Search results for "Civil Engineering"

showing 10 items of 1216 documents

Using the factorial experiment method to analyze the corrosion protection process

2017

The organization functions are: research-development, production, commercial, financial-accounting, personnel and quality. In this paper the factorial experimental method will be applied, which is currently one of the most widespread methods used in the research-development departments of the organizations, due to its advantages and efficiency. The experiment was carried out at SC Coifer Impex SRL-Mirsa’s metal structures factory. In this paper it is presented the factors modelling that exerts their influence on two objectives functions: the ensuring the nominal thickness of the rough-cast film and the consumption limiting. For data processing the STATISTICA 7 software was used which provid…

FactorialEngineeringData processingbusiness.industryProcess (engineering)media_common.quotation_subjectMechanical engineeringFactorial experimentNominal sizeSoftwarelcsh:TA1-2040Factory (object-oriented programming)Quality (business)Process engineeringbusinesslcsh:Engineering (General). Civil engineering (General)media_commonMATEC Web of Conferences
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Classification of Heart Sounds Using Convolutional Neural Network

2020

Heart sounds play an important role in the diagnosis of cardiac conditions. Due to the low signal-to-noise ratio (SNR), it is problematic and time-consuming for experts to discriminate different kinds of heart sounds. Thus, objective classification of heart sounds is essential. In this study, we combined a conventional feature engineering method with deep learning algorithms to automatically classify normal and abnormal heart sounds. First, 497 features were extracted from eight domains. Then, we fed these features into the designed convolutional neural network (CNN), in which the fully connected layers that are usually used before the classification layer were replaced with a global averag…

Feature engineeringComputer science0206 medical engineeringconvolutional neural networkneuroverkot02 engineering and technologyOverfittingConvolutional neural networklcsh:Technologylcsh:Chemistry0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceSensitivity (control systems)sydäntauditInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrylcsh:TProcess Chemistry and TechnologyDeep learning020208 electrical & electronic engineeringGeneral EngineeringPattern recognitiondiagnostiikkaMatthews correlation coefficientautomatic heart sound classification020601 biomedical engineeringlcsh:QC1-999Computer Science Applicationsfeature engineeringkoneoppiminenlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Heart soundsArtificial intelligencetiedonlouhintabusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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Contribution to the development of 100% bio-based composites : synthesis of bio-based polyepoxides, supercritical CO2 treatment of hemp fibers and im…

2018

This thesis contributes to the development of 100% bio-based hemp/epoxy composites. Current environmental issues favor the emergence of materials derived from renewable resources such as plant fibres and a wide range of bio-based building-blocks, source of epoxy prepolymers in particular. An intensive investigation of the two constituents (hemp fibres and polyepoxidic matrix) is carried out before the composites manufacturing. Supercritical CO2 treatment is applied to hemp fibres used as reinforcement in composite materials. This treatment, not optimized, leads to better individualization as well as a decrease in the hygroscopic power of the fibres. These aspects, which are essential in ord…

Fibres de chanvrePre-Treatment supercritical CO2Bio-Based polyepoxides thermosetsPolyépoxydes thermodurcissables bio-SourcésPropriétés mécaniquesMechanical properties[SPI.GCIV.EC] Engineering Sciences [physics]/Civil Engineering/Eco-conceptionPré-Traitement au CO2 supercritique[SPI.MAT] Engineering Sciences [physics]/MaterialsHemp fibres[SPI.MECA] Engineering Sciences [physics]/Mechanics [physics.med-ph]Composites
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Allocation of logistic risk-investment in public-private-partnership – use of fuzzy TOPSIS method

2018

Appropriate risk assessment related to the project, and then its distribution between partners is the core of cooperation in the framework of public-private partnership (PPP). Risk analysis for investment project in the PPP formula includes: preliminary identification of risks associated with the investment, preliminary assessment and forecast of probability of occurrence of risks in the recommended option of investment implementation, initial analysis of the distribution of risks between a public and private entity depending on the legal and organizational model adopted, including the determination of the appropriate separation between the parties to the contract. The article presents the …

FinancePublic–private partnershipbusiness.industrylcsh:TA1-2040Fuzzy topsisbusinessInvestment (macroeconomics)lcsh:Engineering (General). Civil engineering (General)MATEC Web of Conferences
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Performance of Fine-Tuning Convolutional Neural Networks for HEp-2 Image Classification

2020

The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provided by Human Epithelial type 2 (HEp-2) cells. The first phase of HEp-2 type image analysis involves the classification of fluorescence intensity in the positive/negative classes. However, the analysis of IIF images is difficult to perform and particularly dependent on the experience of the immunologist. For this reason, the interest of the scientific community in finding relevant technological solutions to the problem has been high. Deep lea…

Fine-tuningComputer scienceautoimmune diseaseHEp-202 engineering and technologylcsh:TechnologyConvolutional neural network030218 nuclear medicine & medical imagingImage (mathematics)lcsh:Chemistry03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringautoimmune diseasesGeneral Materials Sciencelcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesContextual image classificationReceiver operating characteristiclcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningGeneral EngineeringCNNsdeep learningPattern recognitionGold standard (test)lcsh:QC1-999Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)IIF testComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Feature (computer vision)020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businessfine-tuninglcsh:PhysicsCNNfeatures extractorApplied Sciences
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Deep Convolutional Neural Networks for Fire Detection in Images

