In a context where graph transformation is used to explore a space of possible solutions to a given problem, it is almost always necessary to inspect candidate solutions for relevant properties. This means that there ...
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In this paper, the finite-time stabilization problem of a class of networked control systems (NCSs) with bounded packet dropout is investigated. An iterative approach is proposed to model the NCSs with bounded packet ...
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In this paper, the finite-time stabilization problem of a class of networked control systems (NCSs) with bounded packet dropout is investigated. An iterative approach is proposed to model the NCSs with bounded packet dropout as switched linear systems. Both sensor-to-controller and controller-toactuator packet dropouts are considered simultaneously. Sufficient conditions for finite-time stabilization of the underlying systems are derived via linear matrix inequalities (LMIs) formulation. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.
With the popularity of Extensible Markup Language (XML) as the new standard of data exchange on the web, a large number of data sources are represented or encoded in XML format. Therefore, querying and searching XML d...
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This paper gives a novel delay-dependent admissibility condition of discrete-time singular systems with time-varying delays. For convenience, the time-varying delay is assumed to be the sum of delay lower bound and th...
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This paper gives a novel delay-dependent admissibility condition of discrete-time singular systems with time-varying delays. For convenience, the time-varying delay is assumed to be the sum of delay lower bound and the integral multiples of a constant delay. Specially, if the constant delay is of unit length, the delay is an interval-like time-varying delay. The proposed admissibility condition is presented and expressed in terms of linear matrix inequality (LMI) by Lyapunov approach. Generally, the uncertainty of time-varying delay would lead to conservatism. In this paper, this critical issue is tackled by accurately estimating the time-varying delay. Consequently, the proposed admissibility condition is less conservative than the existing results, which is demonstrated by a numerical example.
Designs of p-doped in quantum well (QW) barriers and specific number of vertically stacked QWs are proposed to improve the optical performance of GaN-based dual-wavelength light-emitting diodes (LEDs). Emission sp...
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Designs of p-doped in quantum well (QW) barriers and specific number of vertically stacked QWs are proposed to improve the optical performance of GaN-based dual-wavelength light-emitting diodes (LEDs). Emission spectra, carrier concentration, electron current density, and internal quantum efficiency (IQE) are studied numerically. Simulation results show that the efficiency droop and the spectrum intensity at the large current injection are improved markedly by using the proposed design. Compared with the conventional LEDs, the uniform spectrum intensity of dual-wavelength luminescence is realized when a specific number of vertically stacked QWs is adopted. Suppression of electron leakage current and the promotion of hole injection efficiency could be one of the main reasons for these improvements.
Many technology and design-based disciplines are facing increasing demands to prepare students to perform effectively within computational and simulation environments. Further, students' spatial abilities are an i...
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The purpose of this study is two-fold: It aims to determine the factors that are influential in undergraduate students’ approaches to studying, self-efficacy, problem solving strategies, competency in mathematical th...
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The purpose of this study is two-fold: It aims to determine the factors that are influential in undergraduate students’ approaches to studying, self-efficacy, problem solving strategies, competency in mathematical thinking and reasoning; to identify any gender, grade level, and regional differences among the identified factors and on the overall competency in mathematical thinking and reasoning of undergraduate students and prospective teachers. The factors were identified through the adopted survey of approaches to studying and the competency test on mathematical thinking nd reasoning that was designed by the researcher. The scales were administered to 431 undergraduate students of mathematics, elementary and secondary mathematics education in Ankara and in Northern Cyprus and to prospective teachers of classroom teacher education and early childhood education of teacher training academy in Northern Cyprus. Exploratory and confirmatory factor analyses were employed to determine the factors and the differences with respect to gender, region and grade level separately and their dual, triple interaction effects were investigated through two two-way MANOVA and a three-way ANOVA analyses. Results showed that significant gender, grade level differences across identified dimensions of the survey and region, gender and grade level differences across the dimensions of the test and on the total test.
Wireless sensor networks (WSNs) consist of a set of sensor nodes in order to detect and transmit environmental characteristics, such as, temperature, humidity or lightness. These sensor nodes, after capturing an event...
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Wireless sensor networks (WSNs) consist of a set of sensor nodes in order to detect and transmit environmental characteristics, such as, temperature, humidity or lightness. These sensor nodes, after capturing an event, should communicate with a special node, named sink node. However, the use of a single sink node implies a bottleneck in the sensor network, specially for real time applications. To overcome this problem, researches are focusing on studies for the selection of routes in sensor networks with multiple sink nodes. The approach proposed by this paper presents the application of Genetic Fuzzy Systems (GFSs) to estimate the quality of routes in WSNs, in order to ensure communication between multiple sensor nodes and multiple sink nodes. A Mamdani Fuzzy Inference System is used to select the best sink node for communication at a given moment, based on network features such as the available energy of the route and the number of hops to reaches the sink node. Genetic Algorithms (GAs) are used to obtain the optimal setting of design parameters of the Mamdani fuzzy inference system. The proposed route classification was implemented by computer simulations to demonstrate its feasibility and the results showed a sensor network with longer lifetime, based on the appropriate selection of the sink and the route used to send packets through the network.
The ABC algorithm has been used in many practical cases and has demonstrated good convergence rate. It produces the new solution according to the stochastic variance process. In this process, the magnitudes of the per...
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The ABC algorithm has been used in many practical cases and has demonstrated good convergence rate. It produces the new solution according to the stochastic variance process. In this process, the magnitudes of the perturbation are important since it can affect the new solution. In this paper, we propose a self adaptive artificial bee colony, called self adaptive ABC, for the global numerical optimization. A new self adaptive perturbation is introduced in the basic ABC algorithm, in order to improve the convergence rates. 23 benchmark functions are employed in verifying the performance of self adaptive ABC. Experimental results indicate our approach is effective and efficient. Compared with other algorithms, self adaptive ABC performs better than, or at least comparable to the basic ABC algorithm and other state-of-the-art approaches from literature when considering the quality of the solution obtained.
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