2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)最新文献_第8页

Research and Development Trend of Knowledge Graph Construction Technology 知识图谱构建技术的研究与发展趋势

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046642

Hao Chen, Yang Bai, Miaomiao Wei

引用次数: 0

Recognition of Macrofungi by Convolutional Neural Networks with Attention Mechanism 基于注意机制的卷积神经网络识别大型真菌

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046546

Yonggong Han, Wen-Chung Liao, Jianxin Wang

{"title":"Recognition of Macrofungi by Convolutional Neural Networks with Attention Mechanism","authors":"Yonggong Han, Wen-Chung Liao, Jianxin Wang","doi":"10.1109/ICARCE55724.2022.10046546","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046546","url":null,"abstract":"Macrofungi refer to fungi with large fruiting bodies. In terms of systematic classification, the species of macrofungi come from the Discomycetes of Basidiomycota and Ascomycota. As the decomposer of nature, macrofungi play a key role in the carbon cycle of the earth and have strong research significance. However, there are many kinds of macrofungi, with a population of more than 10 000. It requires profound professional knowledge to identify them, which is a waste of manpower and material resources. In this study, we creatively proposed a new method based on convolutional neural network (CNN) to recognize macrofungi images. By combining the attention mechanism with the lightweight backbone model densely connected convolutional network (DenseNet), A-DenseNet model is proposed to complete the efficient classification task of macrofungi. The recognition accuracy of our model on the public macrofungi dataset reached 84.3%, and the recognition accuracy on the local macrofungi dataset reached 82.2%, which illustrates the excellent performance of our network in the macrofungi recognition task. This method is an effective supplement and reference for macrofungi classification task.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115547936","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

Research on Rural Water-saving Intelligent Irrigation System Based on Internet of Things 基于物联网的农村节水智能灌溉系统研究

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046563

Mengxia He

引用次数: 0

Ship Remote Driving and Monitoring Platform Architecture Construction Research 船舶远程驾驶与监控平台体系结构构建研究

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046539

Chunxu Li, Jianan Luo, Jie Wen

引用次数: 0

Seismic Random Noise Attenuation via Noise Assisted-multivariate EMD Based MSSA 基于噪声辅助多元EMD的MSSA地震随机噪声衰减

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046637

Weida Ni, Y. Lou, Xiaolu Xu, Z. Shan, Shouzhong Xue, Wei Wang

{"title":"Seismic Random Noise Attenuation via Noise Assisted-multivariate EMD Based MSSA","authors":"Weida Ni, Y. Lou, Xiaolu Xu, Z. Shan, Shouzhong Xue, Wei Wang","doi":"10.1109/ICARCE55724.2022.10046637","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046637","url":null,"abstract":"Seismic random noise reduction is a critical task for seismic data processing. However, because seismic data is a representatively broadband signal, it is challenging to distinguish and attenuate random noise that present throughout the whole frequency range. Furthermore, it might be challenging to adjust the settings of denoising methods. To overcome the aforementioned problems, we suggest a multichannel filtering approach, i.e., noise-assisted multi-variate empirical mode decomposition (NA-MEMD) based multichannel singular spectrum analysis (MSSA). To filter noisy seismic data, we use NA-MEMD to decompose the noisy seismic data into a number of band-limited intrinsic mode functions (IMFs) with various center frequencies and bandwidths. Note that multiple channels of a particular IMF have the same dominant frequency aids in more reduction of random noise. Then, for separating random noise and maintaining valid signals, we apply MSSA to each IMF. The denoising outcome is then achieved by adding all the filtered IMFs. To demonstrate the validity and effectiveness of the suggested approach, we apply it to synthetic and 3D real data, and compare with traditional denoising techniques.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124416144","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: 1

Infrared Image Captioning Based on Unsupervised Learning and Reinforcement Learning 基于无监督学习和强化学习的红外图像字幕

