Search results for "computer.software_genre"

showing 10 items of 3858 documents

Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological N…

2020

The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in it, transferred to it from one or more source systems, and modified in a synergistic or redundant way. The concepts of information transfer and modification have been recently formulated in the context of linear parametric modeling of vector stochastic processes, linking them to the notion of Granger causality and providing efficient tools for their computation based on the state&ndash

conditional transfer entropyInformation transferlinear predictionDynamical systems theoryComputer scienceState–space modelsGeneral Physics and Astronomylcsh:AstrophysicsNetwork topologycomputer.software_genrenetwork physiology01 natural sciencesArticle03 medical and health sciences0302 clinical medicinepenalized regression techniquelcsh:QB460-4660103 physical sciencesEntropy (information theory)Statistics::Methodologylcsh:Science010306 general physicspartial information decompositionmultivariate time series analysisinformation dynamics; partial information decomposition; entropy; conditional transfer entropy; network physiology; multivariate time series analysis; State–space models; vector autoregressive model; penalized regression techniques; linear predictionState–space modellcsh:QC1-999multivariate time series analysiInformation dynamicData pointpenalized regression techniquesAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaParametric modelOrdinary least squaresvector autoregressive modellcsh:QData mininginformation dynamicsentropycomputerlcsh:Physics030217 neurology & neurosurgery
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A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities

2020

The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT syst…

cooperative multi-agent systemsGeneral Computer ScienceComputer scienceContext (language use)02 engineering and technologycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]missing information estimationIntelligent sensorSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceComputingMilieux_MISCELLANEOUSGovernmentSmart cityEcological footprintMulti-agent systemGeneral Engineering020206 networking & telecommunicationsRisk analysis (engineering)13. Climate actionheterogeneous data integration020201 artificial intelligence & image processinglcsh:Electrical engineering. Electronics. Nuclear engineeringcomputerlcsh:TK1-9971Data integrationIEEE Access
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Teaching master's degree students to read research literature

2017

The skill to read research literature critically belongs in every university graduate’s toolbox. I have attempted to teach this skill in a master’s degree level course in programming languages over 15 years using, at various times, simulated conferences, voluntary reading exercises, evidence-based practice training, and a flipped classroom with mandatory reading assignments. I discuss my experience and analyze preliminary qualitative data on the use of evidence-based practice and a flipped classroom for this purpose. I present no firm conclusions, but expect that future work (by me or others) will be able to use my experience as a baseline for better teaching of research literature reading.…

critical readingEvidence-based practiceComputer sciencemedia_common.quotation_subjectevidence-based practicescience literacy02 engineering and technologycomputer.software_genreFlipped classroomlukeminenReading (process)ComputingMilieux_COMPUTERSANDEDUCATION0202 electrical engineering electronic engineering information engineeringta516critical thinkingmedia_commonta113Programming language05 social scienceskriittisyys050301 education020207 software engineeringnäyttöön perustuvat käytännötkäänteinen opetusToolboxkriittinen ajattelutieteellinen ajattelusisällönanalyysievidencebased programming language designCritical thinkingContent analysisCritical readingpyramid discussionkvalitatiivinen tutkimus0503 educationcomputerQualitative researchProceedings of the 17th Koli Calling International Conference on Computing Education Research
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Crystal structure of (E)-pent-2-enoic acid

2015

The molecule of the title compound, C5H8O2, a low-melting α,β-unsaturated carboxylic acid, is essentially planar [maximum displacement = 0.0239 (13) Å]. In the crystal, molecules are linked into centrosymmetric dimersviapairs of O—H...O hydrogen bonds.

crystal structurehydrogen bondunsaturated carb­oxy­lic acidHydrogen bondDimerGeneral ChemistryCrystal structureCondensed Matter Physicscomputer.software_genredimerData ReportsCrystallcsh:ChemistryCrystallographychemistry.chemical_compoundPlanarchemistrylcsh:QD1-999General Materials ScienceData miningMaximum displacementcomputerunsaturated carboxylic acidActa Crystallographica Section E: Crystallographic Communications
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Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems

2021

Abstract Industry 4.0 systems are extensively using artificial intelligence (AI) to enable smartness, automation and flexibility within variety of processes. Due to the importance of the systems, they are potential targets for attackers trying to take control over the critical processes. Attackers use various vulnerabilities of such systems including specific vulnerabilities of AI components. It is important to make sure that inappropriate adversarial content will not break the security walls and will not harm the decision logic of critical systems. We believe that the corresponding security toolset must be organized as a trainable self-protection mechanism similar to immunity. We found cer…

cybersecurityIndustry 4.0Computer scienceVulnerabilityneuroverkot02 engineering and technologytekoälyComputer securitycomputer.software_genreAdversarial systemImmunityTaxonomy (general)0202 electrical engineering electronic engineering information engineeringesineiden internetartificial digital immunitykyberturvallisuusGeneral Environmental ScienceFlexibility (engineering)Generative Adversarial Networksbusiness.industryMechanism (biology)020206 networking & telecommunicationsIndustry 4.0AutomationVariety (cybernetics)koneoppiminenälytekniikkaGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinesscomputerProcedia Computer Science
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Online Expression, Personal Cybersecurity Costs, and the Specter of Cybercrime

