Search results for "Instrumentation"

showing 10 items of 4914 documents

Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks

2022

The sharing of high-quality traffic information plays a crucial role in enhancing the driving experience and safety performance for vehicular networks, especially in the development of electric vehicles (EVs). The crowdsourcing-based real-time navigation of charging piles is characterized by low delay and high accuracy. However, due to the lack of an effective incentive mechanism and the resource-consuming bottleneck of sharing real-time road conditions, methods to recruit or motivate more EVs to provide high-quality information gathering has attracted considerable interest. In this paper, we first introduce a blockchain platform, where EVs act as the blockchain nodes, and a reputation-base…

Fluid Flow and Transfer ProcessesblockchainProcess Chemistry and TechnologyGeneral EngineeringreputationresursointilohkoketjutComputer Science Applicationsblockchain; reputation; crowdsourcing; incentive mechanism; vehicular networkslangaton tiedonsiirtojoukkoistaminenincentive mechanismGeneral Materials Sciencecrowdsourcingvehicular networksliikennetelematiikkaInstrumentationlangattomat verkot
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Analysis of the Thermo-Mechanical Behaviour of the EU DEMO Water-Cooled Lithium Lead Central Outboard Blanket Segment under an Optimized Thermal Field

2022

Within the framework of the EUROfusion research activities on the DEMO Water-Cooled Lithium Lead (WCLL) Breeding Blanket (BB) design, a research study was performed to preliminarily optimize, from the thermal point of view, the WCLL Central Outboard Blanket (COB) segment in order to investigate its structural behaviour under a realistic thermal field. In particular, a study of thermal analyses was performed to optimize the Double Walled Tubes and Segment Box cooling channels’ geometric configurations along the poloidal extension of the WCLL COB segment, in order to obtain a spatial temperature distribution fulfilling the thermal design requirement. Then, the thermo-mechanical analysis of th…

Fluid Flow and Transfer Processesbreeding blanketTechnologyQH301-705.5Process Chemistry and TechnologyTPhysicsQC1-999General Engineeringthermo-mechanicsFEM analysisDEMO WCLLEngineering (General). Civil engineering (General)Computer Science ApplicationsDEMO WCLL; breeding blanket; thermo-mechanics; FEM analysisChemistryGeneral Materials ScienceTA1-2040Biology (General)InstrumentationQD1-999Settore ING-IND/19 - Impianti NucleariApplied Sciences
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Artificial Intelligence Applications on Restaging [18F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomic…

2022

Featured Application Based on results defined in this study, new investigations might propose morpho-functional-based radiomics algorithms for risk stratification with possible impact on treatment management in colorectal cancer. The aim of this study was to investigate the application of [F-18]FDG PET/CT images-based textural features analysis to propose radiomics models able to early predict disease progression (PD) and survival outcome in metastatic colorectal cancer (MCC) patients after first adjuvant therapy. For this purpose, 52 MCC patients who underwent [F-18]FDGPET/CT during the disease restaging process after the first adjuvant therapy were analyzed. Follow-up data were recorded f…

Fluid Flow and Transfer ProcessescolonradiomicsProcess Chemistry and TechnologyGeneral Engineeringpositron emission tomography-computed tomographycancercolon; cancer; radiomics; artificial intelligence; positron emission tomography-computed tomography; nuclear medicineGeneral Materials Sciencenuclear medicineartificial intelligenceInstrumentationComputer Science Applications
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Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks

2022

As most of the community discovery methods are researched by static thought, some community discovery algorithms cannot represent the whole dynamic network change process efficiently. This paper proposes a novel dynamic community discovery method (Phylogenetic Planted Partition Model, PPPM) for phylogenetic evolution. Firstly, the time dimension is introduced into the typical migration partition model, and all states are treated as variables, and the observation equation is constructed. Secondly, this paper takes the observation equation of the whole dynamic social network as the constraint between variables and the error function. Then, the quadratic form of the error function is minimized…

Fluid Flow and Transfer Processescommunity discoverySettore INF/01 - Informaticatemporal networksProcess Chemistry and TechnologyGeneral Engineeringtemporal networks; community discovery; phylogenetic evolution; planted of partitionplanted of partitionGeneral Materials Sciencephylogenetic evolutionInstrumentationComputer Science ApplicationsApplied Sciences; Volume 12; Issue 8; Pages: 3795
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Investigating Limits in Exploiting Assembled Landslide Inventories for Calibrating Regional Susceptibility Models: A Test in Volcanic Areas of El Sal…

2022

This research is focused on the evaluation of the reliability of regional landslide susceptibility models obtained by exploiting inhomogeneous (for quality, resolution and/or triggering related type and intensity) collected inventories for calibration. At a large-scale glance, merging more inventories can result in well-performing models hiding potential strong predictive deficiencies. An example of the limits that such kinds of models can display is given by a landslide susceptibility study, which was carried out for a large sector of the coastal area of El Salvador, where an apparently well-performing regional model (AUC = 0.87) was obtained by regressing a dataset through multivariate ad…

Fluid Flow and Transfer Processesdebris flowsProcess Chemistry and Technologyincomplete landslide archives; MARS; Central America; validation procedures; regional-scale; debris flowsincomplete landslide archiveGeneral EngineeringMARSGeneral Materials ScienceCentral Americaregional-scaleInstrumentationvalidation procedureComputer Science ApplicationsApplied Sciences; Volume 12; Issue 12; Pages: 6151
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Robustness, Stability, and Fidelity of Explanations for a Deep Skin Cancer Classification Model

