Search results for " network"

showing 10 items of 6428 documents

Is the nonREM–REM sleep cycle reset by forced awakenings from REM sleep?

2002

In selective REM sleep deprivation (SRSD), the occurrence of stage REM is repeatedly interrupted by short awakenings. Typically, the interventions aggregate in clusters resembling the REM episodes in undisturbed sleep. This salient phenomenon can easily be explained if the nonREM–REM sleep process is continued during the periods of forced wakefulness. However, earlier studies have alternatively suggested that awakenings from sleep might rather discontinue and reset the ultradian process. Theoretically, the two explanations predict a different distribution of REM episode duration. We evaluated 117 SRSD treatment nights recorded from 14 depressive inpatients receiving low dosages of Trimipram…

Activity CyclesMaleSelective REM sleep deprivationPolysomnographyAudiologyBehavioral NeuroscienceNIGHTSleep onset REM episodeDEPRIVATIONSlow-wave sleepmedia_commonDEPRESSIVE PATIENTSmedicine.diagnostic_testDepressionmusculoskeletal neural and ocular physiologyTRIMIPRAMINEMiddle AgedAntidepressive AgentsAnesthesiaLATENCIESFemaleWakefulnessArousalPsychologyAlgorithmspsychological phenomena and processesmedicine.drugVigilance (psychology)Adultmedicine.medical_specialtyREM episodePolysomnographymedia_common.quotation_subjectRapid eye movement sleepSleep REMExperimental and Cognitive PsychologyNon-rapid eye movement sleepmental disordersmedicineHumansWakefulnessMODULATIONUltradian rhythmINTERRUPTIONARTIFICIAL NEURAL NETWORKSRECOGNITIONTrimipramineUltradian processSleep cycleSleepEYE-MOVEMENT SLEEPPhysiology & Behavior
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Reaching professional skills with the Final Master Thesis: Collaboration towards actual solutions

2019

[EN] In order to motivate the student through a professional experience, and to improve the teaching-learning process by letting the student gain experience, we implement a collaborative learning-through-service methodology. This method increases the student involvement level and the deep understanding of the tools. As a matter of example, we present the implementation of this method in the Final Master Thesis (FMTh) of the Master on Corporate Finance at the University of Valencia (UV). In these FMTh, students have to valuate an actual innovation developed by UV researchers (on chemistry, in this case) with the goal of helping them to transfer (sell) this innovation to the industry. This co…

Actual solutionsbusiness.industryLearning trough serviceFinancial valuationDocumentationPublic relationsDocumentationFinal Master ThesisPolitical scienceCollaborative network methodologyProfessional skillsInnovationbusinessTeaching TechnologiesProfessional skillsProceedings INNODOCT/18. International Conference on Innovation, Documentation and Education
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A conceptual model of feedback mechanisms in adjusted affordances – Insights from usage of a mental mobile health application

2023

Affordance theory provides one of the most prominent lenses through which the socio-technical aspects of a system’s use can be investigated and understood. In this context, the literature has proposed that perceived and actualized affordances may be adjusted over time. Yet, how the adjustment of affordances occurs has not been explained in detail. Thus, in this article, we develop a conceptual model of feedback mechanisms that includes a more explicit description of how affordances are perceived by users, whether actualized and adjusted. With the model, we introduce the central concept of a generative base, out of which affordance perceptions emerge and which can be updated through affordan…

ActualizationComputer Networks and CommunicationsMental ModelsPerception000 Informatik Informationswissenschaft allgemeine Werke::000 Informatik Wissen Systeme::004 Datenverarbeitung; InformatikLibrary and Information SciencesFeedback MechanismsVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420AffordancesInformation Systems004
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Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case.

2017

Abstract Objectives This paper is based on the analysis of the database of operations from a macro-case on money laundering orchestrated between a core company and a group of its suppliers, 26 of which had already been identified by the police as fraudulent companies. In the face of a well-founded suspicion that more companies have perpetrated criminal acts and in order to make better use of what are very limited police resources, we aim to construct a tool to detect money laundering criminals. Methods We combine Benford’s Law and machine learning algorithms (logistic regression, decision trees, neural networks, and random forests) to find patterns of money laundering criminals in the conte…

Actuarial scienceScrutinyArtificial neural networkComputer sciencebusiness.industryDecision treeContext (language use)02 engineering and technologySpace (commercial competition)Money launderingComputer securitycomputer.software_genreMachine learning01 natural sciencesPathology and Forensic MedicineBenford's law010104 statistics & probabilityOrder (business)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligence0101 mathematicsbusinessLawcomputerForensic science international
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Personal Gains from Materials in Social Networks

2021

Importance of gains from social networks is analyzed in great extent in many countries by many researchers as social networks are reaching more and more importance. Research methods applied: analysis of scientific publications, survey of social network users on gains from materials in social networks. For evaluations by respondents in survey it was used evaluation scale 1–6 as it is used in grading system in Germany. Survey data results are analyzed by indicators of descriptive statistics – indicators of central tendency or location: arithmetic mean, median, mode and indicator of variability – standard deviation. In the research there were found differences by countries in use of social net…

