Journal of Future Generation of Communication and Internet of Things
Volume:1 Issue: 2, Dec 2021

In model-based testing (MBT), the quality of input models and their relevance with the testing target has a direct impact on the quality of the test suite and the effectiveness of the whole testing process. Choosing inappropriate models may increase the number of MBT steps and may not fulfill the testers' expectations. In this paper, we focus on different input models of MBT and represent a classification framework for them. The classification is performed by considering their nature and testing abilities. We discuss the strengths and weaknesses of test models regarding their potential for generating test cases, and summarize the existing works in the literature based on the proposed classification framework. The aim of this paper is to improve the understanding of model-based test case generation approaches and help the testers to choose appropriate models to exploit test cases with regard to their testing goals and purposes.

Today due to the increasing consumption of electrical energy and the use of non-linear loads that create transient regime states in distribution networks, analysis of power quality for energy sustainability in power networks has become more important. Transients are often created by energy injection through switching or lightning and make changes in voltage and nominal current. Sudden increase or decrease in voltage or current makes characteristics of the transient regime. This paper investigates and identifies capacitor bank switching, which is one of the causes of oscillatory transient regime states in distribution network, using wavelet transform. By identifying the switching current of capacitor bank and the internal fault current of the transformer to prevent the unnecessary outage of differential relay, it will propose a new smart method. The accurate performance of this method is shown by simulation in EMTP and MATLAB

The Internet of Things is one of the newest technologies in the field of intelligent materials, goods, equipment and work processes. This concept is especially important because when objects can present themselves digitally, they will eventually become phenomena far beyond the totality that they really are. The purpose of the Internet of Things is to enable objects to connect with anything and anyone at any time and place. In this study, we examine this important.

Chaos is an unpredictable phenomenon that have been drawn attention in nonlinear dynamic systems. precise studies and experimental analysis on spur gear dynamic response have been shown nonlinear bifurcation phenomena occurrence and chaos in some system parameters, therefore the controlling of chaos phenomenon in spur gear as a nonlinear dynamic system have been investigated. Spur gear role have been selected to be analyzed due to be as an important component in industrial rotating machine and also as a power transmission systems. Chaotic behavior that been recognized as an uncommon and unpredictable manner in system response have been considered as an unfavorable phenomenon in spur gear system vibrations. Designing optimal spur gear system, controlling or removing the said behaviors are significant. Smart fuzzy controllers have been used in order to control the chaos and keeping the stability of system. In order to optimize the proposed controlling system and providing the fuzzy control requirement, the educated expert information on systems is needed and also the NSGAII extended genetic algorithm has been added to controlling structure. The simulation results in MATLAB software have been revealed that optimal combinational controlling strategy could remove chaos and achieve the spur gear to determined condition and place in a proper time after conducting the inputs

The IoT can lead to disruptive healthcare innovation. Research articles on IoT in healthcare and COVID-19 pandemics are thus researched in order to discover the potential of this technology. This literature-based research may help professionals to explore solutions to associated issues and battle the COVID-19 epidemic. Using a process diagram, IoT’s significant accomplishments were briefly evaluated. Then seven critical IoT technologies that look useful in healthcare during the COVID-19 Pandemic are identified and illustrated. Finally, in the COVID-19 Pandemic, potential fundamental IoT applications were identified for the medical industry with a short explanation. The present predicament has opened up a fresh avenue to creativity in our everyday lives. The Internet of Things is an up-and-coming technology that enhances and gives better solutions in the medical area, such as appropriate medical record-keeping, sample, device integration, and cause of sickness. IoT’s sensor-based technology gives a remarkable ability to lower the danger of intervention in challenging circumstances and is helpful for the pandemic type COVID-19. In the sphere of medicine, IoT’s emphasis is on helping to treat diverse COVID-19 situations accurately. It facilitates the work of the surgeon by reducing risks and enhancing overall performance. Using this technology, physicians may readily identify changes in the COVID-190 s vital parameters. These information-based services provide new prospects for healthcare as they advance towards the ideal technique for an information system to adapt world-class outcomes by improving hospital treatment systems. Medical students may now be better taught and led in the future for the identification of sickness. Proper use of IoT may assist handle several medical difficulties such as speed, affordability, and complexity appropriately. It may simply be adapted to track patients’ calorific intake and therapy with COVID-19 asthma, diabetes, and arthritis. In COVID-19 pandemic days, this digitally managed health management system may enhance the overall healthcare performance.

Population expansion, urbanization and industrialization of cities on the one hand and the rapid growth of technology, access to new production processes, replacement of synthetic materials instead of natural fibers and synthesis of thousands of types of chemical substances and compounds on the other hand produce solid and liquid hazardous wastes. Hazardous waste is generated at various stages of exploration, transportation, manufacturing, distribution and consumption of the product. At each stage, the hazardous waste management system requires special facilities and equipment, which include land, structures and other belongings that are used to store, recycle, recover, treat or dispose of hazardous waste. In this regard, intelligent management of hazardous waste using up-to-date methods and facilities, including the Internet of Things (IoT), is of great importance. Based on this, hazardous waste management facilities are divided into three general categories: recycling / recovery, treatment and disposal on land, and in each category, different methods have been studied. This paper also describes how to use the IoT at different stages of hazardous waste management. Studies show that the use of IoT can increase the efficiency of all hazardous waste management chains.