Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Kyle Guan"'
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical RL, by leveraging a system dynamics model to generate synthetic data for policy training purpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac523c966ec919b55449bc33cddb491
https://hdl.handle.net/10356/159633
https://hdl.handle.net/10356/159633
Publikováno v:
ACM Multimedia
MLModelCI provides multimedia researchers and developers with a one-stop platform for efficient machine learning (ML) services. The system leverages DevOps techniques to optimize, test, and manage models. It also containerizes and deploys these optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6356bb2fd84c724ebd6abc6796ff140
https://hdl.handle.net/10356/152994
https://hdl.handle.net/10356/152994
Publikováno v:
Optics Communications. 408:31-41
Fiber-optic transmission systems provide large capacities over enormous distances but are vulnerable to simple eavesdropping attacks at the physical layer. We classify key-based and keyless encryption and physical layer security techniques and discus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b84844240531440fcca8c820dfca3ca1
https://doi.org/10.1016/j.optcom.2017.07.078
https://doi.org/10.1016/j.optcom.2017.07.078
Publikováno v:
IEEE Transactions on Multimedia. 18:807-819
Cloud-centric media network (CCMN) was previously proposed to provide cost-effective content distribution services for user-generated contents (UGCs) based on media cloud. CCMN service providers orchestrate cloud resources to deliver UGCs in a pay-pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04f6315cfef9bc56fdf7628edeaf02b5
https://doi.org/10.1109/tmm.2016.2537199
https://doi.org/10.1109/tmm.2016.2537199
Publikováno v:
ICME
Motivated by the prowess of deep learning (DL) based techniques in prediction, generalization, and representation learning, we develop a novel framework called DeepQoE to predict video quality of experience (QoE). The end-to-end framework first uses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f353a91c0b97ba398e8574f172c23e7
https://hdl.handle.net/10356/143270
https://hdl.handle.net/10356/143270
For decades, ASHRAE Standard 55 has been using the Fanger's predicted mean vote (PMV) model to evaluate the indoor thermal comfort satisfaction. However, this canonical model has drawbacks in both data inadequacy and lack of inputs from test subjects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9daf5ac818efa93c79382796951dc13
https://hdl.handle.net/10356/139362
https://hdl.handle.net/10356/139362
Publikováno v:
IEEE Transactions on Information Forensics and Security. 10:1325-1335
Space-division multiplexed (SDM) fiber optic transmission systems can not only increase system capacity, but also achieve physical-layer security against fiber tapping attacks. In this paper, we examine the information-theoretic security of optical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702b0f149db0b24dfa2ed736d78cf6b0
https://doi.org/10.1109/tifs.2015.2405897
https://doi.org/10.1109/tifs.2015.2405897
Data center (DC) plays an important role to support services, such as e-commerce and cloud computing. The resulting energy consumption from this growing market has drawn significant attention, and noticeably almost half of the energy cost is used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::061e20947c84fefd9186a21b46995059
http://arxiv.org/abs/1709.05077
http://arxiv.org/abs/1709.05077
Autor:
Kyle Guan
Publikováno v:
OFC
In this work, we evaluate the impact of distance-adaptive transmission and the locations of data centers (DCs) on the required bandwidth resources for serving DC-to-user and DC-to-DC cloud traffic.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d1364b3aa0f13630bfdbd8d1dbf823b
https://doi.org/10.1364/ofc.2017.w3d.3
https://doi.org/10.1364/ofc.2017.w3d.3
Autor:
Kyle Guan, Behnam Sedighi, Bipin Sankar Gopalakrishna Pillai, N. Prasanth Anthapadmanabhan, William Shieh, Rodney S. Tucker, Kerry Hinton
Publikováno v:
Journal of Lightwave Technology. 32:3093-3111
In this paper, we model and analyze the end-to-end energy consumption of 100-Gbps coherent long-haul transmission systems. In particular, we investigate the impact of forward error correction (FEC) on the end-to-end energy consumption. We compare the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1df5cc2c85aad68c963535d1010a596
https://doi.org/10.1109/jlt.2014.2331086
https://doi.org/10.1109/jlt.2014.2331086