Advanced Materials Research
Vol. 465
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Advanced Materials Research
Vols. 463-464
Vols. 463-464
Advanced Materials Research
Vol. 462
Vol. 462
Advanced Materials Research
Vol. 461
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Advanced Materials Research
Vol. 460
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Advanced Materials Research
Vol. 459
Vol. 459
Advanced Materials Research
Vols. 457-458
Vols. 457-458
Advanced Materials Research
Vols. 455-456
Vols. 455-456
Advanced Materials Research
Vol. 454
Vol. 454
Advanced Materials Research
Vols. 452-453
Vols. 452-453
Advanced Materials Research
Vols. 450-451
Vols. 450-451
Advanced Materials Research
Vols. 446-449
Vols. 446-449
Advanced Materials Research
Vol. 445
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Advanced Materials Research Vols. 457-458
Paper Title Page
Abstract: China's information technology has undergone 30 years of development just like other developing countries. Though the information technology of Chinese education, especially higher education has just gone through 10 years of development, it has made remarkable achievements in infrastructure, key technologies, information technology, and standards construction. However, compared with western developed countries and the development needs of higher education, there is a wide gap in the level of information in local higher education in China. Conscientiously summing up results, revealing problems and learning from experiences of developed countries will be conducive to accelerate the process of education information in China's local colleges.
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Abstract: In this paper, various amine-modified CO2 adsorbents were prepared by incorporating tetraethylenepenthamine (TEPA) onto SBA-15(P) by controlling dynamic impregnation process. The materials were characterized by X-ray diffraction (XRD), nitrogen adsorption/desorption, elemental analysis (EA) and Fourier transform infrared (FT-IR) experiments. Moreover, the adsorption capacities and cycle life were evaculated by CO2 temperature programmed desorption (CO2-TPD). Various characterization results indicate that the morphology and loading amount of TEPA on the support material were controlled by adjusting dynamic impregnation times. Under given conditions, there is an optimum dynamic impregnation times.
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Abstract: For the complex earth conditions and uncertain factors, the earth pressure balance (EPB) shield tunneling is a complicated and high-risk process. There would cause some faults, such as earth caking, soil occluding in the capsule, water spewing, surface settlement. To avoid them, this paper applies artificial neural network (ANN) to predict the common shielding faults. The neural network is trained by several samples about the tunnel boring machine’s (TBM) parameters, and then it will have self-learning to identify the fault. With the parallel computing ability, the network could detect and predict abnormal behaviors online. This paper includes three parts, firstly, the introduction of EPB, and four usual blockings; and then the principle of BP neural network is present, for the defect of BP algorithm, two kinds of improved BP algorithms are applied in the network; finally, an simulation is given to illustrate the prediction.
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Abstract: In order to investigate the performance of color difference formulae under different viewing conditions 144 pairs of sample around 17 color centers were designed and printed, and then assessed visually under four different viewing condition. STRESS values between the visual color difference and calculated color difference by five CIELAB-based color difference formulae CIELAB, BFD, CMC, CIE94, CIEDE200 were calculated. The result shows that the formulae have the similar performance but CIE94 is the best in all viewing conditions and CIELAB and BFD are the worst. All the color difference formulae have the best performance under illuminant D65 with illuminance of 1000 lx and gray background
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Abstract: Model predictive control is applied to suppress the vibration of a flexible link with piezoelectric actuators and strain gage transducer. The state-space dynamic model of the system was derived by using finite element method and experimental modal test. On the basis of the model, model predictive controller is designed taking into account the uncertain disturbance and measurement noise. The discrete prediction model is derived from the state-space equation of the system, and the future output is obtained from the model. The uncertain external disturbance and measurement noise are white noise signal, the Kalman filter estimator is designed to estimate the state variables of the system. A standard quadratic programming optimization problem is formed where the performance index function minimizes a quadratic performance function that trades off controller performance and control effort. The constraints are the control input voltage and its change rate. Finally, the optimization problem is solved to obtain the optimal control output. A MIMO control system is built using dSPACE DS1103 platform, and experimental tests are performed. The performances of the controller are verified experimentally. The results of experiment show the effectiveness of the controller.
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Abstract: Sparse decompression is a new theory for signal processing, having the advantage in that the base (dictionary) used in this theory is over-complete, and can reflect the nature of signa1. So the sparse decompression of signal can get sparse representation, which is very important in data compression. In this paper, a novel ECG compression method for multi-channel ECG signals was introduced based on the Simultaneous Orthogonal Matching Pursuit (S-OMP). The proposed method decomposes multi-channel ECG signals simultaneously into different linear expansions of the same atoms that are selected from a redundant dictionary, which is constructed by Hermite fuctions and Gobar functions in order to the best match the characteristic of the ECG waveform. Compression performance has been tested using a subset of multi-channel ECG records from the St.-Petersburg Institute of Cardiological Technics database, the results demonstrate that much less atoms are selected to present signals and the compression ratio of Multi-channel ECG can achieve better performance in comparison to Simultaneous Matching Pursuit (SMP).
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Abstract: This paper studies the military emergency logistics information construction. Firstly, the concept of the military emergency logistics information is put forward. And then, the sense of the military emergency logistics information construction is introduced. This paper regards building compatible military -civilian logistic information flat roof as the key of military emergency logistics information construction. And the principle, anticipated target, main function, construction tasks of the military -civilian flat roof is introduced. Based on these, the system composition is designed.
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Abstract: This paper analyzed the features of a new network architecture whose locator and identifier are separated, in order to improve the query and replacement efficiency of the identifier mapping, the backup of the locator/identifier mapping information needs storing in the most necessary place, which is a problem of cache management in fact .In this paper the typical cache management algorithms are analyzed firstly, and then a new aimed pushing and pre-fetching strategy is proposed according to the bidirectional interactive character of the communication activity in querying the mapping relationship, thus divided the Access Switch Router(ASR) cachespace into three section: Waiting_First_Access_Section (WFA), Frequently_Used_se- ction(FU) and Session_Duration_Section (SDU). And based on the identity mapping information reuse probability predicted by the Markov model, an information lifetime-based adaptive cache management algorithm is proposed. The simulation result shows that the performance of the buffer management algorithm proposed by this paper is better than those of the existing cache management algorithms such as LFU, LRU and LFU-LRU
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Design and Implementation of Support Production Logging Comprehensive Interpretation System Platform
Abstract: With the continuous development of logging interpretation technology, the basic information gathering from the logging, the logging documents and case knowledge, the result data from logging interpretation and so on are increasing massively, logging data management has gradually become an important oil-service management work. The Comprehensive interpretation of production logging support system platform develops in this paper, which major function lies in it provides an integrated platform for well logging data management, it provides software and data support for kinds of interpretation. At the same time it realizes the demand for process different data formats.
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Abstract: In order to deal with the control of a rigid spacecraft, a general technique to design advanced controllers for electrical transfer inner system of nonlinear plane was given, based on the generalized extended linearization model and symbolic language of Matlab. And the system with feedback-control-loop is equal to a linear system basically. Finally the corresponding linear system transfer function is given and the result of simulation has proved the specialties of this control method through the system indentification.
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