1,144 research outputs found

    Face Recognition using Fused Diagonal and Matrix Features

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    Face recognition with less information availability in terms of the number of image samples is a challenging task A simple and efficient method for face recognition is proposed in this paper to address small sample size problem and rotation variation of input images The robert s operator is used as edge detection method to elicit borders to crop the facial part and then all cropped images are resized to a uniform 50 50 size to complete the preprocessing step Preprocessed test images are rotated in different angles to check the robustness of proposed algorithm All preprocessed images are partitioned into one hundred 5 5 equal size parts The matrix 2-norm infinite norm trace and rank are elicited for each of 5 5 part and respectively averaged to yield on hundred matrix features Another one hundred diagonal features are extracted by applying a 3 3 mask on each image Final one hundred features are obtained by fusing averaged matrix and diogonal features Euclidian distance measure is used for comparision of database and query image features The results are comparitively better on three publically availabe datasets compared to existing method

    Progress and prospects in the quantum anomalous Hall effect

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    The quantum anomalous Hall effect refers to the quantization of Hall effect in the absence of applied magnetic field. The quantum anomalous Hall effect is of topological nature and well suited for field-free resistance metrology and low-power information processing utilizing dissipationless chiral edge transport. In this Perspective, we provide an overview of the recent achievements as well as the materials challenges and opportunities, pertaining to engineering intrinsic/interfacial magnetic coupling, that are expected to propel future development of the field.Comment: Invited for APL Materials, Special Topic - Materials Challenges and Synthesis Science of Emerging Quantum Material

    Multi Spectral Band Selective Coding for Medical Image Compression

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    Medical image compression has recently evolved as an area of research for progressive transmission The distance based medical diagnosis demands for high quality imaging at faster data transfer rate As the information s are highly informative each pixel information defines a sample observation Hence the coding in medical diagnosis need to be of higher accuracy than conventional image coding In the approach of image coding multi spectral coding is developed as new coding approach to achieve the objective of higher visualization accuracy With this observation in this paper a multi spectral coding using multi wavelet transformation is developed The multi spectral coding is improved by a band selective approach using inter band correlation factor The evaluation factors for such a coding technique are observed to be improved over conventional multi-spectral codin

    Independent tuning of electronic properties and induced ferromagnetism in topological insulators with heterostructure approach

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    The quantum anomalous Hall effect (QAHE) has been recently demonstrated in Cr- and V-doped three-dimensional topological insulators (TIs) at temperatures below 100 mK. In those materials, the spins of unfilled d-electrons in the transition metal dopants are exchange coupled to develop a long-range ferromagnetic order, which is essential for realizing QAHE. However, the addition of random dopants does not only introduce excess charge carriers that require readjusting the Bi/Sb ratio, but also unavoidably introduces paramagnetic spins that can adversely affect the chiral edge transport in QAHE. In this work, we show a heterostructure approach to independently tune the electronic and magnetic properties of the topological surface states in (BixSb1-x)2Te3 without resorting to random doping of transition metal elements. In heterostructures consisting of a thin (BixSb1-x)2Te3 TI film and yttrium iron garnet (YIG), a high Curie temperature (~ 550 K) magnetic insulator, we find that the TI surface in contact with YIG becomes ferromagnetic via proximity coupling which is revealed by the anomalous Hall effect (AHE). The Curie temperature of the magnetized TI surface ranges from 20 to 150 K but is uncorrelated with the Bi fraction x in (BixSb1-x)2Te3. In contrast, as x is varied, the AHE resistivity scales with the longitudinal resistivity. In this approach, we decouple the electronic properties from the induced ferromagnetism in TI. The independent optimization provides a pathway for realizing QAHE at higher temperatures, which is important for novel spintronic device applications.Comment: Accepted by Nano Letter

    Absence of Magnetic Fluctuations in the Ferromagnetic/Topological Heterostructure EuS/Bi2_{2}Se3_{3}

