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This paper considers interactive transmissions in the presence of omniscient Byzantine attacks. Unlike prior papers, it is assumed that the number of transmissions, the number of erroneous transmissions therein, and the direction of each transmission are predetermined. Besides, the size of the alphabet in each transmission is unequal and predefined. Using these transmissions, two nodes communicate...
An improved classifier based on nearest feature line, is proposed in this paper. The new classifier is called as limited nearest feature line (LNFL). The purpose of LNFL is to improve the miss-classification of nearest feature line when the prototypes in NFL are far away from the query sample. A lot of experiments are executed on ORL and AR face database. And the detailed comparison result is given...
In this paper, we propose a very simple face recognition method. This method first exploits a linear combination of all the training samples to express the test sample. Then it evaluates the capability of each class in expressing the test sample and assigns the test sample to the class that has the strongest capability. Using the expression result, the proposed method can classify the testing sample...
By using Gaines and Mawhin's continuation theorem of coincidence degree theory, we studied the global existence of positive periodic solutions of a predator-prey diffusive model with ratio-dependence and feedback control. We obtain a set of verifiable sufficient conditions to guarantee the existence of positive periodic solutions of the system, which improve some known results.
This paper analyzes the influence of the photovoltaic (PV) inverter on photovoltaic simulator based on the small signal model for the purpose of improving the performance of the photovoltaic simulator. Since the photovoltaic simulator works cascading photovoltaic inverter, the input impedance of the inverter could change the characteristic of the simulator. Hence, some special requirements should...
in this paper, a three-layer Discriminative-Adaptive Neural Network algorithm (DANN) is proposed in indoor Positioning System. By using Multivariate Discriminant Analysis, a weight matrix could be acquired, then it could input these weighting signals into the Neural Network for training, and it could get a minimum mean square error, finally, we could get the Minimum error positioning results. Experimental...
This paper has analyzed the efficiency and the factors of Chinese university science parks using the DEA-Tobit model by the cross-section data in 2008. The results show: 21 university science parks are inefficient DMUs, and amongst 16 of them are ineffective vrste, five are ineffective scale. To improve the efficiency of the university science parks, the former should start with the vrste, namely...
The concept of concurrent signatures was first introduced by Chen et al. at Eurocrypt 2004. In a concurrent signature scheme, users produce ambiguous signatures that are only verifiable by the users themselves but not by any other outsiders until the release of an extra secret called the keystone. Once the keystone was released, all the signatures become binding to their signers concurrently and anyone...
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