Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence最新文献_第8页

Review of Path Planning for Autonomous Underwater Vehicles 自主水下航行器路径规划研究进展

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366280

Tingting Yao, Tao He, Wenlong Zhao, Abdou Yahouza M. Sani

引用次数: 8

Simulation Research of Gear Recovery Noise in Electric Opening Branch with the Vehicle Door Latch 汽车门闩电动开启支路齿轮恢复噪声仿真研究

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366215

Xu Su, Lubin Hang, Hui Guo, Mingyuan Wang, Zhe Liu, Yong Chen, Yong Hua, Jinliang Du

{"title":"Simulation Research of Gear Recovery Noise in Electric Opening Branch with the Vehicle Door Latch","authors":"Xu Su, Lubin Hang, Hui Guo, Mingyuan Wang, Zhe Liu, Yong Chen, Yong Hua, Jinliang Du","doi":"10.1145/3366194.3366215","DOIUrl":"https://doi.org/10.1145/3366194.3366215","url":null,"abstract":"The sound quality of the vehicle door latch directly affects the subjective evaluation of the passengers. Aiming at studying gear position recovering noise externally produced by the novel electric opening branch inside the latch, the relationship between gear's torque, angular velocity, and angular acceleration are analyzed. With the gear shaft taken as the center axis of rotation and the other direction of freedom constrained, a three-dimensional gear meshing finite element simulation model is established. The acceleration of gear is calculated using Abaqus software. Based on the boundary element method, the latch embodiments are abstracted into a physical model. The acceleration data is imported into the acoustic transient boundary element module, then the acoustic radiation analysis of the gear high-speed light-load transmission is carried out. The results show that the model can reflect the nonlinear force of the gears during high-speed light-load transmission and the position recovering characteristics of the electric opening branch. Finally, the time-domain acoustic response of the electric opening branch gears is calculated and has a good matching relationship with the input torque of gear. It has certain reference significance for the analysis and optimization of the vehicle door latch sound quality.c","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122347330","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

Dam surface crack detection based on deep learning 基于深度学习的大坝表面裂缝检测

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366327

Linjing Li, Hua Zhang, Jie Pang, Jishuang Huang

引用次数: 13

An improved motion pedestrian tracking algorithm based on CamShift 一种基于CamShift的改进运动行人跟踪算法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366265

Chao Zou, G. Yang

引用次数: 1

Research on Circular Track Platform and Parallel Mechanism for Pose Alignment of Levelness 水平度位姿对准的圆轨迹平台及并联机构研究

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366220

Shisen Lin, Lubin Hang, Xiaobo Huang, H. Yang, Junrong Chen, Ziyu Liu, Lusheng Zhou, B. Zhang, Xiansheng Zhu

引用次数: 0

A Modified User Identification Signal Recognition Algorithm for Power Wireless Private Network 一种改进的电力无线专网用户识别信号识别算法

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366323

Yongming Zhu, Y. Zhen, Kexiang Fang

{"title":"A Modified User Identification Signal Recognition Algorithm for Power Wireless Private Network","authors":"Yongming Zhu, Y. Zhen, Kexiang Fang","doi":"10.1145/3366194.3366323","DOIUrl":"https://doi.org/10.1145/3366194.3366323","url":null,"abstract":"Power wireless private network has the advantages of high spectrum efficiency, large data throughput and good system stability. However, in practical applications, it may cause large interference to 230 digital transmission stations, which affects the normal operation of the system. Spectrum-sensing technology can be used to capture 230 digital radio signals in the spectrum, so that both systems can work steadily on the same spectrum resources. When it is found that both use the same frequency point at the same time, it is avoided in time to ensure the stable operation of the system. The current communication signal modulation types tend to be diversified and complicated and the signals are more and more dense. Therefore, the perception function of the user is not only to realize the perception of the spectrum signal but also to accurately identify the type of the modulation signal. In view of this, after the cognitive system perceives the presence of authorized user signals in the licensed spectrum, the algorithm proposes a modulation signal recognition technology based on BP neural network, which helps the cognitive radio network of the power wireless private network to better perceive the spectrum environment. Identifying the type of modulation in the spectrum to determine the type of service for the authorized user, thereby facilitating better dynamic use of the spectrum.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818424","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 Trajectory Planning of ROS-based Manipulator 基于ros的机械臂轨迹规划研究

