Scheduling algorithms for data-protection based on security-classification constraints to data-dissemination.

Communication networks have played a vital role in changing people's life. However, the rapid advancement in digital technologies has presented many drawbacks of the current inter-networking technology. Data leakages severely threaten information privacy and security and can jeopardize individual and public life.

Novel randomization and iterative based algorithms for the transactions assignment in blockchain problem.

This study focuses on the load balancing of the transactions in the blockchain. The problem is how to assign these transactions to the blocks. The objective is to guarantee a load balancing of the workload in the time of blocks.

Structural and morphological studies, and temperature/frequency dependence of electrical conductivity of BaLaTi NbO perovskite ceramics.

Conductivity measurements of our polycrystalline perovskite ceramic systems with a composition of BaLaTi NbO ( = 5, 7 and 10, in mol%) were performed, in order to investigate frequency and temperature dependence. Our ferroelectric ceramics were fabricated by the molten-salt method (chemical reaction followed by an evaporation and filtration reaction); X-ray diffraction patterns indicated that a single phase was formed for pure BaLT Nb ceramics. The electrical behavior of the ceramics was studied by impedance spectroscopy in the 500-610 K temperature range.

Smart-parking management algorithms in smart city.

Recently, various advanced technologies have been employed to build smart cities. Smart cities aim at improving the quality of life through the delivery of better services. One of the current services that are essential for any smart city, is the availability of enough parking spaces to ensure smooth and easy traffic flow.

ECG compression with Douglas-Peucker algorithm and fractal interpolation.

In this paper, we propose a new ECG compression method using the fractal technique. The proposed approaches utilize the fact that ECG signals are a fractal curve. This algorithm consists of three steps: First, the original ECG signals are processed and they are converted into a 2-D array.

Classification of Diabetes Using Photoplethysmogram (PPG) Waveform Analysis: Logistic Regression Modeling.

In this research, the photoplethysmogram (PPG) waveform analysis is utilized to develop a logistic regression-based predictive model for the classification of diabetes. The classifier has three predictors age, /, and SP indices in which they achieved an overall accuracy of 92.3% in the prediction of diabetes.

Numerical Modeling of the Electronic and Electrical Characteristics of InGaN/GaN-MQW Solar Cells.

In this paper, a numerical model allows to analyze the photovoltaic parameters according to the electronic properties of InGaN/GaN MQW solar cells under the effect of temperature, the number of quantum wells and indium composition. The numerical investigation starts from the evaluation through the finite difference (FDM) simulation of the self-consistent method coupled with the photovoltaic parameters taking into account the effects of the spontaneous and piezoelectric polarization. The results found were consistent with the literature.