Zobrazeno 1 - 10
of 19 758
pro vyhledávání: '"Cho Young"'
Publikováno v:
Nuclear Technology and Radiation Protection, Vol 39, Iss 2, Pp 89-97 (2024)
Radiation hardness tests were conducted on a silicon detector and preamplifier to develop a reactor coolant leakage monitoring system, which detects high-energy beta particles from 16N in the primary reactor coolant of nuclear power plants. Monte
Externí odkaz:
https://doaj.org/article/44cd799a880242d49f1d6870e3d2cb59
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background This study aimed to investigated nutritional status and estimated the adequacy of dietary intake of university students during shipboard internships. Methods In this cross- sectional study, data were collected from 25 students out
Externí odkaz:
https://doaj.org/article/b106bc503ef34a4f92e3c30cfca9b6a2
Publikováno v:
Case Studies in Thermal Engineering, Vol 45, Iss , Pp 102891- (2023)
The present research investigates a case study on thermal design and improvement of hydrazine monopropellant pipelines based on actual cases, in order to highlight the critical factors for thermal design when developing an onboard propulsion system f
Externí odkaz:
https://doaj.org/article/709eca05cc13450096748dfaec9320ff
Autor:
Cho, Young-Min, Shu, Raphael, Das, Nilaksh, Alkhouli, Tamer, Lai, Yi-An, Cai, Jason, Sunkara, Monica, Zhang, Yi
This study investigates the efficacy of Multi-Agent Systems in eliciting cross-agent communication and enhancing collective intelligence through group decision-making in a decentralized setting. Unlike centralized mechanisms, where a fixed hierarchy
Externí odkaz:
http://arxiv.org/abs/2411.07161
Autor:
Cho, Young Hyun, Sun, Will Wei
With the growing demand for personalized assortment recommendations, concerns over data privacy have intensified, highlighting the urgent need for effective privacy-preserving strategies. This paper presents a novel framework for privacy-preserving d
Externí odkaz:
http://arxiv.org/abs/2410.22488
Autor:
Cho, Young Hyun, Awan, Jordan
Motivated by the 2020 US Census products, this paper extends differential privacy (DP) to address the joint release of DP outputs and nonprivate statistics, referred to as invariant. Our framework, Semi-DP, redefines adjacency by focusing on datasets
Externí odkaz:
http://arxiv.org/abs/2410.17468
Autor:
Cho, Young-ho, Zhu, Hao
Effective power flow (PF) modeling critically affects the solution accuracy and computation complexity of large-scale grid optimization problems. Especially for grid optimization with varying topologies for enhanced flexibility and resilience, a trac
Externí odkaz:
http://arxiv.org/abs/2409.13956
Autor:
Cho, Young Sul
Publikováno v:
Eur. Phys. J. B 97, 58 (2024)
The Achlioptas process, which suppresses the aggregation of large-sized clusters, can exhibit an explosive percolation (EP) where the order parameter emerges abruptly yet continuously in the thermodynamic limit. It is known that EP is accompanied by
Externí odkaz:
http://arxiv.org/abs/2408.08579
Autor:
Cho, Young Sul
When a link is occupied to restrict the growth of large clusters using the size information of a finite number of finite clusters, so-called local information, an abrupt but continuous transition is exhibited. We report here that a hybrid transition
Externí odkaz:
http://arxiv.org/abs/2408.08572
Reinforcement learning (RL) and model predictive control (MPC) each offer distinct advantages and limitations when applied to control problems in power and energy systems. Despite various studies on these methods, benchmarks remain lacking and the pr
Externí odkaz:
http://arxiv.org/abs/2407.15313