TFMD-SDVN: a trust framework for misbehavior detection in the edge of software-defined vehicular network

The Journal of Supercomputing - In this paper, a trust framework is proposed for misbehavior detection in software defined vehicular networks (TFMD-SDVN) to detect the correct events in the network...     

Pre-compensator selection for <Emphasis Type=Italic>H</Emphasis><Subscript>∞</Subscript> loop shaping control

In this paper, an attempt has been made to address on the design of pre-compensator to obtain the solution of H _∞ loop-shaping control problem. Two different design techniques have been proposed where the first one is based on singular value decomposition (SVD) technique along with the matrix perturbation approach; the other one is focused in linear matrix inequality (LMI) framework leading to minimize the condition number of the pre-compensator that, in turn, reduces loop deterioration. A numerical example has been considered to illustrate the effectiveness of the proposed method.     

Facile synthesis of BSCF perovskite oxide as an efficient bifunctional oxygen electrocatalyst

We present a facile way to synthesize BSCF by using glycine-nitrate auto-combustion followed by annealing at different conditions, which work as high-performance bifunctional electrocatalyst for oxygen evolution (OER) as well as oxygen reduction (ORR) reactions in alkaline solution with comparatively better efficiency for OER. Annealing condition plays an important role towards catalytic performance due to morphological control and surface composition. Although, there is no significant change in onset potentials but these catalysts afford a current density >10 mA cm^?2 at the potential of 1.65 V for oxygen evolution reaction and a current density >2.5 mA cm^?2 at the potential of 0.009 V for oxygen reduction reaction with respect to RHE in 0.1 M KOH. The underlying mechanism for ORR and OER as well as catalytic activity differences were understood with the help of different analytical characterization techniques.     

Degree of sulfonation and microstructure of post-sulfonated polyethersulfone studied by NMR spectroscopy

Commercial polyethersulfone (Udel^® 1800) based on 4,4′-dihydroxy-2,2-diphenylpropane (bisphenol-A) and dichlorodiphenylsulfone was post-sulfonated using trimethylsilyl chlorosulfonate under mild conditions. The partially sulfonated polyethersulfones were investigated by ¹H and ¹³C NMR in their acid and/or sodium salt form. Several ¹³C NMR signals could be assigned up to the triad level. ¹³C-T₁ relaxation times were determined by the inversion recovery method for all carbons to ensure conditions for quantitative ¹³C NMR measurements. Additionally, the nuclear Overhauser enhancements are given. The degree of sulfonation (DS) of the samples covers the range from 13.6 to 100% as determined both by ¹H and ¹³C NMR spectroscopy. The NMR spectra confirm that the sulfonation occurs solely as mono-substitution of each phenyl ring of the dioxy-2,2-diphenylpropane unit in ortho-position to the ether bond. The microstructure of all polymers was evaluated from the content of dioxy-2,2-diphenylpropane-based diads and diphenylsulfone-centred triads. From the development of non-, mono- and disulfonated dioxy-2,2-diphenylpropane units with increasing DS it can be concluded that the sulfonation of the first phenyl ring retards the sulfonation of the second one. Thus, the non-sulfonated units deplete faster and the monosulfonated units are enriched compared with a random sulfonation. There is no reactivity influence between dioxy-2,2-diphenylpropane units which are separated by a diphenylsulfone unit because the content of diphenylsulfone-centred units follows the random distribution.     

Effect of electrolyte nature in mass transport of a neutral solute in a microtube with porous wall

Electroosmotic flow in a microchannel is an active area in microfluidics. Microchannels with porous wall are advantageous due to selective separation and enhanced mass transport. An economic and innovative method to fabricate hollow microtubes and their application in electrokinetics are illustrated. Effects of asymmetric electrolyte on mass transport of a neutral macrosolute in the microtube with porous wall are investigated. The combined velocity profile including both pressure-driven and electroosmotic flow is modeled for different electrolytes. It is found from the study that the addition of higher valency asymmetric electrolyte (3:1) increases transport of neutral solutes across the porous wall compared to its symmetric counterpart (1:1). The developed model was validated with the experimental results, using a cartridge having hollow microtubes with porous wall. This study would be helpful to select an appropriate electrolyte, improving the design, and performance prediction of microfluidic devices.     

