mov eax , cr0
or eax , 0x01
mov cr0 , eax



Thesis Papers

Implementation of Flexible System Call Interface System for Multi-platform Operating Systems

The 56th KIICE Fall Academic Conference, Excellent Student Paper Award

Author(s) : Ian Juha Cho

This study delves into developing a multi-platform operating system that can execute various programs from different operating systems. For an operating system to execute different-platformed programs, it must detect the program's platform and provide the kernel API corresponding with the program. From the myriads of APIs in operating systems, this study specifically focuses on providing a flexible system call interface system that can handle the different platforms' system call requests with the corresponding interface. An implementation of the interface system is presented and implemented in Linux Kernel Version 6.7.4. in C language. A brief test was conducted to determine whether the system correctly detects the difference in the platform and provides the proper dedicated interface. To simulate the difference in the platform of two programs, two ELF programs - a program with a modified file signature and a program without any modification - are tested to observe whether the provided system call interface differs from the file signature. The test result showed that the system can adequately recognize the platforms of different programs and provide the proper corresponding interfaces.

A Computer Vision and Vibrohaptic Glove-Based Piano Learning System for the Visually Impaired

Accepted Paper at The 27th International Conference of Advanced Communication Technology 2025

Author(s) : Ian Juha Cho,Jin Park,Hosung Bae

The visually impaired are unable to enjoy leisure activities as much as ordinary people due to various limitations. To expand the scope of leisure activities for the visually impaired, we have developed a vibration glove-based system that helps with piano learning. Previous research used 88 infrared light-emitting diodes and gloves with infrared receivers to provide feedback to the user, but this method had many limitations. In particular, the inconvenient user experience and low accuracy were the biggest problems. Our method solves both problems using a camera and an image processing algorithm. As a result of testing the model on 20 piano images, it was shown that all keys were perfectly recognized in 75% of cases, and the gloves could be comfortably used in practice without any difficulty. Thus, our method presents a simpler user experience for the visually impaired, without requiring any special modifications to the piano.