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Qi Shi, Lu Li, Jiaqi Feng, Wen Chen and Jinpei Yu
On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run. Ho...
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Kyeong Ryong Kim, Aaron Lim and Jae Hyung Cho
The exterior location of a user can be accurately determined using a global positioning system (GPS). However, accurately locating objects indoors poses challenges due to signal penetration limitations within buildings. In this study, an MLP with stochas...
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Cong Xie, Oluwasanmi Koyejo and Indranil Gupta
Distributed machine learning is primarily motivated by the promise of increased computation power for accelerating training and mitigating privacy concerns. Unlike machine learning on a single device, distributed machine learning requires collaboration a...
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Cheng?en Li, Yunchao Tang, Xiangjun Zou, Po Zhang, Junqiang Lin, Guoping Lian and Yaoqiang Pan
Agricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery de...
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Gang Wang, Yimeng Yao, Jingtian Wang, Weiye Huo, Guosheng Xu and Xi Hu
In this paper, the mechanism scheme and parametric design of a capture and lock system are studied based on the high reliability of locking systems. By analyzing the workflow and boundary conditions of the capture and lock system, a positioning design is...
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Shaojie Ai, Jia Song, Guobiao Cai and Kai Zhao
Active disturbance rejection control (ADRC) is a model-independent method widely used in passive fault-tolerant control of the quadrotor unmanned aerial vehicle. While ADRC?s effectiveness in actuator fault treatment has been proven, its tolerance to sen...
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Mingyu Duan, Lefei Shao, Qibai Huang, Chenlin Wang, Xuefeng Li and Yizhe Huang
Prediction of rock fracturing capacity demands particular requirements for the exploitation of mineral resources, especially for the parameter design of conical pick performance for hard rock fragmentation, which must take into account differences in roc...
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Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
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Fredrik Fogh Sørensen, Malte von Benzon, Jesper Liniger and Simon Pedersen
Offshore pipelines and structures require regular marine growth removal and inspection to ensure structural integrity. These operations are typically carried out by Remotely Operated Vehicles (ROVs) and demand reliable and accurate feedback signals for o...
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Zhongwei Liang, Tao Zou, Yupeng Zhang, Jinrui Xiao and Xiaochu Liu
Considering the high quality requirements related to agricultural production, the intelligent prediction of sprinkler drip infiltration quality (SDIQ) of the moisture space distribution in soil fields is an important issue in precision irrigation. The ob...
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