Search for highly spin polarized quaternary Heusler alloys

Thesis (Ph. D. in Engineering)--University of Tsukuba, (A), no. 5652, 2011.3.25Includes bibliographical reference

A Novel Approach to Communicate Secret Message Between Users Using Sponge Function Technique on NTRU

This paper presents a novel approach for a (key distribution) for secret message communication among a group (G). In order to increase security to distribute secret message (key), we introduce sponge functions using these at a specific permutation. We generate a key and distribute this key using (PKCS)(public key crypto systems), the absorbing, squeezing functions are used. In this paper an introduction part which briefs regarding sponge functions, key distribution centre, group communication and NTRU, key generation authentication, in literature review we describe about the research states of sponge functions, lightweight hash functions-KDC – NTRU. In proposed work we propose how the group communication establishes registration of users, entry and exit of a user. The encryption and decryption algorithm are used between sender and receiver. The entire proposed work is verified in VHDL and ‘MATLABS'. doi: http://dx.doi.org/10.12777/ijse.4.2.2013.44-51 [How to cite this article: Varaprasad, S., Rao, K. V., & Avadhani, P. S. (2013). A Novel Approach to Communicate Secret Message between Users Using Sponge Function Technique on NTRU. INTERNATIONAL JOURNAL OF SCIENCE AND ENGINEERING, 4(2), 44-51; doi: http://dx.doi.org/10.12777/ijse.4.2.2013.44-51

Effect of Troposphere and Ionosphere on C-Band Radar Track Data and Correction of Tracking Parameters

At any launch base radar tracking is critical for assessing the state of the launch vehicle for range safety function as well as for trajectory monitoring. Tracking data corrected for refraction effects is essential for estimating the flight performance. This paper presents the refraction effects of troposphere and ionosphere on the radio waves of C-Band radars in terms of errors in the measured tracking parameters. Application of mapping functions for correcting refraction errors in C-Band radar track data is studied and a comparison of the performance of mapping functions is presented. The mapping functions not only show good convergence at low elevations but also correct around 90 per cent of the refraction error in elevation.Defence Science Journal, 2012, 62(6), pp.420-426, DOI:http://dx.doi.org/10.14429/dsj.62.116

First report of the lesion nematode Pratylenchus brachyurus on groundnut in India.

In India information on nematode pests of groundnut and their damage is very scanty and is largely restricted to root-knot nematodes, Meloidogyne fa vanica and M. arenaria, and stunt nematode, Tylenchorhynchus brevilineatus. In 1987 and 1988, we conducted preliminary surveys in some groundnut producing regions of Andhra Pradesh,....

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier

Structural alterations have been thoroughly investigated in the brain during the early onset of schizophrenia (SCZ) with the development of neuroimaging methods. The objective of the paper is an efficient classification of SCZ in 2 different classes: Cognitive Normal (CN), and SCZ using magnetic resonance imaging (MRI) images. This paper proposed a lightweight 3D convolutional neural network (CNN) based framework for SCZ diagnosis using MRI images. In the proposed model, lightweight 3D CNN is used to extract both spatial and spectral features simultaneously from 3D volume MRI scans, and classification is done using an ensemble bagging classifier. Ensemble bagging classifier contributes to preventing overfitting, reduces variance, and improves the model's accuracy. The proposed algorithm is tested on datasets taken from three benchmark databases available as open-source: MCICShare, COBRE, and fBRINPhase-II. These datasets have undergone preprocessing steps to register all the MRI images to the standard template and reduce the artifacts. The model achieves the highest accuracy 92.22%, sensitivity 94.44%, specificity 90%, precision 90.43%, recall 94.44%, F1-score 92.39% and G-mean 92.19% as compared to the current state-of-the-art techniques. The performance metrics evidenced the use of this model to assist the clinicians for automatic accurate diagnosis of SCZ

All-optical control of ferromagnetic thin films and nanostructures

The interplay of light and magnetism has been a topic of interest since the original observations of Faraday and Kerr where magnetic materials affect the light polarization. While these effects have historically been exploited to use light as a probe of magnetic materials there is increasing research on using polarized light to alter or manipulate magnetism. For instance deterministic magnetic switching without any applied magnetic fields using laser pulses of the circular polarized light has been observed for specific ferrimagnetic materials. Here we demonstrate, for the first time, optical control of ferromagnetic materials ranging from magnetic thin films to multilayers and even granular films being explored for ultra-high-density magnetic recording. Our finding shows that optical control of magnetic materials is a much more general phenomenon than previously assumed. These results challenge the current theoretical understanding and will have a major impact on data memory and storage industries via the integration of optical control of ferromagnetic bits.Comment: 21 pages, 11 figure

REFU: Redundant Execution with Idle Functional Units, Fault Tolerant GPGPU architecture

The General-Purpose Graphics Processing Units (GPGPU) with energy efficient execution are increasingly used in wide range of applications due to high performance. These GPGPUs are fabricated with the cutting-edge technologies. Shrinking transistor feature size and aggressive voltage scaling has increased the susceptibility of devices to intrinsic and extrinsic noise leading to major reliability issues in the form of the transient faults. Therefore, it is essential to ensure the reliable operation of the GPGPUs in the presence of the transient faults. GPGPUs are designed for high throughput and execute the multiple threads in parallel, that brings a new challenge for the fault detection with minimum overheads across all threads. This paper proposes a new fault detection method called REFU, an architectural solution to detect the transient faults by temporal redundant re-execution of instructions using the idle functional execution units of the GPGPU. The performance of the REFU is evaluated with standard benchmarks, for fault free run across different workloads REFU shows mean performance overhead of 2%, average power overhead of 6%, and peak power overhead of 10%