Search results for "complexi"

showing 10 items of 1116 documents

Toward a New Plant-Wide Experimental and Modeling Approach for Reduction of Greenhouse Gas Emission from Wastewater Treatment Plants

2019

Mechanisms causing greenhouse gas (GHG) emission in wastewater treatment plants are of great interest among researchers, encouraging the development of new methods for wastewater management. Wastewater treatment plants (WWTPs) emit three major greenhouse gases during the treatment processes: CO2, CH4, and N2O. Additional amounts of CO2 and CH4 are produced during energy consumption, which can be considered an indirect source of GHGs. Recently, several efforts have been undertaken to assess GHGs from WWTPs, with particular attention paid to the N2O assessment due to its high warming potential (300 times stronger than CO2). This study proposes an integrated model platform for WWTP simulation,…

Environmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleWaste management0208 environmental biotechnology02 engineering and technologyModelling020801 environmental engineeringReduction (complexity)Energy consumptionWastewaterGreenhouse gasEnvironmental ChemistryEnvironmental scienceGreenhouse gas (GHG) emissionSewage treatmentWastewater treatment plants (WWTPs)Decision support systemGeneral Environmental ScienceCivil and Structural Engineering
researchProduct

CUDA-Accelerated Alignment of Subsequences in Streamed Time Series Data

2014

Euclidean Distance (ED) and Dynamic Time Warping (DTW) are cornerstones in the field of time series data mining. Many high-level algorithms like kNN-classification, clustering or anomaly detection make excessive use of these distance measures as subroutines. Furthermore, the vast growth of recorded data produced by automated monitoring systems or integrated sensors establishes the need for efficient implementations. In this paper, we introduce linear memory parallelization schemes for the alignment of a given query Q in a stream of time series data S for both ED and DTW using CUDA-enabled accelerators. The ED parallelization features a log-linear calculation scheme in contrast to the naive …

Euclidean distanceCUDADynamic time warpingData stream miningComputer scienceAnomaly detectionParallel computingCluster analysisTime complexityDistance measures2014 43rd International Conference on Parallel Processing
researchProduct

On the complexity of the Saccharomyces bayanus taxon: Hybridization and potential hybrid speciation

2014

Although the genus Saccharomyces has been thoroughly studied, some species in the genus has not yet been accurately resolved; an example is S. bayanus, a taxon that includes genetically diverse lineages of pure and hybrid strains. This diversity makes the assignation and classification of strains belonging to this species unclear and controversial. They have been subdivided by some authors into two varieties (bayanus and uvarum), which have been raised to the species level by others. In this work, we evaluate the complexity of 46 different strains included in the S. bayanus taxon by means of PCR-RFLP analysis and by sequencing of 34 gene regions and one mitochondrial gene. Using the sequenc…

Evolutionary GeneticsSaccharomyces bayanusDIVERSITYSequence Homologylcsh:MedicineSaccharomycesPolymerase Chain Reaction//purl.org/becyt/ford/1 [https]Genética y HerenciaPCR-RFLP analysisFungal EvolutionCluster Analysislcsh:ScienceGenome EvolutionPhylogenyGeneticsMultidisciplinarySACCHAROMYCES EUBAYANUSPhylogenetic analysisbiologyStrain (biology)Systems BiologyGenomicsS. bayanusPolymorphism Restriction Fragment LengthCIENCIAS NATURALES Y EXACTASResearch ArticleEvolutionary ProcessesGenetic SpeciationMolecular Sequence DataIntrogressionMycologyGenome ComplexityMicrobiologyGenètica molecularCiencias BiológicasSaccharomycesSpecies SpecificityPhylogeneticsGenetic variationGeneticsYEAST//purl.org/becyt/ford/1.6 [https]HybridizationAllelesHybridEvolutionary BiologyBase Sequencelcsh:ROrganismsFungiBiology and Life SciencesComputational BiologyGenetic VariationSACCHAROMYCES PASTORIANUSSequence Analysis DNAComparative Genomicsbiology.organism_classificationYeastGenetics PopulationHaplotypesFungal ClassificationHybridization GeneticHybrid speciationlcsh:Q
researchProduct

