Journal of Physics: Conference Series最新文献_第8页

Line optimization of multi-beam sonar sounding technology in ocean surveying and mapping 海洋测绘中多波束声纳探测技术的线路优化

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012004

Mengjia Li, Zien Zhou, Shaowei Lyu, Mengxuan Liang, Zixuan Gao and Chengming Xia

{"title":"Line optimization of multi-beam sonar sounding technology in ocean surveying and mapping","authors":"Mengjia Li, Zien Zhou, Shaowei Lyu, Mengxuan Liang, Zixuan Gao and Chengming Xia","doi":"10.1088/1742-6596/2813/1/012004","DOIUrl":"https://doi.org/10.1088/1742-6596/2813/1/012004","url":null,"abstract":"In this paper, the problem of line optimization existing in the practical application of multi-beam sonar-sounding technology is studied. Firstly, by analyzing the working principle of multi-beam sonar, the multi-beam coverage width model and the overlap rate model between adjacent strips are established considering the slope of seabed terrain. Then, a more general parameterized multi-beam coverage width formula with an adjustable azimuth angle of the line is derived under three-dimensional space coordinates. Then, the minimum total line length is defined as the objective function, and the constraint conditions of overlap rate and complete coverage are added to establish the mathematical model of line planning. Then, an iterative algorithm is designed to quickly determine the line spacing, and an improved particle swarm optimization algorithm, including a trigonometric function change learning factor, is used to search for the optimal line layout. Finally, the simulation results show that the optimized scheme can reduce the total line length by 2% compared with the unoptimized line layout, which verifies the effectiveness of the established model and algorithm. This study provides a theoretical basis for navigation planning and shipboard system optimization of multi-beam sonar survey. Subsequent work taking into account the influence of complex sea conditions, efforts were made to expand the model’s applicability.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141934168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Black-box modeling of PMSG-based wind energy conversion systems based on neural ODEs 基于神经 ODE 的 PMSG 风能转换系统黑箱建模

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2814/1/012005

Zhanhua Huang, Ran Hu, Nan Ma, Bing Li, Chen Chen, Qiangqiang Guo, Wuping Cheng and Chunpeng Pan

引用次数: 0

A real-time estimation method of carbon emission for cement corporations based on load identification 基于负荷识别的水泥企业碳排放实时估算方法

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2814/1/012008

Juntao Pan, Zhou Yang, Xingqiu Wei and Zhenglei Zhou

引用次数: 0

Photovoltaic MPPT based on improved Cuckoo algorithm 基于改进型 Cuckoo 算法的光伏 MPPT

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2814/1/012001

Xiaodong Liu and Hairong Zou

引用次数: 0

Thermal management of a battery pack using fin-embedded phase change material 利用鳍片嵌入式相变材料对电池组进行热管理

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012005

S Acharya and C Anand

引用次数: 0

Robot material processing and hardware-in-the-loop-based real-time simulations 机器人材料处理和基于硬件在环的实时模拟

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012002

Osama A Q Ziada, Yanxi Zhang, Hatem Algabroun, Olufunminiyi Abiri, Olayinka Olaogun, Gurtej Singh, Ali Hajian Foroushany and Jetro Kenneth Pocorni

引用次数: 0

Analytical Study of Barrier-free Door Closer Guide Rail System based on Slider-Crank Mechanism 基于滑块-曲柄机构的无障碍闭门器导轨系统分析研究

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2805/1/012004

Man-Yee Leong and Alfred C.H. Tan

{"title":"Analytical Study of Barrier-free Door Closer Guide Rail System based on Slider-Crank Mechanism","authors":"Man-Yee Leong and Alfred C.H. Tan","doi":"10.1088/1742-6596/2805/1/012004","DOIUrl":"https://doi.org/10.1088/1742-6596/2805/1/012004","url":null,"abstract":"One of the most important elements of barrier-free design is the door entrance system, particularly door closers. Door closers ensure that doors are easy to operate and do not pose any physical barriers to users. However, existing electro-mechanical door closers are relatively heavy, costly and have reliability issues in cases of power outages. Purely mechanical door closers, such as cam action with guide rail and rack-and-pinion with scissors arm, offer a more affordable option due to simpler design and fewer components used. Static forces and torque with geometrical constraints of the door closer guide rail system are considered in deriving the mathematical expressions of a door closer guide rail system using similar approaches as slider-crank mechanism. The formulation considers the effects of pinion torque of a door closer, installation inputs as design parameters, door angle and efficiency. The mathematical model and experimental results show close agreement. The contribution of this paper is that it demonstrates the underlying physics of the door closer guide rail system, thereby aiding in understanding the door behaviour. Additionally, the model can predict the behaviour of the system under different operating conditions, which can be useful for design and optimization purposes. More importantly, this model can be utilised to identify the most effective strategies in reducing opening forces on doors thereby providing design insights to barrier-free application in the future.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141934108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive spatial attention dual-branch fishing boat detection network 自适应空间注意力双分支渔船探测网络

