Search results for " Algorithms"

showing 10 items of 612 documents

Additively manufactured textiles and parametric modelling by generative algorithms in orthopaedic applications

2020

Purpose The purpose of this paper is to implement a new process aimed at the design and production of orthopaedic devices fully manufacturable by additive manufacturing (AM). In this context, the use of generative algorithms for parametric modelling of additively manufactured textiles (AMTs) also has been investigated, and new modelling solutions have been proposed. Design/methodology/approach A new method for the design of customised elbow orthoses has been implemented. In particular, to better customise the elbow orthosis, a generative algorithm for parametric modelling and creation of a flexible structure, typical of an AMT, has been developed. Findings To test the developed modelling a…

0209 industrial biotechnologyTextileComputer scienceProcess (engineering)Additive manufacturingCADContext (language use)02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionCAD modeling020901 industrial engineering & automationlawParametric modellingStructure (mathematical logic)Elbow orthosibusiness.industryMechanical EngineeringGenerative algorithmsAdditively manufactured textile021001 nanoscience & nanotechnologySelective laser sinteringAM technologie0210 nano-technologybusinessAlgorithmGenerative grammar
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Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
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Gray code for derangements

2004

AbstractWe give a Gray code and constant average time generating algorithm for derangements, i.e., permutations with no fixed points. In our Gray code, each derangement is transformed into its successor either via one or two transpositions or a rotation of three elements. We generalize these results to permutations with number of fixed points bounded between two constants.

021103 operations researchMathematics::CombinatoricsRestricted permutationsApplied Mathematics0211 other engineering and technologiesGenerating algorithms0102 computer and information sciences02 engineering and technologyFixed pointGray codes01 natural sciencesCombinatoricsGray codePermutationDerangement010201 computation theory & mathematicsBounded function[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Discrete Mathematics and CombinatoricsConstant (mathematics)Rotation (mathematics)Rencontres numbersComputingMilieux_MISCELLANEOUSMathematicsDiscrete Applied Mathematics
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A framework for data-driven adaptive GUI generation based on DICOM

2018

Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. In clinical environments, a GUI must represent a sequence of steps for image investi…

0301 basic medicineDiagnostic ImagingAutomatedComputer scienceData-driven GUI generation; DICOM; Faceted classification; Graphical user interfaces; Medical diagnostic software; Algorithms; Brain; Cognition; Computers; Decision Support Systems Clinical; Diagnostic Imaging; Feasibility Studies; Humans; Magnetic Resonance Imaging; Medical Informatics; Pattern Recognition Automated; Software; Computer Graphics; Radiology Information Systems; User-Computer InterfaceGraphical user interfacesDecision Support SystemsHealth InformaticsPattern Recognitioncomputer.software_genrePattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesDICOMClinicalUser-Computer Interface0302 clinical medicineSoftwareCognitionHuman–computer interactionComputer GraphicsHumansDICOMGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFaceted classificationbusiness.industryComputersData-driven GUI generationBrainComputer Science Applications1707 Computer Vision and Pattern RecognitionMedical diagnostic softwareDecision Support Systems ClinicalMagnetic Resonance ImagingComputer Science ApplicationsVisualizationSoftware frameworkGraphical user interface030104 developmental biologyWorkflowRadiology Information SystemsInformation modelSoftware designFeasibility StudiesbusinesscomputerAlgorithmsMedical InformaticsSoftware
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Measuring spectrally-resolved information transfer.

2020

Information transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify separately frequencies sending and receiving information in a network. Our approach relies on the invertible maximum overlap discrete wavelet transform (MODWT) for the creation of surrogate data in t…

0301 basic medicineDiscrete wavelet transformInformation transferComputer scienceEntropyInformation Theory0302 clinical medicineWaveletMathematical and Statistical TechniquesMedicine and Health SciencesBiology (General)Wavelet TransformsTemporal cortexMammalsEcologySystems BiologyApplied MathematicsSimulation and ModelingPhysicsWavelet transformMagnetoencephalographyEukaryotaBrainSignal FilteringComputational Theory and MathematicsModeling and SimulationPhysical SciencesVertebratesThermodynamicsEngineering and TechnologyWavelet transforms ; Algorithms ; Magnetoencephalography ; Information entropy ; Signal filtering ; Ferrets ; Permutation ; EntropyAnatomyAlgorithmInformation EntropyAlgorithmsResearch ArticleComputer and Information SciencesQH301-705.5PermutationWavelet AnalysisPrefrontal CortexResearch and Analysis Methods03 medical and health sciencesCellular and Molecular NeuroscienceGeneticsEntropy (information theory)AnimalsHumansInformation flow (information theory)Molecular BiologyEcology Evolution Behavior and SystematicsDiscrete MathematicsFerretsOrganismsBiology and Life Sciences030104 developmental biologyCombinatoricsSignal ProcessingAmniotesTransfer entropyZoologyMathematical Functions030217 neurology & neurosurgeryMathematicsPLoS computational biology
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Detecting mutations by eBWT

2018

In this paper we develop a theory describing how the extended Burrows-Wheeler Transform (eBWT) of a collection of DNA fragments tends to cluster together the copies of nucleotides sequenced from a genome G. Our theory accurately predicts how many copies of any nucleotide are expected inside each such cluster, and how an elegant and precise LCP array based procedure can locate these clusters in the eBWT. Our findings are very general and can be applied to a wide range of different problems. In this paper, we consider the case of alignment-free and reference-free SNPs discovery in multiple collections of reads. We note that, in accordance with our theoretical results, SNPs are clustered in th…

