Search results for " sistemi"

showing 10 items of 1888 documents

Image Segmentation Techniques for Healthcare Systems

2019

The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selected by a rigorous peer-reviewing process with the support of at least two reviewers per paper, along with the opinion written in the final decision by a component of the editorial staff. Different methods on biomedical image segmentation dedicated to healthcare systems have been developed regarding, for example, the fields of machine learning, deformable models, fuzzy models, and so on. Such methods have been applied on different biomedical image modalitie…

lcsh:Medical technologyArticle SubjectComputer scienceBiomedical EngineeringMEDLINEHealth InformaticsImage processingImage Interpretation Computer-AssistedImage Processing Computer-AssistedHumansComputer visionSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:R5-920Settore INF/01 - Informaticabusiness.industrySegmentation Healthcare Remote Support Medical Imaging Diagnosis Support SystemsImage segmentationEditoriallcsh:R855-855.5Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaSurgeryArtificial intelligencebusinesslcsh:Medicine (General)Delivery of Health CareBiotechnologyHealthcare systemJournal of Healthcare Engineering
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Augmentation of weld penetration by flux assisted TIG welding and its distinct variants for oxygen free copper

2021

Abstract A comparative study to investigate the influences of single component fluxes on the depth-to-width ratio (DWR) of oxygen free copper was carried out with novel variants of tungsten inert gas (TIG) welding namely Activated TIG (A-TIG), Flux Bounded TIG (FB-TIG) and Flux Zoned TIG (FB-TIG) processes. The experiments to identify the fluxes delivering the higher DWRs in A-TIG welding among thirteen distinct fluxes were followed by the trials with FB-TIG and FZ-TIG employing those identified DWR fluxes. The fluxes which outperformed with all the techniques were MoO3 & MgO. Reversed Marangoni and arc constriction mechanisms were perceived to be opt for such an increase in DWR. Metallurgi…

lcsh:TN1-997Oxygen-free copperMaterials scienceWeld penetrationFZ-TIG Weldingchemistry.chemical_element02 engineering and technologyWeldingTungsten01 natural scienceslaw.inventionBiomaterialsFlux (metallurgy)law0103 physical sciencesInert gasSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionelcsh:Mining engineering. Metallurgy010302 applied physicsFluxMarangoni effectGas tungsten arc weldingMetallurgyOxideMetals and AlloysWeld penetrationA-TIG021001 nanoscience & nanotechnologySurfaces Coatings and FilmschemistryCeramics and Composites0210 nano-technologyCopperJournal of Materials Research and Technology
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On the distribution of lightning current among interconnected grounding systems in medium voltage grids

2018

This paper presents the results of a first investigation on the effects of lightning stroke on medium voltage installations' grounding systems, interconnected with the metal shields of the Medium Voltage (MV) distribution grid cables or with bare buried copper ropes. The study enables us to evaluate the distribution of the lightning current among interconnected ground electrodes in order to estimate if the interconnection, usually created to reduce ground potential rise during a single-line-to-ground fault, can give place to dangerous situations far from the installation hit by the lightning stroke. Four different case studies of direct lightning stroke are presented and discussed: (1) two …

lightning currentlightning strokeControl and Optimization020209 energyEnergy Engineering and Power TechnologyShields02 engineering and technologyFault (power engineering)lcsh:TechnologyBare buried rope; Full-wave; Grounding; Lightning current; Lightning Protection System (LPS); Lightning stroke; Metal shields; Computer Science (all); Renewable Energy Sustainability and the Environment; Energy Engineering and Power Technology; Energy (miscellaneous)Metal shield0202 electrical engineering electronic engineering information engineeringmetal shieldsElectrical and Electronic EngineeringEngineering (miscellaneous)Electrical conductorlcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryGroundComputer Science (all)Electrical engineeringgroundinglightning current; lightning stroke; grounding; full-wave; Lightning Protection System (LPS); metal shields; bare buried ropeLightningConductorSettore ING-IND/33 - Sistemi Elettrici Per L'Energiafull-waveSettore ING-IND/31 - ElettrotecnicaLightning Protection System (LPS)Distribution of lightningbare buried ropebusinessGeologyEnergy (miscellaneous)Voltage
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A Multi-Criteria Group Decision To Support The Maintenance Service: A Case Study

2015

The present paper wants to propose a methodology to support a group of decision makers into the choice of actions, to implement on a multi-component system, regarding the maintenance service. The choice has to be made on the basis of several criteria, namely the total maintenance cost, the system unavailability and by considering the maintenance actions feasibility. In particular, with the aim to select the maintenance service that represents for the group the best comprise among the criteria to satisfy, the proposed methodology consists of two multi-criteria decisions methods to apply in two successive phases. The first one regards the application of the Analytic Hierarchy Process (AHP) to…

maintenance service quality AHP TOPSIS multi-criteria-decision-methodSettore ING-IND/17 - Impianti Industriali MeccaniciSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Networking strategies as enabler for competitive advantage creation: a market-based and a resource-based perspectives

2010

The purpose of this work is to explore the potential of networking strategy as a source of competitive advantage by integrating market-based and resource-based logics. According to the former logic a firm identifies operations performance objectives as drivers for achieving its wished competitive position and advantage. According to the latter logic the firm achieves a competitive advantage through the obtainment and/or the creation of valuable, rare, imperfectly imitable, and not substitutable resources. Both operations performance objectives and strategic resource needs should, thus, directly affect networking strategy decisions. The question is whether they effectively do and how. In thi…

make or buy decision governance mechanism operations performance objectivesSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Achieving operations performance objectives through networking strategy