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012001

Jiaxuan Yang and Xiang Liu

{"title":"Adaptive spatial attention dual-branch fishing boat detection network","authors":"Jiaxuan Yang and Xiang Liu","doi":"10.1088/1742-6596/2813/1/012001","DOIUrl":"https://doi.org/10.1088/1742-6596/2813/1/012001","url":null,"abstract":"Aiming at the harbor environment, the target detection accuracy of fishing vessels is low, and it is prone to the problems of fishing vessel misdetection and omission detection. In this paper, we propose a fishing vessel target detection algorithm called ASDNet based on YOLOX. Firstly, an Adaptive Spatial Attention Module (ASAM) was designed and used to improve the detection of fishing vessel targets; secondly, a two-branch backbone network was designed for multidimensional fishing vessel feature extraction. Meanwhile, a bilateral enhanced fusion strategy (BFFS) is designed to fuse the branch features to improve the characterization ability of the network; finally, the loss function is improved by introducing the Focal-CIOU loss bounding box loss function to reduce the effects of the detection position deviation of the fishing vessel target and the overlap of the vessel hull to improve the detection performance. The above methods are validated using the homemade fishing vessel dataset, and the results show that the precision rate (P) and recall rate (R) are greatly improved. The average precision rate (mAP@50-95) value reaches 80.25%, which is 2.39% higher than that of the 77.86% of the YOLOX. It significantly improves the precision of the detection, meets the requirements of the performance of the target detection of the fishing vessel, and has certain practical significance in engineering.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141934164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of diesel engine vibration signal acquisition system based on Zynq 基于 Zynq 的柴油机振动信号采集系统设计

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012002

Huishuai Wang, Haibo Gao and Wen Zuo

{"title":"Design of diesel engine vibration signal acquisition system based on Zynq","authors":"Huishuai Wang, Haibo Gao and Wen Zuo","doi":"10.1088/1742-6596/2813/1/012002","DOIUrl":"https://doi.org/10.1088/1742-6596/2813/1/012002","url":null,"abstract":"The vibration signal of a diesel engine contains a large amount of fault information, and an accurate collection of vibration signals will provide reliable data support for diesel engine condition monitoring. This paper designs a diesel engine vibration signal acquisition system based on the powerful Zynq chip. IEPE piezoelectric acceleration sensors are selected to collect diesel engine vibration signals, and a signal conditioning circuit is designed to filter out interference during signal transmission using the characteristics of differential signals and to adjust the voltage amplitude of the signal to ensure compliance with the input voltage level requirements of the AD conversion module. Considering the excellent performance of the AD7771, it is selected as the AD conversion chip, and the peripheral circuit design is completed. With the help of Vivado software, the software and hardware design based on the Zynq chip is completed, controlling the AD7771 to sample 8 channels of vibration signals. Finally, a signal conditioning circuit simulation model is established in Multisim 14.1 software to verify its good performance, and upper computer software is developed to monitor the fault information of the diesel engine.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141934169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Logical Mapping-based hierarchical safe reinforcement learning for autonomous driving 基于逻辑映射的自动驾驶分层安全强化学习

Journal of Physics: Conference Series Pub Date : 2024-07-31 DOI: 10.1088/1742-6596/2813/1/012005

Jihui Nie and Yingda Li

{"title":"Logical Mapping-based hierarchical safe reinforcement learning for autonomous driving","authors":"Jihui Nie and Yingda Li","doi":"10.1088/1742-6596/2813/1/012005","DOIUrl":"https://doi.org/10.1088/1742-6596/2813/1/012005","url":null,"abstract":"Making decisions in complex and multiple scenarios presents great challenges for autonomous driving systems (ADS). In recent years, deep reinforcement learning algorithms (DRL) have made remarkable breakthroughs in decision-making. However, there remain many problems, such as sparse reward and slow convergence in traditional DRL when facing multiple sub-goals. In this paper, we propose a hierarchical deep deterministic policy gradient (DDPG) based on the BDIK model for autonomous driving, which enables ADS to have the ability to make decisions in human-like deliberation ways as well as deal with uncertainties in the environment. First, we propose the BDIK model based on the Beliefs-Desires-Intentions (BDI) model so that the agents are guided by domain knowledge when generating their sub-goals. Furthermore, in contrast to traditional BDI systems making plans by hand, a BDIK hierarchical DDPG (BDIK HDDPG) algorithm is employed to deduce the optimal actions automatically in an uncertain environment. The results show that our method outperforms the standard DDPG for both processing speed and effectiveness in multiple and complex scenarios.","PeriodicalId":16821,"journal":{"name":"Journal of Physics: Conference Series","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141934171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0