Search results for "Alarm"

showing 10 items of 80 documents

Power allocation optimization in OFDM-based cognitive radios based on sensing information

2011

Owing to the non-zero probability of the missed detection and false alarm of active primary transmission, a certain degree of performance degradation of the primary user (PU) from cognitive radio users (CRs) is unavoidable. In this paper, we consider OFDM-based communication systems and present efficient algorithms to maximize the total rate of the CR by optimizing jointly both the detection operation and the power allocation, taking into account the influence of the probabilities of missed detection and false alarm, namely, the sensing accuracy. The optimization problem can be formulated as a two-variable non-convex problem, which can be solved approximately by using an alternating directi…

Mathematical optimizationOptimization problemCognitive radioTransmission (telecommunications)Computer scienceOrthogonal frequency-division multiplexingConvex optimizationFalse alarmCommunications systemInterference (wave propagation)2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
researchProduct

Age-dependent responses to alarm calls depend on foraging activity in Willow TitsPoecile montanus

2011

Survivorship in animals depends on both foraging activities and avoidance of predation, and thus behavioural decisions often reflect a trade-off between predation risk and foraging efficiency. In this experimental study, we compared behavioural responses of free-living adult and juvenile Willow Tits Poecile montanus to a conspecific alarm call in two treatments. The alarm call was played back when a focal bird was either not feeding, or feeding on a sunflower seed on the middle part of a spruce branch. When feeding at the time of the alarm call, juveniles more often stayed motionless or moved shorter distances than adults. Our results suggest that in hierarchical groups, juveniles are force…

ParusALARMbiologyEcologyPoecileForagingJuvenileAnimal Science and ZoologySunflower seedbiology.organism_classificationAlarm signalEcology Evolution Behavior and SystematicsPredationIbis
researchProduct

Algunas reflexiones sobre la percepción del cambio climático en una muestra de población adulta de nivel cultural medio

1994

El cambio climático es uno de los aspectos del Medio Ambiente que mayor eco social ha alcanzado en los últimos años. El tema ha trascendido de los centros de investigación a la opinión pública de manera distorsionada, debido, en gran parte, a medios de comunicación poco rigurosos. Este trabajo reflexiona sobre la percepción del fenómeno por parte de una muestra de población adulta de nivel cultural medio, que da por sentado un cambio climático importante, producido en los últimos años por el hombre y que ha originado la mayor parte de catástrofes naturales de tipo hidrometeorológico. Esta imagen catastrofista contrasta con la indeterminación que muestra la comunidad científica, que pone de …

Percepción catastrofistaGeografíaAcción antrópicaHumanidadesHome Influència del climaEnvironmentClimatic changeMan activitiesHumanitiesHUMANIDADESCambio climáticoMedio ambienteHUMANITIESAlarmist perception
researchProduct

Behaviour and neural responses in crucian carp to skin odours from cross-order species

2012

Many teleost species respond with fright reactions to olfactory cues from injured skin of conspecifics, but they may also display responses to skin extracts of heterospecific fish. In the present study, we exposed crucian carp to skin extracts of conspecifics and three cross-order species of fish (brown trout, pike, and perch). Behavioural experiments showed that conspecific skin extracts induced fright reactions in crucian carp; extracts of brown trout induced such behaviour less frequently, while extracts of perch and pike were poor inducers of fright responses. The olfactory bulb is chemo-topically organized, and different sub-sets of neurons respond to functionally related odorants that…

PerchEcologyZoologyOlfactionBiologyAlarm signalbiology.organism_classificationOlfactory bulbAssociative learningBehavioral NeuroscienceBrown troutCrucian carpPheromoneAnimal Science and ZoologyBehaviour
researchProduct

Deep learning for core-collapse supernova detection

2021

The detection of gravitational waves from core-collapse supernova (CCSN) explosions is a challenging task, yet to be achieved, in which it is key the connection between multiple messengers, including neutrinos and electromagnetic signals. In this work, we present a method for detecting these kind of signals based on machine learning techniques. We tested its robustness by injecting signals in the real noise data taken by the Advanced LIGO-Virgo network during the second observing run, O2. We trained a newly developed Mini-Inception Resnet neural network using time-frequency images corresponding to injections of simulated phenomenological signals, which mimic the waveforms obtained in 3D num…

PhysicsArtificial neural networkPhysics and Astronomy (miscellaneous)Gravitational wavebusiness.industryDeep learningType II supernovaConstant false alarm rateSupernovaRobustness (computer science)WaveformGravitational waves; machine learning; supernovaArtificial intelligenceNeutrinobusinessAlgorithmPhysical Review D
researchProduct

Implementation of a two stage fully-blind self-adapted spectrum sensing algorithm

