Imperialist Competitive Algorithm (ICA) is a new population-based evolutionary algorithm. It divides its population of solutions into several sub-populations, and then searches for the optimal solution through two operations: assimilation and competition. The assimilation operation moves each non-best solution (called colony) in a sub-population toward the best solution (called imperialist) in ...

Abstract The task of fault detection is crucial in modern chemical industries for improved product quality and process safety. In this regard, data-driven (FD) strategy based on independent component analysis (ICA) has gained attention since it improves monitoring by capturing non-gaussian features the data. However, presence measurement noise data degrades performance FD masks important inform...

Uninterruptible power supply is the main motive of power utility companies that motivate them for identifying and locating the different types of faults as quickly as possible to protect the power system prevent complete power black outs using intelligent techniques. Thus, the present research work presents a novel method for detection of fault disturbances based on Wavelet Transform (WT) and I...

Shiels, H. A., J. M. Blank, A. P. Farrell, and B. A. Block. Electrophysiological properties of the L-type Ca current in cardiomyocytes from bluefin tuna and Pacific mackerel. Am J Physiol Regul Integr Comp Physiol 286: R659–R668, 2004. First published December 4, 2003; 10.1152/ajpregu.00521.2003.—Tunas are capable of exceptionally high maximum metabolic rates; such capability requires rapid del...

In this paper, we developed a wavelet neural network (WNN) algorithm for electroencephalogram (EEG) artifact. The algorithm combines the universal approximation characteristics of neural networks and the time/frequency property of wavelet transform, where the neural network was trained on a simulated dataset with known ground truths. The contribution of this paper is two-fold. First, many which...

Recently, Independent Component Analysis (ICA) has been applied to not only problems of blind signal separation, but also feature extraction of patterns. However, the effectiveness of features extracted by ICA (ICA features) has not been verified yet. As one of the reasons, it is considered that ICA features are obtained by increasing their independence rather than by increasing their class sep...

Medicare beneficiaries face myriad rules, conditions, and exceptions under the Medicare program. As a result, State Information, Counseling, and Assistance (ICA) programs were established or enhanced with Federal funding as part of the Omnibus Budget Reconciliation Act (OBRA) of 1990. ICA programs utilize a volunteer-based and locally-sponsored support system to deliver free and unbiased counse...

1. Whole-cell, high-threshold, voltage-dependent calcium currents (ICa) were enhanced in acutely dissociated, capsaicin-sensitive dorsal root ganglion neurones from diabetic Bio Bred/Worchester (BB/W) rats, compared with those from age-matched, non-diabetic controls. The magnitude of the enhancement increased with the duration of diabetes, and reached significance at diabetic durations of 6 mon...

Heat recovery by combined heat and power (CHP) systems to provide load reduces the cost of microgrid (MG) energy management. However, transfer from CHP consumers is limited due loss pipelines. The amount varies depending on pipeline material environmental characteristics. Here, a day-ahead management CHP-based microgrid, including various types supply electrical thermal loads, performed. In thi...

Complex independent component analysis (ICA) of frequency-domain electroencephalographic (EEG) data [1] is a generalization of real time-domain ICA to the frequency-domain. Complex ICA aims to model functionally independent sources as representing patterns of spatio-temporal dynamics. Applied to EEG data, it may allow non-invasive measurement of flow trajectories of cortical potentials. As comp...