This article develops and defines Blockchain technology in its classic format. New suggested proposed algorithms are then analyzed in order to introduce new and modified versions of Blockchain technology. After that, fundamental infrastructure is presented in order to represent its application in new generation of telecommunications. In addition, this article interrogates these algorithms and their efficiency to make secure connections that transfer data packets in any format (boxes or packets of information) in a secure and encrypted method at which sender and receiver of information remain anonymous. Then, this research describes applications of the novel approach in new format of making live stream technology in real world communications. Moreover, according to this new approach, new concepts can be predicted in the new generation of social media based on live communications. Meanwhile, the compatibility is justified for consistency, reliability and flexibility of this new proposed technology with other existing and defined format of technology in today's world. At last, conclusions of this new emerging technology and its superiority compared to other designed technologies in the field of live streaming and telecommunications are discussed.

With the advancement of new technologies, the number of connected devices, the amount of data generated, and the need to build an intelligently connected network of things to improve and enrich the human ecosystem open new doors to modifications and adaptations of current cellular network infrastructures. While more focus is given to low power wide area (LPWA) applications and devices, a significant challenge is the definition of Internet of Things (IoT) use cases and the value generation of applications on already existing IoT devices. Smartphones and related devices are currently manufactured with a wide range of smart sensors such as accelerometers, video sensors, compasses, gyros, proximity sensors, fingerprint sensors, temperature sensors, and biometric sensors used for various purposes. Many of these sensors can be automatically expanded to monitor a user’s daily activities (e.g., fitness workouts), locations, movements, and real-time body temperatures. Mobile network operators (MNOs) play a substantial role in providing IoT communications platforms, as they manage traffic flow in the network. In this paper, we discuss the global concept of IoT and machine-type communication (MTC), and we conduct device performance analytics based on data traffic collected from a cellular network. The experiment equips service providers with a model and framework to monitor device performance in a network.

In this work, water is captured as regular fluid with suspension of two types of hybrid nanoparticles, namely molybdenumdisulfide (MoS₂) and graphene oxide (GO). The impact of Lorentz’s forces on mixed convective boundary-layer flow (BLF) is studied through an upright cylinder under the influences of thermal radiation. The shape factor is also assessed. The mathematical model for hybrid nanofluidis developed and, by implementing suitable similarity variables, the leading partial differential equations (PDEs) are altered into a non-linear ordinary differential equations (ODEs) system and then resolved through a bvp4c solver. The penetrations of varied parameters, such as thermal radiation, nanomaterials shapes (bricks, platelets, bricks and cylinders), magneto-hydrodynamics (MHD), and ratio parameters on the temperature and fluid velocity, along with the skin friction and the Nusselt number, are typified qualitatively via sketches. The opposing flow, as well as the assisting flow, is considered. The results indicate that the impact of hybrid nanofluid (HBNF) on the velocity and the temperature is more than nanofluid (NF). It is also scrutinized that the blade-shaped nanomaterials of hybrid nanofluid have a maximum temperature and brick-shaped nanomaterials have a low temperature. In addition, the friction factor and the heat transport rate decline due to the magnetic parameter and increase due to the shape factor. Moreover, the radiation uplifts the velocity and temperature, while the free stream Reynolds number declines the velocity and temperature. Finally, a comparison with available results in the literature are made and found in an excellent way. The ranges of constraints in this research are considered as: $0.01\le \lambda \le 0.2$ , $0\le M\le 4$ , $0\le \alpha \le 1.5$ , $0\le R_d\le 1$ , $1\le {\mathrm{Re}}_a\le 3$ , $0\le {\varphi }_1\le 0.1$ and $0\le {\varphi }_2\le 0.003$ .

In this paper, we present analytical-approximate solution to the time-fractional nonlinear coupled Jaulent–Miodek system of equations which comes with an energy-dependent Schrödinger potential by means of a residual power series method (RSPM) and a q-homotopy analysis method (q-HAM). These methods produce convergent series solutions with easily computable components. Using a specific example, a comparison analysis is done between these methods and the exact solution. The numerical results show that present methods are competitive, powerful, reliable, and easy to implement for strongly nonlinear fractional differential equations.

We provide a transfer matrix method for the Foldy-Wouthuysen representation of the Dirac equation. We develop the relationship between the reflection and transmission coefficients of the Dirac spinors and the wavefunction in the transformed representation. We develop a WKB approximation for Dirac fermions which has the same elegant form as the WKB solution to Schrödinger's equation. Our WKB approximation is to all orders and includes the semi-classical turning point. We provide an extension to fully 2-dimensional periodic structures by Fourier methods for band engineering. We verify our methods for all energies by comparison with analytic solutions developed in the Dirac spinor representation. We also include a rich appendix detailing our research into the Green's functions of Dirac fermions.