发布求助
文献互助 智能选刊 最新文献

2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)最新文献

筛选
英文 中文
Active Contour Model for Image Segmentation 图像分割的主动轮廓模型
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00011
Hamza Zia, Asim Niaz, K. Choi
{"title":"Active Contour Model for Image Segmentation","authors":"Hamza Zia, Asim Niaz, K. Choi","doi":"10.1109/ARACE56528.2022.00011","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00011","url":null,"abstract":"Region based active contours algorithms are extensively utilised for image segmentation irrespective of unavailability of the densely annotated large data sets as required in the case of fully supervised deep learning models. However, previous active contours models have certain limitations including false contours appearances when there is in-homogeneity in the image. In our model we combine local and global information in image level set function, proposing a hybrid energy function which helps efficiently evolve contours on image and may assess the significance of the object and surroundings.Bias-correction is used it solve energy of the bias field that takes into consideration the intensity in-homogeneity and the level set functions that indicate a division of the image domain. The proposed model computes its data force using image fitting energy to take out local information from in-homogeneous image and calculates all pixel values by once. Objects having high contrast of different gray level value or more in-homogeneity can be segmented. Results shows that our method is more stable and take less computation time as compared to previous models. Finally the superiority of the proposed models in terms of segmentation efficiency is proved.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201853","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
Cloud Task Scheduling Based on Improved Particle Swarm optimization Algorithm 基于改进粒子群优化算法的云任务调度
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00013
Hui Wang, C. Liu, PING-PING Li, Jin Yuan Shen
{"title":"Cloud Task Scheduling Based on Improved Particle Swarm optimization Algorithm","authors":"Hui Wang, C. Liu, PING-PING Li, Jin Yuan Shen","doi":"10.1109/ARACE56528.2022.00013","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00013","url":null,"abstract":"Aiming at the problem of task scheduling in cloud computing resource scheduling, a scheduling strategy combining genetic algorithm (GA) and improved particle swarm optimization algorithm (GA-IPSO) is proposed. Firstly, a multi-objective evaluated model is established considering the task completion time, maximum completion time and load balance. Secondly, GA is used to optimize the randomly generated solution space to generate the basic solution. Finally, the improved particle swarm optimization algorithm is proposed to obtain the optimal solution of cloud task scheduling. In this paper, particle swarm optimization (PSO) is improved by establishing nonlinear negative correlation between inertia weight and iteration times and combining individual cognitive learning factors with evaluation function values. Simulation results show that GA-IPSO reduces the fitness value, maximum completion time, task completion time and load balancing degree of virtual machines by 12.8%, 15.3%, 12.0%, 50.8% on average in small-scale tasks and by 18.9 %, 25.3 %, 15.6 %, 41.8 % on average for large-scale tasks compared with other algorithms.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122657837","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
A Hybrid A* Path Planning Algorithm Based on Multi-objective Constraints 基于多目标约束的混合A*路径规划算法
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/arace56528.2022.00009
Yu Zhao, Y. Zhu, Pingxia Zhang, Qi Gao, Xue Han
{"title":"A Hybrid A* Path Planning Algorithm Based on Multi-objective Constraints","authors":"Yu Zhao, Y. Zhu, Pingxia Zhang, Qi Gao, Xue Han","doi":"10.1109/arace56528.2022.00009","DOIUrl":"https://doi.org/10.1109/arace56528.2022.00009","url":null,"abstract":"To provide a safe, smooth and efficient global planning path for nonholonomic mobile robots. Aiming at the problems of traditional hybrid $A^{*}$ algorithm in path planning, such as approaching obstacles, unnecessary reversing and redundant turning, a multi-objective constraint method based on hybrid $A^{*}$ algorithm is proposed. To speed up the path planning, the heuristic function is dynamically weighted and the overall path cost function is designed. The path planning experiments are carried out in ROS (Robot Operation System) simulation environment and actual environment respectively, and the results show that. The hybrid $A^{*}$ algorithm with multi-objective constraints increases the minimum distance between the robot and obstacles by more than 50%, reduces the unnecessary times of reversing and turning, and reduces the total running time by 14.2% on average, thus improving the navigation efficiency of the mobile robot.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115934816","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
