Search results for "Array"

showing 10 items of 1264 documents

Simultaneous radio and X-ray observations of the low-mass X-ray binary GX 13+1

2004

We present the results of two simultaneous X-ray/radio observations of the low-mass X-ray binary GX 13+1, performed in July/August 1999 with the Rossi X-ray Timing Explorer and the Very Large Array. In X-rays the source was observed in two distinct spectral states; a soft state, which had a corresponding 6 cm flux density of ~0.25 mJy, and a hard state, which was much brighter at 1.3-7.2 mJy. For the radio bright observation we measured a delay between changes in the X-ray spectral hardness and the radio brightness of ~40 minutes, similar to what has been found in the micro-quasar GRS 1915+105. We compare our results with those of GRS 1915+105 and the atoll/Z-type neutron star X-ray binarie…

Very large arrayPhysicsBrightnessAstrophysics (astro-ph)X-rayX-ray binaryFOS: Physical sciencesBinary numberAstronomy and AstrophysicsAstrophysicsAstrophysicsaccretion accretion disks / stars: individual: GX 13+1 / stars: neutron / ISM: jets and outflows / X-rays: binaries / radio continuum: starsNeutron starSoft stateSpace and Planetary ScienceLow Mass
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Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case Study

2018

Both computational performances and energy efficiency are required for the development of any mobile or embedded information processing system. The Internet of Things (IoT) is the latest evolution of these systems, paving the way for advancements in ubiquitous computing. In a context in which a large amount of data is often analyzed and processed, it is mandatory to adapt node logic and processing capabilities with respect to the available energy resources. This paper investigates under which conditions a partially reconfigurable hardware accelerator can provide energy saving in complex processing tasks. The paper also presents a useful analysis of how the dynamic partial reconfiguration te…

Control and Optimizationvideo filteringComputer sciencedigital signal processingEnergy Engineering and Power TechnologyDigital signal processing; Dynamic partial reconfiguration; Energy efficiency; Field Programmable Gate Array; Video filtering02 engineering and technologylcsh:Technology0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayEngineering (miscellaneous)Digital signal processingenergy efficiencyField Programmable Gate Arraybusiness.industryRenewable Energy Sustainability and the Environmentlcsh:Tenergy efficiency; dynamic partial reconfiguration; Field Programmable Gate Array; digital signal processing; video filteringControl reconfiguration020206 networking & telecommunicationsEnergy consumptionReconfigurable computingdynamic partial reconfigurationEmbedded system020201 artificial intelligence & image processingNode (circuits)businessEnergy (signal processing)Efficient energy useEnergy (miscellaneous)Energies
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Automatic image enhancement by picture fusion

2005

This paper describes an automatic technique able to fuse different images of the same scene, acquired with different camera settings, in order to obtain an enhanced single representation of the interested. This allows to extend the functionalities (depth of field, dynamic range) of medium and low cost digital cameras. When Multi-Scale Decomposition (MSD) is used on differently focused images, magnification and blurring effects of lens focusing systems often compromise the final image with unpleasant artifacts. In our approach new techniques able to reduce these artifacts are introduced. Even if the algorithm has been essentially designed to extend depth of field it can be also used on multi…

Image fusionDynamic rangeComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONDepth of Field (DOF) Image Fusion Color Filter Array (CFA) Multi-Scale Decomposition (MSD) Pyramidal Decomposition Dynamic Rangelaw.inventionLens (optics)lawColor gelColor filter arrayComputer visionDepth of fieldArtificial intelligencebusinessSPIE Proceedings
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Accelerating bioinformatics applications via emerging parallel computing systems [Guest editorial]

2015

The papers in this issue focus on advanced parallel computing systems for bioinformatics applications. This papers provide a forum to publish recent advances in the improvement of handling bioinformatics problems on emerging parallel computing systems. These systems can be characterized by exploiting different types of parallelism, including fine-grained versus coarse-grained and thread-level parallelism versus datalevel parallelism versus request-level parallelism. Hence, parallel computing systems based on multi- and many-core CPUs, many-core GPUs, vector processors, or FPGAs offer the promise to massively accelerate many bioinformatics algorithms and applications, ranging from computeint…

Focus (computing)Parallelism (rhetoric)Computer sciencebusiness.industryApplied MathematicsCloud computingParallel computingBioinformaticsComputing MethodologiesGeneticsData-intensive computingUnconventional computingbusinessField-programmable gate arrayMassively parallelBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.

