Search results for "emulator"

showing 10 items of 16 documents

Physics-Aware Gaussian Processes for Earth Observation

2017

Earth observation from satellite sensory data pose challenging problems, where machine learning is currently a key player. In recent years, Gaussian Process (GP) regression and other kernel methods have excelled in biophysical parameter estimation tasks from space. GP regression is based on solid Bayesian statistics, and generally yield efficient and accurate parameter estimates. However, GPs are typically used for inverse modeling based on concurrent observations and in situ measurements only. Very often a forward model encoding the well-understood physical relations is available though. In this work, we review three GP models that respect and learn the physics of the underlying processes …

MatemáticasEstimation theory0211 other engineering and technologiesContext (language use)02 engineering and technologyMissing dataBayesian statisticssymbols.namesakeKernel method0202 electrical engineering electronic engineering information engineeringsymbolsGeología020201 artificial intelligence & image processingGaussian process emulatorGaussian processAlgorithm021101 geological & geomatics engineeringInterpolation
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Automatic emulator and optimized look-up table generation for radiative transfer models

2017

This paper introduces an automatic methodology to construct emulators for costly radiative transfer models (RTMs). The proposed method is sequential and adaptive, and it is based on the notion of the acquisition function by which instead of optimizing the unknown RTM underlying function we propose to achieve accurate approximations. The Automatic Gaussian Process Emulator (AGAPE) methodology combines the interpolation capabilities of Gaussian processes (GPs) with the accurate design of an acquisition function that favors sampling in low density regions and flatness of the interpolation function. We illustrate the good capabilities of the method in toy examples and for the construction of an…

010504 meteorology & atmospheric sciencesComputer scienceFlatness (systems theory)0211 other engineering and technologiesAtmospheric correctionSampling (statistics)02 engineering and technologyFunction (mathematics)Atmospheric model01 natural sciencessymbols.namesakeKernel (statistics)Lookup tableRadiative transfersymbolsGaussian process emulatorGaussian processAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesInterpolation2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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AI for Resource Allocation and Resource Allocation for AI: a two-fold paradigm at the network edge

2022

5G-and-beyond and Internet of Things (IoT) technologies are pushing a shift from the classic cloud-centric view of the network to a new edge-centric vision. In such a perspective, the computation, communication and storage resources are moved closer to the user, to the benefit of network responsiveness/latency, and of an improved context-awareness, that is, the ability to tailor the network services to the live user's experience. However, these improvements do not come for free: edge networks are highly constrained, and do not match the resource abundance of their cloud counterparts. In such a perspective, the proper management of the few available resources is of crucial importance to impr…

Internet Of ThingMINLPIoTEdge NetworkPerformance EvaluationLow Power Wide Area NetworkSystem ModelingSettore ING-INF/03 - TelecomunicazioniUAVSoftware Defined RadioReal TestbedVehicular NetworkMLLoRaReinforcement LearningResource AllocationMachine LearningGame TheoryArtificial IntelligenceAILPWANColosseum Channel EmulatorChannel EmulationEmulationSDR
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Pusautomātiskā testēšana ar mobilo ierīču emulatoriem un monitoru sienu

2019

Ir nepieciešama kvalitatīva testēšana, lai gūtu pārliecību par izstrādāto sistēmu. Sistēmas testus ir iespējams veikt gan manuāli, gan automatizēti, un ir izveidoti populāri paņēmieni un formulas, kā noteikt, vai konkrētos sistēmas testus labāk veikt vienā vai citā veidā. Piemēram, balstoties uz testēšanas izmaksām vai priekšrocībām. Tomēr katrs no šiem testēšanas veidiem ir ļoti ierobežots. Testējot manuāli, regresā testēšana ar laiku kļūst pārāk laikietilpīga, un, testējot automatizēti, sarežģīti ir identificēt vizuālos defektus. Tika izveidots un pētīts pusautomātiskās testēšanas ietvars, ar kura palīdzību būtu iespējams apvienot manuālās un automatizētās testēšanas labākos aspektus, tād…

monitoru sienaDatorzinātnepusautomātiskā testēšanamanuālā testēšanaemulatoriautomatizētā testēšana
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FPGA implementation of a fuel cell emulator

