This paper proposes a rate-based active queue management algorithm or RAQM. It uses the aggregated traffic input rate to calculate packet drop probability according to an exponential rule. We analyze the stability and...
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This paper proposes a rate-based active queue management algorithm or RAQM. It uses the aggregated traffic input rate to calculate packet drop probability according to an exponential rule. We analyze the stability and investigate practical implementation issues of the RAQM. Simulations are carried out to study RAQM performance and to compare with other AQM algorithms, in particular PI and REM schemes. The results demonstrate that RAQM achieves better stability and faster response as it can quickly regulate the queue length to the expected value with small overshoot. RAQM also obtains better tradeoff between link utilization and queuing delay, and obtains higher goodput with the same buffer size as in PI and REM schemes. Finally RAQM has O(1) complexity, thus is independent of the number of flows.
We study the joint power control and minimum-frame-length scheduling problem in wireless networks, under the physical interference model and subject to consecutive transmission constraints. We start by investigating t...
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ISBN:
(纸本)9781424435128
We study the joint power control and minimum-frame-length scheduling problem in wireless networks, under the physical interference model and subject to consecutive transmission constraints. We start by investigating the complexity of the problem and present the first NP-completeness proof in the literature. We propose a polynomial-time approximation algorithm, called guaranteed and greedy scheduling (GGS) algorithm, to tackle this problem. We prove a bounded approximation ratio of the proposed algorithm relative to the optimal scheduling algorithm. Moreover, the proposed algorithm significantly outperforms the state-of-the-art related algorithm. Interestingly, our algorithm together with its bounded approximation ratio is applicable even when the consecutive transmission constraint is relaxed. To the best of our knowledge, the proposed algorithm is the first known polynomial-time algorithm with a proven bounded approximation ratio for the joint power control and scheduling problem under the physical interference model. We further demonstrate the performance and advantages of our algorithm through extensive simulations.
Carrier synchronization is the core part of modulation and demodulation system, which ensure the system fast, flexible and accurate processing the signal. The paper proposes a practical algorithm, combing LMS algorith...
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Carrier synchronization is the core part of modulation and demodulation system, which ensure the system fast, flexible and accurate processing the signal. The paper proposes a practical algorithm, combing LMS algorithm and Costas loop, to solve the problem of carrier synchronization based on software radio. This algorithm has been simulated in MATLAB and the result of the simulation is very good. At present, the carrier recovery algorithm has been applied in the practical project.
The fatigue level of the driver changes due to many factors such as monotonous job of continuous attentive driving, road traffic, un-healthy road conditions, insufficient sleep, stress level, changing work habits and ...
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The fatigue level of the driver changes due to many factors such as monotonous job of continuous attentive driving, road traffic, un-healthy road conditions, insufficient sleep, stress level, changing work habits and adverse environmental conditions. This paper provides an alternative approach for design of fatigue classifier for vehicular drivers using Skin Conductance (SC) signal to save the loss of lives by reducing the number of occurrences of vehicular accidents specifically those caused by cognitive fatigue of the drivers. We have implemented basic K-means algorithm and proposed two modifications as classifier for detection of two state fatigue data of Skin Conductance signal recorded from vehicular drivers. The classifiers were trained and tested for wavelet and statistical features of SC signal. The features so extracted were treated as individual decision making parameters. From test results it could be found that some of the statistical features and wavelet features could fetch 100 % classification accuracy.
This paper presents a motion control algorithm for a planar mobile observer such as, e.g., a mobile robot equipped with an omni-directional camera. We propose a nonsmooth gradient algorithm for the problem of maximizi...
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This paper presents a motion control algorithm for a planar mobile observer such as, e.g., a mobile robot equipped with an omni-directional camera. We propose a nonsmooth gradient algorithm for the problem of maximizing the area of the region visible to the observer in a simple nonconvex polygon. First, we show that the visible area is almost everywhere a locally Lipschitz function of the observer location. Second, we provide a novel version of LaSaIIe invariance principle for discontinuous vector fields and Lyapunov functions with a finite number of discontinuities. Finally, we establish the asymptotic convergence properties of the nonsmooth gradient algorithm and we illustrate numerically its performance.
