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Simulation and Analysis of Orthodontic Archwire Bending Robot
Yongde Zhang,Xiaohong Jia,Jingang Jiang,Yi Liu,Yong Wang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8
A 3D mathematical model of orthodontic archwire with rectangular curve is established. Simplified 3D solid model of orthodontic archwire bending robot, which is consistent of bending die, support structure and archwire are established by Creo software, then the simplified model of bending die is put into ANSYS Workbench. Material parameters the contact condition and boundary conditions are set reasonably for the model. Based on the finite element analysis method, the calculation and analysis of the nonlinear contact problem of archwire and bending die, besides the stress distribution of curve bending and bending die is got. This provides the reference for optimal design of bending planning and bending die.
Simulation Analysis of Stereo Garage Control Algorithm based on ADRC
Yongde Zhang,Tongning Shi,Lei Wang,Jingguo He,Daifu Tian 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.6
With the rapid growth of car ownership, "parking" has gradually become the hot issue of society in general. At present, people widely used stereo garage because it took small area, which had a high space utilization, and convenient operation. However, due to internal instability of three-phase asynchronous motor parameters and load disturbance factors such as fluctuations, it led to a poor robustness of the control system. Therefore, we build a system of first order mathematical model using Simulink based on Active Disturbance Rejection Control (ADRC) and made the simulation analysis by the analysis of the controller structure and algorithm. And through the comparison with the traditional PID control, we implementated the signal fast response optimization design and control overshoot.
Needle Deflection during Insertion into Soft Tissue Based on Virtual Spring Model
Haiyan Du,Yongde Zhang,Jingang Jiang,Yanjiang Zhao 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
Needle insertion is the most common procedure of minimally invasive interventions. During insertion into a soft tissue, the needle with bevel tip can deflect due to the asymmetric forces acting on the tip of the needle. In this paper, a mechanics-based model is developed to predict the needle deflection. In the model, the needle is considered as a cantilever beam supported by a series of nonlinear springs each of which has stiffness different from each other. The value of stiffness can be calculated by cutting force acting on the needle tip. Based on the model and the analysis of cutting force and friction force, Rayleigh-Ritz method is used to estimate the amount of needle deflection. Experiment shows that the simulation model can accurately predict the deflection of the bevel-tipped needle.
Improved Multi-objective Genetic Algorithm Based on Parallel Hybrid Evolutionary Theory
Zou Yingyong,Zhang Yongde,Li Qinghua,Jiang Jingang,Yu Guangbin 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
Based on the analysis on the basic principles and characteristics of the existing multi-objective genetic algorithm (MOGA), an improved multi-objective GA with elites maintain is put forward based on non-dominated sorting genetic algorithm (NSGA). NSGA-II algorithm theory and parallel hybrid evolutionary theory is described in detail. The design principle, process and detailed implementations of the improved MOGA are given. IMNSGA-II algorithm and NSGA-II algorithm are applied to test the performance of the two algorithms for different test function, experiments of example are preformed. Experimental results show that the improved MOGA achieved the optimal between the convergence and diversity.
Research on the Wear Mechanism of Ceramic Tool in Turning of Nickel-based Superalloy GH4169
Yubo Liu,Yongde Zhang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12
The dry cutting experiment for nickel-based high temperature alloyGH4169 was conducted with Al2O3- SiCw whisker toughening ceramic blade WG300 and Si3N4-Al2O3 ceramics (Sialon) blade SX9. The main wear mechanism of ceramic cutting tools were analyzed by means of observing the wear morphology about cutting tools with scanning electron microscope, and measuring concentration of each element in wear tiny region lying in the ceramic tools with Energy Dispersive Spectrometer(EDS). The results show that the main wear mechanism of ceramic cutting tool was presented by cohesive wear, abrasive wear and oxidation wear. Cohesive wear occurs mainly on the rake face and were influenced by the contact stress state between the contact points of cutting tool and workpiece material.
Research of Chinese Handwritten Text Segmentation Algorithm
Zou Yingyong,Zhang Yongde,Cao Xinyan,Yu Guangbin 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12
OCR is a complicated process, there are many factors that can influence the recognition rate. Early period people tried to optimize the classifier to obtain high recognition rate, but the premise is that there is only one character no matter print or handwritten. For the performance of classifier has been promoted a lot, recognition rate for single character is high enough for commercial use. With the development of the demand for handwritten text recognition, how to raise the recognition rate of OCR system becomes very important. Unlike OCR system for print which focus on classifier. The research of OCR system for handwritten text is mainly on character segmentation. Statistical analysis showed that the mistake made by missegment is more than the mistake made by classifier. This is decided by the feature of handwritten text. There are more randomness and the lines are not horizontal, besides that, handwritten Chinese characters are more like overlapped and the gaps between characters are smaller. So this is the difficulty of handwritten Chinese characters. In this paper, the mutil-step searching nonlinear line exaction algorithm the paper proposed is easy and the accuracy is high, which can tackle the some weaknesses of direct projection method and indirect projection.
Research on Algorithm for Automatic License Plate Recognition System
Zou Yingyong,Zhai Jian,Zhang Yongde,Cao Xinyan,Yu Guangbin,Chen Juhui 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
License plate recognition belongs to the field of computer vision and pattern recognition, and plays an important role in the field of intelligent transportation. The license plate location is a key technology in license plate recognition, the accurate positioning of a license or not directly affects the accuracy of character segmentation and character recognition, and has a direct impact on the efficiency of the license plate recognition system. In this paper, based on knowledge acquisition and knowledge reduction ability of rough set, as well as learning ability and generalization ability of neural network, a plate positioning system is constructed. On this basis, combined the rough set with neural networks and fuzzy logic, a rough fuzzy neural network recognition is proposed. The experimental results show that this system not only simplifies the structure of the system, but also improves the generalization capability of knowledge, and improves the accuracy of character positioning.