Search results for " fingerprint"

showing 10 items of 157 documents

Design and Implementation of an Efficient Fingerprint Features Extractor

2014

Biometric recognition systems are rapidly evolving technologies and their use in embedded devices for accessing and managing data and resources is a very challenging issue. Usually, they are composed of three main modules: Acquisition, Features Extraction and Matching. In this paper the hardware design and implementation of an efficient fingerprint features extractor for embedded devices is described. The proposed architecture, designed for different acquisition sensors, is composed of four blocks: Image Pre-processor, Macro-Features Extractor, Micro- Features Extractor and Master Controller. The Image Pre- processor block increases the quality level of the input raw image and performs an a…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMinutiaeBiometricsComputer sciencebusiness.industryFingerprint (computing)Feature extractionFingerprint recognitionComputer visionArtificial intelligenceFPGA Fingerprint Features Extraction Adaptive ProcessingField-programmable gate arraybusinessImage resolutionBlock (data storage)2014 17th Euromicro Conference on Digital System Design
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Introducing Pseudo-Singularity Points for Efficient Fingerprints Classification and Recognition

2010

Fingerprint classification and matching are two key issues in automatic fingerprint recognition. Generally, fingerprint recognition is based on a set of relevant local characteristics, such as ridge ending and bifurcation (minutiae). Fingerprint classification is based on fingerprint global features, such as core and delta singularity points. Unfortunately, singularity points are not always present in a fingerprint image: the acquisition process is not ideal, so that the fingerprint is broken, or the fingerprint belongs to the arch class. In the above cases, pseudo-singularity-points will be detected and extracted to make possible fingerprint classification and matching. As result, fingerpr…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMinutiaeContextual image classificationbusiness.industryComputer scienceData_MISCELLANEOUSFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionFingerprint singularity regions classification matching algorithm core and delta points fingerprint recognition systems.Statistical classificationFingerprintData_GENERALComputer visionArtificial intelligencebusinessBlossom algorithm2010 International Conference on Complex, Intelligent and Software Intensive Systems
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THE FINGERPRINT OF THE HUMAN GASTROINTESTINAL TRACT MICROBIOTA: A HYPOTHESIS OF MOLECULAR MAPPING

2017

The precise etiology of Inflammatory Bowel Disease (IDB) remains unclear and several factors are believed to play a role in its development and progression, including the composition of microbial communities resident in the gastrointestinal tract. Human intestinal microbiota are extensive with at least 15,000-36,000 bacterial species. However, thanks to the new development in sequencing and molecular taxonomic methodologies, our understanding of the microbiota population composition, dynamics, and ecology has greatly increased. Intestinal microbiota play a critical role in the maintenance of the host intestinal barrier homeostasis, while dysbiosis, which involves reduction in the microbiome…

Settore MED/12 - Gastroenterologiagastrointestinal tract microbiota dysbiosis Inflammatory Bowel Diseases molecular mapping fingerprintInflammatory Bowel DiseasesDNA FingerprintingAnti-Bacterial AgentsBacterial Typing TechniquesGastrointestinal MicrobiomeGastrointestinal TractSettore MED/18 - Chirurgia GeneraleRNA Ribosomal 16SDNA Barcoding TaxonomicDysbiosisHomeostasisHumansMolecular Targeted TherapyPrecision MedicineOligonucleotide Array Sequence Analysis
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Application of DNA techniques for identification using human dental pulp as a source of DNA

1992

Dental pulp tissue could be obtained in most cases from materials obtained under experimental conditions and from forensic casework (air accidents, burned and putrefied bodies). Teeth extracted during dental treatment (n = 30) were stored for 6 weeks and 4 years at room temperature. In addition teeth (n = 10) extracted from jaw fragments that had been stored for 15 years at room temperature, and teeth extracted post mortem from actual identification cases (n = 8) were investigated. Following extraction from dental pulp tissue the DNA concentration was measured by fluorometry. The amount of DNA obtained from the dental pulp tissue of a single tooth varied from 6 micrograms to 50 micrograms D…

