Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Haoshan Shi"'
Autor:
Kazumasa Iida, Yoshihiro Yamauchi, Takafumi Hatano, Kai Walter, Bernhard Holzapfel, Jens Hänisch, Zimeng Guo, Hongye Gao, Haoshan Shi, Shinnosuke Tokuta, Satoshi Hata, Akiyasu Yamamoto, Hiroshi Ikuta
Publikováno v:
Science and Technology of Advanced Materials (2024)
Understanding the nature of grain boundaries is a prerequisite for fabricating high-performance superconducting bulks and wires. For iron-based superconductors [e.g. Ba(Fe,Co)[Formula: see text]As[Formula: see text], Fe(Se,Te), and NdFeAs(O,F)], the
Externí odkaz:
https://doaj.org/article/9a2edefeb4c24a15add8a9adedac157b
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Self-localization is one of the key technologies in the wireless sensor networks (WSN). Some traditional self-localization algorithms can provide a reasonable positioning accuracy only in a uniform and dense network, while for a nonuniform network th
Externí odkaz:
https://doaj.org/article/67de811a12414173a438376350c84d54
Autor:
Haoshan Shi, Fuping Wu, Huang Pengyu, Wei Wang, Xiaojiang Chen, Xu Dan, Baojian Gao, Dajun Wu
Publikováno v:
Peer-to-Peer Networking and Applications. 10:537-546
Efficient energy consumption is crucial for energy constrained networks such as Wireless Sensor Networks (WSN). Using a mobile sink to collect the data of the nodes is a good method to balance the energy level of the nodes and prolong the lifetime of
Publikováno v:
CSAR@SenSys
Recent advances in unmanned aerial vehicle (UAV) and wireless charging technologies have made it practical to introduce a mobile node into Wireless Sensor Networks (WSN). This mobile node with sink ability or charging equipment on it can travel aroun
Publikováno v:
Communications in Computer and Information Science ISBN: 9783662469804
CWSN
CWSN
Self-Localization is one of the key technologies in the wireless sensor network (WSN). The traditional self-localization algorithms can provide a reasonable positioning accuracy only in a uniform and dense network, while for a non-uniform network, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26a317aaec07facefb8edf8c82c8755d
https://doi.org/10.1007/978-3-662-46981-1_24
https://doi.org/10.1007/978-3-662-46981-1_24
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Self-localization is one of the key technologies in the wireless sensor networks (WSN). Some traditional self-localization algorithms can provide a reasonable positioning accuracy only in a uniform and dense network, while for a nonuniform network th
Publikováno v:
IEEE Communications Letters. 15:419-421
This letter presents a pattern discovery algorithm for multi-streams mining in wireless sensor networks. The algorithm adapts operators of Genetic Algorithm with Elitism Strategy into the iteration in tracking weights. We describe the algorithm, give
Autor:
Haoshan Shi, Zhaolin Zhang
Publikováno v:
2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA).
This paper presents a no-reference objective video quality assessment method for compressed video. Only employed two parameters are involved: the change of the bit rate for the encoded video and the difference between its successive frames, and asses
Publikováno v:
2012 IEEE Symposium on Electrical & Electronics Engineering (EEESYM).
M-ary LDPC codes provide higher performances than their binary counterpart but suffer from highest decoding complexity. The use of stochastic decoding algorithm can reduce the decoding complexity, but the computational complexity of probability gener
Publikováno v:
Future Control and Automation ISBN: 9783642310027
With the rapid development of mobile communication networks, MS location accuracy is subjected to a concern increasing, and NLOS errors is one of key reasons that influence the accuracy of MS location. A hybrid TOA/AOA method which improves the [6] m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3919e5fe75519bef1f49a9c6de65fd8
https://doi.org/10.1007/978-3-642-31003-4_61
https://doi.org/10.1007/978-3-642-31003-4_61