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Chunyu Song, Teer Guo, Jianghua Sui and Xianku Zhang
In order to solve the problem of the dynamic positioning control of large ships in rough sea and to meet the need for fixed-point operations, this paper proposes a dynamic positioning controller that can effectively achieve large ships? fixed-point contr...
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Jiahao Fan and Weijun Pan
In recent years, automatic speech recognition (ASR) technology has improved significantly. However, the training process for an ASR model is complex, involving large amounts of data and a large number of algorithms. The task of training a new model for a...
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Huihui Zhu, Hexiang Lin, Shaojun Wu, Wei Luo, Hui Zhang, Yuancheng Zhan, Xiaoting Wang, Aiqun Liu and Leong Chuan Kwek
Integrated photonic chips leverage the recent developments in integrated circuit technology, along with the control and manipulation of light signals, to realize the integration of multiple optical components onto a single chip. By exploiting the power o...
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Fuyin Cui, Shuling Chen, Hongbin Hao, Changzhi Han, Ruidong Ni and Yueyue Zhuo
To address the unstable motion of a tension leg platform (TLP) for floating wind turbines in various sea conditions, an improved method of incorporating a tuned liquid multi-column damper (TLMCD) into the TLP foundation is proposed. In order to evaluate ...
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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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