In this letter, we investigate the adaptive resource allocation with Lyapunov optimization for time-varying wireless networks. The transmit power minimization is characterized by a stochastic optimization model. A dyn...
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In this letter, we investigate the adaptive resource allocation with Lyapunov optimization for time-varying wireless networks. The transmit power minimization is characterized by a stochastic optimization model. A dynamic resource allocation (DRA) algorithm is developed to accommodate the wireless network dynamics, i.e., time-varying wireless channels and as well the queuing dynamics. We investigate the tracking error between the DRA algorithm output and the target optimal resource allocation solution. Based on these results, we further develop an adaptive-compensation resource allocation (ACRA) algorithm, which iterates only once when the network state changes for saving the huge iteration overheads. Finally, we determine a sufficient condition that the ACRA algorithm asymptotically tracks the moving equilibrium point with no tracking errors. Simulation results validate the theoretical analysis of our proposed scheme.
When calibrating absolute peak efficiency and total efficiency functions for high efficient germanium detectors, single gamma-emitting nuclides are used in general to avoid coincidence summing effects. As another appr...
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When calibrating absolute peak efficiency and total efficiency functions for high efficient germanium detectors, single gamma-emitting nuclides are used in general to avoid coincidence summing effects. As another approach, Blaauw developed calibration technique using multiple gamma-emitting nuclides with least-square technique (Blaauw, 1993;Blaauw and Gelsema, 2003). In the present study, we tried to calibrate efficiency functions of a well-type germanium detector based on Blaauw's approach using a home-made iteration calculation algorithm with the "Solver" add-in in Excel (TM).
Problems of cylindrical indentation of orthotropic laminated beams on an elastic foundation are studied. Exact solution methods are developed to assess the displacement field for both the simply supported and clamped-...
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Problems of cylindrical indentation of orthotropic laminated beams on an elastic foundation are studied. Exact solution methods are developed to assess the displacement field for both the simply supported and clamped-ended cases. A numerical iteration algorithm is established to detect the contact length and the associated contact stresses for a prescribed contact load. The induced interlaminar shear stresses through the thickness and the amount of indentation are evaluated subsequently. The objective is to investigate the effects of span, indentor size, end support conditions, and foundation stiffness on the local field responses and load-indentation relationships. The results show that the effects of indentor size and foundation stiffness are significant. A sharp indentor or stiff foundation tends to localize the contact phenomenon, regardless of the span and the end support conditions. On the other hand, the effects of both the boundary condition and span may be prominent if a blunt indentor and a relatively soft foundation are employed.
This paper studies the risk probability criteria for finite horizon semi-Markov decision processes. The goal is to find an optimal policy with the minimum risk probability that the total reward produced by a system du...
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This paper studies the risk probability criteria for finite horizon semi-Markov decision processes. The goal is to find an optimal policy with the minimum risk probability that the total reward produced by a system during a finite horizon does not exceed a reward level, where the optimality is over the class of all randomized historic policies which include states, planning horizons and also reward levels. Under mild conditions, the optimality equation and the existence of optimal policies are established, and in addition, an iteration algorithm for solving optimal policies is developed. Our main results are applied to a manufacturing system. (C) 2013 Elsevier Inc. All rights reserved.
Optical eigenmode imaging (OEI) reconstructs a complex object by using the orthogonality of optical eigenmodes. The image quality of OEI is limited by the missing of high-order eigenmodes. Here, we propose a universal...
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Optical eigenmode imaging (OEI) reconstructs a complex object by using the orthogonality of optical eigenmodes. The image quality of OEI is limited by the missing of high-order eigenmodes. Here, we propose a universal method to improve the image quality of OEI by applying the iterative operation on the image collected by the second-order OEI (SOEI). The numerical simulations show that both the detrimental side bands and the position dependence of the point spread function by using OEI are largely mitigated.
Because phase contains specific information of the sample, especially transparent specimens such as biological cells and tissues, it is of utmost significance to accurately extract the phase. Although the phase can be...
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Because phase contains specific information of the sample, especially transparent specimens such as biological cells and tissues, it is of utmost significance to accurately extract the phase. Although the phase can be directly solved from multiplane intensities through the prevalent transport of intensity equation (TIE) method, too many approximations in the solving process ultimately reduce its recovery accuracy. In addition, an iterative idea as a classic but potential tool allows quantitatively reconstructing phase while it is prone to trap in local stagnation due to nonconvexity. In order to restore the phase quantitatively and precisely, we propose a hybrid method combining the initial phase value via higher order TIE for system error reduction, and a final recovery solution using multiplane iteration for phase accuracy enhancement. Simulation and experimental results show that the proposed method not only has good noise suppression ability but also high phase recovery accuracy, and thus can be used in fields such as biological observation and medical diagnosis in the future. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
Let C be a closed convex subset of a real Hilbert space H and assume that T is a k-strict pseudo-contraction on C. Consider Mann's iteration algorithm given by for all x(0) is an element of C, x(n+1) = alpha(n)x(n...
