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Sensor Data Preparation for Model Input

Stochastic model for solar sensor array data

Stochastic model for solar sensor array data

... the data from real solar radiation, a physical sensor array was used for this ...[12]-[2].The sensor array used for this paper was designed to be the same physical size as 24 Kyocera KD135GX 125W ...

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Model-View Sensor Data Management in the Cloud

Model-View Sensor Data Management in the Cloud

... for model-view based sensor data ...dynamic sensor data generation ...for model-view sensor data in key-value ...raw sensor data, but also all other ...

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A reference architecture and model for sensor data warehousing

A reference architecture and model for sensor data warehousing

... combines data from different cubes to per- form an analysis on pollution ...particular sensor placed ...chosen sensor on a daily ...adopted data processing policy, noisy measurements could be ...

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A Linked-data Model for Semantic Sensor Streams

A Linked-data Model for Semantic Sensor Streams

... a data distribution mechanism for sen- sor ...large-scale sensor data emerging from the Internet of Things ...semantic sensor networks, semantic annotation and representation frameworks, there ...

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Mixed Stochastic Input Oriented Data Envelopment Analysis Model

Mixed Stochastic Input Oriented Data Envelopment Analysis Model

... deterministic model with non- identical random inputs, varying between either normal or Poisson distributions, is ...developed model gives flexibility in choosing the appropriate distribution for the ...

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Mixed Stochastic Input Oriented Data Envelopment Analysis Model

Mixed Stochastic Input Oriented Data Envelopment Analysis Model

... Abstract: Data envelopment analysis (DEA) is a mathematical tool used to evaluate relative efficiency of decision-making units ...efficiency, data related to a set of inputs and outputs are provided from ...

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Preparation of a Spatialised Emission Inventory as Input for Modelling

Preparation of a Spatialised Emission Inventory as Input for Modelling

... available data from the institutions officially charged and responsible of the emission inventory creation and maintenance, giving scientific support for improvement where ...

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Sistem Data Logger Lima Channel Input untuk Sensor Navigasi Kapal Maritim

Sistem Data Logger Lima Channel Input untuk Sensor Navigasi Kapal Maritim

... communication sensor format standard known as National Marine Electronics Association ...of sensor data, then combine them into a variable with a new arrangement of data formats as the output ...

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Ensemble Stream Model for Data-Cleaning in Sensor Networks

Ensemble Stream Model for Data-Cleaning in Sensor Networks

... Skewed Sensor Logs ...The sensor model needs to learn the expected ranges for the baseline attributes being measured, giving better density estimation with increasing samples ...the sensor ...

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Model-Based Data Collection in Wireless Sensor          Networks

Model-Based Data Collection in Wireless Sensor Networks

... the model may have been able to answer the query without acquiring any additional data from the ...real-world data sets, we see a number of cases where strong correlations between sensors during ...

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Preparation of Inorganic Nanoparticles for Sensor and Bioapplications

Preparation of Inorganic Nanoparticles for Sensor and Bioapplications

... between two phases, whether it is solid/ liquid, liquid/ liquid or liquid/ gas, is different in comparison to properties in the bulk phase. This can be explained by the phase boundary having different distribution of ...

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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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A Multi-layered Data Preparation Model for Health Information in Sudan

A Multi-layered Data Preparation Model for Health Information in Sudan

... Multi-layered Data Preparation Model for Health Information in Sudan Ahmed Mustafa Abd-Alrhman #1 , Love Ekenberg #2 Abstract— Data quality is a major challenge in almost every data ...

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Fuzzy regression model with fuzzy input and output data for manpower forecasting

Fuzzy regression model with fuzzy input and output data for manpower forecasting

... a data set is small, error terms have small variability, and the relationships among variables are not well speci ed, fuzzy linear regression outperforms nonparametric linear regression with respect to descrip- ...

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Appendix 1 - SWAT model input data and performance. A1.1 - Input Data - Spatial domain: Middle Mulde River Basin (1611 km²) - Weather data

Appendix 1 - SWAT model input data and performance. A1.1 - Input Data - Spatial domain: Middle Mulde River Basin (1611 km²) - Weather data

... Raw data: time series of measured daily precipitation, solar radiation, minimum and maximum temperature, wind speed, and relative humidity for DWD weather and precipitation stations in period 1980-2014 o Processed ...

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A model driven data gathering algorithm for Wireless Sensor Networks

A model driven data gathering algorithm for Wireless Sensor Networks

... redundant data sources, since the data collected by the sensors are from a common ...The data are transmitted to a sink from the sensor nodes, thus making the path of data transmission ...

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AN INTEGRATED DATA-LINK ENERGY MODEL FOR WIRELESS SENSOR NETWORKS

AN INTEGRATED DATA-LINK ENERGY MODEL FOR WIRELESS SENSOR NETWORKS

... not model the other components or layers that have impact on the component they ...traffic model in their simulations, but the interactions between those and the component they design are never ...

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DATA PREPARATION FOR DATA MINING

DATA PREPARATION FOR DATA MINING

... share data inside and outside the ...raw data, it is equally important to clean the mined association ...Web data mining and cleaning strategy for information gathering, which combines distributed ...

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A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction

A comparison of the discrete cosine and wavelet transforms for hydrologic model input data reduction

... hydrologic model parameter distributions as well as input ...sufficient data to obtain a unique ...sufficient data to estimate both hydrological model pa- rameters and rainfall ...

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A New Model-Free Predictive Control Method Using Input and Output Data

A New Model-Free Predictive Control Method Using Input and Output Data

... control input is directly predicted not to use the local model but online current measured data and stored ...current data are searched in the stored data and the predicted control ...

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