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of 10
pro vyhledávání: '"Peter Awe"'
Comparative Analysis of Machining Stainless Steel using Soluble and Vegetable Oils as Cutting Fluids
Publikováno v:
International Journal of Engineering Materials and Manufacture, Vol 4, Iss 1 (2019)
In this study, the performance of groundnut oil as an alternate cutting fluid was compared with that of soluble oil during machining of stainless steel. The temperature at the cutting zone, surface roughness and the chip formation were monitored unde
Externí odkaz:
https://doaj.org/article/be055d8d424749dcb19bc3c7588c5bcb
Publikováno v:
IEEE Access, Vol 6, Pp 25377-25388 (2018)
This paper addresses the problem of spectrum sensing in multi-antenna cognitive radio system using the support vector machine (SVM) algorithms. First, we formulated the spectrum sensing problem under multiple primary users scenarios as a multiple sta
Externí odkaz:
https://doaj.org/article/a7e06193f2474b01ae7a3455dbd87369
Autor:
Akinyele Abiodun Itamakinde, Temitayo O. Ejidokun, Esan I. Owolabi, Olusegun Peter Awe, Babatunde Segun Adejumobi
Publikováno v:
International Journal on Communications Antenna and Propagation (IRECAP). 12:411
Publikováno v:
IEEE Access, Vol 6, Pp 25377-25388 (2018)
This paper addresses the problem of spectrum sensing in multi-antenna cognitive radio system using the support vector machine (SVM) algorithms. First, we formulated the spectrum sensing problem under multiple primary users scenarios as a multiple sta
Comparative Analysis of Machining Stainless Steel using Soluble and Vegetable Oils as Cutting Fluids
Publikováno v:
International Journal of Engineering Materials and Manufacture, Vol 4, Iss 1 (2019)
In this study, the performance of groundnut oil as an alternate cutting fluid was compared with that of soluble oil during machining of stainless steel. The temperature at the cutting zone, surface roughness and the chip formation were monitored unde
Publikováno v:
ICSPCS
sensing in cognitive radio networks under multiple primary users condition using multi-class support vector machine (SVM) algorithms. First, we formulated the spectrum sensing problem under multiple primary users scenario as a multiple class signal d
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319245393
CrownCom
CrownCom
In this paper we propose and investigate a novel technique to enhance the performance of parametric classifiers for cognitive radio spectrum sensing application under slowly fading Rayleigh channel conditions. While trained conventional parametric cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca80dbd7a08622e87177d0bbc0e78542
https://doi.org/10.1007/978-3-319-24540-9_19
https://doi.org/10.1007/978-3-319-24540-9_19
Publikováno v:
GlobalSIP
The successful implementation of dynamic spectrum access in cognitive radio networks requires that the secondary user has an autonomous knowledge of the true status of the licensed user activities. This paper investigates and proposes a robust blind
Publikováno v:
TAAI
Cognitive radio has been described as the panacea to the problem of ever growing demand and scarcity of the radio spectrum. Fundamental to the successful implementation of cognitive radio is spectrum sensing. Here, we propose and investigate the perf
Publikováno v:
3rd IEEE International Conference on Adaptive Science & Technology (ICAST 2011); 1/ 1/2011, p174-177, 4p