2020

The internet is used increasingly as a platform both for free expression and e-commerce. The internet has unique security and privacy risks. Such risks include the threat of criminal cyberattacks, including hacking and doxing. Internet users have a variety of attitudes towards the security and privacy risks involved with using the internet and distinct concerns and behaviors with regard to expressing themselves online. In order to mitigate the security and privacy risks of the internet, some internet users spend valuable time thinking about and configuring the security settings of their devices. They may also have different attitudes towards personal spending of money for cybersecurity prod…

cybersecurityfrustration050801 communication & media studies02 engineering and technologyprivacy concernsComputer securitycomputer.software_genre0508 media and communications020204 information systemsyksityisyys0202 electrical engineering electronic engineering information engineeringkyberturvallisuusonline expressionriskitverkkopalvelutInternetkyberrikollisuustime consumption05 social sciencesitseilmaisukuluttajakäyttäytyminenCybercrimerisk avoidanceExpression (architecture)cybercrimePsychologycomputerpersonal cybersecurity spending
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The reliability of spanish and german electricity forward prices. Databases and price discovery process

2021

Given the existence of different databases from different sources that offer information on forward electricity prices, the need to compare them arises to guarantee that research results and trading decisions based on them are not sensitive to the database used. We worked with forward electricity prices traded over the counter, closest month to maturity, covering the period from 2010 to 2016 for the Spanish over the counter (OTC) market, and from 2008 to 2016 for the German OTC market. The goal of this paper was to test whether there were significant discrepancies between the price series provided by two of the main agencies of financial information (Thomson Reuters and Bloomberg), as well …

databasesGeneral Mathematicscomputer.software_genre:CIENCIAS ECONÓMICAS [UNESCO]Price discoveryGerman0502 economics and businessComputer Science (miscellaneous)electricity050207 economicsEngineering (miscellaneous)Reliability (statistics)050208 financeprice discoveryDatabasebusiness.industrylcsh:Mathematics05 social sciencesUNESCO::CIENCIAS ECONÓMICASlcsh:QA1-939CausalityMaturity (finance)Data availabilitylanguage.human_languagelanguageOver-the-counterElectricitybusinesscomputer
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Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…

decision supportComputer science020209 energyCompromisemedia_common.quotation_subjectpäätöksentekopäätöksentukijärjestelmät02 engineering and technologycomputer.software_genreMulti-objective optimizationField (computer science)Data-drivenIntelligent agentcomputational intelligence0202 electrical engineering electronic engineering information engineeringmulti-agent systemsAgent architecturemultiple criteria optimizationGeneral Environmental Sciencemedia_commoninteractive methodsmonitavoiteoptimointiagentsRisk analysis (engineering)data-driven decision makinginteraktiivisuusälykkäät agentitGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingcomputer
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Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey

2013

Wireless sensor networks (WSNs) have been a widely researched field since the beginning of the 21st century. The field is already maturing, and TinyOS has established itself as the de facto standard WSN Operating System (OS). However, the WSN researcher community is still active in building more flexible, efficient and user-friendly WSN operating systems. Often, WSN OS design is based either on practical requirements of a particular research project or research group's needs or on theoretical assumptions spread in the WSN community. The goal of this paper is to propose WSN OS design rules that are based on a thorough survey of 40 WSN deployments. The survey unveils trends of WSN applic…

design rulesControl and OptimizationComputer Networks and CommunicationsComputer sciencecomputer.software_genreUSablelcsh:TechnologyField (computer science)ComputerApplications_MISCELLANEOUSoperating systemdeploymentsurveyComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSwireless sensor networksInstrumentationbusiness.industrylcsh:TComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSwireless sensor networks; deployment; survey; operating system; design rulesSoftware deploymentOperating systembusinessWireless sensor networkcomputerComputer networkDe facto standardJournal of Sensor and Actuator Networks; Volume 2; Issue 3; Pages: 509-556
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Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R

2019

We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.

dimension reduction; clustering; principal component analysis; multiple correspondence analysis; K-meansStatistics and Probabilitydimension reduction clustering principal component analysis multiple correspon-dence analysis K-meansFactorialmultiple correspon-dence analysisMultiple correspondence analysiComputer sciencedimension reductionprincipal component analysisk-meansmultiple correspondence analysisPrincipal component analysicomputer.software_genre01 natural sciencesCorrespondence analysis010104 statistics & probabilityMultiple correspondence analysis0101 mathematicsCluster analysisCategorical variablelcsh:Statisticslcsh:HA1-4737Dimensionality reductionk-means clusteringK-meanPrincipal component analysisData miningHA29-32Statistics Probability and UncertaintycomputerSoftwareclusteringJournal of Statistical Software
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