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Nitrogen oxides (NOx) reduction technique is one of the hot topics for Diesel engine developers. In the SCR system, the required urea dosing quantity is calculated from the diesel engine raw emissions, so the estimation of the engine raw emissions is very important,. Because of the complexity and the nonlinearity of the engine model, the estimation results are always not satisfied, especially when...
This paper proposed a structured p2p model called balance-peer, introduce a method to partition the data rang without any global information on the load to. Our Balance-peer model is used to realize a partition-by-keyword indexing service based on DHT with each node in the system responsible for part of the keywords of the inverted index list. In this paper we use the concept of data partition in...
Artillery training with real equipment costs a lot and inefficient. Designed this type of artillery simulation training system can accomplish the training task in low cost. The master control computer software is the communication core of the whole system, applying the object-oriented and modular design ideas to interface designing, the use of VC++2005 programming and multi-thread programming, we...
In view of the actual requirement of UAV electronic warfare and the use of virtual reality technology and visualization technology, we establish a platform for virtual simulation system and analyze the main functions of various modules including the data link simulation, electromagnetic simulation environment, and tactical simulation exercise in the system. And then we expatiate the methods and steps...
This paper analyzes Chinese smoking behavior based on the dataset of a large scale national sampling survey in 2005. Probability of smoking and cigarette demand are estimated. Price elasticity of demand is calculated which is recommended to support making policy of tobacco control.
In order to deal with massive data sources in Web, this paper provides a unified conceptual model facing different format data sources-SDSModel and a semantic similarity analysis method based-SDSModel. This method proposed by this paper is semantic-driven and only needs a small amount of manual intervention.
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