Article Per Year (5 Year)
p-Index From 2021 - 2026
3.51
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Teknologi dan Kejuruan Andalasian International Journal of Applied Science, Engineering, and Technology Engineering Science Letter Journal of Novel Engineering Science and Technology Journal of Engineering Researcher and Lecturer Innovation in Engineering
Tun, Hla Myo
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search
Journal : Journal of Novel Engineering Science and Technology

 1 
Analysis of Third-Generation Solar Cell Design with Physics of Semiconductor Tin Swe, Hsu Myat; Ei Khin, Ei; Soe, Khaing Thandar; Win, Lei Lei Yin; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 02 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i02.525

Abstract

The paper presents the Analysis of Generation Solar Cell Design with Physics of Semiconductor. The research problem in this study is how to design a high-performance solar cell with novel semiconductor compounds that are fabricated in the laboratory based on the physical parameters. The approach to solving the proposed research problem is based on experimental studies through theoretical research in recent works. The first one is to develop the effective structure for solar cell design and the other is to develop the energy band structure of III-V compound-based third-generation solar cell. The simulation analyses were carried out with the help of MATLAB language. There are many steps to designing high-performance semiconductor devices for real-world applications. The results confirm that the numerical analyses of these two developments could be supported to estimate the outcomes of experimental studies without using real equipment in the laboratory. 
Performance Optimization of Brain Tumor Detection and Classification Based MRI by Using Batch Normalization Algorithms in Deep Convolution Neural Network Tin, Thein Aung; Aye, Mya Mya; Khin, Ei Ei; Oo, Thandar; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.567

Abstract

Brain tumor is represented as an essential part of critical cancers around the world. These cells multiply and accumulate uncontrolled, forming a mass or lump that can interfere with normal brain function. Primer detection systems not only took too must time in analyzing and setting error, but also extended more datasets to become overfitting, more computation time, and lack accuracy. Supervised ML and traditional CNN are not convenient for estimating the vita feature engineering in larger datasets and they need to be modified using normalization techniques in deep convolutional Neural Networks (CNNs) architectures. The proposed of the research MRI image datasets were evaluated and combined with two popular benchmark data sets, Kaggle, and BRATS. This main objective is to reduce the computational cost avoid overfitting and underfitting and then improve the classification accuracy. In addition, this paper follows the concept of the CNN model and evaluates the modified DCNN with six normalization layers benefits acceptable results with batch normalization techniques and the average number of epochs in a limited time. In this regard, we exploited to extend inside the layer DCNN for the problem of brain tumor classification. This model achieved the best result for the enhanced dataset, with a training accuracy of 99.9%, 98.9% in validation accuracy, 0.0074 in training loss, and a validation loss of 0.0566 in validation loss.
Transparent Film Profiling and Analysis by White Light Scanning Interferometry Hlaing, Nway Nway; Win, Lei Lei Yin; Tun, Hla Myo; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.569

Abstract

This paper describes the use of white light scanning interferometry with a Super luminescent diode (SLD) for thin film surface measurement. The technique provides 3D top surface and thickness profiles of transparent films, as well as detailed properties of multilayer film stacks, including material optical properties. The setup involves splitting a laser beam with a beam splitter, generating interference signals detected by a photodetector, and then converting analog signals to digital using an A/D converter for further analysis with LabView and MATLAB software. In this paper, the theoretical analysis and simulation study of white light scanning interferometry for transparent film measurement is discussed. This approach offers a flexible tool for both engineering and structured surface measurements.
Implementation of the Process for Contamination in Electromyography (EMG) Signal by Using Noise Removal Techniques Oo, Nandar; Tun, Hla Myo; Pradhan, Devasis; Win, Lei Lei Yin; Aye, Mya Mya; Oo, Thandar
Journal of Novel Engineering Science and Technology Vol. 3 No. 03 (2024): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v3i03.627

Abstract

The paper describes the analysis of electromyography (EMG) signals using noise removal techniques. The problem in this study is to consider a noise removal technique for basic EMG signal processing by the Band Pass Filter method. A research approach to designing simulation codes for observing EMG signal modeling and noise removal techniques through mathematical methods from signals and systems concepts. The results confirm that it can provide high-performance target monitoring of the EMG signal in real-world applications.
Analysis of High-Performance Step-Down DC to DC Converter Design Based on Zero Voltage Switching with Pulse Width Modulation Technique for Electric Vehicles Nyo, Hnin Wint War; Tun, Hla Myo; Win, Lei Lei Yin; Win, Thanda; Khin, Ei Ei; Aye, Mya Mya; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 4 No. 01 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i01.775

Abstract

The paper mainly focuses on analyzing high-performance step-down DC to DC converter based on zero voltage switching with pulse width modulation technique for electric vehicles. In this paper, PI, fuzzy PI, and adaptive network-based fuzzy inference system (ANFIS)control methods are applied to the phase shift full-bridge (PSFB) zero voltage switching (ZVS) converter for auxiliary components in electric vehicles. The robust analysis of three control methods is compared by using the AC small-signal mathematical model. Traditional PI control uses specific mathematical equations with errors and derivatives. Fuzzy PI control utilizes fuzzy logic rules with linguistic variables such as high, medium, and low. ANFIS combines fuzzy logic and neural networks to capture both benefits. The three control designs' switching losses and load changes are analyzed and implemented with the MATLAB/SIMULINK Software platform. From the simulation results, traditional PI control works with 92% efficiency. Fuzzy PI control and ANFIS work with 93% efficiency at full load capacity.
Analysis on Wideband Channel Model for High Speed Wireless Communication Systems Mon, Myint Myint; Tun, Hla Myo; Win, Lei Lei Yin; Win, Thanda; Aye, Mya Mya; Soe, Khaing Thandar; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 4 No. 01 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i01.803

