Search results for "Physical system"

showing 10 items of 113 documents

Stealthy Attacks in Cloud-Connected Linear Impulsive Systems

2018

This paper studies a security problem for a class cloud-connected multi-agent systems, where autonomous agents coordinate via a combination of short-range ad-hoc commu- nication links and long-range cloud services. We consider a simplified model for the dynamics of a cloud-connected multi- agent system and attacks, where the states evolve according to linear time-invariant impulsive dynamics, and attacks are modeled as exogenous inputs designed by an omniscent attacker that alters the continuous and impulsive updates. We propose a definition of attack detectability, characterize the existence of stealthy attacks as a function of the system parameters and attack properties, and design a fami…

0209 industrial biotechnologyClass (computer programming)Authenticationbusiness.industryComputer scienceDistributed computingData_MISCELLANEOUS020208 electrical & electronic engineeringAutonomous agentCyber-physical systemCloud computing02 engineering and technologyFunction (mathematics)Security robotics distributed control and estimation020901 industrial engineering & automationControl theoryComputer Science::Multimedia0202 electrical engineering electronic engineering information engineeringbusinessComputer Science::Cryptography and Security
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OMiLAB: A Smart Innovation Environment for Digital Engineers

2020

This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovator"). In the Internet of Things era, this profile implies the ability to perform both digital design and engineering activities, to semantically bridge multiple layers of abstraction and specificity - from business analysis down to cyber-physical engineering. In the paper's proposal, this integration is enabled by conceptual modelling methods and interoperable modelling tools, tailored to support the creation of Digital Twins for innovative…

0209 industrial biotechnologyComputer sciencebusiness.industryInteroperabilityDigital transformationCyber-physical system02 engineering and technologycyber-physical systemsBridge (nautical)Abstraction layeragile modelling method engineering020901 industrial engineering & automationdigital twin020204 information systemsSettore ING-IND/17 - Impianti Industriali MeccaniciBusiness analysis0202 electrical engineering electronic engineering information engineeringPosition paperOMiLAB; Digital Twin; Digital Engineer; Digital Innovator; Agile Modelling Method Engineering; Cyber-Physical Systemsomilabdigital innovatordigital engineerArchitectureSoftware engineeringbusiness
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Engineering insights from an anthropocentric cyber-physical system: A case study for an assembly station

2016

Abstract To effectively cope with the complexity of manufacturing control problems the cyber-physical systems are engineered to work in the social space. Therefore the research in the field of cyber-physical systems needs to address social aspects when this concept is adopted in factory automation. The paper argues for an anthropocentric cyber-physical reference model as the basic decomposition unit for the design of distributed manufacturing control systems. The model assimilates all the required components (i.e. physical, computational and human) of a synthetic hybrid system in an integrated way. This is due to the real need to design cyber-physical production systems where the technologi…

0209 industrial biotechnologyComputer sciencebusiness.industryMechanical EngineeringCyber-physical systemContext (language use)02 engineering and technologyAutomationComputer Science Applications020901 industrial engineering & automationControl and Systems EngineeringHybrid system0202 electrical engineering electronic engineering information engineeringSystems engineeringDecomposition (computer science)020201 artificial intelligence & image processingAugmented realityElectrical and Electronic EngineeringbusinessReference modelDistributed manufacturingMechatronics
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Enhancing tracking performance in a smartphone-based navigation system for visually impaired people

2016

In this paper we show how to enhance the tracking performance of Arianna, a low-cost augmented reality system designed to meet the needs of people with problems of orientation, people with sight impairment and blind people. For augmented reality system we mean the design of: i) a set of paths and tags to be deployed in the environment, realized in various ways depending on the context (decorative elements easily identifiable, colorful stripes, QR code, RFID, etc.); ii) an instrument of mediation between the reality and the user (typically a smartphone) to access the information disseminated in the environment by means of a camera and provide a vibration feedback signal to the users for foll…

0209 industrial biotechnologyEngineeringControl and OptimizationOptical flowContext (language use)02 engineering and technologycyber-physical systemscyber-physical systemoptical flow020901 industrial engineering & automationassistive technology0202 electrical engineering electronic engineering information engineeringComputer visionSet (psychology)Settore ING-INF/03 - Telecomunicazionibusiness.industryOrientation (computer vision)Cyber-physical systemNavigation systemfilteringSightassistive technology; cyber-physical systems; filtering; navigation system; optical flow; vibration; Control and Systems Engineering; Control and Optimization; Modeling and SimulationAssistive technologyControl and Systems EngineeringModeling and Simulationnavigation system020201 artificial intelligence & image processingAugmented realityArtificial intelligencevibrationbusiness2016 24th Mediterranean Conference on Control and Automation (MED)
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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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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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Development Overview of a Smart Customizable Product

2018

Abstract This paper presents the development phases of a smart product that can be manufactured on a cyber physical production system. The intelligent product’s requirements are defined from the manufacturing perspective and then converted into technical product characteristics. Finally, we refined the technical characteristics to create a functional tablet with customizable hardware functionalities as a customizable product.

