International Journal of Grid and Distributed Computing

Power Management of Hybrid Electric Vehicle

Nayana Padmawar, Prof. Mrs. B.S.Dani — 2022-04-26

This paper has presented an overview of the modelling and simulation of hybrid electric vehicle (HEV) Different modelling methods are presented with powertrain component and system modelling examples. This simulation tool is meant as a help in the design and evaluation of the hybrid electric vehicle. Components in the driveline can be varied and the effect on the hybrid electric vehicle fuel efficiency can be investigated. The demonstration shows different operating modes of the HEV over one complete cycle: accelerating, cruising, recharging the battery while accelerating and regenerative braking.

Employing Novel Deep Learning Techniques to Identify Different Forms of Brain Tumors

Dr. Y. Raju, Dr.C. Rama Seshagiri Rao, Dharamsotu Bheekya — 2022-05-01

The ratio of specialist doctors such as hematologists and oncologists and the number of people per doctor is 1:20,366, which exists the developed countries like America. Then imagine how much it would be in the entire world. The medical industry has progressed tremendously over the past decades. Specifically, visual and image recognition is being used for many purposes in many fields very actively. The general Artificial Intelligence (AI) topics, such as Neural Networks (NN) and related concepts, have also gained more popularity in the last decades. This article proposes a Convolutional Neural Networks (CNN) architecture from scratch with data augmentation, image processing approaches, and neural network pattern recognition. Our proposed CNN model is compared with the existing architecture VGG-16. The comparison result states that the proposed CNN model is more suitable for detecting brain tumors. Although the data we have used to train the model is comparatively tiny compared to any industrial application database, the proposed model displayed better accuracy and results than the VGG-16 for the brain tumors detection problem.

Moreover, the proposed model uses less computational and memory power than the VGG-16 model. Secondly, the proposed CNN model reduces dataset usage from unknown sources. This paper shows how we can take the user consent and store the data to build an accurate data set for future educational and medical researchers and retrain the models for better results.

Design and Implementation of 2-Ray Modelling for MIMO Outdoor Scenario Using Wireless InSite software

Mohammed M. Abdulwahid — 2022-08-31

In order to manage communications in an outdoor setting, this research proposes a Multiple Input Multiple Output (MIMO) antenna array with three transmitter device orientations and a 2-Ray Model. These would be referred to as the (Horizontal, Vertical and Planar). The line-of-sight (LoS) rays and the ground-based reflected rays between the Tx and Rx have both been taken into account by the suggested 2-Ray model. Utilizing the most popular software for a route propagation-based ray tracing technique, the inquiry was conducted (Wireless InSite software). For our study, several parameters and various Txheights have been taken into consideration along with outcomes analysis. The three situations' respective affects came from the effects of various antenna polarizations, directivities, and diversity methods.