A transient response model for thulium-doped fiber amplifier is presented. With an optimally chosen method for numerical integration, we can successfully estimate the transient response of thulium-doped amplifier, whi...
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ISBN:
(纸本)1557527849
A transient response model for thulium-doped fiber amplifier is presented. With an optimally chosen method for numerical integration, we can successfully estimate the transient response of thulium-doped amplifier, which is worth consideration in the optical networking system.
A band-pass filter operating in 2.40 GHz to 2.48 GHz range is designed in 0.18 /spl mu/m CMOS technology. It has tunable center frequency, Q-factor and gain. The fully integrated system-on-chip (SOC) 10th order band-p...
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A band-pass filter operating in 2.40 GHz to 2.48 GHz range is designed in 0.18 /spl mu/m CMOS technology. It has tunable center frequency, Q-factor and gain. The fully integrated system-on-chip (SOC) 10th order band-pass filter is built by cascading five stages of 2nd order. The simulation of the filter on ADS software provides an insertion gain of 8 dB in the pass-band frequency from 2.40 GHz to 2.48 GHz. The attenuation in the stop-band is observed to be higher than 50 dB at 400 MHz away from pass-band edge with 15 mA current sinking from a 1.8 V supply. We present several simulation results to highlight these characteristics.
A semiconductor laser and fiber with three separated Bragg gratings will automatically tune through three wavelengths. We investigate this device using numerical simulations to illustrate the evolution of the spectrum...
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A semiconductor laser and fiber with three separated Bragg gratings will automatically tune through three wavelengths. We investigate this device using numerical simulations to illustrate the evolution of the spectrum. This device could be used generate optical signals for sensors.
Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is...
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Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is designed using two neural networks to perform the nonlinear transformation. Particle swarm optimization is applied to find the weights of neural networks such that the signal to noise ratio (SNR) is maximized. Simulation results on different speech samples are presented and the proposed quantizer design is compared with the logarithm quantizer for bit rates ranging from 3 to 8.
Continuum electromechanics of ferrohydrodynamic interactions in magnetic liquids (ferrofluids) and dual electrohydrodynamic interactions with polarizable dielectric liquids are described and compared. Simple dual expe...
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Continuum electromechanics of ferrohydrodynamic interactions in magnetic liquids (ferrofluids) and dual electrohydrodynamic interactions with polarizable dielectric liquids are described and compared. Simple dual experiments presented include: the rise of ferrofluid around a current-carrying wire and the rise of dielectric liquid between diverging electrodes; ferrohydrodynamic and electrohydrodynamic peaking interfacial instability with a perpendicular magnetic or electric field; and electric and magnetic labyrinth instability when a thin layer of magnetic or dielectric fluid is stressed by a uniform magnetic or electric field parallel to the thin dimension of the interface. New spiral and droplet patterns that form in combined DC and rotating uniform magnetic fields are presented for magnetic liquids.
One of the problems with Java for real-time systems is the unpredictable behavior of garbage collection (GC). GC introduces unexpected load and causes undesirable delays for real-time applications. In this paper, we p...
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One of the problems with Java for real-time systems is the unpredictable behavior of garbage collection (GC). GC introduces unexpected load and causes undesirable delays for real-time applications. In this paper, we propose a technique that reduces and bounds the memory requirements for real-time Java programs. This technique can eliminate or reduce the need for GC and allows for a more predictable execution behavior and efficient utilization of the available memory. A theoretical model is presented and a number of benchmark tests are used to evaluate this technique in PERC, NewMonics' real-time JVM, and Sun's JVM. The results show that in some cases GC can be eliminated and an application's execution time decreases and becomes more predictable.
This paper presents the design of a companding non-uniform optimal scalar quantizer for speech coding. The quantizer is designed using two neural networks to perform the nonlinear transformation. These neural networks...
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This paper presents the design of a companding non-uniform optimal scalar quantizer for speech coding. The quantizer is designed using two neural networks to perform the nonlinear transformation. These neural networks are used in the front and back ends of a uniform quantizer. Two approaches are presented in this paper namely adaptive critic designs (ACD) and particle swarm optimization (PSO), aiming to maximize the signal to noise ratio (SNR). The comparison of these optimal quantizer designs over bit rate range of 3 to 6 is presented. The perceptual quality of the coding is evaluated by the International Telecommunication Union's Perceptual Evaluation of Speech Quality (PESQ) standard.
With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wid...
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With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. This paper presents the design and the DSP implementation of a nonlinear optimal wide area controller based on adaptive critic designs and neural networks for a power system on the real-time digital simulator (RTDS/spl reg/). The performance of the WACS as a power system stability agent is studied using the Kundur's two area power system example. The WACS provides better damping of power system oscillations under small and large disturbances even with the inclusion of local power system stabilizers.
Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on th...
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Over the last few years, grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on their QoS (quality of service) requirements. In such "pay-per-use" grids, workflow execution cost must be considered during scheduling based on users' QoS constraints. In this paper, we propose a cost-based workflow scheduling algorithm that minimizes execution cost while meeting the deadline for delivering results. It can also adapt to the delays of service executions by rescheduling unexecuted tasks. We also attempt to optimally solve the task scheduling problem in branches with several sequential tasks by modeling the branch as a Markov decision process and using the value iteration method
We outline the research and development taking place at Monash University, Melbourne, Australia, in the fields of active photonic circuit design and simulation, and biophotonics.
We outline the research and development taking place at Monash University, Melbourne, Australia, in the fields of active photonic circuit design and simulation, and biophotonics.
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