Indian Institute of Technology Palakkad&nbsp;(IIT Palakkad or IIT PKD) is a public autonomous&nbsp;engineering&nbsp;and&nbsp;research&nbsp;institute located in&nbsp;Palakkad,&nbsp;Kerala. It was&nbsp;one of the five new&nbsp;IITs&nbsp;proposed in the&nbsp;2014 Union budget of India. The campus was inaugurated on 3 August 2015. The institute has 94 faculty, 978 students, and 63 non-teaching staffs.

IT Palakkad currently offers four-year Bachelor of Technology (B.Tech) and two years MS programmes in 8 different engineering disciplines including&nbsp;Computer Science, Electrical, Mechanical, Civil among others.

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IIT Palakkad

The construction XORP (bitwise-xor of outputs of two independent n-bit random permutations) has gained broad attention over the last two decades due to its high security. Very recently, Dai et al. (CRYPTO’17), by using a method which they term the Chi-squared method (X2 method), have shown n-bit security of XORP when the underlying random permutations are kept secret to the adversary. In this work, we consider the case where the underlying random permutations are publicly available to the adversary. The best known security of XORP in this security game (also known as indifferentiable security) is 2n/3-bit, due to Mennink et al. (ACNS’15). Later, Lee (IEEE-IT’17) proved a better (k-1)n/k -bit security for the general construction XORP[k] which returns the xor of k (≥2) independent random permutations. However, the security was shown only for the cases where k is an even integer. In this paper, we improve all these known bounds and prove full, i.e., n-bit (indifferentiable) security of XORP as well as XORP[k] for any k. Our main result is n-bit security of XORP, and we use the X2 method to prove it. © International Association for Cryptologic Research 2018.

Department of Computer Science and Engineering

World University root node

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Full indifferentiable security of the Xor of two or more random permutations using the X2 method

We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials. Although this was a new task, we had a total of 26 submissions across 3 evaluation scenarios. We expect the task and the findings reported in this paper to be relevant for researchers working on understanding scientific content, as well as the broader knowledge base population and information extraction communities.

Department of Data Science

International Workshop on Semantic Evaluation

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Environmental Sciences and Sustainable Engineering Centre (ESSENCE)

Ui.Adsabs.Harvard.Edu

A coupled modeling system for studying the impacts of growing biofuel crops in marginal lands on the food-energy-water nexus

Magnetic Resonance Imaging (MRI) is a widely applied non-invasive imaging modality based on non-ionizing radiation which gives excellent images and soft tissue contrast of living tissues. We consider the modified Bloch problem as a model of MRI for flowing spins in an incompressible flow field. After establishing the well-posedness of the corresponding evolution problem, we analyze its spatial semi-discretization using discontinuous Galerkin methods. The high frequency time evolution requires a proper explicit and adaptive temporal discretization. The applicability of the approach is shown for basic examples. © 2017 IMACS

Department of Mechanical Engineering

Fulltext

Applied Numerical Mathematics

Numerical simulation of Bloch equations for dynamic magnetic resonance imaging

In [12], it was shown that a generalized maximum likelihood estimation problem on a (canonical) \alpha -power-law model (\mathbb{M}^{(\alpha)} -family) can be solved by solving a system of linear equations. This was due to an orthogonality relationship between the \mathbb{M}^{(\alpha)} -family and a linear family with respect to the relative \alpha -entropy (or the \mathscr{I}-{\alpha} -divergence). Relative \alpha -entropy is a generalization of the usual relative entropy (or the Kullback-Leibler divergence). \mathbb{M}^{(\alpha)} -family is a generalization of the usual exponential family. In this paper, we first generalize the \mathbb{M}^{(\alpha)}- family including the multivariate, continuous case and show that the Student-t distributions fall in this family. We then extend the above stated result of [12] to the general \mathbb{M}^{(\alpha)} -family. Finally we apply this result to the Student-t distribution and find generalized estimators for its parameters.

Department of Mathematics

IEEE International Symposium on Information Theory - Proceedings

Generalized Estimating Equation for the Student-t Distributions

- A new motion control approach for an underwater robot with four tilting thrusters is proposed and investigated in this paper. The tilting thruster arrangement results in overactuated system which carries out six degree of freedom (DOF) motion with four rotatable thrusters. The dynamic model developed for the robot has a highly nonlinear thrust vector map because of tilting angles. Backstepping control, a non-linear control method is applied to this robot model for continuous tilting motion. The system stability is guaranteed, and the tracking errors asymptotically converge to zero by Lyapunov stability theory. Finally, numerical simulations illustrate the performance of the derived cascaded tracking control technique. © ICROS.

International Conference on Control, Automation and Systems

Design and Implementation of Backstepping Controller for Tilting Thruster Underwater Robot

Department of Civil Engineering

National Conference On Prospects &Retrospect in Engineering Geology …

Numerical Study of the Cross Sectional Shape of Shallow Tunnels Subjected to Impact and Blast Loading

A multi-layer TiAlN/NbN coated on tungsten carbide insert by physical vapor deposition method (PVD) was selected for studying tool wear performance during end milling of AISI 304 Austenitic stainless steel. Stainless steel AISI 304 belongs to the class of difficult to machine materials, which tends to work harden during machining. The coating has been studied for its micro-mechanical characteristics using SEM/EDS, XRD, 3D confocal microscope & Nano indentation. Characterization results revealed that TiAlN/NbN coatings was well deposited. Dry milling experiments were carried out to evaluate tool life & failure mechanisms of coated tool. It was shown that micro chipping and peeling of coatings were major wear mechanisms observed during dry end milling of AISI 304 using coated inserts. © 2017 Elsevier Ltd. All rights reserved.

Materials Today: Proceedings

Micro-mechanical characterization and wear performance of TiAlN/NbN PVD coated carbide inserts during End milling of AISI 304 Austenitic Stainless Steel

The mechanical properties of hardened AISI 52100 bearing steel such as flexural strength, microhardness and Young’s modulus are considerably influenced by the austenite content retained in the microstructure. A microstructure-sensitive finite element simulation approach is presented which considers the effect of retained austenite to estimate the mechanical properties. The austenite grain size is derived as a function of austenitising temperature and holding time using a modified Arrhenius type equation. The simulation strategy involves division of the two-dimensional domain using triangular elements such that a group of six neighbouring triangular elements represented a hexagonal grain of calculated size. Material inhomogeneity is introduced by enforcing austenite properties to a fraction of the elements equal to the volume percent of retained austenite in the steel. The predictions from the simulation approach for 8% and 20% retained austenite volume fractions matched well with earlier experimental results. © 2015, © IMechE 2015.

Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Modelling the mechanical behaviour of heat-treated AISI 52100 bearing steel with retained austenite

The vibration characteristics of the gear system change when gear tooth crack occurs during operating conditions and the system has to be monitored continuously to prevent the damage. A tooth crack model is developed with the mean gear mesh stiffness for external spur gear pair with different crack propagating lengths. Here, potential energy is used to obtain the analytical expression for the mean gear mesh stiffness and mean mesh stiffness with crack is incorporated into the wind turbine gear box and the dynamic analysis is performed with and without crack. The loads acting on the wind turbine drive train considered here are random in nature. The responses of wind turbine drive train in time and frequency domain are used to study the effects of gear tooth crack. The results showed the sidebands at tooth defective frequency in frequency domain and are found to be more sensitive than the gear mesh frequency and its harmonics. Hence the developed crack model is able to predict the presence of gear tooth crack in vibration response. © Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.

Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics