Search results for "Automated"

showing 10 items of 236 documents

Antimicrobial Activity Characterization in a Heterogeneous Group of Compounds

1998

In this work we carry out a study of pattern recognition to detect the microbiological activity in a group of heterogeneous compounds. The structural descriptors utilized are the topological connectivity indexes. The methods followed are stepwise linear discriminant analysis (linear analysis) and artificial neural network (nonlinear analysis). Although both methods are appropriate to differentiate between active and inactive compounds, the artificial neural network is, in this case, more adequate, since it shows in a test set a prediction success of 98%, versus 92% obtained with linear discriminant analysis.

Heterogeneous groupMolecular StructureArtificial neural networkbusiness.industryLinear modelDiscriminant AnalysisPattern recognitionGeneral ChemistryLinear analysisAntimicrobialLinear discriminant analysisPattern Recognition AutomatedComputer Science ApplicationsAnti-Infective AgentsNonlinear DynamicsComputational Theory and MathematicsTest setPattern recognition (psychology)Linear ModelsNeural Networks ComputerArtificial intelligencebusinessInformation SystemsMathematicsJournal of Chemical Information and Computer Sciences
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Software for automated application of a reference-based method fora posterioridetermination of the effective radiographic imaging geometry

2005

Objectives: Presentation and validation of software developed for automated and accurate application of a reference-based algorithm (reference sphere method: RSM) inferring the effective imaging geometry from quantitative radiographic image analysis. Methods: The software uses modern pattern recognition and computer vision algorithms adapted for the particular application of automated detection of the reference sphere shadows (ellipses) with subpixel accuracy. It applies the RSM algorithm to the shadows detected, thereby providing threedimensional Cartesian coordinates of the spheres. If the three sphere centres do not lie on one line, they uniquely determine the imaging geometry. Accuracy …

Image formationSoftware ValidationImage registrationGeometryMandibleEllipsePattern Recognition Automatedlaw.inventionImaging Three-DimensionalSoftwareArtificial IntelligenceSoftware DesignlawImage Processing Computer-AssistedHumansSuperimpositionRadiology Nuclear Medicine and imagingCartesian coordinate systemGeneral DentistryMathematicsbusiness.industryRadiography Dental DigitalGeneral MedicineSubpixel renderingOtorhinolaryngologyCalibrationLine (geometry)businessAlgorithmsSoftwareDentomaxillofacial Radiology
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Calibration of in situ chlorophyll fluorometers for organic matter

2019

AbstractOrganic matter (OM) other than living phytoplankton is known to affect fluorometric in situ assessments of chlorophyll in lakes. For this reason, calibrating fluorometric measurements for OM error is important. In this study, chlorophyll (Chl) fluorescence was measured in situ in multiple Finnish lakes using two sondes equipped with Chl fluorometers (ex.470/em.650–700 nm). OM absorbance (A420) was measured from water samples, and one of the two sondes was also equipped with in situ fluorometer for OM (ex.350/em.430 nm). The sonde with Chl and OM fluorometers was also deployed continuously on an automated water quality monitoring station on Lake Konnevesi. For data from multiple lake…

In situveden väri010504 meteorology & atmospheric sciencesFinnish lakesNorthern Europe010501 environmental sciences01 natural scienceschemistry.chemical_compoundFluorometerlakesCentral Finlandautomated monitoringVesijärviFinlandorganic matterwater colourchemistry.chemical_classificationhumic lakes6. Clean waterhumusjärvetEuropeEnvironmental chemistryorgaaninen ainesfluorescenceorgaaninen aineVanajavesiklorofylliChlorophyll aoptical sensorskalibraatiochlorophyll aAquatic SciencejärvetAbsorbancePhytoplanktonOrganic matterSouthern FinlandJyväsjärvivedenväri0105 earth and related environmental sciencesin situfluoresenssivedenlaatucalibrationautomaattinen seurantaoptiset anturitchemistryChlorophyllKonnevesisuomalaiset järvetEnvironmental scienceWater qualityHydrobiologia
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Enabling robotic adaptive behaviour capabilities for new industry 4.0 automated quality inspection paradigms

2020

The seamless integration of industrial robotic arms with server computers, sensors and actuators can revolutionise the way in which automated non-destructive testing (NDT) is performed and conceived. Achieving effective integration and realising the full potential of robotic systems presents significant challenges, since robots, sensors and end-effector tools are often not necessarily designed to be put together and form a holistic system. This paper presents recent breakthroughs, opening up new scenarios for the inspection of product quality in advanced manufacturing. Many years of research have brought to software platforms the ability to integrate external data acquisition instrumentatio…

Industry 4.0Computer scienceTK0211 other engineering and technologies02 engineering and technology01 natural sciencesSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineSoftware0103 physical sciencesMaterials ChemistryAutomated and robotic NDTAdvanced manufacturingMotion planning010301 acousticscomputer.programming_language021103 operations researchbusiness.industryMechanical EngineeringMetals and AlloysRobotics Quality Inspection Adaptive Industry 4.0Python (programming language)Industry 4.0ToolboxMechanics of MaterialsSystems engineeringAutonomous inspectionRobotbusinessRobotic armcomputer
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Fundamentals of automated human gesture recognition using 3D integral imaging: a tutorial

2020

Automated human gesture recognition is receiving significant research interest, with applications ranging from novel acquisition techniques to algorithms, data processing, and classification methodologies. This tutorial presents an overview of the fundamental components and basics of the current 3D optical image acquisition technologies for gesture recognition, including the most promising algorithms. Experimental results illustrate some examples of 3D integral imaging, which are compared to conventional 2D optical imaging. Examples of classifying human gestures under normal and degraded conditions, such as low illumination and the presence of partial occlusions, are provided. This tutorial…

Integral imagingData processingbusiness.industryComputer scienceImage qualityComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONautomated human gesture recognitionRangingImage processing02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesAtomic and Molecular Physics and Optics010309 opticsoptical imagingStatistical classification3D integral imagingGesture recognition0103 physical sciencesComputer visionArtificial intelligence0210 nano-technologybusinessGestureAdvances in Optics and Photonics
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Novel isatin-derived molecules activate p53 via interference with Mdm2 to promote apoptosis

2018

International audience; The p53 protein is a key tumor suppressor in mammals. In response to various forms of genotoxic stress p53 stimulates expression of genes whose products induce cell cycle arrest and/or apoptosis. An E3-ubiquitin ligase, Mdm2 (mouse-double-minute 2) and its human ortholog Hdm2, physically interact with the amino-terminus of p53 to mediate its ubiquitin-mediated degradation via the proteasome. Thus, pharmacological inhibition of the p53-Mdm2 interaction leads to overall stabilization of p53 and stimulation of its anti-tumorigenic activity. In this study we characterize the biological effects of a novel class of non-genotoxic isatin Schiff and Mannich base derivatives (…

Isatin0301 basic medicineProgrammed cell deathCell cycle checkpointAntineoplastic AgentsApoptosis[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologyPiperazinesHistonesMice03 medical and health scienceschemistry.chemical_compound0302 clinical medicineNutlinCell Line TumorProto-Oncogene ProteinsAnimalsHumansMolecular Biologychemistry.chemical_classificationDNA ligaseIsatinImidazolesISMBDsProto-Oncogene Proteins c-mdm2Cell BiologyNutlinp53-activating moleculesCell biology030104 developmental biologychemistryProteasomeApoptosis030220 oncology & carcinogenesisbiology.proteinMdm2PumaTumor Suppressor Protein p53Apoptosis Regulatory Proteinsautomated microscopy system OperettaResearch PaperDevelopmental BiologyCell Cycle
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Dynamic laser speckle analyzed considering inhomogeneities in the biological sample

2017

Dynamic laser speckle phenomenon allows a contactless and nondestructive way to monitor biological changes that are quantified by second-order statistics applied in the images in time using a secondary matrix known as time history of the speckle pattern (THSP). To avoid being time consuming, the traditional way to build the THSP restricts the data to a line or column. Our hypothesis is that the spatial restriction of the information could compromise the results, particularly when undesirable and unexpected optical inhomogeneities occur, such as in cell culture media. It tested a spatial random approach to collect the points to form a THSP. Cells in a culture medium and in drying paint, repr…

LightSurface PropertiesComputer scienceGaussianNormal DistributionBiomedical EngineeringCoffeaSample (statistics)01 natural sciencesPattern Recognition Automated010309 opticsBiomaterialsMicesymbols.namesakeSpeckle patternOpticsPosition (vector)NeoplasmsElectronic speckle pattern interferometry0103 physical sciencesImage Processing Computer-AssistedAnimalsbusiness.industryLasersQuantization (signal processing)Speckle noise04 agricultural and veterinary sciencesImage EnhancementAtomic and Molecular Physics and OpticsCulture MediaElectronic Optical and Magnetic MaterialsRAW 264.7 CellsSeedsLine (geometry)Cats040103 agronomy & agriculturesymbols0401 agriculture forestry and fisheriesbusinessBiological systemAlgorithmsJournal of Biomedical Optics
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qFIBS: A Novel Automated Technique for Quantitative Evaluation of Fibrosis, Inflammation, Ballooning, and Steatosis in Patients With Nonalcoholic Ste…

2020

[Background and Aims] Nonalcoholic steatohepatitis (NASH) is a common cause of chronic liver disease. Clinical trials use the NASH Clinical Research Network (CRN) system for semiquantitative histological assessment of disease severity. Interobserver variability may hamper histological assessment, and diagnostic consensus is not always achieved. We evaluate a second harmonic generation/two‐photon excitation fluorescence (SHG/TPEF) imaging‐based tool to provide an automated quantitative assessment of histological features pertinent to NASH.

