Swinging door algorithm (SDA)Sliding window (SW)Dynamic programmingWind powerPower systemWith the rapid increase in the penetration of wind power in recent years, wind power ramp events (WPREs) have become the main factors affecting the safety and stability of electric power systems. Accurate ...
During the reinforcement periods, when the closed-loop system detects performance of the proximal action (T1) of interest, the algorithm enters a state in which the laser is triggered on performance of the distal action (T2), regardless of the amount of time that has elapsed between the ...
It has been suggested that the use of window functions, other than the rectangular, in the sliding window method, may be beneficial for reducing the effects of motion-related outliers in the time-series, when assessing dynamic functional connectivity (dFC) in resting-state fMRI (rs-fMRI). Meth...
Section 3 provides a detailed introduction to the proposed D-GATAD algorithm, describing the specific details of the procedure used in the detection of anomalies in multivariate time series data. In Section 4, the performance of D-GATAD is evaluated on multiple datasets and compared with that ...
conventional sliding-window Pearson’s correlation45. Next, time-resolved community structure was estimated for each temporal window using the Louvain modularity algorithm from theBrain Connectivity Toolbox114, in which the community assignment for each region was assessed 500 times, and a consensus ...
Inspired by (Yahmed et al., 2015; Aminikhanghahi and Cook, 2017), we use a sliding window algorithm to sequentially extract \widehat{M} estimators from \check{\Gamma} and the final estimate \widehat{\Gamma}=\left\{\widehat{\tau}_m\right\}_{m=1}^{\widehat{M}} . Particularly,...
Dynamic FC matrices computed with SSTD window-sizes were compared with those computed with conventional fixed window-sizes in both analyses. 2. Methods 2.1. Computation of SSTD window-sizes 2.1.1. EMD decomposition EMD uses a sifting algorithm to decompose the original multicomponent time series ...
proposed an adaptive windows algorithm called HWT-ADWIN [15] which introduced the adaptive sliding window mechanism into Hoeffding tree algorithm [10]. The label of new instance is decided by the current decision trees. At the same time, Hoeffding inequality, maximum information gain and second ...
sliding-window approach followed by a community detection algorithm and novel measures of network flexibility on the blood-oxygen level dependent (BOLD) signal of 8 major functional brain networks to reveal static and dynamic alterations in the network reconfiguration during creative cognition using ...
In order to improve image processing speed for lane detection in structured road,an algorithm with monocular vision self-adapting dynamic window is proposed. 为提高结构化道路车道线检测的图像处理速度,提出一种单目视觉自适应动态窗口的高速检测算法。2...