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.
Labels

Capstone Design Project A (Fall, 2019)

Capstone Design Project A&B (Graduation Project)

Prof. Hyunsu Kim

In this project, DRAM and nonvolatile next-generation memory (NVRAM, LPM) to reduce the power consumption of memory (hereinafter HM: Hybrid Memory) and processor

Dynamically adjust the voltage to lower the power consumption of the processor (hereinafter DVFS: Dynamic VoltageFrequency Scaling) to maximize the power saving effect of the system.

We improved the proposed method compared to the control group according to utilization in single-core and multi-core environments

Also, we compared and analyzed its performance. In addition, each suboptimal algorithm such as the genetic algorithm and low power technology is used to further reduce power consumption by pre-determining the frequency/voltage and memory of the processor to be allocated to the task.





라벨:

Comments

Post a Comment