作者：
Liu, HongjianWang, ZidongShen, BoAlsaadi, Fuad E.[a] School of Information Science and Technology
Donghua University Shanghai China.[b] Department of Computer Science Brunel University London Uxbridge United Kingdom.[c] Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah Saudi Arabia.[d] School of Mathematics Anhui Polytechnic University Wuhu China.
This paper deals with the robust [Formula omitted.] state estimation problem for a class of memristive recurrent neural networks with stochastic time-delays. The stochastic time-delays under consideration are governed...
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This paper deals with the robust [Formula omitted.] state estimation problem for a class of memristive recurrent neural networks with stochastic time-delays. The stochastic time-delays under consideration are governed by a Bernoulli-distributed stochastic sequence. The purpose of the addressed problem is to design the robust state estimator such that the dynamics of the estimation error is exponentially stable in the mean square, and the prescribed [Formula omitted.] performance constraint is met. By utilizing the difference inclusion theory and choosing a proper Lyapunov-Krasovskii functional, the existence condition of the desired estimator is derived. Based on it, the explicit expression of the estimator gain is given in terms of the solution to a linear matrix inequality. Finally, a numerical example is employed to demonstrate the effectiveness and applicability of the proposed estimation approach.
Polarization-rotation based QPSK optical system over atmospheric turbulence channel is proposed to overcome phase noise caused by the channel. The results indicate an order of magnitude better bit error rate performan...
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The advanced laser technology has led to gigahertz level repetition rate femtosecond fiber laser possible. This laser offers advantages of high average power, chirp-free output pulses and helps the frequency comb made...
48.9-ns delay via slow light in optoelectronic oscillators based on stimulated Brillouin scattering is experimentally measured by side-modes shifting in the phase noise curve. The result demonstrates a potential fine ...
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This paper investigates the suboptimal maximum likelihood detection for atmosphere channels. Simulation results show that the performance loss is quite small compared with lower bound given by maximum likelihood symbo...
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The development of Vehicular Ad-hoc networks (VANET) has witnessed the release of various multimedia services and made it important to develop architectures and routing protocols capable of (a) handling the multimedia...
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While we have all been warned about viruses attacking our computers and hackers stealing our private information, very few of us realize the similar threat to our phones. With the number of smartphones in use growing ...
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Replacing combustion vehicles with electric vehicles is a major step towards reducing CO_2 emissions. With regard to this shift, in particular commercial or governmental vehicle fleets are believed to be early adopter...
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ISBN:
(纸本)9781479980895
Replacing combustion vehicles with electric vehicles is a major step towards reducing CO_2 emissions. With regard to this shift, in particular commercial or governmental vehicle fleets are believed to be early adopters. However, the electrification of vehicle fleets is a complex task since it can have a huge impact on companies' day-to-day-business. This article presents a lightweight simulation framework to support the planning process and to study important effects of vehicle fleet electrification. Our discrete event-based approach allows to investigate economical and environmental aspects, such as the impact on operating costs, the required electric energy, or the amount of CO_2 emissions. Based on a given trip schedule (consisting of start time, distance, and duration), the framework allows deriving all necessary information, among others to dimension both the vehicle fleet and the charging infrastructure. We show the usefulness and the capability of our model by presenting results for a mid-sized company's vehicle fleet comprising 100 vehicles.
We review current silicon photonic devices and their performance in connection with energy *** critical issues are identified to lower energy consumption in devices and systems: reducing the influence of the thermo-op...
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We review current silicon photonic devices and their performance in connection with energy *** critical issues are identified to lower energy consumption in devices and systems: reducing the influence of the thermo-optic effect, increasing the wall-plug efficiency of lasers on silicon, optimizing energy performance of modulators, and enhancing the sensitivity of photodetectors. Major conclusions are(1) Mach–Zehnder interferometer-based devices can achieve athermal performance without any extra energy consumption while microrings do not have an efficient passive athermal solution;(2) while direct bonded III–V-based Si lasers can meet system power requirement for now, hetero-epitaxial grown III–V quantum dot lasers are competitive and may be a better option for the future;(3) resonant modulators, especially coupling modulators, are promising for low-energy consumption operation even when the power to stabilize their operation is included;(4) benefiting from high sensitivity and low cost, Ge/Si avalanche photodiode is the most promising photodetector and can be used to effectively reduce the optical link power budget. These analyses and solutions will contribute to further lowering energy consumption to meet aggressive energy demands in future systems.
Using different modeling and simulation approaches for predicting network performance requires extensive experience and involves a number of time consuming manual steps regarding each of the modeling formalisms. In th...
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