Updated Trial of Meteorological Station Using PV Reference Cell Array

This research used CFSRv2 data as output data general circulation model. CFSRv2 involves some variables data with high correlation, so in this research is using principal component regression (PCR) and partial least square (PLS) to solve the multicollinearity occurring in CFSRv2 data. This research aims to determine the best model between PCR and PLS to estimate rainfall at Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station by comparing RMSEP value and correlation value. Size used was 3×3, 4×4, 5×5, 6×6, 7×7, 8×8, 9×9, and 11×11 that was located between (-40) N - (-90) S and 1050 E -1100 E with a grid size of 0.5×0.5 The PLS model was the best model used in stastistical downscaling in this research than PCR model because of the PLS model obtained the lower RMSEP value and the higher correlation value. The best domain and RMSEP value for Bandung geophysical station, Bogor climatology station, Citeko meteorological station, and Jatiwangi meteorological station is 9 × 9 with 100.06, 6 × 6 with 194.3, 8 × 8 with 117.6, and 6 × 6 with 108.2, respectively.

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Climate change impacts on hydrological processes in Norway based on two methods for transferring regional climate model results to meteorological station sites

Tellus A Dynamic Meteorology and Oceanography ◽

10.3402/tellusa.v60i3.15307 ◽

2008 ◽

Author(s):

Stein Beldring ◽

Torill Engen-Skaugen ◽

Eirik J. FÃ¸rland ◽

Lars A. Roald

Keyword(s):

Climate Change ◽

Regional Climate Model ◽

Climate Model ◽

Regional Climate ◽

Climate Change Impacts ◽

Meteorological Station ◽

Hydrological Processes

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Faculty Opinions recommendation of Two-color cell array screen reveals interdependent roles for histone chaperones and a chromatin boundary regulator in histone gene repression.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.4353956.4178054 ◽

2010 ◽

Author(s):

Alain Verreault ◽

Valerie Villeneuve

Keyword(s):

Histone Gene ◽

Gene Repression ◽

Histone Chaperones ◽

Cell Array ◽

Chromatin Boundary

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Modeling and experimental verification on directivity of an electret cell array loudspeaker

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x12451192 ◽

2012 ◽

Vol 24 (3) ◽

pp. 326-333 ◽

Cited By ~ 3

Author(s):

Yu-Chi Chen ◽

Wen-Ching Ko ◽

Han-Lung Chen ◽

Hsu-Ching Liao ◽

Wen-Jong Wu ◽

...

Keyword(s):

Finite Element Analysis ◽

Finite Element ◽

Three Dimensional ◽

Digital Control System ◽

Analysis Model ◽

Cell Array ◽

Element Analysis ◽

Finite Element Analysis Model ◽

The Finite Element Analysis ◽

Directivity Characteristics

We propose a model to give us a method to investigate the characteristic three-dimensional directivity in an arbitrarily configured flexible electret-based loudspeaker. In recent years, novel electret loudspeakers have attracted much interest due to their being lightweight, paper thin, and possessing excellent mid- to high-frequency responses. Increasing or decreasing the directivity of an electret loudspeaker makes it excellent for adoption to many applications, especially for directing sound to a particular area or specific audio location. Herein, we detail a novel electret loudspeaker that possesses various directivities and is based on various structures of spacers instead of having to use multichannel amplifiers and a complicated digital control system. In order to study the directivity of an electret loudspeaker based on an array structure which can be adopted for various applications, the horizontal and vertical polar directivity characteristics as a function of frequency were simulated by a finite-element analysis model. To validate the finite-element analysis model, the beam pattern of the electret loudspeaker was measured in an anechoic room. Both the simulated and experimental results are detailed in this article to validate the various assertions related to the directivity of electret cell-based smart speakers.

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Single-Layered Frequency Selective Surface for Polarization Processing by Transmission Through Elementary Simple Structure Unit Cell Array

IEEE Access ◽

10.1109/access.2021.3060155 ◽

2021 ◽

Vol 9 ◽

pp. 30615-30625

Author(s):

Andrei-Marius Silaghi ◽

Aldo De Sabata ◽

Ladislau Matekovits

Keyword(s):

Simple Structure ◽

Frequency Selective Surface ◽

Unit Cell ◽

Cell Array ◽

Structure Unit ◽

Frequency Selective

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Modelling and Prediction of Monthly Global Irradiation Using Different Prediction Models

Energies ◽

10.3390/en14082332 ◽

2021 ◽

Vol 14 (8) ◽

pp. 2332

Author(s):

Cecilia Martinez-Castillo ◽

Gonzalo Astray ◽

Juan Carlos Mejuto

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Random Forests ◽

Prediction Models ◽

Meteorological Station ◽

Ann Model ◽

Global Irradiation ◽

Artificial Neural ◽

Input Variables ◽

Using Data

Different prediction models (multiple linear regression, vector support machines, artificial neural networks and random forests) are applied to model the monthly global irradiation (MGI) from different input variables (latitude, longitude and altitude of meteorological station, month, average temperatures, among others) of different areas of Galicia (Spain). The models were trained, validated and queried using data from three stations, and each best model was checked in two independent stations. The results obtained confirmed that the best methodology is the ANN model which presents the lowest RMSE value in the validation and querying phases 1226 kJ/(m2∙day) and 1136 kJ/(m2∙day), respectively, and predict conveniently for independent stations, 2013 kJ/(m2∙day) and 2094 kJ/(m2∙day), respectively. Given the good results obtained, it is convenient to continue with the design of artificial neural networks applied to the analysis of monthly global irradiation.

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