ; Political science has relied upon panel or longitudinal data incrementally in the last decades. In comparison with cross-section data, the inferences attainable through panel data are considerably more enlightening; however, its analysis should not be limited to the classical linear model of ordinary least-squares regression. Based on real electoral data and simulations, this research note demonstrates the greater robustness of the fixed and random effects models and the problems associated to the Arellano-Bond estimator, in the case of short panels, which are common in electoral studies.

This report gathers the most relevant results of the analysis and design phases of the Big Data Analytics ECloud service. For doing so, the document details the Big Data Analytics scenario considered for implementing the ECloud related service. Then, it is detailed the analysis of the technologies required for this scenario together with the related requirements. Finally, it is detailed the design of the components and services for provisioning the ECloud service for Big Data Analytics as a Service for the selected scenario. ; Radiatus. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2017 with 170.771,32€. File number: IMDEEA/2017/139

CEI (Ciudad Energéticamente Inteligente – Energetically Smart City) aims at improving the energy and environment conditions of living areas of the city, by managing correctly the existing infrastructures and resources. The improvement will be enabled by the development of technology systems (energy nodes control technologies, energy-environmental sensors technologies, technologies for the improvement of maintenance methodologies) that make possible the control of energy and environment conditions of those areas. This project is funded by the Instituto Valenciano de Competitividad Empresarial (IVACE) and the European Union through the Fondo Europeo de Desarrollo Regional (FEDER). This work package aims at designing and developing the ICT system associated to the energy management systems considered in the project. The first layer of this architecture tackles data acquisition: energy data, weather data, and other relevant data from the energy management systems deployed in the city. After data collection, the system implements two analysis modules: · A rule-based correlation engine, which will identify events over a subset of data sources. · A big data analytics engine, which will learn from historical data by applying statistical techniques. This document describes the components of the Big Data Analytics platform, focusing on the data processing and analysis (both statistical and rule-based). Finally, a front-end web shows the information handled by the platform. ; CEI (Ciudad Energéticamente Inteligente – Energetically Smart City). Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for 2016. File number: IMDECB/2016/60

Datenanalyse ist ein sensibles Stadium im Rahmen qualitativer Forschung, da sie die Qualität und Anwendbarkeit der Ergebnisse beeinflusst. Texte explizieren in der Regel grundlegende Analyseprinzipien, bleiben aber detaillierte Beschreibung der erforderlichen Vorgehensweisen schuldig. Wie andere Wissenschaftler/innen favorisieren auch qualitative Sozialforscher/innen die Verbreitung ihrer Forschungsergebnisse, indem sie die Analysemodi und deren epistemologische Grundlagen nur kurz skizzieren.In diesem Beitrag werden drei Studien vorgestellt, in denen narrativ-biografische Verfahren zum Einsatz kamen: kollektive Erinnerungen an die chilenische Militärdiktatur, die transgenerationale Weitergabe von Traumen an die Enkel von Opfern politischer Gewalt während der Militärdiktatur sowie subjektive Transformationsprozesse über die Zeit aufseiten der Bewohner/innen armer Distrikte in Santiago. Es werden die analytischen Designs und die Umsetzung der Methoden im Forschungsprozess beschrieben, wobei verdeutlicht wird, vor welchem epistemologischen und methodologischen Hintergrund Entscheidungen in jeder der drei Studien getroffen wurden.Analytische Intentionalität wird als Möglichkeit vorgeschlagen, um 1. die Reflexivität der Forschenden bzw. von Forschungsteams angemessen einzubeziehen, 2. polyphone Lesarten im Sinne BAKHTINs zu nutzen, um neue und multiple Analyseoptionen zu eröffnen und 3. systematische Schreibweisen mit dem Ziel einer besseren Verbreitung von Wissen zu erproben. Dies soll den Prozess der Datenanalyse in qualitativen Studien transparenter machen.URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1701160 ; Data analysis is crucial in qualitative research, influencing the quality and applicability of the results. Texts on data analysis typically describe general principles to be followed but lack detailed illustrations of the procedures involved. Qualitative researchers favor the dissemination of research results, providing an outline of how the analysis was done, and summarizing the epistemological ...

The island of Ischia belongs to the active volcanic area of Naples. It is formed by quaternary volcanic rocks and it presents an intense hydrothermal activity. Exploratory data analysis (EDA) techniques based on the box-plot and class selection were applied to the analysis of As content and parameters in situ of thermal groundwater of the Ischia. The EDA applied to small sets of data, like in this case, it is an effective method to capture the empirical data distribution and the outliers, and to define appropriate intervals for the geochemical mapping. The As has been found in 86% of the aquifer points samples; in these points the value of the mean concentration of As (175.7 ppb) exceeds WHO recommended value (10 ppb) and limit set by the European and Italian legislation (98/83/CE and DM 471, respectively)

Social research on recent technological developments, such as "big data" or artificial intelligence, point to a certain ambivalence or bipolarity in the different spheres of communication where they are referred to, or even in the common sense of the different social groups. Thus, for example, there is a rhetoric favorable to these technologies that identifies them with some opportunities for different commercial sectors, such as industry 4.0, or with the benefits that they could bring in the medical field; At the same time, a critical discourse points out the risks involved in terms of advancing privacy, media and political manipulation, or the origin of new inequalities or situations of injustice. In this paper we propose a polarity analysis on a corpus of sentences that include the term "big data", constructed from news collected from Argentine online newspapers. In particular, we propose two approaches that combined will allow a more robust analysis: Analysis through the use of lexicons and dictionaries, another through the use of classifiers. This work will allow us to classify the sentences to deepen the understanding of this topic. Keywords: Big data, classifiers, artificial intelligence. ; Investigaciones sociales en torno a desarrollos tecnológicos recientes, tales como el "big data" o la inteligencia artificial, señalan una cierta ambivalencia o bipolaridad en los distintos ámbitos de comunicaciones donde los refieren, o incluso en el sentido común de los distintos grupos sociales. Así, por ejemplo, hay una retórica favorable a estas tecnologías que las identifica con algunas oportunidades para distintos sectores comerciales, tales como la industria 4.0, o con los beneficios que podría aportar en el campo médico; a la vez que un discurso crítico señala los riesgos que con llevan en materia de avance sobre la privacidad, manipulación mediática y política, o en el origen de nuevas desigualdades o situaciones de injusticia. En este trabajo proponemos un análisis de polaridad sobre un corpus de oraciones que incluyen el término "big data", construido a partir de noticias recogidas de periódicos online argentinos. Particularmente, proponemos dos abordajes que combinados permitirán un análisis más robusto: Análisis por medio del uso de lexicones y diccionario, otro por medio del uso de clasificadores. Este trabajo permitirá clasificar las oraciones para profundizar el entendimiento de esta temática. Palabras clave: Big data, clasificadores, inteligencia artificial.