Efficiency improvement of DC* through a Genetic Guidance

2017

DC∗ is a method for generating interpretable fuzzy information granules from pre-classified data. It is based on the subsequent application of LVQ1 for data compression and an ad-hoc procedure based on A∗ to represent data with the minimum number of fuzzy information granules satisfying some interpretability constraints. While being efficient in tackling several problems, the A∗ procedure included in DC∗ may happen to require a long computation time because the A∗ algorithm has exponential time complexity in the worst case. In this paper, we approach the problem of driving the search process of A∗ by suggesting a close-to-optimal solution that is produced through a Genetic Algorithm (GA). E…

Exponential complexity0209 industrial biotechnologyMathematical optimizationComputationProcess (computing)02 engineering and technologyFuzzy logic020901 industrial engineering & automationGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithmMathematicsInterpretabilityData compression2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
researchProduct

On the effectiveness of Finite Element simulation of orthogonal cutting with particular reference to temperature prediction

2007

Abstract Finite Element simulation of orthogonal cutting is nowadays assuming a large relevance; in fact a very large number of papers may be found out in technical literature on this topic. In recent years, numerical simulation was performed to investigate various phenomena such as chip segmentation, force prediction and tool wear. On the other hand, some drawbacks have to be highlighted; due to the geometrical and computational complexity of the updated-Lagrangian formulation mostly used in FE codes, a cutting time of only a few milliseconds can be effectively simulated. Therefore, steady-state thermal conditions are not reached and the simulation of the thermal phenomenon may be ineffect…

FEMEngineeringComputational complexity theoryComputer simulationbusiness.industryInterface (computing)Flow (psychology)Metals and AlloysFRICTIONMechanical engineeringHeat transfer coefficientChipIndustrial and Manufacturing EngineeringComputer Science Applicationscutting temperature; machining; FEMTOOL WEARModeling and SimulationThermalCeramics and CompositesFLOW-STRESSTool wearbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionecutting temperaturemachiningJournal of Materials Processing Technology
researchProduct

Inducing the Lyndon Array

2019

In this paper we propose a variant of the induced suffix sorting algorithm by Nong (TOIS, 2013) that computes simultaneously the Lyndon array and the suffix array of a text in $O(n)$ time using $\sigma + O(1)$ words of working space, where $n$ is the length of the text and $\sigma$ is the alphabet size. Our result improves the previous best space requirement for linear time computation of the Lyndon array. In fact, all the known linear algorithms for Lyndon array computation use suffix sorting as a preprocessing step and use $O(n)$ words of working space in addition to the Lyndon array and suffix array. Experimental results with real and synthetic datasets show that our algorithm is not onl…

FOS: Computer and information sciences050101 languages & linguisticsComputer scienceComputationInduced suffix sorting02 engineering and technologySpace (mathematics)law.inventionSuffix sortinglawSuffix arrayComputer Science - Data Structures and Algorithms0202 electrical engineering electronic engineering information engineeringData_FILESPreprocessorData Structures and Algorithms (cs.DS)0501 psychology and cognitive sciencesComputer Science::Data Structures and AlgorithmsTime complexitySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informatica05 social sciencesLightweight algorithmSuffix arraySigmaComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Induced suffix sorting; Lightweight algorithms; Lyndon array; Suffix arrayWorking spaceLyndon arrayLightweight algorithms020201 artificial intelligence & image processingAlgorithmComputer Science::Formal Languages and Automata Theory
researchProduct

On the Inner Product Predicate and a Generalization of Matching Vector Families

2018

Motivated by cryptographic applications such as predicate encryption, we consider the problem of representing an arbitrary predicate as the inner product predicate on two vectors. Concretely, fix a Boolean function $P$ and some modulus $q$. We are interested in encoding $x$ to $\vec x$ and $y$ to $\vec y$ so that $$P(x,y) = 1 \Longleftrightarrow \langle\vec x,\vec y\rangle= 0 \bmod q,$$ where the vectors should be as short as possible. This problem can also be viewed as a generalization of matching vector families, which corresponds to the equality predicate. Matching vector families have been used in the constructions of Ramsey graphs, private information retrieval (PIR) protocols, and mor…

