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In order to solve the problems with rescue target detection under complex sea environment, the research on object detection on the sea surface based on multi-spectral analysis and machine vision is presented in this paper. Firstly the difficulties and features of weak target detection and its complex sea background are discussed and the multi-spectral image acquisition and pre-processing method suitable...
Locating individual congested links in large scale networks is an important but difficult problem, because of the hardness to directly measure the massive links. Current advantages of network tomography propose to infer the link congestion states by end-to-end measurements via solving a set of linear equations in Boolean algebra. But one challenging problem in such approaches is the requirement to...
In order to improve the safety management level of the work vessel in deep water, the Fault Tree Analysis method is introduced in this paper. By taking a famous accident of the work vessel as an example, the Fault Tree Analysis method is used to make clear of the direct reasons and also underlying causes of the accident after qualitative analysis based on a comprehensive fault tree built for the accident...
With the development of electronic technology, information technology and other high-tech, the marine simulator was more and more advanced and perfect. It can be said that modern maritime education and training has been inseparable from the navigation simulators. However, the application is not very satisfactory in some aspects, especially in the standardization of training and assessment. After illustrating...
The navigation-aid information is the basic and one of the most important information for the marine traffic safety. The reasonability of the placement of aids to navigation will directly influence the marine traffic safety, and also have a close relation with the efficiency of the maintenance of the aids. Because of the development of ports and fairways, the increasing demands of the seafarers on...
This article firstly briefly introduces the principle of the non-linear Support Vector Regression Machine in the Support Vector Machines. Subsequently in order to improve and optimize the traditional Support Vector Regression Machine, Least Square Algorithm is adopted and Two-layer Planar Structure Optimization Method is put forward. Then the vessel traffic volume prediction model based on the optimized...
In order to analyze the performance of control system affected by scheduling in networked control system (NCS), the guaranteed cost control (GCC) is researched integrating network scheduling. A scheduling model of NCS is established with communication constraint on input and feedback channels. Utilizing communication sequence to express the instance of scheduling, the model can be transform into uncertain...
A predictive control based on online LSSVM (least squares support vector machine) is proposed to aim at the problem of varying sampling period in NCS (networked control system). Utilizing training data window and training data threshold, an online training method which adapts to control systems is developed based on LSSVM. When kernel function is linear in online LSSVM, the solution of control variable...
Recently manifold learning algorithms researches have been motivated by the idea of modelling high dimensional data using approximate low dimensional submanifold of the original space. In this paper, two manifold learning algorithms, locally linear embedding (LLE) and isometric feature mapping (Isomap), are proposed to apply to speech phoneme feature data extracted from TIMIT corpus in an effort to...
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