2017

In this paper, an experimental validation of a combined two-stage detector called 2EMC is carried out. The detector is proposed in [1]. The 2EMC is composed of energy detector as a primary stage and maximum-minimum eigenvalue detector as a secondary stage. The 2EMC outperforms the two individual detectors in terms of the probability of detection for the same probability of false alarm. Regarding the complexity measured in the sensing time, the 2EMC sensing time is bounded by the sensing times of the two individual detectors. 2EMC incorporates noise estimation that is used by the energy detector, which makes it fully-blind and self-adapted detector. The noise estimator performance is express…

Physics::Instrumentation and DetectorsComputer scienceDetectorEstimator020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyStatistical powerNoiseSignal-to-noise ratio0203 mechanical engineeringBounded function0202 electrical engineering electronic engineering information engineeringHigh Energy Physics::ExperimentFalse alarmAlgorithmEnergy (signal processing)2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)
researchProduct

Cellular Models and Assays to Study NLRP3 Inflammasome Biology

2020

The NLRP3 inflammasome is a multi-protein complex that initiates innate immunity responses when exposed to a wide range of stimuli, including pathogen-associated molecular patterns (PAMPs) and danger-associated molecular patterns (DAMPs). Inflammasome activation leads to the release of the pro-inflammatory cytokines interleukin (IL)-1β and IL-18 and to pyroptotic cell death. Over-activation of NLRP3 inflammasome has been associated with several chronic inflammatory diseases. A deep knowledge of NLRP3 inflammasome biology is required to better exploit its potential as therapeutic target and for the development of new selective drugs. To this purpose, in the past few years, several tools have…

Programmed cell death2019-20 coronavirus outbreakInflammasomesInterleukin-1betaReviewBiologyBiochemical assaysModels BiologicalCatalysisInflammasomelcsh:ChemistryInorganic ChemistryNLRP3NLR Family Pyrin Domain-Containing 3 ProteinPyroptosismedicineDeep knowledgeAlarminsAnimalsHumansPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologySpectroscopyInnate immune systemintegumentary systemCell modelsPathogen-Associated Molecular Pattern MoleculesOrganic ChemistryInterleukin-18InterleukinInflammasomeGeneral MedicineBiophysical assaysImmunity InnateComputer Science ApplicationsCell biologyNLRP3 inhibitorslcsh:Biology (General)lcsh:QD1-999Mechanism of actionRead-outsmedicine.symptomInflammasome complexSignal Transductionmedicine.drugInternational Journal of Molecular Sciences
researchProduct

Ventilator Settings to Avoid Nuisance Alarms During Mouthpiece Ventilation

2016

BACKGROUND: A recent study found that activation of disconnection and low-pressure alarms is common during mouthpiece ventilation and may represent a major limitation to its use. The aim of this bench study was: (1) to investigate the technical aspects that can influence the setting of the ventilator during mouthpiece ventilation and (2) to provide a practical setting strategy to avoid the alarm activation. METHODS: Eight life-support ventilators able to deliver volume controlled ventilation were tested in a bench study using a single-limb non-vented circuit configuration connected to a standard mouthpiece. Disconnection and apnea alarm were turned off or set at the least sensitive setting.…

Pulmonary and Respiratory Medicinemedicine.medical_treatmentCritical Care and Intensive Care Medicine03 medical and health sciencesALARMMechanical ventilation0302 clinical medicineTidal VolumemedicineVentilator settingsHumansChronic respiratory failureChronic respiratory failure; Mechanical ventilation; Mechanical ventilators; Neuromuscular disease; Noninvasive ventilation; Pulmonary ventilation030212 general & internal medicineMouthpieceTidal volumeSimulationMechanical ventilationVentilators Mechanicalbusiness.industryApnea alarmMechanical ventilatorEquipment DesignGeneral MedicineNeuromuscular diseaseEquipment Failure AnalysisEquipment Failure Analysi030228 respiratory systemTurn offClinical AlarmsAnesthesiaPulmonary ventilationBreathingMechanical ventilatorsClinical AlarmbusinessNoninvasive ventilationHumanRespiratory Care
researchProduct

Detection and Recognition of Target Signals in Radar Clutter via Adaptive CFAR Tests

2006

In this paper, adaptive CFAR tests are described which allow one to classify radar clutter into one of several major categories, including bird, weather, and target classes. These tests do not require the arbitrary selection of priors as in the Bayesian classifier. The decision rule of the recognition techniques is in the form of associating the p-dimensional vector of observations on the object with one of the m specific classes. When there is the possibility that the object does not belong to any of the m classes, then this object is to be classified as belonging to one of the m classes or to class m+1 whose distribution is unspecified. The tests are invariant to intensity changes in the …

Radar trackerComputer sciencebusiness.industryPattern recognitionlaw.inventionConstant false alarm rateNaive Bayes classifierSpace-time adaptive processinglawStationary target indicationClutterFalse alarmArtificial intelligenceRadarbusiness2006 IEEE International Conference on Industrial Technology
researchProduct

Ritorni

2012

Settore L-ART/05 - Discipline Dello SpettacoloB-alarm
researchProduct