Search results for " graph"

showing 10 items of 1277 documents

Molecular Diversity Required for the Formation of Autocatalytic Sets

2019

Systems chemistry deals with the design and study of complex chemical systems. However, such systems are often difficult to investigate experimentally. We provide an example of how theoretical and simulation-based studies can provide useful insights into the properties and dynamics of complex chemical systems, in particular of autocatalytic sets. We investigate the issue of the required molecular diversity for autocatalytic sets to exist in random polymer libraries. Given a fixed probability that an arbitrary polymer catalyzes the formation of other polymers, we calculate this required molecular diversity theoretically for two particular models of chemical reaction systems, and then verify …

0301 basic medicinechemistry.chemical_classificationRandom graphPaleontologyPolymerChemical reactionGeneral Biochemistry Genetics and Molecular BiologyArticleorigin of lifeAutocatalysis03 medical and health sciences030104 developmental biology0302 clinical medicinechemistrySpace and Planetary ScienceAbiogenesisautocatalytic setslcsh:QStatistical physicslcsh:Sciencesystems chemistry030217 neurology & neurosurgeryEcology Evolution Behavior and Systematicsrandom graphsDiversity (business)Life
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Natural visibility graphs for diagnosing attention deficit hyperactivity disorder (ADHD)

2016

“NOTICE: this is the author’s version of a work that was accepted for publication in Electronic Notes in Discrete Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Electronic Notes in Discrete Mathematics, [Volume 54, October 2016, Pages 337-342] DOI 10.1016/j.endm.2016.09.058 ¨

0301 basic medicinemedia_common.quotation_subjectAttention deficit hyperactivity disorder03 medical and health sciencesDisk formatting0302 clinical medicinemedicineDiscrete Mathematics and CombinatoricsAttention deficit hyperactivity disorderNatural (music)Quality (business)Mathematicsmedia_commonNoticebusiness.industryApplied MathematicsVisibility (geometry)medicine.disease030104 developmental biologyPublishingKolmogorov-Smirnov testbusinessMATEMATICA APLICADANatural visibility graph030217 neurology & neurosurgeryCognitive psychology
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GPU-Based Optimisation of 3D Sensor Placement Considering Redundancy, Range and Field of View

2020

This paper presents a novel and efficient solution for the 3D sensor placement problem based on GPU programming and massive parallelisation. Compared to prior art using gradient-search and mixed-integer based approaches, the method presented in this paper returns optimal or good results in a fraction of the time compared to previous approaches. The presented method allows for redundancy, i.e. requiring selected sub-volumes to be covered by at least n sensors. The presented results are for 3D sensors which have a visible volume represented by cones, but the method can easily be extended to work with sensors having other range and field of view shapes, such as 2D cameras and lidars.

0303 health sciences030306 microbiologyComputer scienceVolume (computing)020207 software engineeringField of view02 engineering and technology3d sensor03 medical and health sciencesRange (mathematics)CUDAComputer engineering0202 electrical engineering electronic engineering information engineeringRedundancy (engineering)Fraction (mathematics)General-purpose computing on graphics processing units2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere

2019

Reconstructing the phylogeny of large groups of large divergent genomes remains a difficult problem to solve, whatever the methods considered. Methods based on distance matrices are blocked due to the calculation of these matrices that is impossible in practice, when Bayesian inference or maximum likelihood methods presuppose multiple alignment of the genomes, which is itself difficult to achieve if precision is required. In this paper, we propose to calculate new distances for randomly selected couples of species over iterations, and then to map the biological sequences in a space of small dimension based on the partial knowledge of this genome similarity matrix. This mapping is then used …

0303 health sciences[STAT.AP]Statistics [stat]/Applications [stat.AP]Computer scienceDimensionality reductionComputationDimension (graph theory)Complete graphMinimum spanning treeBayesian inferenceQuantitative Biology::Genomics03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION0302 clinical medicine[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Algorithm030217 neurology & neurosurgeryEigenvalues and eigenvectorsDistance matrices in phylogenyComputingMilieux_MISCELLANEOUS030304 developmental biology
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Reverse-safe data structures for text indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…

