Search results for "NETWORKS"

showing 10 items of 3260 documents

Hilbert modularity of some double octic Calabi--Yau threefolds

2018

We exhibit three double octic Calabi--Yau threefolds over the certain quadratic fields and prove their modularity. The non-rigid threefold has two conjugate Hilbert modular forms of weight [4,2] and [2,4] attached while the two rigid threefolds correspond to a Hilbert modular form of weight [4,4] and to the twist of the restriction of a classical modular form of weight 4.

Modularity (networks)Pure mathematicsAlgebra and Number TheoryMathematics - Number Theory010102 general mathematicsModular formField (mathematics)010103 numerical & computational mathematics01 natural sciencesMathematics - Algebraic GeometryQuadratic equationMathematics::Algebraic GeometryFOS: MathematicsCalabi–Yau manifoldNumber Theory (math.NT)0101 mathematicsTwistHilbert modular formAlgebraic Geometry (math.AG)Mathematics
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Bɪ-CомDᴇт: Community Detection in Bipartite Networks

2019

Abstract Extracting hidden communities from bipartite networks witnessed a determined effort. In this respect, different streams of research relied on bipartite networks to unveil communities. In this paper, we introduce a new approach, called Bi-Comdet, that aims to an efficient community detection in bipartite networks. The main trust of the introduced approach is that it stresses on the importance of grouping two types of nodes in communities having a full connection between its nodes. The quality of the unveiled communities, is assessed through some metrics borrowed from the FCA community, to wit modularity, overlapping and stability. These metrics are then aggregated through the use of…

Modularity (networks)Theoretical computer scienceComputer sciencemedia_common.quotation_subjectStability (learning theory)Conductance020206 networking & telecommunications02 engineering and technologyModularity0202 electrical engineering electronic engineering information engineeringBipartite graphGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingQuality (business)General Environmental Sciencemedia_commonProcedia Computer Science
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How Correlated Are Community-Aware and Classical Centrality Measures in Complex Networks?

2021

Unlike classical centrality measures, recently developed community-aware centrality measures use a network’s community structure to identify influential nodes in complex networks. This paper investigates their relationship on a set of fifty real-world networks originating from various domains. Results show that classical and community-aware centrality measures generally exhibit low to medium correlation values. These results are consistent across networks. Transitivity and efficiency are the most influential macroscopic network features driving the correlation variation between classical and community-aware centrality measures. Additionally, the mixing parameter, the modularity, and the Max…

Modularity (networks)Transitive relationTheoretical computer scienceComputer scienceCommunity structureComplex network01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]010305 fluids & plasmasCorrelationMixing (mathematics)[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]0103 physical sciences[INFO]Computer Science [cs]010306 general physicsCentralitySet (psychology)ComputingMilieux_MISCELLANEOUS
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New Multilevel Inverter Topology with Reduced Component Count

2019

This paper introduces a new topology of modular multilevel inverters, being suitable in medium and high voltage applications. As compared to the existing circuits, the proposed topology has advantages of high ‘levels/components’ ratio, increasing the output voltage levels without increasing the voltage stress across the used switches, structure simplicity, isolation features, and modularity. These merits allow it to fit well in high-reliability medium-power applications, which require fast troubleshooting and maintenance flexibility. Operating principles of the proposed scheme are detailed in low frequency and pulse width modulation. Simulation and experimental results validate the effectiv…

Modularity (networks)business.industryComputer science020209 energy020208 electrical & electronic engineeringTopology (electrical circuits)High voltage02 engineering and technologyModular designNetwork topologyTopology0202 electrical engineering electronic engineering information engineeringbusinessPulse-width modulationElectronic circuitVoltage2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)
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Grist for Riedl's mill: A network model perspective on the integration and modularity of the human skull

2013

This research project was supported by Grant BFU2008‐00643 to D.R.G. from the Spanish Ministerio de Ciencia e Innovacion as well as project CGL2012‐37279 to M.B., from the Spanish Ministerio de Economia y Competitividad.

Modularity (networks)business.industryPerspective (graphical)BiologyHuman skullmedicine.anatomical_structureGeneticsmedicineMolecular MedicineMillAnimal Science and ZoologySoftware engineeringbusinessEcology Evolution Behavior and SystematicsDevelopmental BiologyNetwork modelJournal of Experimental Zoology Part B: Molecular and Developmental Evolution
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Modularity and Related Topics

2015

Modularity (networks)business.industrySoftware engineeringbusinessMathematics
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Self-organized modularization in evolutionary algorithms.

