Search results for "oftware"

showing 10 items of 7396 documents

Combining conjunctive rule extraction with diffusion maps for network intrusion detection

2013

Network security and intrusion detection are important in the modern world where communication happens via information networks. Traditional signature-based intrusion detection methods cannot find previously unknown attacks. On the other hand, algorithms used for anomaly detection often have black box qualities that are difficult to understand for people who are not algorithm experts. Rule extraction methods create interpretable rule sets that act as classifiers. They have mostly been combined with already labeled data sets. This paper aims to combine unsupervised anomaly detection with rule extraction techniques to create an online anomaly detection framework. Unsupervised anomaly detectio…

Computer scienceAnomaly-based intrusion detection systemNetwork securityintrusion detectiontunkeutumisen havaitseminenFeature extractionDiffusion mapdiffusion mapIntrusion detection systemMachine learningcomputer.software_genrepoikkeavuuden havaitseminenBlack boxtiedon louhintan-grammiCluster analysista113Training setrule extractionbusiness.industryn-gramanomaly detectiondiffuusiokarttakoneoppiminensääntöjen erottaminenAnomaly detectionArtificial intelligenceData miningtiedonlouhintabusinesscomputer2013 IEEE Symposium on Computers and Communications (ISCC)
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UnipaBCI a novel general software framework for brain computer interface

2017

The increasing interest in Brain Computer Interface (BCI) requires new fast, reliable and scalable frameworks that can be used by researchers to develop BCI based high performance applications in efficient and fast ways. In this paper is presented "UnipaBCI", a general software framework for BCI applications based on electroencephalogra-phy (EEG) that can fulfill these new needs. A visual evoked potentials (VEP) application has also been developed using the proposed framework in order to test the modular architecture and the overall performance. Different types of users (beginners and experts in BCI) have been involved during the "UnipaBCI" experimental test and they have exhibited good and…

Computer scienceAugmentative communication02 engineering and technologyVisual evoked potentialsHumanoid robotElectroencephalographycomputer.software_genre03 medical and health sciences0302 clinical medicineInformationSystems_MODELSANDPRINCIPLESBrain-Computer Interface (BCI) Humanoid Robot Assistive technology Augmentative Communication rehabilitation BCI frameworkHuman–computer interaction0202 electrical engineering electronic engineering information engineeringmedicineOverall performanceBrain–computer interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testRehabilitationModular architectureBCI frameworkSoftware frameworkAssistive technologyScalability020201 artificial intelligence & image processingcomputerBrain-Computer Interface (BCI)030217 neurology & neurosurgery
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Enriqueciendo la investigación en humanidades digitales. Análisis de textos de claustros académicos de la Universidad de Valencia (1775-1779) con KH …

2020

[ES] La aplicación de métodos automatizados en cualquier investigación ha facilitado el trasvase de metodologías de una disciplina a otra, permitiendo realizar análisis cuantitativos a textos con estructura o semiestructurados. El objeto de este trabajo es aplicar a un dataset en lenguaje natural -castellano del siglo XVIII- métodos de análisis de la disciplina de documentación. Pretende establecer una metodología automática de análisis cuantitativo y cualitativo de textos, que permita enriquecer en el futuro las conclusiones procedentes del análisis histórico tradicional. Este estudio construye los procedimientos necesarios para poder aplicar análisis de frecuencia, extracción y clasificac…

Computer scienceBIBLIOTECONOMIA Y DOCUMENTACIONUniversitatsLibrary and Information Sciences050905 science studiescomputer.software_genresiglo xviiiBibliography. Library science. Information resourcesQualitative analysis5202.01 Metodología de InvestigaciónClaustros universitarios1209.03 Análisis de Datoscastellano antiguoKH CoderSiglo XVIIIbusiness.industry05 social sciencesAnàlisi del discursanálisis de lenguaje naturalAutomationHumanitats InformàticaAnálisis de lenguaje naturalkh coderclaustros universitariosWork (electrical)Quantitative analysis (finance)Natural language analysisArtificial intelligence0509 other social sciencesCastellano antiguo050904 information & library sciencesbusinesscomputerWord frequency analysisNatural language processingZRevista Española de Documentación Científica
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Representation of NURBS surfaces by Controlled Iterated Functions System automata