In this paper, we propose a numerical algorithm to reconstruct the complex permittivity profile of unknown scatterers by using the FDTD technique and design sensitivity analysis (DSA). By introducing DSA and the adjoi...
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ISBN:
(纸本)0780372395
In this paper, we propose a numerical algorithm to reconstruct the complex permittivity profile of unknown scatterers by using the FDTD technique and design sensitivity analysis (DSA). By introducing DSA and the adjoint variable method, we can calculate the derivatives of error functions with respect to complex permittivity variables, and reduce the computational cost. The proposed method is validated by application to the reconstruction of unknown 2-D scatterers which are illuminated by TM/sup 2/ with a Gaussian pulsed plane wave.
Summary form only given. In television systems during frame-by-frame viewing, poor resolution can be detected, while for a moving picture (as a sequence of still images) the resolution is estimated as good. The reason...
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ISBN:
(纸本)5778203470
Summary form only given. In television systems during frame-by-frame viewing, poor resolution can be detected, while for a moving picture (as a sequence of still images) the resolution is estimated as good. The reason for this is that the eye does the necessary processing itself. Perhaps, it happens because of the lower special sampling frequency that is needed according to Nyquist's theorem. The sampling frequency can be knowingly taken lower to reduce data storage capacity. Having several frames (still images) shifted one from another and defining these shifts one can superpose the frames and increase the resolution. An algorithm of mutual shifts estimation was derived, which does not depend on the correlation function shape and uses its parity property. It allows locating the maximum with more accuracy than a period of sampling, by processing the discrete correlation function with weight coefficients.
In this paper, a system for time-frequency analysis of heart rate variability (HRV) using a fast windowed Lomb periodogram is proposed. Time-frequency analysis of HRV is achieved through a de-normalized fast Lomb peri...
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In this paper, a system for time-frequency analysis of heart rate variability (HRV) using a fast windowed Lomb periodogram is proposed. Time-frequency analysis of HRV is achieved through a de-normalized fast Lomb periodogram with a sliding window configuration. The Lomb time-frequency distribution (TFD) is suited for spectral analysis of unevenly spaced data and has been applied to the analysis of HRV. The system has been implemented in hardware as an HRV processor and verified on FPGA. Simulations show that the proposed Lomb TFD is able to achieve better frequency resolution than short-time Fourier transform of the same hardware size. The proposed system is suitable for portable monitoring devices and as a biomedical signal processor on an system-on-chip (SOC) design.
An efficient genetic algorithm/method of moments formulation using curved segmentation (GA/MoM-CS) to optimize the curl and helical antenna structures is implemented and employed to design and optimize complex helical...
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An efficient genetic algorithm/method of moments formulation using curved segmentation (GA/MoM-CS) to optimize the curl and helical antenna structures is implemented and employed to design and optimize complex helical wire antennas such as tapered single helical antenna (TSHA), single elliptical curl antenna (SECA) and tapered quadrifilar antenna (TQFA) mounted over infinite ground plane. An optimum gain, VSWR and circular polarization properties that make these antennas suitable to be used in satellite communications systems are obtained. The numerical results show that the hybrid GA/MoM-CS produces superior antenna designs for such complex geometries with reduced computation time compared to codes that uses straight wire segmentations.
A non-linear mixed analysis/optimization algorithm for the design of microwave power amplifiers is presented. Matching conditions for optimum power and efficiency performance are imposed together with the balancing eq...
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A non-linear mixed analysis/optimization algorithm for the design of microwave power amplifiers is presented. Matching conditions for optimum power and efficiency performance are imposed together with the balancing equations of the non-linear analysis in a consistent way. The analysis/pre-optimization of the power stage requires a computation time comparable to that of a single conventional harmonic balance analysis. The algorithm forms the basis of a design procedure for the fulfilment of design specifications in terms of output power, power-added efficiency and gain. Comparisons with the results of commercial CAD non-linear analysis programs are presented.
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