Zobrazeno 1 - 10 of 451 pro vyhledávání: '"Kwee-Bo Sim"'
1
Akademický článek
Generation of CNN Architectures Using the Harmonic Search Algorithm and its Application to Classification of Damaged Sewer
Autor: Young-Woon Jeong, Kwee-Bo Sim, Seungmin Park, Jeill Oh, Woo June Choi
Publikováno v: IEEE Access, Vol 10, Pp 32150-32160 (2022)
When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and are used in various fields. The architecture of a CNN and v
Externí odkaz: https://doaj.org/article/f339a06eedb24b599480cfd4930fe895
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3
Akademický článek
Advanced Parameter-Setting-Free Harmony Search Algorithm
Autor: Yong-Woon Jeong, Seung-Min Park, Zong Woo Geem, Kwee-Bo Sim
Publikováno v: Applied Sciences, Vol 10, Iss 7, p 2586 (2020)
In this paper, we propose an advanced parameter-setting-free (PSF) scheme to solve the problem of setting the parameters for the harmony search (HS) algorithm. The use of the advanced PSF method solves the problems of the conventional PSF scheme that
Externí odkaz: https://doaj.org/article/e9daad37e80f4a318ed60f49022a486a
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7
Multi-tasking deep convolutional network architecture design for extracting nonverbal communicative information from a face
Autor: Heereen Shim, Kwang-Eun Ko, Inhoon Jang, Kwee-Bo Sim, Kyunghwan Cho
Publikováno v: Cognitive Systems Research. 52:658-667
Facial expressions convey not only emotions but also communicative information. Therefore, facial expressions should be analysed to understand communication. The objective of this study is to develop an automatic facial expression analysis system for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b902ebdb8a71833ff91a1eb62f3c090d
https://doi.org/10.1016/j.cogsys.2018.08.006
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8
User State Classification Based on Functional Brain Connectivity Using a Convolutional Neural Network
Autor: Kwee-Bo Sim, Hong Gi Yeom, Seung-Min Park
Publikováno v: Electronics
Volume 10
Issue 10
Electronics, Vol 10, Iss 1158, p 1158 (2021)
The brain–computer interface (BCI) is a promising technology where a user controls a robot or computer by thinking with no movement. There are several underlying principles to implement BCI, such as sensorimotor rhythms, P300, steady-state visually
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17845823ea617b0b9a2f7785ee7864c
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9
Akademický článek
Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI
Autor: Tae-Ju Lee, Seung-Min Park, Kwee-Bo Sim
Publikováno v: Journal of Applied Mathematics, Vol 2013 (2013)
This paper presents a heuristic method for electroencephalography (EEG) grouping and feature classification using harmony search (HS) for improving the accuracy of the brain-computer interface (BCI) system. EEG, a noninvasive BCI method, uses many el
Externí odkaz: https://doaj.org/article/9316572bdf79415fa092fa3e9081990e
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10
Akademický článek
Novel Intersection Type Recognition for Autonomous Vehicles Using a Multi-Layer Laser Scanner
Autor: Jhonghyun An, Baehoon Choi, Kwee-Bo Sim, Euntai Kim
Publikováno v: Sensors, Vol 16, Iss 7, p 1123 (2016)
There are several types of intersections such as merge-roads, diverge-roads, plus-shape intersections and two types of T-shape junctions in urban roads. When an autonomous vehicle encounters new intersections, it is crucial to recognize the types of
Externí odkaz: https://doaj.org/article/db39fbf2e41d4baca7105d951b24d52c
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