Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Bharath Das"'
Autor:
Sankar Neelakantan, Rohan Samant, Jagadish Prasad, Bhavana Reddy, Prashanth Reddy, Bharath Das, Sanjaya Viswamitra, Dilip Mohan
Publikováno v:
Journal of Clinical Interventional Radiology ISVIR. :044-052
Neuroangiography (NA) is an integral investigation in the management of patients with neurovascular diseases. NA is basically used for diagnosis, but in many instances, it may be followed up with treatment in the same sitting. Indications for diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72ffb3c008698a5e8dc151353f3504f3
https://doi.org/10.1055/s-0039-1681979
https://doi.org/10.1055/s-0039-1681979
Autor:
Bharath Das, Roshan
Publikováno v:
Bharath Das, R 2021, ' Energy-efficient Stream Processing for a Smart Device Ecosystem ', PhD, Vrije Universiteit Amsterdam .
This thesis aims to help application developers to build energy-efficient context-aware applications. Smart devices such as smartphones and wearables are rapidly evolving with increased processing power and better networking technologies. Various con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::459b18cce21d746a106a3b3d2b4bb2f9
https://hdl.handle.net/1871.1/e8292794-b64b-4445-8e83-5fc05d5c678b
https://hdl.handle.net/1871.1/e8292794-b64b-4445-8e83-5fc05d5c678b
Publikováno v:
2019 IEEE International Conference on Big Data (Big Data): [Proceedings]
2019 IEEE International Conference on Big Data (Big Data)
Bharath Das, R, Makkes, M, Uta, A, Wang, L & Bal, H 2020, Aves: A Framework for Energy-efficient Stream Analytics across Low-power Devices . in 2019 IEEE International Conference on Big Data (Big Data) : [Proceedings] . IEEE Computer Society . < https://ieeexplore.ieee.org/document/9005607 >
2019 IEEE International Conference on Big Data (Big Data)
Bharath Das, R, Makkes, M, Uta, A, Wang, L & Bal, H 2020, Aves: A Framework for Energy-efficient Stream Analytics across Low-power Devices . in 2019 IEEE International Conference on Big Data (Big Data) : [Proceedings] . IEEE Computer Society . < https://ieeexplore.ieee.org/document/9005607 >
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35f3ed8388d2814f9fd8a5b8a5b3c0cc
https://research.vu.nl/en/publications/d8162f06-a06b-4f2a-9422-d5aa3d948be2
https://research.vu.nl/en/publications/d8162f06-a06b-4f2a-9422-d5aa3d948be2
Williams-Beuren syndrome is a multisystem genetic disorder associated with cardiovascular abnormalities, the most common of which is some variation of arterial stenosis. We describe a case of Williams-Beuren syndrome with multiple cardiovascular stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a8eb61ea156d32b35f5e0da38eba51
https://europepmc.org/articles/PMC7137628/
https://europepmc.org/articles/PMC7137628/
Publikováno v:
Bharath Das, R, Di Bernardo, G & Bal, H 2018, Large scale stream analytics using a resource-constrained edge . in Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services ., 8473389, Institute of Electrical and Electronics Engineers Inc., pp. 135-139, 2018 IEEE International Conference on Edge Computing, EDGE 2018, San Francisco, United States, 2/07/18 . https://doi.org/10.1109/EDGE.2018.00027
Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services, 135-139
STARTPAGE=135;ENDPAGE=139;TITLE=Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services
EDGE
Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services, 135-139
STARTPAGE=135;ENDPAGE=139;TITLE=Proceedings-2018 IEEE International Conference on Edge Computing, EDGE 2018-Part of the 2018 IEEE World Congress on Services
EDGE
A key challenge for smart city analytics is fast extraction, accumulation and processing of sensor data collected from a large number of IoT devices. Edge computing has enabled processing of simple analytics, such as aggregation, geographically close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2c71f24d9d54f81c996969948bb4e9
https://research.vu.nl/en/publications/69c8ba30-14c3-4764-8f94-c1f10186bd66
https://research.vu.nl/en/publications/69c8ba30-14c3-4764-8f94-c1f10186bd66
Autor:
Aart van Halteren, Nicolae Vladimir Bozdog, Roshan Bharath Das, Alexandru Uta, Marc X. Makkes, Henri E. Bal
Publikováno v:
Proceedings-15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, 1356-1363
