Search results for "soft"

showing 10 items of 9809 documents

Tolerating malicious monitors in detecting misbehaving robots

2008

This paper considers a multi–agent system and focuses on the detection of motion misbehavior. Previous work by the authors proposed a solution, where agents act as local monitors of their neighbors and use locally sensed information as well as data received from other monitors. In this work, we consider possible failure of monitors that may send incorrect information to their neighbors due to spontaneous or even malicious malfunctioning. In this context, we propose a distributed software architecture that is able to tolerate such failures. Effectiveness of the proposed solution is shown through preliminary simulation results.

0209 industrial biotechnologybusiness.industryComputer scienceDistributed computing020206 networking & telecommunicationsContext (language use)security02 engineering and technologyMotion (physics)consensus algorithm020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaWork (electrical)Embedded system0202 electrical engineering electronic engineering information engineeringRobotDistributed software architectureIntrusion detectionmulti-agent systemsSoftware architecturebusiness
researchProduct

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
researchProduct

An insight into the electrical energy demand of friction stir welding processes: the role of process parameters, material and machine tool architectu…

2018

The manufacturing sector accounts for a high share of global electrical energy consumption and CO 2 emissions, and therefore, the environmental impact of production processes is being more and more investigated. An analysis of power and energy consumption in friction stir welding processes can contribute to the characterization of the process from a new point of view and also provide useful information about the environmental impact of the process. An in-depth analysis of electrical energy demand of friction stir welding is here proposed. Different machine tool architectures, including an industrial dedicated machine, have been used to weld aluminum and steel sheets under different process …

0209 industrial biotechnologybusiness.product_categoryFriction stir weldingComputer scienceSustainable manufacturing02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationlawFriction stir weldingProcess engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industryElectric potential energyMechanical EngineeringProcess (computing)Computer Science Applications1707 Computer Vision and Pattern RecognitionEnergy consumptionComputer Science ApplicationsMachine toolPower (physics)Energy efficiencyControl and Systems EngineeringbusinessPower studySoftwareEfficient energy use
researchProduct

Modeling Energy Demand Aggregators for Residential Consumers

2013

International audience; Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can pay the energy demand aggregator to reduce the load by turning off some of its consumers loads or postponing their activation. Currently this operation involves only greedy energy consumers like industrial plants. In this paper we want to study the potential of aggregating a large number of small energy consumers like home users as it may happen in smart grids. In particular we want to address the feasibility of such approach by conside…

0209 industrial biotechnologydemand-response paradigm020209 energyEnergy current02 engineering and technologycomputer.software_genre7. Clean energyNews aggregatorload regulation[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automationdemand side management; load regulation; queueing theory; smart power grids; demand-response paradigm; energy consumers; energy demand aggregator modeling; greedy energy consumers; home users; industrial plants; power load control; queuing theory; residential consumers; smart grids; Delays; Home appliances; Load modeling; Power demand; Sociology; Statistics; Switchesresidential consumerSociologySettore ING-INF/04 - Automatica0202 electrical engineering electronic engineering information engineeringindustrial plantenergy demand aggregator modelingDemand loadSimulationStatisticQueueing theoryDelayLoad modelingdemand side managementSettore ING-INF/03 - Telecomunicazionigreedy energy consumerpower load controlLoad balancing (electrical power)Poisson processEnvironmental economicsGridenergy consumerHome applianceSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridQueueing theorymart gridLoad regulationqueuing theoryPower demandEnergy demand aggregatorsmart power gridcomputerSwitcheshome user
researchProduct

Design and Calibration of a Specialized Polydioptric Camera Rig

2017

International audience; It has been observed in the nature that all creatures have evolved highly exclusive sensory organs depending on their habitat and the form of resources availability for their survival. In this project, a novel omnidirectional camera rig, inspired from natural vision sensors, is proposed. It is exclusively designed to operate for highly specified tasks in the field of mobile robotics. Navigation problems on uneven terrains and detection of the moving objects while the robot is itself in motion are the core problems that omnidirectional systems tackle. The proposed omnidirectional system is a compact and a rigid vision system with dioptric cameras that provide a 360° f…

0209 industrial biotechnologydepthComputer Networks and CommunicationsMachine visionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONstereo-vision02 engineering and technologylcsh:QA75.5-76.95020901 industrial engineering & automationOmnidirectional cameraArtificial Intelligence[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringStructure from motionComputer visionSmart cameraComputingMethodologies_COMPUTERGRAPHICSpolydioptricstructure from motionbusiness.industryRGB-DRoboticscalibrationomnidirectionalStereopsisHardware and ArchitectureICT[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicRobot020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceArtificial intelligence[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicbusinessSoftwareStereo cameraInformation Systems
researchProduct

