Search results for "NETWORKS"

showing 10 items of 3260 documents

The influence of financial features and country characteristics on B2B ICOs’ website traffic

2021

Abstract Technology, blockchain, and initial coin offerings (ICOs) have changed the established ways of financing companies and doing business. The changes that affect organizational communications, specifically marketing communications, remain unclear, especially in the context of business-to-business (B2B) organizations. The current trend is for B2B companies to view social media as an optimal way to enhance lasting and valuable relationships with other companies. There is little research on social media marketing strategies by B2B organizations. To fill this gap, this study uses a sample of 57 B2B ICOs completed by December 2019 and qualitative comparative analysis to examine how the com…

FinanceComputer Networks and CommunicationsQualitative comparative analysisbusiness.industry05 social sciencesContext (language use)Sample (statistics)02 engineering and technologycomputer.file_formatLibrary and Information SciencesInvestment (macroeconomics)Tax haven020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineeringICOOrganizational communication050211 marketingSocial mediabusinesscomputerInformation SystemsInternational Journal of Information Management
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‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk

2012

A small segment of credit default swaps (CDS) on residential mortgage backed securities (RMBS) stand implicated in the 2007 financial crisis. The dominance of a few big players in the chains of insurance and reinsurance for CDS credit risk mitigation for banks' assets has led to the idea of too interconnected to fail (TITF) resulting, as in the case of AIG, of a tax payer bailout. We provide an empirical reconstruction of the US CDS network based on the FDIC Call Reports for off balance sheet bank data for the 4th quarter in 2007 and 2008. The propagation of financial contagion in networks with dense clustering which reflects high concentration or localization of exposures between few parti…

FinanceOrganizational Behavior and Human Resource ManagementEconomics and EconometricsFinancial contagionCredit default swapFinancial contagionbusiness.industryFinancial networksFinancial marketFinancial systemFinancial networksEigenvector centralityCredit default swapsSystemic riskEconomicsSystemic riskFinancial contagion systemic riskBank failurebusinessSuper-spreader taxBailoutCredit riskJournal of Economic Behavior & Organization
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The Structure of Financial Networks

2010

We present here an overview of the use of networks in Finance and Economics. We show how this approach enables us to address important questions as, for example, the structure of control chains in financial systems, the systemic risk associated with them and the evolution of trade between nations. All these results are new in the field and allow for a better understanding and modelling of different economic systems.

FinanceStructure (mathematical logic)EconophysicsFinancial networksbusiness.industryGeography of financeHedge fundSettore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciGravity model of tradeNetworks Finance EconophysicsSystemic riskEconomicsFinancial modelingbusinessIndustrial organization
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Projekts: "Indynetworks" dibināšana

2020

Maģistra darba tēma ir uzņēmuma SIA Indynetworks dibināšanas projekta izstrāde. Projekta ideja ir informācijas tehnoloģiju uzņēmuma SIA Indynetworks dibināšana, kas nodarbosies ar videokonferenču pakalpojumu sniegšanu visā pasaulē. Videokonferences jeb attālinātas sapulces kļūst arvien nepieciešamākas. Pētījumā Forbes Insight gandrīz trīs ceturtdaļas vadītāju norāda, ka viņu darbinieku un piegādātāju tīkls ir starptautisks. Autors uzsver, ka nav viegli noorganizēt klātienes sapulci, videokonference ir otrs labākais variants. Pētījuma dati liecina, ka 78% aptaujāto darbinieku uzskata, ka uzlabojas gan komandas, gan individuālais sniegums, jo veicot attālinātu darbu, vairojas uzticēšanās. Tāp…

Finanses un kredītsvideokonferencetehnoloģijasmākonisuzņēmums IndynetworksIKT nozare
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Resource-efficient hardware implementation of a neural-based node for automatic fingerprint classification

2017

Modern mobile communication networks and Internet of Things are paving the way to ubiquitous and mobile computing. On the other hand, several new computing paradigms, such as edge computing, demand for high computational capabilities on specific network nodes. Ubiquitous environments require a large number of distributed user identification nodes enabling a secure platform for resources, services and information management. Biometric systems represent a useful option to the typical identification systems. An accurate automatic fingerprint classification module provides a valuable indexing scheme that allows for effective matching in large fingerprint databases. In this work, an efficient em…

Fingerprint classificationField programmable gate array (FPGA)INF/01 - INFORMATICAWeightless neural networkWeightless neural networksMobile and ubiquitous ComputingField programmable gate array (FPGA); Fingerprint classification; Mobile and ubiquitous Computing; Virtual neuron; Weightless neural networksVirtual neuronMobile and Ubiquitous Computing Fingerprint Classification Weightless Neural Net- works Virtual Neuron Field Programmable Gate Array (FPGA)
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Usability analysis of a novel biometric authentication approach for android-based mobile devices

