http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Kim, Hyo Jung,Park, Ji-Hwan,Kim, Jingil,Kim, Jung Ju,Hong, Sunghyun,Kim, Jeongsik,Kim, Jin Hee,Woo, Hye Ryun,Hyeon, Changbong,Lim, Pyung Ok,Nam, Hong Gil,Hwang, Daehee National Academy of Sciences 2018 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.115 No.21
<▼1><P><B>Significance</B></P><P>Leaf senescence is regulated in a complex manner, involving time-dependent interactions with developmental and environmental signals. Genetic screens have identified key regulators of senescence, particularly late-stage senescence regulators. Recently, time-course gene-expression and network analyses, mostly analyses of static networks, have predicted many senescence regulators. However, senescence is defined by time-evolving networks, involving the temporal transition of interactions among senescence regulators. Here, we present time-evolving networks of NAM/ATAF/CUC (NAC) transcription factors, central regulators of leaf senescence in <I>Arabidopsis</I>, via time-course gene-expression analysis of NACs in their mutants. These time-evolving networks revealed a unique regulatory module of NACs that controls the timely induction of senescence-promoting processes at a presenescent stage of leaf aging.</P></▼1><▼2><P>Senescence is controlled by time-evolving networks that describe the temporal transition of interactions among senescence regulators. Here, we present time-evolving networks for NAM/ATAF/CUC (NAC) transcription factors in <I>Arabidopsis</I> during leaf aging. The most evident characteristic of these time-dependent networks was a shift from positive to negative regulation among NACs at a presenescent stage. ANAC017, ANAC082, and ANAC090, referred to as a “NAC troika,” govern the positive-to-negative regulatory shift. Knockout of the NAC troika accelerated senescence and the induction of other <I>NAC</I>s, whereas overexpression of the NAC troika had the opposite effects. Transcriptome and molecular analyses revealed shared suppression of senescence-promoting processes by the NAC troika, including salicylic acid (SA) and reactive oxygen species (ROS) responses, but with predominant regulation of SA and ROS responses by ANAC090 and ANAC017, respectively. Our time-evolving networks provide a unique regulatory module of presenescent repressors that direct the timely induction of senescence-promoting processes at the presenescent stage of leaf aging.</P></▼2>
Performance Evaluation of Head Pose Estimation Methods for Digital Signage Systems
Sunghyun Nam,Gunhee Oh,Myoungho Jang,Heoncheol Lee 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
This paper addresses the problem of head pose estimation (HPE) for digital signage systems. Because the HPE which estimates the roll, pitch and yaw angles of human heads can extract not only the existence of human faces but also additional information, it is expected that the HPE can play an important role in digital signage systems. However, for the quality of the additional information, the HPE needs to be accurately conducted. This paper presents various performance evaluation results of the HPE methods which are non-deep learning-based and deep learning-based methods. The HPE methods in this work are implemented based on the existing open-sources. Their accuracy was evaluated with the public datasets by comparing the estimated angles and the true angles in the public datasets.
복도 환경에서 효율적 경로 계획을 위한 점진적 RRT 기법
남성현(Sunghyun Nam),김석영(Seokyoung Kim),이헌철(Heoncheol Lee) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
랜덤 샘플링(random sampling) 기법 중 하나인 RRT*(rapidly-exploring random tree star)는 많이 사용되고 있는 경로계획 알고리즘이다. RRT*는 샘플링 영역이 설정되고 난 후, 출발점에서 도착점까지의 최적 경로를 생성한다. 하지만 복도와 같은 좁은 통로 환경에서는 샘플링 영역의 크기에 따라 경로의 질이 달라지고 샘플링 영역의 크기가 큰 경우에는 불필요한 시간이 소모될 수 있다. 이 문제를 해결하기 위해 본 논문에서는 좁은 통로 환경에서 보다 효율적으로 경로를 생성할 수 있는 방법을 제안하고 그 성능을 기존 방법들과 비교하였다.
남성현(Nam, Sunghyun),김선회(Kim, Sun-Hoi) 한국음운론학회 2018 음성·음운·형태론 연구 Vol.24 No.1
Focusing on the phonological neighborhood defined by Turnbull and Peperkamp (2017: 83) as “two words are neighbors of each other if they differ by the deletion, addition or substitution of one and only one segment,” we analyzed the characteristics of phonological neighborhood networks (PNN) in English and Korean words in order to investigate the interrelation between words in these two languages. Here, a PNN is assumed to represent the mental lexicon. In the case of English, 33,329 high-frequency words were selected as target words from the Corpus of Contemporary American English (COCA) (Davies 2008), and in the case of Korean, 32,698 high-frequency words were selected as target words from SJ-RIKS (Kang and Kim 2009). Using R (R Core Team 2016) and Pajek (de Nooy et al. 2011), we formed the PNN matrices of both languages, and using these matrices, measured the key indicators of each language’s PNN, such as the number and size of sub-PNNs in each PNN, the proportion of the giant component size, average shortest path length, average clustering coefficient, and assortative mixing by degree (AMD). Through a quantitative analysis of these key indicators, it was shown that the network measurements reflect a language particularity between English and Korean, and at the same time the two PNNs shared the characteristics of a “small-world network” (Watts and Strogatz 1998) and a high value of AMD.