Advanced Materials Research Vols. 433-440

Abstract: Impact loads in large iron and steel enterprise bring the power system reactive power impact, which makes the fluctuation of the system voltage, power factor and other parameters are out of the limitation of the national standard. Substation bus reactive load forecasting in large iron and steel enterprise can be introduced to determine reactive power optimization strategy and the switching of capacitors. In this paper, a combination forecasting model of quadratic self-adaptive exponential smoothing (QSES) model and converse exponential (CE) model has been proposed for substation bus reactive load forecasting. The numerical results in Jinan iron and steel Group show the application of this model is encouraging. Introduction

Abstract: In this paper, a feature extraction strategy based on multiple color information fusion was proposed. Firstly this method started with analyzing the transform formula of color space, which transform was mainly thinking about RGB color space to other color spaces. Secondly by analyzing the characteristic of every color space in describing the actual color information, the advantages and disadvantages of every color space were showed. Thirdly through above conclusion, the algorithm which extracted the target feature only using single color information was defective, and then the strategy based on multiple color information fusion was proposed. Lastly the detail fusion strategy was given, which fused the probability distributed information of multiple color into the last probability distributed information as the target feature. The feature extraction strategy in this paper is verified by the camshift algorithm. The results show that the multiple color information fusion can improve the tracking performance of moving target.

Abstract: Small agricultural machinery with forward and reverse-rotational rotary blades was proposed for solving the problem of cultivation with compacted soil. Lagrangian smoothed particle hydrodynamics (SPH) based models of forward and reverse-rotational rotary blades were carried out using the LS-DYNA software. SPH is a mesh free method, thus large material distortions that occur in the soil cutting problem are easily managed. In most earth moving machinery, such as bulldozers or tillage tools, the working tool is a blade. Hence for tillage systems, accurately predicting the forces acting on the blade is of prime importance in helping to enhance productivity. Structural parameters of reverse-rotational rotary blade were studied and optimized with orthogonal test and numerical simulating technology. Results show that forward and reverse-rotational rotary tool can independently work for the cutting of compacted soil with different operating resistance. It is perfectly feasible to apply the proposed composite rotary tiller to compacted soil deep-tilling with low power motor. Proper structural parameters of forward and reverse-rotational rotary blades can reduce the power consumption. This method provides theoretical basis for the design of tools.

Abstract: A new method for solving the stereo matching problem in the presence of large occlusion is presented. This method for stereo matching and occlusion detection is based on searching disparity point. In this paper, we suppose that a pair of epipolar-line images is a projection of a group of piece-wise straight lines on the left and right images respective. Therefore the disparity curve corresponding to a pair of epipolar-line images may be approximated by a group of piece-wise straight lines. Then the key of solving disparity curve is how to get the “characteristic points” on the group of piece-wise straight lines. Based on this view, we fetched out the conception “disparity point”, and three kinds of special disparity points are correctly corresponding to the “characteristic point”. By analyzing intensity property of a disparity point and its neighbor points, an approach which combines stepwise hypothesis-verification strategy with three constraint conditions is devised to extract the candidate disparity points from the epipolar images.

Abstract: Rural building models were tested to research the action of flood on buildings, three different water heights with 0.6, 0.9 and 1.2 meters were applied to this experiment to simulate small-scale, medium-scale and large-scale flood respectively. The model was placed at 3, 6 and 9 meters far from the floodgate. In this paper, the effect of the water height and the distance between model and floodgate on the values and distributions of the flow pressure are studied. Some conclusions can be drawn: the flow pressures, force and bending moments of the flow surface increase with the increasing water height and the relationship are approximately linear; the values and distributions of the flow pressure are independent of the floodgate distance and the force and bending moment of the flow surface increase with the distance from 3 meter to 6 meter but decrease with the distance from 6 meter to 9 meter.

Abstract: The computational cost of kernel discrimination is usually higher than linear discrimination, making many kernel methods impractically slow. To overcome this disadvantage, several accelerated algorithms have been presented, which express kernel discriminant vectors using a part of mapped training samples that are selected by some criterions. However, they still need to calculate a large kernel matrix using all training samples, so they only save rather limited computing time. In this paper, we propose the fast and effective kernel discriminations based on the mapped mean samples (MMS). It calculates a small kernel matrix by constructing a few mean samples in input space, then expresses the kernel discriminant vectors using MMS. The proposed kernel approach is tested on the public AR and FERET face databases. Experimental results show that this approach is effective in both saving computing time and acquiring favorable recognition results.

Abstract: The reactive current detection methods in reactive power compensation device based on instantaneous reactive power theory were discussed in the paper. By analyzing the quality of various kinds of harmonious and reactive current detection methods in power system, and according to different compensation requirement, two reactive current detection methods ip-iq method and Hilbert method were adopted. Then it gives simulations on these two models to analyze their comprehensive performance of both stable state and dynamic state. Finally, gives a verification under a IC hardware platform.The result shows that these two methods can well inspected the three-phase reactive current, and then to complete the system compensation.

Abstract: A kind of C-type of traveling wave location method is proposed in this paper. After the single phase grounding fault happened, inject a high voltage narrow pulse signal into the fault phase line and the normal one respectively, collect the reflected signals at detection point, make this two signal waveforms subtract and find the corresponding time of fault point characteristic wave, calculate the fault distance by using location equation. Conduct wavelet packet decomposition and reconstruction on the waveform subtraction signal, judge the fault section by comparing energy changed values of node characteristic waves.

Abstract: It’s absolutely necessary to create distributed test system for distributed UUT. However, distributed test systems constructed by the existing test bus products such as GPIB, VXI, PXI and LXI are all wired communication network based, which cannot satisfy certain test requirements. In this paper, on the basis of research about wireless communication network expansibility of modern test instrument, the thesis puts forward wireless distributed test system based on WLAN, introduces topology architecture, MAC layer protocol and physical layer technology, and presents some solutions on the key issues such as real-time, clock synchronization and trigger synchronization, etc. As for clock synchronization, the paper describes synchronization mechanisms based TSF, TINY/MINI-SYNC algorithm and IEEE 1588 precise time protocol, and for trigger synchronization it presents methods based on command, event and time, etc.

Abstract: In view of the shortcoming of driver state detection system which may take turn behavior as driver distraction, a new method to recognize turn behavior was proposed based on video images analysis. The driver hands position in different driving behavior were analyzed and we found that the position of driver’s hands changed more violent when in turning than in other driving behavior. So we may use standard deviation of driver hands position to recognize driver turn behavior. In order to improve the hands locating speed the Particle Filtering was used to track the driver hands. And experiments resulted that the recognition algorithm can identify the driver's turn behavior.