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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Jo, Jungkook Sim, Keonhee Sim, Sangwoong Jun, Jaehoon Inha University Dept. of electrical and computer engineering and program in semiconductor convergence Incheon Korea Republic of Inha University Dept. of electrical engineering Incheon Korea Republic of

ISBN: (纸本)9798331510756

This paper proposes a novel spike generator for processing in memory (PIM) technology. Most of the electronics today utilize a von Neumann architecture. The von Neumann architecture suffers from the separation of memory and processor. This architecture delays data transfer between memory and processor. To overcome the issues, we utilize the spiking neural network (SNN) that combines memory and processor. SNN can be classified into voltage-based, current-based, and time-based architectures, each with its own pros and cons. Time-based SNN suffers from timing issues. To address the timing sensitivity of time-based neuron SNN, this paper proposes a PWM-based SNN. The PWM-based SNN utilizes pulse width-based logic to overcome timing sensitivity. © 2025 IEEE.

关键词： Pulse width modulation

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A Pulse Width Modulation-Based Spike Generator to Eliminate Timing Errors in Spiking Neural Networks

A Pulse Width Modulation-Based Spike Generator to Eliminate ...

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International Conference on Electronics, Information and Communications (ICEIC)

作者： Jungkook Jo Keonhee Sim Sangwoong Sim Jaehoon Jun dept. of electrical and computer engineering and program in semiconductor convergence Inha University Incheon Republic of Korea dept. of electrical engineering Inha University Incheon Republic of Korea

ISBN: (数字)9798331510756

ISBN: (纸本)9798331510763

关键词： Sensitivity Image edge detection Neurons Spiking neural networks Data transfer Generators Delays Logic Next generation networking Clocks

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A Case for Speculative Address Translation with Rapid Validation for GPUs 57

A Case for Speculative Address Translation with Rapid Valida...

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57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024

作者： Park, Junhyeok Kwon, Osang Lee, Yongho Kim, Seongwook Byeon, Gwangeun Yoon, Jihun Nair, Prashant J. Hong, Seokin Sungkyunkwan University Dept. of Electrical and Computer Engineering Korea Republic of Sungkyunkwan University Dept. of Semiconductor Convergence Engineering Korea Republic of University of British Columbia Dept. of Electrical and Computer Engineering Canada

ISBN: (纸本)9798350350579

A unified address space is vital for heterogeneous systems as it enables efficient data sharing between CPUs and GPUs. However, GPU address translation faces challenges due to high TLB pressure, particularly with irregular and memory-intensive applications. Compared to an ideal scenario, we observe that address translation overheads cause a slowdown of up to 34.5% in modern heterogeneous systems. This paper introduces Avatar, a novel framework to accelerate address translation in GPUs. Avatar comprises two key components: Contiguity-Aware Speculative Translation (CAST) and In-Cache Validation (CAVA) mechanisms. Avatar identifies the potential for predicting virtual-to-physical address mapping by monitoring contiguous pages that lie in both virtual and physical address spaces. Leveraging this insight, CAST speculatively translates virtual addresses into physical addresses. This speculative address translation enables immediate data fetching into GPUs while addressing translation occurs in the background, reducing TLB-miss overhead. Unfortunately, modern GPUs lack support for speculative execution, which limits CAST's performance gain. Data fetched from speculated physical addresses is unusable until validation. CAVA addresses this limitation by quickly validating speculated physical addresses. To this end, CAVA embeds page mapping information into each 32B sector of 128B cache lines. Thus, CAVA enables fetching a sector block from memory for a speculated address and rapidly validating the speculative translation using the embedded mapping information. Our experiments show that Avatar achieves a 90.3% (high) speculation accuracy and improves GPU performance by 37.2% (on average). © 2024 IEEE.

关键词： Virtual addresses

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Efficient Shortest-Path Tree Construction Based on Graph Convolutional Networks 18

Efficient Shortest-Path Tree Construction Based on Graph Con...

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18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Park, Jisang Kang, Sukmin Vo, Van-Vi Choo, Hyunseung Sungkyunkwan University Dept. of Semiconductor and Display Engineering Suwon Korea Republic of Sungkyunkwan University Dept. of Electrical and Computer Engineering Suwon Korea Republic of Convergence Research Institute Sungkyunkwan University Suwon Korea Republic of

ISBN: (纸本)9798350331011

In the rapidly evolving landscapes of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), the integration of deep learning techniques into routing structures is emerging as a significant advancement. WSNs and IoT systems are pivotal in real-time monitoring and control across various sectors, including environmental monitoring, industrial automation, healthcare, smart cities, and more. These networks rely heavily on efficient data collection and seamless data exchange, facilitated by interconnected nodes and diverse devices. Traditional heuristic-based routing protocols in these networks have focused on optimizing energy consumption, reducing latency, ensuring reliable communication, and maintaining scalability. However, their limited adaptability to dynamic network conditions presents a challenge. The incorporation of deep learning into routing structures offers a solution. By learning and adjusting autonomously in response to changing conditions, deep learning-based routing can dynamically optimize decision-making. This leads to enhanced adaptability, efficiency, and performance, particularly in complex network environments. We propose a paradigm shift from heuristic to deep learning-driven routing structures, emphasizing the potential for improved network management and operational longevity in WSNs and IoT ecosystems. © 2024 IEEE.

