Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Su, X. (Xiang)"'
Autor:
Su, X. (Xiang)
Pervasive environments are physical spaces saturated with devices collecting data, controlling the environment, and interacting with users. These environments support human users in their everyday tasks so that the users can focus on their own tasks
Externí odkaz:
http://urn.fi/urn:isbn:9789526213354
Autor:
Huang, Y. (Yakun), Zhu, Y. (Yuanwei), Qiao, X. (Xiuquan), Su, X. (Xiang), Dustdar, S. (Schahram), Zhang, P. (Ping)
Publikováno v:
IEEE Communications Magazine. 60:82-88
Real-time holographic video communications enable immersive experiences for next-generation video services in the future metaverse era. However, high-fidelity holographic videos require high bandwidth and significant computation resources, which exce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17fc1f38d053afad159dc25838f7b741
https://doi.org/10.1109/mcom.001.220021
https://doi.org/10.1109/mcom.001.220021
Autor:
Cao, J. (Jacky), Lam, K.-Y. (Kit-Yung), Lee, L.-H. (Lik-Hang), Liu, X. (Xiaoli), Hui, P. (Pan), Su, X. (Xiang)
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and perform seamless trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2bbba6ee3807b88c8a418035d158502c
http://urn.fi/urn:nbn:fi-fe2023040535230
http://urn.fi/urn:nbn:fi-fe2023040535230
Publikováno v:
Proceedings of the 6th International Workshop on Embedded and Mobile Deep Learning.
Wearable devices have been widely utilized by the general public for tracking physical activities. Many complex machine learning models leverage wearable devices to address application problems, such as predicting pedestrian behaviors and health mana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38a6ffd2f9b39d51651657000e6fdd2d
https://doi.org/10.1145/3539491.3539592
https://doi.org/10.1145/3539491.3539592
Publikováno v:
2022 IEEE 38th International Conference on Data Engineering Workshops (ICDEW).
The future of smart cities has been significantly impacted by Internet of Things (IoT) and distributed intelligence, where a large scale of data are collected from massive amounts of heterogeneous devices and distributed intelligence brings storage,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d8115303d3b2c40ac308389778979f9
https://doi.org/10.1109/icdew55742.2022.00013
https://doi.org/10.1109/icdew55742.2022.00013
Autor:
Li, Y. (Yuhong), Su, X. (Xiang), Ding, A. Y. (Aaron Yi), Lindgren, A. (Anders), Liu, X. (Xiaoli), Prehofer, C. (Christian), Riekki, J. (Jukka), Rahmani, R. (Rahim), Tarkoma, S. (Sasu), Hui, P. (Pan)
The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::2989aae4674fd5a121cac1a2e619499b
http://urn.fi/urn:nbn:fi-fe2020100983549
http://urn.fi/urn:nbn:fi-fe2020100983549
Autor:
Li, Y. (Yuhong), Wang, B. (Bailin), Su, X. (Xiang), Riekki, J. (Jukka), Sun, C. (Chao), Wei, H. (Hanyu), Wang, H. (Hao), Han, L. (Lei)
The rapid increase of Internet of Things (IoT) applications and services has led to massive amounts of heterogeneous data. Hence, we need to re-think how IoT data influences the network. In this paper, we study the characteristics of IoT data traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::682e9552ae148ec21a1517bcf6968c93
http://urn.fi/urn:nbn:fi-fe2020110989691
http://urn.fi/urn:nbn:fi-fe2020110989691
Autor:
Su, X. (Xiang), Li, P. (Pingjiang), Flores, H. (Huber), Riekki, J. (Jukka), Liu, X. (Xiaoli), Li, Y. (Yuhong), Prehofer, C. (Christian)
Edge computing paradigm allows computation to be moved from the central high powered Cloud or data center to the edge of the network. This paradigm often enables more efficient data processing near its source and sends only the data and knowledge tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::cd00e13a1c11add36f12e597c4e5014c
http://urn.fi/urn:nbn:fi-fe2019082024788
http://urn.fi/urn:nbn:fi-fe2019082024788
Autor:
Su, X. (Xiang), Hyysalo, J. (Jarkko), Rautiainen, M. (Mika), Riekki, J. (Jukka), Sauvola, J. (Jaakko), Maarala, A. I. (Altti Ilari), Hirvonsalo, H. (Harri), Li, P. (Pingjiang), Honko, H. (Harri)
Health applications involve many data sources, individuals, and services that work against guarantees that an individual’s personal data will not be used without consent. The proposed privacy-centered architecture integrates data security and seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::d90590e85542bc03575d50f63f7c6d28
http://urn.fi/urn:nbn:fi-fe2016112930014
http://urn.fi/urn:nbn:fi-fe2016112930014