Advanced Materials Research
Vol. 770
Vol. 770
Advanced Materials Research
Vol. 769
Vol. 769
Advanced Materials Research
Vol. 768
Vol. 768
Advanced Materials Research
Vols. 765-767
Vols. 765-767
Advanced Materials Research
Vol. 764
Vol. 764
Advanced Materials Research
Vol. 763
Vol. 763
Advanced Materials Research
Vols. 760-762
Vols. 760-762
Advanced Materials Research
Vols. 756-759
Vols. 756-759
Advanced Materials Research
Vols. 753-755
Vols. 753-755
Advanced Materials Research
Vols. 750-752
Vols. 750-752
Advanced Materials Research
Vol. 749
Vol. 749
Advanced Materials Research
Vol. 748
Vol. 748
Advanced Materials Research
Vol. 747
Vol. 747
Advanced Materials Research Vols. 760-762
Paper Title Page
Abstract: This thesis is written based on embedded Linux system with 2.6 kernel and S3C2410 Microprocessor platform. The LCD driver framework and several important data structures based on framebuffer are analyzed in depth by the introduction of the working principle of framebuffer. And the implementation method of LCD driver is provided in this thesis.
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Abstract: This paper is concerned with the mean-square exponential stability analysis problem for a class of stochastic interval cellular neural networks with time-varying delay. By using the stochastic analysis approach, employing Lyapunov function and norm inequalities, several mean-square exponential stability criteria are established in terms of the formula and Razumikhin theorem to guarantee the stochastic interval delayed cellular neural networks to be mean-square exponential stable. Some recent results reported in the literatures are generalized. A kind of equivalent description for this stochastic interval cellular neural networks with time-varying delay is also given.
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Abstract: This paper researches the feasibility of real-time processing data from Sensor Web by means of Web Processing Service (WPS), which isnt dependent on the platform of the traditional monolithic GIS. On this base, an actual solution is provided to configure and transform some monolithic GIS services into accessed web services, at the same time the customer could automatically get data offered by Sensor Web and simulate processing up-to-date information to obtain desired results in client-side , which could visualize quickly to provide critical and timely help for users at crucial moment. The applicability of the solution is demonstrated by a fire scenario in which we employ WPS framework of 52North project and the client-side is OpenLayers.
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Abstract: In this study, numerical simulation of XCP probe was executed. The 3D Navier-Stokes equations were used as governing equations, and the finite volume method combining two-equations turbulence model was applied. The flow field of XCP Probe was analyzed, especially around the XCP Probe's head. The results show that the arc design of the XCP Probe's head plays an important role on the steady falling speed. In addition, when the radian is 27°, the resistance of the probe is smallest and a larger falling speed can be achieved; The electrodes of probe should be located in front end of a conduit which is in the middle of the probe.
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Abstract: Proposed that idea of cloud computing ecology development, supports and guiding cloud model deployment, the cloud service management and Clouds protocols observes the purification of mix cloud environment. Has designed the multiple dimension data saving structure and real-time mass-data processing of model as well as the asynchronous overall construction distributional ecology cloud structure. It has been shown that this ecology cloud structure is healthy.
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Abstract: The interoperation of various applications will need a representation that goes beyond the traditional geometry-based one, which is inadequate for capturing semantic information. The semantic file is proposed to support a tighter integration of CAD and FEA. The main idea of the approach is presented and key technologies are elaborated, including the creation of the FEA solution template, and the matching algorithm between semantic markup file and FEA template file t. Finally, the feasibility and effectiveness of the approach is empirically validated by a case study.
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Abstract: This paper proposes an approach to annotate the CAD models based on ontology with the aim of making the design intent understood by computer and applied in follow product development process, such as FEA. Semantic markup can embed the engineering semantic information such as product function, and design principle into the CAD geometry data through annotating, it makes the analyzers reuse design ideas quickly and conveniently to increase efficiency. The paper presents the design domain ontology and FEA domain ontology, and applies feature technologies and the semantic Web to complete annotation. Finally, a case study is carried out.
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Abstract: In order to lift the restrictions of classrooms, teachers, classes and time on the course scheduling, the B/S network architecture and ASP.NET technology are taken as the development tools to introduce the design of the course scheduling system from the perspectives of course scheduling algorithm analysis, overall design and each function module for the purpose of implementing the intelligentized and humanized course scheduling process and perfecting the teaching management work.
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Abstract: Let. This article considers the following degenerate semilinear parabolic initial-boundary value problem,
where be constants. We obtained the blow up set and find the conditions of single point blow-up.
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Research on the Application of College Automated Course Scheduling System Based on Genetic Algorithm
Abstract: A reasonable curriculum contributes to the improvement of the training and teaching quality of college students. Using computer which is speed and strong ability to arrange curriculum automatically is imperative. Automatically curriculum arrangement is a constrained, multi-objective and intricate combinatorial optimization problem. Based on genetic algorithm of population search, it is suitable to process complex and nonlinear optimization problems which it difficult to solve for traditional search methods. In this paper solves complex automated course scheduling using genetic algorithms.
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