Key Engineering Materials Vols. 467-469

Abstract: P2P network is more suitable for distributed data flow processing. This paper concentrates on how to answer continuous join query in structured p2p overlay networks. In the algorithm proposed, the data that cannot contribute the queries’ results will not be distributed in the network based on global query indices. Experiment shows that the algorithm ensures the availability of join query and network traffic is reduced.

Abstract: Honeywell Business FLEX® PKS™ is a manufacturing executive system(MES) which is applicable to the process manufacturing firm to unify the supply chain plan, the service and the production automation, transferring the company's service goal to the definite operation goal and realizing the multi-varieties, multi-batch, high quality and low cost of the production demand. This paper has investigated on the enterprise productive plan and scheduler module to realise the system optimizations and product quality improvement as well as some key technical strategies. The paper also made an analysis for the numerous resources entity and functional module of the overall system and formed a research subject on the theory relative to the reliability growth of the MES. The research on the case has a certain instruction function for the enterprises which are going to put the MES into accurate, real-time data improves the decision-making process, and the resulting decisions improve customer service for all related information.

Abstract: Reviewed the research status of portfolio decision-making at home and abroad; On the background of project portfolio management theory, a large number of the current model of portfolio decision-making were researched. From the perspective of project managers, Taking work breakdown structure(WBS) as the basis and combining with portfolio management systems and 0-1 programming model , expanded 0-1 programming project quantitative portfolio model was proposed. This model will provide a reference for the research of project quantitative portfolio decision-making.

Abstract: The absorption characteristics of micro-structural material, such as “black silicon”, aroused extensive attention. In order to understand the impact of the micro-structure, based on Monte Carlo method, the optical simulation is used for absorption characteristics of micro-structural material. In this paper, the body material used for simulation is a kind of glass, BK7, which has been widely used. And, there are a number of 400 structual cells in the model. The bottom square of each cell is fixed to 50×50 µm, and the height of cells is adjustable. For each height, the reflectance, transmittance and absorption of microstructural material can be caculated. Then the relationship between the height and reflectance, transmittance and absorption can be built up. In our simulation, a very complex relationship between the absorption and the the structure of the material is showed. Generally, the absorption increases while the height of microstructual cell increasing.

Abstract: In this paper, two modifications are proposed for minimizing the nonlinear optimization problem (NLP) based on Fletcher and Leyffer’s filter method which is different from traditional merit function with penalty term. We firstly modify one component of filter pairs with NCP function instead of violation constrained function in order to avoid the difficulty of selecting penalty parameters. We also proved that the modified algorithm is globally and super linearly convergent under certain conditions. We secondly convert objective function to augmented Lagrangian function in case of incompatibility caused by sub-problems.

Abstract: In this paper, A QP-free feasible method was proposed to obtain the local convergence under some weaker conditions for the minimization of a smooth function subject to smooth inequalities. Based on the solutions of linear systems of equation reformulation of the KKT optimality conditions, this method uses the 3-1 NCP function[1].The method is iterative, which means each iteration can be viewed as a perturbation of a Newton or Quasi Newton on both the primal and dual variables for the solution of the equalities in the KKT first order conditions of optimality, and the feasibility of all iterations is ensured in this method. In particular, this method is implementable and globally convergent without assuming the strict complementarity condition, the isolation of the accumulation point and the linear independence of the gradients of active constrained functions. The method has also superlinear convergence rate under some mild conditions.

Abstract: Electronic Tongue is a kind of intelligent equipment which is used to distinguish tastes. An electronic tongue composed of a sensor array of ion-selective electrodes has been developed and used for the qualitative analysis of five different brands of mineral water. The acquired original data has been optimized by principal component analysis (PCA) and then the probabilistic neural network (PNN) model is designed to process the data. The application results show that the performance of the proposed method has surpasses the traditional BP neural network algorithm, the speed of recognition is fast and the accuracy rate can reach 100%, which gives the electronic tongue system good practicability and feasibility.

Abstract: This paper presents an optimizing method of competitive neural network(CNN):During clustering analysis fixed on the optimum number of output neurons according to the change of DB value，and then adjusted connected weight including increasing ,dividing , delete. Each neuron had the different variety trend of learning rate according with the change of the probability of neurons. The optimizing method made classification more accurate. Simulation results showed that optimized network structure had a strong ability to adjust the number of clusters dynamically and good results of classification.

Abstract: In view of all sorts of questions existing in CNC machining, such as machining vibration, so proposed a new simultaneous multi-objective optimization algorithm on free-form surface five-axis machining tool path and tool posture based on constant scallop height. In the algorithm, we first complete the surface fitting on the base of feature points obtained. Secondly calculate principal curvatures of the surface, select tools, and at the same time generate tool axis vector in the current cutter-contact point tool axis. Once again get the maximum spacing and surface curvature in accordance with the tool effective cutting radius, discrete into cutter-contact point, and calculate the cutting depth to adjust the machine feed rate. And finally connect adjacent curve path using the diagonal to achieve a continuous cutting scallop height tool path. This algorithm can achieve the goals such as the same precision, improving processing efficiency, reducing the number of tool cutting in and out, reducing cutting vibration and tool wear and so on. That is the algorithm can achieve simultaneous multi-objective optimization of the free-form surface NC machining finally.

Abstract: Five-axis machining area of free surface is proposed by based on ARM9 and Linux open CNC system's overall structure of the CNC system hardware and software architecture. The system adopts the mode of the host computer PC, the lower computer ARM9 development board. PC completes the model of space surface and generates tool path by Simultaneous Multi-objective Optimization Algorithm on Free-form Surface Five-Axis Machining Tool Path and Tool Posture. The lower computer applies MYSQL database to storage and manage cutter location point information. Other modules access the database through ODBC standard interface. ARM9and PC utilize the way of cross-platform socket data transmission, the stepper motors is controlled by the way of constant acceleration - deceleration.