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Hong, He
- The Research of Group Mobility Model Based on Spectral Clustering Algorithm in Opportunistic Networks
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Authors
Affiliations
1 College of computer and communication, Hunan institute of engineering,Xiangtan，411104, CN
1 College of computer and communication, Hunan institute of engineering,Xiangtan，411104, CN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 5 (2020), Pagination: 4378-4385Abstract
The research on group mobility in the opportunity network concerns what nodes’mobility may bring about, in contrast to the preciously-proposed group mobility approaches that are unilateral in the thoughts of the constitution of groups by nodes, resulting in, the distortion of reality to reflect group behavior characteristics that are revealed in the situations of their application. Based on the Spectral Clustering algorithm, this paper proposes the group mobility model (SCM), which takes the advantage of node ’s own properties, such as its spatial position, to set up node’s affinity matrix, extract main characteristics from arbitrarily distributed nodes with the aid of spectral clustering algorithm, and regarding the needs of a task assigned cluster nodes dynamically in a fixed time. The model depicts truly and effectively the group characteristics of node’s mobility, accomplish the conducts of group mobility and clustering well.Keywords
Opportunistic network, Spectral Clustering, group mobility model.Full Text
- Asymptotical Synchronization of Coupled Time-delay Partial Differential Systems via Pinning Control and Boundary Control
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Authors
He Hong
1
Affiliations
1 College of computer and communication, Hunan institute of engineering, Xiangtan，411104, CN
1 College of computer and communication, Hunan institute of engineering, Xiangtan，411104, CN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 6 (2020), Pagination: 4443-4450Abstract
This paper focus on the asymptotic synchronization issue of coupled time-delay PDSs via pinning control and boundary control. The asymptotic synchronization of PDSs with both node-delay and coupling delay is discussed firstly. Then the pinning controller and boundary controller are also presented in order to achieve the asymptotic synchronization. Further more, synchronization criteria are established by using the Lyapunov function method and inequality techniques. Obviously, it is an efficient control technique to combine the pinning control with the boundary control for the asymptotic synchronization of the PDSs. Finally, an example of digital simulation is used to elucidate the practicability and validity of our control method and the correctness of the theorem.Keywords
Asymptotic Synchronization, Partial Differential Systems, Pinning Control, Boundary Control.Full Text
References
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- Application Research on Satisfaction Evaluation of Clothing Advertising based on Micro Expression Recognition Technology
Abstract Views :136 |
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Authors
Affiliations
1 Textile Engineering, Hunan Institute of Engineering,Xiangtan，411104, CN
2 College of computer and communication, Hunan institute of engineering, Xiangtan，411104, CN
1 Textile Engineering, Hunan Institute of Engineering,Xiangtan，411104, CN
2 College of computer and communication, Hunan institute of engineering, Xiangtan，411104, CN
Source
International Journal of Advanced Networking and Applications, Vol 12, No 4 (2021), Pagination: 4639-4643Abstract
Questionnaire is one of the most important means to collect data and make information decision. In this paper, the micro expression recognition technology of artificial intelligence is applied in the field of print advertising satisfaction collection and information decision-making. Starting with the analysis of micro expression, a new concept of satisfaction factor of print advertising is proposed and then various optimization functions in neural network are analyzed and discussed. In the following part, the Adabound optimization function is applied to the network model in the example of clothing print advertisement and the convergence s peed of the loss function is accelerated in order to improve the detection accuracy of the model. Experimental result shows the satisfaction of the viewers to the clothing print advertisements, allowing researchers to judge their purchase desire at the same timeKeywords
Clothing print advertising; micro expression recognition; satisfaction; Adabound.Full Text
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