Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

A comparative study of prediction of hourly slope irradiation

Abstract: These days, the installation of solar photovoltaic panel is increasing rapidly around the world Solar irradiation data is very essential for modeling of solar panels but lack of solar insolation become barrier To improve the performance of solar panel, shortest time interval calculation of solar irradiation measurement and prediction on inclined surface are required Solar global irradiation on inclined surface have a nonlinear relations with input variables such as extraterrestrial irradiance, global solar irradiance on flat surface, zenith angle and incident angle In this paper, Decision Tree Model, Random Forest Model, Generalized Linear Models, Artificial Neural Network, Linear Regression Model and Adaptive Neural Fuzzy Interference System model are implemented to predict the value of solar global irradiance on inclined surface, so as to perform a comparative study Here, rattle package in R software is used to achieve the desired accuracy at location Jodhpur (Rajasthan, Bharat)

User Response Based Information Quality Assessment of Social Media News Posts

Abstract: Information on social media platform suffers from lack of monitoring. So the evaluation of information credibility on the social media platform is an important subject. Specifically, social media have become popular for news consumption. News in its purest form, unbiased and trustworthiness is a big challenge. Through social media the information spread at such a fast rate, that false information perceives potential to cause real-world impacts on millions of users within a minute. Despite its importance, research has not taken its upliftment to mitigate the factors influencing information quality. In this paper, we will review the content dimension by studying Information quality of news on social media. We discuss this problem by presenting a dimension and levels to IQ. We test and validate the proposed model by computing IQI through distribution. The results show that based on user responses we can provide an IQ index to the news article. Providing a scale to measure the credibility of content. The prediction that a particular news article to what extent it is trustworthy based on the analysis of user responses to the dimension of IQ can be an important step to fight against digital misinformation.

Nonlocal theory of stimulated Raman backscattering in a strongly magnetized plasma

Abstract: A nonlocal theory of stimulated Raman backscattering (BSRS) parametric instability of a large amplitude electromagnetic (EM) mode in a strongly magnetized plasma e.g., one encountered in a plasma filled backward wave oscillator, is reported. The EM mode is unstable to parametric instability in a magnetized plasma and decays into a Trivelpiece-Gould (TG) mode and a sideband EM mode. The growth rate of instability (Γ) scales proportional to three-fourth power of plasma density. For a typical BWO the growth rate is ∼108 s-1

Computerized detection & classification of ECG signals

Abstract: An electrocardiogram (ECG) is a recorded representation of electrical activity of heart with respect to time Being a very important diagnostic tool for determining various heart functions, computer based ECG interpretation is a computing system that records and automatically detects the variations in important parameters of a given ECG recording These parameters are very critical for doctors while examining the condition of the heart of a patient Identification of the specific area of the heart under problem and the extent of damage done are the basic areas which have been highlighted for proper diagnosis to save patient's life This paper, proposes an approach to determine the values of the amplitude of P, QRS & T together with time durations (PR, RR, QRS, and QT) From these calculations, the heart condition whether it is normal or not, is determined along with amount of variation so that the cardiologist can recommend the amount of dosing required for the medicine for the ailment of the patient It also classifies the ECG into seven major cardiac problems In this thesis, we have introduced a curve mapping technique based on slope method to detect & classify the ECG signals into seven major cardiac problems The accuracy rate arrived in the slope method ranges from 92% to 100%, for seven cardiac conditions with an overall average 9657 %

A Vector Control Based Supercapacitor Current Control Algorithm for Fuel Cell and Battery - Supercapacitor Integrated Electric Vehicles

Abstract: While driving an electric vehicle, one of the prominent factor which plays a vital role in determining vehicle performance, is load variation. In order to achieve the load levelling, satisfactory recovery of braking energy and for better performance in transient load conditions, the energy storage systems like batteries and supercapacitors must be employed in fuel cell electric vehicles. In this paper, fuel cell stack is integrated with battery and supercapacitor at DC link of the motor drive system for driving the induction motor. The fuel cell is directly connected to the DC link, while battery and supercapacitor are connected through bidirectional New boost converter. The battery in the New boost converter is responsible for the dc link voltage stabilization and supercapacitor deals with load transients. The field oriented vector control of the induction motor is utilized on the drive side to achieve the diverse vehicle speed and load torque demands. Here, a new strategy is introduced for the supercapacitor reference current calculation in the New boost converter, from the torque and flux producing components of the induction motor stator reference currents $I_{qs}^{*}$ and $I_{ds}^{*}$ to meet the transient speed and load variations. The analysis of the integrated system along with power sharing among fuel cell, battery and supercapacitor for the diverse vehicle speed and load torque variations is carried out in MATLAB/Simulink, and corresponding simulation results are reported.