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366260

H. Tao, Yu Fang, Zhifeng Zhou

引用次数: 3

Measure Dry Beach Length of Tailings Pond Using Deep Learning Algorithm 利用深度学习算法测量尾矿库干滩长度

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366284

Jun Yang, Yeqing Sun, Qing Li, Zhiyu Qian

引用次数: 5

Improvement of surface temperature control system based on fuzzy adaptive PID algorithm 基于模糊自适应PID算法的表面温度控制系统改进

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366259

Luhao Ge, Bo Liu, Tao Wang

{"title":"Improvement of surface temperature control system based on fuzzy adaptive PID algorithm","authors":"Luhao Ge, Bo Liu, Tao Wang","doi":"10.1145/3366194.3366259","DOIUrl":"https://doi.org/10.1145/3366194.3366259","url":null,"abstract":"The thermostatic control system of traditional dough mixer has weak adaptive ability and large overshoot. In order to improve the self-adjusting ability of the constant temperature control system of the dough mixer, we have carried out many experimental analyses and finally come to the conclusion that the fuzzy self-adaptive PID algorithm can effectively improve the constant temperature system of the dough mixer. Traditional PID algorithm is composed of proportional unit P, integral unit I and differential unit D. Once the parameters P, I and D are established, they cannot be changed. Therefore, this algorithm has a weak adaptive ability and cannot be changed according to the environment. The fuzzy adaptive PID algorithm used in this paper refers to the input error e(t) and error change rate ec(t). Fuzzy reasoning is carried out by using fuzzy rules, and the fuzzy matrix table is consulted to meet the adaptive adjustment of PID parameters at different times, so as to achieve the adaptive PID algorithm. For the temperature control system of dough mixer, PID algorithm and fuzzy adaptive PID algorithm are used to construct the constant temperature system respectively. Based on the specific environment of the dough mixer, after three times of comparative experimental analysis, the final conclusion is that the fuzzy self-adaptive PID algorithm overshoot is small, which can reach the stable range faster, and the accuracy is improved by 0.6% compared with the traditional PID algorithm.","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132541438","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: 3

Data Compression Scheme for Fronthaul Based on Vector Quantization 基于矢量量化的前传数据压缩方案

Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2019-09-20 DOI: 10.1145/3366194.3366238

Chenwei Feng, Mingxia Lin, Xinlin Xie, Mingjiang Zhang

{"title":"Data Compression Scheme for Fronthaul Based on Vector Quantization","authors":"Chenwei Feng, Mingxia Lin, Xinlin Xie, Mingjiang Zhang","doi":"10.1145/3366194.3366238","DOIUrl":"https://doi.org/10.1145/3366194.3366238","url":null,"abstract":"With the rapid development of the mobile communication technology, the number of long-term evolution (LTE) users and the volume of data is continually increasing, which greatly increases the amount of data transferred by fronthaul, resulting in a huge investment in optical fiber resource. In order to control the consumption of optical fiber resource, lower the cost of operator and avoid congestion in the premise of increasing data volume, it is necessary to compress the data for fronthaul. According to the characteristics of the LTE baseband signal, this paper proposes a data compression scheme on the basis of discrete cosine transform (DCT) and vector quantization. Firstly, the time domain signal is transformed in DCT. And then, the k-means clustering algorithm is used for vector quantization on the transformed signal. Finally, the Huffman coding is applied to further increase the compression ratio (CR) under the promise of an acceptable error. The simulation results show that the scheme proposed has a good performance in both compression ratio and error vector Magnitude (EVM) for the LTE baseband signal base on orthogonal frequency division multiplexing (OFDM).","PeriodicalId":105852,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115887496","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