Multi-Biometric System Based on Cutting-Edge Equipment for Experimental Contactless Verification.

Biometric verification methods have gained significant popularity in recent times, which has brought about their extensive usage. In light of theoretical evidence surrounding the development of biometric verification, we proposed an experimental multi-biometric system for laboratory testing. First, the proposed system was designed such that it was able to identify and verify a user through the hand contour, and blood flow (blood stream) at the upper part of the hand.

Self-Organizing Traffic Flow Prediction with an Optimized Deep Belief Network for Internet of Vehicles.

To assist in the broadcasting of time-critical traffic information in an Internet of Vehicles (IoV) and vehicular sensor networks (VSN), fast network connectivity is needed. Accurate traffic information prediction can improve traffic congestion and operation efficiency, which helps to reduce commute times, noise and carbon emissions. In this study, we present a novel approach for predicting the traffic flow volume by using traffic data in self-organizing vehicular networks.

Tailoring the Properties of Metal Oxide Loaded/KCC-1 toward a Different Mechanism of CO Methanation by in Situ IR and ESR.

Nickel (Ni), cobalt (Co), and zinc (Zn) loaded on fibrous silica KCC-1 was investigated for CO methanation reactions. Ni/KCC-1 exhibits the highest catalyst performance with a CH formation rate of 33.02 × 10 mol mol s, 1.

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals.

In the existing electroencephalogram (EEG) signals peak classification research, the existing models, such as Dumpala, Acir, Liu, and Dingle peak models, employ different set of features. However, all these models may not be able to offer good performance for various applications and it is found to be problem dependent. Therefore, the objective of this study is to combine all the associated features from the existing models before selecting the best combination of features.

Interaction between copper and carbon nanotubes triggers their mutual role in the enhanced photodegradation of p-chloroaniline.

Copper (Cu, 1-5 wt%) was loaded onto carbon nanotubes (CNTs) by a simple electrochemical method. The physicochemical properties of catalysts (Cu/CNTs) were characterized by using X-ray diffraction (XRD), transmission electron microscopy (TEM), nitrogen (N2) adsorption-desorption, Fourier transform infra-red spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and electron spinning resonance (ESR). The results showed that the Cu was distributed well on the CNT surface by the interaction of Cu(2+) ions with -OH and -COOH groups on the CNT surface, which preferentially occurred at the defect sites along the CNT backbone.

The efficient role of aquatic plant (water hyacinth) in treating domestic wastewater in continuous system.

In this study, water hyacinth (Eichhornia crassipes) was used to treat domestic wastewater. Ten organic and inorganic parameters were monitored in three weeks for water purification. The six chemical, biological and physical parameters included Dissolved Oxygen (DO), Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammoniacal Nitrogen (NH3-N), Total Suspended Solids (TSS), and pH were compared with the Interim National Water Quality Standards, Malaysia River classification (INWQS) and Water Quality Index (WQI).

A molecular dynamics study of Beta-Glucosidase B upon small substrate binding.

Paenibacillus polymyxa β-glucosidase B (BglB), belongs to a GH family 1, is a monomeric enzyme that acts as an exo-β-glucosidase hydrolysing cellobiose and cellodextrins of higher degree of polymerization using retaining mechanism. A molecular dynamics (MD) simulation was performed at 300 K under periodic boundary condition for 5 ns using the complexes structure obtained from previous docking study, namely BglB-Beta-d-glucose and BglB-Cellobiose. From the root-mean-square deviation analysis, both enzyme complexes were reported to deviate from the initial structure in the early part of the simulation but it was stable afterwards.

Mathematical modeling of subthreshold resonant properties in pyloric dilator neurons.

Various types of neurons exhibit subthreshold resonance oscillation (preferred frequency response) to fluctuating sinusoidal input currents. This phenomenon is well known to influence the synaptic plasticity and frequency of neural network oscillation. This study evaluates the resonant properties of pacemaker pyloric dilator (PD) neurons in the central pattern generator network through mathematical modeling.

Molecular docking study of Beta-glucosidase with cellobiose, cellotetraose and cellotetriose.

Beta-glucosidase (3.2.1.