0209 industrial biotechnologybusiness.industryComputer science020208 electrical & electronic engineeringCyber-physical system02 engineering and technologyGeneral MedicineAutomation020901 industrial engineering & automationDevelopment (topology)0202 electrical engineering electronic engineering information engineeringSystems engineeringProduct (category theory)businessACTA Universitatis Cibiniensis
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Exploring Virtual Reality as an Integrated Development Environment for Cyber-Physical Systems

2019

Cyber Physical Systems (CPS) development approaches tend to start from the physical (hardware) perspective, and the software is the final element in the process. However, this approach is unfit for the more software-intensive world that is increasingly iterative, connected, and constantly online. Many constraints prevent the application of iterative, incremental, and agile development methodologies, which now are the norm for many other fields of software. Time-consuming system validation can only start when both hardware and software components are ready, which implies that the software delivery and quality is almost always the final bottleneck in the CPS development and integration. Also …

0209 industrial biotechnologybusiness.industryComputer scienceProcess (engineering)Integrated softwareeducationCyber-physical system020207 software engineering02 engineering and technologyVirtualizationcomputer.software_genre113 Computer and information sciencesBottleneck020901 industrial engineering & automationSoftwareComponent-based software engineering0202 electrical engineering electronic engineering information engineeringbusinessSoftware engineeringcomputerAgile software development
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Linoleic acid: Is this the key that unlocks the quantum brain? Insights linking broken symmetries in molecular biology, mood disorders and personalis…

2017

Abstract In this paper we present a mechanistic model that integrates subneuronal structures, namely ion channels, membrane fatty acids, lipid rafts, G proteins and the cytoskeleton in a dynamic system that is finely tuned in a healthy brain. We also argue that subtle changes in the composition of the membrane’s fatty acids may lead to down-stream effects causing dysregulation of the membrane, cytoskeleton and their interface. Such exquisite sensitivity to minor changes is known to occur in physical systems undergoing phase transitions, the simplest and most studied of them is the so-called Ising model, which exhibits a phase transition at a finite temperature between an ordered and disorde…

0301 basic medicinePhase transitionLinoleic acidMood DisorderModels NeurologicalPhysical systemAntidepressantContext (language use)MicrotubuleReviewlcsh:RC321-57103 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineAntidepressants; Cytoskeleton; Depression; Ion channels; Ising model; Linoleic acid; Lipid raft; Microtubule; Mood disorders; Quantum states; Linoleic Acid; Mood Disorders; Brain; Models Neurological; Neuroscience (all); Cellular and Molecular NeuroscienceIsing modelCytoskeletonlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryLipid raftQuantumIon channelCytoskeletonNeuroscience (all)ChemistryDepressionGeneral Neurosciencelcsh:QP351-495BrainQuantum statesMood disorders Linoleic acid Ion channels Cytoskeleton Microtubule Lipid raft Depression Antidepressants Ising model Quantum statesAntidepressantsQuantum stateLipid raftlcsh:Neurophysiology and neuropsychology030104 developmental biologyIon channelsMood disordersIsing modelIon channelNeuroscience030217 neurology & neurosurgery
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A qualitative model of the HIV vital cycle

1992

Qualitative modelling is a recent artificial intelligence approach to physical system modelling. This approach has been successfully applied in several fields. On the basis of an analysis and qualitative modelling of cell growth, we reckon that a qualitative model of the vital cycle of HIV can be proposed, including the phases in which HIV can be attacked. The actions of antiviral drugs can also be qualitatively modelled, provided their action mechanism is known, even only in a broad sense.

Action (philosophy)Management scienceMechanism (biology)fungiImmunologyHuman immunodeficiency virus (HIV)medicinePhysical systemfood and beveragesBiologymedicine.disease_causeCellular biophysics
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