Search Results - "Kang, Minkoo"

Proactive Congestion Avoidance for Distributed Deep Learning by Kang, Minkoo, Yang, Gyeongsik, Yoo, Yeonho, Yoo, Chuck

“…This paper presents "Proactive Congestion Notification" (PCN), a congestion-avoidance technique for distributed deep learning (DDL). DDL is widely used to…”
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qCon: QoS-Aware Network Resource Management for Fog Computing by Hong, Cheol-Ho, Lee, Kyungwoon, Kang, Minkoo, Yoo, Chuck

“…Fog computing is a new computing paradigm that employs computation and network resources at the edge of a network to build small clouds, which perform as small…”
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Association Between Sickness Presenteeism and Depressive Symptoms by Occupation and Employment Type During the COVID-19 Pandemic by Kang, Minkoo, Lee, Won-Tae, Yun, Byungyoon, Yoon, Jin-Ha

“…Sickness presenteeism (SP) has gained attention in occupational health. This study aimed to analyze the relationship between SP and depressive symptoms by…”
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Frame Packing for Minimizing the Bandwidth Consumption of the FlexRay Static Segment by Kang, Minkoo, Park, Kiejin, Jeong, Myong-Kee

“…The FlexRay protocol has emerged as the de facto standard for automotive communication systems, and it offers the advantages of both the event-triggered and…”
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The Value of Design in Real Estate Asset Pricing by Rong, Helena, Yang, Juncheng, Kang, Minkoo, Chegut, Andrea

“…Does design contribute to real estate value? Practicing architects require evidence to justify both functional and aesthetic building needs within the…”
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Minimizing the bandwidth consumption of the FlexRay dynamic segment by Kang, Minkoo, Park, Kiejin, Choi, Jinyoung, Kong, Man-sik

“…To minimize bandwidth consumption in the dynamic segment of the FlexRay communication systems, a frame packing algorithm that allows the packing of signals…”
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A scheduling algorithm for reducing FlexRay message response time using empty minislots in dynamic segment by Kiejin Park, Minkoo Kang, Bongjun Kim

“…FlexRay communication protocol that is suggested to guarantee exact operation of in-vehicle subsystem such as x-by-wire application has emerged as de-facto…”
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Mixup Mask Adaptation: Bridging the gap between input saliency and representations via attention mechanism in feature mixup by Kang, Minsoo, Kang, Minkoo, Lee, Seong-Whan, Kim, Suhyun

“…The inherent complexity and extensive architecture of deep neural networks often lead to overfitting, compromising their ability to generalize to new, unseen…”
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PDO packing mechanism for minimizing CANopen network utilization by Minkoo Kang, Kiejin Park, Bongjun Kim

“…CANopen was developed in order to resolve the hardware dependency problem of the CAN-based application. Using a concept called profiling in CANopen, it is…”
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Accurate and Efficient Monitoring for Virtualized SDN in Clouds by Yang, Gyeongsik, Yoo, Yeonho, Kang, Minkoo, Jin, Heesang, Yoo, Chuck

“…This article presents V-Sight, a network monitoring framework for programmable virtual networks in clouds. Network virtualization based on software-defined…”
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Bandwidth Isolation Guarantee for SDN Virtual Networks by Yang, Gyeongsik, Yoo, Yeonho, Kang, Minkoo, Jin, Heesang, Yoo, Chuck

“…We introduce TeaVisor, which provides bandwidth isolation guarantee for software-defined networking (SDN)-based network virtualization (NV). SDN-NV provides…”
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Remaining useful life estimation using accelerated degradation test, a gamma process, and the arrhenius model for nuclear power plants by Kang, Minkoo, Lee, Sunjae, Kim, Jong Ho, Yoo, Chan Sei, Jang, Joongsoon, Negatu, Belachew Mekbibe, Park, Sangchul

“…Predictive maintenance can be performed in nuclear power plants to prevent the failure of their components and equipment. Estimating the remaining useful life…”
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Network Monitoring for SDN Virtual Networks by Yang, Gyeongsik, Jin, Heesang, Kang, Minkoo, Jun Moon, Gi, Yoo, Chuck

“…This paper proposes V-Sight, a network monitoring framework for software-defined networking (SDN)-based virtual networks. Network virtualization with SDN…”
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Lifetime estimation for optocouplers using accelerated degradation test by Kang, Minkoo, Lee, Sunjae, Park, Heedo, Jang, Joongsoon, Park, Sangchul, Kim, Jong‐Ho, Yoo, Chan‐Sei

“…Instrumentation and control systems significantly affect the safety and reliability of nuclear power plants. In this study, we analyze the cause of failure of…”
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Deep learning models for quality estimation of gas tungsten arc welding by Kang, Minkoo, Jin, Byeong-Ju, Park, Ki-Young, Park, Kiejin, Park, Sangchul

“…Gas tungsten arc (GTA) welding is characterized by the use of non-consumable electrodes and shielding gas for effective welding of various metals. Welding…”
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Determining Whether Low Protein Intake (<1.0 g/kg) Is a Risk Factor for Malnutrition in Patients with Cirrhosis by Park, Jin-Hwa, Kang, Minkoo, Jun, Dae-Won, Kim, Mimi, Kwak, Joo-Hee, Kang, Bo-kyeong

“…Background: The prevalence of malnutrition in patients with cirrhosis is considerably high. Body mass index (BMI) is a well-known risk factor for malnutrition,…”
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A static message scheduling algorithm for reducing FlexRay network utilization by Minkoo Kang, Kiejin Park, Bongjun Kim

“…Currently, in order to meet customer requirements about safety and convenience, many electronics and software are used in automobiles. Because high amount of…”
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Determining the Size of a Static Segment and Analyzing the Utilization of In-vehicle FlexRay Network by Minkoo Kang, Kiejin Park, Bongjun Kim

“…In order to meet customer needs (e.g. safety, convenience) in current automotive industry, lots of electronics and software are deployed into vehicles, and…”
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Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN by Kang, Minsoo, Kang, Minkoo, Kim, Suhyun

“…Proceedings of the AAAI Conference on Artificial Intelligence, 38(3), 2024, 2705-2713 Deep learning has made significant advances in computer vision,…”
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TensorExpress: In-Network Communication Scheduling for Distributed Deep Learning by Kang, Minkoo, Yang, Gyeongsik, Yoo, Yeonho, Yoo, Chuck

“…TensorExpress provides in-network communication scheduling for distributed deep learning (DDL). In cloud-based DDL, parameter communication over a network is a…”
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