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Crop Growth Prediction Model Using TCN in Smart Greenhouse Environments
Christopher Ryu,Jongtae Lim,Hyuntae Lee,Seungwoo Cha,Jihyeon Choi,Hwanyong Choi,Sangjun Chung,Seoheui Lee,Hyunjung Hwang,Junhyuck Jang,Christopher RETITI DIOP EMANE,Yuna Kim,Kyoungsoo Bok,Jaesoo Yoo 한국콘텐츠학회 2022 한국콘텐츠학회 ICCC 논문집 Vol.2022 No.12
Integrated Databases for a Smart Greenhouse Intelligent Inference Platform
Christopher Ryu,Jongtae Lim,Sangjun Chung,Seoheui Lee,Hyunjung Hwang,RETITI DIOP EMANE Christopher,Junhyuck Jang,Nameyoung Kim,Yuna Kim,Dowoong Pyun,Youngho Oh,Dojin Choi,Kyoungsoo Bok,Jaesoo Yoo 한국콘텐츠학회 2021 한국콘텐츠학회 ICCC 논문집 Vol.2021 No.12
Ryu, Gyeong Hee,Park, Hyo Ju,Ryou, Junga,Park, Jinwoo,Lee, Jongyeong,Kim, Gwangwoo,Shin, Hyeon Suk,Bielawski, Christopher W,Ruoff, Rodney S,Hong, Suklyun,Lee, Zonghoon RSC Pub 2015 Nanoscale Vol.7 No.24
<P>The production of holes by electron beam irradiation in hexagonal boron nitride (hBN), which has a lattice similar to that of graphene, is monitored over time using atomic resolution transmission electron microscopy. The holes appear to be initiated by the formation of a vacancy of boron and grow in a manner that retains an overall triangular shape. The hole growth process involves the formation of single chains of B and N atoms and is accompanied by the ejection of atoms and bundles of atoms along the hole edges, as well as atom migration. These observations are compared to density functional theory calculations and molecular dynamics simulations.</P>
Ryu, Seungwan,Rump, Christopher M. The Korea Institute of Information and Commucation 2004 Journal of communications and networks Vol.6 No.2
Recently, many active queue management (AQM) algorithms have been proposed to address the performance degradation. of end-to-end congestion control under tail-drop (TD) queue management at Internet routers. However, these AQM algorithms show performance improvement only for limited network environments, and are insensitive to dynamically changing network situations. In this paper, we propose an adaptive queue management algorithm, called PID-controller, that uses proportional-integral-derivative (PID) feedback control to remedy these weak-Dalles of existing AQM proposals. The PID-controller is able to detect and control congestion adaptively and proactively to dynamically changing network environments using incipient as well as current congestion indications. A simulation study over a wide range of IP traffic conditions shows that PID-controller outperforms other AQM algorithms such as Random Early Detection (RED) [3] and Proportional-Integral (PI) controller [9] in terms of queue length dynamics, packet loss rates, and link utilization.
Publisher Correction: Direct imaging of the electron liquid at oxide interfaces
Song, Kyung,Ryu, Sangwoo,Lee, Hyungwoo,Paudel, Tula R.,Koch, Christoph T.,Park, Bumsu,Lee, Ja Kyung,Choi, Si-Young,Kim, Young-Min,Kim, Jong Chan,Jeong, Hu Young,Rzchowski, Mark S.,Tsymbal, Evgeny Y.,E Nature Publishing Group UK 2018 Nature nanotechnology Vol.13 No.7
In the version of this Letter originally published, in two instances in Fig. 1 the layers in the cross-sectional view of the (001) interface were incorrectly labelled: in Fig. 1b SrO<SUP>+</SUP> should have read SrO<SUP>0</SUP>; in Fig. 1c LaO<SUP>+</SUP>, AlO<SUB>2</SUB><SUP>–</SUP>, LaO<SUP>+</SUP>, TiO<SUB>2</SUB><SUP>0</SUP>, SrO<SUP>+</SUP>, TiO<SUB>2</SUB><SUP>0</SUP> should have read LaO<SUB>3</SUB><SUP>3–</SUP>, Al<SUP>3+</SUP>, LaO<SUB>3</SUB><SUP>3–</SUP>, Ti<SUP>4+</SUP>, SrO<SUB>3</SUB><SUP>4–</SUP>, Ti<SUP>4+</SUP>. In Fig. 3c the upper-right equation read –σ<SUB>s</SUB> = –e/2a<SUP>2</SUP> but should have read –σ<SUB>s</SUB> = e/2a<SUP>2</SUP> and in Fig. 3f the lower-right equation read –σ<SUB>s</SUB> = –e/2√3a<SUP>2</SUP> but should have read σ<SUB>s</SUB> = –e/2√3a<SUP>2</SUP>. These errors have now been corrected in the online version of the Letter.