Article Per Year (5 Year)
p-Index From 2020 - 2025
0.882
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Electronics and Communications Systems International Journal of Hydrological and Environmental for Sustainability
Saxena, Arti
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Application of Induced Polarization and Resistivity to the Determination of the Location of Minerals in Extrusive Rock Area, Southern Mountains of Java, Indonesia Saparun, Moh; Akbar, Rajabal; Marbun, Mahmuddin; Dixit, Aparna; Saxena, Arti
International Journal of Hydrological and Environmental for Sustainability Vol 1, No 3 (2022): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v1i3.137

Abstract

Mountainous areas often have a lot of natural wealth. The existence of geological appearances in the form of outcrops which are products of intrusion and alteration, indicates that the Pacitan area is a mineralized zone. In this study, geophysical measurements were carried out using the Induced Polarization (IP) method in the area where mineralization was suspected. The polarization induction method is expected to prove the presence of a mineralized zone in the Pacitan area. From the research results, line 1, line 4, line 5, line 6 and line 7 are areas with high chargeability values. So it can be proven that the area with high resistivity and high chargeability is an area with mineralization. Judging from the geological conditions on the surface, there are also outcrops which show that there is an intrusion and the result of alteration. So it can be concluded that the area has a fairly high mineralization. In measuring the correlation between magnetic anomalies and IP, the results are very supportive of each other that the area is a mineralized area, if we look at the resistivity, and chargebility.
Estimation of kernel density function using Kapur entropy Chawla, Leena; Kumar, Vijay; Saxena, Arti
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp6016-6022

Abstract

Information-theoretic measures play a vital role in training learning systems. Many researchers proposed non-parametric entropy estimators that have applications in adaptive systems. In this work, a kernel density estimator using Kapur entropy of order α and type β has been proposed and discussed with the help of theorems and properties. From the results, it has been observed that the proposed density measure is consistent, minimum, and smooth for the probability density function (PDF) underlying given conditions and validated with the help of theorems and properties. The objective of the paper is to understand the theoretical viewpoint behind the underlying concept.
Kernel density estimation of Tsalli’s entropy with applications in adaptive system training Chawla, Leena; Kumar, Vijay; Saxena, Arti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2247-2253

Abstract

Information theoretic learning plays a very important role in adaption learning systems. Many non-parametric entropy estimators have been proposed by the researchers. This work explores kernel density estimation based on Tsallis entropy. Firstly, it has been proved that for linearly independent samples and for equal samples, Tsallis-estimator is consistent for the PDF and minimum respectively. Also, it is investigated that Tsallisestimator is smooth for differentiable, symmetric, and unimodal kernel function. Further, important properties of Tsallis-estimator such as scaling and invariance for both single and joint entropy estimation have been proved. The objective of the work is to understand the mathematics behind the underlying concept.
Modifying the DC Servo Motor Observed by Particle Swarm Optimization Techniques Saxena, Arti; Panse, Vishal R; Asyhari, Ardian; Umam, Rofiqul; Michalska-Domańska, Marta; Dixit, Aparna
International Journal of Electronics and Communications Systems Vol. 4 No. 2 (2024): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v4i2.25071

Abstract

The PID controller's optimized tuning improves the control system's functionality. This work presented the tuning of the PID/FOPID controller by the conventional Ziegler-Nichols (ZN) method and the Particle Swarm Optimization (PSO) algorithm. The PID controller is the most popular in the industry because it is simple to implement, has good computing ability, and provides a robust system. These methods are implemented on the DC servomotor system to optimize the transient responses like rise time (??), settling time (??), and peak overshoot (??) to get a better result. The PID controller tuned by the conventional ZN method gives a longer settling time, a longer rise time, and a higher peak overshoot. The PSO algorithm is utilized to overcome the significant overshoot and considerable settling time obtained in the conventional Ziegler-Nichols method. Analyzing and comparing the MATLAB simulation results, it is observed that PSO algorithms provide a better-optimized response over the ZN method with FOPID controller in respect of less rise time (?? =0.0392 sec.), less settling time (??=0.0605 sec.) and peak overshoot (??=1.92 percent). The results obtained by the proposed controller provide better reliability and better response.
Co-Authors Akbar, Rajabal Ardian Asyhari Chawla, Leena Dixit, Aparna Mahmuddin Marbun Michalska-Domańska, Marta Panse, Vishal R Rofiqul Umam Saparun, Moh Vijay Kumar