the renewable energy resources such as wind power have recently attracted more researchers’ attention. it is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. in this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. in this paper, the dynamic characteristics and short-term predictabili...

Electrochemical noise data is commonly used to monitor corrosion of metals in various environments. In this work we use recurrence plots to study electrochemical noise time series of stainless steel AISI 316 samples immersed in mildly corrosive electrolyte. It has been found that current and potential time series reveal different information. Recurrence quantification analysis of current time s...

Abstract Recurrence quantification analysis (RQA) is a well established method of nonlinear data analysis. In this work, we present new strategy for an almost parameter-free RQA. The approach finally omits the choice threshold parameter by calculating RQA measures range thresholds (in fact recurrence rates). Specifically, test ability measure determinism, to sort with respect their signal noise...

When jazz musicians perform an improvisational piece of music their behaviors are not fully prescribed in advance. Nonetheless their actions become so tightly coordinated and their decisions so seamlessly intertwined that the musicians behave as a single synergistic unit rather than a collection of individuals. A fundamental aspect of such musical improvisation is the bodily movement coordinati...

Recurrence quantification analysis (RQA)was used to analyse force signals during sustained sub-maximal grip contraction (SSGC) of three types of patients suffering from a metabolic muscle disorder (glycogen storage disease type III (GSD III), glycogen storage disease type V (GSD V) andmitochondrial myopathies (MITO)) compared to control subjects. Recurrence plots (RP) of patients showed clear n...

Coherent collective behavior emerges from local interactions between individuals that generate group dynamics. An outstanding question is how to quantify group coherence in order to understand the nature of these dynamics. We investigate this problem in the context of a small group of pedestrians instructed simply to walk to a goal. To measure the degree of coordination in a group, we employed ...

Traditional methods of signal analysis of one-dimensional data have limited use in unraveling how the movements of a musician in performance relate to the musical structure because performers’ movements are complex. Methods developed for the analysis of multi-dimensional chaotic systems, such as recurrence quantification analysis, are well suited to dealing with complex data of this type. We co...

Using corpus-based methods inspired by recurrence quantification analysis, we investigate the patterns that shape coordination in dialogue, in particular during the process of language acquisition. We show that the turn-by-turn temporal development of conversation is a key factor influencing when and how interlocutors match each other’s linguistic representations. Although there is continuity b...