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Min Li, Zhirui Cui and Tianyu Fan
In order to further improve the accuracy of flood routing, this article uses the Variable Exponential Nonlinear Muskingum Model (VEP-NMM), combined with the Artificial Rabbit Optimization (ARO) algorithm for parameter calibration, to construct the ARO-VE...
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Dennis Papenfuß, Bennet Gerlach, Stefan Fischer and Mohamed Ahmed Hail
The IoT encompasses objects, sensors, and everyday items not typically considered computers. IoT devices are subject to severe energy, memory, and computation power constraints. Employing NDN for the IoT is a recent approach to accommodate these issues. ...
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Qimin Gao, Lei Cheng, Renbing Wang, Mingjiang Chen, Weisong Zhao, Jingjing Fu and Zhenwei Wang
The mechanical properties of tomato stalk, relevant to the harvesting and crushing of tomato vines, significantly impact its harvesting quality and efficiency. Establishing a simulation model, which accurately mirrors these properties, is foundational fo...
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Xuejun Zhang, Lei Guo, Jinshan Yan, Zenglu Shi, Mengchen Kang and Jieting Yao
The extended duration of mulching in Xinjiang cotton fields leads to a significant decline in the tensile strength of plastic film. When recycling is in operation, the soil and the spring teeth of the machinery used can easily cause secondary damage and ...
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Wei Wang, Huanhuan Feng, Yanzong Li, Quanwei You and Xu Zhou
At present, the determination of tunnel parameters mainly rely on engineering experience and human judgment, which leads to the subjective decision of parameters and an increased construction risk. Machine learning algorithms could provide an objective t...
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Lin Ma, Fuheng Ma, Wenhan Cao, Benxing Lou, Xiang Luo, Qiang Li and Xiaoniao Hao
A original strategy for optimizing the inversion of concrete dam parameters based on the multi-strategy improved Sooty Tern Optimization algorithm (MSSTOA) is proposed to address the issues of low efficiency, low accuracy, and poor optimizing performance...
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Anthony A. Amori, Olufemi P. Abimbola, Trenton E. Franz, Daran Rudnick, Javed Iqbal and Haishun Yang
Model calibration is essential for acceptable model performance and applications. The Hybrid-Maize model, developed at the University of Nebraska-Lincoln, is a process-based crop simulation model that simulates maize growth as a function of crop and fiel...
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Wei Fan, Hao Cui, Hong Lu, Lanqi Meng and Qiaohua Wang
The sterilization of liquid eggs plays a crucial role in the production of liquid egg products. Traditional pasteurization techniques can easily cause protein denaturation, while non-thermal sterilization techniques are often constrained by processing in...
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Bin Li, Xiaolong Gao, Xuegeng Chen, Yang Liu, Shiguo Wang and Yuncheng Dong
To solve the problems associated with the poor harvesting ability of existing sunflower harvester cutting tables, and high seed drop rates, we designed a sunflower cutting table that can greatly improve the operational performance of sunflower combine ha...
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Sharoon Saleem, Fawad Hussain and Naveed Khan Baloch
Network on Chip (NoC) has emerged as a potential substitute for the communication model in modern computer systems with extensive integration. Among the numerous design challenges, application mapping on the NoC system poses one of the most complex and d...
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