Cross Recurrence Plot Based Synchronization of Time Series

The method of recurrence plots is extended to the cross recurrence plots (CRP), which among others enables the study of synchronization or time differences in two time series. This is emphasized in a distorted main diagonal in the cross recurrence plot, the line of synchronization (LOS). A non-parametrical fit of this LOS can be used to rescale the time axis of the two data series (whereby one of it is e.g. compressed or stretched) so that they are synchronized. An application of this method to geophysical sediment core data illustrates its suitability for real data. The rock magnetic data of two different sediment cores from the Makarov Basin can be adjusted to each other by using this method, so that they are comparable.Comment: Nonlinear Processes in Geophysics, 9, 2002, in pres

Accurate Prediction of the Ammonia Probes of a Variable Proton-to-Electron Mass Ratio

A comprehensive study of the mass sensitivity of the vibration-rotation-inversion transitions of $^{14}$NH$_3$, $^{15}$NH$_3$, $^{14}$ND$_3$, and $^{15}$ND$_3$ is carried out variationally using the TROVE approach. Variational calculations are robust and accurate, offering a new way to compute sensitivity coefficients. Particular attention is paid to the $\Delta k=\pm 3$ transitions between the accidentally coinciding rotation-inversion energy levels of the $\nu_2=0^+,0^-,1^+$ and $1^-$ states, and the inversion transitions in the $\nu_4=1$ state affected by the "giant" $l$-type doubling effect. These transitions exhibit highly anomalous sensitivities, thus appearing as promising probes of a possible cosmological variation of the proton-to-electron mass ratio $\mu$. Moreover, a simultaneous comparison of the calculated sensitivities reveals a sizeable isotopic dependence which could aid an exclusive ammonia detection.Comment: 18 pages, 2 figures, 10 table

How to avoid potential pitfalls in recurrence plot based data analysis

Recurrence plots and recurrence quantification analysis have become popular in the last two decades. Recurrence based methods have on the one hand a deep foundation in the theory of dynamical systems and are on the other hand powerful tools for the investigation of a variety of problems. The increasing interest encompasses the growing risk of misuse and uncritical application of these methods. Therefore, we point out potential problems and pitfalls related to different aspects of the application of recurrence plots and recurrence quantification analysis

De zakelijke overheid: publieke en bedrijfsmatige waarden in publiek-private samenwerking

Bedrijfsmatig werken bij de overheid is steeds meer in opmars. Tal van werkwijzen en technieken uit het bedrijfsleven worden overgenomen en ingevoerd. Volgens Jane Jacobs is er echter sprake van twee fundamenteel onverenigbare ethische stelsels. Het commerciële ethos omvat alle normen en waarden uit het bedrijfsleven. Winst en de superioriteit van het marktmechanisme staan hierin centraal. Het martiale ethos omvat alle normen en waarden die betrekking hebben op de taken van de overheid. Zou de overheid bedrijfsmatig kunnen zijn of worden? Volgens Jacobs zijn beide stelsels moeilijk tot niet te verenigen. Een bedrijfsmatige overheid brengt altijd het risico van een waardeconflict met zich mee. Hoe zakelijk kan de overheid dan wel opereren? Wij onderzochten dat bij een aantal projecten waar overheden en bedrijven samen verantwoordelijk waren voor een bouwproject of infrastructurele voorziening (PPS). Aan de hand van onze omschrijving van de zakelijke overheid zijn aan een aantal experts vragen voorgelegd met betrekking tot enkele concrete samenwerkingsverbanden. Op basis van de bevindingen kunnen we concluderen dat de overheid zich binnen de grenzen van het martiale ethos redelijk zakelijk gedraagt. Er zou wel meer aandacht moeten worden besteed aan de efficiëntie van projecten alsmede aan de selectieprocedures van de marktpartijen

Study in optimization of microcircuit design Final report

Optimization of microcircuit reliabilit

How are rescaled range analyses affected by different memory and distributional properties? A Monte Carlo study

In this paper, we present the results of Monte Carlo simulations for two popular techniques of long-range correlations detection - classical and modified rescaled range analyses. A focus is put on an effect of different distributional properties on an ability of the methods to efficiently distinguish between short and long-term memory. To do so, we analyze the behavior of the estimators for independent, short-range dependent, and long-range dependent processes with innovations from 8 different distributions. We find that apart from a combination of very high levels of kurtosis and skewness, both estimators are quite robust to distributional properties. Importantly, we show that R/S is biased upwards (yet not strongly) for short-range dependent processes, while M-R/S is strongly biased downwards for long-range dependent processes regardless of the distribution of innovations.Comment: 15 pages, 6 table