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    Heterostructures of topological insulators and ferromagnets offer new opportunities in spintronics and a route to novel anomalous Hall states. In one such structure, EuS/Bi2_{2}Se3_{3} a dramatic enhancement of the Curie temperature was recently observed. We performed Raman spectroscopy on a similar set of thin films to investigate the magnetic and lattice excitations. Interfacial strain was monitored through its effects on the Bi2_{2}Se3_{3} phonon modes while the magnetic system was probed through the EuS Raman mode. Despite its appearance in bare EuS, the heterostructures lack the corresponding EuS Raman signal. Through numerical calculations we rule out the possibility of Fabry-Perot interference suppressing the mode. We attribute the absence of a magnetic signal in EuS to a large charge transfer with the Bi2_{2}Se3_{3}. This could provide an additional pathway for manipulating the magnetic, optical, or electronic response of topological heterostructures.Comment: 6 pages, 3 figure

    Spatially modulated magnetic structure of EuS due to the tetragonal domain structure of SrTiO3_3

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    The combination of ferromagnets with topological superconductors or insulators allows for new phases of matter that support excitations such as chiral edge modes and Majorana fermions. EuS, a wide-band-gap ferromagnetic insulator with a Curie temperature around 16 K, and SrTiO3_3 (STO), an important substrate for engineering heterostructures, may support these phases. We present scanning superconducting quantum interference device (SQUID) measurements of EuS grown epitaxially on STO that reveal micron-scale variations in ferromagnetism and paramagnetism. These variations are oriented along the STO crystal axes and only change their configuration upon thermal cycling above the STO cubic-to-tetragonal structural transition temperature at 105 K, indicating that the observed magnetic features are due to coupling between EuS and the STO tetragonal structure. We speculate that the STO tetragonal distortions may strain the EuS, altering the magnetic anisotropy on a micron-scale. This result demonstrates that local variation in the induced magnetic order from EuS grown on STO needs to be considered when engineering new phases of matter that require spatially homogeneous exchange

    NIT COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets

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    This paper presents the model submitted by the NIT_COVID-19 team for identified informative COVID-19 English tweets at WNUT-2020 Task2. This shared task addresses the problem of automatically identifying whether an English tweet related to informative (novel coronavirus) or not. These informative tweets provide information about recovered, confirmed, suspected, and death cases as well as the location or travel history of the cases. The proposed approach includes pre-processing techniques and pre-trained RoBERTa with suitable hyperparameters for English coronavirus tweet classification. The performance achieved by the proposed model for shared task WNUT 2020 Task2 is 89.14% in the F1-score metric.Comment: 5 pages, one figures, conferenc

    Randomised prospective comparative analysis of functional outcome of osteosynthesis of intra-articular distal humerus fracture using triceps reflecting and transolecrenon approach

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    Background: Intra articular fractures of distal humerus is one of the demanding injuries to manage due to its complex anatomy. Open reduction internal fixation is able to achieve painless, stable and mobile joint. This study is aimed at comparing functional outcome of patients treated with triceps reflecting and olecranon osteotomy approach.Methods: A hospital based randomized comparative study of 40 patients who diagnosed with distal humerus intraarticular fracture admitted in our hospital from April 2017 to March 2019. Triceps reflecting approach (group A) was used in 20 patients and olecranon osteotomy approach (group B) in 20 patients. Elbow range of movements and Mayo elbow performance score (MEPS) was used to compare outcome.Results: The mean elbow range of motion is 95.8±13.5 degree at 1 year follow up in group A and 94.5±9.3 degree in 1 year follow up at 1 year follow up in group B. The mean MEP score at end of 1 year in group A was 93.8±2.9 and in group B was 91.5±3.2 shows excellent results but there was no statistically significant difference between MEP scores of two groups. We observed 6 patients developed extension lag less than 10 degree in group A which was clinically insignificant to patients and 7 patients developed hardware prominence in group B.Conclusions: Triceps reflecting Bryan Morrey approach is equally effective as olecranon osteotomy approach in treatment of distal humerus intra articular fracture with less complication and operative time
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