Article Per Year (5 Year)
p-Index From 2020 - 2025
1.285
P-Index
This Author published in this journals
All Journal The Indonesian Journal of Computer Science
Tin Tin Hla
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Engineering

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

Found 8 Documents
Search

 1 
Electrical Characteristics of PN Junction Structure for GaAs, InP and InSb based III-V Compounds Tin Tin Hla; Kyawt Khin; Hnin Ngwe Yee Pwint
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4771

Abstract

The electrical properties of the pn junction structure for GaAs, InP and InSb based III-V compounds using the numerical equation are provided by a computer-aided simulation method. The band model predicts the electrical properties of III-V compound semiconductors. The analytical description of the immobile space charge layer (ISPL) related to immobile charge concentration, the amount of electric field intensity and the barrier potential height under unbiased, forward-biased and reverse-biased conditions has been investigated. And then the specific explanation of electron and hole distributions in the bulk region due to the majority carrier injection under forward biasing has been evaluated by using boundary conditions. The J-V characteristics of Group III-V compounds are observed using mathematical computation based on diffusion current density and recombination current density of the pn junction structure.
Performance Evaluation of Dual Active Bridge DC-DC Boost Converter Khin San Myint; May Su Hlaing; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4773

Abstract

This research presents a detailed performance analysis of a Dual Active Bridge (DAB) DC-DC converter, focusing on the impact of MOSFET on-resistance (Rds(on)) on converter efficiency and output characteristics. Using MATLAB simulink model, this work implements proportional-integral (PI) controllers for improved output current and voltage stability and pulse width modulation (PWM) for voltage regulation. To assess their impact on converter losses and overall performance, simulations are run using different MOSFET Rds(on) values. The results highlight the relationship between Rds(on) and efficiency, demonstrating how lower MOSFET on-resistance leads to lower losses and better converter performance. To measure the improvements, losses are computed, and the output voltage and current under various Rds(on) situations are displayed. This study offers insightful information for improving the performance and efficiency of power converters. Additionally, it compares the performance of PWM alone and PWM and PI together. The effect of frequency on the converter is then also explained.
Identification of characteristics for RC Low Pass, High Pass, Band Pass and Band Stop Filters Maung Aye; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4799

Abstract

In signal processing, filters are essential components used to modify the frequency content of signals, enabling the separation of desired components from unwanted noise or interference. Among the most commonly used filters in electronic systems are RC (Resistor-Capacitor) filters, which include low-pass, high-pass, band-pass, and band-stop filters. These filters are simple to implement and widely utilized for tasks such as noise reduction, signal shaping, and frequency selection. The performance of these filters varies significantly with desired frequency, and understanding these variations is crucial for their optimal application. The designed parameters and values are calculated and the gain magnitude and phase response and bode response is simulated with MATLAB.
Vision-based Obstacle Detection and Motor Speed Control for Autonomous Driving Systems Aye Nilar Win; Zin Mar Lwin; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4849

Abstract

Autonomous driving systems rely on robust perception and control mechanisms to navigate safely in dynamic environments. This study presents a vision-based approach for obstacle detection and motor speed control using MobileNet SSD object detection model. The system utilizes a camera module to capture real-time video frames, which are processed to detect and classify obstacles. Based on the detected objects' position and distance, an adaptive motor speed control algorithm adjusts the vehicle's velocity to ensure collision avoidance and smooth navigation. The implementation is tested on a Raspberry Pi-based platform with an integrated motor control system, utilizing PWM signals for speed regulation. MobileNet SSD offers a lightweight, faster alternative for real time inference. Experimental results demonstrate the system’s effectiveness in detecting obstacles and dynamically adjusting speed in response to environmental conditions. This approaches enhance autonomous vehicle safety and efficiency, making it suitable for real-world applications in self-driving technologies.
Drone Detection and Identification Using SDR: Analysis of DJI Mini 2 Drone ID Signals Thi Thi Khaine; May Su Hlaing; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4850

