Search results for " STORAGE"

showing 10 items of 984 documents

Snapshot hyperspectral system for noninvasive skin blood oxygen saturation monitoring

2018

The present study introduces recently developed compact hyperspectral snapshot system (device and software) for skin oxygen saturation monitoring. This prototype device involves compact snapshot hyperspectral camera, multi-wavelength illuminator, optical filter and crossed polarizers. The device was validated using reference color samples and and in-vivo during finger arterial occlusion tests. The prototype system demonstrated good performance of skin hyperspectral measurements in spectral range of 500-630nm. The results confirmed reliability of developed system for in-vivo assessment of skin blood oxygen saturation.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imaging02 engineering and technologyPolarizer021001 nanoscience & nanotechnology01 natural scienceslaw.invention010309 opticslaw0103 physical sciencesSnapshot (computer storage)0210 nano-technologyOptical filterRemote sensingBiophotonics: Photonic Solutions for Better Health Care VI
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Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks

2020

Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service infrastructure or distributed service by utilizing data platforms. The stored data can be used when implementing services, such as building automation (BAS). Cloud services, IoT sensors, and data platforms can face several kinds of cybersecurity attack vectors such as adversarial, AI-based, DoS/DDoS, insider attacks. If a perpetrator can penetrate the defenses of a data platform, she can cause significant harm to the system. For example, the perpetrator can disrupt a buildin…

Computer scienceDenial-of-service attackCloud computingComputerApplications_COMPUTERSINOTHERSYSTEMStekoälyComputer securitycomputer.software_genreInsiderpilvipalvelutälytalotComponent (UML)cloud servicetietoturvakyberturvallisuusBuilding automationbusiness.industryattack vectorsartificial intelligencePopularityartificial-intelligence-based applicationsHeating systemälytekniikkabusinessdata platformCloud storagecomputerverkkohyökkäykset
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Energy Efficient Consensus Over Directed Graphs

2018

Consensus algorithms are iterative methods that represent a basic building block to achieve superior functionalities in increasingly complex sensor networks by facilitating the implementation of many signal-processing tasks in a distributed manner. Due to the heterogeneity of the devices, which may present very different capabilities (e.g. energy supply, transmission range), the energy often becomes a scarce resource and the communications turn into directed. To maximize the network lifetime, a magnitude that in this work measures the number of consensus processes that can be executed before the first node in the network runs out of battery, we propose a topology optimization methodology fo…

Computer scienceDistributed computingNode (networking)Topology optimizationTopology (electrical circuits)Directed graphNetwork topologyWireless sensor networkEfficient energy useBlock (data storage)
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Characterization of entropy measures against data loss: Application to EEG records

2012

This study is aimed at characterizing three signal entropy measures, Approximate Entropy (ApEn), Sample Entropy (SampEn) and Multiscale Entropy (MSE) over real EEG signals when a number of samples are randomly lost due to, for example, wireless data transmission. The experimental EEG database comprises two main signal groups: control EEGs and epileptic EEGs. Results show that both SampEn and ApEn enable a clear distinction between control and epileptic signals, but SampEn shows a more robust performance over a wide range of sample loss ratios. MSE exhibits a poor behavior for ratios over a 40% of sample loss. The EEG non-stationary and random trends are kept even when a great number of samp…

Computer scienceEntropyInformation Storage and RetrievalData lossElectroencephalographySensitivity and SpecificityApproximate entropyMultiscale entropyEntropy (classical thermodynamics)SeizuresStatisticsmedicineHumansEntropy (information theory)Entropy (energy dispersal)Entropy (arrow of time)medicine.diagnostic_testbusiness.industryEntropy (statistical thermodynamics)Reproducibility of ResultsElectroencephalographyPattern recognitionSample entropyArtificial intelligenceArtifactsbusinessAlgorithmsEntropy (order and disorder)2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Analysis of block random rocking on nonlinear flexible foundation

2020

Abstract In this paper the rocking response of a rigid block randomly excited at its foundation is examined. A nonlinear flexible foundation model is considered accounting for the possibility of uplifting in the case of strong excitation. Specifically, based on an appropriate nonlinear impact force model, the foundation is treated as a bed of continuously distributed springs in parallel with nonlinear dampers. The statistics of the rocking response is examined by an analytical procedure which involves a combination of static condensation and stochastic linearization methods. In this manner, repeated numerical integration of the highly nonlinear differential equations of motion is circumvent…

