Taekyeong Kim

Quick dimensional inspection for continuous welding and assembly using machine learning-powered smart jig

Seobin Park, Taekyeong Kim, Kyeong Min Kim, Junyoung Seo et autres

In the mass production of metal-based products such as automobiles, continuous welding and assembly processes are essential. The final product is created through multiple stages of welding, and the cumulative misalignment at each stage can lead to excessive residual stresses or dimensional …

kr (code pays fourni par la source)

High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning

Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon et autres

Abstract Nickel‐rich layered oxides (LiNixCoyMnzO2, NCM) are among the most promising cathode materials for high‐energy lithium‐ion batteries, offering high specific capacity and output voltage at a relatively low cost. However, industrial‐scale co‐precipitation presents significant challenges, particularly in maintaining particle sphericity, ensuring a …

kr, jp (code pays fourni par la source)

Detection of incomplete atypical femoral fracture on anteroposterior radiographs via explainable artificial intelligence

Taekyeong Kim, Nam Hoon Moon, Tae Sik Goh, Im Doo Jung

One of the key aspects of the diagnosis and treatment of atypical femoral fractures is the early detection of incomplete fractures and the prevention of their progression to complete fractures. However, an incomplete atypical femoral fracture can be misdiagnosed as a normal …

kr (code pays fourni par la source)

Advanced thermal fluid leakage detection system with machine learning algorithm for pipe-in-pipe structure

Hayeol Kim, Jewhan Lee, Taekyeong Kim, Seong Jin Park et autres

Pipe-in-pipe (PIP) system is essential for high thermal and high pressure fluid transportation. However, in the existing PIP systems, fluid leakage between inner and outer pipe has been difficult to discover or detect, which has worked as bottle neck to utilize PIP …

kr (code pays fourni par la source)

Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures

Taekyeong Kim, Tae Sik Goh, Jung Sub Lee, Ji Hyun Lee et autres

kr (code pays fourni par la source)

Virtual surface morphology generation of Ti-6Al-4V directed energy deposition via conditional generative adversarial network

Taekyeong Kim, Jung Gi Kim, Sangeun Park, Hyoung Seop Kim et autres

The core challenge in directed energy deposition is to obtain high surface quality through process optimisation, which directly affects the mechanical properties of fabricated parts. However, for expensive materials like Ti-6Al-4V, the cost and time required to optimise process parameters can be …

kr, us (code pays fourni par la source)

Object Recognition and Tracking in Moving Videos for Maritime Autonomous Surface Ships

Hyunjin Park, Seung-Ho Ham, Taekyeong Kim, Donghyeok An

In autonomous driving technologies, a camera is necessary for establishing a path and detecting an object. Object recognition based on images from several cameras is required to detect impediments in autonomous ships. Furthermore, in order to avoid ship collisions, it is important …

kr (code pays fourni par la source)

Laser powder bed fusion for AI assisted digital metal components

Eunhyeok Seo, Hyokyung Sung, Hongryoung Jeon, Hayeol Kim et autres

This paper proposes a novel method to impart intelligence to metal parts using additive manufacturing. A sensor-embedded metal bracket is prototyped via a metal powder bed fusion process to recognise partial screw loosening or total screw missing or identify the source of …

kr, sg, us (code pays fourni par la source)

AI Augmented Digital Metal Component

Eunhyeok Seo, Hyokyung Sung, Hayeol Kim, Taekyeong Kim et autres

The aim of this work is to propose a new paradigm that imparts intelligence to metal parts with the fusion of metal additive manufacturing and artificial intelligence (AI). Our digital metal part classifies the status with real time data processing with convolutional …

Advanced Thermal Fluid Leakage Detection System with Machine Learning Algorithm for Pipe-in-Pipe Structure

Hayeol Kim, Jewhan Lee, Taekyeong Kim, Seong Jin Park et autres

kr (code pays fourni par la source)

Laser powder bed fusion for AI assisted digital metal components

Eunhyeok Seo, Hyokyung Sung, Hongryoung Jeon, Hayeol Kim et autres

This paper proposes a novel method to impart intelligence to metal parts using additive manufacturing. A sensor-embedded metal bracket is prototyped via a metal powder bed fusion process to recognise partial screw loosening or total screw missing or identify the source of …

Time-Sensitive Networking Technologies for Industrial Automation in Wireless Communication Systems

Yoohwa Kang, Sunwoo Lee, Songi Gwak, Taekyeong Kim et autres

The fourth industrial revolution is accelerating industrial automation. In industrial networks, manufacturing processes require hard real-time communication where the latency is less than 1ms. Time-sensitive networking (TSN) technology over Ethernet already supports deterministic delivery for real-time communication. However, TSN technologies over wireless …

kr (code pays fourni par la source)