Types of Mimetics for the Design of Intelligent Technologies

2019

Mimetic design means using a source in the natural or artificial worlds as an inspiration for technological solutions. It is based around the abstraction of the relevant operating principles in a source domain. This means that one must be able to identify the correct level of analysis and extract the relevant patterns. How this should be done is based on the type of source. From a mimetic perspective, if the design goal is intelligent technology, an obvious source of inspiration is human information processing, which we have called cognitive mimetics. This article offers some conceptual clarification on the nature of cognitive mimetics by contrasting it with biomimetics in the context of in…

0209 industrial biotechnologydesign mimeticsComputer scienceContext (language use)02 engineering and technologyOntology (information science)tekoälyDomain (software engineering)intelligent technology020901 industrial engineering & automationHuman–computer interactionDesign mimeticsdesign methods0202 electrical engineering electronic engineering information engineeringDesign methodsAbstraction (linguistics)Intelligent technologyInformation processingCognitionDesign methodssuunnitteluAImimesisälytekniikka020201 artificial intelligence & image processingBiomimetics
researchProduct

Input Selection Methods for Soft Sensor Design: A Survey

2020

Soft Sensors (SSs) are inferential models used in many industrial fields. They allow for real-time estimation of hard-to-measure variables as a function of available data obtained from online sensors. SSs are generally built using industries historical databases through data-driven approaches. A critical issue in SS design concerns the selection of input variables, among those available in a candidate dataset. In the case of industrial processes, candidate inputs can reach great numbers, making the design computationally demanding and leading to poorly performing models. An input selection procedure is then necessary. Most used input selection approaches for SS design are addressed in this …

0209 industrial biotechnologylcsh:T58.5-58.64lcsh:Information technologyComputer Networks and CommunicationsComputer scienceFeature selectionprediction02 engineering and technologyFunction (mathematics)input selectionSoft sensorcomputer.software_genresoft sensor; inferential model; input selection; feature selection; regression; predictionfeature selection020901 industrial engineering & automationinferential model0202 electrical engineering electronic engineering information engineeringsoft sensorregression020201 artificial intelligence & image processingData miningInput selectioncomputerSelection (genetic algorithm)Future Internet
researchProduct

DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization

2021

Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the underlying trade-offs among the conflicting objective functions in the problem and adjust preferences during the solution process. Incorporating preference information allows computing only solutions that are interesting to the decision maker, decreasing computation time significantly. Thus, interactive methods have many strengths making them viable for various applications. However, there is a lack of existing software frameworks to apply and experiment with interactive …

0209 industrial biotechnologylineaarinen optimointiPareto optimizationGeneral Computer Sciencemulti-criteria decision makingComputer sciencepäätöksentekoevoluutiolaskenta02 engineering and technologyData-driven multiobjective optimizationcomputer.software_genrenonlinear optimizationMulti-objective optimizationData modelingopen source softwareavoin lähdekoodi020901 industrial engineering & automationSoftwareoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceUse casecomputer.programming_languageGraphical user interfacepareto-tehokkuusbusiness.industryGeneral Engineeringinteractive methodsModular designPython (programming language)monitavoiteoptimointiTK1-9971Software frameworkdata-driven multiobjective optimizationevolutionary computation020201 artificial intelligence & image processingElectrical engineering. Electronics. Nuclear engineeringbusinessSoftware engineeringcomputerIEEE Access
researchProduct

P-FCM: a proximity-based fuzzy clustering for user-centered web applications

2003

Abstract In last years, the Internet and the web have been evolved in an astonishing way. Standard web search services play an important role as useful tools for the Internet community even though they suffer from a certain difficulty. The web continues its growth, making the reliability of Internet-based information and retrieval systems more complex. Nevertheless there has been a substantial analysis of the gap between the expected information and the returned information, the work of web search engine is still very hard. There are different problems concerning web searching activity, one among these falls in the query phase. Each engine provide an interface which the user is forced to le…

0209 industrial biotechnologymedicine.medical_specialtyComputer science02 engineering and technologyWeb engineeringcomputer.software_genreSimilarityTheoretical Computer ScienceWorld Wide Web020901 industrial engineering & automationArtificial IntelligenceWeb query classificationWeb design0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationWeb search queryInformation retrievalHuman–computer interactionApplied MathematicsFuzzy logicSearch enginesWeb search engine020201 artificial intelligence & image processingWeb servicecomputerWeb modelingSoftwareFuzzy C-mean algorithmInternational Journal of Approximate Reasoning
researchProduct

Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
researchProduct