Liver CirrhosisMale0301 basic medicineBiopsyChronic liver diseaseSeverity of Illness IndexGastroenterologyHepatitis0302 clinical medicineNon-alcoholic Fatty Liver DiseaseFibrosisNonalcoholic fatty liver diseaseqFibrosisNASH; automated; qFIBS; qFibrosis; quantitative evaluationNASH FIBROSISmedicine.diagnostic_testNASHMiddle AgedReference Standards3. Good healthLiverDimensional Measurement AccuracyLiver biopsyFemale030211 gastroenterology & hepatologyAlgorithmsmedicine.medical_specialtydigestive systemWhite People03 medical and health sciencesAsian PeopleInternal medicineImage Interpretation Computer-AssistedSeverity of illnessmedicineHumansqFIBSHepatologyReceiver operating characteristicbusiness.industryReproducibility of Resultsmedicine.diseasequantitative evaluationdigestive system diseasesConfidence intervalFatty Liver030104 developmental biologyautomatedSteatosisbusinessHepatology
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A smart and operator independent system to delineate tumours in Positron Emission Tomography scans

2018

Abstract Positron Emission Tomography (PET) imaging has an enormous potential to improve radiation therapy treatment planning offering complementary functional information with respect to other anatomical imaging approaches. The aim of this study is to develop an operator independent, reliable, and clinically feasible system for biological tumour volume delineation from PET images. Under this design hypothesis, we combine several known approaches in an original way to deploy a system with a high level of automation. The proposed system automatically identifies the optimal region of interest around the tumour and performs a slice-by-slice marching local active contour segmentation. It automa…

Lung NeoplasmsComputer sciencemedicine.medical_treatmentPET imagingPattern Recognition Automated030218 nuclear medicine & medical imaging0302 clinical medicineNeoplasmsImage Processing Computer-AssistedSegmentationDiagnosis Computer-AssistedNeoplasm MetastasisRadiation treatment planningSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniObserver VariationActive contour modelmedicine.diagnostic_testBrain NeoplasmsPhantoms ImagingComputer Science ApplicationsHead and Neck NeoplasmsPositron emission tomography030220 oncology & carcinogenesis18F-fluoro-2-deoxy-d-glucoseAlgorithms18F-fluoro-2-deoxy-d-glucose and 11C-labeled methionine PET imagingSimilarity (geometry)Health InformaticsSensitivity and SpecificityNOActive contour algorithm03 medical and health sciencesFluorodeoxyglucose F18Predictive Value of TestsRegion of interestmedicineHumansFalse Positive ReactionsRetrospective Studies18F-fluoro-2-deoxy-d-glucose 11C-labeled methionine PET imaging Active contour algorithm Biological target volume Cancer segmentationbusiness.industryRadiotherapy Planning Computer-Assisted11C-labeled methionineReproducibility of ResultsPattern recognitionGold standard (test)Cancer segmentationRadiation therapyBiological target volumePositron-Emission TomographyArtificial intelligenceTomography X-Ray ComputedbusinessSoftwareComputers in Biology and Medicine
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Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort

2008

This paper considers motion control for a cooperative system of automated passenger vehicles. It develops a cooperative scheme based on a decentralized planning algorithm which considers the vehicles in an initial open chain configuration. In this scheme the trajectories are intersections-free, and each trajectory is planned independently of the others. To ensure the stabilization of each vehicle in the planned trajectory, a fuzzy closed loop motion control is presented, where, based on the properties of the Fuzzy maps, the Lyapunov’s stability of the motion errors is demonstrated for all the vehicles. Based on the ISO 2631-1 standard, the saturation property of the Fuzzy maps guarantees lo…

Lyapunov functionEngineeringAdaptive controlbusiness.industryControl engineeringBody movementFuzzy control systemMotion controlAutomated Vehicles Cooperation Fuzzy Control Lyapunov's stability Motion control passengers comfortFuzzy logicComputer Science::Roboticssymbols.namesakeSettore ING-INF/04 - AutomaticaFuzzy Control motion control ground vehicles passenger comfortControl and Systems EngineeringControl theoryTrajectorysymbolsElectrical and Electronic EngineeringDecentralized planningbusinessAutomatica
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