Quantitative elemental analysis of Cyperus rotundus medicinal plant by PIXE and ICP-MS techniques

671-674Particle induced x-ray emission (PIXE) and inductively coupled plasma mass spectroscopy (ICP-MS) techniques have been employed in this work to determine the elements present in the root of Cyperus rotundus medicinal plant used in the treatment of rheumatoid arthritis. The elements V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb and Sr were commonly identified and quantified by both PIXE and ICP-MS, whereas, the elements Li, Be, Al, As, Se, Ag, Cd, Ba, Tl, Pb and U were determined by ICP-MS and Cl, K, Ca, Ti and Br were determined by PIXE. The regional variation of elemental content has also been studied by analyzing the same plant collected from different geographical locations. Information on elemental content of the medicinal plant would be helpful in correlating its ability in the treatment of rheumatoid arthritis and also in deciding the dosage of this herbal medicine from metal toxicity point of view

Multiple ionization effects on L X-ray intensity ratios in Hf, Ta, Re, Ir, Pt, Au and Pb due to proton bombardment at energies 1–5 MeV

The L X-ray intensity ratios in the elements Hf, Ta, Re, Ir, Pt, Au and Pb due to proton bombardment at energies from 1 to 5 MeV are measured and compared with the ECPSSR theoretical intensity ratios. The L$_{\alpha}$/Ll intensity ratios obtained in the present work are in good agreement with theoretical values while the L$_{\beta }$/L$_{\gamma }$ and L$_{\alpha }$/L$_{\beta }$ intensity ratios are consistently lower than the theoretical values. This deviation may be explained in terms of multiple ionization effects in M, N and O shells

Enhancing Network Forensic and Deep Learning Mechanism for Internet of Things Networks

522-528The integration of intelligence into everyday products has been possible due to the ongoing shrinking of hardware and a rise in power efficiency. The Internet of Things (IoT) area arose from the tendency to add computational capabilities to so-called non-intelligent daily items. IoT systems are attractive targets for cyber-attacks because they have many applications. Adversaries use a variety of Advanced Persistent Threat (APT) strategies and trace the source of cyber-attack events to safeguard IoT networks. The Particle Deep Framework (PDF), which is proposed in this study, is a novel Network Forensics (NF) that encompasses the digital investigative phases for spotting & tracing attack activity in IoT networks. The suggested framework contains three novel functionalities for dealing with encrypted networks, such as collecting network data flows & confirming their integrity, using a PSO algorithm, "Bot-IoT "& "UNSW NB15" datasets. The suggested PDF is related to several deep-learning methods. Experimental outcomes show that the proposed framework is very good at discovering & tracing cyber-attack occurrences when compared to existing approaches. The proposed design is implemented using neural network technology. The proposed design has 10% accuracy when compared with the existing structure. This paper is expected to offer a quick reference for researchers interested in understanding the use of network forensics and IOT

Physical characteristics of PbO-ZrO2-SiO2:TiO2 glass ceramics embedded with Pb2Ti2O6 cubic pyrochlore crystal phase: Part-I electrical properties

This study is mainly focused on electrical characteristics of PbO-ZrO2-SiO2: TiO2 glass ceramics embedded with Pb2Ti2O6 cubic pyrochlore crystal phases. The samples were synthesized by usual melt quenching technique and subsequent heat treating at crystallization temperature for prolonged times. The samples were characterized by XRD, SEM and DSC, IR, EPR and optical absorption spectroscopy techniques. Later, dielectric properties viz., dielectric constant, loss tangent, electric moduli, electrical impedance and a.c. conductivity over wide ranges of frequency and temperature, have been measured as a function of TiO2 content. The results of characterization techniques viz., XRD, SEM and DSC, indicated that the samples are embedded with multiple crystal grains (with sizes varying from 0.1 to 1 mu m) cemented with residual glass phase. The volume fraction of the crystal grains is found to increase with increase of TiO2 content. The XRD studies on PbO-ZrO2-SiO2:TiO2 glass ceramics revealed that Pb2Ti2O6 cubic pyrochlore crystal phase is the principal phase present in the bulk samples. The studies have also confirmed that a small part of Pb(Zr Ti-0.5(0).(5))O-3 and Ti2O3 crystal grains are also present in the titled glass ceramics. The results of IR spectral studies have indicated that there is an increasing degree of polymerization of glass network with increasing TiO2 content up to 0.6 mol%. This is attributed to the presence of Ti ions predominantly in Ti4+ state (in this concentration range of TiO2) that take part in the network forming positions with TiO4 and also substitutionally positioned octahedral sites. The results of optical absorption and EPR spectral studies have pointed out that a part of the Ti ions were reduced to Ti3+ state and such ions were predicted to act as modifiers. These studies have also indicated that the concentration of Ti3+ ions is higher in the samples crystallized with 0.8 and 1.0 mol%. The values of dielectric parameters are decreased with increasing of crystallizing agent. The decrease is attributed to the participation of Ti ions in the formation of Pb2Ti2O6 cubic pyrochlore crystalline phases with TiO4 structural units. Quantitative analysis of the dielectric properties of PbO-ZrO2-SiO2:TiO2 glass ceramics together with the results of spectroscopic studies indicated that the electrical insulating strength is the highest for the glass crystallized with 0.6 mol% of TiO2. (C) 2017 Elsevier B.V. All rights reserved