2005

The principle of modularization has proven to be extremely successful in the field of technical applications and particularly for Software Engineering purposes. The question to be answered within the present article is whether mechanisms can also be identified within the framework of Evolutionary Computation that cause a modularization of solutions. We will concentrate on processes, where modularization results only from the typical evolutionary operators, i.e. selection and variation by recombination and mutation (and not, e.g., from special modularization operators). This is what we call Self-Organized Modularization. Based on a combination of two formalizations by Radcliffe and Altenber…

Modularity (networks)education.field_of_studyTheoretical computer scienceComputer sciencebusiness.industryPopulationEvolutionary algorithmVariation (game tree)Modular designModels TheoreticalBiological EvolutionEvolutionary computationField (computer science)Computational MathematicsRange (mathematics)MutationArtificial intelligencebusinesseducationAlgorithmsEvolutionary computation
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Deciphering the Rules Underlying Xenogeneic Silencing and Counter-Silencing of Lsr2-like Proteins Using CgpS of Corynebacterium glutamicum as a Model

2020

In actinobacteria, Lsr2-like nucleoid-associated proteins function as xenogeneic silencers (XS) of horizontally acquired genomic regions, including viral elements, virulence gene clusters in Mycobacterium tuberculosis, and genes involved in cryptic specialized metabolism in Streptomyces species. Consequently, a detailed mechanistic understanding of Lsr2 binding in vivo is relevant as a potential drug target and for the identification of novel bioactive compounds. Here, we followed an in vivo approach to investigate the rules underlying xenogeneic silencing and counter-silencing of the Lsr2-like XS CgpS from Corynebacterium glutamicum. Our results demonstrated that CgpS distinguishes between…

Molecular Biology and PhysiologyGene Transfer HorizontalactinobacteriaMicrobiologyQR1-502Corynebacterium glutamicumDNA-Binding Proteinsregulatory networksBacterial Proteinslsr2ddc:570xenogeneic silencinghorizontal gene transferGene Silencingcounter-silencingat-rich dnaProtein BindingTranscription FactorsResearch ArticlemBio
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Measurement uncertainty impact on simplified load flow analysis in MV smart grids

2018

This work is focused on the measurement uncertainty impact on load flow analysis in medium voltage (MV) distribution networks. In more detail, the paper presents the uncertainty evaluation of a simplified load flow algorithm, which is based on the load power measurements at each secondary substation and one voltage measurement at the slack bus (i.e. the voltage at the MV bus bars of the primary substation). To reduce the costs of the monitoring system, the load flow algorithm makes use of LV load power measurements for all the substations except those of MV users, where MV transducers are usually already installed. The uncertainties on the algorithm input quantities (load powers and slack b…

MonitoringBusbar020209 energyMonte Carlo methodElectric load flowAdvanced metering infrastructure (AMI)02 engineering and technologySmart gridUncertainty evaluationElectric power system measurementPower quality analyzerSlack buspower system monitoringElectric power transmission networksControl theory0202 electrical engineering electronic engineering information engineeringpower quality analyzers (PQA)MedicinePower-flow studyload flow analysiSafety Risk Reliability and QualityInstrumentationbusiness.industryElectric power distributionPower (physics)Smart gridPower system measurementMeasurement uncertaintybusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheVoltage
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Learning From Errors: Detecting Cross-Technology Interference in WiFi Networks

2018

In this paper, we show that inter-technology interference can be recognized using commodity WiFi devices by monitoring the statistics of receiver errors. Indeed, while for WiFi standard frames the error probability varies during the frame reception in different frame fields (PHY, MAC headers, and payloads) protected with heterogeneous coding, errors may appear randomly at any point during the time the demodulator is trying to receive an exogenous interfering signal. We thus detect and identify cross-technology interference on off-the-shelf WiFi cards by monitoring the sequence of receiver errors (bad PLCP, bad FCS, invalid headers, etc.) and propose two methods to recognize the source of in…

MonitoringComputer Networks and CommunicationsComputer scienceReal-time computingheterogeneous network050801 communication & media studies02 engineering and technologySpectrum managementZigBee0508 media and communicationsArtificial IntelligencePHY0202 electrical engineering electronic engineering information engineeringLong Term EvolutionDemodulationWireless fidelityHidden Markov modelsHidden Markov modelCross technology interferenceArtificial neural networkSettore ING-INF/03 - Telecomunicazioni05 social sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKScoexistenceunlicensed bands020206 networking & telecommunicationsThroughputLearning from errorsHardware and ArchitectureInterferenceCoding (social sciences)
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