2019

Iterated Function Systems (IFS) are a standard tool to generate fractal shapes. In a more general way, they can represent most of standard surfaces like Bézier or B-Spline surfaces known as self-similar surfaces. Controlled Iterated Function Systems (CIFS) are an extension of IFS based on automata. CIFS are basically multi-states IFS, they can handle all IFS shapes but can also manage multi self-similar shapes. For example CIFS can describe subdivision surfaces around extraordinary vertices whereas IFS cannot. Having a common CIFS formalism facilitates the development of generic methods to manage interactions (junctions, differences...) between objects of different natures.This work focuses…

Computer scienceBasis functionBézier curve02 engineering and technology[INFO] Computer Science [cs]Computer Science::Computational Geometry01 natural scienceslcsh:QA75.5-76.95Iterated function system0202 electrical engineering electronic engineering information engineeringSubdivision surface[INFO]Computer Science [cs]0101 mathematicsComputingMilieux_MISCELLANEOUSSubdivisionFinite-state machinebusiness.industry010102 general mathematicsGeneral Engineering020207 software engineeringComputer Graphics and Computer-Aided Design[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]AutomatonHuman-Computer InteractionAlgebraComputer Science::GraphicsIterated functionlcsh:Electronic computers. Computer sciencebusinessComputers & Graphics: X
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Adaptive Importance Sampling: The past, the present, and the future

2017

A fundamental problem in signal processing is the estimation of unknown parameters or functions from noisy observations. Important examples include localization of objects in wireless sensor networks [1] and the Internet of Things [2]; multiple source reconstruction from electroencephalograms [3]; estimation of power spectral density for speech enhancement [4]; or inference in genomic signal processing [5]. Within the Bayesian signal processing framework, these problems are addressed by constructing posterior probability distributions of the unknowns. The posteriors combine optimally all of the information about the unknowns in the observations with the information that is present in their …

Computer scienceBayesian probabilityPosterior probabilityInference02 engineering and technologyMachine learningcomputer.software_genre01 natural sciences010104 statistics & probabilityMultidimensional signal processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPrior probability0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringComputingMilieux_MISCELLANEOUSbusiness.industryApplied Mathematics020206 networking & telecommunicationsApproximate inferenceSignal ProcessingProbability distributionArtificial intelligencebusinessAlgorithmcomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingImportance sampling
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CSCL for NGO's Cross cultural Virtual Teams in Africa: An Ethiopian Children Advocacy Case Study against Exclusion and toward Facilitation of Express…

2005

This exploratory pilot study shows that NGO's involved in Children Advocacy through Arts in Africa are willing to use a groupware, meaning a computer supported collaborative learning (CSCL) environment. Innovative ideas and best practices among NGOs would be shared easily worldwide. Little scientific information is available to help them make a sound choice. This study suggests that some NGOs based in Ethiopia/Africa have specific needs which should translate in specific context analysis and interface development: 1) an intercultural approach to creativity, arts and innovation, and 2) emphasis should be placed on tools to facilitate asynchronous systematic conception and sharing of intra an…

Computer scienceBest practicemedia_common.quotation_subject050109 social psychologyThe artsEducationCreativityCultural diversityPedagogyCross-cultural0501 psychology and cognitive sciencesInnovationChildrenmedia_commonCollaborative softwarebusiness.industry4. EducationInformation sharing05 social sciences1. No poverty050301 educationNGOCreativityContext analysisComputer-supported collaborative learningAfricaFacilitation[SHS.GESTION]Humanities and Social Sciences/Business administrationUser interfacebusiness[SHS.GESTION] Humanities and Social Sciences/Business administration0503 educationArtMeaning (linguistics)
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Manulex-infra: Distributional characteristics of grapheme—phoneme mappings, and infralexical and lexical units in child-directed written material

