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Role analysis helps us characterize users' interactions in a social network. However, previously proposed methods are mainly based on structural analysis of social networks rather than content-based behavior analysis. Therefore, we propose a method to use the content-based behavioral features extracted from user-generated content and behavior patterns to identify users' roles and to explore role change...
In this paper, we propose a credit scoring algorithm to predict seceders of a large Japanese company. We use features based on attributes of customer and genetic algorithm based Bayesian network to detect the seceders. Experimental results on the datasets demonstrate that this method has superior results compared with other recently proposed algorithms, and shows that the proposed method is efficient...
The managerial incentive under network externality is studied by using game theory. The result shows that, the optimal managerial incentive is influenced by network externality. The larger network externality is, the smaller optimal managerial incentives will become. Moreover, network externality always increase equilibrium quantity and profit, but may decrease, increase or not change the equilibrium...
To deal with the problem of emitter platform identification caused by the feature measurement uncertainty of the platform from multi sensors, this paper proposes a new identification algorithm based on interval Dempster-Shafer theory (EDST), which models the identification output of each sensor as interval values and combines the interval outputs through interval evidence combination rules. A number...
An improved reversible data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. The method is an extended subsampling reversible data hiding method. Compared with the previous method, the proposed method has much more room for data hiding. The data hiding capacity is much higher than the previous method while the visual distortion keep...
A reversible data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. In the proposed method, a cover image is reordered into a sequence using space filling curves. For each pixel (except the first pixel) in the sequence, a pixel difference is generated between the pixel and its neighbor pixel. Due to the inherent structure of images causes...
A lossless data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. In the proposed method, a cover image is reordered into a sequence using space filling curves. For each pixel (except the first pixel) in the sequence, a pixel difference is generated between the pixel and its neighbor pixel. Due to the inherent structure of images causes...
This paper proposes a new method to embed data in binary images, including scanned text, figures, and cartoon images. The proposed method is based on the manipulating of chains, which are a representation of binary image, to hide data. The chain records the edge information of an image, and the modifications of chains are modifications of edge area. It is difficult to be recognized by human eyes....
We present recent studies of negative lensing effect observed in several molecular liquids using Z-scan technique and 28 femtosecond 800 nm laser pulses. Raman induced Kerr effect and thermal lensing effect are invoked to explain the sign of nonlinear refraction.
To construct an intelligent biomedical knowledge management system, researchers had proposed many relation extraction methods in past. Before applying these methods, the system has to recognize the name entities in the literature and map the entities to the relative EntrezIDs. The purpose of this study is to automatically and exactly identify the relative EntrezIDs which are mentioned in literatures...
Relationship between neuronal ensemble activities and limb movement is the key issue in brain-machine interface research. Several mathematical methods have been used to extract movement information when performing specific tasks. But how to simply and effectively encode the information underlying the neuronal ensemble activities is still a big challenge for researchers because the neural network is...
The nanoparticle luminescence upconversion nanoparticle with highly effective upconversion luminescence is synthesized and assembled with the molecules of antibodies and photosensitizer for the early diagnosis and therapy of tumour.
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