Computer scienceMonte Carlo methodAerospace Engineering020101 civil engineeringOcean Engineering02 engineering and technology0201 civil engineeringDamper0203 mechanical engineeringLinearizationCivil and Structural EngineeringBlock (data storage)Mechanical EngineeringMathematical analysisNonlinear flexible foundationStatistical and Nonlinear PhysicsFilter (signal processing)Condensed Matter PhysicsNumerical integrationNonlinear systemRocking motion020303 mechanical engineering & transportsNuclear Energy and EngineeringImpactRandom base excitationSettore ICAR/08 - Scienza Delle CostruzioniProbabilistic Engineering Mechanics
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Fuzzy FMECA analysis of radioactive gas recovery system in the SPES experimental facility

2021

Abstract Selective Production of Exotic Species is an innovative plant for advanced nuclear physic studies. A radioactive beam, generated by using an UCx target-ion source system, is ionized, selected and accelerated for experimental objects. Very high vacuum conditions and appropriate safety systems to storage exhaust gases are required to avoid radiological risk for operators and people. In this paper, Failure Mode, Effects, and Criticality Analysis of a preliminary design of high activity gas recovery system is performed by using a modified Fuzzy Risk Priority Number to rank the most critical components in terms of failures and human errors. Comparisons between fuzzy approach and classic…

Computer scienceSPES FMECA Fuzzy Risk Priority Number evidence theory exhaust gas storage system020209 energySystem safety02 engineering and technologyFuzzy logicFuzzy risk priority numberPriority Number030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringSettore ING-IND/19 - Impianti NucleariRank (computer programming)TK9001-9401SPESExhaust gas storage systemReliability engineeringEvidence theoryFailure mode effects and criticality analysisNuclear Energy and EngineeringNuclear engineering. Atomic powerRisk assessmentFailure mode and effects analysisRadioactive gasFMECANuclear Engineering and Technology
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A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks

2021

Improving the energy-efficiency of remotely deployed sensor nodes in agriculture wireless networks is very challenging due to a lack of access to energy grid. Network clustering and limiting the amount of sensor data are among the various methods to improve the lifetime of these sensor nodes. In this work, an optimal sensor-selection scheme is proposed to improve the Quality of Service in clustered agriculture networks. the proposed method selects a limited number of sensor nodes to be active in each cluster. It considers the estimator performance while selecting limited sensor nodes for environmental monitoring. the optimal sensor-selection process considers the information of remaining en…

Computer scienceWireless networkQuality of serviceDistributed computing020208 electrical & electronic engineeringProcess (computing)Estimator020206 networking & telecommunications02 engineering and technologyComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringGrid energy storageWireless sensor networkEnergy (signal processing)Efficient energy use2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
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Optimizing Renewable Power Management in Transmission Congestion. An Energy Hub Model Using Hydrogen Storage

2021

Energy production from distributed renewable power plants underwent a takeoff in last years as never before. Nevertheless, the installation of technologies based on variable energy resources and their connection on transmission power lines might cause congestions due to the transmission capacity limits. This paper describes the modelization of a HV transmission line with local renewable production and its optimal management through an Energy Hub model. Aim of the study is to identify the optimal size of the power storage, based on an electoryzer, a hydrogen storage and a fuel cell, in order to minimize the congestion risks and to maximize the exploitation of renewable energy production.

Computer sciencebusiness.industryElectrolyzer energy hub green hydrogen optimization wind turbineAutomotive engineeringRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaHydrogen storageElectric power transmissionTransmission (telecommunications)Transmission lineProduction (economics)TakeoffbusinessEnergy (signal processing)2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Towards single snapshot multispectral skin assessment

2012

Skin assessment technology based on comparative analysis of single-pixel RGB signal values at poly-chromatic illumination has been proposed. Multi-spectral imaging information from a single snapshot RGB image data set with the inter-channel crosstalk correction can be extracted this way. Proof-of-concept evaluations and measurement results are presented and discussed. Potential of bi-chromatic illumination for skin hemoglobin mapping during arterial occlusion test has been demonstrated.

Computer sciencebusiness.industryMultispectral imageSnapshot (computer storage)RGB color modelComputer visionArtificial intelligencebusinessSPIE Proceedings
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Efficiency analysis of burst transmissions with block ACK in contention-based 802.11e WLANs

2005

The channel utilization efficiency of the standard 802.11 networks is severely compromised when high data transmission rates are employed, since physical layer headers and control frames are transmitted at low rate, thus wasting more channel time, proportionally. The extensions defined in the emerging 802.11e for quality-of-service (QoS) provisioning include some new mechanisms developed in order to improve the efficiency. Those include data transmission bursting (referred to as TXOP operation) and acknowledgment aggregation (referred to as block ACK). These two features allow it to offer new data transmission services, in which the data delivery and acknowledgment unit is not a single fram…

Computer sciencebusiness.industryQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingPhysical layerWireless local area networks (WLAN)ThroughputThroughputbackoff algorithmIntelligent NetworkWireless lanIEEE 802.11e-2005businessData transmissionCommunication channelBlock (data storage)Computer network
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