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This research seeks to propose an innovative mathematical approach for measuring student performance in engineering education. This paper also includes a detailed analysis and the numerical solutions to this mathematical model. The designed mathematical model is constructed upon four categories, average candidates, weak candidates, below average candidates and good candidates. For the numerical results of the designed nonlinear mathematical model, the analysis through the Adams numerical scheme is applied for solving the differential system based on the migration rate and average student rate moves to weak and above average. Moreover, artificial neural network is also applied to get the stochastic results ANNs-LMB, also known as Levenberg-Marquardt training algorithm. The ANNs-LMB procedures have been implemented with three samples of data scales using the authentication, testing and training, which are chosen as 75%, 15% and 10%, respectively. According to the findings, when the rate of students leaving engineering studies increased, good students performed better, and when the rate of students below average moved, it was due to an increase in the rate of migration above average, the performance of the good students was only impacted in this way. This research material can be used in different designs and models to improve the students’ performance.

Wireless telecommunications systems have expanded rapidly over the past few years. Wireless Body Sensor Network (WBSN) is a relatively novel area of research and development in healthcare systems. However, it has multiple constraints and challenges regarding human health, social interactions, coverage radius, energy consumption, and communication reliability. In addition, communications between nodes can contain highly sensitive personal information, while hostile environments will impose a wide range of security risks. Therefore, designing authenticated key agreement (AKA) protocols is a crucial challenge in these networks. The current study, considering the security issues of the Li et al. scheme and some of their new extensions, proposes an improved AKA protocol with anonymity and unlinkability of the sensor node sessions. The results of theoretical analysis compared with similar schemes indicated that the proposed scheme could reduce average energy consumption and communication cost by 41 percent. It also reduced the average computation time by 61 percent. Furthermore, it was shown by formal/informal analyses that, on top of unlinkability and anonymity features, other central security features in the current scheme were similar and comparable to those in the recent and similar schemes.

This paper is to present a new image steganography technique based on quantum walks (QWs). In the proposed technique, the secret image is a gray-scale and the cover is a color image. The main contribution of QWs is to select one channel from (RGB) of the cover image that will host the secret bits. The performed analysis provides the proposed approach a strong base in the field of image steganography. The mean values of the results obtained based on analysis are as follows: PSNR is 48.5978, SSIM is 0.9964, UIQ is 0.9727, NCC is 0.996, and the capacity is 2-bit/pixel.

The central role of the cloud data warehouse is to ensure the security of confidential data that can be achieved via techniques of steganography and cryptography. Amidst the growth of quantum computation, modern data security tools may be cracked because of its structure based on mathematical computations. Quantum walk (QW) acts as a vital role in designing quantum algorithms, which is a universal computational model. Therefore, we allocate the advantages of QWs to design a QWs-based novel image steganography mechanism for cloud systems, which the embedding/extraction process for the secret object is based on quantum concepts. The presented technique has three algorithms of image steganography. The core idea for presenting these algorithms is to embed the sensitive object into the host media without a pre-encryption process for the secret data, which its security and embedding procedures are entirely based on quantum walks. As well opens the door for quantum technologies to be combined with information hiding techniques to achieve better security. The presented technique uses gray-scale or color images as a confidential object to be hidden into the carrier image, as well the embedded object can be any data, e.g. text or audio files and not restricted to image files. Security analysis and experimental results confirm that the suggested algorithms have good visual quality and high-security based on QWs as well high embedding capacity.