关键词： Wireless sensor networks

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A Case for Speculative Address Translation with Rapid Validation for GPUs

A Case for Speculative Address Translation with Rapid Valida...

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IEEE/ACM International Symposium on Microarchitecture (MICRO)

作者： Junhyeok Park Osang Kwon Yongho Lee Seongwook Kim Gwangeun Byeon Jihun Yoon Prashant J. Nair Seokin Hong Dept. of Electrical and Computer Engineering Sungkyunkwan University Dept. of Semiconductor Convergence Engineering Sungkyunkwan University Dept. of Electrical and Computer Engineering University of British Columbia

ISBN: (数字)9798350350579

ISBN: (纸本)9798350350586

关键词： Microarchitecture Accuracy Avatars Graphics processing units Performance gain Object recognition Monitoring Faces

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Development of a Real-Time Wireless Multi-Node Metal Pipeline Localization System via Bluetooth Link

Development of a Real-Time Wireless Multi-Node Metal Pipelin...

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2024 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Jiang, Bing Choi, Byungkeun Kuk, Gahee Park, Hangue Kim, Jeonghee Utah Tech University Dept. of Electrical and Computer Engineering St. GeorgeUT United States Hanyang University Dept. of Electronic Engineering Seoul Korea Republic of SungKyunKwan University Dept. of Biomedical Engineering Dept. of Intelligent Precision Healthcare Convergence Dept. of Meta Bio-health Suwon-si Korea Republic of Texas A & M University Dept. of Elect. and Comp. Engineering College StationTX United States Hanyang University Dept. of Biomedical Engineering Dept. of Artificial Intelligence Dept. of AI Semiconductor Seoul Korea Republic of

ISBN: (纸本)9798331530839

Several efforts have been approached to minimize the limitations and risks associated with current methods of locating underground pipelines in construction projects, especially during excavation operations. Traditional methods rely on flags to mark the general location of pipelines, which can be imprecise and lead to accidents. Excavation damage is a significant cause of pipeline failures, resulting in injuries, fatalities, and financial losses. To address these issues, we have been studied to accurately locate the underground ferromagnetic pipeline using magnetic anomaly detection approach using multi-dimensional magnetic sensor array using a smart external magnetic interference cancellation algorithm under the lab-based setting. To expand the successful approach in the actual construction setting, we proposed the development of a smart, real-time, wireless multi-node sensor system that uses magnetic anomaly detection algorithm on a custom smartphone app. This system aims to improve the accuracy of pipeline location detection during excavation, thereby reducing the potential for accidents and enhancing safety on construction sites. We have successfully designed and assembled the multi-node metal pipeline localization system via BLE. By attaching three modules on the excavator bucket, we were able to collect the sensor data using a custom-designed app and estimate the distance from the pipe. © 2024 IEEE.

关键词： construction collision magnetic anomaly detection multi-array magnetic sensors underground pipeline localization

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Development of the Low-Cost Lightweight Exoskeleton System that Enables Social Interaction Activities in Quadriplegic Patients

Development of the Low-Cost Lightweight Exoskeleton System t...

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2024 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2024

作者： Irava, Bernard A. Aichelmann, Kevin J. Jiang, Bing Cho, Hyunsang Park, Hangue Kim, Jeonghee Texas A & M University Dept. of Engineering Technology and Industrial Distribution College StationTX United States Utah Tech University Dept. of Electrical and Computer Engineering St. GeorgeUT United States Hanyang University Dept. of Electronic Engineeringz Seoul Korea Republic of SungKyunKwan University Dept. of Biomedical Engineering Dept. of Intelligent Precision Healthcare Convergence Dept. of Meta Bio-health Suwon-si Korea Republic of Texas A & M University College Station Dept. of Elect. and Comp. Engineering TX United States Hanyang University Dept. of Electronic Engineering Dept. of Biomedical Engineering Dept. of Artificial Intelligence Dept. of AI Semiconductor Seoul Korea Republic of

