Information2015, 6(3), 432-442; doi:10.3390/info6030432 - published 28 July 2015 Show/Hide Abstract
Abstract: In this paper a Sliding Mode Control scheme (SMC) applied to the Permanent Magnet Synchronous Motor (PMSM) speed control is designed and improved. A Fuzzy logic algorithm is added to mitigate chattering caused by discontinuous term in steady states, and to ensure good performances of the controller in transient states. The proposed Fuzzy-SMC performance is tested in simulation and experimental results are obtained using eZdsp F28335.
Information2015, 6(3), 411-431; doi:10.3390/info6030411 - published 27 July 2015 Show/Hide Abstract
Abstract: The connection between semantic information and evolution has gained growing attention recently. Evolution in this contribution—as in others before—we consider as being driven by information. Semantic information, as we consider it, is based on energy. It follows syntactic and semantic rules. We assume syntax, semantics and pragmatics to be structural features of information in biological evolution. These features started to evolve with the very beginning of life and have become more complex and richer in the course of the unfolding biological evolution across all species. We argue that semantic information is an exclusive feature of biological evolution. We present an information model covering this which to a certain degree—it does not cover quantitative aspects—complements Shannon’s information theory and opens novel views on informational based processes in nature.
Information2015, 6(3), 399-410; doi:10.3390/info6030399 - published 21 July 2015 Show/Hide Abstract
Abstract: In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a realtime ns-3 simulation. Analytic Hierarchy Process (AHP) provides the weights of attributes which allow the comparison in different types of applications. Therefore, we propose a performance evaluation model with a reconfiguration of AHP parameters used in the literature. Simulation results show that the proposed parameters provide an improvement of Delay and offer allowable Packet loss in different types of applications.
Information2015, 6(3), 388-398; doi:10.3390/info6030388 - published 17 July 2015 Show/Hide Abstract
Abstract: One of the most important roles in the machine learning area is to classify, and neural networks are very important classifiers. However, traditional neural networks cannot identify intervals, let alone classify them. To improve their identification ability, we propose a neural network-based interval matcher in our paper. After summarizing the theoretical construction of the model, we take a simple and a practical weather forecasting experiment, which show that the recognizer accuracy reaches 100% and that is promising.
Information2015, 6(3), 375-387; doi:10.3390/info6030375 - published 17 July 2015 Show/Hide Abstract
Abstract: The protocols for controlled remote state preparation of a single qubit and a general two-qubit state are presented in this paper. The general pure three-qubit states are chosen as shared quantum channel, which are not Local operations and classical communication (LOCC) equivalent to the mostly used GHz state. This is the first time that general pure three-qubit states have been introduced to complete remote state preparation. The probability of successful preparation is presented. Moreover, in some special cases, the successful probability could reach a unit value.
Information2015, 6(3), 361-374; doi:10.3390/info6030361 - published 17 July 2015 Show/Hide Abstract
Abstract: In the field of information theory, statistics and other application areas, the information-theoretic divergences are used widely. To meet the requirement of metric properties, we introduce a class of new metrics based on triangular discrimination which are bounded. Moreover, we obtain some sharp inequalities for the triangular discrimination and other information-theoretic divergences. Their asymptotic approximation properties are also involved.