2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)最新文献_第10页

Dynamic Optimal Scheduling of Microgrid Based on ε constraint multi-objective Biogeography-based Optimization Algorithm 基于ε约束多目标生物地理优化算法的微电网动态优化调度

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230079

Bo Li, Jue Wang, Nan Xia

引用次数: 1

Mobile Robot Localization Using Soft Sensor 基于软传感器的移动机器人定位

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9229997

Xiao Li, Dan Wang, Yancheng Liu, Zhouhua Peng

引用次数: 0

Application of Improved Artificial Bee Colony Algorithm in constant pressure water supply system 改进人工蜂群算法在恒压供水系统中的应用

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230243

Mingzhu Li, Xi Feng

{"title":"Application of Improved Artificial Bee Colony Algorithm in constant pressure water supply system","authors":"Mingzhu Li, Xi Feng","doi":"10.1109/CACRE50138.2020.9230243","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230243","url":null,"abstract":"Due to the hysteresis and non-linearity of constant pressure water supply control system, it is difficult to realize accurate control of water supply pressure. To address this problem, an IABC-PID control algorithm based on improved artificial bee colony algorithm is proposed in this paper. To address the shortcomings of the basic artificial bee colony algorithm, which converges slowly and is prone to local optimality, a full dimensional learning strategy is introduced in the neighborhood search of the employed foragers. At the same time, Gaussian variation and chaotic perturbations are introduced to enhance the local search capability and increase the population diversity, thus speeding up the convergence speed and improving the search accuracy. The simulation results show that the IABC- PID control algorithm outperforms the ABC-PID method in terms of convergence speed, search accuracy and operational stability. Compared with the response curve method, the IABC-PID algorithm has no overshoot, small adjustment time, better dynamic performance, steady-state performance and robustness. The algorithm provides a theoretical basis for real-time online PID parameter rectification of constant pressure water supply system and provides an effective means for energy saving and consumption reduction of pumps.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130361508","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 Method of Prediction for Transformer Malfunction Based on Oil Chromatography 基于油色谱法的变压器故障预测方法

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230296

Hao Wu, Yang Zhou, Chuanqi Yang, Hongmei Zhu, Dongxin Hao, Shuangzan Ren

引用次数: 5

Distributed Parameter Estimation Using Invariant Manifold Approach 基于不变流形方法的分布参数估计

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230115

Jingping Shao, Yangyang Chen

引用次数: 0

EEG Enhancement by Auto DNNs with Regularization of Spatial Feature Loss 基于空间特征损失正则化的自dnn脑电增强

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9229989

Fengjie Cao, Xuemei Xu, Peng Ouyang, Yipeng Ding, K. Sun

{"title":"EEG Enhancement by Auto DNNs with Regularization of Spatial Feature Loss","authors":"Fengjie Cao, Xuemei Xu, Peng Ouyang, Yipeng Ding, K. Sun","doi":"10.1109/CACRE50138.2020.9229989","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9229989","url":null,"abstract":"Electroencephalography (EEG) can be applied in medical diagnosis forecasts via using Brain-Computer Interface (BCI) technology. EEG signals are low voltage signals that are susceptible to various types of noise such as 50 Hz power frequency, noise between the electrodes and the skin and so on. In this work, an enhancement method for EEG data based on a deep neural network (DNN) architecture search method in which the spatial feature loss acts as a regularizer while training the end-to-end network for best noise removal effect is proposed. The proposed system realizes noise reduction by using DNNs, which employs an alternative objective function combining spatial feature loss with time-domain feature loss. The spatial feature can be obtained by Common Spatial Pattern (CSP) algorithm. Experimental results show that auto DNNs with regularization of spatial feature loss can efficiently eliminate the simulated noise in EEG data and makes the mean square error between predicted values and real values as small as 0.06. In addition, the proposed objective function outperforms objective function with single time-domain feature loss. Meanwhile, the number of parameters in auto DNNs is obviously less than other models by 81.7% to 94.2% and also less when using proposed objective function than not use it by 28.6%. These results demonstrate that proposed DNNs based method can reduce parameters and computation. Therefore the proposed method is promising for the wearable application and embedded scenarios.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641568","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 of A Novel Transformable Centaur Robot with Multilateral Control Interface for Search and Rescue Missions 一种具有多边控制接口的新型可变形半人马搜救机器人设计

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230311

Xiangxu Lin, Saifuddin Mahmud, S. Román, Alfred Shaker, Zachary Law, MinYi Lin, Jong-Hoon Kim