2022

Skin cancer is one of the most prevalent of all cancers. Because of its being widespread and externally observable, there is a potential that machine learning models integrated into artificial intelligence systems will allow self-screening and automatic analysis in the future. Especially, the recent success of various deep machine learning models shows promise that, in the future, patients could self-analyse their external signs of skin cancer by uploading pictures of these signs to an artificial intelligence system, which runs such a deep learning model and returns the classification results. However, both patients and dermatologists, who might use such a system to aid their work, need to …

Fluid Flow and Transfer Processesexplainable artificial intelligenceskin cancerProcess Chemistry and TechnologyGeneral Engineeringconvolutional neural networkdeep learningsyväoppimineninterpretable machine learningpäätöksentukijärjestelmätneuroverkotdiagnostiikkaComputer Science Applicationsihosyöpälocal model-agnostic explanationskoneoppiminenGeneral Materials ScienceInstrumentationexplainable artificial intelligence; interpretable machine learning; skin cancer; convolutional neural network; deep learning; integrated gradients; local model-agnostic explanationsintegrated gradientsApplied Sciences
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3 He/4He Signature of Magmatic Fluids from Telica (Nicaragua) and Baru (Panama) Volcanoes, Central American Volcanic Arc

2022

Constraining the magmatic 3He/4He signature of fluids degassed from a magmatic system is crucial for making inferences on its mantle source. This is especially important in arc volcanism, where variations in the composition of the wedge potentially induced by slab sediment fluids must be distinguished from the effects of magma differentiation, degassing, and crustal contamination. The study of fluid inclusions (FIs) trapped in minerals of volcanic rocks is becoming an increasingly used methodology in geochemical studies that integrates the classical study of volcanic and geothermal fluids. Here, we report on the first noble gas (He, Ne, Ar) concentrations and isotopic ratios of FI in olivin…

Fluid Flow and Transfer Processesfluid inclusionHeCAVAProcess Chemistry and TechnologyGeneral Engineeringslab fluidsTelica volcanoBaru volcanoComputer Science ApplicationsTelica volcano; Baru volcano; <sup>3</sup>He/<sup>4</sup>He; fluid inclusions; CAVA; slab fluidsfluid inclusionsslab fluidGeneral Materials Science3He/4HeInstrumentation
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Non-Waste Technology for Utilization of Tree Branches

2022

The trees (e.g., fruit or decorative) growing on the homestead plots of private households provide opportunities for sustainable biomass obtained from pruned branches every year. Profitable production of fuel material requires high-performance equipment and methods by which wood chips can be produced at low cost. The practice of chopping tree branches shows that not all chopping machines are suitable for use on homestead plots. This research gives the five-year test results of a developed and patented tree branch chopping machine under special operating conditions. The machine was tested under the conditions of the homestead plot of a private household in the Poltava region, and the enginee…

Fluid Flow and Transfer Processesfuel materialProcess Chemistry and TechnologyGeneral Engineeringcutting angleGeneral Materials Sciencepower consumptiontree branch chopperInstrumentationsize of knives’ protrusionComputer Science Applicationschopping processtree branch chopper; cutting angle; size of knives’ protrusion; chopping process; power consumption; fuel materialApplied Sciences; Volume 12; Issue 17; Pages: 8871
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Rapid Weight Loss Coupled with Sport-Specific Training Impairs Heart Rate Recovery in Greco-Roman Wrestlers

2022

Wrestling is a sport that can be classified with the use of alternating aerobic&ndash;anaerobic metabolism with moderate but high-impact energy expenditure. Heart rate recovery (HRR) is the difference between heart rate during exercise and a certain amount of time after the start of recovery. The goal of this study was to determine the difference in HRR between two phases: high-intensity sport-specific training (HISST) combined with rapid weight loss (RWL)&mdash;phase 1 (P1) and HISST only&mdash;phase 2 (P2). Ten national-level wrestlers were included in this study. All participants underwent HISST along with RWL procedures for P1. Seven days later, during P2, an identical training session …

Fluid Flow and Transfer Processesintermittent exerciseaerobic recoveryProcess Chemistry and TechnologyGeneral Engineeringaerobic recovery ; wrestling ; weight reduction ; intermittent exercisewrestlingaerobic recovery; wrestling; weight reduction; intermittent exerciseGeneral Materials Scienceweight reductionhuman activitiesInstrumentationComputer Science ApplicationsApplied Sciences
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DNA Computing: Concepts for Medical Applications

2022

The branch of informatics that deals with construction and operation of computers built of DNA, is one of the research directions which investigates issues related to the use of DNA as hardware and software. This concept assumes the use of DNA computers due to their biological origin mainly for intelligent, personalized and targeted diagnostics frequently related to therapy. Important elements of this concept are (1) the retrieval of unique DNA sequences using machine learning methods and, based on the results of this process, (2) the construction/design of smart diagnostic biochip projects. The authors of this paper propose a new concept of designing diagnostic biochips, the key elements o…

Fluid Flow and Transfer Processesmachine learning; DNA computer; biochips; queue automata; type IIB endonucleasesProcess Chemistry and TechnologyGeneral EngineeringGeneral Materials ScienceInstrumentationComputer Science ApplicationsApplied Sciences-Basel
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