Search results for "architecture"

showing 10 items of 3706 documents

Development of Eco-Friendly and Self-Cleaning Lime-Pozzolan Plasters for Bio-Construction and Cultural Heritage

2020

Summarization: Nowadays, the design and use of multi-functional mortars has increased significantly, with interesting applications in the green building and cultural heritage conservation sectors. A key point for a correct adoption of these innovative materials is their behavior along time and their resistance to the weathering. The objective of this project was to define the performance and durability of innovative mortars, in order to use them correctly and to avoid irreparable damage over time. For the development of this project, lime–metakaolin and hydraulic lime–metakaolin based mortars (hereinafter called A, B), as well as A and B with the addition of nano-TiO2 and perlite (hereinaft…

Artificial ageingAbsorption of waterenergy efficient mortars; photocatalytic; cultural heritage; bio architecture; nano-titanium dioxide; artificial ageing; self-cleaning0211 other engineering and technologiesPhotocatalytic02 engineering and technologyengineering.materialnano-titanium dioxidelcsh:TH1-9745Nano-titanium dioxideenergy efficient mortarenergy efficient mortarsBio architectureFlexural strength021105 building & constructionArchitectureartificial ageingCivil and Structural EngineeringLimeEnvironmental engineeringBuilding and ConstructionPozzolancultural heritage021001 nanoscience & nanotechnologyphotocatalyticEnvironmentally friendlyDurabilitySettore ICAR/12 - Tecnologia Dell'ArchitetturaCultural heritageengineeringPerlitebio architectureEnvironmental scienceMortar0210 nano-technologySelf-cleaningself-cleaningEnergy efficient mortarslcsh:Building constructionBuildings
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The Role of Artificial Intelligence Concepts in System Modelling and Simulation: An Overview

1994

The impact of modelling and simulation methodology research on the daily practice of the simulation community is becoming clearly perceivable. The same applies to the application of the artificial intelligence research in a diversity of computer related fields. As both fields are strongly based on models as the main way they convey their knowledge, the fact of synergy caused by combining these two computer related areas comes as a more or less logical consequence. There is an increasing interest of incorporating methods and techniques developed by and for the artificial intelligence community into modelling and simulation methodology and practice. This paper addresses common aspects and dif…

Artificial architecturebusiness.industryComputer scienceDaily practicemedia_common.quotation_subjectSimulation modelingState (computer science)Artificial intelligencebusinessLogical consequenceDiversity (politics)media_common
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Neural Classification of HEP Experimental Data

2009

High Energy Physics (HEP) experiments require discrimination of a few interesting events among a huge number of background events generated during an experiment. Hierarchical triggering hardware architectures are needed to perform this tasks in real-time. In this paper three neural network models are studied as possible candidate for such systems. A modified Multi-Layer Perception (MLP) architecture and a E alpha Net architecture are compared against a traditional MLP Test error below 25% is archived by all architectures in two different simulation strategies. E alpha Net performance are 1 to 2% better on test error with respect to the other two architectures using the smaller network topol…

Artificial neural networkComputer engineeringComputer scienceExperimental dataNeural Networks Intelligent Data Analysis Embedded Neural NetworksArchitecturePerceptronNetwork topology
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Road Detection for Reinforcement Learning Based Autonomous Car

2020

Human mistakes in traffic often have terrible consequences. The long-awaited introduction of self-driving vehicles may solve many of the problems with traffic, but much research is still needed before cars are fully autonomous.In this paper, we propose a new Road Detection algorithm using online supervised learning based on a Neural Network architecture. This algorithm is designed to support a Reinforcement Learning algorithm (for example, the standard Proximal Policy Optimization or PPO) by detecting when the car is in an adverse condition. Specifically, the PPO gets a penalty whenever the virtual automobile gets stuck or drives off the road with any of its four wheels.Initial experiments …

Artificial neural networkComputer sciencebusiness.industrySupervised learningNeural network architectureReinforcement learningArtificial intelligenceReinforcement learning algorithmbusinessProceedings of the 2020 The 3rd International Conference on Information Science and System
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Hybrid architecture for shape reconstruction and object recognition

1998

The proposed architecture is aimed to recover 3-D- shape information from gray-level images of a scene; to build a geometric representation of the scene in terms of geometric primitives; and to reason about the scene. The novelty of the architecture is in fact the integration of different approaches: symbolic reasoning techniques typical of knowledge representation in artificial intelligence, algorithmic capabilities typical of artificial vision schemes, and analogue techniques typical of artificial neural networks. Experimental results obtained by means of an implemented version of the proposed architecture acting on real scene images are reported to illustrate the system capabilities.

