The rapid expansion of CubeSat constellations could revolutionize the way inland and nearshore coastal waters are monitored from space. This potential stems ability CubeSats to provide daily imagery with global coverage at meter-scale spatial resolution. In this study, we explore unique opportunity improve retrieval bathymetry offered by CubeSats, specifically those PlanetScope constellation. o...

Radio Frequency Identification (RFID) is a highly beneficial technological advancement which could eventually change the way of doing business. However, the difficulty in assessing the potential benefits of RFID has been delayed RFID related investment decisions within organizations. Especially, time lag, or payback time from RFID investment, has been one of key barriers in RFID investment. Thi...

We report the first study of Fourier-frequency-dependent coherence and phase/time lags at optical wavelengths of cataclysmic variables (MV Lyr and LU Cam) displaying typical flickering variability in white light. Observations were performed on the William Herschel Telescope using ULTRACAM. Light curves for both systems have been obtained with the SDSS filters u′, g′ and r′ simultaneously with c...

Wave-equation migration velocity analysis (WEMVA) is an image-domain velocity model building technique based on band-limited wave propagation and designed especially for complex subsurface environments. It exploits the coherency of reflection events measured in extended images produced by a cross-correlation imaging condition with non-zero lags. Conventional approaches use either space-lags or ...

It is shown that the energy dependence of the time lags in Cygnus X-1 excludes any significant contribution of the standard reflected component to the observed lags. The conclusion is valid in the 0.1–10 Hz frequency range where time lags have been detected with high enough significance. In fact the data hint that reflected component is working in opposite direction, reducing the lags at energi...

This paper introduces Lags COevolving with Rbfns (L-Co-R), a coevolutionary method developed to face time-series forecasting problems. L-Co-R simultaneously evolves the model that provides the forecasted values and the set of time lags the model must use in the prediction process. Coevolution takes place by means of two populations that evolve at the same time, cooperating between them; the fir...