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Analyzing the problem and key technology about integration of heterogeneity database, a distributed database integration model with global schema based on multi-agent technology is put forward. Firstly, DDB global schema and fragment and assign schema is designed according to actual instance of production organization. Secondly, multi-agent system of administration architecture is designed. Thirdly,...
Distributed information systems tend to be highly heterogeneous, integrating different computer platforms, data storage structure, different database management systems and schemas which converted data structure under one model to data structure under a different model. For these reasons, a probabilistic pattern matching framework based on neural network is introduced. Our approach gives a probabilistic...
Three-dimension geological faults modeling rely on multi-sources faults data heavily. A series of approaches are adopted to triangulate geological faults by analyzing different data types. For multi faults, the priority of each fault is set according to its intersecting or restricting relationships. Based on the highest priority of faults within research region, a new Recursion algorithm dividing...
To provide a complete analysis of the organization, its business and its needs, it is necessary for leaders to have data that help decision making. Data warehouses are designed to meet such needs; they are an analysis and data management technology. This article describes an MDA (Model Driven Architecture) process that we have used to automatically generate the multidimensional schema of data warehouse...
The main purpose of the most research, especially the economic one is to access a good estimate as well as the prediction for the future. The last objective is to explore the future by which the economic plan is adopted, and the strategic policy is development. The success or failure of these plans and strategies depends on the credibility of the prediction. In spite of the Adaptive Neuro-Fuzzy Inference...
Gongchepu, one of the widely-used traditional Chinese musical scores, is hard to read due to the immeasurable rhythmic rule, which only presents a general rhythmic structure while the duration of each note is determined by performer according to the context of the melody. Experience of determining the duration of each note is passed down via oral tradition, and there are few experts who can read such...
This paper studied the problems of parameter system construction for large-scale Internet of Thing situation assessment. It also states the research of situational awareness and assessment of IP network briefly, the situation assessment differences between Internet of Thing and IP network are dicussed, for some especial aspects and the significance about large-scale Internet of Thing situation assessment...
Following students' progress in robotics classes is difficult because student groups usually take different and unpredictable paths in problem solving. To improve teachers' possibilities for intervention at the right time, Open Monitoring Environment allows the teacher to monitor and model the learning process based on the data rising from the current learning setting. Since the amount of data that...
We present a new method for the detection of multiple homographies in image pairs. Our aim is to show that we can approach the optimal solution in a short time using an approach based on the well-known RANSAC algorithm. Given feature correspondences between two similar images, our algorithm iteratively generates homography hypotheses using a suitable sampling, optimizes the promising hypotheses and...
Modeling and simulation have a few drawbacks in the military domain. One of them, lack of validation tools for simulator, is essential for the commanders to believe in results of simulation. The article shows an approach that uses the terrain data to reveal the maximum time in which the decision maker can take the results from simulation as valid. Two algorithms compute the maximum difference between...
In this paper, we do research on principle and application of Cellular Automata (CA), and then design a model of data mining for forest-fire CA based on Fuzzy KModes. In our experiment we focus on the data set generated by forest-fire CA and the results prove that we have detected some valuable essential rule about fire happening and forest growth. Further, we point out that our model is useful for...
This paper presents a proposed model regarding Heterogeneous Data Reduction. The model reduces data over a heterogeneous environment through feature selection/extraction. The feature is selected/extracted directly from its data source and prepared without an initial integration for all data sources. After that the selected/extracted prepared feature is integrated into a new reduced data set Feature...
A fractional order model method based on Mittag-Leffler Functions for education evaluation is proposed in this paper. Course evaluation is necessary means to ensure the improvement of course construction level. Firstly, analytical solution of linear fractional-order systems is promoted. Secondly, fractional order model of course evaluation is proposed. And fractional evaluation model is composed of...
Simulation can benefit from cloud computing that often comes with thousands of processors and its soft-ware is structured as Software-as-a-Service (SaaS) with its Multi-Tenancy Architecture (MTA). To sup-port multiple tenants, simulation SaaS models need be modeled and customized to fulfill the various functional and quality requirements of individual tenants. The multitude options of tenant-specific...
Macro Fiber Composites (MFC) are planar actuators comprised of PZT fibers embedded in an epoxy matrix that is sandwiched between electrodes. Due to their construction, they exhibit significant durability and flexibility in addition to being lightweight and providing broadband inputs. They are presently being considered for a range of applications including positioning and control of membrane mirrors...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. They are often used to approximate computationally expensive simulation code in order to speed up the exploration of design spaces. A crucial step in the building of surrogate models is finding a good set of hyperparameters, which determine the behavior of the model. This is especially important when...
Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. Distributed simulation techniques...
This research is concerned with the design and evaluation of an Electronic Laboratory Notebook (ELN) for the simulation of chemical processes. It provides quality provenance information for scientists wishing to compare simulation runs with in vitro experimental data. The research is grounded in the EUROCHAMP-2 community. The community uses a benchmark Master Chemical Mechanism (MCM) in order to undertake...
Grey incidence analysis is an important part of grey system theory and is the basis of grey decision-making and grey cluster. At present,for sequences of interval numbers,most degrees of grey incidence of interval numbers are constructed by the distance of interval numbers defined by authors. However results of different degrees of grey incidence defined by the distance of interval numbers are of...
This paper presents a method for multivarible symbolic regression modeling and predicting. The method based on gene expression programming, a recently proposed evolutionary computation technique. We explain in details the techniques of gene expression programming and multivarible symbolic regression with gene expression programming. Furthermore, we give an example to explain this technique, and experiment...
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