By Dash Ch. Sanjeev Kumar, Pandia Manoj Kumar (auth.), Suresh Chandra Satapathy, Siba K. Udgata, Bhabendra Narayan Biswal (eds.)

The quantity includes the papers awarded at FICTA 2012: foreign convention on Frontiers in clever Computing: thought and purposes hung on December 22-23, 2012 in Bhubaneswar engineering university, Bhubaneswar, Odissa, India. It includes 86 papers contributed by way of authors from the globe. those learn papers commonly excited about program of clever strategies inclusive of evolutionary computation strategies like genetic set of rules, particle swarm optimization options, teaching-learning established optimization and so forth for numerous engineering purposes resembling facts mining, picture processing, cloud computing, networking and so forth.

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Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)

The amount includes the papers provided at FICTA 2012: overseas convention on Frontiers in clever Computing: conception and functions hung on December 22-23, 2012 in Bhubaneswar engineering collage, Bhubaneswar, Odissa, India. It includes 86 papers contributed by means of authors from the globe. those study papers mostly curious about program of clever suggestions such as evolutionary computation recommendations like genetic set of rules, particle swarm optimization innovations, teaching-learning dependent optimization and so on for numerous engineering functions similar to info mining, picture processing, cloud computing, networking and so on.

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Extra info for Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA)

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Electron. 48(5), 983–994 (2001) 4. : Antisway tracking control of overhead cranes with system uncertainity and actuator nonlinearity using an adaptive fuzzy sliding mode control. IEEE Trans. on Industrial Electronics 55(11), 3972–3984 (2008) 5. : A controller enabling precise positioning and sway reduction in bridge and grany cranes. Control Engineering Practice 15, 825–837 (2007) 6. : Fuzzy logic in control systems: Fuzzy logic controller—Parts I, II. IEEE Trans. , Man, Cybern. 20, 404–435 (1990) 7.

Two variables that are read using optical encoders, installed on the cart, are the load angle and the cart position on the rail. The controller’s task will be to change the DC motor A Non-Fuzzy Self-Tuning Scheme of PD-Type FLC for Overhead Crane Control 37 voltage depending on these two variables, in such a way that the desired crane control task is fulfilled. 5v and the generated force is of around -20N to +20N. 5m. Fig. 1. Overhead crane set-up Fig. 2. Model of the overhead crane Fig. 3. Mechanical unit of the overhead crane system Fig.

GA Optimizer is a genetic algorithm based optimizer which optimizes the parameters of the rule-base. 2 (i) (ii) (iii) (iv) Major Operational Steps of GA Optimizer Initialize the population Calculate the fitness for each individual in the population Reproduce selected individuals to form a new population Perform evolutionary operations, such as crossover and mutation on the population (v) Loop to step (ii) until the required condition is met. 3 23 Feature Selection and Normalization There are 20 amino acids which are named as: alanine(A), aspartic acid(D), phenylalanine(F), histidine(H), lycine(K), methionine(M), Proline(P), ARginine(R), threonine(T), tryptophan(W), cysteine(C), glutamic acid(E), glicine(G), Isoleucine(I), leucine(L), asparagiNe(N), glutamine(Q), serine(S), valine(V), tYrosine(Y).

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