Search results for " 4"

showing 10 items of 3131 documents

Propulsion monitoring system for digitized ship management: Preliminary results from a case study

2020

Abstract The paradigm of Industry 4.0 a fundamental driver of innovation in marine industry, where the new digital era will see the development of smart cyber-ships equipped with advanced automation systems that will progressively evolve towards fully autonomous vessels. Although the journey towards such technological frontier has started, most companies operating in the maritime sector still appear un-prepared to face the future scenario. In the maritime sector, in fact, empirical models and oversimplified approaches are still largely employed for the management of fleet operations. There is thus the necessity of developing and providing operative models for digitized ship management, whic…

0209 industrial biotechnologyDecision support systemShip managementcontinuous engine monitoring systemsmart shipbusiness.industryDigital eraComputer scienceMonitoring systemContext (language use)02 engineering and technologyPropulsionIndustry 4.0AutomationGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringRisk analysis (engineering)Artificial IntelligenceOrder (exchange)Settore ING-IND/17 - Impianti Industriali Meccanicibusiness
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Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions

2021

Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production processes and efficiency. The term Industry 4.0 includes a variety of key enabling technologies i.e., cyber physical systems, Internet of Things, artificial intelligence, big data analytics and digital twins which can be considered as the major contributors to automated and digital manufacturing environments. Sustainability can be considered as the core of business strategy which is highlighted in the United Nations (UN) Sustainability 2030 age…

0209 industrial biotechnologyEngineeringTechnologyIndustry 4.0QH301-705.5QC1-999Big dataInternet of Things02 engineering and technology020901 industrial engineering & automationSustainable businessSettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessGeneral Materials Sciencesmart manufacturingCloud manufacturingBiology (General)InstrumentationQD1-999cloud manufacturingFluid Flow and Transfer Processesbusiness.industryProcess Chemistry and TechnologyTPhysics05 social sciencesGeneral EngineeringCyber-physical systemartificial intelligenceIndustry 4.0sustainabilityEngineering (General). Civil engineering (General)sustainable manufacturingComputer Science ApplicationsEngineering managementmanufacturingChemistrySustainabilityStrategic managementDigital manufacturingInternet of ThingTA1-2040business050203 business & managementApplied Sciences
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Industry 4.0: smart test bench for shipbuilding industry

2020

AbstractIndustry 4.0 promises to increase the efficiency of production plants and the quality of the final product. Consequently, companies that implement advanced solutions in production systems will have a competitive advantage in the future. The principles of Industry 4.0 can also be applied to shipyards to transform them into “smart shipyards” (Shipyard 4.0). The aim of this research is to implement an interactive approach by Internet of Things on a closed power-loop test bench equipped with sophisticated sensors that is specifically designed to test high-power thrusters before they are installed on high-speed crafts, which are used in passenger transport. The preliminary results of the…

0209 industrial biotechnologyEngineeringTest benchIndustry 4.0media_common.quotation_subject02 engineering and technologyShipyardPropulsionCompetitive advantageExperimental testsIndustrial and Manufacturing Engineering020901 industrial engineering & automation0502 economics and businessSettore ING-IND/17 - Impianti Industriali MeccaniciQuality (business)Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industrialemedia_commonbusiness.industry05 social sciencesIndustry 4.0Manufacturing engineeringInternet of Things (IoT)ShipbuildingModeling and SimulationTest benchCAD modellingThe Internetbusiness050203 business & management
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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

2012

Published version of a chapter in the book: Advanced Research in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31087-4_78 This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task of a Learning Mechanism attempting to locate a point on a line. The mechanism interacts with a random environment which essentially informs it, possibly erroneously, if the unknown parameter is on the left or the right of a given point which also is the current guess. The first pioneering work […

0209 industrial biotechnologyMathematical optimizationOptimization problemBinary treeDiscretizationLearning automataComputer sciencelearning automataVDP::Technology: 500::Information and communication technology: 5500102 computer and information sciences02 engineering and technologyRandom walk01 natural sciencesdicretized learningStochastic-Point problemcontrolled Random WalkVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425020901 industrial engineering & automation010201 computation theory & mathematicsLine (geometry)Convergence (routing)Point (geometry)Algorithm
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Conceptual Key Competency Model for Smart Factories in Production Processes

