Abstract
This paper mainly presents the purpose is to discuss the bond graph elements basics and is compared with various disciplines. Among various disciplines only electrical, mechanical, and hydraulics with examples are step by step procedure is explained and designed in bond graph model using 20 sim 4.7.
Highlights
This paper mainly presents the purpose is to discuss the bond graph elements basics and is compared with various disciplines
The paper consists of a review on Bond Graph i.e. Elements, power variables, energy variables, port models, causality and comparison of various domains of Bond Graphs have been primarily used to model and predict behavior of physical systems across multiple energy domains (Nagalakshmi, 2018; Damic, 2010; Ranjeeth,2020)
There is a vast literature on Bond Graph models for a wide variety of physical domains like electrical, mechanical, hydraulic systems and examples are designed in bond graph model by using 20 sim 4.7 and wave forms are obtained for some examples has been discussed (Gordana, 2017; Sampathkumar, 2020; Usha, 2020;Ranjeeth, 2019)
Summary
The paper consists of a review on Bond Graph i.e. Elements, power variables, energy variables, port models, causality and comparison of various domains of Bond Graphs have been primarily used to model and predict behavior of physical systems across multiple energy domains (Nagalakshmi, 2018; Damic, 2010; Ranjeeth,2020). Brain is a vital organ which acts as a central nervous system. Brain Tumors (BTs) are considered to be most dreadful disease which mitigates the lifetime of a human being within a short span of time. Earlier prediction of BT is highly essential and significant to extend the patient's lifespan. This is accomplished by using Magnetic Resonance Imaging (MRI) scanning model which is applied extensively by radiologists in order to examine the BT. ; the scan report shows whether the brain is healthy or unhealthy. Followed by, it finds the class of tumors when it is affected by a disorder. Developer’s assumed 3 portions namely, Pre-processing of MRI, Feature generation, and extraction as well as Classification
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