Applied Mechanics and Materials Vols. 58-60

Abstract: Effective control of the endpoint steel temperature and contents of carbon, sulphur, etc. is one of the main tasks of BOF steelmaking process. This paper established a multivariable predictive model for BOF steelmaking using RBF neural network. The input data is pretreated and standardized. Receding horizon control method is used to increase the accuracy of the model. Simulation and experiment comparisons show that the model is validated and has high hit rate.

Abstract: In the question-answer system aimed at course learning, the serial questions asked by user should not be processed respectively, but need to be replied according to context, and the premise is to examine the relevance between user’s current question and quondam questions. An automatic question-answer system is designed which can carry out contextual interaction. The relevance of user’s questions is detected with SVM, the elliptical sentences in the following questions are recovered, and final answers are extracted from ontology-knowledge-base after classifying questions and retrieving information. The experiment result indicates that the F measure of question detection reaches 88% and the accuracy rate of questions is 69.5%.

Abstract: With the development of the computing ability of many-core processor, the acceleration of parallel programs on many-core has become the research focus. The network packet processing is an important application of large-scale parallel processing. Thus, many researchers have great interests on the acceleration of packet processing on many-core processor. We select the IP routing lookup algorithm as our target application. We have analyzed the feature of packet lookup algorithm based on binary tree and propose a novel parallel lookup algorithm SCMRL (Spm and Cache Mixed Routing Lookup). We describe the whole process of SCMRL in details. The results of experiments on Godson-T many-core architecture show the better performance than the baseline algorithm.

Abstract: As a software component which is capable of learning in an autonomous way, software agent should have the capability of learning in a dynamic environment. Genetic Algorithm has a wide perspective in the machine learning because of its unique characteristic (e.g. dynamic adaptability, self-organization, global convergence and robustness). But when applying GA to agent’s dynamic learning model, it encounters a series of problem. In this paper, a Modifided Multi-Objective Genetic Algorithm(MMOGA) will be introduced to solve these problems. Finally, an Agent’s Dynamic learning model based on a MMOGA which has the flexible dynamic learning capability, better global convergence and performance, will be introduced.

Abstract: Object-Oriented Stochastic Petri Net (OOSPN) is utilized concerning the complexity of container terminal tridimensional rail transmission system network. It simplifies the structure and modeling with object-oriented and hierarchy idea, while the efficiency of each state is detected based on Stochastic Petri Net performance analysis. Thereby, it finds the system bottleneck which also provides reference for the improvement of the program. The efficiency indicators are obtained by analysis and construction of container terminal transmission system as well.

Abstract: A method of decoding ring marks and EO device was presented in this paper. Also the GSI coded targets had been analyzed and a new type of optical probe can be recognized in use of affine transformation and the cross ratio. Experimental results show that the EO device and optical probe are to be identified correctly and efficiently.

Abstract: Performance test rig of the electric nail gun consists of five parts and the key one of which is the loading mechanism. By analyzing its working principle, virtual prototype model of the loading mechanism was established using simulation software ADAMS. Through simulation of the prototype model, the design requirements of the loading mechanism were given. Then, using the method of parametric analysis, dynamic characteristics of loading mechanism was obtained. Eventually, the relationship between the preload force of loading spring and the implanted force of the sample nail was presented.

Abstract: Since the existence of the ionosphere contamination, results of high-frequency radar has been greatly affected. This paper addresses a new method based on temporal correlation matrix to correct phase distortion for HF sky-wave radars. Strong point echoes, such as target, clutter, transponder and so on, which are highly temporal correlated, can be used to structure temporal correlation matrix. And the matrix contains angles of echoes and phase distortions information. In this paper, we use two-dimension FFT to estimate angle of strong point echo, and then obtain the corrections. Computer simulations are conducted to show the validity of the new method, and some of performances of PGA were compared.

Abstract: Under condition of mass customization collaborative logistics chain for optimized configuration, taking quality, cost, time and collaboration degree as evaluation index systems, and aggregative value minimum of evaluation indices as object, an optimal model of mass customization collaborative logistics chain was established firstly. Secondly, based on genetic algorithm and ant colony algorithm, an improved mixed genetic-ant colony algorithm was proposed, which was suitable to solve the problem, and the solution process was explained. Finally, an example and comparison were presented to prove the feasibility and validity of the proposed algorithm. The method provides reference model and solution algorithm for mass customization collaboration logistics chain optimization.

Abstract: By using Bezier surface matrix formula and Bezier surface control points and through merging different Bezier surfaces, the car model was produced. By using texture and transparence and other functions of Java 3D, the tyres and the wind screen of the car and the exhibition platform were designed. By defining the moving and rotation actions, the motions of the car model were designed. All functions were implemented by Java and Java 3D.