Yayıncı "Springer-Verlag Berlin" Bildiri Koleksiyonu için listeleme
Toplam kayıt 10, listelenen: 1-10
-
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 ... -
Extended partial path heuristic for real-time staging in oversubscribed networks
(Springer-Verlag Berlin, 2003)In this paper we propose the use of the PPH as a base for an offline schedule method to detect unsatisfiable requests in a staging system. This property allows a reduction in the overhead of transferring data-items with ... -
A new approach for next day load forecasting integrating Artificial Neural Network model with Weighted Frequency Bin Blocks
(Springer-Verlag Berlin, 2008)In this study, a new method is developed for the next day load forecasting integrating Artificial Neural Network(ANN) model with Weighted Frequency Bin Blocks (WFBB). After the WFBB is applied to all data, the results ... -
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 ... -
On feature extraction for spam e-mail detection
(Springer-Verlag Berlin, 2006)Electronic mail is an important communication method for most computer users. Spam e-mails however consume bandwidth resource, fill-up server storage and are also a waste of time to tackle. The general way to label an ... -
A path selection based algorithm for maximizing self-satisfiability of requests in real-time Grid applications
(Springer-Verlag Berlin, 2004)Efficient data scheduling in Grid environments is becoming a seemingly important issue for distributed real-time applications that produce and process huge datasets. Thus, in this paper, we consider the data scheduling ... -
Performance of real-time data scheduling heuristics under data replacement policies and access patterns in data grids
(Springer-Verlag Berlin, 2006)A variety of real-time data scheduling heuristics were proposed for distributed, data intensive real-time applications running on a distributed computing system. The proposed heuristics are used to produce real-time data ... -
Self Organizing Map (SOM) approach for classification of mechanical faults in induction motors
(Springer-Verlag Berlin, 2007)In this work, Self Organizing Map (SOM) is used in order to detect and classify the broken rotor bars and misalignment type mechanical faults that often occur in induction motors which are widely used in industry. The ... -
Solar radiation data modeling with a novel surface fitting approach
(Springer-Verlag Berlin, 2008)In this work one year hourly solar radiation data are analyzed and modeled. Using a 2-D surface fitting approach, a novel model is developed for the general behavior of the solar radiation. The mathematical formulation of ... -
Static mapping heuristics for tasks with hard deadlines in real-time heterogeneous systems
(Springer-Verlag Berlin, 2004)Hard real-time tasks are associated with strict deadlines. Classical scheduling heuristics ensure fairness among tasks and prevent deadlock, but are not concerned with deadline compliance. Hence, there is a need for ...