Abstract

The increasing adoption of Unmanned Aerial Vehicles (UAVs) for both commercial and recreational purposes has raised significant security and privacy concerns. DJI OcuSync 2.0, a proprietary communication protocol used in DJI drones, enables high-definition video transmission and telemetry over dual-frequency bands (2.4 GHz and 5.8 GHz). Detecting and identifying OcuSync signals in a crowded RF environment is crucial for effective drone monitoring and threat mitigation. This study presents an SDR-based detection system utilizing the USRP B210 with a 50 MHz sampling rate to capture OcuSync signals. Signal analysis is performed using Short-Time Fourier Transform (STFT) and Welch’s method for estimating Power Spectral Density (PSD). A Non-Parametric Amplitude Quantization Method (NPAQM) is implemented for dynamic threshold estimation to improve detection sensitivity. The system is tested under varying Signal-to-Noise Ratio (SNR) conditions, demonstrating high detection accuracy and robustness against interference. The proposed system provides a reliable framework for real-time OcuSync signal identification and can be adapted for broader UAV detection applications.
Development and Performance Analysis of a Human Detection Robot Using YOLOv8 and PWM-Based Speed Control Ni Ni Htay Lwin; Aye, Maung; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4896

Abstract

This paper presents the design and performance evaluation of a human detection robot using the YOLOv8 model and the COCO dataset for object recognition. The robot is equipped with a Pi camera, Raspberry Pi, four GM25 13CPR motors, an L298 motor driver, and a buck converter, ensuring efficient operation in real-time environments. The human detection accuracy was evaluated at different distances, achieving 99% at 2 feet, 98% at 15 feet, and 96% at 25 feet, demonstrating the effectiveness of the YOLOv8 model in varying conditions.The robot's movement is controlled using a PWM-based speed control technique, where the DC motors operate at different duty cycles. Experimental results show variations in speed accuracy, with error percentages of 7.6% at 20% duty cycle, 5.8% at 40%, 5.1% at 60%, 4.8% at 80%, and 3.8% at 100% duty cycle. These results indicate that higher duty cycles lead to improved speed accuracy, minimizing the deviation from the desired speed. The study highlights the integration of YOLOv8 for object detection and PWM for precise motor control, making the system suitable for applications in autonomous navigation, surveillance, and security.
Comparative Analysis of CMOS-based D-type Flip-Flop Architectures for High-Performance VLSI Applications Using 45-nm CMOS Technology May Htet Aung; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4004

Abstract

High performance VLSI (very large-scale integration) is an essential electronic technology required for space missions and scientific advancements. The only source of reliance for the VLSI designer is the data storage devices designated as flip-flops, which are widely used in semiconductor memory devices as well as for data processing and storage in the telecommunication fields. In this paper, the four D-type flip-flop architectures of CMOS-based D-type flip-flops, such as D-type flip-flops using traditional technology (DFF-T), D-type flip-flops with Demorgan’s law (DFF-DL), D-type flip-flops with transmission gates (DFF-TG), and D-type flip-flops with five transistors (DFF-F), have been designed and constructed. The analytical simulations of the schematics and equivalent layouts of these four architectures are implemented using 45-nm complementary metal-oxide-semiconductor (CMOS) technology. With cadence virtuoso design software, the performance investigation of the four D-type flip-flop architectures is compared in terms of layout area, transistor counts, average power consumption, rise time, fall time, and propagation delay. The DFF-F technologies have modestly compact design goals in order to reduce production costs and achieve faster processing speeds with fewer transistors.
Numerical Study on the Optical Properties of III-V Quaternary Compounds Aluminium Gallium Indium Phosphide Light Emitting Diode Aung, Htet Htet; May Su Hlaing; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3997

Abstract

The research works the quaternary compounds of AlGaInP (Aluminium Gallium Indium Phosphide) LEDs that provide luminescence intensity in high-brightness LEDs. AlGaInP LEDs, which are direct bandgap semiconductors with green color emission and a wavelength ranging from 500 to 565 nm, are important in electronics display and liquid crystal backlight applications. Depend on carrier concentration, the desired colors and luminescence intensity, the mole fraction of the quaternary compound is changed and also the bandgap energy. The paper contributions the carrier distribution of holes and electrons, the density of states, and the fermi-dirac distribution function calculated. Based on the carrier concentration, luminescence intensity versus photon energy has been determined. These simulation results are presented using MATLAB simulation with theoretical approach.
Co-Authors Aung, Htet Htet Aye Nilar Win Aye, Maung Hnin Ngwe Yee Pwint Khin San Myint Kyawt Khin Maung Aye May Htet Aung May Su Hlaing Ni Ni Htay Lwin Thi Thi Khaine Zin Mar Lwin