3,177 research outputs found
Unifying Multiple Knowledge Domains Using the ARTMAP Information Fusion System
Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present paper addresses the problem of integrating two or more independent knowledge hierarchies based on the same low-level classes. The new system fuses independent domains into a unified knowledge structure, discovering cross-domain rules in this process. The system infers multi-level relationships among groups of output classes, without any supervised labeling of these relationships. In order to self-organize its expert system, ARTMAP information fusion system features distributed code representations that exploit the neural network’s capacity for one-to-many learning. The fusion system software and testbed datasets are available from http://cns.bu.edu/techlabNational Science Foundation (SBE-0354378); National Geospatial-Intelligence Agency (NMA 201-01-1-2016
Searching the Sky with CONFIGR-STARS
SyNAPSE program of the Defense Advanced Projects Research Agency (HRL Laboratories LLC, subcontract #801881-BS under DARPA prime contract HR0011-09-C-0001); CELEST, a National Science Foundation Science of Learning Center (SBE-0354378)CONFIGR-STARS, a new methodology based on a model of the human visual system, is developed for registration of star images. The algorithm first applies CONFIGR, a neural model that connects sparse and noisy image components. CONFIGR produces a web of connections between stars in a reference starmap or in a test patch of unknown location. CONFIGR-STARS splits the resulting, typically highly connected, web into clusters, or "constellations." Cluster geometry is encoded as a signature vector that records edge lengths and angles relative to the cluster’s baseline edge. The location of a test patch cluster is identified by comparing its signature to signatures in the codebook of a reference starmap, where cluster locations are known. Simulations demonstrate robust performance in spite of image perturbations and omissions, and across starmaps from different sources and seasons. Further studies would test CONFIGR-STARS and algorithm variations applied to very large starmaps and to other technologies that may employ geometric signatures. Open-source code, data, and demos are available from http://techlab.bu.edu/STARS/
ENVIRONMENTAL ECOSYSTEM AND INDUSTRIAL POLLUTION AT THOOTHUKUDI DISTRICT, TAMILNADU
The focus of this paper is to investigate the environmental ecosystem in Thoothukudi district. The study area is the small and large scale industrial city of Tamilndu. Chemical industry and power plant and marine fishing affect the ecosystem of the study area. Airborne emissions emitted from various industries are the cause of major concern. These emissions are of two forms such as, suspended particulate matter (SPM) and gaseous emission of sulphur dioxide, nitrogen dioxide, and carbon monoxide. The emission of industrial and petrochemical ozone layer occurs in the part of stratosphere at 10- 50 km above the surface. The chlorofluorocarbons (CFC) process reducing the ocean layer thickness then allows the UV from the sun to affect human beings and ecosystem on the surface. The ozone absorbs the UV radiation without itself being consumed and the UV light converts into heat due to the industrial pollution. In that case, there are increases of temperature with altitude because of by chemical factories. So that, giving inversion layer that traps molecules in the troposphere. The industrial pollution caused by chemicals, power and atomic waste used to affect the ecosystem in the industrial city of Thoothukudi
Resummed prediction for Higgs boson production through annihilation at NLL
We present an accurate theoretical prediction for the production of Higgs
boson through bottom quark annihilation at the LHC up to
next-to-next-to-next-to leading order (NLO) plus
next-to-next-to-next-to-leading logarithmic (NLL) accuracy. We determine
the third order perturbative Quantum Chromodynamics (QCD) correction to the
process dependent constant in the resummed expression using the three loop
bottom quark form factor and third order quark soft distribution function.
Thanks to the recent computation of NLO corrections to this production
cross-section from all the partonic channels, an accurate matching can be
obtained for a consistent predictions at NLO+NLL accuracy in QCD. We
have studied in detail the impact of resummed threshold contributions to
inclusive cross-sections at various centre-of-mass energies and also discussed
their sensitivity to renormalization and factorization scales at
next-to-next-to leading order (NNLO) matched with next-to-next-to leading
logarithm (NNLL). At NLO+NLL, we predict the cross-section for
different centre-of-mass energies using the recently available results in
\cite{Duhr:2019kwi} as well as study the renormalization scale dependence at
the same order.Comment: 19 pages, 4 figures, 2 table
Stroke Prediction from Hypertensive Retinopathy
Hypertensive Retinopathy (HR) is known as the damage to the eye which occurs due
to high blood pressure. This HR may lead to permanent vision lost hence timely
diagnosis and treatment of this disease is very important. Fundus image analysis is
used to diagnose HR and stroke prediction. There are four steps in the proposed
systems which are the Image Enhancement, Fourier Fractal Dimension, Logistic
Regression Classifier and Stroke Prediction Model. The proposed system consists of
method used to analyse retina blood vessels using Fourier Fractal Dimension to
extract the complexity of the retina blood vessels enhanced in different scales.
Logistic regression was used to model the classifier for stroke prediction. The
probability from 0 to 0.5 was classified as control case and the probability from 0.5
to 1 was classified as stroke case. From 20 images used in this project only 14
images was classified as the stroke case. The estimated percentage increase in the
odds of incident of stroke is calculated and categorised according to the Hypertensive
Retinopathy stages
Antioxidant potential of Indian medicinal plant in Phyllanthus amarus L. under supplementary UV-B radiation
The stratospheric ozone depletion and enhanced solar ultraviolet-B (UV-B) irradiance may have adverse impact on living organism. The impact of UV-B radiation (UV-B, 280~320nm) on growth, biochemical and antioxidant enzymes activity was studied in Phyllanthus amarus (L.) seedling, commonly used as a green manure. The supplementary UV-B radiation significantly decreased the growth, development and changes in UV-B absorbing compounds such as anthocyanin and flavonoids. The antioxidant enzymes were unaffected and showed an enhanced activities in peroxidase, superoxide dismutase, Polyphenoloxidase and phenylalanine ammonia- lyase except catalase in UV-B irradiated seedling. Phyllanthus amarus seedling tries to counteract high level of reactive oxygen species produce under UV-B stress through the increased activities of antioxidant enzyme. We suggest that Phyllanthus amarus is resistant against UV-B radiation damage and the possible negative effect of additional UV-B radiation on the growth of seedling may have been effectively balanced by the UV-B radiation stress through increase in UV absorbing compound and antioxidant enzymes
Antiferromagnetic vs ferromagnetic interactions and spin-glass-like behavior in ruthenates
We have made a series of gradient-corrected relativistic full-potential
density-functional calculation for Ca-substituted and hole-doped SrRuO in
para, ferro, and -, -, and -type antiferromagnetic states. Magnetic
phase-diagram data for SrCaRuO at 0 K are presented. Neutron
diffraction measurement combined with total energy calculations show that
spin-glass behavior with short-range antiferromagnetic interactions rules in
CaRuO. The substitution of Sr by Ca in SrRuO decreases the
ferromagnetic interaction and enhances the -type antiferromagnetic
interaction; the -AF state is found to stabilize around = 0.75
consistent with experimental observations. Inclusion of spin-orbit coupling is
found to be important in order to arrive at the correct magnetic ground state
in ruthenates.Comment: 5 pages, 3 figures. Solid state communications (in press
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