[SCIE]Modeling Incorporating the Severity-Reducing Long-term Immunity: Higher Viral Transmission Paradoxically Reduces Severe COVID-19 During Endemic Transition
김재경,노지윤,신의철,이효정,최보승,최선화,홍혁표 | Immune Network | 2022
[SCIE]Forecasting Hospital Visits Due to Influenza Based on Emergency Department Visits for Fever
박보영,손우식,최보율,홍성희 | International Journal of Environmental Research and Public Health | 2022
[비SCIE]Efficient Implementations of Rainbow and UOV using AVX2
Namhun Koo,심경아,이상엽 | IACR Transactions on Cryptographic Hardware and Embedded Systems | 2022
In this paper, we provide efficient implementations of Rainbow and UOV using the AVX2 instruction set. These efficient implementations include several optimizations for signing to accelerate solving linear systems and the Vinegar value substitution.
[비SCIE]IMPROVING GLOBAL SUPPLY CHAIN RISK IDENTIFICATION USING RCF
HYUNGJO KIM,JAEHO LEE,김민중,이세연,정명현 | Journal of the Korean Society for Industrial and Applied Mathematics | 2022
This paper contains an introduction to industrial problems, solutions, and results conducted with the Korea Association of Machinery Industry. The client company commissioned the problem of upgrading the method of identifying global supply risky items.
권오규,김성엽,박수용,신형기,최윤영 | 한국산업정보학회논문지 | 2022
원자력발전소의 중대사고 발생 시 신속하고 정확하게 사고 상황을 파악해야 하며, 이러한 사고진단 정보를 획득했을 때 적절한 사고관리 및 대응을 수행할 수 있다. 본 연구에서는 국가 원자력 재난관리 시스템인 AtomCARE (Computerized technical Advisory system for a Radiological Emergency)로 전송되는 주요 발전소 정보로부터 중대사고 상황을 진단하는데 있어 딥러닝 기술의 접목을 고려하였다.
[SCIE]Model-based Cross-correlation Search for Gravitational Waves from the Low-mass X-Ray Binary Scorpius X-1 in LIGO O3 Data
R. Abbott et al.,김환선,배영복,오상훈,오정근,정필종 | Astrophysical Journal Letters | 2022
We present the results of a model-based search for continuous gravitational waves from the low-mass X-ray binary Scorpius X-1 using LIGO detector data from the third observing run of Advanced LIGO and Advanced Virgo. This is a semicoherent search that uses details of the signal model to coherently combine data separated by less than a specified coherence time, which can be adjusted to balance sensitivity with computing cost.
[SCIE]From Policy to Prediction: Forecasting COVID-19 Dynamics Under Imperfect Vaccination
Hao Wang,Mark Lewis,Pouria Ramazi,Xiunan Wang,나경아 | Bulletin of Mathematical Biology | 2022
In this paper, we extend the method to the post-vaccination period, accordingly obtain a retrospective forecast of COVID-19 daily confirmed cases in the US, and identify the relative influence of the policies used as the predictor variables.
[SCIE]Narrowband Searches for Continuous and Long-duration Transient Gravitational Waves from Known Pulsars in the LIGO-Virgo Third Observing Run
R. Abbott et al.,김환선,배영복,손재주,오상훈,오정근,정필종 | Astrophysical Journal | 2022
Isolated neutron stars that are asymmetric with respect to their spin axis are possible sources of detectable continuous gravitational waves. This paper presents a fully coherent search for such signals from eighteen pulsars in data from LIGO and Virgo’s third observing run (O3).
[SCIE]Searches for Gravitational Waves from Known Pulsars at Two Harmonics in the Second and Third LIGO-Virgo Observing Runs
R. Abbott et al.,김환선,배영복,오상훈,오정근,정필종 | Astrophysical Journal | 2022
We present a targeted search for continuous gravitational waves (GWs) from 236 pulsars using data from the third observing run of LIGO and Virgo (O3) combined with data from the second observing run (O2).
[비SCIE]The Current Status and Future Prospects of KAGRA, the Large-Scale Cryogenic Gravitational Wave Telescope Built in the Kamioka Underground
H. Abe et al.,정필종 | Galaxies | 2022
In this observation, the sensitivity of KAGRA to GWs was inferior to that of other kilometer-scale detectors such as LIGO and Virgo. However, further upgrades to the detector are ongoing to reach the sensitivity for detecting GWs in the next observation run, which is scheduled for 2022. In this article, the current situation, sensitivity, and future perspectives are reviewed.