Search results for " big data"

showing 10 items of 23 documents

Bim and architectural heritage: Towards an operational methodology for the knowledge and the management of cultural heritage

2016

The study aims to answer the growing need for virtuously organize informational apparatuses related to Cultural Heritage. We propose a methodology that integrates multidisciplinary processes of interaction with information aimed at survey, documentation, management, knowledge and enhancement of historic artifacts. It is needed to review and update the procedure of instrumental data acquisition, standardization and structuring of the acquired data in a three-dimensional semantic model as well as the subsequent representability and accessibility of the model and the related database. If the use of Building Information Modeling has in recent years seen a consolidation in the procedures and the…

3d modeling Big data Cultural heritage HbimVirtual heritageArchitectureArchitectural drawing and designSettore ICAR/17 - Disegnocultural heritage virtual heritage big data hbim 3d modelingNA1-9428NA2695-2793
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Martínez Nadal, A.: Big data, cloud computing y otros retos jurídicos planteados por las tecnologías emergentes, Thomson Reuters Aranzadi, 2019.

2021

:CIENCIAS JURÍDICAS [UNESCO]David 1118 1123cloud computing y otros retos jurídicos planteados por las tecnologías emergentesUNESCO::CIENCIAS JURÍDICAS2070-8157 22082 Revista Boliviana de Derecho 584568 2021 32 8055253 Martínez NadalThomson Reuters AranzadiBig data [A.]A.: Big data2019. López Jiménez
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Oracle risinājumu pielietojums Big Data kontekstā

2016

Maģistra darbā tika apskatīti un analizēti Oracle un citu ražotāju piedāvātie risinājumi Big Data apstrādei un analīzei. Darbs satur teorētisku dažādu ražotāju rīku apskati un salīdzinājumu, kā arī praktisko daļu, kurā tiek analizētas datu savienošanas iespējas hibrīdā datu noliktavā. Par hibrīdo datu noliktavu tiek uzskatīta tāda datu noliktava, kurā daļa datu atrodas RDBMS sistēmā un daļa datu HDFS sistēmā. Darba galvenie mērķi ir analizēt šāda veida sistēmas veiktspēju, izmantojot dažādus datu apvienošanas veidus. Testu laikā tika apskatīti apskatīti gadījumi, kad datu apvienošana notiek RDBMS sistēmas pusē un gadījumi, kad datu apvienošana notiek HDFS sistēmas pusē, kā arī tika izpētīta…

Big Data risinājumiDatorzinātneOracle Big Data rīku analīzedatu apvienošanas veidiHibrīdās datu noliktavas modelisHDFS un RDBMS veiktspēja
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Big Data and Antitrust Enforcement

2017

The interaction between information, innovation and market outcomes is shaping the modern digital industries of the 21st century: the business models of search engines, social networks, e-commerce websites and marketplaces are highly reliant on the ability to gather and process large amount of data. At the same time, it is increasingly recognized that the use of Big Data by online platforms and intermediaries has far-reaching consequences not only on economic activity, but also on social and political mechanisms: technological developments affecting information flows affect the organization of markets as well as the nature of individual interactions and the functioning of the political proc…

Big DataAntitrustMergerPrivacyCompetition policySettore IUS/08 - Diritto CostituzionaleAntitrust; Big Data; Mergers; Privacy; Competition policyRivista Italiana di Antitrust / Italian Antitrust Review
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FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy …

Big DataFASTQ formatComputer scienceBig data02 engineering and technologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistry03 medical and health sciencesSoftwareStructural BiologySpark (mathematics)0202 electrical engineering electronic engineering information engineeringData_FILESMapReduceMapReduce; hadoop; sequence analysis; data compressionMolecular Biologylcsh:QH301-705.5030304 developmental biologyFile system0303 health sciencesSettore INF/01 - InformaticaDatabasebusiness.industryMethodology ArticleApplied MathematicsSequence analysisGenomicsData compression; Hadoop; MapReduce; Sequence analysis; Algorithms; Big Data; Data Compression; Genomics; SoftwareComputer Science Applicationslcsh:Biology (General)Software deploymentHadoopData compressionlcsh:R858-859.7020201 artificial intelligence & image processingState (computer science)businesscomputerAlgorithmsSoftwareData compressionBMC Bioinformatics
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Can google trends and wikipedia help traditional surveillance? A pilot study on measles

