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Classifying Web users based on multi-dimensional features is one of the foundations of realizing personalized Web applications. It could be used for user classification model, users' multi-dimensional data analysis, potential user group discovery and personalized recommendation and so forth. In this paper, a variable granularity user classification algorithm based on Web users' multidimensional features...
Trajectory prediction is an important technology for ensuring safety and efficiency of the air traffic. Hybrid estimation algorithm and intent inference algorithm are usually used to make long-term probabilistic trajectory prediction. In this paper, data mining algorithms are used to process the historical radar data and to abstract a typical trajectory library. An improved trajectory prediction algorithm...
Bayesian linear classifier is the basic scheme to solve model classification basing on statistics. Face with the classification of three different nectar plant, the near infrared spectrum data was acquired. The character of the near infrared spectrums is known as litter sample and higher dimension. In this paper, the method has developed to acquire the feature wavelength based on genetic algorithm...
First, this paper correct errors or writing mistakes of narrating SSM and aplicating SSM in China. Secondly, The thesis in foundation of analyzing the characteristic of the 3rd industry structure of Hebei province, taking the entire country for example, adopting shift-share-analysis method (SSM), Comprehensive analysis of the status quo of the industrial structure in Hebei Province, thereby Hebei...
In this paper we propose a new kernel PCA (KPCA) speed-up algorithm that aims to find a reduced KPCA to approximate the kernel mapping. The algorithm works by greedily choosing a subset of the training samples that minimizes the mean square error of the kernel mapping between the original KPCA and the reduced KPCA. Experimental results have shown that the proposed algorithm is more efficient in computation...
This research aims at the bus holding strategies for the simulation of mass rapid transit (MRT) transferring system in a terminal station with platform constraints for bus in the metropolitan area. We developed and evaluated the transfer system through computer simulation models for MRT with bus system that the goals of bus holding strategies in the model were: reduce bus waiting time, reduce passengers...
Clustering analysis based on ant swarm intelligence is discussed. As traditional clustering algorithm is easy to obtain local optimum, it uses ant swarm intelligence to obtain global search. It improves the clustering by locating the objects in a cluster with the probability, which is updated by the pheromone, while the rule of updating pheromone is according to total within cluster variance. According...
The ability of economic data analysis is very important to information major students in economic and economic universities. However, mastering the skill of economic data analysis is not easy to them. The design and construction of a teaching model based on schema theory in economic data analysis curriculum is described, and then it is applied to information major students. The teaching result shows...
This paper proposes a low complexity peak-to-average power ratio estimation scheme for OFDM systems. The new scheme introduces a non-equal-distance estimation based on triangle interpolation, which approximates higher oversampling samples by lower oversampling samples. Simulation shows the new scheme can achieve a good approximating to signal distribution of the real over-sampled OFDM signal. Furthermore,...
In cognitive radio systems, as the sensing ability of single cognitive user is limited, the opportunistic spectrum access has to allow different cognitive users to cooperatively search for and exploit instantaneous spectrum availability. In this paper, we address the design of opportunistic spectrum access for cognitive radio system employing cooperative spectrum sensing. The opportunistic spectrum...
In this paper RF small-signal modeling of SiGe HBTs was presented and its variation with biasing current, voltage and temperatures were discussed especially with the cryogenic temperatures. Direct extraction process and a two-step hot-after-cold optimization were successfully fitted with 1 to 35 GHz Y-parameters. The cryogenic RF circuit and equivalent circuit parameters were examined for its temperature...
This paper proposes a new reversible steganographic algorithm for point-sampled geometry. To the best of our knowledge, our scheme is the first in the literature for recovering the original point-sampled model using little amount of information (two integers and 25 floating points of memory). Our scheme shows high embedding data capacity, being three times the number of points in the models. The scheme...
In this paper, a low complexity joint spreading and inverse fast Fourier transform (S-IFFT) processing for multicarrier code-division multiple access (MC-CDMA) is introduced. Using the orthogonality transformation property of IFFT, the frequency domain spreading is applied during the IFFT processing for complexity reduction. Moreover, we propose a class of low complexity architecture for the uplink...
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