Greetings

I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working under the supervision of Prof. Khai Truong.

My research centers human-AI interaction, with an emphasis on accessibility and creativity support, particularly in enhancing "music accessibility" for d/Deaf and hard-of-hearing individuals. One of my main projects involves song signing to support culturally responsive content creation and encourage collaboration between d/Deaf and non-d/Deaf artists. Another aspect of my work focuses on enhancing people's well-being. I am engaged in projects that support individuals with dementia in their out-of-home experiences and encourage mindful eating behaviours among children.

I completed my B.Sci in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating System Lab). Additionally, I worked as a research intern at the Samsung AI Centre Toronto under the guidance of Dr. Iqbal Mohomed, and at NAVER AI (HCI group) with Dr. Young-Ho Kim.

Computer Network: Parking Master - Real-time Parking Manager for Urban Drivers (Fall, 2019)


Computer Network
Prof. Sookyoung Lee

 Real-time parking manager for city drivers

Class: Computer Network
Class Number: 20495-02
Date: Fall 2019
Professor: Sookyoung Lee
Main Idea: Design network protocols that can increase network resource utilization and improve service to users.
Methods: Pseudo Coded
Results: 

Smart navigation (Bluetooth for beacons, Internet for server communication)

Technology-equipped in-vehicle terminal) and smartphone

Provides real-time parking status, recommends parking locations, guides parking locations

Elapsed parking time and estimated fee information provision system


 

<Parking Master: Real-time Parking Manager for Urban Drivers>



스마트 네비게이션: 비콘과의 통신을 위한 


블루투스, Fog server와의 통신을 위한 


인터넷 기술을 탑재




시 별 주차장 관리: Cloud 서버


주차장 별 주차 정보 관리: Fog 서버



주차장 내 실시간 위치 정보 제공: 비콘

 

 

 

 

<Core function>


Provides real-time parking status information (remaining seats) 

 recommends parking available parking around the destination of the cloud server



(Based on distance and remaining seats)


class Fog:

 

manage_car_info() {

if(get msg.flag==0100){

add beacon_passed_table[App.c_ID, passed_beacon]

 

 

if(msg.beacon_ID == 123.111)

add parking_info_table[App.c_ID,get_in_time, park_zone = null, personal_info, car_current_location]

add car_order_list[App.c_ID]

 

else if(msg.beacon_ID == 123.222)

   delete parking_info_table [App.c_ID]

update N_floor_info[park_zone, empty]

 

else if(123.333 <= msg.beacon_ID < 123.444)

   update parking_info_table[App.c_ID,car_current_location]

 

else if(msg.beacon_ID > 123.444){

update parking_info_table [App.c_ID, car_current_location]

}

else if(get msg about 주차 완료){

       update  parking_info_table[App.c_ID, park_zone, if_parking=True]

update N_floor_info[park_zone, full]

}

}

}



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