International Conference on Cybernetics, Robotics and Control最新文献_第2页

A Vision Method for Rapeseed Amount Measuring 一种目测油菜籽量的方法

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC51253.2020.9253481

Lingmin Liu, Jing Hu

引用次数: 0

Secured Tracking and Tracing System Based on Blockchain Technology 基于区块链技术的安全追踪系统

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC50527.2021.9392440

M. Montaser, S. H. Othman, Raja Zahilah Raja Md Radzi

{"title":"Secured Tracking and Tracing System Based on Blockchain Technology","authors":"M. Montaser, S. H. Othman, Raja Zahilah Raja Md Radzi","doi":"10.1109/CRC50527.2021.9392440","DOIUrl":"https://doi.org/10.1109/CRC50527.2021.9392440","url":null,"abstract":"Tracking and tracing management is a system which require recording of product’s related information associated with product movement, shipping, transition between location until the product reach its final destination. In this management, traceability is a critical element to be satisfied by the business processes. Tracking and tracing of product is important for many purposes from the time product start its order process, prepared, shipping, movement from one delivery stakeholder to other delivery stakeholder until the product reach its destination. This is where we found the effectiveness of technology that is called the blockchain that could increase the safety of all tracking management processes. The blockchain technology since it emerges has contributed to many wide ranges of applications from various fields where safety and trust are critical in the field business process. Through this research, we are willing to present the contribution which can be offered by blockchain that obviously can increase the safety such like other tracking technology such as the use of QR-code, RFID, man-to-man delivery and few others.","PeriodicalId":300065,"journal":{"name":"International Conference on Cybernetics, Robotics and Control","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121576832","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

Process Analysis and Simulation of Complex Parts 复杂零件的工艺分析与仿真

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC51253.2020.9253498

Xuerui Chen, Wei Li, Xiaolei Li

引用次数: 0

Research on the Factors Influencing the Intention to Use Intelligent Teaching Tools under the Integrated Model 综合模式下影响智能教学工具使用意愿的因素研究

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC51253.2020.9253491

Yaning Wang, Xiaoshuang Xu, Jun Zhang, Kebin Huang, Feng Wang

引用次数: 0

Numerical Simulation and Analysis of Electronic Jet Printing Injection Process 电子喷射打印注射过程的数值模拟与分析

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC51253.2020.9253474

Tao Xiong, Qingwei Zhang, Zicheng Li, Houneng Wang

引用次数: 0

Improving Particle Swarm Optimization of Its Convergence 改进粒子群算法的收敛性

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC51253.2020.9253464

Zuyuan Huang, Guohong Yi, Bangbang Liu

引用次数: 0

Multi-Objective Electric Truck Path Optimization Model with Time Window 带时间窗的电动卡车多目标路径优化模型

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC.2019.00034

Y. Qi, Yinuo Huang, Yuanyuan Ye, Wanli Wang, Yaping Fu, Kai Wang

引用次数: 2

Research on Fast Measurement Method of Borehole Trajectory Based on Fiber Optic Gyro MWD System 基于光纤陀螺随钻测量系统的井眼轨迹快速测量方法研究

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC.2017.41

S. Gao, Pan Wu, Ling-ling Li

{"title":"Research on Fast Measurement Method of Borehole Trajectory Based on Fiber Optic Gyro MWD System","authors":"S. Gao, Pan Wu, Ling-ling Li","doi":"10.1109/CRC.2017.41","DOIUrl":"https://doi.org/10.1109/CRC.2017.41","url":null,"abstract":"The measurement-while-drilling (MWD) system usually uses the fluxgate, which can be sensitive to the earth magnetic field, to measure the borehole trajectory, but it is easily disturbed by the external magnetic field and has low measurement accuracy. The fiber-optic-gyroscope (FOG)-based inertial navigation system (INS) has the advantages of anti-electromagnetic interference. It can improve the measurement accuracy of MWD. Using the analytic coarse alignment method of INS to measure the borehole trajectory requires the downhole instruments to be completely stationary and takes more than three minutes. But in the process of drilling, it is difficult for the instruments to keep completely static. If the static time is too long, it is very easy to cause downhole accidents. Therefore, in order to realize the project of FOG-Based MWD system, the fast measurement method of borehole trajectory must be researched. This paper presents a method of inertial frame alignment based on gravity information, which can reduce the effects of disturbances by using the integral of gravity information. The swing and sliding downhole motions are simulated to verify the algorithm. The results show that in the low frequency swing environment, the azimuth of the analytic coarse alignment oscillates in the range of 0° to 180° and the azimuth accuracy of inertial frame alignment is better than 2° at 100s. In the sliding experiment, the azimuth convergence time of inertial frame alignment is 60s and the precision is 0.6° at 120s. The new method can meet the requirement of the fast measurement of borehole trajectory.","PeriodicalId":300065,"journal":{"name":"International Conference on Cybernetics, Robotics and Control","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115465081","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

The Analysis of Key Technologies for Advanced Intelligent Quadruped Robots 先进智能四足机器人关键技术分析

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC.2019.00023

R. Dang, Chenxing Jiang, Ning Li, Zh G Liang, Honglei Zhao, Bo Su

引用次数: 2

Model in Frequency-Domain Identification of a Fast Steering Mirror System Based on Levenberg-Marquardt Algorithm 基于Levenberg-Marquardt算法的快速转向后视镜系统频域识别模型

International Conference on Cybernetics, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1109/CRC.2017.10

Peng Chen, Yanbing Liang

{"title":"Model in Frequency-Domain Identification of a Fast Steering Mirror System Based on Levenberg-Marquardt Algorithm","authors":"Peng Chen, Yanbing Liang","doi":"10.1109/CRC.2017.10","DOIUrl":"https://doi.org/10.1109/CRC.2017.10","url":null,"abstract":"A method for frequency-domain identification of a fast steering mirror system is provided. The method firstly uses swept sine as dynamic excitation signal to obtain the frequency characteristics of controlled object and frequency response data by dynamic signal analyzer Agilent 35670A. Then the paper uses data pre-processed to analyze magnitude-phase characteristics based on FFT (Fast Fourier Fransform). The error of FFT calculation is relative major. To obtain the frequency characteristics approaching to real system, windowing and Sample Hold is introduced to modify magnitude-phase characteristics. For non-parametric frequency characteristics curve of the system, in combination of Levenberg-Marquardt nonlinear least squares curve fitting and transfer function model based on dynamic mechanism modelling, this paper implements curve fitting for low frequency band with frequency characteristics. With this method, the frequency characteristics of complex system can be converted to accurate transfer function. Levenberg-Marquardt algorithm providing the theoretical support for parameterizing BODE diagram is an optimization strategy. The optimization strategy improves the matching degree between actual system and model system in process of modeling and it is provided for the compensation of the influence which is from the temperature shift and measurement error of components. The paper provides a theoretical foundation for building a more complex electro-optical tracking system.","PeriodicalId":300065,"journal":{"name":"International Conference on Cybernetics, Robotics and Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125016212","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: 4