STARTPAGE=1356;ENDPAGE=1363;TITLE=Proceedings-15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
Bozdog, N V, Makkes, M X, Uta, A, Bharath Das, R, Van Halteren, A & Bal, H 2018, SenseLE : Exploiting spatial locality in decentralized sensing environments . in Proceedings-15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 . Institute of Electrical and Electronics Engineers Inc., pp. 1356-1363, 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12/12/17 . https://doi.org/10.1109/ISPA/IUCC.2017.00206
ISPA/IUCC
STARTPAGE=1356;ENDPAGE=1363;TITLE=Proceedings-15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
Bozdog, N V, Makkes, M X, Uta, A, Bharath Das, R, Van Halteren, A & Bal, H 2018, SenseLE : Exploiting spatial locality in decentralized sensing environments . in Proceedings-15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 . Institute of Electrical and Electronics Engineers Inc., pp. 1356-1363, 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12/12/17 . https://doi.org/10.1109/ISPA/IUCC.2017.00206
ISPA/IUCC
Generally, smart devices, such as smartphones, smartwatches, or fitness trackers, communicate with each other indirectly, via cloud data centers. Sharing sensor data with a cloud data center as intermediary invokes transmission methods with high batt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1484abc6f94fd11903f002322aa8b127
https://doi.org/10.1109/ISPA/IUCC.2017.00206
https://doi.org/10.1109/ISPA/IUCC.2017.00206
Publikováno v:
Das, R B, Bozdog, N V, Makkes, M X & Bal, H 2017, Kea : A Computation Offloading System for Smartphone Sensor Data . in Proceedings-2017 IEEE 9th International Conference on Cloud Computing Technology and Science, CloudCom 2017 . Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, vol. 2017-December, IEEE Computer Society, pp. 9-16, 9th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2017, Hong Kong, Hong Kong, 11/12/17 . https://doi.org/10.1109/CloudCom.2017.33
Proceedings-2017 IEEE 9th International Conference on Cloud Computing Technology and Science, CloudCom 2017, 9-16
STARTPAGE=9;ENDPAGE=16;TITLE=Proceedings-2017 IEEE 9th International Conference on Cloud Computing Technology and Science, CloudCom 2017
CloudCom
Proceedings-2017 IEEE 9th International Conference on Cloud Computing Technology and Science, CloudCom 2017, 9-16
STARTPAGE=9;ENDPAGE=16;TITLE=Proceedings-2017 IEEE 9th International Conference on Cloud Computing Technology and Science, CloudCom 2017
CloudCom
Nowadays smartphones are equipped with many sensors which applications can continuously invoke to acquire real-time sensor information, such as GPS tracking. Due to the resource-constrained nature of the smartphones, it is often beneficial if the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b892f7a99fa84e0573f82b0c521599e7
https://doi.org/10.1109/CloudCom.2017.33
https://doi.org/10.1109/CloudCom.2017.33
Publikováno v:
ICFEC
Sensitive personal user-data collected by Internet-of-Things (IoT) devices is vulnerable to information leaks when uploaded to third-party cloud computing infrastructures. Even though data is encrypted before being sent, to perform analyses on the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9489ded40a6cf900984ac3438ec04773
https://doi.org/10.1109/icfec.2017.11
https://doi.org/10.1109/icfec.2017.11
Publikováno v:
MobileCloud
Combining sensors from smartphones and Internet of Things (IoT) (e.g., light, sound, UV radiation) enables a new kind of context aware applications in areas like smart cities or smart buildings. Such applications would require continuous evaluation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::656027d8b324eb8d68f8e55cdf313e63
https://doi.org/10.1109/mobilecloud.2017.14
https://doi.org/10.1109/mobilecloud.2017.14
Publikováno v:
Proceedings of the 11th International Conference on Body Area Networks.
Today, smart devices like mobile phones and fitness trackers have many sensors. Formatting, combining and querying sensor data from such devices can be a challenging and cumbersome task. In this paper we introduce SWAN-Lake, a distributed mobile fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a4321794a82f99b3c9ce32298939aed
https://doi.org/10.4108/eai.15-12-2016.2267797
https://doi.org/10.4108/eai.15-12-2016.2267797