9 research outputs found
INT ๊ธฐ๋ฐ ๋คํธ์ํฌ ์ด์ ์ํ ํ์ง ๊ธฐ์ ์ฐ๊ตฌ
๋คํธ์ํฌ ์ด์ ์ํ ํ์ง๋ ๋คํธ์ํฌ ์์ ํ๋ก์ฐ์ ๋ํ ์ ๋ณด๋ฅผ ์์งํ์ฌ ๋คํธ์ํฌ์์ ๋ฐ์ํ๋ ์
์์ ์ธ ๊ณต๊ฒฉ์ ์ค์๊ฐ์ผ๋ก ํ์งํ๋ ๊ธฐ์ ์ด๋ค. ์ค์๊ฐ์ผ๋ก ํจํท ๋จ์์ ์ธ๋ถ์ ์ธ ๋คํธ์ํฌ ์ ๋ณด๋ฅผ ์ ๊ณตํ๋ INT (In-band Network Telemetry) ๊ธฐ์ ์ ์ด์ฉํ๋ฉด ๋คํธ์ํฌ ํ ๋จ์ ์ง์ฐ (hop latency)๊ณผ ํ ์ ์ ์จ (queue occupancy) ๋ฑ ๊ธฐ์กด ๋คํธ์ํฌ์์ ์ ๊ณตํ์ง ์๋, ๋ณด๋ค ์ธ๋ถ์ ์ธ ์ ๋ณด๋ฅผ ์ค์๊ฐ์ผ๋ก ์์ง ๊ฐ๋ฅํ์ฌ ๋คํธ์ํฌ ์ด์ ์ํ ํ์ง์ ํ์ฉํ ์ ์๋ค. ๋ณธ ๋
ผ๋ฌธ์์๋ INT๋ฅผ ์ด์ฉํ์ฌ ์ถ์ถํ ๋คํธ์ํฌ ์ํ ์ ๋ณด๋ฅผ ๋จธ์ ๋ฌ๋์ ์
๋ ฅ ํน์ง์ผ๋ก ์ฌ์ฉํ์ฌ ๋ ๋์ ์ฑ๋ฅ์ ๊ฐ์ง ์ด์ ์ํ ํ์ง ์์คํ
์ ๊ตฌํํ๋ ๋ฐฉ๋ฒ์ ์ ์ํ๊ณ ์ด๋ฅผ ์คํ์ ํตํด ๊ฒ์ฆํ๋ค.
Network anomaly detection is a technology that collects information about flows on a network and detects malicious attacks occurring in a network in real time. In-band Network Telemetry (INT) technology provides more detailed information in real time, that is not provided by existing networks, such as hop latency and queue occupancy. In this paper, we propose the method to implement an anomaly detection system with higher performance by using INT as an input feature of machine learning and verify it through experiments.22Nkc
๋คํธ์ํฌ ํ ๋ ๋ฉํธ๋ฆฌ๋ฅผ ํ์ฉํ ๋จธ์ ๋ฌ๋ ๊ธฐ๋ฐ ๋คํธ์ํฌ ์ด์ ํ์ง ๊ธฐ๋ฒ ์ฐ๊ตฌ
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โMultipoint force feedbackโ leveling of massively parallel tip arrays in scanning probe lithography
Nanoscale patterning with massively parallel 2D array tips is of significant interest in scanning probe lithography. A challenging task for tip-based large area nanolithography is maintaining parallel tip arrays at the same contact point with a sample substrate in order to pattern a uniform array. Here, polymer pen lithography is demonstrated with a novel leveling method to account for the magnitude and direction of the total applied force of tip arrays by a multipoint force sensing structure integrated into the tip holder. This high-precision approach results in a 0.001ยฐ slope of feature edge length variation over 1 cm wide tip arrays. The position sensitive leveling operates in a fully automated manner and is applicable to recently developed scanning probe lithography techniques of various kinds which can enable โdesktop nanofabrication.
Korea Seroprevalence Study of Monitoring of SARS-COV-2 Antibody Retention and Transmission (K-SEROSMART): findings from national representative sample
OBJECTIVES We estimated the population prevalence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including unreported infections, through a Korea Seroprevalence Study of Monitoring of SARS-CoV-2 Antibody Retention and Transmission (K-SEROSMART) in 258 communities throughout Korea. METHODS In August 2022, a survey was conducted among 10,000 household members aged 5 years and older, in households selected through two stage probability random sampling. During face-to-face household interviews, participants self-reported their health status, COVID-19 diagnosis and vaccination history, and general characteristics. Subsequently, participants visited a community health center or medical clinic for blood sampling. Blood samples were analyzed for the presence of antibodies to spike proteins (anti-S) and antibodies to nucleocapsid proteins (anti-N) SARS-CoV-2 proteins using an electrochemiluminescence immunoassay. To estimate the population prevalence, the PROC SURVEYMEANS statistical procedure was employed, with weighting to reflect demographic data from July 2022. RESULTS In total, 9,945 individuals from 5,041 households were surveyed across 258 communities, representing all basic local governments in Korea. The overall population-adjusted prevalence rates of anti-S and anti-N were 97.6% and 57.1%, respectively. Since the Korea Disease Control and Prevention Agency has reported a cumulative incidence of confirmed cases of 37.8% through July 31, 2022, the proportion of unreported infections among all COVID-19 infection was suggested to be 33.9%. CONCLUSIONS The K-SEROSMART represents the first nationwide, community-based seroepidemiologic survey of COVID-19, confirming that most individuals possess antibodies to SARS-CoV-2 and that a significant number of unreported cases existed. Furthermore, this study lays the foundation for a surveillance system to continuously monitor transmission at the community level and the response to COVID-19