Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of *** power management is a system level solution for reducing the consumed energy with putting o...
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Nowadays having the most energy efficiency is desirable in its own right from both economical and environmental points of *** power management is a system level solution for reducing the consumed energy with putting off unused parts of the system and putting them on in an efficient *** Emotional Learning Algorithm has been introduced to show the effect of emotions as well known stimuli in the quick and almost satisfying decision making in *** remarkable properties of emotional learning,low computational complexity and fast training,and its simplicity in multi objective problems has made it a powerful methodology in real time control and decision systems,where the gradient based methods and evolutionary algorithms are hard to be used due to their high computational *** the emotional approach has been successfully used to obtain multiple objectives in prediction problems of real world *** first we introduce methods of dynamic power management and then a new method based on BELBIC would be *** simulation results show that this method has a high efficiency in various systems.
In this paper a coevolutionary algorithm is developed to find the Nash equilibrium (NE) points of nonlinear games. Using the global search property of the evolutionary strategy enables the proposed algorithm to find t...
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In this paper a coevolutionary algorithm is developed to find the Nash equilibrium (NE) points of nonlinear games. Using the global search property of the evolutionary strategy enables the proposed algorithm to find the admissible NE and escape from trapping in local optimums. Several numerical examples are presented to show the effectiveness of this method for both dynamic and static games.
Phase-randomization is an important assumption in many security proofs of practical quantum key distribution (QKD) systems. Here, we present the first experimental QKD with reliable active phase-randomization. A polar...
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This paper proposes an algorithm for optimization inspired by the imperialistic competition. Like other evolutionary ones, the proposed algorithm starts with an initial population. Population individuals called countr...
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This paper proposes an algorithm for optimization inspired by the imperialistic competition. Like other evolutionary ones, the proposed algorithm starts with an initial population. Population individuals called country are in two types: colonies and imperialists that all together form some empires. Imperialistic competition among these empires forms the basis of the proposed evolutionary algorithm. During this competition, weak empires collapse and powerful ones take possession of their colonies. Imperialistic competition hopefully converges to a state in which there exist only one empire and its colonies are in the same position and have the same cost as the imperialist. Applying the proposed algorithm to some of benchmark cost functions, shows its ability in dealing with different types of optimization problems.
We report the first experimental demonstration of one-way Gaussian-modulated coherent state quantum key distribution system over kilometers of standard telecom fiber. Under realistic assumptions, the achievable secret...
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Recommender systems intend to help users find their interested items from among a large number of items. We continue our previous work that emphasizes on "prioritized user-profile" approach as an effective a...
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Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direc...
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This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive...
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This paper examines the use of receding horizon control technique to stabilize a 6 degree-of-freedom model of a tri-turbofan remote controlled indoor airship. The lateral-directional dynamics of the airship are simula...
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This paper examines the use of receding horizon control technique to stabilize a 6 degree-of-freedom model of a tri-turbofan remote controlled indoor airship. The lateral-directional dynamics of the airship are simulated using a linear parameter varying force model that has been verified against actual flight test data. Due to the varying dynamics of the airship as it transitions between different flight modes, the problem of developing robust controllers due to model uncertainty becomes challenging. A receding horizon control implementation formulated as a linear matrix inequality optimization problem is implemented in order to introduce robustness to the changing dynamics of the airship model.
In ultrasound elastography, the strains in the axial direction are usually calculated by applying gradient operator on the estimated axial displacements. Unfortunately, the direct gradient operation also amplifies the...
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In ultrasound elastography, the strains in the axial direction are usually calculated by applying gradient operator on the estimated axial displacements. Unfortunately, the direct gradient operation also amplifies the noises. In this paper a novel smoothing-spline based strain estimation (SSSE) method for estimating the distribution of the soft tissue axial strains from displacement estimates is presented. First, a cubic smoothing-spline is estimated to approximate the axial displacements and then axial strains are calculated as derivative of the estimated spline. The simulation and experimental results showed that the new method can improve the elastographic contrast-to-noise ratio (CNR e ) and signal-to-noise ratio (SNR e ) of the estimated elastogram without sacrificing spatial resolution or being very time consuming.
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