2007

It is well known that the statistical characteristics of a language, such as word frequency or the consistency of the relationships between orthography and phonology, influence literacy acquisition. Accordingly, linguistic databases play a central role by compiling quantitative and objective estimates about the principal variables that affect reading and writing acquisition. We describe a new set of Web-accessible databases of French orthography whose main characteristic is that they are based on frequency analyses of words occurring in reading books used in the elementary school grades. Quantitative estimates were made for several infralexical variables (syllable, grapheme-to-phoneme mappi…

Computer scienceBigrammedia_common.quotation_subjectExperimental and Cognitive PsychologyHomophonycomputer.software_genreVocabularyManuals as TopicArts and Humanities (miscellaneous)PhoneticsReading (process)Developmental and Educational PsychologyHumansChildGeneral Psychologymedia_commonPsycholinguisticsbusiness.industryPhonologyLinguisticsWord lists by frequencyWritten languagePsychology (miscellaneous)Artificial intelligenceSyllablebusinesscomputerNatural language processingOrthographyBehavior Research Methods
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Portable low-cost open-source wireless spectrophotometer for fast and reliable measurements

2020

This article is based upon COST Action CA16215 and supported by the ERDF , European-Union Project No.1.1.1.2/16/I/001.

Computer scienceBiomedical EngineeringMobile application01 natural sciencesSpectrometerIndustrial and Manufacturing EngineeringAbsorptionSet (abstract data type)03 medical and health sciencesSoftwareArduino:NATURAL SCIENCES:Physics [Research Subject Categories]ArduinoWirelesslcsh:Science (General)InstrumentationSpectroscopy030304 developmental biologyCivil and Structural EngineeringDetection limit0303 health sciencesMeasure (data warehouse)Spectrometerbusiness.industryDynamic rangeMechanical Engineering010401 analytical chemistry0104 chemical sciencesbusinessComputer hardwarelcsh:Q1-390HardwareX
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The Brain Electrophysiological recording & STimulation (BEST) toolbox

2021

Abstract Non-invasive brain stimulation (NIBS) experiments involve many recurring procedures that are not sufficiently standardized in the community. Given the diversity in experimental design and experience of the investigators, automated but yet flexible data collection and analysis tools are needed to increase objectivity, reliability, and reproducibility of NIBS experiments. The B rain E lectrophysiological recording and ST imulation (BEST) Toolbox is a MATLAB-based, open-source software with graphical user interface that allows users to design, run, and share freely configurable multi-protocol, multi-session NIBS studies, including transcranial magnetic, electric, and ultrasound stimul…

Computer scienceBiophysicsNeurosciences. Biological psychiatry. NeuropsychiatryElectroencephalographySoftwareEMGmedicineEEGEvoked potentialtESGraphical user interfacemedicine.diagnostic_testbusiness.industryGeneral NeurosciencefMRIBrainReproducibility of ResultsElectroencephalographyEvoked Potentials MotorTranscranial Magnetic StimulationAutomationTUSToolboxInterfacingBrain stimulationTMSNeurology (clinical)businessComputer hardwareRC321-571Brain Stimulation
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Vibrational spectroscopy provides a green tool for multi-component analysis

2010

Abstract Based on the literature published in the past decade, we focus on the possibilities offered by vibrational-spectroscopy-based techniques to make multi-component analysis of samples independently of their physical state. We discuss the main chemometric tools proposed for developing calibration models and solving problems derived from spectroscopic non-idealities (e.g., highly overlapped spectral bands or the presence of spectral non-linearity), and the benefits provided by vibrational-spectroscopy-based multi-component analysis in industry. Our main objective is to show that vibrational spectroscopy provides fast analytical methods that enable non-destructive analysis and permits, i…

Computer scienceCalibration (statistics)Infrared spectroscopyMineralogySample (statistics)Spectral bandscomputer.software_genreAnalytical ChemistryChemometricsNonlinear systemComponent analysisData miningFocus (optics)computerSpectroscopyTrAC Trends in Analytical Chemistry
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