Advanced Materials Research
Vol. 1020
Vol. 1020
Advanced Materials Research
Vol. 1019
Vol. 1019
Advanced Materials Research
Vol. 1018
Vol. 1018
Advanced Materials Research
Vol. 1017
Vol. 1017
Advanced Materials Research
Vol. 1016
Vol. 1016
Advanced Materials Research
Vol. 1015
Vol. 1015
Advanced Materials Research
Vol. 1014
Vol. 1014
Advanced Materials Research
Vol. 1013
Vol. 1013
Advanced Materials Research
Vols. 1010-1012
Vols. 1010-1012
Advanced Materials Research
Vols. 1008-1009
Vols. 1008-1009
Advanced Materials Research
Vols. 1006-1007
Vols. 1006-1007
Advanced Materials Research
Vols. 1004-1005
Vols. 1004-1005
Advanced Materials Research
Vol. 1003
Vol. 1003
Advanced Materials Research Vol. 1014
Paper Title Page
Abstract: Motor plays an important role in industrial areas. It is necessary to get the motor parameters and performance indicators by a series of experiments before they are used. For motor test hardware platform, a software based on LabVIEW is designed. It has an easy-operating interface and makes an experiment easy and automatic. Experimental results show that the software has good practicality.
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Abstract: For the current smart building energy control algorithms are still large energy loss, poor energy-saving effect and other issues, this paper presents a fuzzy neural network algorithm based on improved BP algorithm, the improved algorithm of BP neural network algorithm first reverse dissemination and weighting coefficients are adjusted to accelerate the convergence rate of the original algorithm, and then build the improved BP neural network algorithm for fuzzy neural network, and then to improve it fuzzy membership function parameters to improve the efficiency of fuzzy neural network learning. Simulation results show that the proposed fuzzy neural network algorithm based on improved BP algorithm in the intelligent building energy control, with the algorithm is better than traditional BP neural network energy savings, reducing the energy loss rate.
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Abstract: As major areas in the world have been protected with surveillance information with the development of wireless communication technologies, underground mines are still hit by frequent accidents due to insufficient monitoring and sensing, which would be improved with implementation of Internet of Things (IOT). However, a low-power, high reliability wireless communication equipment integrated with personnel localization, underground gas monitoring and IOT functions has not been implemented to enable underground IOT. Having explored wireless technologies and underground communication technologies, we propose in the paper the design of a communication system incorporating wireless call, gas monitoring, personnel localization functions through the integration of ZigBee (IEEE802.15.4) and Ethernet. This system has been realized and tested under laboratory conditions. The system was accepted by China coal mines in principle for application in their coal mine production line.
333
Abstract: For a novel electric clutch actuator, a nonlinear feedforward-feedback control scheme is proposed to improve the performance of the position tracking control. The feedforward control is designed based on flatness in consideration of the system nonlinearities, and the linear feedback control is given to accommodate the model errors and the disturbances. Lookup tables, which are used to represent nonlinear characteristics of the actuator systems, such as friction force, appear in their original form in the designed feedforward controller. The designed controller is evaluated through simulations and experimental tests, which show that the proposed controller satisfied the control requirement. Comparison with PID control is given as well.
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Abstract: In the steam generator with water level control system of nuclear power plant, there are various uncertainties in the controlled devices. Any actual system had certain nonlinear. Because of the steam generator is very important equipment in nuclear power plants, water level control plays a decisive role for the safe operation of nuclear power plant and it required stable operation and fast response of the whole system. For the highly complex, non-linear system , the traditional cascade PID control had been used cannot obtain satisfactory control effect, this paper try to use RBF neural network to optimize the PID parameters. The simulation experiments show that: the rbf neural network optimized controller made the control system’s robustness and control quality superior than the traditional PID controller, and described the method can be applied more widely.
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Abstract: Underground communication system can be organized as a delay tolerant network (DTN), where delay analysis is of importance. In this paper, we derive the analysis method of block delivery delay in underground DTN using network coding. Unlike existing works that only use the contact-based model, we adopt the random walk on 2-D grid model as our mobility model. We define the innovativeness of a node as the number of new packet it can bring to the destination and derive the network state dynamics based on this definition. The simulations show that our analytic approach has better prediction to the delay performance.
351
Abstract: This paper deals with robust synchronization of a class of uncertain fractional-order complex networks. Robust stability criteria of uncertain fractional-order system with is investigated based on LMI technique. Furthermore, robust synchronization of uncertain fractional-order complex networks is discussed based on the LMI technique. Finally, numerical example is given to illustrate the effectiveness of the proposed methods.
355
Abstract: Retracted paper: In order to realize the fast and accurate communication between AB SLC500 PLC and Profibus network, this thesis studies the Profibus protocol and develops the Profibus application program in the Flex I/O module. Thus the communication between SLC500 PLC and Profibus network is realized. Compared with the applying of SLC500 to control the other equipments and network, the applying of the Flex I/O module promotes the controlling efficiency and responding rate and realizes the complete control of the controlling system. The result of this research shows that this plan can ensure the accuracy, reliability and efficiency of the data transported.
359
Abstract: Automatic splicing technology is all important research field of image processing, and has become a research focusing on the computer vision and computer graphics,and has important practical value in the fields of image splicing processing, medical image analysis and so on.On the basis of a linear transition method, this paper presents an algorithm which realizes to diminish the seams in overlap region according to the content of scenes.This algorithm avoids manual intervention during the mosaic process.With the help of automatic splicing technology based on the overlapping areas linear transition, the requirement of seamless image splicing can be met. 1.Introduction
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Abstract: This paper presents a method for measuring total station coordinate traverse, and the method of using indirect adjustment and rigorous indirect adjustment with restrictions Based on Visual Studio 2010 programming environment ,use C # programming language,GDI + graphics processing and software engineering technology to research related program design.The Program is designed to achieve the automation, intelligence and high precision of outcome traverse adjustment.
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