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A LITERATURE REVIEW ON THE INFLUENCE OF ATTACHMENT STYLES ON ACHIEVEMENT MOTIVATION AND THE BALANCE OF CHALLENGES AND THREATS AMONG JUNIOR WORKERS:
(GMIT, 2025) Iveeltbayar Ganbat; 1st Supervisor: Prof. Ph.D. Enkhzaya Chuluunbaatar; 2nd Supervisor: Prof. Ph.D. Sungchil Lee
DESIGN AND APPLICATION OF VISION-BASED ASSISTIVE ROBOTIC ARM FOR MATERIAL HANDLING IN INDUSTRIAL ENVIRONMENTS
(GMIT, 2025) MERGENBAATAR Mandalsaikhan; 1 st Supervisor: Ph.D. Young Suk Kim; 2 nd Supervisor: M.Eng. Myagmarjav Bold
This thesis presents the design, implementation, and evaluation of a vision-guided assistive robotic arm system developed entirely in simulation using CoppeliaSim. Aimed at material-handling tasks in industrial environments, the system leverages classical image processing techniques, specifically blob detection and inverse kinematics, to perform real-time object localization and adaptive grasping. The robotic arm, modeled with five degrees of freedom and a dynamically actuated gripper, is guided by a ceiling-mounted vision sensor. Using Lua scripting and simIK-based control, the robot autonomously detects a cylindrical object, computes its pose, and executes a pick-and-place operation. Mechanical improvements to the gripper and tip alignment corrections were introduced to enhance grasp reliability. The system’s kinematic accuracy was validated using MATLAB, applying the Product of Exponentials formulation and comparing predicted and simulated end-effector orientations. Experimental results in simulation demonstrated a 100% grasp success rate post-modification, sub-centimeter placement error, and minimal deviation in predicted Euler angles. The system’s modular architecture, use of open-source tools, and demonstrated performance highlight its potential for low-cost prototyping and educational applications. Recommendations for future work include integrating closed-loop feedback, expanding object diversity, and bridging the simulation-to-reality gap through physical prototyping.
Simulation and Optimization of Column Leaching Processes for Oxidized Zinc Ore
(GMIT, 2025) Munkhzul Bilegt; Supervisor 1 / M.Sc Baasandorj.M; Supervisor 2 / M.Sc Dorjsundui.G
FRAMEWORK FOR IMPLEMENTING UNMANNED HAULAGE TRUCK IN OPEN PIT MINE
(GMIT, 2025) DULGUUN Battulga; 1 st Supervisor: Prof. Ph.D. Sungchil Lee; 2 nd Supervisor: Prof. Ph.D. Young Suk Kim
The use of autonomous trucks can significantly enhance the operational efficiency, sustainability, and safety of both small and large open-pit mines. Automation protects workers from accidents and unhealthy environments while also improving their efficiency and productivity. Autonomous trucks offer many advantages over manually operated trucks, providing a more comfortable and safer working environment for workers and creating greater economic efficiency for companies in the long term. Although autonomous trucks travel at slightly slower speeds than Manual trucks, they are more productive because they eliminate the need for shift changes and lunch breaks. They also increase fuel efficiency by reducing idle time, saving approximately 0.06 liters of fuel per tonne hauled, and improving utilization rates by 10–13%. While these figures may not seem significant at first glance, they result in substantial savings over the long term.
However, implementing an automated system requires time, a large amount of capital cost, and potential challenges, such as worker concerns about job security, which must be carefully managed. For the successful deployment of autonomous dump trucks, several factors must be considered, with infrastructure and safety being the most critical. For example, mine roads should be designed without sharp turns or steep slopes, as the vehicle's sensor system may misinterpret sharp changes and cause accidents. Additionally, if a person or vehicle without a radio frequency identification RFID) tag enters the automated zone, there is a heightened risk of collision and serious accidents. Therefore, autonomous vehicle zones must strictly adhere to ISO road standards, and unauthorized persons and vehicles must be strictly prohibited from entering the automated sections of the mine. It also includes information on factors influencing fuel consumption in automotive performance, such as road gradient, adhesion and friction coefficients, wind resistance, and methods for calculating appropriate gear selection on slopes. Additionally, identifying the most relevant data for this type of research proved to be a significant challenge.
DESIGN OF LITHIUM BATTERY MANAGEMENT SYSTEM (BMS)
(GMIT, 2025) Jargal Gurbadam; 1 st Supervisor: Prof. Ph.D. Odbileg Norovrenchin; 2 nd Supervisor: M.A. Oyunbileg Shirendev
This thesis presents the design and prototyping of a low-cost Battery Management System (BMS) for lithium-ion cells using an Arduino Uno platform. The project focuses on implementing essential BMS functions, including voltage, current, and temperature monitoring, along with fault detection for overvoltage, undervoltage, overcurrent, and overtemperature conditions. Readings are acquired through affordable and widely available sensors and processed in real-time to flag unsafe operating states. A physical prototype was assembled on a breadboard using modular components such as voltage dividers, ACS712 current sensors, and DS18B20 temperature sensors. Charging was handled by a TP4056 module, and monitored parameters were displayed via the Serial Monitor. Additionally, a MATLAB-based thermal simulation was conducted to validate safe temperature behavior during operation. While full charge-discharge testing was not performed, the system logic and component integration were verified through controlled simulations and code-based validation. The results confirm that a simple, expandable BMS can be constructed using low-cost hardware and embedded software. This work lays the foundation for future improvements such as automatic cutoff, multi-cell support, and wireless monitoring.