Sex Determination AnalysisImmunoblottingDot blotBiologyPolymerase Chain ReactionPathology and Forensic Medicinechemistry.chemical_compoundstomatognathic systemHumansFluorometryDental PulpSouthern blotHistocompatibility TestingDna concentrationSingle toothDNA FingerprintingMolecular biologyBlotBlotting Southernstomatognathic diseaseschemistryEvaluation Studies as TopicDegraded dnaHigh molecular weight dnaDNAForensic DentistryInternational Journal of Legal Medicine
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The dynamics of soil bacterial community structure in response to yearly repeated agricultural copper treatments

2008

International audience; The annual dynamics of soil bacterial community structure, including early, dose-dependent and transient modifications, was observed consecutively at different levels of copper contamination (high: 48 kg Cu ha−1, low: 16 kg Cu ha−1) repeated yearly over a three-year field experiment. Repeated low-level Cu contamination led to an increase in community stability to metal stress without a long-term shift in the population structure, whereas repeated high-level Cu contamination induced a novel and stable bacterial community structure. Furthermore, field experimentation highlighted that episodic climatic stress can modulate copper impact by enhancing community stability.

Soil testField experimentRELATION SOL MICROORGANISMEchemistry.chemical_elementBACTERIAL COMMUNITYBiologyMicrobiologyCOPPER IMPACTSoil03 medical and health sciencesAnimal scienceSoil PollutantsMolecular BiologyFIELD EXPERIMENTEcosystemSoil Microbiology2. Zero hunger0303 health sciencesBacteria030306 microbiologyEcologyCommunity structure04 agricultural and veterinary sciencesGeneral MedicineContaminationCopper[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologychemistryARISA FINGERPRINTING13. Climate actionSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesSoil microbiologyCopper
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Protein and DNA fingerprinting of a soil bacterial community inoculated into three different sterile soils

2007

The functional and genetic structures of a soil bacterial community were characterized after inoculation into three different sterile soils using a protein and DNA fingerprinting method, respectively. Principal component analysis (PCA) of profiles revealed that, depending on soil characteristics, bacterial communities with similar genetic structures harbored different functional structures and thus could potentially be of differing ecological significance for soil functioning. Co-inertia analysis between protein fingerprinting data and the corresponding sets of soil physicochemical characteristics demonstrated the correlation between the functional structure of the bacterial community and s…

Soil testRELATION SOL MICROORGANISMEMicrobial metabolismBACTERIAL COMMUNITYCARTOGRAPHIE GENETIQUEBiologycomplex mixturesMicrobiologyMicrobiologySoilBacterial ProteinsPeptide mass fingerprintingBotanyMolecular BiologySoil MicrobiologyBacteriaInoculationPROTEIN FINGERPRINTINGGeneral MedicineDNA Fingerprinting[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologyDNA profilingSoil waterElectrophoresis Polyacrylamide GelMETAPROTEOMESoil microbiologyResearch in Microbiology
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Sampling strategy in molecular microbial ecology: influence of soil sample size on DNA fingerprinting analysis of fungal and bacterial communities.

2003

Assessing soil microbial community structure by the use of molecular techniques requires a satisfactory sampling strategy that takes into account the high microbial diversity and the heterogeneous distribution of microorganisms in the soil matrix. The influence of the sample size of three different soil types (sand, silt and clay soils) on the DNA yield and analysis of bacterial and fungal community structure were investigated. Six sample sizes from 0.125 g to 4 g were evaluated. The genetic community structure was assessed by automated ribosomal intergenic spacer analysis (A-RISA fingerprint). Variations between bacterial (B-ARISA) and fungal (F-ARISA) community structure were quantified b…