2020

Abstract Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the anal…

0209 industrial biotechnologyOrganizational Behavior and Human Resource ManagementKnowledge managementIndustry 4.0Strategy and Managementcompetencies conceptual key competency model smart factory Industry 4.0 automotive industryAutomotive industryQualitative property02 engineering and technologylcsh:BusinessManagement Information Systems020901 industrial engineering & automationEmpirical research0502 economics and businessBusiness and International Managementindustry 4.0CurriculumMarketingcompetenciesconceptual key competency modelbusiness.industry05 social sciencesSoft skillssmart factoryautomotive industryContent analysisTourism Leisure and Hospitality ManagementStructured interviewbusinesslcsh:HF5001-6182Settore SECS-P/08 - Economia E Gestione Delle Imprese050203 business & management
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On stability of linear dynamic systems with hysteresis feedback

2020

The stability of linear dynamic systems with hysteresis in feedback is considered. While the absolute stability for memoryless nonlinearities (known as Lure's problem) can be proved by the well-known circle criterion, the multivalued rate-independent hysteresis poses significant challenges for feedback systems, especially for proof of convergence to an equilibrium state correspondingly set. The dissipative behavior of clockwise input-output hysteresis is considered with two boundary cases of energy losses at reversal cycles. For upper boundary cases of maximal (parallelogram shape) hysteresis loop, an equivalent transformation of the closed-loop system is provided. This allows for the appli…

0209 industrial biotechnologyThermodynamic equilibriumApplied Mathematics020208 electrical & electronic engineeringMathematical analysis02 engineering and technologySystems and Control (eess.SY)Invariant (physics)Electrical Engineering and Systems Science - Systems and ControlVDP::Mathematics and natural scienses: 400Nonlinear systemHysteresis020901 industrial engineering & automationModeling and Simulation0202 electrical engineering electronic engineering information engineeringDissipative systemFOS: Electrical engineering electronic engineering information engineeringCircle criterionParallelogramVDP::Matematikk og naturvitenskap: 400Harmonic oscillatorMathematics
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Towards Shipping 4.0. A preliminary gap analysis

2020

Abstract The paradigm of Industry 4.0 involves a substantial innovation to the value creation approach thought the supply chain and the application of digital enabling technologies like the Internet of Things (IoT), Big Data Analytics (BDA) and cloud computing. The fourth industrial revolution is thus expected to have a disruptive impact on maritime transport and shipping sectors, where smart ships and autonomous vessels well be part of a new and fully interconnected maritime ecosystem. Specific hardware components, such as sensors, actuators, or processors will be embedded in the ship’s key systems in order to provide valuable information to increase the efficiency, sustainability and safe…

0209 industrial biotechnologysmart shipBig Data Analytics (BDA)business.industryComputer scienceSupply chainBig dataCloud computing02 engineering and technologyGap analysisBusiness modelIndustry 4.0Maturity (finance)Industrial and Manufacturing EngineeringInternet of Things (IoT)Engineering management020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceSettore ING-IND/17 - Impianti Industriali MeccaniciSustainabilityValue chainbusinessProcedia Manufacturing
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Institucionalización del servicio hidrométrico en España

2014

0210-086X 364 Cuadernos de geografía 396981 2014 95-96 5076879 Institucionalización del servicio hidrométrico en España Mateu BellésJoan F. 47 65:GEOGRAFÍA [UNESCO]UNESCO::GEOGRAFÍA
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De la botánica "inútil" a la ciencia aplicada. Simón de Rojas Clemente y Rubio

2015

0210-086X 364 Cuadernos de geografía 411482 2015 97 5284897 De la botánica "inútil" a la ciencia aplicada. Simón de Rojas Clemente y Rubio Piqueras Haba:GEOGRAFÍA [UNESCO]Juan 5 29UNESCO::GEOGRAFÍA
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