Natural language is inherently fuzzy. Medium Logic (ML) reveals that the essence of language fuzziness is the intermediary state of its semantics, and the measuring of Medium Truth Degree (MMTD) is the tool quantifyin...
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Smartphone use and dependability have increased substantially in recent years, as have malicious attempts to compromise mobile devices with various malware. Therefore, smartphones must have an active malware detection...
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A communication system combining multi-code and multi-carrier techniques is analyzed in this paper. The system is denoted as Multi-Code Multi-Carrier CDMA (MC/MC-CDMA). The analytical framework is presented and system...
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This paper proposes a serving base station (SBS)-controlled fast target base station (TBS) selection scheme for Mobile WiMAX networks. Utilizing the novel principle of orientation matching (OM) between the geographica...
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A Semantic Web is able to describe things in such a way that computers can understand easily. Statements are built using syntax rules, which are the rules for building the language. The Semantic Web is not about links...
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Information security is currently a major problem for data communication. Cryptography has emerged as a treatment and is essential to information security systems. Techniques for encryption can effectively prevent att...
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In the medical business, the Internet of Medical Things (IoMT) has turned into a specialist application framework. It is utilized to accumulate and break down the physiological boundaries of patients. The vital body p...
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Robust adaptive controllers for multivariable nonlinear systems with fast convergence rate are designed, in spite of unwanted effects of external disturbances and input constraints. The proposed adaptive controller gu...
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This paper addressed the development of an augmented reality (AR) based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil leakages sensors datasets. Sens...
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This paper addressed the development of an augmented reality (AR) based scientific visualization system prototype that supports identification, localisation, and 3D visualisation of oil leakages sensors datasets. Sensors generates significant amount of multivariate datasets during normal and leak situations which made data exploration and visualisation daunting tasks. Therefore a model to manage such data and enhance computational support needed for effective explorations are developed in this paper. A challenge of this approach is to reduce the data inefficiency. This paper presented a model for computing information gain for each data attributes and determine a lead *** computed lead attribute is then used for the development of an AR-based scientific visualization interface which automatically identifies, localises and visualizes all necessary data relevant to a particularly selected region of interest (ROI) on the network. Necessary architectural system supports and the interface requirements for such visualizations are also presented.
A Botnet is a malicious network that can be leveraged in a wide range of cyber-attacks with possibly catastrophic results. Consequently, botnet detection is a high priority. In the past few years, many studies have be...
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