Advanced Materials Research Vols. 179-180

Abstract: In the paper, the first introduced multifractal features of image, and defined some measures; then described procedures of the edge extraction algorithm; the final analyses the results of experiment and selection criteria commonly used in multifractal, proposing a different multiple fractal image, the algorithm has excellent effect on edge extraction, highlights the detail information of the main edge.

Abstract: the paper exposits the purpose and the significance of the wind jig dry coal preparation technology, discuss the working principle and control methods of the wind jig dry coal preparation system. . Based on the dynamic data of the physical density, the control system auto tunes the speed of the opening by utilization of a frequency governor. Therefore, it controls the thickness of the beddepth very precisely and achieves the close loop control in the dry preparation system of coal dressing.Make use of adjustable air pressure and mechanical vibrations of materials according to the density and the particles on the sorting bed for loosing and layered, and using adjustable nesting institutions coal particles of different densities to classify, in order to achieve separation, refuse dumping, desulfurization purposes.

Abstract: Compared with traditional deterministic structural static analysis, it is more practical that strength reliability analyses for bus body frames involving uncertainties in material and in geometrical parameters. In this paper, basic theories of structural reliability combined with bus driving characteristics, the concept of strength reliability for bus body frames and calculation method based Monte Carlo method are proposed. The formula of sensitivity of performance function to random variables is derived. Strength reliability figured for a bus body frame is 0.999626851 in the case of running with uniform velocity. Main random variables which effect on strength reliability are found via sensitivity analysis. All of works done can be applied to bus body frame designs based reliability.

Abstract: To study the industrial technology for application of the C100 High strength and high performance concrete which is in freezing shaft lining of thick overburden, the industrial test of the shaft wall of high strength and high performance concrete is carried out under the engineering background of auxiliary shaft in Yuncheng coal mine of Juye coal mining area in Shandong Province. The verified laboratory testing results comported with the results of industrial technology from macro-mechanics, failure fractal, resultant morphology and pore characteristics. And the quality control system of high performance concrete and construction technology can be established. The results show that the experimental formula and construction technology of C100 high strength and high performance concrete can meet the requirement of field concrete shaft lining and achieve the high level of quality control. The industrial application and study results accord with the field requirement. Furthermore, the study results also provide experimental basis and industrial production data for industrial application of C100 high strength and high performance concrete.

Abstract: Botnet is a kind of computer clusters which hackers have controlled by one to many command channels for malicious purposes. Using a botnet, hacker can conduct the denial of service attacks, send massive spam and steal confidential personal easily. A Botnet's control channel by the initial based on IRC protocol has become complicated channel based on HTTP. This paper introduces the control mechanism of HTTP-based botnet. In addition, this paper also analyzes a kind of botnet based on http protocol--Zeus. By setting up experimental environment, configuring Zeus tool and analyzing network traffic, we are able to understand the working mechanism of Zeus and the working principle of botnet based on HTTP protocol.

Abstract: Based on Web Service and Multi-agents technology, this paper proposes to build a remote distributed fault diagnosis system for equipments of an incineration plant which requires real-time diagnosis in a widely distributed environment. The system is modeled and implemented by multi-agent technology and is composed of a large number of agents, which are deployed at different web sites. To extend system capabilities, a user can provide additional diagnosis procedures, diagnosis services or data services. Based on diagnosis goals, relevant agents are assembled together to form a remote collaborative diagnosis system. The system can be used in any incineration plants, which greatly simplifies the deployment and maintenance efforts.

Abstract: To solve the problems in manufacturing execution system (MES) design and application, two key issues for MES is studied in this paper. Firstly, a six-layered service-oriented MES system architecture is putforward, which includes enterprises resource layer, component layer, service layer, business process choreography layer, presentation layer and system integration framework layer. Secondly, a multi-view system implementation mode for MES is studied from the aspects of function view, organization view, supporting technologies view and implementation process view. Finally, a case study is provided for its application.

Abstract: The recoil behavior of melt-spun ribbons of Zr-doped α-Fe/Nd2Fe14B alloys has been investigated by analyzing hysteresis curves and recoil loops of demagnetization curves. A drastic increase of the coercivity Hc from 620kA/m to 855kA/m at room temperature by an addition of 1at.% Zr in α-Fe/Nd2Fe14B alloys has been observed. According to integrated recoil loop area, it is found that the maximum value of the integrated recoil area for Zr-doped sample (3.05 kJ/m3) is significantly lower (about 7 times) than that value for the Zr-free sample (20.9 kJ/m3). The reason of reduced recoil loop area in high coercivity α-Fe/Nd2Fe14B nanocomposite alloys by Zr addition was discussed in term of the process of irreversible magnetization reversal also.

Abstract: Considering the fact of low gloss and masking power of aluminum powder, the aluminum powder is chemically modified by wet covering with eight kinds of single surfactants such as Oleic acid, Stearic acid, Sodium dodecyl sulfonate, Sodium stearate, Polyvinyl alcohol, Polyethylene glycol, Tween-80 and Emulsifier-OP in different proportions on the surface of aluminum powder and the gloss of aluminum paste printing ink concocted with the covered aluminum powder is tested. The results show that the gloss of the aluminum powder covered by one percent Polyvinyl alcohol increases most significant. In order to upgrade the gloss of the aluminum paste printing ink, an orthogonal experiment is carried out by choosing four surfactants such as Polyvinyl alcohol as influencing factors and their addition amounts as researched levels. The optimal surface modification formula is obtained based on the experiment. The dosage of surfactant is one percent of the aluminum powder, Sodium dodecyl sulfonate accounts for 25.00% of the total surfactant’s weight, Sodium stearate accounts for 37.50% of the total surfactant’s weight, Tween-80 accounts for 12.50% of the total surfactant and Polyvinyl alcohol accounts for 25.00% of the total surfactant’s weight. The prescription can concoct the commodity aluminum powder and passed 1200 mesh to the aluminum paste printing ink with commodity ink to satisfy the request of relief printing and intaglio printing. The gloss of the printed aluminum paste printing ink reaches 81.3.

Abstract: Aiming at the fatal flaws of the traditional diagnosis methods for the large-scale photoelectric tracking devices, such as poor stability and adaptive capacity, lack of inspiration and narrow domain knowledge of expert system, etc, more importantly, fundamentally improve the diagnostic efficiency and universality, in this paper, an intelligent mixed inference diagnosis expert system based on multiple knowledge representation and BP neural network is put forward. Firstly, some related key basic concepts and principles of intelligent fault diagnosis technology and several major applied diagnosis knowledge representation methods such as diagnosis fault tree, frame representation production rule and so on, were elaborated. Secondly, in view of high concurrency and relevancy of the system faults, a mixed reasoning mechanism combining BPNN and ES was researched. Finally, some interrelated essential implementation techniques, such as system architecture and VR technology, were also presented. Actual applications and experiments demonstrate that the proposed approach is robust and effective.