Artificial neural networkKnowledge representation and reasoningComputer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONCognitive neuroscience of visual object recognitionImage processingTheoretical Computer ScienceHuman-Computer InteractionArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)Systems architectureComputer visionGeometric primitiveArtificial intelligenceGraphicsbusinessSoftware
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Combining a context aware neural network with a denoising autoencoder for measuring string similarities

2020

Abstract Measuring similarities between strings is central for many established and fast-growing research areas, including information retrieval, biology, and natural-language processing. The traditional approach to string similarity measurements is to define a metric with respect to a word space that quantifies and sums up the differences between characters in two strings; surprisingly, these metrics have not evolved a great deal over the past few decades. Indeed, the majority of them are still based on making a simple comparison between character and character distributions without considering the words context. This paper proposes a string metric that encompasses similarities between str…

Artificial neural networkProperty (programming)Computer sciencebusiness.industryString (computer science)020206 networking & telecommunicationsContext (language use)02 engineering and technologycomputer.software_genre01 natural sciencesTheoretical Computer ScienceHuman-Computer InteractionCharacter (mathematics)0103 physical sciencesMetric (mathematics)0202 electrical engineering electronic engineering information engineeringArtificial intelligenceString metricbusiness010301 acousticscomputerSoftwareWord (computer architecture)Natural language processingComputer Speech & Language
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Joint Dynamic Resource Allocation for Coupled Heterogeneous Wireless Networks Based on Hopfield Neural Networks

2008

This paper proposes an algorithm to solve the problem of Joint Dynamic Resource Allocation in heterogeneous wireless networks. The algorithm is based on Hopfield Neural Networks to achieve fast and suboptimal solutions. The generic formulation is particularized and evaluated in an HSDPA and 802.11e WLAN coupled networks. Some illustrative simulations results are presented to evaluate the performance of the new algorithm as compared with other strategies. The obtained results confirm the validity of the proposal.

Artificial neural networkWireless networkComputer scienceDistributed computingComputer Science::Networking and Internet ArchitectureLocal area networkHeterogeneous wireless networkResource allocationThroughputResource managementIEEE 802.11e-2005VTC Spring 2008 - IEEE Vehicular Technology Conference
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Two-level branch prediction using neural networks

2003

Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive branch prediction techniques, a very specific solution to the branch prediction problem. An alternative approach is to look to other application areas and fields for novel solutions to the problem. In this paper, we examine the application of neural networks to dynamic branch prediction. We retain the first level history register of conventional two-level predictors and replace the second level PHT with a neural network. Two neural networks are considered: a learning vec…

Artificial neural networkbusiness.industryTime delay neural networkComputer scienceVector quantizationLearning vector quantisationBranch predictorMachine learningcomputer.software_genreBackpropagationApplication areasHardware and ArchitectureArtificial intelligenceHardware_CONTROLSTRUCTURESANDMICROPROGRAMMINGTime seriesbusinesscomputerSoftwareJournal of Systems Architecture
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Artificial ventilation for basic life support leads to hyperventilation in first aid providers.

2003

The 'Guidelines 2000 for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care - International Consensus on Science' recommend an artificial ventilation volume of 10 ml/kg bodyweight (equivalent to a tidal volume of 700-1000 ml) without the use of supplemental oxygen in adults with respiratory arrest. For first aid providers using the mouth-to-mouth or mouth-to-nose-ventilation technique, respectively, a ventilation volume of approximately 9.6 l/min results. Additionally, a deep breath is recommended before each ventilation to increase the end-expiratory oxygen concentration of the air exhaled by the first aid provider. To investigate the effects of these recommendations in health…

Artificial ventilationAdultMaleEmergency Medical ServicesRespiratory ratemedicine.medical_treatmentHealth PersonnelEmergency NursingRisk Assessmentlaw.inventionCohort StudieslawHyperventilationmedicineFirst AidHumansHyperventilationCardiopulmonary resuscitationTidal volumeOxygen saturation (medicine)medicine.diagnostic_testbusiness.industryPulmonary Gas ExchangeIncidenceCarbon DioxideRespiration ArtificialCardiopulmonary ResuscitationOxygenPulse oximetryAnesthesiaVentilation (architecture)Emergency MedicineFemalemedicine.symptomCardiology and Cardiovascular MedicinebusinessFollow-Up StudiesResuscitation
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In the places of “Fragmenta”

2021

Leggere i testi, le riflessioni e le digressioni, che catturano il lettore nella loro complementarità, significa seguire “piste” di curiosità. La nuova iniziativa editoriale della Bramea Editore riflette l’intento d’interpretare il fare architettura con dei libri che guardano il campo della cultura del progetto, dell’architettura con un raggio d’azione internazionale. Ed è proprio attraverso questa unità di intenti, ravvisabile nella progettualità editoriale della Bramea, che si fondano alcuni presupposti di riconoscibilità. I testi contenuti nei libri aprono uno scenario dove si collocano i progetti e dove l’“architetto militante” è protagonista. In quest’area culturale si muove “Fragmenta…

Arts and architecturerecensioneArchitectureSettore ICAR/14 - Composizione Architettonica E UrbanaCompositional procedures.Arti e architetturaProcedimenti compositivi.NA1-9428ComposizioneCompositionFestival dell'Architettura Magazine
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