Sharzeel Saleem

This paper presents a comparative analysis of a long-term evolution advanced (LTE-A) and fifth-generation new radio (5G-NR), focusing on the effects of transient electromagnetic interference (EMI) caused by catenary–pantograph contact in a railway environment.A software-defined radio (SDR)-based prototype was developed to evaluate the performance of LTE-A and 5G-NR links under the influence of transient interference. The results show that both links experience considerable degradation due to interference at different centre frequencies. Performance degradation is proportional to the gain of interference. The measurement results show that both links experience considerable performance degradation in the presence of transient EMI.

Emotion detection is an important aspect in the development of AI based systems to assist humans. People affected with neurological disorders are paralyzed and have difficulty in expressing their emotions. Identifying their emotions and act accordingly helps to keep them happy and healthy. In this paper we have attempted a system that detects and classifies human emotion using Electroencephalography (EEG) signals. The process involves getting the data from the four electrodes placed on the scalp of a human and monitoring the brain activity. The algorithm uses a Long Short-Term Memory network (LTSM) which gives a training accuracy of 95.55%.

Digital drawing is the outcome of imagination combined with advanced innovation. Digital painting or digital canvas is an example of the same. One of the centers empowering advancements is going touchless while an artist creates his work. Nevertheless, it is still not the best possible way for an artist to pen down his idea still it is the need of the post COVID world. These systems that utilize an advanced technology usually obliterates the precision of art, for example, connection with the advanced tablet can’t give the input of unpretentious surface, drawing on a touchless screen could be employed as a method in a post-Covid-19 world where the problem of contacting a surface or a person is a challenge. This system aims to find an alternative for the same. The application of python extends widely when it comes to gaming or visualizing one’s ideas. OpenCV library of python used for image processing and image visualization is on the rise and we have used the same in the system explained. In this paper, a review has been done on various techniques used for digital drawing and based on those findings one such technique has been proposed for digital drawing have been stated.

The fourth industrial revolution being very near has compelled various fields of engineering to collaborate and hence the authors have come up with a system that utilizes various fields of Electronics and Mechanics to be employed in upcoming fully automated industries. This paper presents the methodology involved in developing a robotic arm with six degrees of freedom which can be remotely accessed from anywhere with the help of a Wi-Fi module. The arm can be moved by giving specific commands through a smart phone. The robotic arm is embedded with six different servo motors to enable six degrees of freedom. These motors are an essential part of the system and enables free movement of the arm in the desired direction. The open-source platform NodeMCU is used to control the system motors. The user interface is built on an application ‘Blynk’. The system has a Wi-Fi module through which the communication is carried out in NodeMCU. The signal is then passed on to the microcontroller. However, the authors have also included a security protocol for accessing the system in which the user has to login using the credentials, this paper explains the working of a customized robotic arm which is accessed remotely and the performance of the prototype has been analyzed in terms of degree of rotation versus time elapsed.

A world hunger crisis has risen since 2019 when COVID-19 hit the world. This pandemic has shifted this generation back in time, and now it is very important to be involved in new techniques that are effective in terms of better yield with less toxins. With the rate at which the population is growing, it is expected that by the year 2050, the world population would cross 9 billion. This exponential rise would require the food production to rise by 70 to 80%. This is a matter of concern for agriculture and food industries. As the world is in the fourth industrial revolution, it is the need of the hour to embed artificial intelligence and machine learning algorithms with agriculture. This research aims to accumulate different methodologies that are present and come up with a critical analysis. These methodologies have the capability to increase the yield, predict the diseases, and even increase the safety and help enhance traceability.