Information Technology for Manufacturing Systems

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Authors: Feng Ying Guo
Abstract: It introduces the design and implement of image information indentify system. Through the image color turns to gray process, the image reduces miscellaneous bits process and the image enhanced process; the magnetic images on the cannonball are showed clearly on computer. And then through indentify and contrast technology, cracks on the cannonball can easily to be judged. The productivity is improved.
Authors: Yao Xiang Li, Li Chun Jiang
Abstract: Back-propagation (BP) algorithm of artificial neural network (ANN) was applied to tree height prediction of Larch plantation in northeast China by taking logsigmoid function of logsig and linear function of purelin in Matlab as the neural functions. One input variable of tree diameter and one output variable of tree height was used in the model with one hidden layer of 5 hidden neurons. Model developed was evaluated graphically and statistically. Results showed that model performs well with mean square error (MSE) of 0.130901 and model precision of 97.6%. The graphical comparisons between the actual measured data and the network predicted output clearly demonstrate very good agreement between the actual and predicted performance.
Authors: Youngon Cho, Saeha Jeon, Gui Young Choi
Abstract: Mobile convergence has brought about many changes in the modern society. Especially, combining strengths of existing mobile phones and PDA functionality, smart phone is able to overcome the time and location limitations that existing desktop did not meet. This study tried to examine factors influencing intention to use of smart phone based on the theoretical studies on technology acceptance model. Applying to smart phones relevant theoretical relations extracted from previous theoretical research background on mobile devices, mobility, interactivity, innovativeness, social influence and job fitness were selected as independent variables of acceptance factors of smart phone and then research model and hypotheses were established by using these variables. To verify the hypothesis on whether smart phone acceptance factors have a significant influence on perceived ease of use and perceived usefulness, innovativeness was in significant influence on perceived ease of use, social influence was in significant influence on perceived usefulness and mobility and interactivity were in significant influence on both variables. As a result of analysis on perceived usefulness and intention to use, the mediating variables of perceived ease of use was in significant influence on perceived usefulness and perceived usefulness was in significant influence on intention to use.
Authors: Youngeun An, Ji Min Lee, Jongan Park
Abstract: This study deals with how to retrieve images using a rearranged chain-code based column vector. The chain-code expresses objects or boundaries of areas in straight chains with fixed direction and length, and encodes the final boundary, which is sensitive to rotated images. This study, therefore, works with chain-codes of eight directions in images and uses differences between values of chain-codes to obtain newly-rearranged chain-codes for image retrieval.
Authors: Rui Ding, Yong Qin Hu, Wei Gong Zhang, Bo Yang
Abstract: The characteristics and limitations of the buses, which are widely used nowadays, are analyzed in this paper. Because these buses don’t adapt to the high-reliability embedded computer system, a novel bus is proposed which is characterized by its high-reliability. And its capacity is reached through its unique datum’s dynamic reconfiguration mechanism. The basic architecture and communication protocol are presented in this paper. And then the key points during realization of this bus are discussed. Finally, the probably application scope and prospects are indicated.
Authors: Xi Gao, Hai Zhu Chen
Abstract: Spiking neural P systems are a new computing model incorporating the ideas of spiking neurons into membrane computing. It has been shown that they have powerful computational capability and potential capability in solving computationally hard problems. The paper describes the implementation of signed integer arithmetic operations on spiking neural P system with the inputs and outputs encoded as appropriate sequences of spikes. The present work may be considered as the basis for more complex applications, maybe for constructing computer chips or for solving general mathematical problems.
Authors: Chao Wang, Feng Su, Yun Peng Han
Abstract: A pseudo-random phase-coded quasi-CW radar signal processor is designed,and implemented based on a parallel signal processing platform. Distance sidelobe and “echo eclipse” are two problems inherent to the phase-coded quasi-CW radar. In this paper, “Code agility” method is used to suppress the distance sidelobe, which has good performance even when the radar echo is badly eclipsed. Software of the radar signal processor is characterized by pipelined processing, and the DSP program is based on real-time operation system. Results of the field experiment verify the correctness of our design.
Authors: Wei Huang, Yi Xin Yin, Shan Ding, Jie Dong, Xue Ming Ma, Long Zhang
Abstract: Artificial neural networks are applied to multi-sensor information fusion (MSIF) in obstacle-avoidance system of mobile robot. BP and RBF networks are presented, and comparison is made in the simulation experiment. Results show that RBF network is more effective to deal with information of multi-sensor. It can become an important method for multi-sensor information fusion.
Authors: Kai Xiang Peng, Jun Zhang, Jie Dong
Abstract: The design of BOF in Jiangyin Xingcheng Special Steel Co. Ltd is based on static and dynamic model. The BOF end-point carbon content and temperature are predicted by means of BP neural network. On basis of that, the consumption of material, output of static model, are regulated according to the prediction result. The shortcoming that the theory on static model is imperfect is overcome. The end-point hit rate is raised effectually in industrial practice.
Authors: Rong Gang Wu, Mei Guo Gao, Jin Liang Gai, Jin Liang Bai
Abstract: As any linear antennas can be considered to be comprised of a large number of dipole antenna, therefore the study of dipole antenna characteristics has a very important significance to the application of the general linear antennas. In this paper, Firstly, the radiation field of the dipole antenna is analyzed, and then the radiation field mathematic model of a specific structural antenna is established. The antenna is composed of two orthogonal half-wavelength dipoles, and the current phase of one dipole is advanced the other by 90°. According to the polarization theory of electromagnetic wave, the polarization of this antenna is discussed. The antenna pattern mathematical formula is deduced in horizontal and perpendicular plane, and the antenna pattern is given in graphics. Finally, a new method is introduced that the directivity of horizontal polarization component can be enhanced by increasing the number of antenna elements in the vertical plane, the simulation result show that this method not only enhance the energy of horizontal direction, but also restrain the radiation of other direction.

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