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Yu Cui, Zishang Zhu, Xudong Zhao, Zhaomeng Li and Peng Qin
Conventional building energy models (BEM) for heating and cooling energy-consumption prediction without calibration are not accurate, and the commonly used manual calibration method requires the high expertise of modelers. Bayesian calibration (BC) is a ...
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Jennifer L. Castle, Jurgen A. Doornik and David F. Hendry
Economic forecasting is difficult, largely because of the many sources of nonstationarity influencing observational time series. Forecasting competitions aim to improve the practice of economic forecasting by providing very large data sets on which the e...
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Hirokazu Madokoro, Stephanie Nix and Kazuhito Sato
This paper presents a filter generating method that modifies sensor signals using genetic network programming (GNP) for automatic calibration to absorb individual differences. For our earlier study, we developed a prototype that incorporates bed-leaving ...
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Tanja Vonach, Franz Tscheikner-Gratl, Wolfgang Rauch and Manfred Kleidorfer
Although calibration of a hydrodynamic model depends on the availability of measurement data representing the system behavior, advice for the planning of necessary measurement campaigns for model calibration is scarce. This work tries to address this que...
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Tanja Vonach, Franz Tscheikner-Gratl, Wolfgang Rauch and Manfred Kleidorfer
Although calibration of a hydrodynamic model depends on the availability of measurement data representing the system behavior, advice for the planning of necessary measurement campaigns for model calibration is scarce. This work tries to address this que...
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Donghwi Jung, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 23
This study proposes variable balancing approaches for the exploration (diversification) and exploitation (intensification) of the non-dominated sorting genetic algorithm-II (NSGA-II) with simulated binary crossover (SBX) and polynomial mutation (PM) in t...
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Giuseppe Formetta, Giovanna Capparelli, Olaf David, Timothy R. Green, Riccardo Rigon
Pág. 1 - 15
The integration of a spatial process model into an environmental modeling framework can enhance the model?s capabilities. This paper describes a general methodology for integrating environmental models into the Object Modeling System (OMS) regardless of ...
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Ivar Annus, Anatoli Vassiljev, Nils Kändler and Katrin Kaur
The purpose of the study was to present an automated module for the calibration of urban drainage system models. A prepared tool based on the Open Water Analytics toolkit included 12 additional calibration parameters as compared to the existing similar s...
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Umberto Ferlito, Alfio Dario Grasso, Michele Vaiana and Giuseppe Bruno
Charge-Based Capacitance Measurement (CBCM) technique is a simple but effective technique for measuring capacitance values down to the attofarad level. However, when adopted for fully on-chip implementation, this technique suffers output offset caused by...
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Xuyue Yin, Xiumin Fan, Xu Yang, Shiguang Qiu and Zhinan Zhang
The proposed method provides a universal calibration tool of marker?object offset matrix for marker-based industrial augmented reality applications. Given an industrial product or part attached with one fiducial marker and its CAD model, the method autom...
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Majid Taie Semiromi, Sorush Omidvar and Bahareh Kamali
Robust calibration of hydrologic models is critical for simulating water resource components; however, the time-consuming process of calibration sometimes impedes the accurate parameters? estimation. The present study compares the performance of two appr...
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Donghwi Jung, Young Hwan Choi and Joong Hoon Kim
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
This paper presents artificial neural network (ANN)-based models for forecasting precipitation, in which the training parameters are adjusted using a parameter automatic calibration (PAC) approach. A classical ANN-based model, the multilayer perceptron (...
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Chounghyun Seong, Younggu Her and Brian L. Benham
Hydrologic Simulation Program-Fortran (HSPF) model calibration is typically done manually due to the lack of an automated calibration tool as well as the difficulty of balancing objective functions to be considered. This paper discusses the development a...
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Der-Chang Lo, Chih-Chiang Wei and En-Ping Tsai
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Chounghyun Seong, Younggu Her and Brian L. Benham
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Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos and Dimitrios Skarlatos
In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values a...
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Eleni Savvidou, Andreas Efstratiadis, Antonis D. Koussis, Antonis Koukouvinos and Dimitrios Skarlatos
In this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values a...
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Sérgio M. Jesus, Cristiano Soares, Miriam Romagosa, Irma Cascão, Ricardo Duarte, Friedrich Zabel and Mónica A. Silva
Economic globalization and the continuous search for food, energy and raw materials led to an estimated 3 dB/decade increase of ocean noise intensity. Determining the level of anthropogenic noise, the so-called excess noise, and building identifiable mea...
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Yi-Ping Huang, Bor-Tung Jiang, Chia-Hung Wu and Jen-Yuan Chang
Due to its high production flexibility, roller hemming has become the mainstream process for forming and joining metal sheets in the automotive industry. The traditional roller hemming process requires specific dies to support sheet metal parts and repea...
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