Advanced Materials Research Vols. 989-994

Abstract: Reducing query time by means of selecting a proper set of materialized views with a lower cost is crucial for effcient datawarehousing. The database, however, needs to be utilized more, by providing a functional environment of probability analysis. The objective of this paper is to improve the effectiveness of utilizing historical cost data in an analytical OLAP (On-Line Analytical Processing) environment. The results show that the OLAP environment can help understand the uncertainties inconstruction cost estimate, and provide a way for projecting more reliable construction costs.

Abstract: The existing publish/subscribe (Pub/Sub) systems can't match events with subscriptions based on the semantic of events. Focusing on the production development activities, this paper presented a data model for modeling an ontology-based hierarchical description framework, defined service and its classification characteristics, and analyzed an automatic generation method of building service ontologies for the semi-structured data that exist in the Internet. A subscription matching algorithm was proposed for solving the intelligent semantic matching problem between the subscription and services. The results show that the service-oriented applications guarantee the initial and availability matching of individualized demands and service capabilities.

Abstract: This paper analyzed the employees' MMPI Psychological data of a company. Aiming at the problem that traditional K-Means algorithm is sensitive to the initial clustering center, this paper used hierarchical clustering algorithm CURE to mitigate the problem. Finally using CUDA technology clustered several times, so as to improve the execution efficiency of the algorithm. Through experimental verification, the improved K-Means algorithm behaved well in both execution efficiency and clustering results.

Abstract: In LTE-A (LTE-Advanced) system, CoMP (Coordinated Multipoint Transmission) is used to improve system capacity and cell coverage. CB(Coordinated Beamforming), as a way of CoMP, using multi-cell coordination to improve the spectrum efficiency of edge users. Therefore, coordinated cell selection is important. To achieve better performance, multiple factors rather than a single one are considered in cell selection, channel gain as well as cell load is taken into account in the article. Multiple factors constitute a matrix to find the optimal coordinated cells, multi-objective optimization is used here. Simulation result shows system performance of the proposed algorithm is better than the one only considers channel gain.

Abstract: Multiple-Input and Multiple-Output Synthetic Aperture Radar (MIMO-SAR) can achieve high resolution and wide swath at the same time, which has a wide horizon of development in the future. An azimuth frequency-diversity MIMO-SAR is presented, and overlapped effective phase center sampling is obtained while the pulse repetition frequency (PRF) is appropriate. This paper derives an improved sub-band synthesis algorithm which reduces the complexity of conventional sub-band synthesis algorithms and improves the range resolution. The feasibility of this imaging algorithm is proved by point target simulation experiments.

Abstract: Software source code homologous detection is also called software copy or software clone. It is used to detect the homologous in the source code, by which we can easily find the plagiarism in the code. In this paper, it will discuss the homology detection results based on Text, Token and Abstract Syntax Tree. And will compare the three techniques and raise a model to calculate similarity by synthesizing the results. This model is based on the analysis of a large number of experimental results. Comprehensive similarity calculation model can calculate the respective contribution of the three algorithms and realize integrated computation of similarity according to this respective contribution. Finally, we can get a comprehensive similarity by this integrated similarity calculation model to make the homology detection results more accurate and closer to the actual similarity.

Abstract: A new Evolutionary algorithm was presented based on intermediate value theorem of continuous function. The global search ability and the local search ability of this algorithm are well balanced, and operators used in the algorithm are simple, Further, small size of population scale is used. Initial numerical experiments show that the mean evolutionary algorithm is better than differential evolution algorithm in solving high dimension function optimization.

Abstract: In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and itsapplication in policymaking. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, interactive visual decision tree (IVDT) process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users’ understanding of the algorithm, and give them greater satisfaction with the task.

Abstract: A new structure of short training sequence for symbol synchronization in OFDM-PON system is proposed in this paper. By adjusting the subcarrier allocation scheme of short training sequence in a wireless LAN, it makes the mean of short training sequence signal in time domain from non-zero to zero mean and solves the receiving data demodulation interference caused by the wrong trail of the non-zero mean short training sequence in time-domain. Data demodulation simulation and experimental results show that the improved method can effectively reduce the training sequence interference errors caused by tailing.

Abstract: Yarns modeling are the key problem for tufted carpet 3D visual simulation. This paper deals with three-dimensional yarns structure modeling for tufted carpet simulation. The yarn is modeled as an assembly of fiber bundles which also include of a lot of fibers. to simulate fiber bundle dividing fiber bundle into many segments along its trajectory, and each fiber paths displayed are generated by NURBS curves. Through control the control points and color of NURBS to get certain cross-section and color effect of fiber bundle outlook. And finally use the fiber bundle to form the final yarn model. Test result shown the modeling method is suitable for carpet simulation.