2010

Fuel cell based systems are usually tested with the aid of high-cost and complex auxiliary devices. A fuel cell emulator is an attractive solution for preliminary downward system test. The emulator replaces the effective power source saving cost, volume and hydrogen reserve still ensuring high-accuracy of test results. The use of a highperformance fuel cell model is essential for a successful conclusion of the overall design process. Although the proposed emulator is suitable for each fuel cell type and power level, a 10W Proton Exchange Membrane Fuel Cell emulator is designed and tested. An FPGA based controller models the fuel cell steady-state and dynamic behaviour, including temperature…

Engineeringbusiness.industryInterface (computing)fuel cell emulator FPGASystem testingProton exchange membrane fuel cellProcess designSettore ING-INF/01 - ElettronicaModeling and simulationControl theorybusinessField-programmable gate arrayMATLABcomputerSimulationcomputer.programming_language
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A fuel cell model emulator, including temperature effects

2010

fuel cell emulator modelingSettore ING-INF/01 - Elettronica
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Research on the model emulator and experiment checkout of the fuel cell

2011

fuel cell emulator fpgaSettore ING-INF/01 - Elettronica
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Multioutput Automatic Emulator for Radiative Transfer Models

2018

This paper introduces a methodology to construct emulators of costly radiative transfer models (RTMs). The proposed methodology is sequential and adaptive, and it is based on the notion of acquisition functions in Bayesian optimization. Here, instead of optimizing the unknown underlying RTM function, one aims to achieve accurate approximations. The Automatic Multi-Output Gaussian Process Emulator (AMO-GAPE) methodology combines the interpolation capabilities of Gaussian processes (GPs) with the accurate design of an acquisition function that favors sampling in low density regions and flatness of the interpolation function. We illustrate the promising capabilities of the method for the const…

010504 meteorology & atmospheric sciencesComputer scienceFlatness (systems theory)Bayesian optimizationSampling (statistics)02 engineering and technologyFunction (mathematics)Atmospheric model01 natural sciencessymbols.namesakeSampling (signal processing)0202 electrical engineering electronic engineering information engineeringsymbolsRadiative transfer020201 artificial intelligence & image processingGaussian process emulatorGaussian processAlgorithm0105 earth and related environmental sciencesInterpolationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

2015

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. Emulators are advantageous in real practice because…

multi-outputComputer scienceradiative transfer modelsScienceExtrapolationemulatorMachine learningcomputer.software_genreemulator; machine learning; radiative transfer models; multi-output; ARTMO; GUI toolbox; FLEX; fluorescenceAtmosphereARTMOPartial least squares regressionRadiative transferMATLABcomputer.programming_languageArtificial neural networkbusiness.industryQStatistical modelVegetationToolboxFLEXmachine learningPrincipal component analysisGeneral Earth and Planetary SciencesfluorescenceArtificial intelligencebusinessAlgorithmcomputerGUI toolboxRemote Sensing
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Improving MLC flash performance and endurance with extended P/E cycles

2015

The traditional usage pattern for NAND flash memory is the program/erase (P/E) cycle: the flash pages that make a flash block are all programmed in order and then the whole flash block needs to be erased before the pages can be programmed again. The erase operations are slow, wear out the medium, and require costly garbage collection procedures. Reducing their number is therefore beneficial both in terms of performance and endurance. The physical structure of flash cells limits the number of opportunities to overcome the 1 to 1 ratio between programming and erasing pages: a bit storing a logical 0 cannot be reprogrammed to a logical 1 before the end of the P/E cycle. This paper presents a t…

Hardware_MEMORYSTRUCTURESFlash memory emulatorMulti-level cellComputer scienceNand flash memorybusiness.industryLogic gateNAND gateLatency (engineering)businessComputer hardwareFlash file systemGarbage collection2015 31st Symposium on Mass Storage Systems and Technologies (MSST)
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