Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Lin Cheng-Wang"'
Publikováno v:
Chinese Physics B.
Floquet dynamical quantum phase transitions(DQPTs), which are nonanalytic phenomena recur periodically in time-periodic driven quantum many body systems, have been widely studied in recent years. In this article, the Floquet DQPTs in transverse XY sp
Publikováno v:
International Journal of Theoretical Physics. 61
Publikováno v:
The European Physical Journal D. 76
Autor:
Su Chao-Ton, Lin Cheng-Wang
Publikováno v:
Yugoslav Journal of Operations Research, Vol 15, Iss 2, Pp 289-300 (2005)
This paper presents an extended production inventory model in which the production rate at any instant depends on the demand and the inventory level. The effects of the time value of money are incorporated into the model. The demand rate is a linear
Externí odkaz:
https://doaj.org/article/4fd05540427948728390663e3eb53c78
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
For most practical quantum control systems, it is important and difficult to attain robustness and reliability due to unavoidable uncertainties in the system dynamics or models. Three kinds of typical approaches (e.g., closed-loop learning control, f
Externí odkaz:
https://doaj.org/article/bdc77b42274e4ec7976cd91babf58814
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Externí odkaz:
https://doaj.org/article/517df012597242299587258d6b91c2fd
Publikováno v:
Advanced Materials Research. :306-311
A novel photovoltaic /thermal (PV/T) module is invented, which use micro heat pipe array (MHPA), a flat heat pipe, to cool the solar cell. The PV/T module can achieve the purpose of cogeneration by collecting and utilizing waste heat while cooling th
Publikováno v:
IEEE Transactions on Image Processing. 7:1113-1121
A modular neural network classifier has been applied to the problem of automatic target recognition using forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks. Each neural network makes a d
Publikováno v:
IEEE Transactions on Image Processing. 6:1431-1436
The performance of a classical linear vector predictor is limited by its ability to exploit only the linear correlation between the blocks. However, a nonlinear predictor exploits the higher order correlations among the neighboring blocks, and can pr
Publikováno v:
Proceedings of the IEEE. 84:1513-1528
A vector predictor is an integral part of a predictive vector quantization coding scheme. The conventional techniques for designing a nonlinear predictor are extremely complex and suboptimal due to the absence of a suitable model for the source data.