We propose four methods for finding local subspaces in large spectral libraries. The proposed four methods include (a) cosine angle spectral matching; (b) hit quality index spectral matching; (c) self-organizing maps and (d) archetypal analysis methods. Then evaluate prediction accuracies for global and subspaces calibration models. These methods were tested on a mid-infrared spectral library c...

Adulteration of edible vegetable oils is a very serious problem affecting its commercial value and customers’ health. FT-NIR and Confocal Micro-Raman have been explored for discriminating adulteration of sesame oils. The soybean, corn, and peanut oil were mixed into sesame oils in the range of 5~20%(v/v),respectively,and their Confocal Micro-Raman and FT-NIR spectra were collected. Principal co...

One of the most intriguing phenomena in glass forming systems is the dynamic crossover (T(B)), occurring well above the glass temperature (T(g)). So far, it was estimated mainly from the linearized derivative analysis of the primary relaxation time τ(T) or viscosity η(T) experimental data, originally proposed by Stickel et al. [J. Chem. Phys. 104, 2043 (1996); J. Chem. Phys. 107, 1086 (1997)]. ...

In this work, a block-wise extension of Tikhonov regularization is proposed for denoising smooth signals contaminated by wide-band noise. The proposed method is derived from a constrained least squares problem in two forms: 1) a block-wise fixed-lag smoother with smooth inter-block transitions applied in matrix form, and 2) a fixed-interval smoother applied as a forward-backward zero-phase filt...

Partial discharge (PD) online monitoring is a common technique for high-voltage equipment diagnosis. However, due to field interference, the monitored PD signal contains lot of noise. Therefore, this paper proposes novel method by integrating flower pollination algorithm, variational mode decomposition, and Savitzky–Golay filter (FPA-VMD-SG) effectively suppress white noise narrowband in signal...

With advancements in machine-learning techniques, stock-price movements can ostensibly be forecasted using time-series data. In this study, several different types of long short-term memory (LSTM) are used to predict the closing prices Japanese stocks five days into future. Also, four features [i.e., simple moving average (SMA), linear weighted (WMA), exponential WMA (EMA), and Savitzky–Golay (...

Numerous experiments require low latencies in the detection and processing of neural brain activity to be feasible, order a few milliseconds from action reaction. In this paper, design for sub-millisecond communication spiking detected by an array 32 intracortical microelectrodes is presented, exploiting real-time provided Field Programmable Gate Array (FPGA). The embedded commercially availabl...

Abstract Cocoa pods husk (CPH) fermented can be used as an alternative animal feedstuff. Near-infrared (NIR) spectroscopy has been shown in order to determine the nutritional contents of CPH fermented. This study aims assess characteristics NIR raw spectra and pretreated for chemomectric model. The spectrum pretreatments include multiplicative scatter correction (MSC), Savitzky-Golay smoothing ...

The nitrogen content is an important indicator affecting corn plants’ growth status. Most of the standard hyperspectral imaging-based techniques for nondestructive detection crop use a single feature as input variable model, which reduces generalization ability prediction model. To this end, model leaves based on fusion image and spectral features proposed. In study, at modulation stage were st...