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        Improved Interlaminar Shear Behaviour of a New Hybrid Kevlar/Cocos Nucifera Sheath Composites with Graphene Nanoplatelets Modified Epoxy Matrix

        J. Naveen,M. Jawaid,E. S. Zainudin,Mohamed T. H. Sultan,R. Yahaya 한국섬유공학회 2019 Fibers and polymers Vol.20 No.8

        This research investigated the effect of hybridizing Kevlar/cocos nucifera sheath and the effect of adding differentwt.% of Graphene nanoplatelets (GNP) on the interlaminar shear behaviour of laminated composites. Initially, different wt.% (0,0.25, 0.50, and 0.75) of GNP’s were mixed with epoxy resin through Ultrasonic-sonication. Then the laminated compositeswere fabricated by hand lay-up method followed by hot pressing. The weight ratio of Kevlar (K) and cocous nucifera sheath(CS) are 100/0 (S1), 75/25(S2), 50/50 (S3), 25/75(S4), and 0/100(S5). Interlaminar shear strengths (ILSS) of differentlaminates were evaluated using a short beam shear test. The results revealed that hybrid composites S2 (75/25) possess higherILSS than other laminates in the absence of GNP. Addition of GNP at 0.25 wt.% exhibited higher ILSS in all the laminates(S1 to S5) due to the improved interfacial properties. Further addition of GNP (0.50, and 0.75 wt.%) has declined the ILSS ofthe laminated composites due to aggregation and overlapping of GNP. XRD analysis reveals that at 0.25 wt.% of GNP, all thehybrid composites exhibited higher crystallinity index. Statistical analysis of the results has been performed using one way-ANOVA (Analysis of variance) and it shows that there is a statistically significant difference between the obtainedinterlaminar shear strength of the laminated composites.

      • Attention-Controlled Working Memory Measures to Assess Listening Effort

        Jeffrey J. DiGiovanni,Travis L. Riffle,Naveen K. Nagaraj 한국언어재활사협회 2017 Clinical Archives of Communication Disorders Vol.2 No.2

        Purpose: To assess working memory (WM) performance using novel tasks that included controlled-attention functions of updating of information, selective attention, task monitoring, and multiple task coordination as well as relating performance to perceived listening effort. Methods: Sixteen adults with normal hearing participated in two tasks:1) the attention switching (AS) task that required participants to categorize digits rapidly and recall totals of each category and 2) the working memory span task (WMST) that involved storing and recalling digits while performing a secondary sentence verification task. Each experiment was conducted in quiet and in multi-talker babble. Results: In the AS task, performance was worse when noise was added and when digit categories changed. In the WMST, digit recall accuracy was worse in noise, but reaction times (RTs) were not affected. Conclusions: The results of this experiment show that accuracy and RT performance on auditory cognitive tasks generally worsens in background noise, even when intelligibility remains high. This suggests that background noise increases WM load and the decline in performance can be interpreted as an increase in listening effort. The specific integration of attentional control in these tasks, especially the AS task, may 1) have increased the sensitivity over traditional WM tasks and 2) allow for the ability to differentiate between peripheral and central mechanisms.

      • Bayesian Coalition Negotiation Game as a Utility for Secure Energy Management in a Vehicles-to-Grid Environment

        Kumar, Neeraj,Misra, Sudip,Chilamkurti, Naveen,Jong-Hyouk Lee,Rodrigues, Joel J. P. C. IEEE 2016 IEEE transactions on dependable and secure computi Vol.13 No.1

        <P>In recent times, Plug-in Electric Vehicles (PEVs) have emerged as a new alternative to increase the efficiency of smart grids (SGs) in a vehicles-to-grid (V2G) environment. The V2G environment provides a bidirectional power and information flow, so that users can have an optimized usage as per their requirements. However, uncontrolled and unmanaged power distribution may lead to an overall performance degradation in V2G environment. One reason for this uncontrolled and unmanaged flow may be due to the usage of power by unauthorized users. To address this issue, we propose a Bayesian Coalition Negotiation Game (BCNG) as a utility for secure energy management for PEVs in the V2G environment. We have used a BCNG along with Learning Automata (LA), wherein LA are stationed on PEVs and are assumed as the players in the game. To provide an approach based on resilience for any misuse of electricity consumption, a new Secure Payoff Function (SPF) is proposed. The players take actions and update their action probability vector using the SPF. A Nash Equilibrium (NE) is also achieved in the game using convergence theory. Our proposal is evaluated with various metrics. The proposed scheme also provides mutual authentication and resilience against various attacks during power distribution.</P>

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