Zobrazeno 1 - 10
of 217 122
pro vyhledávání: '"Ryu A"'
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 11, Pp 410-420 (2024)
This paper presents a methodology for optimizing the short-term operation of electric vehicle (EV) charging and discharging while considering the potential curtailment of active power due to volt-var control (VVC) prioritizing reactive power output.
Externí odkaz:
https://doaj.org/article/06cbbdfdd20c445e955831d47fd8c0d6
Autor:
Ryu, Byungki, Oh, Seunghyun, Demeke, Wabi, Chung, Jaywan, Park, Jongho, Kumari, Nirma, Wani, Aadil Fayaz, Ryu, Seunghwa, Park, SuDong
We derive a thermoelectric inequality in thermoelectric conversion between the material figure of merit (ZT) and the module effective ZT using the Constant Seebeck-coefficient Approximation combining with the Wiedemann-Franz law. In a P-N leg-pair mo
Externí odkaz:
http://arxiv.org/abs/2411.01635
Publikováno v:
Patient Preference and Adherence, Vol Volume 15, Pp 2847-2854 (2021)
Moonkyoung Park, Baram Kang, Ahyun Ryu, YueLin Li, Rhayun Song College of Nursing, Chungnam National University, Daejeon, Republic of KoreaCorrespondence: Baram Kang Tel +1 512 839 7227Fax +82 42 580 8309Email baramkang612@utexas.eduPurpose: Smoking,
Externí odkaz:
https://doaj.org/article/d632c4864d934c269c5e29a7cb44b7a8
In deep learning, the recently introduced state space models utilize HiPPO (High-order Polynomial Projection Operators) memory units to approximate continuous-time trajectories of input functions using ordinary differential equations (ODEs), and thes
Externí odkaz:
http://arxiv.org/abs/2412.08595
With the growing demand to fit fine-grained user intents, faceted query-by-example (QBE), which retrieves similar documents conditioned on specific facets, has gained recent attention. However, prior approaches mainly depend on document-level compari
Externí odkaz:
http://arxiv.org/abs/2412.01443
Autor:
Dong, Hongjie, Ryu, Junhee
We study a class of degenerate parabolic and elliptic equations in divergence form in the upper half space $\{x_d>0\}$. The leading coefficients are of the form $x_d^2a_{ij}$, where $a_{ij}$ are measurable in $(t,x_d)$ except $a_{dd}$, which is measu
Externí odkaz:
http://arxiv.org/abs/2412.00779
Autor:
Ueno, Ryu
The tension field of the identity map from a statistical manifold to a Riemannian statistical manifold, which shares the same Riemannian metric, is the Tchevychev vector field multiplied by negative one. We derive a new class of statistical manifolds
Externí odkaz:
http://arxiv.org/abs/2411.14156
Efficient inference in large language models (LLMs) has become a critical focus as their scale and complexity grow. Traditional autoregressive decoding, while effective, suffers from computational inefficiencies due to its sequential token generation
Externí odkaz:
http://arxiv.org/abs/2411.13157
Recently, large language models (LLMs) have demonstrated remarkable performance in abstractive summarization tasks. However, controllable summarization with LLMs remains underexplored, limiting their ability to generate summaries that align with spec
Externí odkaz:
http://arxiv.org/abs/2411.12460
Autor:
Han, Cheongho, Udalski, Andrzej, Bond, Ian A., Lee, Chung-Uk, Gould, Andrew, Albrow, Michael D., Chung, Sun-Ju, Hwang, Kyu-Ha, Jung, Youn Kil, Ryu, Yoon-Hyun, Shvartzvald, Yossi, Shin, In-Gu, Yee, Jennifer C., Yang, Hongjing, Zang, Weicheng, Cha, Sang-Mok, Kim, Doeon, Kim, Dong-Jin, Kim, Seung-Lee, Lee, Dong-Joo, Lee, Yongseok, Park, Byeong-Gon, Pogge, Richard W., Mróz, Przemek, Szymański, Michał K., Skowron, Jan, Poleski, Radosław, Soszyński, Igor, Pietrukowicz, Paweł, Kozłowski, Szymon, Rybicki, Krzysztof A., Iwanek, Patryk, Ulaczyk, Krzysztof, Wrona, Marcin, Gromadzki, Mariusz, Mróz, Mateusz J., Abe, Fumio, Barry, Richard, Bennett, David P., Bhattacharya, Aparna, Fujii, Hirosame, Fukui, Akihiko, Hamada, Ryusei, Hirao, Yuki, Silva, Stela Ishitani, Itow, Yoshitaka, Kirikawa, Rintaro, Koshimoto, Naoki, Matsubara, Yutaka, Miyazaki, Shota, Muraki, Yasushi, Olmschenk, Greg, Ranc, Clément, Rattenbury, Nicholas J., Satoh, Yuki, Sumi, Takahiro, Suzuki, Daisuke, Tomoyoshi, Mio, Tristram, Paul J., Vandorou, Aikaterini, Yama, Hibiki, Yamashita, Kansuke
We carried out a project involving the systematic analysis of microlensing data from the Korea Microlensing Telescope Network survey. The aim of this project is to identify lensing events with complex anomaly features that are difficult to explain us
Externí odkaz:
http://arxiv.org/abs/2411.09096