2019

Introduction: Cases of measles in some European countries are increasing. The aim of this study is to find the correlation between Google Trends and Wikipedia searches and the real number of cases notified. Materials and Methods: The data on Internet searches have been obtained from Google Trends and Wikipedia. The reported cases of measles were selected from January 2013 until December 2018 for Google Trends and July 2015 until December 2018 from for Wikipedia. We have selected data from four European Countries: Italy, France, Germany and Romania. The data extracted from Wikipedia and Google Trends have been moved over time (Lag), one month in the future and one month in the past. Cross-co…

Big DataInternetRomaniaMedical Informatics ComputingVaccine-preventable diseases Italy Germany France Romania Measles vaccine Big Data Internet Measles Medical Informatics Computing Medical InformaticsPilot ProjectsEuropevaccine-preventable diseasesItalyGermanyHumansOriginal ArticleFranceMeasles vaccineMedical InformaticsMeasles
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Towards human cell simulation

2019

The faithful reproduction and accurate prediction of the phe-notypes and emergent behaviors of complex cellular systems are among the most challenging goals in Systems Biology. Although mathematical models that describe the interactions among all biochemical processes in a cell are theoretically feasible, their simulation is generally hard because of a variety of reasons. For instance, many quantitative data (e.g., kinetic rates) are usually not available, a problem that hinders the execution of simulation algorithms as long as some parameter estimation methods are used. Though, even with a candidate parameterization, the simulation of mechanistic models could be challenging due to the extr…

Constraint-based modelingAgent-based simulation; Big data; Biochemical simulation; Computational intelligence; Constraint-based modeling; Fuzzy logic; High-performance computing; Model reduction; Multi-scale modeling; Parameter estimation; Reaction-based modeling; Systems biology; Theoretical Computer Science; Computer Science (all)Computer scienceBiochemical simulationDistributed computingSystems biologyBig dataComputational intelligenceContext (language use)ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONITheoretical Computer ScienceReduction (complexity)Big dataParameter estimationHigh-performance computingComputational intelligenceAgent-based simulationMathematical modelbusiness.industryModel reductionComputer Science (all)Multi-scale modelingINF/01 - INFORMATICASupercomputerVariety (cybernetics)Fuzzy logicReaction-based modelingbusinessSystems biology
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BIM e beni architettonici: verso una metodologia operativa per la conoscenza e la gestione del patrimonio culturale. BIM and architectural heritage: …

2016

The study aims to answer the growing need for virtuously organize informational apparatuses related to Cultural Heritage. We propose a methodology that integrates multidisciplinary processes of interaction with information aimed at survey, documentation, management, knowledge and enhancement of historic artifacts. It is needed to review and update the procedure of instrumental data acquisition, standardization and structuring of the acquired data in a three-dimensional semantic model as well as the subsequent representability and accessibility of the model and the related database. If the use of Building Information Modeling has in recent years seen a consolidation in the procedures and the…

Cultural Heritage Virtual Heritage Big Data HBIM 3D ModelingSettore ICAR/17 - Disegno
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The New Era of Business Digitization through the Implementation of 5G Technology in Romania

2021

The main objective of the present research is to identify the advantages and benefits that the use and implementation of 5G technology has on the development and evolution of the Romanian business environment. The study is based on a theoretical documentation regarding existing information in the field and a descriptive analysis of the evolution of the technology in Romania and worldwide. The research method chosen is a survey based on an opinion poll (questionnaire) to find out the availability of economic entities regarding the implementation of 5G technologies, the foreseen expectations and those realized by the business environment regarding the effects of 5G technologies on the economi…

Environmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentTJ807-830big data analyticsManagement Monitoring Policy and LawIndustry 4.0artificial intelligenceTD194-1955G; Industry 4.0; artificial intelligence; machine learning; virtual reality; big data analytics; internet of thingsRenewable energy sourcesEnvironmental sciencesmachine learningvirtual realityGE1-3505GSustainability
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Measuring the Rate of Information Transfer in Point-Process Data: Application to Cardiovascular Interactions

2021

We present the implementation to cardiovascular variability of a method for the information-theoretic estimation of the directed interactions between event-based data. The method allows to compute the transfer entropy rate (TER) from a source to a target point process in continuous time, thus overcoming the severe limitations associated with time discretization of event-based processes. In this work, the method is evaluated on coupled cardiovascular point processes representing the heartbeat dynamics and the related peripheral pulsation, first using a physiologically-based simulation model and then studying real point-process data from healthy subjects monitored at rest and during postural …

Heart RateEntropyHumansComputer SimulationHeartEstimation Big Data applications Data models Time measurement Pressure measurement Biomedical monitoring Heart rate variability
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