63,535 research outputs found
Geometry of -semi-invariant warped product submanifolds in paracosymplectic manifold
The purpose of this paper is to study -semi-invariant
warped product submanifolds of a paracosymplectic manifold . We
prove that the distributions associated with the definition of
-semi-invariant warped product submanifold are
always integrable. A necessary and sufficient condition for an isometrically
immersed -semi-invariant submanifold of
to be a -semi-invariant warped product submanifold is
obtained in terms of the shape operator.Comment: 15 pages. arXiv admin note: text overlap with arXiv:1510.0204
On the Generalized Class of -warped product submanifolds in para-K\"{a}hler Manifolds
In this paper, we study a new generalized class of
-warped product submanifolds under the name
-pseudo-slant warped product submanifolds in
para-K\"{a}hler manifolds . The results of existence and non-existence
for -pseudo-slant warped product submanifolds with
proper slant factor in are shown. In addition to these results, we
give an elementary illustration of such warped product submanifold in
.Comment: Welcome. arXiv admin note: text overlap with arXiv:1601.0171
-anti-slant warped product submanifold of a nearly paracosymplectic manifold
In this paper, we study -anti-slant warped product
submanifold of a nearly paracosymplectic manifold . The
necessary and sufficient condition is obtained for the distributions allied to
the characterization of a -anti-slant submanifold being
integrable and totally geodesic foliation. In addition, we have defined
-anti-slant warped product submanifold of
and gave some illustrations. Finally, we extracted the
constraints for a submanifold of to be a
-anti-slant warped product of the form
.Comment: Welcom
A Framework for Prefetching Relevant Web Pages using Predictive Prefetching Engine (PPE)
This paper presents a framework for increasing the relevancy of the web pages
retrieved by the search engine. The approach introduces a Predictive
Prefetching Engine (PPE) which makes use of various data mining algorithms on
the log maintained by the search engine. The underlying premise of the approach
is that in the case of cluster accesses, the next pages requested by users of
the Web server are typically based on the current and previous pages requested.
Based on same, rules are drawn which then lead the path for prefetching the
desired pages. To carry out the desired task of prefetching the more relevant
pages, agents have been introduced.Comment: 9 page
Optical band gap and associated band-tails in nanocrystalline AlN thin films grown by reactive IBSD at different substrate temperatures
AlN thin films have been grown on Si (100) substrates by reactive ion beam
sputter deposition (IBSD) at different substrate temperatures varying from room
temperature (RT) to 500oC. Substrate temperature induced microstructural
transition from amorphous at RT, nanocrystalline at 300oC to microcrystalline
at 400oC has been observed by Transmission Electron Microscopy (TEM). Average
surface roughness (Ra) and morphology has been explored by using Atomic Force
Microscopy (AFM). UV-VIS spectrophotometry has been employed to probe the
substrate temperature induced changes in optical band-gap (Eg) of grown thin
films in reflectance mode. It was found that Eg was increased from 5.08 to 5.21
eV as substrate temperature was increased from RT to 500oC. Urbach energy tail
(Eu) along with weak absorption tail (WAT) energy (Et) have been estimated to
account for the optical disorder which was found to decrease with associated
increase in Eg.Comment: 22 pages, 6 figures, 2table
Growth Kinetics of Ion Beam Sputtered Al-thin films by Dynamic Scaling Theory
This paper reports the study of growth kinetics of ion beam sputtered
aluminum thin films. Dynamic scaling theory was used to derive the kinetics
from AFM measurements. AFM imaging revealed that surface incorporates
distinctly different morphologies. Variation in deposition times resulted in
such distinctiveness. The growth governing static (alpha) as well as dynamic
(beta) scaling exponents have been determined. The exponent (alpha) decreased
as the deposition time increased from 3 to 15 minutes. Consequently, the
interfacial width (xi) also decreased with critical length (Lc), accompanied
with an increase in surface roughness. Surface diffusion becomes a major
surface roughening phenomenon that occurs during deposition carried out over a
short period of 3 minutes. Extension of deposition time to 15 minutes brought
in bulk diffusion process to dominate which eventually led to smoothening of a
continuous film
Nonfactorizable contributions to weak decays
We investigate nonfactorizable contributions to two-body hadronic decays of
the charmed mesons to a pseudoscalar meson and a vector meson in
Cabibbo-favored mode. Employing SU(3)-flavor symmetry for the nonfactorizable
matrix elements, we obtain branching ratios of the decays in consistent
agreement with experiment.Comment: Latex, 17 page
Agent Development Toolkits
Development of agents as well as their wide usage requires good underlying
infrastructure. Literature indicates scarcity of agent development tools in
initial years of research which limited the exploitation of this beneficial
technology. However, today a wide variety of tools are available, for
developing robust infrastructure. This technical note provides a deep overview
of such tools and contrasts features provided by them.Comment: Contains Seven pages, 2 Figures and One tabl
Making sense of randomness: an approach for fast recovery of compressively sensed signals
In compressed sensing (CS) framework, a signal is sampled below Nyquist rate,
and the acquired compressed samples are generally random in nature. However,
for efficient estimation of the actual signal, the sensing matrix must preserve
the relative distances among the acquired compressed samples. Provided this
condition is fulfilled, we show that CS samples will preserve the envelope of
the actual signal even at different compression ratios. Exploiting this
envelope preserving property of CS samples, we propose a new fast dictionary
learning (DL) algorithm which is able to extract prototype signals from
compressive samples for efficient sparse representation and recovery of
signals. These prototype signals are orthogonal intrinsic mode functions (IMFs)
extracted using empirical mode decomposition (EMD), which is one of the popular
methods to capture the envelope of a signal. The extracted IMFs are used to
build the dictionary without even comprehending the original signal or the
sensing matrix. Moreover, one can build the dictionary on-line as new CS
samples are available. In particularly, to recover first signals
() at the decoder, one can build the dictionary in just
operations, that is far less as compared to existing
approaches. The efficiency of the proposed approach is demonstrated
experimentally for recovery of speech signals.Comment: 6 page
Presence Factor-Oriented Blog Summarization
The research that has been carried out on blogs focused on blog posts only,
ignoring the title of the blog page. Also, in summarization only a set of
representative sentences are extracted. Some analysis has been done and it has
been found that the blog post contains the content that is likely to be related
to the topic of the blog post. Thus, proposed system of summarization makes use
of title contained in a blog page. The approach makes use of the Presence
factor that indicates the presence of each term of the title in each sentence
of the blog post. This is a key feature because it considers those sentences as
more relevant for summarization that contain each of the term present in the
title. The system has been implemented and evaluated experimentally. The system
has shown promising results.Comment: 8 page
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