Abstract A method for estimating key parameters of ocean waves (the dominant frequency and the significant wave height) from uncalibrated monoscopic video is proposed, based on temporal variation field, specifically time series pixel intensities. The methodology tracks principal component movement water in video, which we propose associated with ocean. To accomplish this, singular spectrum anal...

Abstract Herein, we present a novel topic variation detection method that combines extraction and change-point method. It extracts topics from time-series text data as the feature of each time detects change points changing patterns extracted topics. We applied this to analyze valuable, albeit underutilized, dataset containing Japanese Prime Minister’s (PM’s) detailed daily activities for over ...

In environmental radiation monitoring, the time-variable natural gamma radiation background complicates the nuclide identification and analysis of a gamma spectrum. A full spectrum analysis based on the noise adjusted singular value decomposition method for the description of the time-variable background and adjustment calculations is a possible analysis method, which may provide advantages com...

We show that whole-line Schrödinger operators with finitely many bound states have no embedded singular spectrum. In contradistinction, we show that embedded singular spectrum is possible even when the bound states approach the essential spectrum exponentially fast. We also prove the following result for oneand two-dimensional Schrödinger operators, H, with bounded positive ground states: Given...

We show that whole-line Schrödinger operators with finitely many bound states have no embedded singular spectrum. In contradistinction, we show that embedded singular spectrum is possible even when the bound states approach the essential spectrum exponentially fast. We also prove the following result for oneand two-dimensional Schrödinger operators, H, with bounded positive ground states: Given...