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List of input parameters for sensor model

HANA Input Parameters with Multi-Values to Filter Calculation Views

HANA Input Parameters with Multi-Values to Filter Calculation Views

... an input parameter but unfortunately input parameters only accept single ...attribute list of values, potentially manually enter values and also do a search on the ...the list of ...

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Comparative Analysis of Variations of Ant Miner by Varying Input Parameters

Comparative Analysis of Variations of Ant Miner by Varying Input Parameters

... CN2 [4],[7] a well-known data mining algorithm for classification. It searches for a rule list in an incremental fashion. It discovers one rule at a time. Both Ant-Miner and CN2 construct a rule by starting with ...

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Variational Identification of Input Parameters in the Model of Distribution of the Pollutants from the Underwater Source

Variational Identification of Input Parameters in the Model of Distribution of the Pollutants from the Underwater Source

... -coordinate model of water circulation. Realization of the pollution transfer model included application of the TVD-type monotone ...The input parameters of the problem were identified by ...

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Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia

Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia

... slab model of cardiac ventricular tissue, with a central ischaemic region, using the bidomain model, which considers con- duction longitudinal, transverse and normal to the cardiac ...the input ...

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Multiple Sink Model Which Support Different Parameters in Wireless Sensor Field

Multiple Sink Model Which Support Different Parameters in Wireless Sensor Field

... Wireless sensor network is very essential in today’s ...sink model which supports users in sensor ...some parameters it is easy to evaluate sink ...this model is to be done based on ...

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Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor

Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor

... Abstract Intelligent algorithms are recently used in the optimization process in chemical engineering and application of multiphase flows such as bubbling flow. This overview of modeling can be a great replacement with ...

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The definition of input parameters for modelling of energetic subsystems

The definition of input parameters for modelling of energetic subsystems

... dynamic model of the low-temperature fuel cell subsys- tem, and the main input parameters are defined as ...suggested parameters and for all the individual subsystems mentioned above are ...

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Impact of FIFRELIN input parameters on fission observables

Impact of FIFRELIN input parameters on fission observables

... (Wahl’s model [4] for Z) or from more simple distribution (J, ...free parameters σ L and σ H , which correspond to the mean angular momentum for light and heavy fission fragment region respectively, are ...

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Probabilistic analysis of a coal mine roadway including correlation control between model input parameters

Probabilistic analysis of a coal mine roadway including correlation control between model input parameters

... the model and mesh refinement were very important, as at the model development stage it was not known whether hundreds or even thousands of numerical simulations would have to be run in order to obtain good ...

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Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty

Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty

... the model and the experimental data may still be present if the data is not contaminated by noise, we also incorporate the possible error of the model ...describe model uncertainty in this ...

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Towards a Model Based Sensor Measurement Variance Input for Extended Kalman Filter State Estimation

Towards a Model Based Sensor Measurement Variance Input for Extended Kalman Filter State Estimation

... kept constant and at the values used in the first study conducted prior to this work [ 11 ]. 3.4. Characterisation of UWB Range Variance The main purpose of the use of the RTS is the ability to characterise the range ...

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The TESS Input Catalog and Candidate Target List

The TESS Input Catalog and Candidate Target List

... target list for TESS can be drawn, based on in-flight observation constraints yet to be ...This list of high- priority candidate two-minute cadence targets is the ...a list of dwarf stars all over the ...

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G3TA. Model Number Structure. Ordering Information. Solid State Relays. Model Number Legend. List of Models. Input Modules

G3TA. Model Number Structure. Ordering Information. Solid State Relays. Model Number Legend. List of Models. Input Modules

... Omron’s sole obligation hereunder shall be, at Omron’s election, to (i) replace (in the form originally shipped with Buyer responsible for labor charges for remov[r] ...

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1.1 Lack of transparency and rationale for assumptions and input parameters

1.1 Lack of transparency and rationale for assumptions and input parameters

... BRAM model should have been updated based on the most appropriate evidence including that provided by the ...BRAM model’. This updated BRAM model still relies on the same treatment pathway that was ...

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DC Parameters: Input Offset Voltage (V IO )

DC Parameters: Input Offset Voltage (V IO )

... dc parameters and ac parameters. The dc parameters represent internal errors that occur as a result of mismatches between devices and components inside the op ...any input signal is applied), ...

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Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation

Multi-sensor cloud retrieval simulator and remote sensing from model parameters – Part 1: Synthetic sensor radiance formulation

... For the Gaussian copula we use a correlation matrix with a fixed vertical decorrelation scale of 100 hPa, further modi- fied by a multiplicative Riishojgaard (1998) flow-dependent correlation in total water that permits ...

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Input-Adaptive Proxy for Black Carbon as a Virtual Sensor

Input-Adaptive Proxy for Black Carbon as a Virtual Sensor

... three input variables are traffic counts, NO x and accumulation ...the model selection in all classes, classification may not be needed in Mäkelänkatu to maintain its ...

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Determination of input parameters of the neural network model, intended for phoneme recognition of a voice signal in the systems of distance learning

Determination of input parameters of the neural network model, intended for phoneme recognition of a voice signal in the systems of distance learning

... network model, intended for recognition of phonemes in the system of distance learning, are connected with the uncertain duration of a phoneme-like ...network model on the basis of a multilayered ...

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Improving QoS parameters in wireless 
		sensor network

Improving QoS parameters in wireless sensor network

... Implement the IH-MAC protocol for achieving the energy and delay parameters in sensor networks. Authors implement IH-MAC using Link and Broadcast scheduling concept with parallel transmission. But in this ...

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On the Bayesian calibration of expensive computer models with input dependent parameters.

On the Bayesian calibration of expensive computer models with input dependent parameters.

... the input dependent Bayesian model calibration (IDBC) procedure, a fully Bayesian methodology that flexibly models input dependent optimal values for calibration parameters, and performs ...

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