050101 languages & linguisticsComputer sciencedata structure02 engineering and technologyprivacySet (abstract data type)combinatoric0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesPattern matchingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionialgorithmSettore INF/01 - Informatica05 social sciencesSearch engine indexingINF/01 - INFORMATICAdata miningData structureMatrix multiplicationcombinatoricsExponent020201 artificial intelligence & image processingdata structure; algorithm; combinatorics; de Bruijn graph; data mining; privacyAlgorithmAdversary modelde Bruijn graphInteger (computer science)
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An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation

2020

Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…

050101 languages & linguisticsComputer sciencemedia_common.quotation_subject02 engineering and technologyImage (mathematics)Interpretation (model theory)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSegmentationQuality (business)ComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industrySmearing technique05 social sciencesPattern recognitionImage segmentationHybrid approachComputer Graphics and Computer-Aided DesignComputer Science Applications020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessHistorical document
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University Teachers as Developers of Technology-Enhanced Teaching—Do Beliefs Matter?

2019

Previous research has identified a well-established link between teachers' beliefs and the practical implications of technology-enhanced learning (TEL). Until recently, there have been few studies ...

050101 languages & linguisticsHigher educationbusiness.industryInstructional designTeaching method05 social sciencesUniversity teachers050301 educationInformation technologyComputer Science ApplicationsEducationMathematics education0501 psychology and cognitive sciencesFaculty developmentReflection (computer graphics)businessPsychology0503 educationPractical implicationsJournal of Research on Technology in Education
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Translating cultures, cultures in translation

2021

Among its several definitions, translation can be understood as ‘a rendering from one language into another’, probably the most immediate sense, as ‘a change to a different substance, form, or appe...

050101 languages & linguisticsLinguistics and LanguageCommunicationComputer sciencebusiness.industryCommunicationfungi05 social sciencesfood and beverages050301 educationmacromolecular substancesTranslation (geometry)Rendering (computer graphics)0501 psychology and cognitive sciencessense organsskin and connective tissue diseasesbusiness0503 educationLanguage and Intercultural Communication
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Operational and financial performance of Italian airport companies: A dynamic graphical model

2016

Abstract This paper provides evidence on the relationship within a set of financial and operational indicators for Italian airports over 2008–2014. The limited sample size of national and regional airports suggests to apply the penalised RCON ( V , E ) model, which falls within the class of Gaussian graphical models. It provides both estimate and easy way to visualise conditional independence structures of the variables. Moreover, it is particularly suitable for handling longitudinal data where small number of units and huge number of variables have been collected. Findings highlight that a qualified concept of size matters in determining good financial performance. Specifically, increasing…

050210 logistics & transportation05 social sciencesGeography Planning and DevelopmentTransportationSample (statistics)Economic surplus01 natural sciencesFinancial indicators Operational indicators Italy Gaussian graphical modelMicroeconomics010104 statistics & probabilityOrder (business)Low-cost carrier0502 economics and businessEconometricsFinancial analysisEconomicsRevenueProfitability indexGraphical model0101 mathematicsSettore SECS-S/01 - Statistica
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GIS Infomobility for Travellers

2016

Geographical Information Systems (GIS) are essential systems to support decisions on territorial and environmental aspects. But they not always have been properly used for this purpose. Only in recent years GIS have been getting better used for the planning, management and control of the territory. The application of GIS to the transport sector has become relevant both for management and decision-making in support of Public Administration (PA) and citizens. GIS are particularly useful for roads and routing graphs management capabilities as well as for searching the most suitable path. The results achieved in this research activity aimed to evaluate different road graphs, proprietary and fre…

050210 logistics & transportationComputer scienceWebgis Infomobility Travel time Road graph Routing application05 social sciencesControl (management)010103 numerical & computational mathematics01 natural sciencesTransport engineeringRouting (hydrology)Settore ICAR/05 - TrasportiOrder (business)0502 economics and businessInformation system0101 mathematics
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