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Chenglong Hou, Zhiguang Guan, Ziyi Guo, Siqi Zhou and Mingxing Lin
At present, sea cucumbers, sea urchins, and other seafood products have become increasingly significant in the seafood aquaculture industry. In traditional fishing operations, divers go underwater for fishing, and the complex underwater environment can c...
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Yuhao Lai, Ruijun Ma, Yu Chen, Tao Wan, Rui Jiao and Huandong He
The accurate detection of pineapples of different maturity levels in a complex field environment is the key step to achieving the early yield estimation and mechanized picking of pineapple. This study proposes a target detection model based on the improv...
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Van Quy Khuc and Duc Trung Tran
This paper introduces an advanced method that integrates contingent valuation and machine learning (CVML) to estimate residents? demand for reducing or mitigating environmental pollution and climate change. To be precise, CVML is an innovative hybrid mac...
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Ke Li, Yuangan Li, Liang Ma, Meng Liu and Jun Wang
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Yicong Guo, Xiaoxiong Liu, Xuhang Liu, Yue Yang and Weiguo Zhang
In complex environments, path planning is the key for unmanned aerial vehicles (UAVs) to perform military missions autonomously. This paper proposes a novel algorithm called flight cost-based Rapidly-exploring Random Tree star (FC-RRT*) extending the sta...
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Juan Li, Chengyue Li, Tao Chen and Yun Zhang
Due to the complexity of the marine environment, underwater target search and interception is one of the biggest problems faced by an autonomous underwater vehicle (AUV). At present, there is quite a lot of research in terms of the two-dimensional enviro...
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Yunfei Hou, Xiaojing Qian, Rui Zhang, Fan Gu and Ping Feng
This paper proposes an integrated life cycle assessment-life cycle cost (LCA-LCC) model of environmental and economic factors for highway engineering technical schemes to problems such as the limitations of single-dimensional assessment, their narrow sco...
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Chen Wang, Dongliang Wang, Minqiang Gu, Huaxing Huang, Zhaojun Wang, Yutong Yuan, Xiaomin Zhu, Wu Wei and Zhun Fan
Inspired by the behaviour of animal populations in nature, we propose a novel exploration algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended to the swarm level using the APF method through the LF search enviro...
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Shen-Cheng Zhang, Hui Wang, Zhi Liu, Shouzhen Zeng, Yun Jin and Tomas Bale?entis
As the main way of providing care for elderly people, home-based old-age care puts forward higher requirements for the environmental adaptability of the community. Five communities in Wuhu were selected for a comprehensive assessment of environmental sui...
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Yuxin Zhao, Yanlong Liu and Xiong Deng
The observation path planning of an ocean mobile observation network is an important part of the ocean mobile observation system. With the aim of developing a traditional algorithm to solve the observation path of the mobile observation network, a comple...
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Ruidong Zhang and Xinguang Zhang
When using deep learning networks for dynamic feature rejection in SLAM systems, problems such as a priori static object motion leading to disturbed build quality and accuracy and slow system runtime are prone to occur. In this paper, based on the ORB-SL...
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Naseem Adnan Alsamarai and Osman Nuri Uçan
Today, the IoT has become a vital part of our lives because it has entered into the precise details of human life, like smart homes, healthcare, eldercare, vehicles, augmented reality, and industrial robotics. Cloud computing and fog computing give us se...
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Bin Li, Jianlin Mao, Shuyi Yin, Lixia Fu and Yan Wang
Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved. To find a path with minimum cost o...
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Amit Sagu, Nasib Singh Gill, Preeti Gulia, Jyotir Moy Chatterjee and Ishaani Priyadarshini
With the growth of the Internet of Things (IoT), security attacks are also rising gradually. Numerous centralized mechanisms have been introduced in the recent past for the detection of attacks in IoT, in which an attack recognition scheme is employed at...
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Jinkai Guo, Xiao Xiao, Jianchi Miao, Bingquan Tian, Jing Zhao and Yubin Lan
In order to achieve accurate detection of mature Zanthoxylum in their natural environment, a Zanthoxylum detection network based on the YOLOv5 object detection model was proposed. It addresses the issues of irregular shape and occlusion caused by the gro...
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Seong-Yeoul Yoo, Jin-Hyung Lee, Hyung-Jin Shin and Chan-Gi Park
This study evaluated the performance of a hybrid panel in an improved moveable weir after exposure to accelerated environmental climate conditions. When exposed to a river environment, corrosion problems on improved moveable weir steel panels can occur. ...
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Chao Chen, Feng Wang, Yuzhe Cai, Shanlin Yi and Baofeng Zhang
This study aims to improve the Agaricus bisporus detection efficiency and performance of harvesting robots in the complex environment of the mushroom growing house. Based on deep learning networks, an improved YOLOv5s algorithm was proposed for accurate ...
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Xiangyu Chen, Miao Gao, Zhen Kang, Jian Zhou, Shuai Chen, Zihao Liao, Haixin Sun and Anmin Zhang
It is essential to promote the intelligence and autonomy of Maritime Autonomous Surface Ships (MASSs). This study proposed an automatic collision-avoidance method based on an improved Artificial Potential Field (APF) with the formation of MASSs (F-MASSs)...
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Guangzhong Liu, Sheng Zhang, Guojie Ma and Yipeng Pan
In order to solve the problem of many constraints and a complex navigation environment in the path planning of unmanned surface vehicles (USV), an improved sparrow search algorithm combining cubic chaotic map and Gaussian random walk strategy was propose...
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Efrem Yohannes Obsie, Hongchun Qu, Yong-Jiang Zhang, Seanna Annis and Francis Drummond
Early detection and accurately rating the level of plant diseases plays an important role in protecting crop quality and yield. The traditional method of mummy berry disease (causal agent: Monilinia vaccinii-corymbosi) identification is mainly based on f...
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