Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shouli Zhang"'
Publikováno v:
IEEE Access, Vol 12, Pp 51556-51569 (2024)
Abnormality detection of power generation equipment is of great significance in enhancing equipment reliability. In the era of Industry 4.0, with the rapid development and extensive application of IoT and sensor technology, large-scale sensing device
Externí odkaz:
https://doaj.org/article/b62c41ada5604c1cb2b82a50d8c519ef
Publikováno v:
Digital Communications and Networks, Vol 8, Iss 6, Pp 1014-1026 (2022)
The integration of cloud and IoT edge devices is of significance in reducing the latency of IoT stream data processing by moving services closer to the edge-end. In this connection, a key issue is to determine when and where services should be deploy
Externí odkaz:
https://doaj.org/article/b0630b0ec3764d29a0f43450903338a8
Autor:
Shengyan Wang, Jie Ma, Huiping Qiu, Shizhen Liu, Shouli Zhang, Huihui Liu, Peili Zhang, Ri-li Ge, Guojie Li, Sen Cui
Publikováno v:
Blood Cells, Molecules, and Diseases. 98:102707
High-altitude polycythemia (HAPC) is a chronic mountain sickness characterized by multiple severe ill-effects. Its pathogenesis is still unclear, and till date, no study has been conducted to investigate the plasma exome profile of Tibetan patients w
Publikováno v:
Service-Oriented Computing ISBN: 9783030914301
ICSOC
ICSOC
Runtime IoT data fluctuation brings challenges for optimizing the resource allocation for a data stream processing (DSP) flow in a cloud-edge environment. It can result in extra high latency for a flow. Optimized strategy of dynamic resource allocati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798fdaaacb66336517f4698ccf804bd8
https://doi.org/10.1007/978-3-030-91431-8_55
https://doi.org/10.1007/978-3-030-91431-8_55
Publikováno v:
International Journal of Web Services Research. 14:1-16
Stream data from devices and sensors is considered a typical kind of big data. Though being promising, they have a good prospect only when we can reasonably correlate and effectively use them. Herein, services come back to the spotlight. The paper re
Publikováno v:
Service-Oriented Computing ISBN: 9783030337018
ICSOC
ICSOC
Efficient scheduling of data elements and computation units can help to reduce the latency of processing big IoT stream data. In many cases, moving computation turns out to be more cost-effective than moving data. However, deploying computations from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6548666bbe6a0eba663f2f5b6d219bc4
https://doi.org/10.1007/978-3-030-33702-5_17
https://doi.org/10.1007/978-3-030-33702-5_17
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030176419
ICSOC Workshops
ICSOC Workshops
Although IoT service and service composition provide effective means to develop IoT applications, the dynamic and time-varying correlation among massive sensors rises up new challenges to the traditional model-based approaches, and the extra uncertai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8c92779ac701edc11fe270981639e46
https://doi.org/10.1007/978-3-030-17642-6_15
https://doi.org/10.1007/978-3-030-17642-6_15
Publikováno v:
Agricultural Science & Technology. May2015, Vol. 16 Issue 5, p1064-1068. 5p.
Configuration Design and Analysis of Double Tetrahedron Superposition Symmetrical Coupling Mechanism
Autor:
Shouli Zhang
Publikováno v:
Journal of Physics: Conference Series. 1549:032004
A new hexahedral single degree of freedom developable symmetrical coupling mechanism is proposed based on the he spatial structure characteristics of regular tetrahedron. Firstly, in order to design the equivalent basic model of hexahedral mechanism,
Publikováno v:
ICWS
Edge computing may improve the processing quality of big IoT stream data and reduce network operational cost by moving computation onto the edge. However, there are two challenges in integrating cloud and edge computing for big stream data. Firstly,