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For the current problems in the security situation of colliery equipment ,and based on non-linear relationship among the parameters of colliery equipment ,this paper presents a method for forecasting the safety of colliery equipment based on BP neural network.By using BP neural network in the colliery safety equipment monitoring and warning issues,we established a multi-index comprehensive monitoring...
In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dempster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental...
With the development of database technology and the popularity of Internet, the database applications have been increasingly widespread; we must face on some serious database security. The database system is the aggregates of the message, and it is the core components of the computer message system. The security of database is very important; it is related to the success of enterprise and national...
In Service Oriented Architecture, Quality of Service (Qos) represents an important issue which is often considered when selecting and composing services. For receiving up-to-date information, non-functional properties can be continuously monitored using current methods. Because of the occurrence of monitoring at every time of service calling, the current methods imposes some overhead on the SOA. The...
The emerging computational grid infrastructure consists of heterogeneous resources in widely distributed autonomous domains, which makes job scheduling very challenging. Although there is much work on static scheduling approaches for workflow applications in parallel environments, little work has been done on a real-world Grid environment for industrial systems. Utility Management Systems (UMS) are...
A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network...
In order to improve the recognition rate of the early fire, this paper analyzed the relationship between the image resolution and fire recognition rate from the application point of view. On this basis, we have adopted the Dmpster-Shafer evidence theory and carried on the recognition experiment to the different resolution fire image under different environmental conditions. The simulation experimental...
A seismic event trigger is one of the key features of field seismometers. The classical Short Time Average and Long Time Average ratio (STA/LTA) trigger has been widely used but there are still some limitations. More advanced techniques for seismic event triggers have been proposed; however, they mostly require a rather high level of computational resources. This paper discusses an implementation...
Self-healing in systems is one of the main characteristics of Autonomic Computing (AC). In this regard the challenge is how to implement self-healing systems in real time, since online learning is required so that the running system is tuned and adapted automatically, based on the current changes of the system's behavior. In this paper, to overcome the challenges associated with self-healing comprising...
The paper suggests the methods for learning compact representation of the optimal decision policies in a Markov decision process (MDP) framework for sensor-network based human health monitoring systems. The learning of a small decision policy is key to deploying the model in small sensor nodes with limited memory. The decision process enables distributed sensor nodes to adapt their sampling rates...
This paper presents two artificial neural network (ANN) structures to estimate the depth of anesthesia (DOA). First, a clinical study involved on 33 patients is proposed to construct reference data and also to compare the results with BIS monitor (Aspect Medical, Vista), which represents satisfactory correlation with clinical assessments. Secondly, to extract features from electroencephalogram (EEG)...
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