FOS: Computer and information sciences060201 languages & linguistics000 Computer science knowledge general worksComputer Science - Cryptography and Security06 humanities and the arts02 engineering and technologyComputational Complexity (cs.CC)Computer Science - Computational Complexity0602 languages and literatureComputer ScienceFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Combinatorics020201 artificial intelligence & image processingCombinatorics (math.CO)Cryptography and Security (cs.CR)
researchProduct

Combinatorial proofs of two theorems of Lutz and Stull

2021

Recently, Lutz and Stull used methods from algorithmic information theory to prove two new Marstrand-type projection theorems, concerning subsets of Euclidean space which are not assumed to be Borel, or even analytic. One of the theorems states that if $K \subset \mathbb{R}^{n}$ is any set with equal Hausdorff and packing dimensions, then $$ \dim_{\mathrm{H}} π_{e}(K) = \min\{\dim_{\mathrm{H}} K,1\} $$ for almost every $e \in S^{n - 1}$. Here $π_{e}$ stands for orthogonal projection to $\mathrm{span}(e)$. The primary purpose of this paper is to present proofs for Lutz and Stull's projection theorems which do not refer to information theoretic concepts. Instead, they will rely on combinatori…

FOS: Computer and information sciences28A80 (primary) 28A78 (secondary)General MathematicskombinatoriikkaCombinatorial proofComputational Complexity (cs.CC)01 natural sciencesCombinatoricsMathematics - Metric GeometryHausdorff and packing measures0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: Mathematics0101 mathematicsMathematicsAlgorithmic information theoryLemma (mathematics)Euclidean spacePigeonhole principle010102 general mathematicsOrthographic projectionHausdorff spaceMetric Geometry (math.MG)Projection (relational algebra)Computer Science - Computational ComplexityMathematics - Classical Analysis and ODEsfraktaalit010307 mathematical physicsmittateoria
researchProduct

Unit contradiction versus unit propagation

2012

Some aspects of the result of applying unit resolution on a CNF formula can be formalized as functions with domain a set of partial truth assignments. We are interested in two ways for computing such functions, depending on whether the result is the production of the empty clause or the assignment of a variable with a given truth value. We show that these two models can compute the same functions with formulae of polynomially related sizes, and we explain how this result is related to the CNF encoding of Boolean constraints.

FOS: Computer and information sciencesArtificial Intelligence (cs.AI)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputer Science - Artificial IntelligenceComputer Science::Logic in Computer ScienceComputer Science::Computational Complexity
researchProduct

Adaptive learning of compressible strings

2020

Suppose an oracle knows a string $S$ that is unknown to us and that we want to determine. The oracle can answer queries of the form "Is $s$ a substring of $S$?". In 1995, Skiena and Sundaram showed that, in the worst case, any algorithm needs to ask the oracle $\sigma n/4 -O(n)$ queries in order to be able to reconstruct the hidden string, where $\sigma$ is the size of the alphabet of $S$ and $n$ its length, and gave an algorithm that spends $(\sigma-1)n+O(\sigma \sqrt{n})$ queries to reconstruct $S$. The main contribution of our paper is to improve the above upper-bound in the context where the string is compressible. We first present a universal algorithm that, given a (computable) compre…

FOS: Computer and information sciencesCentroid decompositionGeneral Computer ScienceString compressionAdaptive learningKolmogorov complexityContext (language use)Data_CODINGANDINFORMATIONTHEORYString reconstructionTheoretical Computer ScienceCombinatoricsString reconstruction; String learning; Adaptive learning; Kolmogorov complexity; String compression; Lempel-Ziv; Centroid decomposition; Suffix treeSuffix treeIntegerComputer Science - Data Structures and AlgorithmsOrder (group theory)Data Structures and Algorithms (cs.DS)Adaptive learning; Centroid decomposition; Kolmogorov complexity; Lempel-Ziv; String compression; String learning; String reconstruction; Suffix treeTime complexityComputer Science::DatabasesMathematicsLempel-ZivSettore INF/01 - InformaticaLinear spaceString (computer science)SubstringBounded functionString learningTheoretical Computer Science
researchProduct