Multi-robot gas source localization based on conditional information entropy 基于条件信息熵的多机器人气源定位
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00027
Yu-Xiu Wu, Weiwei Shao, Ai-Min Zhang, Zheng-Lei Luo
{"title":"Multi-robot gas source localization based on conditional information entropy","authors":"Yu-Xiu Wu, Weiwei Shao, Ai-Min Zhang, Zheng-Lei Luo","doi":"10.1109/ARACE56528.2022.00027","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00027","url":null,"abstract":"A multi-robot gas source localization (GSL) based on multi-robot using conditional information entropy is proposed. In this method, two key point of multi-robot GSL is discussed and solved. The one is how to combined gas measurement of single robot; the other is using the combined result driving the robot to move. Here, we proposed a method base on distributed particle filtering to solve key point one, and using the conditional information entropy gradient to determine the motion of the robot, and then the key point two is solved. At last, three robots to be used for the experiment in the outdoor natural environment, The results validate the proposed algorithm.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100820","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
Hybrid access control permission decision method based on on-chain and off-chain collaboration 基于链上和链下协同的混合访问控制权限决策方法
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00020
Xiaohan Wang, Ming Tan, Siyuan Shang, Jiawang Han, Aodi Liu
{"title":"Hybrid access control permission decision method based on on-chain and off-chain collaboration","authors":"Xiaohan Wang, Ming Tan, Siyuan Shang, Jiawang Han, Aodi Liu","doi":"10.1109/ARACE56528.2022.00020","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00020","url":null,"abstract":"Aiming at the dynamic and fine-grained access control problems of massive data resources brought about by the characteristics of big data resources such as dynamic, distributed, multi-source heterogeneity, etc., we propose a hybrid access control based on on-chain and off-chain collaboration. Permission decision method, this method is based on the ABAC model, and constructs a two-layer hybrid access control permission decision structure composed of on-chain logical policy trusted decision and off-chain similarity policy efficient decision to achieve dynamic, accurate and fine-grained access control. Among them, the blockchain smart contract is used to realize distributed authority management and on-chain logical policy trusted decision, and the neural network model is used to establish a generalized association between unstructured text data based on semantic similarity. Precise description and efficient decision based on semantic similarity at the content feature level. The experimental results show that the method has good performance and can provide strong support for dynamic and fine-grained access control of massive data resources.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131652629","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
Comparison of Different Task Analysis Methods Based on Jack 基于Jack的不同任务分析方法比较
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00014
Wang Shu, Cao Peng
{"title":"Comparison of Different Task Analysis Methods Based on Jack","authors":"Wang Shu, Cao Peng","doi":"10.1109/ARACE56528.2022.00014","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00014","url":null,"abstract":"With the rapid development of digital technology and artificial intelligence, human-computer interaction technology is becoming more and more important. Therefore, it is indispensable to establish a virtual human model to simulate the actual state. This paper firstly introduces the development status of virtual simulation and the reasons for establishing virtual human body models, and takes virtual human body weight-lifting cubes with different weights as an example to create virtual human body models, import objects, and perform statics simulation. Then, through the three analysis methods in the jack platform, perform task analysis on virtual human weight-lifting cubes with different weights, and output the comparison results. Finally, three analysis methods are compared and explained. Finally, the creation and perfection of virtual human are prospected.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123166598","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
Nested Polynomials to Increase the Plasticity of Artificial Neural Networks 嵌套多项式增加人工神经网络的可塑性
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00028