Abstract

The paper emphasizes on the analysis on wideband channel model for high speed wireless communication systems. The research problem in this study are based on the following concepts such as (i) Firstly, it is necessary to change to the appropriate physical devices that can support 5G system, (ii) It is required to design a channel that will adapt to the medium that will be convenient for the changed physical devices, and (iii) Mobile terminals that currently use 4G cannot be used in 5G system. The objectives in this study are - to analyze the existing channel model for mobile communication, to analyze the mathematical and dynamical model for wireless propagation channel, to implement the wireless propagation channel with specific purposes, to implement the optimized channel model performance, and to evaluate the performance of the developed channel design. The numerical analyses in this study are conducted by using MATLAB language. The research direction in this study are based on the channel system functions, and tapped delay-line models. The simulation results are confirmed that the 12 taps in this study for the high speed wireless communication system design.
Design and Implementation of an IoT-Based Solar Power Measurement System for Charging Stations of Electric Vehicles Ko, Mg Myo Ko; Mon, Ei; Htike, Than Than; Tun, Hla Myo
Journal of Novel Engineering Science and Technology Vol. 4 No. 02 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i02.806

Abstract

Because of its potential to improve monitoring and management skills, integrating Internet of Things (IoT) technology with renewable energy systems has attracted much interest recently. This study describes an experiment that uses an IoT-based solar power monitoring system to measure the output power of a solar panel in real-time. A 50-watt solar panel is used in this paper to demonstrate the design and execution of an Internet of Things-based solar power monitoring system. The use of the IoT can significantly improve solar energy surveillance by better monitoring solar panel performance. The system comprises a 50-watt solar panel, a microcontroller unit, various sensors for measuring power, voltage, current, and temperature, and a wireless communication module for transmitting data. The collected data is sent to a cloud-based platform, where it is processed and analyzed. The results indicate that the Internet of Things (IoT)- based solar power measuring system provides a scalable solution for broader applications in renewable energy management and improves the reliability and precision of power-producing data. Real-time solar power generation monitoring is the goal of the proposed system, which would allow for effective energy management and optimization.
Physical Characteristics Analysis on Intelligent Reflecting Surface for High Speed Telecommunication Networks Su Win, Naw Aye Myat Su; Tun, Hla Myo; Win, Lei Lei Yin; Win, Thanda; Aye, Mya Mya; Win, Khin Kyu Kyu; Soe, Khaing Thandar; Pradhan, Devasis
Journal of Novel Engineering Science and Technology Vol. 4 No. 02 (2025): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v4i02.804

Abstract

The paper mainly focuses on the physical characteristics analysis of an intelligent reflecting surface for high-speed telecommunication networks. The research problem in this study are (i) To overcome the bottleneck, a novel transmission scheme, named hybrid reflection modulation (HRM) must be considered, exploiting both active and passive reflecting elements at the RIS and their combinations, which enables to convey information without using any radio frequency (RF) chains, (ii) In the HRM scheme, the active reflecting elements using additional power amplifiers can be able to amplify and reflect the incoming signal, while the remaining passive elements can reflect the signals with appropriate phase shifts, (iii) Based on this novel transmission model, we will observe an upper bound for the average bit error probability (ABEP), and derive achievable rate of the system using an information theoretic approach, and (iv) Moreover, comprehensive computer simulations could be performed to prove the superiority of the proposed HRM scheme over existing fully passive, fully active and reflection modulation (RM) systems. The research directions are as follows: (i) Implementing the Intelligent Reflecting Surfaces (IRS) and Hybrid Reflection Modulation Technologies for 6G Wireless Communication, (ii) Implementing the Intelligent Reflecting Surfaces (IRS) and Hybrid Reflection Modulation Technologies with physical layer security techniques, and (iii) Modelling the mathematical equation for optimization design of IRS system. There are two portions in this study. The first is designing the signal model in the IRS surface with specific physical parameters. The second one is an analysis of the capacity of point-to-point MIMO channels.  The analyses are conducted using by MATLAB language. The results confirm the performance specification of the IRS system for high-speed telecommunication applications.
Co-Authors Aung, Chan Myae Aung, Myint Myat Aye, Mya Mya Aziz, Wildan Abdul Ei Khin, Ei Hlaing, Nway Nway Htike, Than Than Khin, Ei Ei Ko, Mg Myo Ko Man, Cing Nuam Mon, Ei Mon, Myint Myint Naing, Zaw Min Nyo, Hnin Wint War Oo, Nandar Oo, Thandar Pradhan, Devasis Putra, Randi Purnama Soe, Khaing Thandar Su Win, Naw Aye Myat Su Thar, Hla Aye Tin Swe, Hsu Myat Tin, Chau Trung Tin, Thein Aung Tun, Khin Cho Win, Khin Kyu Kyu Win, Lei Lei Yin Win, Soe Win, Thanda Wulansari, Rizky Ema Ya, Kyaw Zay Zar, Win Thu Zaw, Ko Ko