Advanced Materials Research Vols. 774-776

Abstract: Based on current research basis at home and abroad, in order to improve the level of safety technology and safeguard work efficiency, Internet of Things is brought into crane structural health monitoring. Crane structural health risk level evaluation criteria and structural health warning technology expert system are the two key aspects of the project. The mechanical properties of Q235 were studied and theoretical calculations were done by the technologies of ANSYS and ADAMS, finally the threshold was determined. Signals are collected by FBG sensors and transmitted to a demodulator, and then use software calculates the real-time stress by a formula we given in. Finally the real-time stress in different parts of the crane is acquired. If the real-time stress exceeds the allowable stress we set, it issues an alarm signal to the operators.

Abstract: In order to improve the accuracy of inversion and quality of imaging of seismic attribute in some targeted area, a new inversion solution is proposed in this paper. By introducing instantaneous seismic inversion and hybrid inversion, the new solution can establish the geological model commendably and thus can finely depict the detailed characteristics of the structure of the stratum. Empirical results show that interpreters can obtain more precise inversion result and clearer seismic profile when adopt this new inversion solution. Hybrid inversion can deduce more reliable wave impedance, Poisson ratio, elasticity value and other important parameters, which is meaningful to the identification of oil, gas, or gas hydrate.

Abstract: In order to improve the level of safety technology and safeguard work efficiency, software is developed. The software is divided into several functional modules: User information Management Module, System Settings Module, Information Collection and Transmission Module, Database Management Module, Data Analysis Module, Site Display Module and User Help Module. This paper focuses on the development and application of the system software. Sensors data is collecting by a FBG System, and directly send into Crane Structure Health Monitoring and Security Alarm Expert System via data filtering and data correction procedures. Users can access the expert systems data network and expert system can send warning or alarm information to user via Wi-Fi. Its the main part of the software platform. After software functional use cases,the next thing to do is the dynamic behavior of software modeling. The dynamic behavior is related to information exchange between users and software, software and peripherals.

Abstract: The standard program slicing of different slices is put into the fusion matrix of the optimal fusion to measure the consistent fusion of slices. In the biopsy of the actual fusion process, the slicing techniques with high consistent fusion and balanced fusion distribution are used to reasonably allocate each weight coefficient, and thus the final fusion estimation formula is obtained. We use slice fusion, path conditions, as well as the internal mechanism of software fault trigger and propagation, to construct the test constraint of a fault. It can help to direct high quality test case design and to evaluate the applicability of the adaptive random testing.

Abstract: Functionally graded WC-Co (FG WC-Co) offers superior combination of wear resistance, fracture toughness, and strength, and provides superior engineering performance over conventional homogeneous WC-Co. The cobalt gradient structure of the FG WC-Co, including the thickness of the gradient zone and the cobalt concentration distribution, have the great influence on its engineering performances. Measurement of cobalt gradient of the FG WC-Co was studied in this paper using an energy dispersive spectroscopy (EDS) technique. The result shows that the rectangular area scanning mode of EDS is suitable for evaluating the cobalt content distribution quantitatively in the FG WC-Co. Based on the cobalt content distribution curve, the thickness and the amplitude of cobalt gradient in the FG WC-Co can be measured easily.

Abstract: AS for the analog front-end (AFE) with charged-coupled devices for the scattered triangulation laser displacement measurement sensors (LDMS), surface roughness of objective and reflective optical routine have synergistic effects for AFEs precision and linear. The multiple reflection property resulted from different surface roughness characteristics and probability distribution of multiply scattered light in the optical images, were analyzed. To improve analog-front-ends signal-noise ratio and reduce the non-Gaussian noise, windowed cumulates projection of noise insensitive mean square error criteria, which is the strongly consistent identification algorithms with three order cumulants, is applied to high order statistics recursive least square adaptive filter. Simulation and the test results of experiment platform illustrate the performance of the proposed algorithm and accomplish the aim of multiple reflection cancellation.

Abstract: This paper provides an automatic barn-entering system for grains. Based on the technologies of microwave and PLC, the system may detect the grain moisture on line and control the directions of grain flows on conveyor. For the flows with moisture below the specified threshold, the grains may be made their way into the barn, otherwise rechannel the direction automatically and not permitted into the barn.Thus can avoid effectively grains' from going mouldy due to the high moisture content.

Abstract: A hand-shape image acquisition system based on DSP was designed for solving the problem of hand-shape recognition. Acquisition configuration was designed, and the key parts (encoder, decoder, memory chip etc.) were selected. Finally, development of image capture driver was put forward. The imaging information were transferred into analog video signal by CCD camera, and analog video signal decoded was transferred to video port of DSP, after that one frame processed image was transferred to display after being encoded. Consequently, the final output image can be observed in displayer. System performance was evaluated by classification accuracy rate and real-time of recognition, and the results shows that the method proposed is reliable and effective.

Abstract: To make robot more intelligence, this paper proposed a new image feature named as ROLD-map which based on Rank-Ordered Logarithmic Difference (ROLD), and this feature enable researchers understand images complication directly and accuracy. Experimental data show that it can recognize the sky, tree and road obviously with very little time through proposed feature. It provides the fundamental analysis for improving the precision of image recognition, and also gives the reference research for improving the precision of image recognition for the process of visual navigation of robot.

Abstract: This paper describes a new feature extraction method which can be used very effectively in combination with Cluster K-Nearest Neighbor (CKNN) and KNN Classifier for image recognition. We propose handwritten English character recognition using Fermat's spiral approach to convert an image space into a parameter space. The system is implemented and simulated in MATLAB, and its performance is tested on real alphabet handwriting image. Fifteen (15) alphabet classes were created to carry out the experiment. Each class contains 9 alphabets {a, b, c, d, e, f, g, h, i}. The total of 15x9=135 alphabet images are captured under fixed camera position and controlled energy light intensity. The experimental results give a better recognition rate, 76.19% for KNN and 95.16% for C-KNN with reducing the overall data size of the transformed image. The relationship between the accuracy and k is investigated. It seems that when k goes from 1 to 9, the accuracy decreases linearly. The result of this investigation is a high performance character recognition system with significantly improved recognition rates and real-time.