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Soc Design of Intelligent Recognition Based on RISC-V 基于RISC-V的智能识别Soc设计
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046614
Zhilai Ge, Penghao Xiao, Mengxue Li, Hai‐Ping Wang
{"title":"Soc Design of Intelligent Recognition Based on RISC-V","authors":"Zhilai Ge, Penghao Xiao, Mengxue Li, Hai‐Ping Wang","doi":"10.1109/ICARCE55724.2022.10046614","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046614","url":null,"abstract":"The RISC-V open source instruction set architecture has received extensive attention in the field of embedded low power consumption due to its advantages such as simplicity and low power consumption. However, due to the low computational power provided by RISC-V, it is difficult to deploy convolutional neural networks with high algorithm complexity. If deep learning cannot be applied to RISC-V, it will limit the promotion of RISC-V in the fields of automatic driving, face recognition, target tracking, natural language processing, etc. In this design, a CNN accelerator is designed, which is connected to the co-processor interface of RISC-V, and a set of user-defined instruction sets is designed to call the CNN accelerator to solve the problem that RISC-V cannot deploy neural networks. Through testing, when the soc system power consumption is only 0.4w, the co-CNN accelerator can accelerate the CNN more than 1000 times, meeting the requirements of low-power embedded field.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"8 3 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":"130205275","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
Natural Language Understanding for Chinese-based Service Robots 基于中文的服务机器人自然语言理解
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046487
Ganghui Bian, Chenjun Gao, Wenkai Che, Dong Yanzhi, Xiaohu Yuan, Huaping Liu
{"title":"Natural Language Understanding for Chinese-based Service Robots","authors":"Ganghui Bian, Chenjun Gao, Wenkai Che, Dong Yanzhi, Xiaohu Yuan, Huaping Liu","doi":"10.1109/ICARCE55724.2022.10046487","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046487","url":null,"abstract":"Service robots have been used in a large number of practical applications, and in recent years there has been an increasing amount of research work on human-robot interaction. In the field of human-robot interaction, the problem of natural language understanding for robots is crucial, and there is very little research on natural language understanding for robots in Chinese. In this paper, we propose a framework for understanding the Chinese language-based robot navigation commands and verify their effectiveness.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"50 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":"125359815","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
Knowledge Concept Recommendation Model for MOOCs with Local Sub-graph Embedding 基于局部子图嵌入的慕课知识概念推荐模型
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046444
ChengCheng Ju, Yi Zhu, Chenyu Wang
{"title":"Knowledge Concept Recommendation Model for MOOCs with Local Sub-graph Embedding","authors":"ChengCheng Ju, Yi Zhu, Chenyu Wang","doi":"10.1109/ICARCE55724.2022.10046444","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046444","url":null,"abstract":"Massive open online courses (MOOCs) play a crucial role in modern education by providing users with largescale open online learning platforms. Substantial research has been conducted to reduce user learning blindness and improve user experience, particularly in personalized course recommendations based on graph neural networks. However, these efforts have focused primarily on fixed or homogeneous graphs, are vulnerable to data sparsity problems, and are difficult to scale. This study proposes to overcome this limitation using graph convolution on local subgraphs combined with an extended matrix factorization model. First, the proposed method decomposes the heterogeneous graph into multiple meta-path-based subgraphs and combines random wandering sampling methods to capture complex semantic relationships between entities while sampling nodes' influence-rich neighborhoods. Next, the attention mechanism adaptively fuses the contextual information of different subgraphs for a more comprehensive construction of user preferences. Experiments on publicly available MOOCs datasets reveal that the proposed model outperforms other benchmark models and is highly scalable while alleviating the data sparsity problem.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"27 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":"125548849","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 the Detecting Technology of Tiny Capacitance 微小电容检测技术的研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046482
Jing Li, Xuefeng Liu, Huadong Lian
