In this correspondence, me develop a novel computation method for the 2-D discrete periodized wavelet transformation (DPWT). The new algorithm is based on the operator correlation algorithm (OCA). Compared with the cl...
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In this correspondence, me develop a novel computation method for the 2-D discrete periodized wavelet transformation (DPWT). The new algorithm is based on the operator correlation algorithm (OCA). Compared with the classical 2-D pyramid algorithm, the new advanced operator correlation algorithm (AOCA) has two major advantages;it requires half the number of multiplications and can yield the same output SNR with half the precision of the DPWT filter coefficients. Furthermore, the modular structure of the AOCA makes it particularly suitable for a VLSI implementation.
This paper describes an intelligent current controller for the fast and flexible control of an HVDC trans mission link using Artificial Neural Network (ANN) and Fuzzy Logic (FL) paradigms. A simple yet effective ANN a...
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This paper describes an intelligent current controller for the fast and flexible control of an HVDC trans mission link using Artificial Neural Network (ANN) and Fuzzy Logic (FL) paradigms. A simple yet effective ANN architecture is present-ed with am-line adaptation of the activation function and learning parameters. Two methods of adapting the learning parameters are presented. In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered. In the second method, a Fk based on-line adaption of the learning parameters is discussed. Performance of ANN, ANN-FL based and PI controllers are compared. A feasibility analysis is carried out to implement ease proposed neural controller algorithm in real-time.
A real-time algorithm for the (n(2) - 1)-puzzle is designed using greedy and divide-and-conquer techniques. It is proved that (ignoring lower order terms) the new algorithm uses at most 5n(3) moves, and that any such ...
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A real-time algorithm for the (n(2) - 1)-puzzle is designed using greedy and divide-and-conquer techniques. It is proved that (ignoring lower order terms) the new algorithm uses at most 5n(3) moves, and that any such algorithm must make at least n(3) moves in the worst case, at least 2n(3)/3 moves on average, and with probability one, at least 0.264n(3) moves on random configurations.
This paper describes an intelligent current controller for the fast and flexible control of an HVDC trans mission Link using Artificial Neural Network (ANN) and Fuzzy Logic (FL) paradigms. A simple yet effective ANN a...
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ISBN:
(纸本)078033714X
This paper describes an intelligent current controller for the fast and flexible control of an HVDC trans mission Link using Artificial Neural Network (ANN) and Fuzzy Logic (FL) paradigms. A simple yet effective ANN architecture is presented with on-line adaptation of the activation function and learning parameters, Two methods of adapting the learning parameters are presented In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered, In the second method, a FL based on-line adaptation of the learning parameters is discussed. Performance of AMY, AMY-FL based and PI controllers are compared. A feasibility analysis is carried out to Implement the proposed neural controller algorithm in real-time.
The network sensitivity factors are used for line flow estimation. Most of them are applied in conjunction with demand change limits under certain conditions. In this paper, a new factor, called the Z-bus distribution...
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The network sensitivity factors are used for line flow estimation. Most of them are applied in conjunction with demand change limits under certain conditions. In this paper, a new factor, called the Z-bus distribution factor, is proposed to improve some deficiencies in the use of these sensitivity factors. A two-step real-time approach, combining the generalized generation shift distribution factor and the proposed Z-bus distribution factor, is organized to calculate line flows using an algorithm without running a load flow. Test systems with arbitrary demand changes in each bus are simulated and demonstrated to prove the outstanding characteristics of the proposed approach. The solution accuracy is good compared with that of the fast decoupled load flow method, with a much shorter execution time. It is very suitable for security evaluation and contingency analysis in realtime.
Levcopolous and Overmars [12] describe a search tree in which the time to insert or delete a key is O(1) once the position of the key to be inserted or deleted was known. Their data structure does not support fingers,...
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According to the characteristics of distribution systems, this paper proposes a real-time algorithm for solving the optimal control strategies of reactive power and voltage in distribution systems. Under the condition...
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According to the characteristics of distribution systems, this paper proposes a real-time algorithm for solving the optimal control strategies of reactive power and voltage in distribution systems. Under the conditions of bus voltage, branch reactive power used as controlled variables and the setting of the Tap Changing Under Load Transformers, reactive power compensation used as control variables, the strategies are gotten by using Linear Programming in accordance with the requirements of real-time control. There are several different objective functions in the paper. That is: (1).minimum real power losses; (2) minimum reactive power compensation; (3).maximum control gain. The objective functions mentioned above can be choosed in the light of specific circumstance. The paper can follow the sample date in the real-time control, simultaneously, identify the reactive power-voltage static characteristic on load bus, and consider its influence upon the optimal control strategies. The proposed technique has been tested on the IEEE 5-bus, 6-bus, modified 30-bus and Jiaxing distribution system(41-bus) in China, on the personal conputer. The optimal control strategies for different objective function mentioned above are obtained rapidly.
A digital computer algorithm is described for real-time detection of critical points in the arterial pressure signal. Two externally selected parameters allow for filtering without loss of high frequency components. T...
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A digital computer algorithm is described for real-time detection of critical points in the arterial pressure signal. Two externally selected parameters allow for filtering without loss of high frequency components. The accuracy of the algorithm was tested on 1005 cycles. Worse case average error was 2 mm Hg for diastolic pressure, 4 mm Hg for peak systolic pressure and 11 ms in the placement of the dicrotic notch. Stability of the algorithm was shown by detection of 1004 of the 1005 cycles with 2 false positive cycles. A relative error bound is given for the Kouchoukos pulse contour formula for the estimate of stroke volume. The bound is a function of the notch placement relative error.
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