{"title":"Design of A Novel Transformable Centaur Robot with Multilateral Control Interface for Search and Rescue Missions","authors":"Xiangxu Lin, Saifuddin Mahmud, S. Román, Alfred Shaker, Zachary Law, MinYi Lin, Jong-Hoon Kim","doi":"10.1109/CACRE50138.2020.9230311","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230311","url":null,"abstract":"Increasing occurrences of natural and man-made disasters have driven the demand for search and rescue (S&R) robots. However, state-of-the-art S&R robots serve as specialpurpose machines with limited use cases. This is in part due to a lack of human-centered designs, particularly in multilateral control and human-robot interactions. Thus, we propose TeleBot-R2, a novel transformable centaur-robot. This robot extends our work presented at the 2018 World Robot Summit, a hybrid humanoid (immersive telepresence) robot with a multilateral control system. Our new version introduces a dual flipper caterpillar track base with an enhanced mechanically dynamic humanoid upper body. This transformer robot can contract into multiple configurations that change it’s support polygon and means of locomotion - allowing it to navigate more efficiently through different terrains. Operational awareness is heightened through a VR immersive control interface that interacts with an AI-assisted multilateral control system. This paper presents our mechanical design, control architecture, immersive interfaces, and AI-assistant.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"310 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127492012","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

Kinematic analysis of a fully-decoupled parallel manipulator with pure translations 纯平移完全解耦并联机械臂的运动学分析

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9229908

Qi Zou, Dan Zhang, Shuo Zhang, Xueling Luo

引用次数: 0

Research on Matching Method of Ocean Observation Data Based on DC-WKNN Algorithm 基于DC-WKNN算法的海洋观测数据匹配方法研究

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230223

Jie Chen, Yifan Hu, Hailin Liu, Bin Lv, Lin Cao, Hui Li

{"title":"Research on Matching Method of Ocean Observation Data Based on DC-WKNN Algorithm","authors":"Jie Chen, Yifan Hu, Hailin Liu, Bin Lv, Lin Cao, Hui Li","doi":"10.1109/CACRE50138.2020.9230223","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230223","url":null,"abstract":"According to the characteristics of ocean observation data, such as massive, heterogeneous, multi-source, multi-class and multi-dimensional, it is difficult to classify and match ocean observation data quickly and accurately with traditional KNN for large-scale integration. A method of ocean observation data matching based on density clipping and weighted KNN (DC-WKNN) is proposed in this paper. Firstly, according to the distribution density of training samples between different classes, the clipping rule is set up. It can cut out representative samples as new training samples, and reduce the calculation amount of traditional KNN algorithm, so that it can improve the efficiency. Then, according to the distribution characteristics of the training samples in the class, the weight assignment model is established. It can allocate the weight for each training sample and decrease the misjudgment of the boundary points far away from the center of the class, and improve the accuracy. A large number of experimental results based on the data set of the seafloor observatory network show that the calculation complexity is reduced by about 20%. And the accuracy of the algorithm is better than that of the traditional KNN and other improved algorithms. It has good performance for big data classification, especially for the classification of ocean observation data characteristics.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126202028","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

Construction of intelligent visual coal and gangue separation system based on CoppeliaSim 基于CoppeliaSim的智能目视煤矸石分选系统的构建

2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) Pub Date : 2020-09-01 DOI: 10.1109/CACRE50138.2020.9230077

Zhiyuan Sun, Dongjun Li, Linlin Huang, Biao Liu, Ruiqing Jia

{"title":"Construction of intelligent visual coal and gangue separation system based on CoppeliaSim","authors":"Zhiyuan Sun, Dongjun Li, Linlin Huang, Biao Liu, Ruiqing Jia","doi":"10.1109/CACRE50138.2020.9230077","DOIUrl":"https://doi.org/10.1109/CACRE50138.2020.9230077","url":null,"abstract":"Due to the energy composition of China rich in coal, poor in oil and low in gas, coal will continue to be the main energy source in China for a long time. In order to improve the intelligence level of coal mine and realize the efficient and clean utilization, coal and gangue sorting is the research focus of many experts and scholars. At present, the construction of the intelligent visual coal and gangue separation platform is complex, the algorithm effect is difficult to verify, and the research and development cost is high, which is not conducive to the progress of technology. In this paper, the intelligent visual gangue sorting system is built based on the robot simulator CoppeliaSim, combining the robot virtual simulation technology with intelligent coal gangue separation system. The modeling of the whole system is highly close to the real scene, and is coordinated with the software program, which lays a good foundation for the intelligent coal and gangue separation, provides a new way to solve the problem of system construction, and improves the level of intelligence by using virtual and real methods.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538035","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: 6