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Estimation Algorithm of Vehicle Roll Angle and Control Strategy of Roll Mitigation Force Distribution (차량 롤 각 추정 알고리즘 및 롤 저감력 분배 제어 전략)

  • Chung, Seunghwan;Lee, Hyeongcheol
    • Transactions of the Korean Society of Automotive Engineers
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    • v.23 no.6
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    • pp.633-641
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    • 2015
  • The ROM (roll over mitigation) system is a next-generation suspension system that can improve vehicle-driving stability and ride comfort. Currently, mass-produced safety systems, such as ESC (electronic stability control) and ECS (electronic control suspension), enable measurements of longitudinal and lateral acceleration as well as yaw rate through inertial sensor clusters, but they lack direct measurements of the roll angle. Therefore, in this paper, a roll angle estimation algorithm from ESC system sensors and tire normal force has been proposed. Furthermore, this study presents a method for roll over mitigation force distribution between the front and rear of a ROM system. Performance and reliability of the roll angle estimation and roll over mitigation force distribution were investigated through simulations. The simulation results showed that the proposed control algorithm and strategy are reliable during vehicle rollovers.

The Information Worlds of Online Role-Players (온라인 롤 플레이어의 정보 세계)

  • Hollister, Jonathan M.
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.31 no.2
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    • pp.223-266
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    • 2020
  • Massively Multiplayer Online Role-Playing Games (MMORPGs) are played by millions of people around the world. Within MMORPGs, players explore, solve mysteries, craft items, battle against dungeon or raid bosses, or compete against other players, all while using a variety of information and information behaviors. Role-players in MMORPGs develop identities and engage in interactive storytelling with other role-players as their characters. An ethnographic approach combining overt participant observation and engagement, semi-structured interviews, and artifact collection was used to explore and describe the social information behaviors of role-players through the lens of the theory of information worlds. The social types evident in the role-playing community in WildStar, a science fantasy-themed MMORPG, are closely interrelated to and differentiated by social norms and information values that dictate acceptable characters, stories, character actions, and appropriate lore sources as well as how to role-play without violating the boundary between in- and out-of-character information worlds. Role-players maintained the in-character and out-of-character boundary using a set of specific information behaviors to enable engaging and immersive role-playing experiences. Implications of the findings for the theory of information worlds as well as potential applications of role-playing and MMORPGs are also discussed.

Comparison of CNN and GAN-based Deep Learning Models for Ground Roll Suppression (그라운드-롤 제거를 위한 CNN과 GAN 기반 딥러닝 모델 비교 분석)

  • Sangin Cho;Sukjoon Pyun
    • Geophysics and Geophysical Exploration
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    • v.26 no.2
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    • pp.37-51
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    • 2023
  • The ground roll is the most common coherent noise in land seismic data and has an amplitude much larger than the reflection event we usually want to obtain. Therefore, ground roll suppression is a crucial step in seismic data processing. Several techniques, such as f-k filtering and curvelet transform, have been developed to suppress the ground roll. However, the existing methods still require improvements in suppression performance and efficiency. Various studies on the suppression of ground roll in seismic data have recently been conducted using deep learning methods developed for image processing. In this paper, we introduce three models (DnCNN (De-noiseCNN), pix2pix, and CycleGAN), based on convolutional neural network (CNN) or conditional generative adversarial network (cGAN), for ground roll suppression and explain them in detail through numerical examples. Common shot gathers from the same field were divided into training and test datasets to compare the algorithms. We trained the models using the training data and evaluated their performances using the test data. When training these models with field data, ground roll removed data are required; therefore, the ground roll is suppressed by f-k filtering and used as the ground-truth data. To evaluate the performance of the deep learning models and compare the training results, we utilized quantitative indicators such as the correlation coefficient and structural similarity index measure (SSIM) based on the similarity to the ground-truth data. The DnCNN model exhibited the best performance, and we confirmed that other models could also be applied to suppress the ground roll.

Dynamics and Instability of a Polymeric Paint in Roll Coating Process for Automotive Pre-coating Application (자동차 선도장을 위한 롤코팅 공정에서 고분자 도료의 동적 거동 및 불안정성)

  • Kim, Jin-Ho;Lee, In-Jun;Noh, Seung-Man;Kang, Choong-Yeol;Nam, Joon-Hyun;Jung, Hyun-Wook;Park, Jong-Myung
    • Polymer(Korea)
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    • v.35 no.6
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    • pp.574-579
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    • 2011
  • 3-Roll coating process as a key application technology for manufacturing automotive pre-painted metal-sheets has been studied. The 3-Roll coating system for this study consists of pick-up roll for picking up and distributing coating liquid from the reservoir, metering roll to properly meter coating liquid in metering gap regime, and applicator roll for directly transferring liquid into metal-sheet surface. Flow dynamics and operable coating windows of a polymeric paint (primer) with shear-thinning rheological property have been correlated with processing parameters such as speed ratio and metering gap between pick-up and metering rolls. In the uniform coating regime, dry coating thickness increased with increasing metering gap or decreasing speed ratio. Ribbing and cascade instabilities were observed in low speed and high speed ratio conditions, respectively. It is revealed that lower speed ratio makes severity and wavelength of the ribbing increase, aggravating flow instability in coating systems.

Effect of Ground Roll Suppression Based on Karhunen-Loeve Transform (카루넨-루베 변환을 이용한 탄성파 그라운드 롤 억제 효과)

  • Jang, Seonghyung;Lee, Donghoon
    • Geophysics and Geophysical Exploration
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    • v.22 no.4
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    • pp.177-185
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    • 2019
  • Ground roll is a surface wave which is usually observed in the land seismic data. It is one of the typical coherent noise. During the reflection data processing, ground roll is removed because it is considered as noise. This removal process often causes the loss of reflection signals if the ground roll overlaps reflection signals. In this study, we look over Karhunen-Loeve Transform (KLT) and analyze its effects to suppress the ground roll appropriately while reducing the reflection loss. Numerical tests in homogeneous elastic media show that the ground roll has been properly rejected. However, the field data application reveals that there is no significant suppression of ground roll when compared to band-pass filtering. This can be considered that it is hard to calculate horizontally aligned gathers in the field data because the ground roll contains a wide range of frequency bands. On the contrary, the result of singular value decomposition (SVD) filtering shows that the ground roll has been significantly reduced. It is thought that the SVD filtering performs better in the ground roll suppression than KLT because it is easy to calculate the horizontally aligned gathers in the SVD filtering.