Actuarial scienceSocial networkDescriptive statisticsbusiness.industryScale (social sciences)Mode (statistics)Survey data collectionbusinessPsychologyStandard deviationArithmetic mean
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A Hierarchical Detection and Response System to Enhance Security Against Lethal Cyber-Attacks in UAV Networks

2018

International audience; Unmanned aerial vehicles (UAVs) networks have not yet received considerable research attention. Specifically, security issues are a major concern because such networks, which carry vital information, are prone to various attacks. In this paper, we design and implement a novel intrusion detection and response scheme, which operates at the UAV and ground station levels, to detect malicious anomalies that threaten the network. In this scheme, a set of detection and response techniques are proposed to monitor the UAV behaviors and categorize them into the appropriate list (normal, abnormal, suspect, and malicious) according to the detected cyber-attack. We focus on the m…

Ad hoc networksMonitoringAnomaly-based intrusion detection systemWireless ad hoc networkComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]UAVMobile computing[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]JammingComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyIntrusion detection systemAnomaly detection and rules-based intrusion detection techniquesIDSBlack hole (networking)Computer securitycomputer.software_genreMobile communicationUnmanned aerial vehicles[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringFalse positive paradoxOverhead (computing)Intrusion detectionElectrical and Electronic Engineering020206 networking & telecommunicationsComputer Science ApplicationsHuman-Computer InteractionControl and Systems Engineeringintrusion detection system020201 artificial intelligence & image processingcyber-attacksIntrusion prevention systemcomputerSoftware
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Utility-based resource allocations in multi-hop wireless networks

2011

It is well known that CSMA (Carrier Sense Multiple Access) protocols exhibit very poor performance in case of multi-hop transmissions, because of inter-link interference due to imperfect carrier sensing. Since ad-hoc networks based on multihop packet deliveries are becoming more and more common in different application and networking scenarios, different medium access control extensions are currently considered for improving the channel utilization efficiency. In this paper, we propose a simple approach based on preallocating temporal slots in which different sets of nodes are allowed to contend for the channel access, which can significantly improve CSMA performance with limited signaling …

Ad-hoc Networks; Distributed Resource Allocation; Game theory; Sensor NetworksSettore ING-INF/04 - Automatica[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Ad-hoc Networksad hoc wireless networks allocations networksSettore ING-INF/03 - TelecomunicazioniComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSData_CODINGANDINFORMATIONTHEORYSensor NetworksDistributed Resource AllocationGame theory
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Middleware with QoS Support to Control Intelligent Systems

2008

This paper presents the architecture of a middleware for control component-based distributed systems. The fundamental idea underlying this architecture is the use of a hierarchical communications structure called "logical namespace tree" and a structured set of control processes interconnected, called "logical sensors graph". This architecture is named frame sensor adapter control (FSA-Ctrl). The aim of FSA-Ctrl is to provide a simple interface to specify the control actions and ensure a communication with some specified QoS parameters restrictions. In this architecture both systems, communication and control, manages the QoS policies. The communication system is based on the data distribut…

Adapter (computing)Computer sciencebusiness.industryQuality of serviceControl systemDistributed computingIntelligent decision support systemData Distribution ServiceNamespaceSoftware architecturebusinessCommunications systemComputer network2008 The Second International Conference on Advanced Engineering Computing and Applications in Sciences
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Using adaptive fuzzy-neural control to minimize response time in cluster-based web systems

2005

We have developed content-aware request distribution algorithm called FARD which is a client-and-server-aware, dynamic and adaptive distribution policy in cluster-based Web systems. It assigns each incoming request to the server with the least expected response time. To estimate the expected response times it uses the fuzzy estimation mechanism. The system is adaptive as it uses a neural network learning ability for its adaptation. Simulations based on traces from the 1998 World Cup show that when we consider the response time, FARD can be more effective than the state-of-the-art content-aware policy LARD.

Adaptive controlArtificial neural networkComputer sciencebusiness.industryAdaptive systemResponse timeThe InternetFuzzy control systemArtificial intelligenceAdaptation (computer science)businessFuzzy logic
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Type-2 Fuzzy Control of a Bioreactor

2009

Abstract—In this paper the control of a bioprocess using an adaptive type-2 fuzzy logic controller is proposed. The process is concerned with the aerobic alcoholic fermentation for the growth of Saccharomyces Cerevisiae a n d i s characterized by nonlinearity and parameter uncertainty. Three type-2 fuzzy controllers heve been developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzyneuro- predictive controller (T2FNPC); a t y p e -2 selftuning fuzzy controller ( T2STFC). The T2FNPC combines the capability of the type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a…

Adaptive neuro fuzzy inference systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive controlArtificial neural networkNeuro-fuzzyComputer scienceFuzzy setFuzzy control systemEthanol fermentationFuzzy logicDefuzzificationNonlinear systemModel predictive controlControl theoryAdaptive systemAdaptive control Type-2 fuzzy control Non-linear systems UncertaintyProcess controlRobust control
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