2017

Detecting fire in images using image processing and computer vision techniques has gained a lot of attention from researchers during the past few years. Indeed, with sufficient accuracy, such systems may outperform traditional fire detection equipment. One of the most promising techniques used in this area is Convolutional Neural Networks (CNNs). However, the previous research on fire detection with CNNs has only been evaluated on balanced datasets, which may give misleading information on real-world performance, where fire is a rare event. Actually, as demonstrated in this paper, it turns out that a traditional CNN performs relatively poorly when evaluated on the more realistically balance…

Fine-tuningFire detectionComputer sciencebusiness.industryEvent (computing)Training time020101 civil engineeringImage processingPattern recognition02 engineering and technologyReplicateConvolutional neural network0201 civil engineering0202 electrical engineering electronic engineering information engineeringBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusiness
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Fluid–structure interaction of downwind sails: a new computational method

2018

The spreading of high computational resources at very low costs led, over the years, to develop new numerical approaches to simulate the fluid surrounding a sail and to investigate the fluid–structure interaction. Most methods have concentrated on upwind sails, due to the difficulty of implementing downwind sailing configurations that present, usually, the problem of massive flow separation and large displacements of the sail under wind load. For these reasons, the problem of simulating the fluid–structure interaction (FSI) on downwind sails is still subject of intensive investigation. In this paper, a new weak coupled procedure between a RANS solver and a FEM one has been implemented t…

Finite element methodComputer science020101 civil engineeringOcean Engineering02 engineering and technologyComputational fluid dynamicsMainsailInteractive sail designOceanographyWind speed0201 civil engineeringComputational fluid dynamicFluid–structure interactionMechanics of MaterialSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialebusiness.industryMechanical EngineeringSolverFinite element methodWind engineeringMechanics of MaterialsGennakerFluid–structure interaction Finite element method Computational fluid dynamics Gennaker Mainsail Interactive sail designConvergence problembusinessReynolds-averaged Navier–Stokes equationsFluid–structure interactionMarine engineering
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Performance-Based Engineering of Wind-Excited Structures: A General Methodology

2016

The current prescriptive design philosophy that relies simply on meeting requirements stipulated in standards is shifting towards a performance-based design (PBD) approach for achieving designs that rationally meet society’s need for a truly safe built environment. Extensive research has facilitated the successful adoption of PBD in earthquake engineering, but the same cannot be said for wind engineering. Therefore, the need exists to initiate a similar effort by defining a framework that fully embraces the concepts of PBD during the design of building systems to resist severe wind events. This paper illustrates the development of such a PBD framework. In particular, a method is proposed sp…

Finite element methodEarthquake engineeringDesignComputer sciencebusiness.industryBudget controlStructural analysis020101 civil engineering02 engineering and technologyStructural engineeringEngineering mathematicsFinite element method0201 civil engineering020303 mechanical engineering & transportsEarthquake engineering0203 mechanical engineeringExcited stateSettore ICAR/08 - Scienza Delle Costruzionibusiness
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Design of RC joints equipped with hybrid trussed beams and friction dampers

2021

Abstract The challenge of this research consists in the first attempt to apply a dissipative friction connection to beam-to-column joints with semi-prefabricated Hybrid Steel-Trussed Concrete Beams (HSTCB) and RC pillars cast in-situ. Nowadays, HSTCBs are widely adopted in civil and industrial buildings and, therefore, it is required to evaluate their compliance with the capacity design criteria and their seismic energy dissipation capability. However, the design of the reinforcement of such beams usually lead to the adoption of large amount of steel within the panel zone which becomes potentially vulnerable to the effects of seismic cyclic actions and dramatically reduce the dissipation ca…

Finite element modelsComputer scienceShear force0211 other engineering and technologies020101 civil engineering02 engineering and technologyRC jointsSeismic energy dissipation0201 civil engineeringDamper021105 building & constructionmedicineTorqueCivil and Structural Engineeringbusiness.industryFriction dampersStiffnessStructural engineeringDissipationFinite element methodSettore ICAR/09 - Tecnica Delle CostruzioniCyclic behaviour; Earthquake design; Finite element models; Friction dampers; Hybrid steel-trussed-concrete beams; RC joints; Seismic energy dissipation; Structural designHybrid steel-trussed-concrete beamsStructural designBending momentCyclic behaviourEarthquake designmedicine.symptombusinessBeam (structure)Engineering Structures
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Robotized semiautomatic motorcycle transmission development. Electronic and software design

2017

In this paper, we propose an electrical design (implemented on a PCB board) and an accompanying software design for controlling the automatic gear change. The designs complement the mechanical solutions developed in Part 1. The paper also analyses the issues encountered during the intermediate steps of the development of the electronic module, which is expected to be small and adaptable enough to be installed on a motorcycle without changing its ergonomics. The control software runs on the Arduino Nano board and is built as a state machine with one idle state, five active states that cover different stages of the gear change and one error state for preventing malfunctions in case of an unex…

Finite-state machinebusiness.industryEvent (computing)ByteAutomotive engineeringPrinted circuit boardTransmission (telecommunications)lcsh:TA1-2040Embedded systemArduinoSoftware designState (computer science)lcsh:Engineering (General). Civil engineering (General)businessMATEC Web of Conferences
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