Key Engineering Materials Vols. 474-476

Abstract: An unconstrained optimization model applicable to radial deviation measurement is established for assessing cylindricity errors by the maximum inscribed cylinder evaluation. The properties of the objective function in the optimization model are thoroughly researched. On the basis of the modern theory of convex functions, it is strictly proved that the objective function is a continuous and non-differentiable and convex function defined on a subset of the four-dimensional Euclidean space. The minimal value of the objective function is unique and any of its minimal point must be its global minimal point. Any existing optimization algorithm, so long as it is convergent, can be used to solve the objective function to get the wanted values of cylindricity errors by the maximum inscribed cylinder assessment. An example is given to verify the theoretical results presented.

Abstract: Magnetorheological fluid damper, coil current changes the magnetic field by adjusting the magnetic fluid flow in the damping channel, to achieve the shock absorber damping force control. Magnetorheological fluid damper based vehicle semi-active suspension control, with two degrees of freedom 1 / 2 Body Model controller model. By the control algorithm, derived optimal control law to determine the semi-active damper drive control.

Abstract: Based on relation between blanking pressure and materials’ mechanical properties, mainly HV hardness and tensile strength of sheet metals, a model of maximum blanking process noise emission presented in previous paper was further deduced mathematically, then two new predicting models were obtained. In order to test these two predicting models, corresponding experimental studies have been done using HV hardness and tensile strength of selected sheet steels, sheet aluminum and sheet coppers. Final results show that the established 3 models are correct, among which the predicting method using HV hardness of sheet metals is the most simple and practical method. Consequently, a simple and feasible method is presented to predict maximum blanking process noise emission by using sheet metals’ mechanical properties.

Abstract: We formulate the model of R&D investment scale adjustment of defense procurement by applying game theory and contest theory and study the equilibrium of manufacturers’ R&D investment decision-making in defense procurement. We explore mainly the influence of valuation of monopolistic contract and differences among manufacturers’ abilities on investment. The conclusion shows that manufacturers’ investment equilibrium of R&D projects is what the government expects under certain conditions, however, manufacturers’ abilities effect on the investment equilibrium and makes it deviate from the government expectation. Therefore, the government must keep practically manufacturers’ anticipation about the monopolistic contact being consistent with government’s and set basic admission criterion to enable manufactures’ ability well-matched to induce the manufacturers’ investment decisions to the investment equilibrium that it desired.

Abstract: The last few years, research on network risk evaluation technique[1], and establishment of risk evaluation system facing integrity grade protection is the hot problem. There is great significance. The existing network safety valuation system exists many blemishes in science, and nationality, etc. Such as pole light, Nessus, Anluo network risk valuation system etc, they evaluate only from loophole scan or permeating test etc. There Lack important contents, for example, the safe grade and safety of target management strategy of the evaluation network. The standards, such as CC and OB 17859, OBIT 18336, OBIT 20984[2] etc ,are the outline requests , don't have easy operability. The existing network safety valuation methods and models, for example, network safety valuation model based on the discharge attack judges[3] , visit control model[4], network safety valuation model based on the diagram talks[5], all have blemish, there have a few evaluate objects, it's strong to limit, the function is bad. To resolve the above problem, this paper provides a model named NSEMML (Network Security Evaluation Model based on Multi-data and Layer), And a new risk evaluation system based on FNSEM is developed.

Abstract: ZARA is a pioneer of fast fashion brand which has strong advantages in integration of industrial chain, market and user research. This article tries to analyze ZARA in depth, including finding models and theories behind its success. And the last part of the article is a relatively new perspective, that is, using predictions in the design.

Abstract: In this paper, we elaborated on preventive mechanisms either based on cryptographic solutions or trust based infrastructure Moreover, both the localized and ACK-based detection techniques were discussed. Global and local end node reaction mechanisms against ongoing intrusions and threads in order to avoid persistent adverse effects were further discussed. Finally, this paper highlighted open challenges which need to be addressed to secure Ad Hoc networks of the future.

Abstract: In this paper, the chaotic optimization algorithm is embedded in traditional PSO algorithm using randomness and ergodicity of the chaotic characteristic, and random numbers and a inertia weight factor in PSO algorithm is substituted respectively by chaotic variables and an adaptive inertia weight function, so the ACEPSO algorithm is proposed in order to overcome the drawbacks of CPSO algorithm that easily falls into local optimum. With the simulation experiments, the effectiveness of ACEPSO algorithm is verified by optimization tests with the complex multi-dimensional function. The simulation results verify that the ACEPSO algorithm is robust, high precision, and strong global convergence, and is a kind of practical and feasible optimization algorithm.

Abstract: In this paper we have proposed a model to compute the complexity of small relational database application developed in MS Access. The model was built using different database objects. These objects were categorized based upon the basis of weights assigned to their complexity determining factors. We have implemented our model in a tool called SMARtS. We used our model to compute complexity of eight database projects. To evaluate our model, we analyzed the calculated complexity and actual effort. We found that our model successfully captured the complexity of different database projects. Correlation analysis has shown that complexities computed by SMARtS and the actual efforts are strongly correlated.

Abstract: In this study, we proposed a conceptual architecture of web personalization based on subject taxonomy tree and click-through analyses in order to improve the browsing efficiency and user satisfaction. In order to construct user profile, a hierarchal subject taxonomy tree of travel information was built. This tree has five attributes which represent the interests of a single user. Each user has his profile for generating personal categories while searching. The system then adjusts user profiles according to each user’s browsing behavior in order to learn different interests of each user. Textual data in Chinese travel web sites are used for experimental data and a prototype system is implemented in order to evaluate the proposed architecture. The result shows that personal classification is able to improve the outcome of browsing efficiency and user satisfaction on web search.