Soil testRibosomal Intergenic Spacer analysisSoil scienceBiologyMicrobiologyPolymerase Chain Reaction03 medical and health sciencesSoilMicrobial ecologyBotanyDNA Ribosomal SpacerBiomass[SDV.MP] Life Sciences [q-bio]/Microbiology and ParasitologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSSoil Microbiology030304 developmental biology2. Zero hunger0303 health sciencesPrincipal Component AnalysisPolymorphism GeneticBacteriaEcology030306 microbiologyCommunity structureFungiSoil classificationDNA15. Life on landBIOLOGIE MOLECULAIRESoil typeDNA Fingerprinting[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMicrobial population biologySoil waterElectrophoresis Polyacrylamide GelEnvironmental microbiology
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Soil REE patterns as tracers of the emplacement of metal-rich anthropogenic materials. A case study in Moa (Cuba)

2019

Purpose: Are rare earth element (REE) patterns employable as tracers in human interventions of bulk soil disturbances, when high concentrations of metals are involved in the in situ soil disturbance? In terms of bulk soil disturbance, it is difficult to distinguish between bulk soil disturbances and emplacement of new earthen material. Chemical fingerprinting, in particular REE plus yttrium, is applied across many fields, but predominantlyin tracking the sources of potential environmental contaminants. Materials and methods: The REE normalised patterns (HNO 3 :HF:HCl 3:1:1 digestion, ICP-MS) of two Calcaric Cambisols were compared with those of a Geric Ferralsol (Novic, Technic) originated …

StratigraphySettore AGR/13 - Chimica AgrariaBulk soilchemistry.chemical_elementSoil science010501 environmental sciences01 natural sciencesMiningSoil disturbance0105 earth and related environmental sciencesEarth-Surface ProcessesRare-earth elementAnomaly (natural sciences)Continental crust04 agricultural and veterinary sciencesYttriumOverburdenchemistryLanthanoidSettore AGR/14 - PedologiaEarth-Surface ProcesseYLOIDSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceREYChemical fingerprintingJournal of Soils and Sediments
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A convolutional neural network for virtual screening of molecular fingerprints

2019

In the last few years, Deep Learning (DL) gained more and more impact on drug design because it allows a huge increase of the prediction accuracy in many stages of such a complex process. In this paper a Virtual Screening (VS) procedure based on Convolutional Neural Networks (CNN) is presented, that is aimed at classifying a set of candidate compounds as regards their biological activity on a particular target protein. The model has been trained on a dataset of active/inactive compounds with respect to the Cyclin-Dependent Kinase 1 (CDK1) a very important protein family, which is heavily involved in regulating the cell cycle. One qualifying point of the proposed approach is the use of molec…

Structure (mathematical logic)0303 health sciencesVirtual screening010304 chemical physicsPoint (typography)Computer sciencebusiness.industryDeep learningProcess (computing)Pattern recognition01 natural sciencesConvolutional neural networkDrug designSet (abstract data type)03 medical and health sciencesDeep LearningVirtual Screening0103 physical sciencesMolecular fingerprintsEmbeddingArtificial intelligencebusinessBioactivity prediction030304 developmental biology
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Convolutional architectures for virtual screening

2020

Abstract Background A Virtual Screening algorithm has to adapt to the different stages of this process. Early screening needs to ensure that all bioactive compounds are ranked in the first positions despite of the number of false positives, while a second screening round is aimed at increasing the prediction accuracy. Results A novel CNN architecture is presented to this aim, which predicts bioactivity of candidate compounds on CDK1 using a combination of molecular fingerprints as their vector representation, and has been trained suitably to achieve good results as regards both enrichment factor and accuracy in different screening modes (98.55% accuracy in active-only selection, and 98.88% …

Virtual screeningComputer sciencelcsh:Computer applications to medicine. Medical informaticsMachine learningcomputer.software_genre01 natural sciencesBiochemistryDrug design03 medical and health sciencesUser-Computer InterfaceStructural Biology0103 physical sciencesRepresentation (mathematics)lcsh:QH301-705.5Molecular BiologyBioactivity predictionSelection (genetic algorithm)030304 developmental biologySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesVirtual screening010304 chemical physicsbusiness.industryApplied MathematicsResearchProcess (computing)Deep learningComputer Science Applicationslcsh:Biology (General)Molecular fingerprintslcsh:R858-859.7Artificial intelligenceDNA microarraybusinesscomputerAlgorithmsBMC Bioinformatics
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