1,723,403 research outputs found
Production of Poly (3-hydroxybutyrate-co-3-hydroxyhexanoate) by high cell density cultivation of Aeromonas Hydrophila
No full textAugmenting the discrimination power of HMM by NN for on-line cursive script recognition
No full textFor on-line handwriting recognition, a hybrid approach that combines the discrimination power of neural networks with the temporal structure of hidden Markov models is presented. Initially, all plausible letter components of an input pattern are detected by using a letter spotting technique based on hidden Markov models. A word hypothesis lattice is generated as a result of the letter spotting. All letter hypotheses in the lattice are evaluated by a neural network character recogonizer in order to reinforce letter discrimination power. Then, as a new technique, an island-driven lattice search algorithm is performed to find the optimal path on the word hypothesis lattice which corresponds to the most probable word among the dictionary words. The results of this experiment suggest that the proposed framework works effectively in recognizing English cursive words. In a word recognition test, on average 88.5% word accuracy was obtained
Minority game with interaction via various networks
No full textWe generalize Anghel et al.'s minority game with a substrate network structure among players [Phys. B.ev. Lett. 92, 058701 (2004)]. Changing the type of substrate networks, we investigate the volatility of the system, the structure of follower networks, and the spatial pattern of players' choice. The topology of substrate networks, especially the disorderedness of the small-world substrate network, significantly influences the form of the volatility function. For Erdos-Renyi random networks and scale-free networks as substrate, the follower networks show a power-law degree distribution. In addition, the minority game on two-dimensional regular lattices shows a power-law distribution for the size of the clusters in which all players make the same choice. These findings show the emergence of scale-free structures of cooperation in the minority game and the effects of the underlying substrate structures on the networked version of the game
Empirical model of the acoustic impedance of a circular orifice in grazing mean flow
No full textAlthough there are many analytical and empirical models for orifice impedance the predicted acoustical performance when adopting any one of them sometimes shows a large discrepancy with the measured result in some cases. In order to obtain a new practical and precise empirical impedance model under grazing flow conditions, the acoustic impedance of circular orifices has been measured with a variation of the involved parameters under very carefully tested and controlled measurement conditions. The parameters involved in determining the acoustic impedance of an orifice. are comprised of the orifice diameter, orifice thickness, perforation ratio, mean flow velocity, and frequency. The range of involved parameters is chosen to cover the practical data span of perforates in typical exhaust systems of internal combustion engines. The empirical impedance model is obtained by using nonlinear regression analysis of the various results of the parametric tests. The proposed empirical model of orifice impedance, with a very high correlation coefficient, is applied to the prediction of the transmission loss of concentric resonators, which have geometric configurations typical of acoustically short and long through-flow resonators. By comparing the measured and predicted results, in which the predictions are made by employing many previous orifice impedance models as well as the present model, it is confirmed that the proposed orifice impedance model yields the most accurate prediction among all other existing impedance models. (C) 2003 Acoustical Society of America
Locally robustable gain scheduling in nonlinear systems with uncertain time varying inputs
No full textIn this paper, we propose a gain scheduling control law in nonlinear systems with bounded uncertain time varying inputs. A matching condition is presented to cancel the uncertainty which appears in the term linked directly with the control inputs. If the nonlinear systems are locally robustable, using the proposed control law, the output error can be reduced to the desired bound. Finally, an illustrating example for the regulation problem is provided
A unified estimation for scheduled controllers in nonlinear systems
No full textThis letter focuses on the design of a unified estimator for scheduled control in nonlinear systems with unknown parameter. An estimation law with a finite convergence time is formulated tu compute the unknown scheduling parameter that drives a scheduled controller. This estimator call also be extended to the types of scheduled controllers addressed in the literature [1]-[4]
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