L. Lechuga-Gutiérrez, N. Chel-Puc, E. Macias-Garcia, E. Bayro-Corrochano
{"title":"Nested Polynomials to Increase the Plasticity of Artificial Neural Networks","authors":"L. Lechuga-Gutiérrez, N. Chel-Puc, E. Macias-Garcia, E. Bayro-Corrochano","doi":"10.1109/ARACE56528.2022.00028","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00028","url":null,"abstract":"In this work, a nested polynomial structure is proposed as an alternative neuron model approach to the layers of traditional artificial neural networks, allowing increased its plasticity. This structure is employed to create a scalar field that allows generating new outputs in the supervised learning architecture while preserving the same network structure and operation. The proposed structure was implemented to classify non-linear functions and compared with other orthodox techniques, proving to have superior performance on the different proposed tasks.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131662538","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
Iterative Inverse Kinematics based on Screw Rotors and the Extended Kalman Filter 基于螺旋转子迭代逆运动学和扩展卡尔曼滤波
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00023
E. Macias-Garcia, J. Zamora-Esquivel, N. Chel-Puc, E. Bayro-Corrochano
{"title":"Iterative Inverse Kinematics based on Screw Rotors and the Extended Kalman Filter","authors":"E. Macias-Garcia, J. Zamora-Esquivel, N. Chel-Puc, E. Bayro-Corrochano","doi":"10.1109/ARACE56528.2022.00023","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00023","url":null,"abstract":"This paper presents a novel iterative algorithm for the solution of the inverse position kinematics for n-degrees-of-freedom kinematic chains with revolute joints using the Extended Kalman Filter. The algorithm implements an analytic gradient calculated using Screw Rotors in the Conformal Geometric Algebra framework, which is then employed as an update rule using the Extended Kalman Filter. Experimental results were carried out in simulation using the PUMA robot model, showing the proposed method’s effectiveness in generating joint references to displace the end-effector to a desired position while improving the existing convergence time.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125206115","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
Kinematics-Based Vehicle Trajectory Optimization for Obstacle Avoidance and Goal Satisfaction 基于运动学的避障与目标满足车辆轨迹优化
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00024
Mulang Shi
{"title":"Kinematics-Based Vehicle Trajectory Optimization for Obstacle Avoidance and Goal Satisfaction","authors":"Mulang Shi","doi":"10.1109/ARACE56528.2022.00024","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00024","url":null,"abstract":"The electric bicycle is one of the most important means of transportation in China, and it has a huge number of electric bicycle users. However, there are a lot of deaths caused by electric bicycle traffic accidents every year. In this paper, we design a driver-assisted electric bicycle and motion planning based on the iLQR algorithm that can avoid obstacles. The study provides a solution for the future generation of electric bicycles that can respond to emergencies and reduce accidents to improve travel safety.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134103088","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
Path planning algorithm for sweeping robot full traversal cleaning area 扫地机器人全遍历清扫区域的路径规划算法
2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) Pub Date : 2022-08-01 DOI: 10.1109/ARACE56528.2022.00030
Shijie Guo, Yonglin Huang, Dunjie You, T. Wang, Qiang Long
{"title":"Path planning algorithm for sweeping robot full traversal cleaning area","authors":"Shijie Guo, Yonglin Huang, Dunjie You, T. Wang, Qiang Long","doi":"10.1109/ARACE56528.2022.00030","DOIUrl":"https://doi.org/10.1109/ARACE56528.2022.00030","url":null,"abstract":"Path planning is an important part of the research and development of sweeping robots, and algorithm research is the core content of path planning. This paper proposes a path planning algorithm for sweeping robot sweeping areas in complex environments, which can be applied to both static and dynamic environments. Simulation experiments show that the algorithm proposed in this paper can cover 100% of the cleaning area, and the path repetition rate is about 5%; the cleaning efficiency is significantly better than other reference algorithms. The full traversal path planning algorithm proposed in this paper can provide new ideas for the development of sweeping robots and promote the construction of smart home services.","PeriodicalId":437892,"journal":{"name":"2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115511007","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书