This paper presents application of parametric techniques (Estimation of signal parameter by rotational invariance techniques (ESPRIT), Root multiple signal classification (Root MUSIC)) for the estimation of harmonics/inter harmonics produced by wind generator under constant, variable rotor speed, load imbalance. Accuracy of estimation by parametric techniques is checked on synthetic signal as w...

This paper revisits the “sliding window” notion commonly encountered in communication protocols and applies it to the round numbers of round-based asynchronous protocols. This approach is novel. To illustrate its benefits, the paper presents an original weak failure detector-based consensus protocol that allows each process to be simultaneously involved in several rounds. The rounds in which a ...

Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that the embedded knowledge in a data stream will change quickly as time goes by. Therefore, catching the recent trend of data is an important issue when mining frequent itemsets from data streams. Although the sliding win...

Positive pathogens prediction is the basis of pathogenic spectrum analysis, which is a meaningful work in public health. Gene Expression Programming (GEP) can develop the model without predetermined assumptions, so applying GEP to positive pathogens prediction is desirable. However, traditional time-adjacent sliding window may not be suitable for GEP evolving accurate prediction model. The main...

In this paper, we are interested in a special class of automata, called scanners. These machines can be considered as a model for computations that require only “local” information. Informally, a scanner is an automaton equipped with a finite memory and a “sliding” window of a fixed length. In a typical computation, the sliding window is moved from left to right on the input, so that the scanne...

Tremendous and potentially infinite volumes of data streams are often generated by real-time surveillance systems, communication networks, Internet traffic, on-line transactions in the financial market or retail industry, electric power grids, industry production processes, scientific and engineering experiments, remote sensors, and other dynamic environments. Unlike traditional data sets, stre...

We present an approach for deformable 3D surface reconstruction using laparoscopic monocular video data that is based on breaking down the nonrigid reconstruction problem into a sequence of temporally-localised rigid reconstructions. Our main contribution, the Rigid Sliding Window algorithm provides a means to achieve this whereby Rigid Shapefrom-Motion is performed over a sliding window that a...

We present new approaches for 5-minute ahead electricity load forecasting. They were evaluated on data from the Australian electricity market operator for 2006-2008. After examining the load characteristics using autocorrelation analysis with 4-week sliding window, we selected 51 features. Using this feature set with linear regression and support vector regression we achieved an improvement of ...

To ensure the Quality of Service (QoS) of the high-priority requests, the paper proposes a Congestion Control Algorithm of Multi-Priority (CCAMP) which differentiates the QoS according to the priorities, CCAMP reserves queue buffer for the high-priority packets by dropping the low-priority packets in a certain probability. Moreover, the paper presents an improved EDF (Earliest Deadline First) s...