Search results for "biological system modeling"

showing 7 items of 7 documents

Chaos and its Degradation-Promoting-Based Control in an Antithetic Integral Feedback Circuit

2022

This letter deals with a novel variant of antithetic integral feedback controller (AIFC) motifs which can feature robust perfect adaptation, a pervasive (desired) ability in natural (synthetic) biomolecular circuits, when coupled with a wide class of process networks to be regulated. Using the separation of timescales in the proposed kind of AIFC, here we find a reducedorder controller that captures the governing slow part of the original solutions under suitable assumptions. Inspired by R(ossler systems, we then make use of such a simpler controller to show that the antithetic circuit can exhibit chaotic behaviors with strange attractors, where the bifurcation from a homeostatic state to c…

kaaosteoriaControl and OptimizationoscillatorsComputer sciencechaosControl (management)elektroniset piiritbiological system modelingprocess controloskillaattoritCHAOS (operating system)säätöteoriaControl and Systems EngineeringControl theoryintegrated circuit modelingmallit (mallintaminen)matemaattiset mallitmathematical modelsDegradation (telecommunications)degradation
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LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms.

2021

Deep learning has achieved unprecedented success in sleep stage classification tasks, which starts to pave the way for potential real-world applications. However, due to its enormous size, deployment of deep neural networks is hindered by high cost at various aspects, such as computation power, storage, network bandwidth, power consumption, and hardware complexity. For further practical applications (e.g., wearable sleep monitoring devices), there is a need for simple and compact models. In this paper, we propose a lightweight model, namely LightSleepNet, for rapid sleep stage classification based on spectrograms. Our model is assembled by a much fewer number of model parameters compared to…

computational modelingmallintaminentrainingpower demandsignaalinkäsittelyunitutkimusdeep learningsyväoppiminenbiological system modelingbrain modelingElectroencephalographyneuroverkotDeep LearningEEGNeural Networks ComputerSleep StagessleepSleepAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Technical and economical comparison between different topologies of PV plant under mismatch effect

2014

This paper presents a technical and economical comparative analysis between two topology of photovoltaic plant. In particular the performances of series-parallel (SP) and total cross tied (TCT), topologies are taken into account, referring to a partially shaded photovoltaic plant. Thanks to a simulation model developed, in the paper the mismatch effects due to three different shading conditions, for SP and TCT topology plant, are quantified. Since the TCT solution, even though increase the energy production, raise the complexity of plants as well as their costs, an evaluation of the individual costs of each component of a SP and TCT plant topology, as PV modules, support structure, inverter…

PV plant topologyEngineeringtopologyeconomic evaluationtechnical-economical comparative analysiPV arraypartially shaded photovoltaic plantTransportationTopology (electrical circuits)GeneratorSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciNetwork topologyTVenergy productionpower generation economicComponent (UML)photovoltaic plant topologycostpower lossesElectronic engineeringeries-parallel topologyInverterTotal cross tiedmismatch effecttotal cross tied topologySPbusiness.industryPhotovoltaic systemArrayBiological system modelingTCT topology plantpower generation planningSwitcheReliability engineeringphotovoltaic power systemSP topology plantTCTInverterPv plantbusiness2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions

2021

The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, require sensors with a high spectral resolution that constrains the spatial resolution while significantly increasing the subpixel land-cover heterogeneity. Precisely, this spatial variability often makes that rather different canopy structures are aggregated together, which eventually generates important deviations in the corresponding parameter quantification. In the context of the Copernicus program (and other related Earth Explorer missions), this article propose…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer sciencevegetation mappingGeophysics. Cosmic physics0211 other engineering and technologiesContext (language use)02 engineering and technologyLand coverearthSentinel-2 (S2)01 natural sciencessentinel-3 (S3)FLEXcharacterizationComputers in Earth SciencesImage resolutionTC1501-1800spatial resolutionBiophysical productsSentinel-3 (S3)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingQC801-809biophysical productsbiological system modelingSubpixel renderingSpatial heterogeneityOcean engineeringinstrumentsfluorescence EXplorer (FLEX)Spatial ecologyflexible printed circuitssentinel-2 (S2)Spatial variabilityspatial distributionssensor phenomena
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Time-Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow Assignment

2018

In this work multiple depot vehicle routing problem is considered in case of variable travel times between nodes on a metropolis network. This variant of the classic multiple depot vehicle routing problem is motivated by the fact that in urban contexts variable traffic conditions play an essential role and can not be ignored in order to perform a realistic optimization. Time-travel matrices corresponding to each period of planning horizon were formed by solving the traffic assignment problem in conjunction with shortest path problem. Routing problem instances include from 20 to 100 customers randomly chosen from a road network of Saint-Petersburg. The results demonstrate that taking into ac…

Mathematical optimizationroadsDepotComputer scienceTraffic Flow Assignment0211 other engineering and technologiesTime horizon02 engineering and technologylcsh:Telecommunicationoptimointilcsh:TK5101-67200502 economics and businessVehicle routing problemta113050210 logistics & transportationreititys021103 operations researchtiet05 social sciencesbiological system modelingTraffic flowMultiple Depot Vehicle Routing ProblemVariable (computer science)suunnitteluroutingShortest path problemTime-Dependent Routing ProblemRouting (electronic design automation)planningMegapolis NetworkAssignment problemvehicle routingoptimization
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Time-Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow Assignment

2018

In this work multiple depot vehicle routing problem is considered in case of variable travel times between nodes on a metropolis network. This variant of the classic multiple depot vehicle routing problem is motivated by the fact that in urban contexts variable traffic conditions play an essential role and can not be ignored in order to perform a realistic optimization. Time-travel matrices corresponding to each period of planning horizon were formed by solving the traffic assignment problem in conjunction with shortest path problem. Routing problem instances include from 20 to 100 customers randomly chosen from a road network of Saint-Petersburg. The results demonstrate that taking into ac…

reitityssuunnitteluoptimointitietbiological system modelingplanningvehicle routingoptimization
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Importance of the Window Function Choice for the Predictive Modelling of Memristors

2021

Window functions are widely employed in memristor models to restrict the changes of the internal state variables to specified intervals. Here, we show that the actual choice of window function is of significant importance for the predictive modelling of memristors. Using a recently formulated theory of memristor attractors, we demonstrate that whether stable fixed points exist depends on the type of window function used in the model. Our main findings are formulated in terms of two memristor attractor theorems, which apply to broad classes of memristor models. As an example of our findings, we predict the existence of stable fixed points in Biolek window function memristors and their absenc…

State variableComputer science02 engineering and technologyMemristorType (model theory)Fixed pointTopologyWindow functionlaw.inventionPredictive modelsComputer Science::Hardware ArchitectureComputer Science::Emerging TechnologiesMathematical modellawAttractor0202 electrical engineering electronic engineering information engineeringEvolution (biology)Electrical and Electronic EngineeringPolarity (mutual inductance)threshold voltage020208 electrical & electronic engineeringmemristive systemsBiological system modeling020206 networking & telecommunicationsWindow functionmemristorsIntegrated circuit modelingPredictive modellingIEEE Transactions on Circuits and Systems Ii-Express Briefs
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