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Wireless location is one of the core technologies of Wireless Sensor Network. In many applications, the accuracy of the location is the precondition of the useful of data information the node collected. Under the premise of cost limits, improving the accuracy of wireless sensor node position has crucial significance. After analyzing reasons of the location weakness of Dv-Distance algorithm due to...
AdaBoost algorithm is proved to be a very efficient classification method for the balanced dataset with all classes having similar proportions. However, in real application, it is quite common to have unbalanced dataset with a certain class of interest having very small size. It will be problematic since the algorithm might predict all the cases into majority classes without loss of overall accuracy...
Particle swarm optimization algorithm is a kind of auto-adapted search optimization based on community.But the standard particle swarm optimization has the defects of prematurely, stagnation when applied in optimizing problems and easily leading to local minimum. A modified particle swarm optimization algorithm is proposed to improve from the initial solution and the search precision. The results...
As the current level of the people-counting, on the consideration of the cost of the acquisition equipment and the acquisition accuracy, the customer-counting system is constructed based on RBF neural net using technology of infrared photoelectric sensor. For better differential count, extant data segmentation and the method of feature extraction is improved based on the feature of passenger-counting...
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