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Ports are rally points and hubs of water and land transportation, important nodes of the internet of things as well, which are inevitably susceptible to surrounding meteorological environment. To address this issue, a comprehensive environment monitoring system with early warning and linkage control is presented in this paper. First, our system can monitor surrounding meteorological environment data...
In order to meet intelligent requirement of the expert system in the process of fault diagnosis, a fault diagnosis system architecture which based on self-learning ontology was proposed in this paper. The fault diagnosis knowledge structure was defined; the relevant structure ontology and core fault ontology were constructed. Based on design of data warehouse of fault diagnosis, the decision tree...
Many researches indicate that a great number of failures occur in the tribological system which will reduce the reliability of the marine diesel engine. Therefore, it is necessary to monitor the condition and identify the fault mode of the engine. In this paper, remote fault diagnostic technology is developed to take full advantage of the online oil monitoring system and the laboratory analysis for...
In road traffic, there exists foggy condition very often. The foggy affects traffic efficiency, even leads to traffic accidents. So it is important to measure the visibility in foggy road traffic.With this problem, two foggy estimated algorithms are proposed in this paper. In first algorithm, two images are used to estimate visibility to gather with Atmospheric Scattering Model.The two image must...
In view of wide difference dielectric constant between water and petroleum products, an approach to on-line moisture content measuring in petroleum products via the technique of electromagnetic resonance is proposed. In this paper, the principle of moisture content measuring is introduced in detail first, and how to design capacitive sensor and measuring circuit is followed. Finally, how to avoid...
Foggy images in traffic is a special class of degraded images, and the enhancement or restoration of these image is very important for traffic safe. The histogram equalization or local histogram equalization is applied to these images directly will lead some distortion. The degraded model based on scene depth estimated is a effective algorithm for this situation, but it depends on the scene depth...
For most of optical microscopes, the fact that a point light source is adopted results in the nonuniform distribution of illuminance. As a result, for the ferrography image gained using optical microscopy, the image pixels are brighter in the centre than in the edge. Undoubtedly, this will influence significantly the precision of binary image segmentation which is a key step to gain the characterization...
For ordinary degraded images, there have been many effective methods to correct them, one of which is the histogram equalization. But if histogram equalization or local histogram equalization approach is applied directly on foggy images in traffic, a special class of degraded images, it will lead some distortion. The degraded model based on scene depth estimation is an effective algorithm for this...
Genetic algorithm (GA) has strong adaptability, robustness and the quick global searching ability. It has such disadvantages as premature convergence, low convergence speed and so on. Ant colony algorithm (ACO) converges on the optimization path through pheromone accumulation and renewal. It has the ability of parallel processing and global searching and the characteristic of positive feedback. But...
In bad weather, such as foggy, the vision become poor, and this often induce many problems for traffic safety. So it is a hot research subject how to improve the vision ability for bad weather in traffic, and there are many achievements have been made. Among these the single scale Retinex algorithm is a common used method, which was proposed by Land. According this theory, any obtained image can be...
During special events in urban transport network, traffic flow supported by route network is obviously different to that in normal circumstance. In the process of special events evacuation, itpsilas not only hoped a mass flow can be evacuated to some shelters, but also wished the evacuation time minimum. Therefore it is a problem to find a MinCost-MaxFlow in transport network. In this paper, the traditional...
When drivers moved in foggy weather, traffic accident often happened because of poor vision. Many research works have been done to this subject by scientists. One of these is the retinex theory, according to which, only the information reflected the objects' own characteristics are preserved, and some uncertain factors, such as the intensity of the light and the non-uniformity of the irradiation,...
The multi-agent system, which combines the cellular automata model, is of benefit to the simulations of large-scale events. Cars' movements were simulated using cellular automata model and their variability was introduced by superimposing agent. There were two submodels which based on the combined model. The first submodel simulated cars' movement in a park. The other submodel was proposed to simulate...
Driver's route choice has become a hot issue in the field of traffic research in the last years. However, most of the researches didn't pay attention to the relationship between the driver's route choice and the traffic control signal. Obviously, driver's dynamical route choice is notable affected by delay due to crossing signal control in his running course. On the other hand, the familiarities of...
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