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Data fusion techniques can combine data and related information to achieve more accurate and reliable data. However, data fusion is not considered in ZigBee protocol, which also limits the range of application of ZigBee protocol. This paper discusses data fusion algorithms in ZigBee application layer and radio frequency communication times are remarkably reduced with the help of data fusion algorithms...
The objective of this study was to develop a computerized empty glass bottle inspection method in an attempt to replace manual inspection. The inspection system structure based on machine vision was illustrated in the article. Morphologic methods and wavelet transform were used to extract features of the bottle body and the finish from images. The fuzzy support vector machine neural network was adopted...
Effective management of a supply chain requires the ability to detect unexpected variations at an early stage, which brings the possibility of taking preventive decisions to mitigate the variations. This paper proposes a methodology that monitors the dynamic trends of supply chain performance indicators, and gives early-warnings for potential risks. Initially, a supply chain model is built using system...
In this thesis, the radar echo reflectivity of severe precipitation in the flood season of Changjiang-Huaihe area was identified by a Back-Propagation (BP) Model of Artificial Neural Network (ANN). The trained network was applied in a precipitation progress in the same area in 2001. The results illustrate that: the single hide-layer BP ANN can be used to identify the target radar echo at a high succeed...
The Multi Expression Programming (MEP) and Neural Network (NN) is applied to the crack fault diagnosis of structure. The inherent frequency and the position of the crack obtained by ANSYS are used as parameters of the neural network. This approach employs MEP to evolve the architecture and the parameters encoded in the NN. This framework allows input variables selection, over-layer connections for...
Car plate recognition is a very important issue in many traffic related applications, and the enhancement process of car plate image is the key step at the very beginning. Its effect relates to the efficiency and precision of car plate localization and recognition directly. This paper brings forward a new car plate image enhancement method based on a simplified PCNN with the parameters determined...
This paper presents a new method based on bootstrap technique for modulation recognition under the low SNR and multi-path conditions. The bootstrap method is performed when only few samples are available at the receiver. A new neural network is also proposed to select effective features and classifies signals. Extensive simulations show that the new method has preferable performance in low SNR and...
The growth of urban areas into forested and agricultural lands is a local and global planning issue of great concern. The proposed model is hence based on the raster data model. The raster-based GM is implemented using object-oriented Microsoft Visual C++ programming under the Microsoft Windows environment. To satisfy more analysis methods expended for this system, such as CA and neural network models,...
Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB software to simulate failure problems such as the emergence of regular power, short circuit and broken circuit...
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