Measuring the Impact of the Spread of Electronic Payment Methods on the Market Value of the Bank Using the ARDL Methodology Applied Research at the International Development Bank

The research problem was represented in the problem of the weak use of banks for modern technologies represented by payment tools such as (electronic cards) and the weakness of strategies for disseminating them in a way that meets the needs and desires of customers in a way that can attract the largest number of customers. By adopting the descriptive statistical approach and using the statistical analysis program (Eviews 12) to test the research hypotheses, and the results of estimating the relationship between electronic payment methods represented by electronic cards and automated teller machines in the market value of the stock indicates the significance of the estimated relationship and that there is an effect of electronic payment methods on the market value of the stock

Design and development of visible light communication-based underwater communication system for recreational scuba diving

Visible light communication (VLC) is a type of data communications which uses the visible light spectrum in the 350-800nm wavelength range. Light signals are converted into electrical pulses to indicate a specific information which in this case, diving instructions. In this study, VLC is used in an underwater communication system for recreational diving activities in order to reinforce the conventional hand signaling protocols. Wearable LED-based transmitter and phototransistor-based receiver were used. The hand-held transmitter was used to emit different light pulses corresponding to 16 commands in which 13 are standard scuba diving hand signals. The goggle receiver process and translates these pulses into an audio signal which can be heard by the diver through waterproof earphones. The VLC system developed was able to achieve an average signal reception accuracy of at least 97.0% on a series of tests conducted underwater with a maximum transmitter-to-receiver distance of 5m using white LEDs. © 2020, World Academy of Research in Science and Engineering. All rights reserved

Rapid T1 quantification from high resolution 3D data with model-based reconstruction

In-vivo datasets used in the work "Rapid T1 quantification from high resolution 3D data with model-based reconstruction" with DOI: 10.1002/mrm.2750

Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks

We propose a novel interpretation and usage of Neural Network (NN) in modeling physiological signals, which are allowed to be nonlinear and/or nonstationary. The method consists of training a NN for the k-step prediction of a physiological signal, and then examining the connection-weight-space (CWS) of the NN to extract information about the signal generator mechanism. We de. ne a novel feature, Normalized Vector Separation (gamma(ij)), to measure the separation of two arbitrary states i and j in the CWS and use it to track the state changes of the generating system. The performance of the method is examined via synthetic signals and clinical EEG. Synthetic data indicates that gamma(ij) can track the system down to a SNR of 3.5 dB. Clinical data obtained from three patients undergoing carotid endarterectomy of the brain showed that EEG could be modeled (within a root-means-squared-error of 0.01) by the proposed method, and the blood perfusion state of the brain could be monitored via gamma(ij), with small NNs having no more than 21 connection weight altogether