Computational Sciences and Engineering
Volume:2 Issue: 2, Summer 2022

COVID-19 outbreak in Iran is studied and analyzed using Topological Weighted Centroid (TWC) algorithms. According to this algorithm the origin of the outbreak is mainly in the city of Qom. In addition, it predicts the centers of the epidemic spread in the future as well as pathways of this spread.

Forced convection solar dryer has been widely used for effective drying of agricultural products because it permits better ventilation which makes it less dependent on weather conditions and removes moisture faster, hence preventing stagnation. Though the solar dryer has proved its usefulness, its major obstacle in its applications is the optimization of its performance. For the future sustenance of the solar dryers, the design, development, and optimization must depend on thorough theoretical tools. Hence, the current study presents the finite element analysis simulation of forced convective heat transfer in a photo voltaic-powered solar dryer. For performance optimization in the solar dryer analysis, the effects of the following factors such as blower speeds, the chamber ratio of the solar dryer, on the pressure and temperature distributions as well as the velocity in the drying chamber were investigated. From the results, the performance of the drying chamber increases as its aspect ratio decreases and as the blower speed increases. The results of this work could therefore be used in the design of an optimized Photovoltaic-ventilated forced convection solar dryer.

Generalizing the notion of Connes amenability for LM(A, P, m, n), we study Φ- Connes amenability of LM(A, P, m, n) that Φ is a character on LM(A, P, m, n). Among the other things, we study when Φ- Connes amenability of LM(A, P, m, n) is equivalent to φ- Connes amenability of A where φ is the unique character on A associated to Φ. We apply this results to semigroup algebras.

Since the device performance is degraded with the elapsed time, it is essential to develop the novel device for enhancing the reliability. Hence, a modification inside the drain region of the SOI-MOSFET structure has been performed. A region oxide has been recessed in the drain in order to modify the electric field owing to dielectric permittivity change. The simulation results obtained by SILVACO showed the improvement of the short-channel effects in the terms of drain-induced barrier lowering, hot-carrier effects and threshold voltage fluctuation as compared to the conventional structure.

We apply utilized the extended form of the auxiliary equation method to obtain extensively reliable exact travelling wave solutions of perturbed Gerdjikov–Ivanov equation (GIE)that is widely used as a model in the field theory of quanta and non-linear optics. The method is based on a simple first order second degree ODE. The new form of the approach gives more solutionsto the governing equation efficiently.

One of the most principal operations in many PKCs is Modular Exponentiation (ME). This operation is usually performed by successive modular multiplications. So, the efficiency of these PKCs is released on the efficiency of the Modular Multiplication (M2) and modular exponentiation implementation. Therefore, it is essential to minimize the execution time of the M2 and the number of required M2 for performing the ME operation. This paper proposes a novel ME algorithm. In the developed algorithm, the Bit Forwarding (BF) and multibit-scan-multibit-shift techniques are employed for the performance improvement in the ME operation. The complexity analysis is accomplished to show that the developed exponentiation algorithm has benefit in the number of required multiplications. The results indicate that the presented algorithm improves the results compared to other modular exponentiation algorithms by about 11%-85%.

In the Engineering discipline, predictive maintenance techniques play an essential role in improving system safety and reliability of industrial machines. Due to the adoption of crucial and emerging detection techniques and big data analytics tools, data fusion approaches are gaining popularity. This article thoroughly reviews the recent progress of data fusion techniques in predictive maintenance, focusing on their applications in machinery fault diagnosis. In this review, the primary objective is to classify existing literature and to report the latest research and directions to help researchers and professionals to acquire a clear understanding of the thematic area. This paper first summarizes fundamental data-fusion strategies for fault diagnosis. Then, a comprehensive investigation of the different levels of data fusion was conducted on fault diagnosis of industrial machines. In conclusion, a discussion of data fusion-based fault diagnosis challenges, opportunities, and future trends are presented.

Due to the increasing consumption of fossil fuels and the resulting environmental pollution, using renewable and clean energy has been considered and various research has been conducted for investigating the possibility of using them as a stimulus for different energy conversion systems. Compared to other renewable energy sources, wind energy has the least harm to the environment. The waste heat energy in the wind turbine gearboxes in the temperature between 〖100〗^o C to 〖150〗^o C can be used as a stimulus for low-temperature systems. In the present study, using this low-temperature energy has been studied as an energy source for a power-cooling absorption cycle and a domestic hot water heat exchanger. At first, the energy, exergy, and exergy-economic formulation of the system is presented. Then, in the results section after the validation study, a comprehensive parametric analysis has been conducted to investigate the influence of changing the effective parameters such as the average wind speed, and the temperature on the performance of the proposed system. The obtained results show that the effect of changing the wind speed on the performance of the system is greater than other parameters.

One of the topics of curiosity in recent years in miscellaneous sciences such as physics and engineering is to attain analytical answers to evolution equations. In this work, a novel modification of the simplest equation method has been suggested to solve the nonlinear system of the partial differential equation. As an example, the proposed methods have been applied to achieve the exact solutions of the coupled generalized Schrödinger–Boussinesq system and Boussinesq-type coupled system. By giving specific values to the parameters, private answers are obtained and the plots of solutions are drawn. The newly-used method is highly accurate, flexible, effective, and programmable to solve systems of differential equations.

High breakdown voltage and reduced specific on-resistance are obtain in the new LDMOS structure with wide band gap material in the buried oxide. GaN with higher mobility and wider band gap energy than silicon is an important material that causes better performance in power devices. Moreover, self-heating effects of the proposed LDMOS structure is controlled using two other Si3N4 windows at the top and bottom of the GaN window. Our simulation with two-dimensional ATLAS simulator shows that the proposed three windows in buried oxide of the LDMOS transistor (TW-LDMOS) has better reliability than conventional LDMOS (C-LDMOS) structure due to the flexible behavior of the TW-LDMOS in higher drain voltages and reduced electron temperature.

Waste generation is on the rise in most societies due to population growth. Given this concern, it would be highly important to manage municipal solid waste generated in society. Mismanagement in this area could seriously endanger human health and the environment. This paper proposes a systematic approach to optimize the operations of a waste management network for recycling Municipal Solid Wastes (MSWs). In this regard, in this study, a bi-objective MINLP model to determine the best sustainable vehicle routes, allocation, and sequence scheduling problem in recycling centers with the objectives of minimizing costs and maximizing job opportunities is developed. Another important novelty of this paper is Considering waste-vehicle and waste-technology compatibility. To solve the suggested model firstly LP-metric approach is used in small-sized problems and for large sizes this approach was not efficient so the Lagrangian Relaxation (LR) method is employed. Therefore, a set of test problems in different sizes is provided.

This study focuses on optimizing process of the blood coagulation powder composition with response surface methodology. For this purpose, optimizing the synthesis conditions of powder composition, the response surface methodology (RSM) was used by Box-Behnken design (BBD). The variables of this method were sodium alginate (A) and zinc oxide nanoparticles (B), prepared in combination with a fixed percentage of shell powder and measured for different reactions. results showed that according to the response surface methodology, which is the most optimal case, to introduce this method as a suitable suggestion for this kind of problem in the applications of vascular surgeries, burns, etc., and direct to future pre-clinic and clinical studies.