2017

Response to antidepressant treatment in major depressive disorder (MDD) cannot be predicted currently, leading to uncertainty in medication selection, increasing costs, and prolonged suffering for many patients. Despite tremendous efforts in identifying response-associated genes in large genome-wide association studies, the results have been fairly modest, underlining the need to establish conceptually novel strategies. For the identification of transcriptome signatures that can distinguish between treatment responders and nonresponders, we herein submit a novel animal experimental approach focusing on extreme phenotypes. We utilized the large variance in response to antidepressant treatmen…

0301 basic medicineMicroarraysPhysiologyGene ExpressionBioinformaticsBiochemistryBiomarkers PharmacologicalTranscriptomeMice0302 clinical medicineGlucocorticoid receptorMedicine and Health SciencesBiology (General)DepressionGeneral NeuroscienceBrainDrugsAntidepressantsPhenotypeAntidepressive Agents3. Good healthBody FluidsParoxetineBioassays and Physiological AnalysisBloodMice Inbred DBAMultigene FamilyMajor depressive disorderAntidepressantDNA microarrayAnatomyGeneral Agricultural and Biological SciencesResearch ArticleQH301-705.5Antidepressant drug therapy ; Blood ; Gene regulation ; Biomarkers ; Depression ; Gene expression ; Microarrays ; AntidepressantsBiologyResearch and Analysis MethodsGeneral Biochemistry Genetics and Molecular BiologyBlood Plasma03 medical and health sciencesReceptors GlucocorticoidMental Health and PsychiatrymedicineGeneticsAnimalsHumansGene RegulationPharmacologyDepressive Disorder MajorGeneral Immunology and MicrobiologyMechanism (biology)Mood DisordersGene Expression ProfilingBiology and Life Sciencesmedicine.diseaseGene expression profiling030104 developmental biologyGene Expression RegulationCorticosterone030217 neurology & neurosurgeryBiomarkersPLoS biology
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Microarray-based mutation analysis of 183 Spanish families with Usher syndrome.

2010

PURPOSE. The purpose of this study was to test the ability of the genotyping microarray for Usher syndrome (USH) to identify the mutations responsible for the disease in a cohort of 183 patients with USH. METHODS. DNA from 183 patients with Usher syndrome from the Spanish population was analyzed using a genotyping microarray containing 429 previously identified disease-associated variants in eight USH genes. Mutations detected by the array were confirmed by direct sequencing. Haplotype analysis was also performed in families carrying common Spanish mutations. RESULTS. The genotyping microarray identified 43 different variants, divided into 32 disease causative and 11 probably non-pathologic…

medicine.medical_specialtyGenotypeMicroarrayUsher syndromeDNA Mutational AnalysisCadherin Related ProteinsCell Cycle ProteinsNerve Tissue ProteinsMyosinsBiologymedicine.disease_causePolymerase Chain ReactionReceptors G-Protein-CoupledMolecular geneticsGenotypemedicineotorhinolaryngologic diseasesHumansGenotypingAllelesAdaptor Proteins Signal TransducingOligonucleotide Array Sequence AnalysisGeneticsExtracellular Matrix ProteinsMutationGene Expression ProfilingHaplotypeMembrane ProteinsCadherinsmedicine.diseaseGene expression profilingCytoskeletal ProteinsSpainMyosin VIIaMutationUsher Syndromes
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A Database of Spectral Filter Array Images that Combine Visible and NIR

2017

International audience; Spectral filter array emerges as a multispectral imaging technology, which could benefit several applications. Although several instantiations are prototyped and commercialized, there are yet only a few raw data available that could serve research and help to evaluate and design adequate related image processing and algorithms. This document presents a freely available spectral filter array database of images that combine visible and near infra-red information.

