It is inadequate considering only one aspect of spatial information in practical problems, where several aspects are usually involved together. Reasoning with multi-aspect spatial information has become the focus of q...
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The existing 3D direction models approximate spatial objects either as a point or as a minimal bounding block, which decrease the descriptive capability and precision. Considering the influence of object's shape, ...
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At present, qualitative spatial reasoning has become the hot issues in many research fields. The most popular models of spatial topological relations are Region Connection Calculus (RCC) and 9-intersection model. Howe...
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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...
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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.
Description Logics are formalisms for representing knowledge of various domains in a structured and formally well-understood way. Typically, DLs are limited to dealing with precise and well defined concepts. In this p...
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ISBN:
(纸本)9781601320254
Description Logics are formalisms for representing knowledge of various domains in a structured and formally well-understood way. Typically, DLs are limited to dealing with precise and well defined concepts. In this paper we first present a fuzzy extension of ALC and define its syntax and semantics. Then we devote to taking advantage of the expressive power and reasoning capabilities of fuzzy ALC by encoding flexible planning problems within the framework of fuzzy ALC. Both theory and experimental results have shown that our method is sound and efficient.
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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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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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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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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