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046598

Chenjun Gao, Ganghui Bian, Yanzhi Dong, Xiaohu Yuan, Huaping Liu

引用次数: 1

Dual-Path Multi-Level Feature Fusion Network for Semantic Segmentation of Remote Sensing Image 用于遥感图像语义分割的双路径多级特征融合网络

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046553

Zhisheng Lie, S. Ren, Qiong Liu

引用次数: 0

Resource-Aware Scheduling Mechanism for Real-Time Tasks in Lightweight Edge Systems 轻量级边缘系统中实时任务的资源感知调度机制

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046442

Weiwei Miao, Zeng Zeng, Changzhi Teng, Rui Zhang

{"title":"Resource-Aware Scheduling Mechanism for Real-Time Tasks in Lightweight Edge Systems","authors":"Weiwei Miao, Zeng Zeng, Changzhi Teng, Rui Zhang","doi":"10.1109/ICARCE55724.2022.10046442","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046442","url":null,"abstract":"Lightweight edge systems are complicated due to their limited execution capabilities and communication problems. Due to the highly complex and dynamic nature of real-time tasks, scheduling services to which nodes faces the unique challenges of resource allocation and network bandwidth coordination. To address these challenges, in this paper we introduce a scheduling mechanism called RASM. Using this mechanism, intelligent real-time tasks at the lightweight edge can be efficiently assigned to the appropriate computing nodes without waiting in long queues at the edge nodes or being allocated to the cloud indiscriminately. Our approach is a novel technology for scheduling resources in the server environment. Particularly, our method defines a cache list to record the task execution location, priority and system remaining resources, so as to unload the task to the appropriate node for execution and maximize the quality of service. Our approach is scalable and efficient with the provided infrastructure resources. Our evaluation shows that over the same conditions, RASM reduces the delay by more than 15% compared with the Cloud Only environment, and solves more tasks than the Edge Only environment.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132260110","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

Robot Skill Learning Algorithm Based on Dynamic Motion Primitive 基于动态运动原语的机器人技能学习算法

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046555

Huaying Liu, Lei Xue

引用次数: 0

A Meter Replacing Assist Device without Power Outages Based on SCR Bypass 一种基于可控硅旁路的无断电辅助装置替代仪表

2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046596

Kai Chen, Kun Peng, Yue Zhu, Wenhui Shi, Yewei Jie, Zhongjie Wang, Jiafeng Sheng, Jiahan Tang

{"title":"A Meter Replacing Assist Device without Power Outages Based on SCR Bypass","authors":"Kai Chen, Kun Peng, Yue Zhu, Wenhui Shi, Yewei Jie, Zhongjie Wang, Jiafeng Sheng, Jiahan Tang","doi":"10.1109/ICARCE55724.2022.10046596","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046596","url":null,"abstract":"Frequent power outages for meter replacement have a negative impact on some customers' normal electricity consumption, can even result in considerable financial losses for specific customers, and raise consumer complaints, so it is necessary to research technologies that can replace meters without power outages. The new type of meter box with the special wiring base plate and plug-in increases the cost of the meter box and is difficult for installed users to apply. The use of consumable type piercing tools destroys the insulation of the original wires, has a certain depletion of materials, and lacks intelligence. The bypass circuit controlled by the contactor will destroy the leakage protector in the meter box due to inconsistencies in the contactor contacts. In this study, we analyze the phenomena whereby the contactor's direct bypass destroys the leakage protector. We create a silicon-controlled auxiliary device that allows users to replace the meter without power outages. We design a non-intrusive bypass fixture for the meter box's air switch. TMS320F28335 regulates the bypass circuit's SCR group. The device's features include reuseability, seamless transition from the main circuit to the bypass circuit, metering and protection when the bypass is converted to supply, and the ability to replace meters without power outages without electricity. The function of the device has been verified in both laboratory tests and field meter replacement work, and can be promoted in the work of low voltage distribution grid meter replacement.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807625","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