Fuzzy Description Logics (DLs) are a formalism for the representation of structured knowledge that is imprecise or vague by nature. In fuzzy DLs, restricting to a finite set of degrees of truth has proved to be useful...
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Classical ontologies are not suitable to represent imprecise or vague information, which has led to several extensions using non-classical logics. In particular, several fuzzy extensions have been proposed in the lite...
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The ubiquitous learning is used as a means of supporting teaching processes by means of the use of mobile and wireless communication technologies, sensors and tracking mechanisms / tracking, working together to integr...
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The ubiquitous learning is used as a means of supporting teaching processes by means of the use of mobile and wireless communication technologies, sensors and tracking mechanisms / tracking, working together to integrate students with their environment. The process of clinical learning for nursing students may be the main cause of increased stress on teachers and students, given the problematic nature of the patients. This paper presents an ubiquitous learning system based on active learning methodology that provides context awareness support for nursing courses. An experiment with control and experimental groups with nursing students demonstrates that for theoretical concepts to be successfully transferred into practice, the context of practice needs to be considered.
The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propos...
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The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propos...
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ISBN:
(纸本)9781479901807
The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propose the design and implementation of a logger to collect relevant failure data from iOS devices, such as iPhone and iPad. The preliminary use of the logger on real-world devices shows that it is able to collect meaningful failure data and to provide interesting insight on the dependability behavior of iOS.
With the advent and rapid spread of microblogging services, web information management finds a new research topic. Although classical information retrieval methods and techniques help search engines and services to pr...
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Content providers are often accused of free riding by exploiting the network to distribute their content without sharing their revenues with the network providers. In order to assess the correctness of such an accusat...
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Content providers are often accused of free riding by exploiting the network to distribute their content without sharing their revenues with the network providers. In order to assess the correctness of such an accusation, we set up a game-theoretical model, where content providers releasing their contents for free and under the payment of a usage-based charge are both present. In this model, the network provider charges both content providers a usage-based charge (network charge) as well. The network provider and the paid content provider act as the players, using the respective retail prices as strategic leverages. Both the cases where network charges are set by the network provider and by a regulatory authority are examined. The Nash equilibrium is determined in a closed form. In a typical scenario, the solution represented by zero network charges maximizes both the network provider's revenues and the social welfare: free riding for content providers appears as the best choice under both the viewpoints of the selfish network provider and the regulatory authority.
This paper presents a secure image cryptography telecom system based on a Chua's circuit chaotic noise generator. A chaotic system based on synchronised Master-Slave Chua's circuits has been used as a chaotic ...
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Feature selection is an active research in machine learning. The main idea of feature selection is to choose a subset of available features, by eliminating features with little or no predictive information, and featur...
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ISBN:
(纸本)9789898565334
Feature selection is an active research in machine learning. The main idea of feature selection is to choose a subset of available features, by eliminating features with little or no predictive information, and features strongly correlated. There are many approaches for feature selection, but most of them can only work with crisp data. Until our knowledge there are not many approaches which can directly work with both crisp and low quality (imprecise and uncertain) data. That is why, we propose a new method of feature selection which can handle both crisp and low quality data. The proposed approach integrates filter and wrapper methods into a sequential search procedure with improved classification accuracy of the features selected. This approach consists of steps following: (1) Scaling and discretization process of the feature set;and feature pre-selection using the discretization process (filter);(2) Ranking process of the feature pre-selection using a Fuzzy Random Forest ensemble;(3) Wrapper feature selection using a Fuzzy Decision Tree technique based on cross-validation. The efficiency and effectiveness of the approach is proved through several experiments with low quality datasets. Approach shows an excellent performance, not only classification accuracy, but also with respect to the number of features selected.
This paper presents a mathematical technique for modeling the generation of Grid-solutions employing a Case based reasoning system (CBR). Roughly speaking, an intelligent system that tries to be adapted to highly dyna...
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