Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bing L. Luk"'
Publikováno v:
Measurement + Control, Vol 46 (2013)
In this paper, EPC RFID (radio-frequency identifications) technology, which was developed originally for logistics and supply chain applications, is being investigated for the use of self-service library book checkout applications. To find out the ke
Externí odkaz:
https://doaj.org/article/7655f357e6b6404d8d2cc35916829770
This contribution revisits blind equalisation for high-order quadrature amplitude modulation systems using a low-complexity high-performance concurrent constant modulus algorithm (CMA) and soft decision-directed (SDD) scheme. A fuzzy-logic (FL) tunin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c8ac1798589796812ce1169068b647
https://eprints.soton.ac.uk/268770/
https://eprints.soton.ac.uk/268770/
Publikováno v:
Measurement + Control, Vol 43 (2010)
In this paper, the application of the distributed control architecture using low-cost hybrid wired/wireless control network in the electroplating line control system design is described. The feasibility of implementing condition monitoring under this
Publikováno v:
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 39(2)
An orthogonal forward selection (OFS) algorithm based on leave-one-out (LOO) criteria is proposed for the construction of radial basis function (RBF) networks with tunable nodes. Each stage of the construction process determines an RBF node, namely,
Publikováno v:
Bioinspiration and Robotics Walking and Climbing Robots
Tall buildings and hazardous utilities require regular inspection and maintenance to comply with the ordinance, and to ensure the integrity and safety. The traditional manual inspection and maintenance on tall building normally requires the installat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6898a1e4a060a1e7055a65f816659962
https://doi.org/10.5772/5498
https://doi.org/10.5772/5498
Publikováno v:
International Journal of Bio-Inspired Computation. 1:246
A novel particle swarm optimisation (PSO) tuned radial basis function (RBF) network model is proposed for identification of non-linear systems. At each stage of orthogonal forward regression (OFR) model construction process, PSO is adopted to tune on