Image database DemosaickingSpectral filter arraysbusiness.industryComputer scienceMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technology01 natural sciencesArray DBMSMultispectral imagingAlgorithm010309 opticsFilter (video)[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessSensor
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A real-time non-intrusive FPGA-based drowsiness detection system

2011

Automotive has gained several benefits from the Ambient Intelligent researches involving the deployment of sensors and hardware devices into an intelligent environment surrounding people, meeting users’ requirements and anticipating their needs. One of the main topics in automotive is to anticipate driver needs and safety, in terms of preventing critical and dangerous events. Considering the high number of caused accidents, one of the most relevant dangerous events affecting driver and passengers safety is driver’s drowsiness and hypovigilance. This paper presents a low-intrusive, real-time driver’s drowsiness detection system for common vehicles. The proposed system exploits the ‘‘bright p…

Drowsiness detection systemSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGeneral Computer ScienceComputer sciencebusiness.industryFrame (networking)Real-time computingAutomotive industryProcess (computing)Advanced driver assistance systemsImage processingDriver assistance systemReal-time image and video processingFPGA based prototypingEmbedded systemIntelligent environmentField-programmable gate arraybusinessJournal of Ambient Intelligence and Humanized Computing
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Automated selection of homologs to track the evolutionary history of proteins

2018

Background The selection of distant homologs of a query protein under study is a usual and useful application of protein sequence databases. Such sets of homologs are often applied to investigate the function of a protein and the degree to which experimental results can be transferred from one organism to another. In particular, a variety of databases facilitates static browsing for orthologs. However, these resources have a limited power when identifying orthologs between taxonomically distant species. In addition, in some situations, for a given query protein, it is advantageous to compare the sets of orthologs from different specific organisms: this recursive step-wise search might give …

0301 basic medicineProteomeComputer scienceComputational biologyWeb toollcsh:Computer applications to medicine. Medical informaticsBiochemistryHomology (biology)Evolution Molecular03 medical and health sciences0302 clinical medicineProtein sequencingStructural BiologyHomologous chromosomeHumansDatabases ProteinMolecular Biologylcsh:QH301-705.5OrganismProtein functionMethodology ArticleApplied MathematicsProteinsA proteinComputer Science ApplicationsHomologyEvolutionary path030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Proteomelcsh:R858-859.7DNA microarraySoftware030217 neurology & neurosurgeryBMC Bioinformatics
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The genetic tumor background is an important determinant for heterogeneous MYCN ‐amplified neuroblastoma

2016

Amplification of MYCN is the signature genetic aberration of 20–25% of neuroblastoma and a stratifying marker associated with aggressive tumor behavior. The detection of heterogeneous MYCN amplification (hetMNA) poses a diagnostic dilemma due to the uncertainty of its relevance to tumor behavior. Here, we aimed to shed light on the genomic background which permits hetMNA in neuroblastoma and tied the occurrence to other stratifying markers and disease outcome. We performed SNP analysis using Affymetrix Cytoscan HD arrays on 63 samples including constitutional DNA, tumor, bone marrow and relapse samples of 26 patients with confirmed hetMNA by MYCN‐FISH. Tumors of patients ≤18m were mostly an…

Male0301 basic medicineCancer ResearchPathologymedicine.medical_specialtyTumor Markers and Signaturesuniparental disomyAdolescentMYCN amplificationAneuploidyBiologyPolymorphism Single NucleotideN-Myc Proto-Oncogene ProteinBenign tumorGenetic HeterogeneityNeuroblastoma03 medical and health sciences0302 clinical medicineNeuroblastomamedicineHumansChildIn Situ Hybridization FluorescenceChromosome AberrationsOncogene ProteinsN-Myc Proto-Oncogene ProteinGenetic heterogeneityGene AmplificationInfantNuclear ProteinsAneuploidymedicine.diseaseUniparental disomy030104 developmental biologyOncologyChild Preschool030220 oncology & carcinogenesisintratumoral heterogeneityCancer researchFemaleChromosome DeletionTrisomySNP arrayInternational Journal of Cancer
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