2010

The main objective of this paper is to investigate how firms make strategic networking decisions in order to pursue competitive advantage. Literature analysis with theory building purposes and two case studies to support our theoretical findings and to explore the linkages between networking strategy and operations performance objectives constitute our research methods. Our analysis led to the definition of networking strategy in terms of decisional dimensions, and found effective linkages between networking decisions made by managers and wished operations performance objectives.

make or buy decision governance mechanism operations performance objectivesSettore ING-IND/35 - Ingegneria Economico-GestionaleSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce

2018

In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as or…

media_common.quotation_subjectEnergy Engineering and Power TechnologyE-commerceBusiness modelIndustrial and Manufacturing Engineeringe-fairSupply and demandCompetition (economics)aggregation; e-fair; group buying; the blockchainArtificial Intelligencegroup buyingCommon value auctionInstrumentationIndustrial organizationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGroup buyingRenewable Energy Sustainability and the Environmentbusiness.industryaggregationComputer Science Applications1707 Computer Vision and Pattern RecognitionProduct (business)Computer Networks and CommunicationService (economics)the blockchainbusiness2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Head–Neck Cancer Delineation

2021

Head–Neck Cancer (HNC) has a relevant impact on the oncology patient population and for this reason, the present review is dedicated to this type of neoplastic disease. In particular, a collection of methods aimed at tumor delineation is presented, because this is a fundamental task to perform efficient radiotherapy. Such a segmentation task is often performed on uni-modal data (usually Positron Emission Tomography (PET)) even though multi-modal images are preferred (PET-Computerized Tomography (CT)/PET-Magnetic Resonance (MR)). Datasets can be private or freely provided by online repositories on the web. The adopted techniques can belong to the well-known image processing/computer-vision a…

medicine.medical_specialtyComputer sciencemedicine.medical_treatmentImage processinghead–neck cancer (HNC)Head neck cancerlcsh:Technology030218 nuclear medicine & medical imagingTask (project management)head and neck squamous cell carcinoma (HNSCC)lcsh:Chemistry03 medical and health sciencestumor delineation0302 clinical medicinemedicineGeneral Materials ScienceMedical physicsSegmentationlcsh:QH301-705.5InstrumentationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFluid Flow and Transfer Processesmedicine.diagnostic_testlcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningsegmentationGeneral EngineeringCT Head and neck squamous cell carcinoma (HNSCC) Head–neck cancer (HNC) MRI Nasopharyngeal cancer (NPC) PET Segmentation Tumor delineationnasopharyngeal cancer (NPC)lcsh:QC1-999Computer Science ApplicationsRadiation therapylcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Positron emission tomography030220 oncology & carcinogenesisArtificial intelligenceTomographylcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsCTApplied Sciences
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A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

medicine.medical_specialtyDatabases FactualUterine fibroidsComputer scienceAdaptive thresholdingImage ProcessingAdaptive thresholding; Automatic segmentation; Fuzzy C-Means clustering; MRgFUS treatment; Uterine fibroids; Female; Humans; Image Processing Computer-Assisted; Leiomyoma; Radiography; Algorithms; Databases Factual; Magnetic Resonance Imaging; Ultrasonography InterventionalHealth InformaticsFuzzy logicDatabasesComputer-AssistedImage Processing Computer-AssistedmedicineHumansSegmentationCluster analysisFactualUltrasonography InterventionalUltrasonographySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInterventionalLeiomyomaPixelbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance ImagingFuzzy C-Means clusteringComputer Science ApplicationsSurgeryRadiographyTreatment evaluationMRgFUS treatmentFully automaticFemaleManual segmentationArtificial intelligenceAutomatic segmentationAdaptive thresholding Automatic segmentation Fuzzy C-Means clustering MRgFUS treatment Uterine fibroidsbusinessAlgorithmsUterine fibroids
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NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

2017

Stereotactic neuro-radiosurgery is a well-established therapy for intracranial diseases, especially brain metastases and highly invasive cancers that are difficult to treat with conventional surgery or radiotherapy. Nowadays, magnetic resonance imaging (MRI) is the most used modality in radiation therapy for soft-tissue anatomical districts, allowing for an accurate gross tumor volume (GTV) segmentation. Investigating also necrotic material within the whole tumor has significant clinical value in treatment planning and cancer progression assessment. These pathological necrotic regions are generally characterized by hypoxia, which is implicated in several aspects of tumor development and gro…

medicine.medical_specialtyPathologyING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICAmedicine.medical_treatmentunsupervisedFuzzy C-Means clusteringBrain tumorRadiosurgeryING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imaging03 medical and health sciencesnecrosis extraction0302 clinical medicineMagnetic resonance imagingmedicineSegmentationElectrical and Electronic EngineeringRadiation treatment planningmedicine.diagnostic_testSettore INF/01 - Informaticabusiness.industryneuro-radiosurgery treatmentsNeuro-radiosurgery treatmentbrain tumors; magnetic resonance imaging; necrosis extraction; neuro-radiosurgery treatments; unsupervisedFuzzy C-Means clustering;brain tumors; magnetic resonance imaging; necrosis extraction; neuro-radiosurgery treatments; unsupervised Fuzzy C-Means clusteringCancerINF/01 - INFORMATICAMagnetic resonance imagingmedicine.diseaseElectronic Optical and Magnetic MaterialsRadiation therapyunsupervised Fuzzy C-Means clusteringBrain tumorUnsupervised learningbrain tumorsComputer Vision and Pattern RecognitionRadiologybusiness030217 neurology & neurosurgerySoftware
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