Search results for "Network model"

showing 10 items of 69 documents

The role of network connectivity on epileptiform activity.

2021

AbstractA number of potentially important mechanisms have been identified as key players to generate epileptiform activity, such as genetic mutations, activity-dependent alteration of synaptic functions, and functional network reorganization at the macroscopic level. Here we study how network connectivity at cellular level can affect the onset of epileptiform activity, using computational model networks with different wiring properties. The model suggests that networks connected as in real brain circuits are more resistant to generate seizure-like activity. The results suggest new experimentally testable predictions on the cellular network connectivity in epileptic individuals, and highligh…

Computer scienceScienceAction PotentialsCellular levelArticleFunctional networksComputational biophysicsSeizuresNeural Pathwayscomputational model networkHumansThe role of network connectivity on epileptiform activityComputational modelMultidisciplinaryNetwork modelsEpilepsycellular network connectivitySettore INF/01 - InformaticaQRBrainElectroencephalographyNetwork connectivityApplied mathematicsepileptiform activitywiring propertieCellular networkKey (cryptography)MedicineNerve NetNeuroscienceScientific reports
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A network model for the short-term prediction of the evolution of cocaine consumption in Spain

2010

Cocaine consumption is a social problem with acute consequences and its dependency can be regarded as a health concern of social transmission. This fact leads us to develop the idea that its transmission dynamics can be studied using epidemiological mathematical models. Under this point of view, in this paper we propose a network model to study the short-term evolution of the cocaine consumer subpopulations. The model parameters are obtained from data source and from an analogue continuous model. Sensitivity of the model parameters is studied. The parameters are associated with prevention and treatment policies and the sensitivity study gives us information about which parameters have more …

Consumption (economics)Dependency (UML)Mathematical modelOperations researchComputer scienceContinuous modellingComputer Science ApplicationsTerm (time)Transmission (telecommunications)Modelling and SimulationModeling and SimulationEconometricsSensitivity (control systems)Network modelMathematical and Computer Modelling
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Combinatorial Optimization for Artificial Intelligence Enabled Mobile Network Automation

2021

This chapter discusses combinatorial optimization techniques for enabling intelligent automation in mobile networks. A number of discrete optimization problems pertinent to mobile network automation can be solved effectively using artificial intelligence based combinatorial optimization approaches such as heuristics and metaheuristics. Relevant use-cases include both initial parameter assignment during network roll-out, and continuous optimization of configuration management parameters during network operation and maintenance. We discuss mobile network automation use-cases and motivation for using different heuristics and metaheuristics in designing network optimization algorithms. To this …

Continuous optimizationComputer sciencebusiness.industryCellular networkCombinatorial optimizationArtificial intelligenceHeuristicsbusinessAssignment problemMetaheuristic5GNetwork model
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Cost analysis of a vaccination strategy for respiratory syncytial virus (RSV) in a network model

2010

[EN] In this paper an age-structured mathematical model for respiratory syncytial virus (RSV) is proposed where children younger than one year old, who are the most affected by this illness, are specially considered. Real data of hospitalized children in the Spanish region of Valencia are used in order to determine some seasonal parameters of the model. Once the parameters are determined, we propose a complete stochastic network model to study the seasonal evolution of the respiratory syncytial virus (RSV) epidemics. In this model every susceptible individual can acquire the disease after a random encounter with any infected individual in the social network. The edges of a complete graph co…

Cost estimationbusiness.industryStochastic modellingDiseaseBiologyRespiratory syncytial virusmedicine.disease_causeVaccination strategyComputer Science ApplicationsVaccinationRespiratory syncytial virus (RSV)Network mathematical modelSusceptible individualModeling and SimulationModelling and SimulationStatisticsmedicineCost analysisProbability distributionArtificial intelligencebusinessMATEMATICA APLICADANetwork modelMathematical and Computer Modelling
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Impact of Demand Response Control Logic on Isolated Island's Distribution Networks

2019

The work presents the results of a study regarding the impact of some Demand Response control logics on an isolated distribution network. The proposed control is divided into precise steps in which the coordination between the general aggregator controller and the single local Energy Management Systems is developed and illustrated with details. The control is applied to the flexible loads and to the storage systems of photovoltaic plants installed at the end-users' houses and connected to the network. The study is carried out delivering a suitable network model of the island's system, with the implementation of load profiles for all the loads of the network for a total simulation time of 24…

