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Bomi Kim, Garim Lee, Yaewon Lee, Sohyun Kim and Seong Jin Noh
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (<1 km) and flooding conditions at catchment scale. Simulation experiments were implemented for the Geumho River catchment ...
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Abdallah E. Elwakeel, Yasser S. A. Mazrou, Aml A. Tantawy, Abdelaziz M. Okasha, Adel H. Elmetwalli, Salah Elsayed and Abeer H. Makhlouf
The use of automatic systems in the agriculture sector enhances product quality and the country?s economy. The method used to sort fruits and vegetables has a remarkable impact on the export market and quality assessment. Although manual sorting and grad...
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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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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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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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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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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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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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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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Quoc-Trung Do, Wen-Yang Chang and Li-Wei Chen
In the era of rapid development in industry, an automatic production line is the fundamental and crucial mission for robotic pick-place. However, most production works for picking and placing workpieces are still manual operations in the stamping industr...
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