Advanced Materials Research Vols. 712-715

Abstract: The problem of placing a number of specific shapes on a raw material in order to maximize material utilization is commonly encountered in the production of steel bars and plates, papers, glasses, etc. In this paper, we presented a genetic algorithm for steel grating nesting design. For application in large-scale discrete optimization problems, we also implemented this algorithm with CUDA based on parallel computation. Experimental results show that under genetic algorithm invoking with CUDA scheme, we can obtain satisfied solutions to steel grating nesting problem with high performance.

Abstract: Almost all the fields use tree modeling in society. But it is difficult to find an efficient tree modeling method because its own complexity and wind, rain acting on tree. This paper constructs tree static modeling with expanding 2.5D modeling method and collision principle. The object suffers wind power that the force calculated by momentum theorem. And then compare the value of rupture limit to Young modulus. It is determined object to fracture or sway. Then it constructs tree dynamic modeling in the nature.

Abstract: In the process of plants simulation syncretzing remote sensing information, ground and scene are all the key parts. Scenes intervene the process of plants growth directly, so that is a most important for plants simulation based on remote sensing information, radiometer and sensors. The paper according as experiment data, presents the methods of modeling ground scene for plants, makes the simulation high creditable and realistic, and serves for cropper-yield monitoring and assessing.

Abstract: In modern society, tree modeling has much academic significance and worth of society, after paper introducing advantages and shortcomings on virtual modeling simply, emphasizes on different puzzle to be faced when 2.5D describing on structuring samples of trees. At the same time, theme also discusses technology during the modeling process roundly, for example, samples managed, samples combined, knowledge utilized and so on.

Abstract: The high cost of space missions, long cycle and high risk, simulation technology has been an important way in the research and engineering applications of space technology. A cost-effective space missions in rail services through the Service spacecraft on-orbit servicing, in-orbit replacement to extend the service life of the target spacecraft in the rail supply, to enhance the effectiveness of the spacecraft. In rail service technology involving orbital dynamics, collision dynamics, multibody dynamics, the dynamics knowledge integration application. Therefore requires a comprehensive and efficient simulation platform to support research to expand the application of on-orbit service. In this paper, the open source dynamics engine ODE Open Inventor graphics library and Maltlab numerical simulation software to build a multi-level, in-orbit service simulation platform, play to the advantage of three software can quickly carry out the front end of the rail service, power school simulation, operation, control and results processing.

Abstract: As a Network Centric Warfare (NCW) case applied in Air & Missile Defense domain, Networked Air & Missile Defense (NAMD) represents the superior development of the Air & Missile Defense warfare in future. Based on the ideology of Integrated Fire Control, architecture and characteristics of NAMD are depicted, and simulation models based on above depictions are designed. Finally, operational capabilities of NAMD are generally evaluated, and the rationalities of decision-making script and model framework are validated by concentrating on results of an operational scenario simulation.

Abstract: The main objective of this study is to investigate the economical distribution of generator load based on the Lagrangian Multipliers. The reasonable economical distribution of generator load based on the lagrangian multipliers model is established in this paper, which uses the appropriate mathematics optimized algorithms whose computation precision is higher and convergence characteristics is good too. This algorithm improves the efficiency of computation, which is very significant in engineering

Abstract: With different task mapping and scheduling will lead to different time consumption and energy consumption on heterogeneous multiprocessor systems, using appropriate task mapping and scheduling algorithms can save more energy. In this paper, we propose a new method to solve the task mapping problem. The algorithm consists of two elements: An intelligent approach to assign the execution orders of tasks by task level, and an allocation algorithm based on chemical-reaction-inspired metaheuristic called Chemical Reaction Optimization (CRO) to map processors to tasks. The results show that it can use less time to reduce more energy consumption.

Abstract: The demand for electric power data is more and more widely, and put forward higher requirements to the quality of statistical data. This paper combined with the features of electric power data. Evaluate data quality from the accuracy, completeness, uniqueness, consistency, accuracy, efficiency and timeliness seven aspects. And put forward the specific evaluation methods of each evaluation index. Then build a whole data quality evaluation process on this basis, quantitative analysis the data in the database, to acquaintance the data quality condition.

Abstract: Digital filtering through a certain calculation orprogram determination to reducing the proportion of noise interference superimposingon the useful signal, so as to improve the quality of signal acquisition. Thedigital filtering is realized by program and does not need additional hardware，anddifferent filtering methods or filtering parameters can be used according todifferent signal, so it has good stability, strong function. Digital filteringhas stronger capacity in inhibiting the interference from low frequency signal.