Demand responseelectric storageComputer scienceEnergy managementPhotovoltaic systemControl (management)demand response; EES; electric storage; flexible loads; load aggregation; photovoltaic; PV; small islandsflexible loadsload aggregationControl engineeringPVcomputer.software_genresmall islandsEESNews aggregatorphotovoltaicSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responseflexible loadControl theoryControl logiccomputerNetwork model2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
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Introduction

1998

EcologyArtificial neural networkComputer scienceTime delay neural networkbusiness.industryApplied MathematicsGeneral MedicineMachine learningcomputer.software_genreAgricultural and Biological Sciences (miscellaneous)Artificial intelligencebusinesscomputerNervous system network modelsJournal of Biological Systems
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A mathematical model to evaluate apparent losses due to meter under-registration in intermittent water distribution networks

2013

Apparent losses consist of water volume drawn from the network, consumed by users but not paid for. Those due to water meter under-registration were evaluated by means of a mathematical model able to analyse the complexity of intermittent supply systems with private tanks. This supply scheme is very common in the Mediterranean area where unexpected water shortage often happens and intermittent water supply is a common practice. In order to analyse such complex systems, a demand model, reproducing the effect of private tanks, and an apparent losses module were developed and coupled with an hydraulic network model based on the Global Gradient Algorithm (GGA). In distribution networks pressure…

EngineeringDistribution networksbusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComplex systemWater supplyWater scarcityWater meter substitution planPressure managementMetreApparent losseWater volumebusinessWater meter under-registrationSimulationPrivate tankWater Science and TechnologyNetwork modelMarine engineeringWater Supply
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Energy and Network Models for the Intelligent Control of Distributed Systems

2014

This paper presents detailed energy and network models for the intelligent control of a distributed system which also comprises power generation from renewables. The two models provide interactive energy monitoring, intelligent control and power demand balancing at home, block and neighbor level. Particularly, it is here described how the energy model works and also details of how it has been validated are here given. Moreover, it is shown how the energy model simulation results are transferred to the network simulation software SynerGEE, set up by GL Noble Denton Industrial Services Ltd (UK), in order to fully perform network simulations.

EngineeringNetwork modelsbusiness.industryEnergy modelsDistributed computingEnergy distribution systemsEnergy Engineering and Power TechnologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSmart gridEnergy distribution systems; Energy models; Network models; Control and Systems Engineering; Electrical and Electronic Engineering; Energy Engineering and Power TechnologyControl and Systems EngineeringEmbedded systemenergy models network models energy distribution systemsElectrical and Electronic EngineeringbusinessIntelligent controlEnergy (signal processing)Network model
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Water losses dynamic modelling in water distribution networks

2015

In the last decades, one of the main concerns of the water system managers have been the minimisation of water losses, that frequently reach values of 30% or even 70% of the volume supplying the water distribution network. The economic and social costs associated with water losses in modern water supply systems are rapidly rising to unacceptably high levels. Furthermore, the problem of the water losses assumes more and more importance mainly when periods of water scarcity occur or when not sufficient water supply takes part in areas with fast growth. In the present analysis, a dynamic model was used for estimating real and apparent losses of a real case study. A specific nodal demand model …

EngineeringWater losseDistribution networksbusiness.industryWater network modelingEnvironmental engineeringWater supplyDynamic modellingbusinessdistribution networkWater scarcityAIP Conference Proceedings
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Two Levels SPF-Based System to Interconnect Partially Decentralized P2P File Sharing Networks

2005

Partially decentralized P2P (PDP2P) networks are a subset of P2P networks. Roles of nodes are different according to their functionality in the network. Nowadays, there are many PDP2P networks, with different characteristics. It is necessary to find a way to join those autonomous networks. We have not found any interconnection system, so in this article we present a new hierarchical system for interconnecting peers from different PDP2P networks. It will allow sharing data, content and resources between networks. It can be employed between sensor networks, P2P networks, and generally, overlay networks. Oldest superpeers or brokers with higher bandwidth in the PDP2P network will belong to hig…

Evolving networksFile sharingComputer sciencebusiness.industryInterdependent networksDistributed computingOverlay networkHierarchical control systemHierarchical network modelbusinessNetwork topologyWireless sensor networkComputer networkJoint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services - (icas-isns'05)
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