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–12 ]. However, the calibration of simulation models is often very complex and time-consuming. Thus, simplified methods that generate calibrated building energy simulation models can be beneficial. In this context, a simplified approach to calibrate

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The object of the examination is a typical office building of the 1990s, owned by a multinational company -Siemens- dedicated to energy awareness. The building also meets the energy efficiency category ‘A’ under the 7/2006 TNM Hungarian regulations concerning the energy performance definition of buildings. However, demand has emerged to implement additional changes to reduce energy usage whilst keeping the current climate comfort or even improving it. International experience forecasts around 30% energy saving potential due to optimization of the building automation and energy management system, and thus the interaction and collaboration between the building geometry, structures and services systems. The project has been built in the IDA ICE complex building energy simulation program. Running a one-year dynamic simulation will provide data that can be compared with the measured data of the actual building, so the model can be adjusted and validated to real data. After the calibration it is now possible to test the ideas under safe conditions, in a virtual surrounding. Once a particular vision of the model is proven to work effectively, it is possible to apply this to the real building control management as well.

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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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]. In this study, it was tested how the model works in different periods. Therefore, the calibration of the hydrologic model was made in periods 1981–1990, 1991–2000, 2001–2010, 2011–2019 that are different in terms of climate. For further analysis

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. Calibration of a catchment-based land surface model in the Loire River basin (France) to assess hydrological impacts of climate change, Master Thesis , Environmental Engineering, Technische Universitat Munchen , 2009 . [22

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Pollack Periodica
Authors: David Honek, Zuzana Németová, Silvia Kohnová, and Monika Šulc Michalková

Abstract

The modeling of soil erosion processes is affected by several factors that reflect the physical-geographic conditions of the study site together with the land use linkage. The soil parameters are significant in the modeling of erosion and also runoff processes. The correct determination of a soil's parameters becomes a crucial part of the model's calibration. This paper deals with a sensitivity analysis of seven soil input parameters to the physically-based Erosion 3D model. The results show the variable influence of each soil parameter. The Erosion 3D model is very sensitive to initial soil moisture, bulk density, and erodibility.

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Eccentrically braced frames are well known for their capacity of dissipating seismic energy by plastic hinge formation in the so called ‘link elements’, which represent the dissipative devices of the eccentrically braced frame. The link element can be short, which means it will be mainly subjected to shear forces; long being mainly subjected to bending moment or intermediate in length subjected to a combined action of shear force-bending moment. The current study is focused on the calibration of existing experimental results with numerical finite element models of steel eccentrically braced frames with short link elements and a subsequent parametrical study considering different link lengths and multiple stiffeners along the link web panel.

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The moisture content in materials has influence on their thermal, acoustic and mechanical properties, what has clear relation to their durability and service life. On this account, there is necessary to monitor liquid moisture content in building materials, and to know its influence on their behavior and performance. This information can find use already in the design of building structures as well in the restoration and reconstruction of existing buildings.In the presented paper, the problem of calibration of high frequency time domain reflectometry (TDR) method for moisture content measurement in porous building materials is studied. In this work there is focused on analysis of dielectric mixing models that can be used for calibration of dielectric moisture measurement methods. Experimentally accessed data were compared with the results of several mixing dielectric models like formulas developed by de Loor, Dobson, Polder and van Santen and Lichtenecker as well as Wiener’s and Hashin-Shtrikman’s bounds, which define a theoretical minimal and maximal value of permittivity for the given moisture content.On the basis of performed experiments and calculations, the suitable mixing models are identified and recommendations for their practical application are formulated.

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Nowadays most of the users needing geodetic accuracy use the Global Positioning System (GPS) with static measurements or with RTK (Real Time Kinematic) measurements. Few seconds are available to measure a detail point, therefore only the RTK method can satisfy the expectations. In this case (called observation space) the users require corrections from a base station. These corrections are available from the user’s own base station or they can be downloaded from the Internet if active permanent network is available in the area. There are many locations where kinematic data is recorded and have to be processed without owned base stations or without active permanent networks. For example, LEO (Low-Earth Orbit) satellite’s GPS receivers, ocean surface monitoring with GPS buoys or archaeological exploration in countries without geodetic base. This paper investigates the possibility of PPP (Precise Point Positioning) method processing kinematic data. It is known that the accuracy of this technique is enough in GIS (Geographic Information System) applications. To increase the accuracy and reach geodetic precision final orbits, clock data from the GPS satellites and receiver’s antenna calibration data are needed besides several additional parameters (called state space). The attainable accuracy will be determined after the examination of the results.

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