{"title":"Research on the Detecting Technology of Tiny Capacitance","authors":"Jing Li, Xuefeng Liu, Huadong Lian","doi":"10.1109/ICARCE55724.2022.10046482","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046482","url":null,"abstract":"The detection technology of extremely small capacitance is mainly divided into analog circuit detection mode based on discrete components and capacitance detection circuit based on special integrated chips. The analog circuit has the limitations of poor anti interference ability and complex design. With the maturity of digital processing circuit and the development of MEMS technology, based on the calculation requirements of the capacitance sensor of a certain type of high-precision laser pointing controller, the detection technology of extremely small capacitance is studied. First, three aspects of core device are chosen and analyzed. Then, circuit hardware and software are designed. Finally, experiments are tested and verified. The measured results show that the system can meet the detection requirements of measuring range from 1pF to 30pF and resolution of 1.4fF at 1kHz sampling rate.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"8 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":"117060522","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
Improved Gray Wolf Optimization (GWO) Algorithm for Path Planning 改进的灰狼优化(GWO)路径规划算法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046504
Yongsheng Guan, Ye Yuan, Fengming Yang
{"title":"Improved Gray Wolf Optimization (GWO) Algorithm for Path Planning","authors":"Yongsheng Guan, Ye Yuan, Fengming Yang","doi":"10.1109/ICARCE55724.2022.10046504","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046504","url":null,"abstract":"As we all known that existing optimization algorithms for path planning are easy to arrive local optimum state. An improved gray wolf optimization (GWO) algorithm is proposed for path planning application. GWO initializes the population randomly, which will cause poor population diversity. The searching mechanism of GWO will slow down the convergence rate and arrive the local optimal state. For the shortcomings of GWO, the initial population, searching mechanism and convergence factor have been improved. Firstly, the chaos mapping strategy is introduced to initialize the population for avoiding the uneven initial distribution of wolves individuals. Secondly, by using an adaptive solution to the convergence factor, the problem of convergence rate of GWO is improved. Finally, the weighted algorithm is presented to update the individual positions. In the paper, six classical functions are used to simulate and test particle swarm optimization (PSO), GWO and improved GWO algorithm. The results show that the improved GWO has better optimization ability and stability. The improved GWO is utilized to the path planning application with 3D non-grid map scene. The simulation results show that the proposed improved GWO for path planning achieve better performance.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"5 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":"121184839","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
Water Monitoring System Based on Computer Control 基于计算机控制的水监测系统
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046580
Lixin Zhao
{"title":"Water Monitoring System Based on Computer Control","authors":"Lixin Zhao","doi":"10.1109/ICARCE55724.2022.10046580","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046580","url":null,"abstract":"In today's society, water resources are increasingly becoming a topic of concern. Although China's water resources will not have a great impact in a short period of time, our country must also attach great importance to this direction. Attaching importance to water resources will help the smooth operation of our economy and provide more guarantees for the future development of mankind. This article talks about the method of water quality monitoring from the perspective of computer control, in considering the low cost, high accuracy, implementability, etc., through the sensor monitoring of water temperature and humidity, PH value and dissolved oxygen content and other aspects of the ZigBee technology network transmission to the data node, and then through the background processor for data transmission and analysis, in the form of a web page to the administrator to transmit the basic situation of water quality, complete the water quality related monitoring.","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":"121644505","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 Dynamic Characteristics of Aircraft with Floating Material 浮动材料飞行器动态特性研究
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046526
Juan Zhang, W. Yang, Weida Zhu, Lanling Ma, Changyuan Dong
{"title":"Research on Dynamic Characteristics of Aircraft with Floating Material","authors":"Juan Zhang, W. Yang, Weida Zhu, Lanling Ma, Changyuan Dong","doi":"10.1109/ICARCE55724.2022.10046526","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046526","url":null,"abstract":"This paper establishes a simplified aircraft with floating material, and conducts modal analysis and random vibration analysis. The purpose is to analyze the influence of floating material on the inherent characteristics of aircraft, and the number of detection rods and the metal shell on the inherent characteristics of aircraft with floating material. The results show that the floating material can make the low order frequencies of the aircraft more intensive. The aircraft will be more likely to resonate, and the weak part of the aircraft will change. The more the number of detection rods, the denser the low order frequencies, and the easier it is to see the resonance frequency of the aircraft. The influence of metal shell on aircraft is to increase the frequency of the same order and increase the stiffness of the whole model. The calculation results of the response points basically correspond to the modal calculation results of the aircraft. It can prove that the establishment and setting of the aircraft are correct, and the whole process can effectively analyze the random vibration of aircraft with floating material. The results of modal analysis can be used in engineering practice to prevent resonance, and provide a reference for the test.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"110 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":"116440773","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
