2023 3rd International Conference on Computer, Control and Robotics (ICCCR)最新文献_第2页

Tuned Mass Damper in Low Rise Experimental Model and Computational Model in High Rise Buildings in Huancayo 环卡约低层调谐质量阻尼器试验模型及高层建筑计算模型

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10193925

Karely Sherly Alcantara-Gamboa, Alcides Cruz-Ochoa, Yolvi Alighieri Mescua-Segovia, Lutsen Danino Antezana-Gamarra

{"title":"Tuned Mass Damper in Low Rise Experimental Model and Computational Model in High Rise Buildings in Huancayo","authors":"Karely Sherly Alcantara-Gamboa, Alcides Cruz-Ochoa, Yolvi Alighieri Mescua-Segovia, Lutsen Danino Antezana-Gamarra","doi":"10.1109/ICCCR56747.2023.10193925","DOIUrl":"https://doi.org/10.1109/ICCCR56747.2023.10193925","url":null,"abstract":"According to the IGP worldwide, Peru is considered a country with greater seismic potential, classified as a zone of high seismicity for presenting accelerations of 0.25g to 0.35g in the area of Huancayo. This work develops the use of the tuned mass damper in an experimental 5-story scale model and a 20-story ETABS model located in the city of Huancayo. For the seismic analysis the Richter scale of 6.39 Ml was used and to analyze the behavior of the structure the Arduino Mega was used by means of a GY521-MPU6050 accelerometer sensor and the readings were obtained by means of the microcontroller, while for the 20-story model it was performed by means of ETABS. Finally, it was obtained that the tuned mass damper is effective for structures greater than 5 stories since it only reduced by 6.25% in the experimental model, while for the 20-story model a reduction of the displacements between floors in the x-direction by 38.69% and a reduction in the period in the same direction by 44.07% was obtained.","PeriodicalId":295437,"journal":{"name":"2023 3rd International Conference on Computer, Control and Robotics (ICCCR)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134206142","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

SP-MAE: Lidar Beam-Induced Domain Adaptation for 3D Object Detection via Semantic Point Masked Autoencoders SP-MAE:基于语义点掩码自编码器的激光雷达波束诱导域自适应三维目标检测

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10193909

Yaolin Liang, Zhiming Tu, Tao Wu

{"title":"SP-MAE: Lidar Beam-Induced Domain Adaptation for 3D Object Detection via Semantic Point Masked Autoencoders","authors":"Yaolin Liang, Zhiming Tu, Tao Wu","doi":"10.1109/ICCCR56747.2023.10193909","DOIUrl":"https://doi.org/10.1109/ICCCR56747.2023.10193909","url":null,"abstract":"In autonomous driving scenarios, lidar-based object detectors are widely used in 3D object detection. For the sake of safety redundancy, some self-driving vehicles will be equipped with multiple lidars with different beams, but training multiple lidar-based object detectors requires high costs. In our experiments, the performance of a lidar-based detector model trained on a high-beam lidar domain drops dramatically when transferred to a low-beam lidar domain. At present, there is no public 3D object detection dataset across-lidar-beams domains. In this paper, a 3D object detection dataset adapted across-lidar-beams domain is produced by the LGSVL simulator. The reason for the performance degradation of the lidar-based detectors across lidar-beams domains are mainly due to the large gap in the foreground object point count. To solve this problem, this paper proposed a semantic point generation method based on masked autoencoders, which can bridge the data gap between lidar beam-induced domains by generating more foreground semantic points so as to realize the migration of the detector model. In addition to solving the problem of lidar beam-induced domains migration, SP-MAE can also improve the performance of 3D lidar-based detectors. Experiments showed that the PVRCNN detector can improve 5.11 3D AP of pedestrian on the KITTI dataset after using SP-MAE.","PeriodicalId":295437,"journal":{"name":"2023 3rd International Conference on Computer, Control and Robotics (ICCCR)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133165938","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

Equivalent Magnetic Circuit Model and Experimental Study of the New Magnetic Coupler 新型磁力耦合器等效磁路模型及实验研究

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194030

Xin Ma, Shuang Wang, Tun Yang, Jiale Tong

{"title":"Equivalent Magnetic Circuit Model and Experimental Study of the New Magnetic Coupler","authors":"Xin Ma, Shuang Wang, Tun Yang, Jiale Tong","doi":"10.1109/ICCCR56747.2023.10194030","DOIUrl":"https://doi.org/10.1109/ICCCR56747.2023.10194030","url":null,"abstract":"In order to effectively solve the problems of large impact vibration and frequent overload of hard rock roadheader at present, a new magnetic coupler based on flexible transmission technology is proposed. Combined with the structural characteristics of the new magnetic coupler, the mathematical model of air-gap magnetic field is established by using the method of “field” and “circuit”. Based on the superposition of current, the current is converted to the surface of copper conductor, and the induced electromotive force is integrated along the circumferential direction, and the electromagnetic torque model of space magnetic field is established. Based on the above, a prototype is designed and manufactured, and its mechanical characteristics are simulated, analyzed and tested. The results show that the difference between theoretical value, simulation value and experimental value is less than 10% at the same slip rate. Compared with the asynchronous motor with the same capacity, the new magnetic coupler has wider linear working area and softer mechanical characteristics, so it has stronger overload protection capability. This study can provide application reference for mechanical equipment with large start-up impact and frequent overload.","PeriodicalId":295437,"journal":{"name":"2023 3rd International Conference on Computer, Control and Robotics (ICCCR)","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115444067","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 Space High Stability Optical Scanning Servo System 空间高稳定性光扫描伺服系统研究

