A novel dynamic software watermark scheme based on the Shamir threshold and branch structure is presented. First, we split the watermark into a set of shares using the Shamir threshold scheme. Second, these values are...
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A novel dynamic software watermark scheme based on the Shamir threshold and branch structure is presented. First, we split the watermark into a set of shares using the Shamir threshold scheme. Second, these values are encrypted with the DES block cipher that forms the watermark shares to be embedded into different methods of program according to the dynamic behavior of the branch structure. Our scheme can withstand most semantics-preserving attacks and can retrieve the original watermark based on partial information. Simulation tests show that our scheme is very robust, stealthy and has a high price performance rate compared with other methods.
Ontologies are widely used for capturing and organizing knowledge of a particular domain of interest, and they play a key role in the Semantic Web version, which adds a machine tractable, repurposeable layer to comple...
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Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in t...
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Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebb as well as soft competitive learning. The soft competitive learning cannot only let SLNN be able to learn from new data but also prevent it from losing the knowledge that has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN, which does not disobey the basic design philosophy of fuzzy system. Simulations are performed on the primary benchmarks: circle-in-the-square, two spirals apart, UCI machine learning archive's synthetic control chart time series, and KDDCUP'99 data set. Compared with fuzzy ARTMAP, BP and hierarchical neuro-fuzzy quadtree (HNFQ), the fuzzy neural network achieves higher performance.
An EEG signal detection ensemble system to solve the low rate of vision detection is developed when analysis so many EEG signals. A novel FastICA method is presented, in which the independent component analysis approa...
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Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Pee...
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept ...
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.
Gene expression is the transformational procedure from genetic information of genome to proteome which affect the life activities of cells. The Regulation of gene expression determines the structure, quantity and func...
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For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on t...
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For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on the prediction information of the mobile node, the mechanism automatically produces dynamic policies to do admission control and to prepare resources before handoff occurs. And then it uses core policies existed as reference and applies product space conditional event algebra to trigger enforcement of dynamic policy. When the resources in access domain fell short of mobile nodes' requisition, it adopts "step back" arithmetic to update dynamic policies to further adjust resource possession according to the priority to assure the services credibility. By analysis, it is shown that this scheme can guarantee QoS of applications with higher priority and significantly improve the success rate of handoff. Also this management model is much more flexible than traditional methods.
This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic...
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ISBN:
(纸本)1901725340
This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed descriptors samples the phase angles information and amalgamates them into 10 overlap squares with 8-bin orientation histograms. The experiments show that the proposed descriptors are better than SIFT and other standard descriptors. Essentially, the Hilbert-Huang Transform based descriptors can belong to the class of phase-based descriptors. So it can provides a better way to overcome the illumination changes. Additionally, the Hilbert-Huang transform is a new tool for analyzing signals and the proposed descriptors is a new attempt to the Hilbert-Huang transform.
Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distri...
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Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.
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