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Detecting sustained oscillations at their early stages can improve power system's situational awareness (SAW), and allows operators take remedial reactions to potential threatens to system's stability. Previously coherence spectrum based detection methods have been proposed to detect sustained oscillation in low signal-to-noise ratios (SNRs) using phasor measurement unit (PMU) data. However, their...
Classification of EEG signal involved in a particular cognitive activity has found many application in brain-computer interface (BCI). In specific, use of classification algorithms to highly multivariate non-stationary recordings like EEG is a challenging and promising task. This study investigated two sub-stantial novelty of the topics, (1) Distinction between meditation (Kriya Yoga) and non-meditation...
In the era of constantly increasing Earth Observation (EO) data collections, information extraction and data analysis should be enhanced with a multi-temporal component enabled by the temporal resolution of satellite missions and create handy, yet powerful tools for those applications involving monitoring of land cover. The image time series, as results of the satellite revisiting period, gives you...
This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap “EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING”. The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using...
Displacement Field Time Series (DFTS) are often derived from Satellite Image Time Series to study dynamic systems such as glaciers. This analysis can be performed with pattern-based data mining techniques that search DFTS for all possible displacement evolutions. Nevertheless, existing pattern oriented methods do not take into account the coherence measures coming along with such DFTS data. This paper...
Cross-correlations provide a useful technique to analyse the similarities between vegetation indices and time series of climatic variables. However, correlation analyses are not sufficient to unveil changes in the co-variability of vegetation and climate as a function of time or for different temporal scales. Here, we introduce the use of wavelet coherence to evaluate the relationship between vegetation...
A novel time domain method based on improved multivariate empirical mode decomposition (MEMD) for plant-wide oscillations characterization is proposed. The original MEMD is ameliorated in the following aspects, (i) decorrelation of the two-dimensional Halton sequences, (ii) boundary processing to restrain end effect and (iii) improved criterion for sifting process stoppage. Due to its capability to...
As a kind of kernel methods, kernel recursive least squares has attracted wide attention in the research of time series online prediction. It has low computational complexity and updates in the shape of recursive increment. However, with the increase of data size, computational complexity of calculating kernel inverse matrix will raise. In addition, in the process of online prediction, it cannot accommodate...
We propose a novel time series analysis based on persistent scatterer interferometry (PSI) to detect spatial big changes (3D) such as construction along with their occurrence times (1D). PSI detects and analyses persistent scatterer (PS) points, which are characterized by strong and coherent signals throughout time-series SAR images and usually form building-shaped patterns in urban areas. Hence,...
Many real world systems exhibit cyclic behavior that is, for example, due to the nearly harmonic oscillations being perturbed by the strong fluctuations present in the regime of significant non-linearities. For the investigation of such systems special techniques relaxing the assumption to periodicity are required. In this paper, we present the generalization of one of such techniques, namely the...
The city of Sarajevo as the capital and the largest administrative and economic center in Bosnia and Herzegovina represents one of the most polluted cities in Europe in terms of the concentration of PM10 (particulate matter 10). Scientific and professional communities have particularly been focused on identifying the causes of this situation, and on the introduction of the system of measures to reduce...
Synchronization can be considered as a fundamental property for dynamical system in scientific fields, which is used to describe the asynchronous behaviour in time-frequency domain. The statistical analysis of solar time series can obtain some useful information to characterise and predict the long-term variability of the Sun. In this paper, two analysis approaches, including wavelet coherence transform...
Accurate estimation of heart rate dynamics in preterm infants is important for predicting recurrent episodes of severe bradycardia. We hypothesize that estimation of heart rate can be improved by including respiration as a state variable, based on mechanisms that underlie cardio-respiratory coherence. For ten preterm infants, we demonstrate that including respiration as a covariate improves estimation...
We present a study focused on a quantitative estimation of a human-horse dynamic interaction. A set of measures based on magnitude and phase coupling between heartbeat dynamics of both humans and horses in three different conditions is reported: no interaction, visual/olfactory interaction and grooming. Specifically, Magnitude Squared Coherence (MSC), Mean Phase Coherence (MPC) and Dynamic Time Warping...
The standard TanDEM-X baselines have been designed to optimize the high resolution global Digital Elevation Model (DEM) generation. However, during the Science Phase of the mission longer baselines are available. This allows interferometric measurements with a higher vertical sensitivity, more appropriate for agricultural applications, where the crop heights are too small to be properly detected and...
Prefetching technique is an effective approach to mitigate a well-known problem in multicore processors: the gap between computing and data access performance. Data prefetching goal is to anticipate data to CPU by retrieving data from memory and loading it into cache memory before the CPU request, reducing the miss rate and processor s penalty. In NoC-based multiprocessor systems, prefetching efficiency...
We have studied ground deformation in the Osaka and Kanto plains, Japan, using ALOS/PALSAR and revealed unique deformations related to active faults. In order to clarify their evolution after 2011, we analyzed strip-map mode images of ALOS-2/PALSAR-2 acquired during 2014–2015. In Osaka, we did not find deformation observed before 2011 such as uplift in southern Kyoto and subsidence along the Arima-Takatsuki...
Human-human interactions are widely existed in many fields. In this paper we describe how to analyze and assess the interactional synchrony between two humans by using body sensor networks (BSNs). Utilizing acceleration data collected from inertial sensors, the synchrony between two people's movements both from time domain and frequency domain is conducted to get a better understanding of the coordination...
Various processes occur in recalling in brain and it is necessary to investigate memory brain function. Dual process theory separates recollection from familiarity in recognition memory. By comparing individuals with respect to normal state and with impairment, one can understand performance of memory. Comparison of two conditions infers that particular brain mechanism is being affected from impairment...
Land displacement in Ordos, China, between 8 January 2007 and 19 January 2011 was mapped using L-band ALOS PALSAR data. Twenty ALOS PALSAR scenes acquired were utilised to generate both PSI and DInSAR results. Several locations in the eastern Ordos experiencing rapid land subsidence were identified including Huo Luo Wan coalmine and Qu Jia Liang coalmine. The subsidence rates ranging from −35mm/year...
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