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the sensing element as mentioned in P. Morerio, et.al, and G. Kong, [ 6 , 7 ]. As well as in [ 7 ], the camera-world mapping is approximated using a GPS-based learning calibration technique, and a new Wavelet-based model of fire’s frequency signature

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the better result as expected. The square root value of the whole data has taken as validating data. From the 192 available data, 14 data were involved for validation, and the remaining 178 data were used for calibration. These 178 data were separated

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characteristics, dissolved oxygen concentration, biomass amount). It has a long tradition to use Activated Sludge Models (ASM) model family [ 10 ], therefore a lot of experience is gained in model calibration and validation procedure. These models focus on

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Pollack Periodica
Authors: Andrej Šoltész, Dana Baroková, Zinaw Dingetu Shenga, and Michaela Červeňanská

accuracy of groundwater simulation depends on the quality and quantity of input data [ 5 ], it was necessary to obtain different input data to develop the conceptual model. Analysis of the current situation, calibration of the model and prediction of the

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Pollack Periodica
Authors: Zoltan Vizvari, Tibor Kiss, Csaba Ver, Kalman Mathe, Bojan Kuljic, Ferenc Henezi, and Peter Odry

. [17] Piasecki T. , Chabowski K. , Nitsch K. Design, calibration and tests of versatile low frequency impedance analyzer based on ARM microcontroller

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section which is well-known in the literature using a load-free formula. The calibration formula for sections with coefficients of variation less than 0.3 is given in Eq. (12) [ 16 ], The statistical parameters for the flexural strength of a steel

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Pollack Periodica
Authors: Mohammad Reza Ganjali Bonjar, Bálint Baranyai, Kristóf Roland Horváth, and István Kistelegdi

%/4.46 ACH H:144/C:100 34.600 m 3 /h “Building K” Heat recovery 80%/4.37 ACH H:164/C:102 HVAC “Cube B” 3 Simulation model calibration The building is modeled in the thermal and lighting simulation software environment IDA ICE 4.8 ( Fig. 1 ) using the

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refurbishment of a university building in cold Italian backcountry, Part 1, Audit and calibration of the numerical model , Energy Procedia , Vol. 159 , 2019 , pp. 2 ‒ 9 . 10.1016/j.egypro.2018.12.009 [14] Ascione F. , Borrelli M. , De Masi R. F

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the increasing speed of processing complex calculations allowed the use of numerical modeling for easier and faster calibration of models for further use in real and much more complicated geotechnical problems (e.g. deep foundation [ 1–2 ] and tunnels

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