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Jeong, Seongmin,Cho, Hyunmin,Han, Seonggeun,Won, Phillip,Lee, Habeom,Hong, Sukjoon,Yeo, Junyeob,Kwon, Jinhyeong,Ko, Seung Hwan American Chemical Society 2017 Nano letters Vol.17 No.7
<P>Air quality has become a major public health issue in Asia including China, Korea, and India. Particulate matters are the major concern in air quality. We present the first environmental application demonstration of Ag nanowire percolation network for a novel, electrical type transparent, reusable, and active PM2.5 air filter although the Ag nanowire percolation network has been studied as a very promising transparent conductor in optoelectronics. Compared with previous particulate matter air filter study using relatively weaker short-range intermolecular force in polar polymeric nanofiber, Ag nanowire percolation network filters use stronger long-range electrostatic force to capture PM2.5, and they are highly efficient (>99.99%), transparent, working on an active mode, low power consumption, antibacterial, and reusable after simple washing. The proposed new particulate matter filter can be applied for a highly efficient, reusable, active and energy efficient filter for wearable electronics application.</P> [FIG OMISSION]</BR>
Jeong, Seongmook,Ju, Seongmin,Kim, Youngwoong,Jeong, Hyejeong,Boo, Seongjae,Han, Won-Taek American Scientific Publishers 2016 Journal of Nanoscience and Nanotechnology Vol.16 No.6
<P>The germano-silicate optical fiber incorporated with Ge nanoparticles with enhanced optical nonlinearity was developed by using modified chemical vapor deposition and drawing processes. A broad photoluminescence band obtained by pumping with the 404 nm superluminescent diode was found to appear from 540 nm to 1,000 nm. The non-resonant nonlinear refractive index, n(2), of the fiber measured by the continuous wave self-phase modulation method was 4.95 x 10(-20) m(2)/W due to the incorporated Ge nanoparticles in the fiber core. The enhancement of the non-resonant optical nonlinearity may be due to the creation of the NBOs and other defects from the incorporated Ge-NPs in the fiber core.</P>
CD4+ cytotoxic T cells: an emerging effector arm of anti-tumor immunity
Seongmin Jeong,Nawon Jang,Minchae Kim,최일규 생화학분자생물학회 2023 BMB Reports Vol.56 No.3
While CD8+ cytotoxic T cells have long been considered theprimary effector in controlling tumors, the involvement of CD4+“helper” T cells in anti-tumor immunity has been underappreciated. The investigations of intra-tumoral T cells, fueled by therecent advances in genomic technologies, have led to a rethinkingof the indirect role of CD4+ T cells that have traditionallybeen described as a “helper”. Accumulating evidence frompreclinical and clinical studies indicates that CD4+ T cells canacquire intrinsic cytotoxic properties and directly kill varioustypes of tumor cells in a major histocompatibility complex class II(MHC-II)-dependent manner, as opposed to the indirect “helper”function, thus underscoring a potentially critical contributionof CD4+ cytotoxic T cells to immune responses against a widerange of tumor types. Here, we discuss the biological propertiesof anti-tumor CD4+ T cells with cytotoxic capability and highlightthe emerging observations suggesting their more significantrole in anti-tumor immunity than previously appreciated.
실시간 스트림 데이터 분석을 위한 시각화 가속 기술 및 시각적 분석 시스템
정성민(Seongmin Jeong),연한별(Hanbyul Yeon),정대교(Daekyo Jeong),유상봉(Sangbong Yoo),김석연(Seokyeon Kim),장윤(Yun Jang) 한국컴퓨터그래픽스학회 2016 컴퓨터그래픽스학회논문지 Vol.22 No.4
위험관리 시스템은 단 시간에 의사결정하기 위해 스트림 데이터를 실시간으로 분석 할 수 있어야 한다. 많은 데이터 분석 시스템은 CPU와 디스크 데이터베이스로 구성되어 있다. 하지만, cpu 기반 시스템은 스트림 데이터를 실시간으로 분석하는데 어려움이 있다. 스트림 데이터는 1ms부터 1시간, 1일까지 생성주기가 다양하다. 한 개의 센서가 생성하는 데이터는 작다. 하지만 수 만개의 센서가 생성하는 데이터는 매우 크다. 예를 들어 10만개 센서가 1초에 1GB 데이터를 생성한다면, CPU 기반 시스템은 이를 분석 할 수 없다. 이러한 이유로 실시간 스트림 데이터 분석 시스템은 빠른 처리 속도와 확장성이 필요하다. 본 논문에서는 GPU와 하이브리드 데이터베이스를 이용한 시각화 가속 기술을 제안한다. 제안한 기술을 평가하기 위해 우리는 지하 파이프라인에 설치된 센서와 트윗 데이터를 활용하여 실시간 릭 탐지 시각적 분석 시스템에 적용했다. Risk management system should be able to support a decision making within a short time to analyze stream data in real time. Many analytical systems consist of CPU computation and disk based database. However, it is more problematic when existing system analyzes stream data in real time. Stream data has various production periods from 1ms to 1 hour, 1day. One sensor generates small data but tens of thousands sensors generate huge amount of data. If hundreds of thousands sensors generate 1GB data per second, CPU based system cannot analyze the data in real time. For this reason, it requires fast processing speed and scalability for analyze stream data. In this paper, we present a fast visualization technique that consists of hybrid database and GPU computation. In order to evaluate our technique, we demonstrate a visual analytics system that analyzes pipeline leak using sensor and tweet data.
금속 나노 파티클의 레이저 플라즈모닉 어닐링을 통한 메탈메쉬 전극 형성과 이를 활용한 유연 터치 센서
정성민 ( Seongmin Jeong ),황윤식 ( Yun Sik Hwang ),우유미 ( Yu Mi Woo ),조용준 ( Yong Jun Cho ),김찬혁 ( Chan Hyeok Kim ),안민기 ( Min Gi An ),서호석 ( Ho Seok Seo ),양찬현 ( Chan Hyeon Yang ),박귀일 ( Kwi-il Park ),박정환 ( Jung 한국전기전자재료학회 2024 전기전자재료학회논문지 Vol.37 No.2
Laser-induced plasmonic sintering of metal nanoparticles (NPs) holds significant promise as a technology for producing flexible conducting electrodes. This method offers immediate, straightforward, and scalable manufacturing approaches, eliminating the need for expensive facilities and intricate processes. Nevertheless, the metal NPs come at a high cost due to the intricate synthesis procedures required to ensure long-term reliability in terms of chemical stability and the prevention of NP aggregation. Herein, we induced the self-generation of metal nanoparticles from Ag organometallic ink, and fabricated highly conductive electrodes on flexible substrates through laser-assisted plasmonic annealing. To demonstrate the practicality of the fabricated flexible electrode, it was configured in a mesh pattern, realizing multi-touchable flexible touch screen panel.