Search results for "LESS"

showing 10 items of 2452 documents

Il monastero di Santa Caterina d’Alessandria di Palermo: conoscere per conservare

2019

Il saggio indaga il complesso monumentale di Santa Caterina d’Alessandria, di Palermo, che costituisce uno dei più antichi monasteri di clausura della città. Il contributo è il frutto della ricerca condotta da Renata Prescia e Rosario Scaduto e presentata nel catalogo della mostra Sacra et preziosa Orificeria dai monasteri di Palermo capitale, tenutasi nel Monastero di Santa Caterina d’Alessandria di Palermo, 28.12.2018-31.05.2019. Grazie alla convenzione sottoscritta dal Dipartimento di Architettura e la Soprintendenza per i Beni Culturali e Ambientali di Palermo è stato possibile effettuare un particolareggiato rilievo dello stato di conservazione del monumento e presentare dei progetti p…

Monastery of Santa Caterina d’Alessandria in Palermo Restauration Maintenance Conservation DevelopmentMonastero di S. Caterina in Palermo Restauro Manutenzione Conservazione ValorizzazioneSettore ICAR/19 - Restauro
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Learning From Errors: Detecting Cross-Technology Interference in WiFi Networks

2018

In this paper, we show that inter-technology interference can be recognized using commodity WiFi devices by monitoring the statistics of receiver errors. Indeed, while for WiFi standard frames the error probability varies during the frame reception in different frame fields (PHY, MAC headers, and payloads) protected with heterogeneous coding, errors may appear randomly at any point during the time the demodulator is trying to receive an exogenous interfering signal. We thus detect and identify cross-technology interference on off-the-shelf WiFi cards by monitoring the sequence of receiver errors (bad PLCP, bad FCS, invalid headers, etc.) and propose two methods to recognize the source of in…

MonitoringComputer Networks and CommunicationsComputer scienceReal-time computingheterogeneous network050801 communication & media studies02 engineering and technologySpectrum managementZigBee0508 media and communicationsArtificial IntelligencePHY0202 electrical engineering electronic engineering information engineeringLong Term EvolutionDemodulationWireless fidelityHidden Markov modelsHidden Markov modelCross technology interferenceArtificial neural networkSettore ING-INF/03 - Telecomunicazioni05 social sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKScoexistenceunlicensed bands020206 networking & telecommunicationsThroughputLearning from errorsHardware and ArchitectureInterferenceCoding (social sciences)
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Evoluzione degli aromi varietali durante l’appassimento dell’uva Moscato d’Alessandria

2009

Moscato d'Alessandria aromi varietali appassimento uveSettore AGR/15 - Scienze E Tecnologie Alimentari
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Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Motion analysisComputer scienceProcess (engineering)media_common.quotation_subject0206 medical engineeringBiomedical EngineeringBiophysicsneuroverkot02 engineering and technologyMachine learningcomputer.software_genreTask (project management)QA7603 medical and health sciences0302 clinical medicineDeep LearningArtificial IntelligenceHumansOrthopedics and Sports MedicineQuality (business)liikeanalyysiPosemedia_commonQMliikeoppiArtificial neural networkGV557_SportsT1business.industrymotion analysisRehabilitationSupervised learningdeep neural networkartificial intelligence020601 biomedical engineeringBiomechanical Phenomenakoneoppiminenkinematicsmarkerless trackingArtificial intelligenceNeural Networks ComputerbusinessTransfer of learningcomputer030217 neurology & neurosurgeryAlgorithms
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Viva voce: Voice and Voicelessness among Twelfth-Century Clerics

2015

Writing in his Summa on Gratian’s Decretum1 toward 1164, canonist Rufinus of Bologna2 evokes criminal prelates, saying, “vocem accusandi, reprehendi, docendi non habent” (they do not have a voice to accuse, punish, teach).3 Should this enumeration be understood as a commonplace statement about three possible functions of the voice, or should we suspect a set of deeper associations? Is Rufinus’s use of the word “voice” simply an alternative to other rhetorical or stylistic possibilities—such as the word “word” in particular—or is it truly a deliberate choice on the part of the canonist?

