Ara
Toplam kayıt 555, listelenen: 71-80
The effect of missing wind speed data on wind power estimation
(Springer-Verlag Berlin, 2007)
In this paper, the effect of possible missing data on wind power estimation is examined. One-month wind speed data obtained from wind and solar observation station which is constructed at Iki Ey- Campus of Anadolu University ...
Robust tracking and disturbance rejection in linear hybrid systems
(Acta Press, 2005)
Robust tracking and disturbance rejection problem, which is commonly referred as the robust servomechanism problem, is considered for linear hybrid systems. The necessary and sufficient conditions for the existence of a ...
A statistical approach to determine the neighborhood function and learning rate in Self-Organizing Maps
(Springer-Verlag Singapore Pte LTD, 1998)
The problem of choosing the neighborhood function and learning rate in Kohonen's Self-Organizing Map (SOM) is generally application dependent, empirical and difficult to analyze. In this paper, a new approach based on the ...
Integrated routing and flow control in highways
(IEEE, 1997)
A control algorithm which integrates routing and flow control in highways is discussed. The algorithm is based on a congestion measure.
Active suspension design for an idealized truck cabin
(Institute of Electrical and Electronics Engineers Inc., 2014)
In this paper, a prototype three-degree-of-freedom cabin model for a commercial truck is derived to study ride motions of the cabin under random road excitations. An active suspension system is designed using the ...
Robust Optimal Control of Power Systems
(Acta Press, 2016)
The disturbance attenuation and robustness problems for power systems, modelled as nonlinear dynamic systems, is considered. A simultaneous solution to these two problems is proposed by using the necessary conditions. An ...
HEp-2 Cell Classification using a Deep Neural Network Trained for Natural Image Classification
(IEEE, 2016)
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ...
A novel 2-d model approach for the prediction of hourly solar radiation
(Springer-Verlag Berlin, 2007)
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and ...
A novel feature vector consisting of Ar-Ma model parameters for motor fault classification
(IEEE, 2006)
In this work, AR-MA parameters corresponding to zeros and poles of the z-plane model are extracted from the sampled current waveform spectra, and considered as elements of a feature vector to classify faulty motors. The ...
Pdf sharpening for multichannel predictive coders
(2006)
Predictive coders that split the prediction decision into con-texts depending on the local image behaviour have proved to be practically useful and successful in image coding applications. Such predictive coders can be ...