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In the data-driven framework of fault detection system design, both faults and normal conditions can be viewed as different patterns and thus can be distinguished by ways of pattern recognition. This paper first generates four data sets by means of simulation and then deals with three kinds of faults in the ship propulsion system through softmax classification, which is a widely used method in multi-class...
When running data intensive scientific workflow in multiple data centers environment, it is inevitable that massive data movement will be caused. The emergence of cloud computing technologies offers a new way to develop scientific workflow systems, and using dataset replicas to reduce data transfer among data centers is an import issue. In this paper, we propose a group based genetic algorithm which...
Abstract-This paper describes a universal thermal dynamic non-linear model for water tube drum boilers. The model that suit for model-based control is derived from first principles. It can be characterized by a few physical parameters that are easily obtained from construction data and steam tables. And the model is developed which enables the prediction of riser temperature of water tube boilers...
Semantic scene interpretation as a collection of meaningful regions in images is a fundamental problem in both photogrammetry and computer vision. Images of man-made scenes exhibit strong contextual dependencies in the form of spatial and hierarchical structures. In this paper, we introduce a hierarchical conditional random field to deal with the problem of image classification by modeling spatial...
For instance the evaluation of an Olympic problems in this paper, Firstly we collected statistical data of various factors through the establishment of the model of grey relational degree. Then quantitative analysis using the model of these factors impact on the evaluation of the object and come to affect the degree of ranking. The use of a wide range of the models in agricultural economics, water,...
This paper gives a method and finally gets twelve marketing risk assuming factors based on 35 middle-sized Communications and related equipment manufacturing enterprises by statistical methods like PCA, D-S evidence theory, and fuzzy evaluation. Then we build marketing risk assessment model by probabilistic reasoning model based on Bayes network. Also there is an example to prove the method's feasibility...
Researchers pay more attention to the LEO (low earth orbital) collision simulation after the collision of US-Russia satellites this year. In the LEO collision simulation, the positions and the attitudes of LEO satellites and the positions of space debris are simulated, and then the times and the orbital positions of possible collisions are calculated. Since there are large-scale LEO objects, it is...
Motivated by the success of ensemble methods in supervised learning problem, cluster ensembles have started to gain an increasing interest. Since the absence of labeled training data, cluster ensemble is a more challenging task than multiple classifiers system. In this paper, a novel weighted combination model of multiple partitions was proposed, in which particle swarm optimization algorithm was...
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