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Forwarding messages in opportunistic networks incurs costs for nodes in terms of storage and energy. Some nodes becomes selfish or even malicious. The selfish and malicious behaviors depress the connectivity of opportunistic networks. To tackle this issue, in this paper, we propose CARISON: a community and reputation based incentive scheme for opportunistic networks. CARISON allows every node belongs...
The analysis of electroencephalogram (EEG) signal is a low-cost and effective technique to examine electrical activity of the brain and diagnose brain diseases in the Brain Computer Interface (BCI) applications. Classification of EEG signals is an important task in BCI applications. This paper investigates two common methods of feature extraction on EEG signals, autoregressive (AR) model and approximate...
Teaching ability evaluation of professional teachers is an important means of teaching management to the related teaching department, and it plays a very important role in enhancing the teaching ability of teachers and the quality of teaching. In this paper, by analyzing the disadvantages of traditional evaluation methods, an evaluation model of university teachers' teaching ability is put forward...
Multiple linear regression (MLR), the principal components analysis (PCA) and partial least squares (PLS) method are the traditional chemo metric methods in the near infrared spectral analysis. However", "these linear methods could not obtain the very good predicted accuracy. in this paper, the research on application of Fuzzy Pattern Recognition to qualitative analysis of Near infrared...
The BA model and BA extend model described the number of nodes linked, but the researchers believe the nodes have the highest number of links if the timeframe is enough long. However, the real system not only depend on timeframe, hence, we proposed a new network evolving model which has attractive factor, the number of links of nodes have relate with attractive factor. If new nodes have enough attractive...
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