Asynchronous Deep Federated Learning Method Based on Local Trainer Data Pollution 基于局部训练器数据污染的异步深度联邦学习方法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046641
Yu Lu, Xinzhou Cao
{"title":"Asynchronous Deep Federated Learning Method Based on Local Trainer Data Pollution","authors":"Yu Lu, Xinzhou Cao","doi":"10.1109/ICARCE55724.2022.10046641","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046641","url":null,"abstract":"The essence of federated learning is that each trainer cooperates with other trainers to achieve strong robustness and high prediction accuracy on the premise of ensuring their own private data security. When some local trainers’ data are polluted, it may cause systemic disasters. How to efficiently detect abnormal servers and dynamically manage abnormal local trainers is currently a challenging research direction. Based on this, this paper proposes the N batch RCF abnormal client federated detection algorithm based on normalized gradient. RCF detects the client abnormal gradient and records it in the abnormal gradient queue. If the N consecutive batch gradients uploaded by the client are abnormal, the communication with the global server is terminated. When the upload gradient does not meet the communication termination conditions, the communication is resumed; extracts sample features based on heterogeneous multi-model fusion to fully learn the spatial features of sample features.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"60 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":"126287913","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
Multivariable Generalized Predictive Control Method for Aero-Engine 航空发动机多变量广义预测控制方法
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046461
Yuzhu Zhang, Yong-Liang Zhang, Lingcong Nie, Jin-Quan Huang, F. Lu
{"title":"Multivariable Generalized Predictive Control Method for Aero-Engine","authors":"Yuzhu Zhang, Yong-Liang Zhang, Lingcong Nie, Jin-Quan Huang, F. Lu","doi":"10.1109/ICARCE55724.2022.10046461","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046461","url":null,"abstract":"The current aero-engine control algorithm application is mainly Proportional Integral Derivative (PID) control, and it is simple and easy to implement. However, it is difficult to meet the growing requirements of high-performance intelligent engine control based on the PID algorithm. In this paper, a novel multivariable control algorithm, called Multivariable Generalized Predictive Control (MGPC), is studied based on the Generalized Predictive Control (GPC) combined with the intelligent optimization-seeking for aero-engine speed and pressure ratio control. The engine control quality is influenced by some control parameters, including prediction time domain and control time domain. The simulation results show that the designed engine MGPC controller can provide better dynamic and steady control performance than the traditional PID one.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"108 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":"127019328","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
Six-degree-of-freedom Robot Trajectory Planning Based on MATLAB 基于MATLAB的六自由度机器人轨迹规划
2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE) Pub Date : 2022-12-16 DOI: 10.1109/ICARCE55724.2022.10046483
Zhengyang He, Jingchen Li
{"title":"Six-degree-of-freedom Robot Trajectory Planning Based on MATLAB","authors":"Zhengyang He, Jingchen Li","doi":"10.1109/ICARCE55724.2022.10046483","DOIUrl":"https://doi.org/10.1109/ICARCE55724.2022.10046483","url":null,"abstract":"With the development of science and technology in various countries, industrial robots have become a key research object in various countries. The study of trajectory and dynamics of industrial robots can help to improve robot efficiency. In this paper, the structure and DH parameters of KUKA six-degree-of-freedom industrial robot arm are analyzed, five spatial trajectory points are planned, and the corresponding joint angles are solved by using inverse kinematic numerical solution method. The trajectory planning of the industrial robot joint space is carried out by using the fifth polynomial interpolation method to the kinematic analysis and the inverse kinetic analysis are completed by using the Newton Euler method. This study provides a basis for the trajectory planning and dynamics Analysis of such robots.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"12 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":"130478686","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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