Applied Mechanics and Materials Vols. 241-244

Abstract: Connected with the Serial Communications data manage needed in the industry control, based on the methods of the Serial Communications program and circular queue data sink, with the introduction to Excel interactive objects and objects’s methods, this paper studies the EXCEL tabular methods through Visual C++. Through the electronic controlled high-pressure common-rail part production quality management system, the reliability and stability of the Serial Communications data Excel tabular have been verified.

Abstract: This paper analyzes the multi-target tracking of sperm by using the improved nearest neighbor data association tracking method which predicts the position where the sperm may appear in the next frame by computing the interframe-distance and direction of the sperm. Also, in order to dealing with the situation of tracking lose and many-to-one tracking, we proposed two processing methods for sperm re-tracking of tracking lost compensation and tracking forecast minimum-range. The experiment shows this algorithm has better tracking accuracy and higher efficiency.

Abstract: Based on the prediction of individual parameter and the theory of the correlation coefficient, it proposes a combination parameter trust prediction model to solve the parameter weights. The model takes correlation coefficient as the weight of the single parameter, and trust evaluation and prediction analysis is conducted in the form of combined indictors. The method of taking the single item parameters as the foundation of forecasting can increase a variety of items in the forecast parameters dynamically. At the same time, using correlation coefficient as the form of weight can maximize the weights of some parameters with high accuracy and reduce the weight of some parameters with poor accuracy. At last, an optimization algorithm of combination parameters prediction model is designed, and experiments show that the proposed combination parameters trust prediction model of e-commerce has a better accuracy compared to several other typical prediction models.

Abstract: In this paper, we introduced a scientific computing environment for Internet-Oriented computing resource sharing, abbreviate ISCEs, which is a high-performance computing environment that allows users to write and evaluate parallel distributed applications for different hardware and software configurations using a web interface. We described the software architecture of ISCEs by emphasizing Application editor, Application Scheduling Components, and Application execution/runtime modules. ISCEs is efficient which is strongly supported by the time measurement scheduling polices. The system resource monitoring can also benefit a lot from the Application execution/runtime modules. The results obtained from performance analysis show that Scalability and Speedup of ISCEs was good.

Abstract: A robust aspect ratio based agglomeration algorithm to generate high quality coarse grids for unstructured grid is proposed in this paper. The algorithm focuses on multigrid techniques for the numerical solution of Euler equations, which conform to cell-centered finite volume scheme, combines isotropic vertex-based agglomeration to yield large increases in convergence rates. Aspect ratio is used as fusing weight to capture the degree of cell convexity and give an indication of cell quality, agglomerating isotropic cells sharing a common vertex. Consequently, we conduct agglomeration multigrid method to solve Euler equations on 2D isotropic unstructured grid, and compare the results with MGridGen

Abstract: Almost all ocular and systemic diseases affect blood vessel attributes (tortuosity, length, width, and curvature). Quantitative measurements of these attributes could thus provide useful tool for diagnosing the severity of several diseases. However, it is still unclear how best to represent the attribute values of multiple vessels in a single image. Graphical user interface (GUI) is a promising step towards the development of a semi-automated computer assisted tool. The objective of this study is to develop a GUI for effective observation and robust retinal blood vessels analysis by ophthalmologists and to comprehend the distribution of vessels attributes. Blood vessels from 45 digital fundus images of infant retina are extracted, its centerline is delineated and tortuosity is analyzed from different putative and proposed techniques to provide reliable and comprehensive information for the retinal vasculature. K means clustering technique is used for classification analysis of different tortuosity metrics and its performance is evaluated based on sensitivity, specificity, and accuracy. The results are validated by comparing with expert ophthalmologists’ ground truths. Among the various proposed tortuosity metrics, one of our tortuosity indexes attains the highest classification accuracy of 91.42% with sensitivity and specificity of 86.36% and 97.82% respectively.

Abstract: In the field of spatial information, the amount of spatial data becomes more and more large, and every operation becomes more and more complicated. Now, parallel techniques gradually become valid means of resolving this kind of complicated problem. Therefore, this paper studies the spatial partitioning method of massive data and the parallel geo-spatial index replication strategy after fully considering characteristics of PC cluster based on shared-nothing structure. After studying excellent linear mapping characteristics of Hilbert spatial ordering code, this paper applies it to spatial partitioning of data, and gives a concrete algorithm. In this algorithm, the clustering performance of spatial objects is considered, and the balance of data storage on each processing unit is also done, which greatly improves the processing efficiency of parallel spatial database. Based on this, this paper builds the parallel geo-spatial index based on R-tree, and proposes the spatial index replicas update mechanism based on master replica and weak consistency suitable for the parallel environment of shared-nothing structure after deeply analyzing current synchronous mechanisms of replicas. It is a kind of update mechanism based on message with low cost, enhances the power of parallel spatial data access and using PC cluster, and improves the availability of index data. In the field of 3D visualization application, it is also efficient. Experiments prove that the spatial partitioning strategy and the parallel geo-spatial index replication mechanism presented in this paper can improve load balance of system, and enhance performance of the whole system.

Abstract: To ensure the quasi class rate of large container liner, the requirements of handlingcapacity and efficiency for handling equipment will be higher. Therefore, meeting the requirementof increasingly large-scale on container ship is an important factor on Quayside of Container Crane (QCC) selection proposal. Under the premise of meeting handlingcapacity and efficiency, it should consider the reliability,economy, advancement and other factors of handling equipment. In the foundation of analyses the technical parameters and cost factors on QCC selection proposal, this thesis gives a synthetic evaluation method of QCC selection proposal, including the choice of index system and weight determination, and it gives sensitivity analysis from different factors that affect the QCC selection scheme result. Be combined with cases, this thesis describes the synthetic evaluation method for selection proposal is practical.

Abstract: This paper proposes an exception handling mechanism based on Adaptation Planning Graph for service-based business processes. A three-layer representation model of service-based business process is introduced firstly. And then, Logic Model of Service-based Business Process and Adaptation Planning Graph are introduced to enforce reliability of composite Web Services at run-time. Simulations prove that this approach can efficiently guarantee the reliability of composite services at run-time.

Abstract: The representation and retrieval technology of components are two core technology of the reusable component library. Related research think that the component query method based on facet description is much better than other methods, but when the user is not familiar with the term hierarchical tree of facet, they can not accurately represent the needs of their inquiry, so lead to lower query precision.To address this problem, this paper proposes a component query method based on facet description .In this method, the component will be expressed as vector form. Through the iterative process, using the user feedback information on the query results to adjust the user query vector constantly, and making it approximate the ideal query vector. Through the related experiments, this method is proven to improve the effectiveness of the component query precision.