ISBN: (纸本)9798331530839

Improving the quality-of-life of quadriplegic patients is the most important feature for assistive technology. Despite the availability of advanced assistive technologies and robotic exoskeleton systems, their high cost, invasiveness, and usefulness can make them difficult to incorporate into daily activities. Our research group have developed a tracer-free Multifunctional intraORal Assistive technology (MORA) to enable various input modalities through tongue motions to access computers, wheelchairs, and smartphones. We now approach the development of a wearable robotic sleeve that uses the MORA system to allow a quadriplegic user to control their arm. Our design, the Kinematically Assistive Robotic Arm (KARA), focused on low-cost (less than $500), is an easy-to-mount exoskeleton device that can aid the user physically express within social interactions, thus ultimately benefiting their emotional and mental recovery as well as rehabilitation effects. In this study, we introduce our preliminary robotic exoskeleton system with electrical, mechanical, and software designs. We validated our system by performing four social interaction activities: thumbs up, point finger, raise hand, and hand shacking tasks, using the KARA system. As a results of this validation, the KARA system was able to perform all four tasks with a time deviation of 3.39% and a performance accuracy of 90%. This exoskeleton system can provide a tool to control their paralyzed limbs for social interaction activities with their intention. This system can be easily mounted on the wheelchair and ultimately applied to the tracer-free tongue-based assistive technology for the quadriplegic patients to improve the quality-of-life. © 2024 IEEE.

关键词： Assistive technology

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Analysis of Selective Emitter Formation Technology of n-TOPCon Solar Cell

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Transactions of the Korean Institute of electrical Engineers 2022年第1期71卷 114-120页

作者： Jeong, Sungjin Cha, Yewon Kim, Sungheon Kim, Hongrae Park, Somin Kim, Taeyong Park, Jinjoo Ju, Minkyu Yi, Junsin Dept. of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of Interdisciplinary Program in Photovoltaic System Engineering Sungkyunkwan University Korea Republic of Dept. of Energy Convergence Engineering Division of Energy & Optical Technology Convergence Cheongju University Korea Republic of College of Information and Communication Engineering Sungkyunkwan University Korea Republic of

The main efficiency limiting factors for homogeneous emitter solar cells are resistance loss through metal contact on the front side and recombination loss at the surface. Herein, a selective emitter technology is introduced to solve the above problem, and it is currently commercialized in the mainstream p-PERC (Passivated Emitter Rear Contact) solar cell. The selective emitter boosts efficiency by 0.3-0.4% when compared to a homogeneous emitter, and when applied to the n-TOPCon (Tunnel Oxide Passivated Contact) solar cell, high efficiency of 26% or higher may be predicted. The most widely utilized selective emitter technologies are laser and etch-back. The One-Step Technology, which is suited to the n-TOPCon solar cell process, a laser is suitable for mass manufacturing with high yield. Because selective emitters increase electrical characteristics, which impact cell efficiency, it is required to study and create a technology that is optimal for the n-TOPCon manufacturing process. © 2022 Korean Institute of electrical Engineers. All rights reserved.

关键词： Efficiency

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Efficient Shortest-Path Tree Construction Based on Graph Convolutional Networks

Efficient Shortest-Path Tree Construction Based on Graph Con...

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International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Jisang Park Sukmin Kang Van-Vi Vo Hyunseung Choo Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea Dept. of Semiconductor and Display Engineering Sungkyunkwan University Suwon South Korea Convergence Research Institute Sungkyunkwan University Suwon South Korea

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Analysis on Stock Market Volatility with Collective Human Behaviors in Online Message Board

Analysis on Stock Market Volatility with Collective Human Be...

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International Conference on computer and Information Technology (CIT)

作者： Yun Jung Lee Hwan Gue Cho Gyun Woo Creative Human Resource Development Program for IT Convergence Pusan National University Busan Korea Dept. of Electrical and Computer Engineering Pusan National University Busan Korea

ISBN: (纸本)9781479962402

The stock market is constantly changing and sometimes the stock prices unaccountably plummet and surge. So, the stock market is recognized as a complex system and the change on the stock prices is unpredictable. Recently, many researchers try to understand the stock market as the network between individual stocks and to discover a hint about the change of the stock prices from big data being created in real time from Internet. We focus on the correlation among the stock market and human interaction with the Internet especially stock message board. By analyzing changes in the article volumes for stocks, we find that the correlation strength of between the article volume and the stock price has relevance to the stock return. We propose a new method for recommending stock portfolio base on the result of our analysis. According to the simulated investment test, the returns of our portfolio is about 1.82% per month which is about 0.85% and 1.48% higher than that of the Markowitz's efficient portfolio and that of the KOSPI average respectively. This study presents that collective human behavior on Internet stock message board helps to better understand the stock market.

关键词： Stock markets Correlation Portfolios Companies Internet Mood Investment

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