Key Engineering Materials Vols. 474-476

Abstract: The fractal art graphic is one of the main manifestations of fractal art, which can be produced through mathematical models and programming on a computer. The paper investigates the designing concept of fractal art based on its self similarity and the iterative method, elaborates in detail the algorithms and steps of several kind of typical fractal graphics, and by properly inserting some controlling variables, has generated a large number of exquisite and inspiring fractal graphics using the JAVA programming language, confirming the validity and usability of presented algorithm’s.

Abstract: Based on affine transformation image kinematics and recurrence relations, the sub-region KLT feature extract with was designed and rules were given. Optimization of sum of absolute difference was used to match feature points. Diamond search template was adapted to make matching fast, and adaptive varying template size scheme was proposed to solve the problem the minimum SAD is not exclusive, and detailed procedure were described. In order to ensure that extracted feature points are on background, not on moving robot, adaptive iterative scheme was proposed and algorithm was designed. Through solving over-determined image kinematics equations using the least squares algorithm, got the motion parameters. According to the self-developed jitter compensation model, unintended motion was reduced by Kalman filter. Then use filtered parameters to reconstruct image. Based on two autonomous robots, experiment was completed. Results show method proposed meet requirements of accuracy and real time.

Abstract: Based on two hyper-chaotic recurrent neural networks, a new image encryption scheme is presented in this paper. In the encryption scheme, the shuffling matrix is generated by using a Hopfield neural network, which is used to shuffle the pixels location; the diffusing matrix is generated by using a cellular neural network, which is used to diffuse the pixels grey value by OXR operation. Finally, through numerical simulation and security analysis, the effectiveness of the encryption scheme is verified. Duo to the complex dynamical behavior of the hyper-chaotic systems, the encryption scheme has the advantage of large secret key space and high security, and can resist brute-force attacks and statistical attacks effectively.

Abstract: The ploidy of parthenogenetic Artemia from Aqqikkol Hu (Xinjiang) was determinated by flow cytometry. The results showed that the Artemia populaton of Aqqikkol Hu (Xinjiang) consisted diploid and tetraploid, the rate of diploid and tetraploid approximated to 80% and 20% respectively. It should conclude that the results of ploidy of parthenogenetic Artemia can be determinated rapidly and exactly by flow cytometry. The new method for the ploidy determination of parthenogenetic Artemia should accumulate the basic data for biological study and application of Artemia.

Abstract: The Fiber Reinforced Plastic (FRP) has been widely used in aircraft, spacecraft, watercraft and transportation because of its excellent mechanical characteristics. The fatigue characteristic of the composite laminate of FRP is important guarantee to the structure security and reliability. In this paper, according to the damage mechanical theory, a fatigue damage accumulation model based on stiffness degradation and the corresponding method of fatigue life prediction are presented. The composite material of T300/ epoxy-resin with high performance has been investigated. The tension-tension fatigue tests have been conducted on the composite laminates. The fatigue life prediction of the composite material is presented. It shows a good agreement to the experimental and theoretical results.

Abstract: Enterprise Service Bus (ESB) technology, which is one of the implementation of the infrastructure of Service-Oriented Architecture (SOA), is put forward to solve various heterogeneous problems in enterprise information sharing and the management system integration. First, this paper introduces the definition and technical features of ESB and then, shows the design and implementation of an ESB-based Manufacturing Business Collaboration Platform (MBCP), which is used to solve the problems of the business integration in manufacturing industry area. Finally, we presented the application of MBCP in a steel plant as an example to illustrate the effectiveness of MBCP.

Abstract: A new feature subset selection algorithm using class association rules mining is proposed in this paper. Firstly, the algorithm mines rules with features as antecedences and class attributes as consequences. Then, it selects the strongest rules one by one, and all the rules’ antecedences make up of the selected feature subset. Experimental results on 10 real data sets show that the proposed algorithm produces a remarkable advantage in enormously reducing the number of the features while keeping quite high classification accuracy compared with other existing seven algorithms. This algorithm can offer an available preprocess technique for pattern recognition, machine learning and data mining.

Abstract: This paper presents a neural network based optimal control approach for the power allocation problem of smart grid. Firstly the optimal control framework which consists of center control layer, area control layer and generator control layer is presented. In order to reduce computation time of optimal control, the neural network optimization method and schematic diagram is proposed. Simulation is implemented in a modified IEEE30-bus power system comprising 6 conventional generators and a wind plant. Simulation results demonstrate that the proposed neural network optimization approach is satisfied the demand of computation time and the optimal power controller can allocate the power into loads reasonably and cope with the fluctuation of the load and renewable energy source’s output power.

Abstract: In this paper Finite element methods (FEM) and cutting experiment were used to investigate the machinability of titanium alloy ZTC4 (cast Ti6Al4V). Machinability was evaluated as cutting force, temperature, and surface roughness. Two-dimension (2D) and three-dimension (3D) machining process FEM models were established. Material constitutive applied Johnson-Cook model synthesizing elastic and plastic deformation. Chip separated criteria adopted arbitrary Lagrangian Euler (ALE) algorithm. Heat generation source included the rake face chip flow under conditions of seizure and chip/tool friction, clearance face tool/workpiece friction. 3D discrete milling tool was modeled and the milling process was simulated. The ZTC4 milling experiments were designed and carried out with same cutting conditions of the 3D FEM simulation. The results of FEM simulation and the experiment were compared and analysed. The influences of the machining variables to the machinability of ZTC4 were discussed.

Abstract: A new approach to bearing fault diagnosis under run-up based on order tracking and continuous complex Morlet wavelet transform demodulation technique is presented. The non-stationary vibration signal is first transformed from the time domain transient signal to angle domain stationary one using order tracking technique. Then the continuous complex Morlet wavelet transform is applied to the angle domain re-sampled signal and the complex Morlet wavelet transform based multi-scale envelope spectrum is obtained. The experimental result shows that order tracking and complex Morlet wavelet transform based multi-scale envelope spectrum can effectively diagnosis bearing localized fault.