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194089

Pengfei Wu, Zenghao Chen, Yutong Zhu, Zhenfeng Fang, Fengdan Zu

引用次数: 0

A 3D/2D Coronary Artery Registration Method Based on Deep Reinforcement Learning 一种基于深度强化学习的三维/二维冠状动脉配准方法

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10193905

Jun Yan, Zhuang Fu, Zeyu Fu, Y. Guan

{"title":"A 3D/2D Coronary Artery Registration Method Based on Deep Reinforcement Learning","authors":"Jun Yan, Zhuang Fu, Zeyu Fu, Y. Guan","doi":"10.1109/ICCCR56747.2023.10193905","DOIUrl":"https://doi.org/10.1109/ICCCR56747.2023.10193905","url":null,"abstract":"At present, vascular interventional surgery mainly depends on the conventional coronary angiography (CCA) and coronary computed tomography angiography (CCTA). However, due to various reasons such as different imaging principles and different operation methods, both CCA and CCTA imaging technologies can only be used separately. In order to integrate the two kinds of medical image information, medical image registration technologies based on artificial intelligence have emerged. In this paper, we propose a 3D/2D coronary artery registration method based on the combination of feature and deep reinforcement learning. Based on the centerline feature, we perform a projection transformation to unify the dimensions between two modes, then design a deep reinforcement learning algorithm, complete the mapping of the state space by convolutional neural network (CNN), discretize the actions of the agent, and use the Euclidean distance to define the reward function for fine coronary artery registration. The method is used for experiments with clinical CCA and CCTA data sets, and compared with other registration algorithms. The results show that the registration error rate of the proposed method is lower than that of other algorithms, it has strong accuracy and robustness, and can handle the registration problems of complex vascular segments.","PeriodicalId":295437,"journal":{"name":"2023 3rd International Conference on Computer, Control and Robotics (ICCCR)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123502115","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

Brief-Term Electricity Load Forecasting Based on Improved PSO-Optimized BP Neural Network 基于改进pso优化BP神经网络的短期电力负荷预测

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194005

Rui Liu, Lisheng Wei, Rui Wang

引用次数: 0

Analysis of Radial Stress Field around Riveted Holes of Single Rivet Panel and Two Way Rolling Re Shaping Strategy 单铆钉板铆接孔周围径向应力场分析及双向轧制成形策略

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194177

Yonggang Kang, Tianyu Wang, Yonggang Chen, Guomao Li, Huantian Xiao

引用次数: 0

Research on Coal and Gangue Recognition Method Based on Improved MobileNetV3 Network 基于改进MobileNetV3网络的煤矸石识别方法研究

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194036

Wei Chen, Shuang Wang, Qisheng Luo, X. Li

引用次数: 0

Collision Avoidance of Wheel-Legged Robots on Complex Topography Based on Vertical Artificial Potential Field Method 基于垂直人工势场法的复杂地形轮腿机器人避碰

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10194072

Zhengyu Pan, Jiliang Wang, Shaoxun Liu, Shiyu Zhou, Zhihua Niu, Rongrong Wang

{"title":"Collision Avoidance of Wheel-Legged Robots on Complex Topography Based on Vertical Artificial Potential Field Method","authors":"Zhengyu Pan, Jiliang Wang, Shaoxun Liu, Shiyu Zhou, Zhihua Niu, Rongrong Wang","doi":"10.1109/ICCCR56747.2023.10194072","DOIUrl":"https://doi.org/10.1109/ICCCR56747.2023.10194072","url":null,"abstract":"The ability to navigate complex topography poses a significant challenge to the computational power of controllers for wheel-legged robots, as it requires the planning of the robot's motion path based on terrain height information and considering the sophisticated dynamics of the wheel-leg mechanism. Therefore, we propose a virtual force control method based on the vertical artificial potential field (APF) to address this problem. The virtual attractive and repulsive forces of the robot's center of mass (CoM) are obtained through pre-determined poles in the robot's body. We distribute the generalized virtual force to each tire by quadratic programming (QP) and then map it to the actuation joints of the legs and wheels. Additionally, a residual observer for external torque is implemented to determine the ground contact state of the wheels. The proposed control architecture is evaluated through simulations in the Simulink environment under conditions of obstacle avoidance and slope climbing. The results of these simulations demonstrate the effectiveness as well as potential of the proposed method in this paper.","PeriodicalId":295437,"journal":{"name":"2023 3rd International Conference on Computer, Control and Robotics (ICCCR)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126869634","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

Identification Method of Pleurotus Eryngii Cut Part Based on YOLO V5s 基于YOLO V5s的杏侧耳切块鉴别方法

2023 3rd International Conference on Computer, Control and Robotics (ICCCR) Pub Date : 2023-03-24 DOI: 10.1109/ICCCR56747.2023.10193899

Ziliang Zhong, Y. Yu, Bi Zhuo

引用次数: 0