Search results for "Integrated"

showing 10 items of 1783 documents

A user-friendly control system to easy reconfigure a manufacturing cell

2006

Generic manufacturing enterprises need to interact with an environment characterized by a strong competition. In order to react to the mutable requests of market, control systems should confer to the manufacturing system capabilities for easy modifiability, and this can be achieved by reducing the necessary time to reconfigure the existing system. Following this main requirement, this paper presents a user-friendly control system that pursues three operational goals: - Ability to easy re-program the sequence of operations of the manufacturing equipments of a manufacturing cell; - Reconfigurability of the system, by allowing to add/remove a new/existing component in/from the manufacturing ce…

Eye movements Occupational diseases Elliptical CurveEngineeringVisual Basicbusiness.industryInterface (computing)Cellular manufacturingReconfigurabilityComputer-integrated manufacturingEmbedded systemProduction controlUser interfacebusinesscomputercomputer.programming_languageManufacturing execution system2006 IEEE International Conference on Industrial Technology
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"Table 3" of "First measurement of the quark to photon fragmentation function"

1995

2-jet events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGAstrophysics::High Energy Astrophysical PhenomenaIntegrated Cross SectionE+ E- --> GAMMA QUARK QUARKBARJet ProductionCross SectionE+ E- --> (HADRONS) 2HADRONDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::Experiment90.912E+ E- --> 2JET
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"Table 4" of "First measurement of the quark to photon fragmentation function"

1995

2-jet events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGAstrophysics::High Energy Astrophysical PhenomenaIntegrated Cross SectionE+ E- --> GAMMA QUARK QUARKBARJet ProductionCross SectionE+ E- --> (HADRONS) 2HADRONDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::Experiment90.912E+ E- --> 2JET
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"Table 1" of "First measurement of the quark to photon fragmentation function"

1995

2-jet events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGAstrophysics::High Energy Astrophysical PhenomenaIntegrated Cross SectionE+ E- --> GAMMA QUARK QUARKBARJet ProductionCross SectionE+ E- --> (HADRONS) 2HADRONDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::Experiment90.912E+ E- --> 2JET
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"Table 2" of "First measurement of the quark to photon fragmentation function"

1995

2-jet events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGAstrophysics::High Energy Astrophysical PhenomenaIntegrated Cross SectionE+ E- --> GAMMA QUARK QUARKBARJet ProductionCross SectionE+ E- --> (HADRONS) 2HADRONDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::Experiment90.912E+ E- --> 2JET
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"Table 5" of "First measurement of the quark to photon fragmentation function"

1995

3-JET events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGE+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentE+ E- --> GAMMA QUARK QUARKBAR90.912Jet ProductionCross SectionE+ E- --> (HADRONS) 2HADRON
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"Table 6" of "First measurement of the quark to photon fragmentation function"

1995

3-JET events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGE+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentE+ E- --> GAMMA QUARK QUARKBAR90.912Jet ProductionCross SectionE+ E- --> (HADRONS) 2HADRON
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"Table 7" of "First measurement of the quark to photon fragmentation function"

1995

3-JET events. Variable Z has been defined as E(gamma)/(E(gamma)+E(had)), where E(gamma) is the energy of the hard photon in 'photon-jet', E(had) is the energy of the rest hadrons in jet. Ycut is jet resolution parameter (see paper).

FDSIG/SIGE+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentE+ E- --> GAMMA QUARK QUARKBAR90.912Jet ProductionCross SectionE+ E- --> (HADRONS) 2HADRON
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Sparsity-Driven Digital Terrain Model Extraction

2020

We here introduce an automatic Digital Terrain Model (DTM) extraction method. The proposed sparsity-driven DTM extractor (SD-DTM) takes a high-resolution Digital Surface Model (DSM) as an input and constructs a high-resolution DTM using the variational framework. To obtain an accurate DTM, an iterative approach is proposed for the minimization of the target variational cost function. Accuracy of the SD-DTM is shown in a real-world DSM data set. We show the efficiency and effectiveness of the approach both visually and quantitatively via residual plots in illustrative terrain types.

FOS: Computer and information sciencesHardware_MEMORYSTRUCTURES010504 meteorology & atmospheric sciencesIterative methodComputer scienceComputer Vision and Pattern Recognition (cs.CV)0211 other engineering and technologiesComputer Science - Computer Vision and Pattern RecognitionTerrain02 engineering and technologyFunction (mathematics)Hardware_PERFORMANCEANDRELIABILITYComputerSystemsOrganization_PROCESSORARCHITECTURES01 natural sciencesData setHardware_INTEGRATEDCIRCUITSExtraction (military)Digital elevation modelAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciences
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Metastable memristive lines for signal transmission and information processing applications

2016

Traditional studies of memristive devices have mainly focused on their applications in nonvolatile information storage and information processing. Here, we demonstrate that the third fundamental component of information technologies-the transfer of information-can also be employed with memristive devices. For this purpose, we introduce a metastable memristive circuit. Combining metastable memristive circuits into a line, one obtains an architecture capable of transferring a signal edge from one space location to another. We emphasize that the suggested metastable memristive lines employ only resistive circuit components. Moreover, their networks (for example, Y-connected lines) have an info…

FOS: Computer and information sciencesResistive touchscreenTheoretical computer scienceCondensed Matter - Mesoscale and Nanoscale PhysicsComputer scienceInformation storageInformation processingComputer Science - Emerging TechnologiesFOS: Physical sciencesHardware_PERFORMANCEANDRELIABILITY02 engineering and technologySignal edge021001 nanoscience & nanotechnology01 natural sciencesLine (electrical engineering)Emerging Technologies (cs.ET)MetastabilityComponent (UML)Mesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesHardware_INTEGRATEDCIRCUITSElectronic engineering010306 general physics0210 nano-technologyElectronic circuitPhysical Review E
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