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신경회로망과 Classifier를 이용한 부분방전패턴의 인식
李峻昊,李鎭雨 湖西大學校工業技術硏究所 1999 工業技術硏究所論文集 Vol.18 No.-
In this work, two approaches were proposed for the recognition of partial discharge patterns. The first approach was neural network with backpropagation algorithm, and the second approach was angle calculation between two operator vectors. PD signals were detected using three electrode system: IEC(b), needle-plane and CIGRE method Ⅱ electrode system. Both of neural network and angle comparison method showed good recognition performance for the pattern similar to the trained patterns. And the number of operators to be used had a great influence on the recognition performance to the untrained patterns.
수중에서 Sagnac 광섬유간섭계를 이용한 초음파신호의 검출과 분석에 관한 고찰
이진우,이준호 湖西大學校 工業技術硏究所 2002 工業技術硏究所論文集 Vol.21 No.-
The optical fiber sensor is a subject which has been attracted considerable attention in recent year. Especially, it is being developed for the detection and location of partial discharge in oil-filled transformers. In this paper, we propose and experimentally demonstrate directivity and sensitivity of a hollow cylindrical mandrel sensor. The sound source is a PZT actuator of hollow cylinder type. Several layers of the fiber laminated around the mandrel surface and experiments were performed on three axis modes. The experimental results can be applied to analyze detected signals optimally.
이준호,이진우 湖西大學校 工業技術硏究所 2002 工業技術硏究所論文集 Vol.21 No.-
This paper introduces a fluorescent lamp model based on gas discharge phenomena. The fluorescent lamp discharge has been successfully modeled by employing the radial variation of particle density and considering driving circuit effects on the characteristics of discharge process. The electron energy distribution is assumed to have a Maxwellian. The electron mobility and the ambipolar diffusion coefficients are considered to vary with an electron energy rather than a simple uniform value. Energy states of mercury atom in the discharge process are regarded as six levels rather than simple 4 or 5 levels. These discharge processes have been accurately solved by numerically employing mixed the FDM and the 2nd Runge-Kutta method. We applied this model to analyzing real high frequency circuit. Simulation and experimental results were presented to verify the feasibility of the modeling. Simulation and experimental results were presented to verify the feasibility of the modeling.
Lee, Hyeonjeong,Oh, Yumin,Jeon, Young-Jun,Lee, Song-Yi,Kim, Hyunjoo,Lee, Ho-June,Jung, Yong-Keun American Association for Cancer Research 2019 Cancer Research Vol.79 No.11
<P>This study reports that a novel posttranslational modification by O-GlcNAcylation of TRAIL-R1 (DR4) plays a crucial role in enabling both apoptotic and necroptotic cell death induction by TRAIL.</P><P><B></B></P><P>TNF-related apoptosis-inducing ligand (TRAIL) resistance, including nongenetically acquired tolerance in cancer persister cells, is a major obstacle to translating TRAIL therapy into patients with cancer. However, the underlying mechanisms remain to be elucidated. Here, we show that DR4/TRAIL-R1 is <I>O</I>-GlcNAcylated at Ser424 in its death domain to mediate both apoptosis and necrosis upon TRAIL ligation. We found that DR4–Ser424 mutations, identified from our cell-based functional screen using a cancer patient–derived cDNA expression library and from The Cancer Genome Atlas, caused TRAIL resistance in various human cancer cell lines. Using <I>O</I>-GlcNAc transferase knockdown cells, DR4-preferred versus DR5-preferred cancer cells, and a DR5-neutralizing antibody, we evaluated the essential role of DR4-specific <I>O</I>-GlcNAc modification in TRAIL cytotoxicity. In contrast to DR4, DR5 was not <I>O</I>-GlcNAcylated by TRAIL treatment, discriminating DR4 from DR5-mediated signaling. Apart from genetic changes in DR4-Ser424, we further classified various cancer cell lines originated from stomach, colon, lung, and glioblastoma according to their sensitivity to and receptor preference upon TRAIL death signaling and generated TRAIL-tolerant persister-derived DLD-1<SUP>PER</SUP> cells. Among these, we discovered that DR4 was not modified by <I>O</I>-GlcNAc in most of the TRAIL-resistant cancer cells and DLD-1<SUP>PER</SUP> cells. Interestingly, promoting DR4 <I>O</I>-GlcNAcylation intentionally using 2-deoxy-<SMALL>D</SMALL>-glucose or a high concentration of glucose sensitized those resistant cancer cells to TRAIL. The <I>O</I>-GlcNAcylation–defective DR4 failed to form DISC/necrosome and could not translocate to aggregated platforms for receptor clustering. Our findings demonstrate that DR4 <I>O</I>-GlcNAcylation is crucial for TRAIL death signaling, providing new opportunities for TRAIL therapy overcoming TRAIL resistance in cancers.</P><P><B>Significance:</B></P><P>This study reports that a novel posttranslational modification by <I>O</I>-GlcNAcylation of one of the two human TRAIL receptors with a death domain, TRAIL-R1 (DR4), plays a crucial role in enabling both apoptotic and necroptotic cell death induction by TRAIL.</P>
June-Yi Lee,J. Marotzke,G. Bala,L. Cao,S. Corti,J. P. Dunne,F. Engelbrecht,E. Fischer,J. C. Fyfe,C. Jones,A. Maycock,J. Mutemi,O. Ndiaye,S. Panickal,T. Zhou,Maycock,J. Mutemi,O. Ndiaye,S. Panickal,T. 한국기상학회 2021 한국기상학회 학술대회 논문집 Vol.2021 No.10
The chapter 4 of Working Group I contribution to the IPCC Sixth Assessment Report assesses simulations of future global climate change, spanning time horizons from the near term (2021-2040),mid-term (2041-2060), and long term (2081-2100) out to the year 2300. The chapter assesses physical indicators of global climate change, such as global surface air temperature, global land precipitation, Arctic sea-ice area and global mean sea level. Furthermore, the chapter covers indices and patterns of properties and circulation not only for mean fields but also for modes of variability that have global significance. Changes are assessed relative to both the recent past (1995-2014) and the 1850-1900 approximation to the pre-industrial period. The projections assessed in the chapter are mainly based on a new range of scenarios, the Shared Socio-economic Pathways (SSPs) used in the Coupled Model Intercomparison Project Phase 6 (CMIP6). Additional lines of evidence enter the assessment, especially for change in globally averaged surface air temperature and global mean sea level, while assessment for changes in other quantities is mainly based on CMIP6 results. After section 4.2 on the methodologies used in the assessment, Section 4.3 assesses projected changes inkey global climate indicators throughout the 21<SUP>st</SUP> century. Section4.4. covers near-term climate change and Section 4.5 assesses mid-term andlong-term climate change. Section 4.6 addresses the climate implications of climate policies including patterns of climate change expected for various global warming levels, climate goals, overshoot, and path-dependence, as well as the climate response the climate response to mitigation, Carbon Dioxide Removal, and Solar Radiation Modification. Section 4.7 assesses very long-term changes up to 2300 and climate-change commitment and the potential for irreversibility and abrupt climate change. The chapter concludes with Section4.8 on the potential for low-probability-high-impact changes.