Fabrication and characterization of hydrophobic thin polytrifluoroethyl methacrylate adhered coating on cotton surface via amicellar polymerization

In this study, fluorine-based methacrylate ester monomers were polymerized on cotton fabric by admicellar polymerization to make the cotton surface highly rough and also highly hydrophobic with a reliable water contact angle value. The rough micro/nano-textured surface morphology, after surface fluorination, results in hydrophobicity. The hydrophobic character was confirmed by a simple drop test and contact angle measurements. Surface composition was evaluated by SEM and FT IR analysis to confirm the fluoropolymeric layer adhered on the cotton surface.     

Enhanced dielectric and ferroelectric properties induced by Ag @ Pb(Zr,Ti)O3 in poly(vinyl alcohol) matrix composites: A solution casting approach

The present research work focused on the dielectric and electrical properties of silver (Ag) doped Pb(Zr,Ti)O₃ (PZT) particles embedded in a matrix of poly(vinyl alcohol) (PVA) via solution casting technique. The structural analysis confirmed the presence of Ag particles and the microstructural study revealed that both Ag and PZT particles were successfully homogenized over the polymer matrix. The Ag–PZT–PVA composites showed enhanced dielectric properties over a wide range of frequency and the dielectric constant value of such composites was significantly increased to 366 (100 Hz) at 1.1 wt % filler loading. The percolation threshold of the Ag–PZT–PVA composites was found to be 0.9 wt %. The experimental result well fitted to the percolation theory. The enhancement of dielectric constant of the resulting composite systems might be attributed to the increment of conductivity of the interlayer between PZT and PVA due to the presence of Ag particles, which improved the space charge polarization and Maxwell–Wagner–Sillars (MWS) polarization effects. Furthermore, the remnant polarization of the unpoled Ag–PZT–PVA composites (2P_r ～1.48 µC/cm² for 1.1.wt % of Ag–PZT) has also improved, which is favorable for enhanced ferroelectric properties of the composites. The present findings of the composites might be exploited in the potential application of high performance energy storage devices. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017 , 134, 45583.     

QUBLE: towards blending interactive visual subgraph search queries on large networks

In a previous paper, we laid out the vision of a novel graph query processing paradigm where instead of processing a visual query graph after its construction, it interleaves visual query formulation and processing by exploiting the latency offered by the gui to filter irrelevant matches and prefetch partial query results [8]. Our recent attempts at implementing this vision [8, 9] show significant improvement in system response time (srt) for subgraph queries. However, these efforts are designed specifically for graph databases containing a large collection of small or medium-sized graphs. In this paper, we propose a novel algorithm called quble (QUery Blender for Large nEtworks) to realize this visual subgraph querying paradigm on very large networks (e.g., protein interaction networks, social networks). First, it decomposes a large network into a set of graphlets and supergraphlets using a minimum cut-based graph partitioning technique. Next, it mines approximate frequent and small infrequent fragments (sifs) from them and identifies their occurrences in these graphlets and supergraphlets. Then, the indexing framework of [9] is enhanced so that the mined fragments can be exploited to index graphlets for efficient blending of visual subgraph query formulation and query processing. Extensive experiments on large networks demonstrate effectiveness of quble.     

A modified distance method for multicriteria optimization, using genetic algorithms

The common application areas of Genetic Algorithms (GAs) have been to single criterion difficult optimization problems. The GA selection mechanism is often dependent upon a single valued scalar objective funtion. In this paper, we present results of a modified distance method. The distance method was proposed earlier by us, for solving multiple criteria problems with GAs. The Pareto set estimation method, which is fundamental to multicriteria analysis, is used to perform the multicriteria optimization using GAs. First, the Pareto set is found out from the population of the initial generation of the GA. The fitness of a new solution, is calculated by a distance measure with reference to the Pareto set of the previous runs. We calculate the distances of a solution from all the Pareto solutions found since the previous run, but the minimum of these distances is taken under consideration while evaluating the fitness of the solution. Thus the GA tries to maximize the distance of future Pareto solutions from present Pareto solutions in the positive Pareto space of the given problem. Here we modify distance method, by using an improved algorithm to assign and make use of the latent potential of the Pareto solutions which are found during the runs. Two detailed numerical examples and computer generated results are also presented.