Abstract Diffractions are seismic waves generated by small-scale heterogeneities in the subsurface. These often superimposed strong reflections so that they not visible on image, leading to misinterpretation and incorrect localization of scatterers. Therefore, separation diffracted reflected is a crucial step identifying these diffractors. To realize diffraction imaging, least-squares reverse t...

Indonesia is known for its excessive rainfall. Rainfall trends in an area have different characteristics. Differences latitude, apparent motion of the sun, geographical position, topography, and interaction many forms air circulation all contribute to this. time series essential engineering planning, particularly water infrastructure like irrigation, dams, urban drainage, ports, wharves. Althou...

Wind energy has increasingly played a vital role in mitigating conventional resource shortages. Nevertheless, the stochastic nature of wind poses a great challenge when attempting to find an accurate forecasting model for wind power. Therefore, precise wind power forecasts are of primary importance to solve operational, planning and economic problems in the growing wind power scenario. Previous...

Multiple neuron activities in an active brain can be recorded using microelectrode arrays (MEAs) and analyzed. This requires an accurate detection of the neural spikes. In this paper, three approaches based on fractal dimension (FD), smoothed nonlinear energy operator (SNEO) and standard deviation to detect the spikes for noisy neuronal data are proposed. These methods however do not perform we...

ObjectiveHeart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various motion artifacts. The objective is to develop algorithms to reduce the effect of motion artifacts and thus obtain accurate heart rate estimation. MethodsPropos...

We studied hidden periodicities and trends in the temporal dynamics of soil salinity in the Canadian prairies at a field scale. Singular spectrum analysis (SSA) was applied to time series of the groundwater depth (Dgw), total precipitation, groundwater electrical conductivity (ECgw), and soil electrical conductivity (ECe). We found that the temporal variability of soil salinity is determined by...

Many Operational Research (OR) techniques use historical data to populate model input parameters. Although the majority of these models take into account stochastic variation of the inputs, they do not necessarily take into account seasonal variations and other stochastic effects that might arise. One of the major applications of OR lies within healthcare, where ever increasing pressure on heal...

In this paper, unique approach is presented for the electroencephalography (EEG) signals analysis. This is based on Eigen values distribution of a matrix which is called as scaled Hankel matrix. This gives us a way to find out the number of Eigen values essential for noise reduction and extraction of signal in singular spectrum analysis. This paper gives us an approach to classify the EEG signa...