Advanced Materials Research Vols. 225-226

Abstract: Safety is of importance for power production. It is known that kinds of abnormal action in power production are concerned with objects. Different from many abnormal action recognitions researches, which ignore the interactive relationship between human and objects, this paper proposes an approach for the specific abnormal action based objects recognition in power production. The major contributions of the paper are to employ an object-based framework for description of hand-trajectory information, reference particle filter for primitive action locating and realize time cost decrease through human silhouette block analysis. Different from simplex trajectory based approach, the presented approach consists of types of trajectory features which belong to specific object and each primitive action is relevant to specific object model. It is verified by experiment that the approach performs on certain abnormal action recognition at an effective level.

Abstract: This paper points out that the coal-bed methane can not only cause gas outburst and explosion, but is also the greenhouse gas. At the same time, methane is un-renewable clean energy. In order to exploit methane effectively, the numerical simulation method was used to investigate the stress distribution and evolution during the process of mining the upper protective coal seam. The results match well with the filed experiment. The result revealed that the stress drops significantly and the cracks are much more developed in the “core stress relieved area” within 10 m in front of the coal face and -30 m behind the coal face, where the methane extraction concentration is usually more than 60%. The results have important significance on methane exploitation.

Abstract: Aiming to the shortcoming of traditional route protocols in cognitive radio networks, cognitive radio routing and optimal spectrum assignment (CRRSA) algorithm was proposed. In this paper, we consider the situation that non-interfering among the adjacent jump, and present the optimal allocation of available spectrum, and then calculate the bandwidth of end-to-end path, finally select the maximize bandwidth of end-to-end path as the best transmission route. Simulation results show that the End-to-End bandwidth of CRRSA is larger than that of traditional routing algorithm.

Abstract: The experiment to test the solar radiation intensity through borosilicate glass tubes with a variety of different radius of curvatures and different qualities are taken on condition that the solar radiation intensity is from 23 W/㎡to1022W/㎡. When the diameter increasing to 65mm from 58mm, the single high-borosilicate glass tube’s transmittance changes to 93.2% from 93.5% and double’s transmittance changes to 88.2% from 90.1% .When high-borosilicate glass tube’s wall thickness is uniform and non-uniform, the transmittance is nearly the same. We can decrease the sleeve’s diameter to 58mm and the of evacuated solar collector outer tube’s diameter to improve the thermal performance of the cooling tube.

Abstract: The current implementation of the synchro to digital conversion (SDC) can not directly detect harmonic which can cause the problem of low precision angle measurement. To improve accuracy of angle, harmonic interference was analyzed and summarized in the axis-angle to digital conversion process. Through detailed research, a new angle measurement formula is proposed in this paper, this formula can be very good for angle error correction and compensation. In order to meet the practical requirements, a software measurement method based on FFT algorithm of harmonic analysis and error correction is put forward. Matlab simulation shows that the formula and method is effective and feasible.

Abstract: In this paper, we study the new method of option pricing based on the risk preference. We define the equivalent classes of random events based on the historical information and the risk preference. The dynamic pricing model of power options has been studied. Applying the conditional density function of the stock price process, we have given the explicit solution of the model. And we analyze the influence of Hurst parameter on pricing formula.

Abstract: As far as we know, a little research of mining global maximum frequent itemsets has been done. The paper proposed an algorithm for mining global maximum frequent itemsets based on FP-tree, namely, AMGMFI algorithm. AMGMFI algorithm makes computer nodes computed local maximum frequent itemsets independently with DMFIA algorithm, then other computer nodes exchanged data with the center node, finally, global maximum frequent itemsets were gained. AMGMFI required far less communication traffic by the search strategy of top-down. Theoretical analysis and experimental results suggest that AMGMFI algorithm is effective.

Abstract: Traditionally it is widely accepted that there are gender discrepancies in using language. Nowadays with the fast development of Internet and widespread use of e-mail, the problem is proposed whether gender differences in the real-word communication exist in the virtual-world communication. Through reviewing the current researches done by Paolo Rossetti, Robert Kraut and so on, it is found that the gender-specific communication does exist in E-mail communication. And then reasons are explored for the existence of the phenomenon. Through analysis, it is found that male and female try to extend their different roles in real world to the virtual world. Men try to use technology to further their influence while women use it to nurture and develop close relationships.

Abstract: During process of objects tracking, problem of tracking box about marked objects is a major problem. Moreover, tracking of multi-objects are also difficult problems of objects tracking. This paper can tag object automatically through using motion vector of Mpeg2 to mark activities object of static video. Then, we extract multi-dimensional characteristics from initial goal of motion vector determined and made model. And accurately identify particles of larger weight to achieve purpose of accurately tracking objects through process of original value of particle filter matching observed value. As adopted methods of pattern classifying, so made feature matching between new particle and original particle are more accurate. The experiments show that the algorithm had good tracking performance and strong robustness.