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Let C be a closed convex subset of a real Hilbert space H and assume that T is a k-strict pseudo-contraction on C. Consider Mann's iteration algorithm given by for all x(0) is an element of C, x(n+1) = alpha(n)x(n) + (1 - alpha(n))Tx(n), n >= 0. It is proved that if the control sequence {alpha(n)} is chosen so that k < alpha(n) < 1 and Sigma(infinity)(n=0)(alpha(n) - k) (1 - alpha(n)) = infinity, then lim(n ->infinity) vertical bar vertical bar x(n) - Tx(n) vertical bar vertical bar = d(0, ($$$) over barR(A)), where A = I - T and d(0,D) denotes the distance between the origin and the subset set D of H. As a consequence of this result, we prove that if T has a fixed point in C, then {x(n)} converges weakly to a fixed point of T. Also, we extend a result due to Reich to kappa-strict pseudo-contractions in the Hilbert space setting. Further, by virtue of hybridization projections, we establish a strong convergence theorem for Lipschitz pseudo-contractions. The results presented in this paper improve or extend the corresponding results of Browder and Petryshyn [F.E. Browder, W.V. Petryshyn, Construction of fixed points of nonlinear mappings in Hilbert spaces, J. Math. Anal. Appl. 20 (1967) 197-228], Rhoades [B.E. Rhoades, Fixed point iterations using infinite matrices, Trans. Amer. Math. Soc. 196 (1974) 162-176] and of Marino and Xu [G. Marino, H.-K. Xu, Weak and strong convergence theorems for strict pseudo-contractions in Hilbert spaces, J. Math. Anal. Appl. 329 (1) (2007) 336-346]. (C) 2008 Elsevier Inc. All rights reserved.
Transformation of impedance spectra into relaxation time spectra (RTS) is used for determining contributions of individual processes of the oxygen electroreduction reaction (OER) to the polarization resistance of the ...
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Transformation of impedance spectra into relaxation time spectra (RTS) is used for determining contributions of individual processes of the oxygen electroreduction reaction (OER) to the polarization resistance of the electrochemical cell. The transformation technique involves the solution of the convolution equation found with the aid of a modified Van Cittert iteration algorithm checked on model impedance spectra. The technique, when used to analyze impedance spectra of electrochemical cells air\Pt\YSZ\YSZ + Ptlair, shows that the conversion of a globular structure of the YSZ + Pt cermet layer to a columnar one is accompanied by a change of peak amplitudes in RTS. The revealed RTS dynamics when heated to 750degreesC is compared with peculiarities of individual processes in OER.
In a VAV system the static pressure can be reseted based on the change of load. At low load conditions the duct static pressure can be adjusted lower, that make VAV terminal air valves in large opening as far as possi...
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ISBN:
(纸本)9783037852798
In a VAV system the static pressure can be reseted based on the change of load. At low load conditions the duct static pressure can be adjusted lower, that make VAV terminal air valves in large opening as far as possible. And lower fan outlet pressure can effectively reduce fan energy consumption. This paper presents a method using iterative algorithm to control the fan frequency. It can improve the dynamic quality of the control system. Satisfying the requirements under lower static pressure so as to achieve the purpose of energy-saving.
In this paper two architectures for optical image verification are proposed. Both architectures are modified from conventional joint transform correlators (JTCs) and can significantly improve the recovered image quali...
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ISBN:
(纸本)0819450758
In this paper two architectures for optical image verification are proposed. Both architectures are modified from conventional joint transform correlators (JTCs) and can significantly improve the recovered image quality. First, an input phase-only function is Fourier transformed and then is interfered with a reference wave that is diffracted from a plane wave incident on another random phase mask. Second, two phase-only functions are placed at the two input sides of a beam splitter such that the interference pattern of their Fourier transforms can be detected. The intensity of the interference pattern in both architectures can be recorded and then its Fourier-transform can be obtained in the output plane. To obtain a predefined target image in the output plane, the input phase function is iteratively retrieved by the use of the projection onto constraint sets algorithm. Simulation results show that the less mean squared error and better image quality are obtained for both the binary and grayscale images.
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