Article Per Year (5 Year)
p-Index From 2021 - 2026
1.686
P-Index
This Author published in this journals
All Journal JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI International Journal of Electronics and Communications Systems International Journal of Hydrological and Environmental for Sustainability Islamic Journal of Integrated Science Education International Journal of Applied Mathematics, Sciences, and Technology for National Defense
Dixit, Aparna
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Mathematics Physics Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : International Journal of Electronics and Communications Systems

 1 
Analysis of Sr2Mg (BO3)2Tb3+ Green Emitting Phosphor for Solid State Lighting: Implication for Light Emitting Diode (LED) Panse, Vishal R; Rahate, Gaurav; Saregar, Antomi; Kaur, Manmeet; Dixit, Aparna
International Journal of Electronics and Communications Systems Vol. 1 No. 1 (2021): 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.v1i1.9334

Abstract

With the assist of  customized step wise combustion synthesis method Sr2Mg(BO3)2: Tb3+  phosphors were synthesize along with the luminescent proprieties, XRD, chromaticity coordinates with effect of emission intensity with related with the corresponding concentration were studied. The emission spectrum of Sr2Mg(BO3)2  :Tb3+ (x=0.2 to 2 mol percent) excited by 353 nm exhibits a strong green emission among peak location at 546 nm is recognized to F-F transitions of Tb3+ 5D4-7F5 ion. This study suggest that Sr2Mg(BO3)2: Tb3+ phosphor be a prominent material as a green constituent for phosphor- transformed W-LEDs  for SSL
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.
Dynamic Virtual Environment Synthesis: Leveraging Machine Learning for Real-Time 3D Object Integration in VR Spaces Pathak, Anshuman; Singh, Anmol Deep; Saregar, Antomi; Dixit, Aparna; Dewalkar, S. V.; Panse, V. R.
International Journal of Electronics and Communications Systems Vol. 5 No. 1 (2025): 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.v5i1.28137

Abstract

Existing VR environments relies on static asset libraries and predesigned scenarios, which limits personalization and fails to account for diverse user needs. This paper aims Dynamic Virtual Environment Synthesis (DVES), a new framework based on machine learning to generate and control a large library of 3D objects for real-time creation and context-aware adaptation. The research method categorizes the system design into five main components: data collection, preprocessing and annotation, machine learning model training, VR environment integration, and user interaction. DVES allows users to customize VR spaces through natural language, gestures, or biometric feedback, harnessing generative models for creating objects, reinforcement learning for adaptive environments, and neural rendering for adding realism, building foundation for the next-gen entertainment ecosystem. DVES improves gaming, training, therapy, and education by mediating static design and real-time systems. Unlike the existing conventional VR systems which depends on the static and prebuilt scenes, DVES continuously learns from user interactions, enabling the system to evolve dynamically. This novel study investigates scalability, real-time performance, and natural interfaces and provides insights into future applications, giving a custom VR experience to the users. In long term, DVES could serve as a foundation for fully autonomous VR ecosystems, creating a personalized and immersive digital experience. The study ensures transitioning VR from static, predesigned systems to self-sustaining, user-driven digital worlds.
Co-Authors Abdurrazzaq, Achmad Aghnyn, Mutiara Akbar, Rajabal Amarullah, M Ridhwan Antomi Saregar Ardian Asyhari Brahme, Nameeta Dewalkar, S. V. Dewalkar, Snehal V Hadap, Arti Hermana, Nabila Swarna Puspa Laela, Oktavia Mahmuddin Marbun Manmeet Kaur Michalska-Domańska, Marta Muhamad Syazali Panse, V. R. Panse, Vishal R Pathak, Anshuman Rachmawati, Rofah Nur Rahate, Gaurav Rahayu, Tiara Rofiqul Umam Saparun, Moh Saxena, Arti Singh, Anmol Deep Waghare, S. M. Yabansabra, Alexander