0301 basic medicineFOS: Computer and information sciences000 Computer science knowledge general worksBWT LCP Array SNPs Reference-free Assembly-freeLCP ArraySettore INF/01 - Informatica[SDV]Life Sciences [q-bio]Reference-freeAssembly-freeSNP03 medical and health sciences030104 developmental biologyBWTBWT; LCP Array; SNPs; Reference-free; Assembly-freeComputer ScienceComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)[INFO]Computer Science [cs]SoftwareSNPs
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The colored longest common prefix array computed via sequential scans

2018

Due to the increased availability of large datasets of biological sequences, the tools for sequence comparison are now relying on efficient alignment-free approaches to a greater extent. Most of the alignment-free approaches require the computation of statistics of the sequences in the dataset. Such computations become impractical in internal memory when very large collections of long sequences are considered. In this paper, we present a new conceptual data structure, the colored longest common prefix array (cLCP), that allows to efficiently tackle several problems with an alignment-free approach. In fact, we show that such a data structure can be computed via sequential scans in semi-exter…

0301 basic medicineFOS: Computer and information sciencesAlignment-free methodsBurrows–Wheeler transformComputer scienceComputationAverage common substring0206 medical engineeringMatching statisticsScale (descriptive set theory)02 engineering and technologyTheoretical Computer Science03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Burrows-wheeler transformString (computer science)Computer Science (all)LCP arrayMatching statisticData structureSubstring030104 developmental biologyAlignment-free methods; Average common substring; Burrows-wheeler transform; Longest common prefix; Matching statistics; Theoretical Computer Science; Computer Science (all)Pairwise comparisonLongest common prefixAlgorithm020602 bioinformaticsAlignment-free method
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Alignment-free sequence comparison using absent words

2018

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realised by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free techniques, which are based on measures referring to the composition of sequences in terms of their constituent patterns. These measures, such as $q$-gram distance, are usually computed in time linear with respect to the length of the sequences. In this paper, we focus on the complementary idea: how two sequences can be efficiently compared based on information that does not occur in the sequences. A word is an {\em absent word} of some sequence if it does not oc…

0301 basic medicineFOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheorySequence alignmentInformation System0102 computer and information sciencesCircular wordAbsent words01 natural sciencesUpper and lower boundsSequence comparisonTheoretical Computer ScienceCombinatorics03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Absent wordCircular wordsMathematicsSequenceSettore INF/01 - InformaticaProcess (computing)q-gramComputer Science Applications1707 Computer Vision and Pattern Recognitionq-gramsComposition (combinatorics)Computer Science Applications030104 developmental biologyComputational Theory and MathematicsForbidden words010201 computation theory & mathematicsFocus (optics)Forbidden wordWord (computer architecture)Information SystemsInteger (computer science)
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Measuring the clustering effect of BWT via RLE

2017

Abstract The Burrows–Wheeler Transform (BWT) is a reversible transformation on which are based several text compressors and many other tools used in Bioinformatics and Computational Biology. The BWT is not actually a compressor, but a transformation that performs a context-dependent permutation of the letters of the input text that often create runs of equal letters (clusters) longer than the ones in the original text, usually referred to as the “clustering effect” of BWT. In particular, from a combinatorial point of view, great attention has been given to the case in which the BWT produces the fewest number of clusters (cf. [5] , [16] , [21] , [23] ). In this paper we are concerned about t…

0301 basic medicineGeneral Computer SciencePermutationComputer Science (all)Binary number0102 computer and information sciencesQuantitative Biology::Genomics01 natural sciencesUpper and lower boundsTheoretical Computer ScienceCombinatorics03 medical and health sciencesPermutation030104 developmental biologyTransformation (function)BWT010201 computation theory & mathematicsRun-length encodingComputer Science::Data Structures and AlgorithmsCluster analysisPrimitive root modulo nBWT; Permutation; Run-length encoding; Theoretical Computer Science; Computer Science (all)Word (computer architecture)Run-length encodingMathematics
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An improved genome assembly uncovers prolific tandem repeats in Atlantic cod

2016

AbstractBackground: The first Atlantic cod (Gadus morhua) genome assembly published in 2011 was one of the early genome assemblies exclusively based on high-throughput 454 pyrosequencing. Since then, rapid advances in sequencing technologies have led to a multitude of assemblies generated for complex genomes, although many of these are of a fragmented nature with a significant fraction of bases in gaps. The development of long-read sequencing and improved software now enable the generation of more contiguous genome assemblies.Results: By combining data from Illumina, 454 and the longer PacBio sequencing technologies, as well as integrating the results of multiple assembly programs, we have …

0301 basic medicineHeterozygoteAssembly algorithmsSequence assemblyGenomicsRepetitive DNABiologyGenome03 medical and health sciences0302 clinical medicineAssembly consolidationTandem repeatIndel polymorphismGeneticsAnimalsGadusLong-read sequencing technologyPromoter Regions GeneticMicrosatellitesRepeated sequenceGenePacBioGeneticsHeterozygosityDinucleotide repeatsMolecular Sequence AnnotationGenomicsSequence Analysis DNAbiology.organism_classification030104 developmental biologyGadus morhuaTandem Repeat SequencesEvolutionary biologyPyrosequencingAtlantic cod030217 neurology & neurosurgeryResearch ArticleBiotechnology
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