Moyen ÂgeHistory[ SHS.HIST ] Humanities and Social Sciences/HistoryStatement (logic)05 social sciences0507 social and economic geography06 humanities and the arts16. Peace & justice050701 cultural studiesLinguisticsfilm.subject060104 historyHistoirefilm[SHS.HIST] Humanities and Social Sciences/HistoryRhetorical questionPastoral careDemonic Possession0601 history and archaeologySuspectSet (psychology)[SHS.HIST]Humanities and Social Sciences/HistoryWord (computer architecture)VoicelessnessComputingMilieux_MISCELLANEOUS
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Multi-scale computational homogenization with applications to masonry structures

Multi-scale meshless masonry
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Enabling Retransmissions for Achieving Reliable Multicast Communications in WSNs

2016

To ensure end-to-end reliable multicast or broadcast transmissions in IEEE 802.15.4 based wireless sensor networks WSNs) is a challenging task since no retransmission and acknowledgment mechanisms are defined in such WSNs. In this paper, we propose three retransmission enabled multicast transmission schemes in order to achieve reliable packet transmissions in such networks. Different from the legacy CSMA/CA principle, these schemes allow a sending or forwarding node to retransmit a packet if necessary and enable implicit or/and explicit acknowledgment for multicast services. Simulations are performed in order to assess the performance of these schemes in terms of number of retransmissions, …

Multicast transmissionProtocol Independent MulticastMulticastbusiness.industryNetwork packetComputer scienceDistributed computingRetransmissionComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologyEnergy consumptionKey distribution in wireless sensor networksSource-specific multicastPacket lossReliable multicast0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingXcastbusinessWireless sensor networkPragmatic General MulticastComputer network2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
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Priority-oriented multicast transmission schemes for heterogeneous traffic in WSNs

2016

To ensure quality of service (QoS) for heterogeneous traffic in IEEE 802.15.4 based wireless sensor networks (WSNs) is a challenging task since no traffic prioritization mechanism is defined in such WSNs. In this paper, we propose two priority-oriented multicast transmission schemes to provide QoS for heterogeneous traffic in WSNs. Contrary to the legacy CSMA/CA and FIFO principles, these schemes differentiate self-generated or received traffic and give priority to delay-sensitive traffic with respect to channel access and packet scheduling. Simulations are performed in order to assess the performance of these schemes in terms of end-to-end delay, energy consumption, packet delivery ratio, …

Multicast transmissionbusiness.industryNetwork packetFIFO (computing and electronics)Computer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyEnergy consumptionTask (computing)0508 media and communications0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer networkCommunication channel2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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What's New for QoS in IEEE 802.11?

2013

Two amendments to IEEE 802.11 have recently been published: 802.11aa and 802.11ae. Both enhance Quality of Service (QoS) provisioning in Wi-Fi networks by providing support for multicast transmission, enhanced audio video streaming, coping with inter-network interference, and improved prioritization of management frames. The proposed solutions either extend mechanisms already existing in the standard or introduce new ones. Therefore, it is important for researchers to understand the new functionalities. To this end we provide the first description of these latest mechanisms: we present the motivation behind them, explain their design principles, provide examples of usage, and comment on com…

MulticastComputer Networks and Communicationsbusiness.industryComputer scienceSettore ING-INF/03 - TelecomunicazioniQuality of serviceQuality of ServiceProvisioningMobile QoSIEEE 802.11Hardware and ArchitectureReliable multicastIEEE 802.11e-2005Video streamingbusinessSoftwareWireless networkInformation SystemsComputer network
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Evaluation and improvement of collective flooding in WSNs with various link correlations

2015

One of the main challenges confronted by wireless sensor networks (WSNs) is to reduce energy consumption of nodes for the purpose of network lifetime extension. In the literature, many backbone based protocols such as connected dominating set (CDS) and broadcast or multicast based protocols are employed in order to improve network performance in terms of metrics like energy consumption, number of transmissions and dissemination delay. In this paper, we evaluate the performance of a recently proposed transmission protocol known as collective flooding (CF), which is based on link correlation, under various link correlation conditions. Through simulations and analyses we demonstrate that altho…

MulticastComputer sciencebusiness.industryDistributed computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnergy consumptionNetwork topologyConnected dominating setFlooding (computer networking)Key distribution in wireless sensor networksNetwork performancebusinessWireless sensor networkComputer network2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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