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

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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
{"title":"Research and Development Trend of Knowledge Graph Construction Technology","authors":"Hao Chen, Yang Bai, Miaomiao Wei","doi":"10.1109/ICARCE55724.2022.10046642","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046642","url":null,"abstract":"Taking the construction of knowledge atlas as the main line, this paper introduces the concept definition, architecture and construction technology of knowledge atlas, discusses the problems and challenges in the iterative process of constructing knowledge atlas, and finally looks forward to the possible research directions in the future. In order to help interested readers fully understand and understand the technology.","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":"126125544","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 Application of Personalized Recommendation Technology in Adaptive Learning System Based on Java Programming 基于Java编程的个性化推荐技术在自适应学习系统中的应用研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046617
X. Zhao
{"title":"Research on Application of Personalized Recommendation Technology in Adaptive Learning System Based on Java Programming","authors":"X. Zhao","doi":"10.1109/ICARCE55724.2022.10046617","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046617","url":null,"abstract":"This paper taking the course of Java programming as an example, an adaptive learning question bank system based on personalized recommendation is realized by using collaborative filtering recommendation algorithm. Personalized test exercises that are suitable for students' own curriculum learning status can help students improve their learning efficiency and effectively promote the improvement and progress of students' academic achievements. At the same time, the application of this system can provide a reference basis for other adaptive learning systems based on personalized recommendation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"49 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":"123590540","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
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
{"title":"Infrared Image Captioning Based on Unsupervised Learning and Reinforcement Learning","authors":"Chenjun Gao, Ganghui Bian, Yanzhi Dong, Xiaohu Yuan, Huaping Liu","doi":"10.1109/ICARCE55724.2022.10046598","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046598","url":null,"abstract":"When sufficient prior knowledge is lacking or manual annotation is difficult, solving the problem directly based on training samples of unknown category can greatly reduce the time cost. Therefore, we add unsupervised learning to the preliminary groundwork of image captioning for efficient image domain conversion to achieve batch generation of the required images. At the same time, more and more infrared images are being applied to assist decision making and environment perception. Generating more diverse and discriminative image captions in similar scenes will be effective in enhancing decision making and perception capabilities. Our infrared image caption model trained with reinforcement learning has satisfactory results both in terms of quantitative scores and in real scene tests.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"AES-12 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":"126527716","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
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
{"title":"Robot Skill Learning Algorithm Based on Dynamic Motion Primitive","authors":"Huaying Liu, Lei Xue","doi":"10.1109/ICARCE55724.2022.10046555","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046555","url":null,"abstract":"In order to realize the complex operation skills learning of a UR 10 collaborative robot, we propose a dynamic-motion-primitive robot skill learning algorithm based on reinforcement learning and imitation learning. Shapes of demonstrated trajectories is re-trained with dynamic motion primitives, and the robot arm replaces the explicit coordinates to reach the target point in an exploratory manner. Experiment results show that the optimized trajectory of the robot can preserves the shape of the teach-and-fit track well.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"2 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":"131520907","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
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
{"title":"Ship Remote Driving and Monitoring Platform Architecture Construction Research","authors":"Chunxu Li, Jianan Luo, Jie Wen","doi":"10.1109/ICARCE55724.2022.10046539","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046539","url":null,"abstract":"Ship autonomous navigation is an advanced stage of ship intelligent navigation. Domestic and foreign institutions have made many efforts in the technical progress of intelligent navigation development. Before the fully autonomous navigation technology is mature, autonomous ships need to rely on remote driving and monitoring platforms to monitor and control ships. In order to achieve the progress of the ship intelligent navigation, proposed the architecture construction ideas of remote driving and monitoring platforms. The platform construction ideas are provided from the perspective of platform positioning, platform functions, overall architecture, system design and information interaction. The construction of the platform is helpful to provide development direction and experimental verification platform for domestic and foreign scientific research scholars and engineers.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"211 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":"123053785","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
