244 research outputs found
Surfactant Assisted Autocombustion Synthesis Of Bismuth Ferrite
In this work, bismuth ferrite powders has been synthesized by glycine nitrate auto-combustion method with addition of ammonium lauryl sulfate (anionic) and triton-X (non-ionic) surfactant. The precursor solutions were prepared from ferric and nickel nitrates. The effects of the surfactant on crystallite size has been investigated by XRD techniques. The results showed that addition of surfactant to the starting solution affected the crystallite size in the final produc
Feature Level Fusion of Face and Fingerprint Biometrics
The aim of this paper is to study the fusion at feature extraction level for
face and fingerprint biometrics. The proposed approach is based on the fusion
of the two traits by extracting independent feature pointsets from the two
modalities, and making the two pointsets compatible for concatenation.
Moreover, to handle the problem of curse of dimensionality, the feature
pointsets are properly reduced in dimension. Different feature reduction
techniques are implemented, prior and after the feature pointsets fusion, and
the results are duly recorded. The fused feature pointset for the database and
the query face and fingerprint images are matched using techniques based on
either the point pattern matching, or the Delaunay triangulation. Comparative
experiments are conducted on chimeric and real databases, to assess the actual
advantage of the fusion performed at the feature extraction level, in
comparison to the matching score level.Comment: 6 pages, 7 figures, conferenc
Strengthening of High-Alloy Steel through Innovative Heat Treatment Routes
Heat treatment route is an important route for the development of high-strength alloy steel. Many heat treatment processes are applied depending on alloy compositions and desired mechanical properties. There are various high-strength alloy steels, namely, austenitic stainless steel (16–26 wt%Cr, 0.07–0.15 wt%C, 8–10 wt%Ni, rest Fe), where the heat treatment adopted is the low-temperature plasma nitriding so as to achieve a strength in a range of 800–1000 MPa. In twinning-induced plasticity (TWIP) steel (>20 wt%Mn, <1 wt%C, <3 wt%Si, <3 wt%Al, rest Fe), high-temperature thermomechanical heat treatment provides a strength greater than 1000 MPa. High-speed steel (18 wt%W, 4 wt%Cr, 1 wt%V, 0.7 wt%C, 5–8 wt%Co, rest Fe) suits best for high-speed machining purpose, owing to secondary hardening. Besides, high-temperature annealing is performed with majorly ferritic structure to achieve a maximum bending strength of 4700 MPa. Furthermore, in Hadfield steel (11–14 wt%Mn, 1–1.4 wt%C), a fully austenitic phase is obtained with a strength level of 1000 MPa. High-alloy tool steel (5 wt%Mo, 6 wt%W, 4 wt%Cr, 0.3 wt%Si, 1 wt%V, rest Fe) is provided with austenitizing, quenching, and tempering treatment to achieve a maximum hardness of 1200–1400 HV
Ear Identification by Fusion of Segmented Slice Regions using Invariant Features: An Experimental Manifold with Dual Fusion Approach
This paper proposes a robust ear identification system which is developed by
fusing SIFT features of color segmented slice regions of an ear. The proposed
ear identification method makes use of Gaussian mixture model (GMM) to build
ear model with mixture of Gaussian using vector quantization algorithm and K-L
divergence is applied to the GMM framework for recording the color similarity
in the specified ranges by comparing color similarity between a pair of
reference ear and probe ear. SIFT features are then detected and extracted from
each color slice region as a part of invariant feature extraction. The
extracted keypoints are then fused separately by the two fusion approaches,
namely concatenation and the Dempster-Shafer theory. Finally, the fusion
approaches generate two independent augmented feature vectors which are used
for identification of individuals separately. The proposed identification
technique is tested on IIT Kanpur ear database of 400 individuals and is found
to achieve 98.25% accuracy for identification while top 5 matched criteria is
set for each subject.Comment: 12 pages, 3 figure
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