2014

Mobile devices are widely replacing the standard personal computers thanks to their small size and user-friendly use. As a consequence, the amount of information, often confidential, exchanged through these devices is raising. This makes them potential targets of malicious network hackers. The use of simple passwords or PIN are not sufficient to provide a suitable security level for those applications requiring high protection levels on data and services. In this paper a biometric authentication system, as a running Android application, has been developed and implemented on a real mobile device. A system test on real users has been also carried out in order to evaluate the human-machine int…

Fingerprints authenticationOperating systemComputer Networks and CommunicationMobile device securityUsabilityElectrical and Electronic Engineering
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Foetal ECG recovery using dynamic neural networks

2002

Non-invasive electrocardiography has proven to be a very interesting method for obtaining information about the foetus state and thus to assure its well-being during pregnancy. One of the main applications in this field is foetal electrocardiogram (ECG) recovery by means of automatic methods. Evident problems found in the literature are the limited number of available registers, the lack of performance indicators, and the limited use of non-linear adaptive methods. In order to circumvent these problems, we first introduce the generation of synthetic registers and discuss the influence of different kinds of noise to the modelling. Second, a method which is based on numerical (correlation coe…

Finite impulse responseComputer scienceMedicine (miscellaneous)Machine learningcomputer.software_genreSensitivity and SpecificityLeast mean squares filterElectrocardiographyFetal HeartPredictive Value of TestsPregnancyArtificial IntelligenceRobustness (computer science)HumansActive noise controlArtificial neural networkbusiness.industryModels CardiovascularPattern recognitionAdaptive filterIdentification (information)NoiseFemaleNeural Networks ComputerArtificial intelligencebusinesscomputerArtificial Intelligence in Medicine
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Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis

2020

Parkinson’s disease is found as a progressive neurodegenerative condition which affects motor circuit by the loss of up to 70% of dopaminergic neurons. Thus, diagnosing the early stages of incidence is of great importance. In this article, a novel chaos-based stochastic model is proposed by combining the characteristics of chaotic firefly algorithm with Kernel-based Naïve Bayes (KNB) algorithm for diagnosis of Parkinson’s disease at an early stage. The efficiency of the model is tested on a voice measurement dataset that is collected from “UC Irvine Machine Learning Repository.” The dynamics of chaos optimization algorithm will enhance the firefly algorithm by introducing six types of chao…

Firefly protocolParkinson's diseasekernel density estimation functionComputer Networks and CommunicationsComputer scienceDopaminergicGeneral EngineeringChaotic020206 networking & telecommunications02 engineering and technologymedicine.diseaseChaos theorylcsh:QA75.5-76.95chaotic mapscalibration measure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processinglcsh:Electronic computers. Computer sciencereceiver operating characteristic curvemetaheuristic algorithmNeuroscienceInternational Journal of Distributed Sensor Networks
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Firewall as a service in SDN OpenFlow network

2015

Protecting publicly available servers in internet today is a serious challenge, especially when encountering Distributed denial-of-service (DDoS) attacks. In traditional internet, there is narrow scope of choices one can take when ingress traffic overloads physical connection limits. This paper proposes Firewall as a service in internet service providers (ISP) networks allowing end users to request and install match-action rules in ISPs edge routers. In proposed scenario, ISP runs Software Defined Networking environment where control plane is separated from data plane utilizing OpenFlow protocol and ONOS controller. For interaction between end-users and SDN Controller author defines an Appl…

Firewall (construction)OpenFlowNetwork packetbusiness.industryComputer scienceServerComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSForwarding planeThe InternetDenial-of-service attackSoftware-defined networkingbusinessComputer network2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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The peach volatilome modularity is reflected at the genetic and environmental response levels in a QTL mapping population

2014

Background: The improvement of fruit aroma is currently one of the most sought-after objectives in peach breeding programs. To better characterize and assess the genetic potential for increasing aroma quality by breeding, a quantity trait locus (QTL) analysis approach was carried out in an F-1 population segregating largely for fruit traits. Results: Linkage maps were constructed using the IPSC peach 9 K Infinium (R) II array, rendering dense genetic maps, except in the case of certain chromosomes, probably due to identity-by-descent of those chromosomes in the parental genotypes. The variability in compounds associated with aroma was analyzed by a metabolomic approach based on GC-MS to pro…

FitomejoramientoVolatile CompoundsGenotyping TechniquesQuantitative Trait LociPopulationLocus (genetics)Plant ScienceBreedingEnvironmentQuantitative trait locusPolymorphism Single NucleotideCompuesto VolátilPrunusMetabolomicsQTL (Quantitative Trait Loci)Databases GeneticGenotypeCluster AnalysisPrunus PersicaGene Regulatory NetworkseducationAromaAromaLoci de Rasgos CuantitativosGeneticsPrincipal Component AnalysisVolatile Organic Compoundseducation.field_of_studybiologyDuraznoChromosome Mappingfood and beveragesbiology.organism_classificationPlant BreedingFruitPeachesMetabolomeTraitPrunusLod ScoreResearch ArticleBMC Plant Biology
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