{"title":"Research on Rural Water-saving Intelligent Irrigation System Based on Internet of Things","authors":"Mengxia He","doi":"10.1109/ICARCE55724.2022.10046563","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046563","url":null,"abstract":"In response to the backwardness of traditional agricultural irrigation technology in China, many places still use traditional manual watering, which is a serious waste of water resources and low irrigation efficiency, an intelligent agricultural water-saving irrigation control system based on the Internet of Things is designed, taking into account the characteristics of the moisture content of agricultural soil in different periods. This system uses wireless communication technology to transmit the soil moisture content, dry and wet conditions and other information inside the field obtained by the soil moisture detector to the control system in real time. On this basis, the control information is sent to each irrigation area using the wireless network to control the automatic valve opening and closing of the irrigation system, thus realizing automatic water supply and water-saving irrigation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"33 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":"116122410","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 Method of Mode Transition Control Law for TBCC Engine TBCC发动机模态过渡控制律设计方法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046578
Yongliang Zhang, Lingcong Nie, Ting Yu, F. Lu, Jin-Quan Huang
{"title":"Design Method of Mode Transition Control Law for TBCC Engine","authors":"Yongliang Zhang, Lingcong Nie, Ting Yu, F. Lu, Jin-Quan Huang","doi":"10.1109/ICARCE55724.2022.10046578","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046578","url":null,"abstract":"In this paper, a mathematical model of tandem turbine-based combined cycle (TBCC) engine is studied based on the component-level concept, and then the mode transition is focused on with the controller design. The aerodynamic thermodynamic equations are drawn out in the establishment of engine component-level model, and Newton-Raphson method is applied to solve the common operation equations. In addition, the modal transition process is simulated and analyzed, the mode transition operating point of the TBCC engine is determined in the flight trajectory. Thus, the combined engine modal transition control quantity adjustment plan is formulated. Finally, a multi-variable controller based on neural network estimation and inverse control is designed and verified in the TBCC simulation.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"125 23 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":"121189328","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
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
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
{"title":"Dual-Path Multi-Level Feature Fusion Network for Semantic Segmentation of Remote Sensing Image","authors":"Zhisheng Lie, S. Ren, Qiong Liu","doi":"10.1109/ICARCE55724.2022.10046553","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046553","url":null,"abstract":"Different objects with similar spectral features are common in remote sensing images, such as trees and low-vegetation, building and roads. It is important to segment them well for urban planning, traffic navigation, and so on. However, the existing multi-level feature fusion methods ignore the relationship among all features of each level, making these objects hard to distinguish. In this paper, we propose a Dualpath Multi-level Feature Fusion Network (DMFFN) to make good use of the features of backbone. This network includes two paths to fuse the features and model the dependences between them. After getting the features from two paths, we utilize a cross-attention module to decoder them for better segmentation. Experimental results over two datasets show that DMFFN outperforms state-of-the-art methods.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"2 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":"133799675","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
An Effective GNSS Fault Detection and Exclusion Algorithm for Tightly Coupled GNSS/INS/Vision Integration via Factor Graph Optimization 基于因子图优化的GNSS/INS/Vision紧密耦合故障检测与排除算法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046595
Haitao Jiang, Tuan Li, Chuang Shi
{"title":"An Effective GNSS Fault Detection and Exclusion Algorithm for Tightly Coupled GNSS/INS/Vision Integration via Factor Graph Optimization","authors":"Haitao Jiang, Tuan Li, Chuang Shi","doi":"10.1109/ICARCE55724.2022.10046595","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046595","url":null,"abstract":"Pseudorange measurements from GNSS (Global Navigation Satellite System) receivers are seriously affected by multipath in urban environments, which greatly degrades the positioning accuracy and reliability of GNSS/Inertial Navigation System (INS)/Vision integrated system. Fault Detection and Exclusion (FDE) module is essential to improve the robustness and positioning performance of the system. Recently, GNSS/INS/Vision integration via factor graph optimization (FGO) has attracted extensive attention due to its high accuracy and robustness. As measurements from multiple epochs can be used under FGO framework, it is expected that the detection capability of faulty pseudorange measurements can be improved significantly. Meanwhile, the inclusion of visual measurements could contribute to the capability of FDE of faulty GNSS measurements. In this contribution, we present a parallel GNSS FDE method via FGO, and it calculate the test statistics of each satellite based on the residuals of GNSS measurements in a sliding window. The public GVINS-dataset \"urban\" were used to evaluate the performance of the parallel GNSS FDE scheme in urban canyons. Experimental results show that compared with the GNSS/INS integration, the 2D positioning accuracy in terms of Root Mean Square Error of the parallel GNSS FDE scheme used for GNSS/INS/Vision integration is improved by 33.5% in urban complex environment. Additionally, compared with the sliding window-based FDE method, for GNSS/INS integration and GNSS/INS/Vision integration, the 2D positioning accuracy is increased by 12.1% and 11.7% respectively.","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":"123112297","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
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