|
|
|
|
|
Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim and Ana Stanescu
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyunmin Gwak, Yongho Jeong, Chanyeong Kim, Yonghak Lee, Seongmin Yang and Sunghwan Kim
The key to semi-supervised semantic segmentation is to assign the appropriate pseudo-label to the pixels of unlabeled images. Recently, various approaches to consistency-based training and the filtering of reliable pseudo-labels have shown remarkable res...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bongsik Park, Yeong-Tae Choi and Hyunmin Kim
The advancement in digital image analysis methods has led to the development of various techniques, i.e., quantification of ballast gravel abrasion. In this study, the recognition rate of gravel aggregates has been significantly increased by improving th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Akm Ashiquzzaman, Hyunmin Lee, Kwangki Kim, Hye-Young Kim, Jaehyung Park and Jinsul Kim
Current deep learning convolutional neural network (DCNN) -based hand gesture detectors with acute precision demand incredibly high-performance computing power. Although DCNN-based detectors are capable of accurate classification, the sheer computing pow...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jinsu Kim, Hyunmin Oh, Seokyoung Lee and Young-Seek Yoon
A one-dimensional model is developed to represent the ash-melting phenomenon, which was not considered in the previous one-dimensional (1-D) entrained-flow gasifier model. We include sensible heat of slag and the fusion heat of ash in the heat balance eq...
ver más
|
|
|
|
|
|