1,285 research outputs found
Some intriguing properties of Tukey's half-space depth
For multivariate data, Tukey's half-space depth is one of the most popular
depth functions available in the literature. It is conceptually simple and
satisfies several desirable properties of depth functions. The Tukey median,
the multivariate median associated with the half-space depth, is also a
well-known measure of center for multivariate data with several interesting
properties. In this article, we derive and investigate some interesting
properties of half-space depth and its associated multivariate median. These
properties, some of which are counterintuitive, have important statistical
consequences in multivariate analysis. We also investigate a natural extension
of Tukey's half-space depth and the related median for probability
distributions on any Banach space (which may be finite- or
infinite-dimensional) and prove some results that demonstrate anomalous
behavior of half-space depth in infinite-dimensional spaces.Comment: Published in at http://dx.doi.org/10.3150/10-BEJ322 the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm
Birth and Death of Chimera: Interplay of Delay and Multiplexing
The chimera state with co-existing coherent-incoherent dynamics has recently
attracted a lot of attention due to its wide applicability. We investigate
non-locally coupled identical chaotic maps with delayed interactions in the
multiplex network framework and find that an interplay of delay and
multiplexing brings about an enhanced or suppressed appearance of chimera state
depending on the distribution as well as the parity of delay values in the
layers. Additionally, we report a layer chimera state with an existence of one
layer displaying coherent and another layer demonstrating incoherent dynamical
evolution. The rich variety of dynamical behavior demonstrated here can be used
to gain further insight into the real-world networks which inherently possess
such multi-layer architecture with delayed interactions
Algorithms for Fast Aggregated Convergecast in Sensor Networks
Fast and periodic collection of aggregated data
is of considerable interest for mission-critical and continuous
monitoring applications in sensor networks. In the many-to-one
communication paradigm, referred to as convergecast, we focus
on applications wherein data packets are aggregated at each hop
en-route to the sink along a tree-based routing topology, and
address the problem of minimizing the convergecast schedule
length by utilizing multiple frequency channels. The primary
hindrance in minimizing the schedule length is the presence of
interfering links. We prove that it is NP-complete to determine
whether all the interfering links in an arbitrary network can
be removed using at most a constant number of frequencies.
We give a sufficient condition on the number of frequencies for
which all the interfering links can be removed, and propose a
polynomial time algorithm that minimizes the schedule length
in this case. We also prove that minimizing the schedule length
for a given number of frequencies on an arbitrary network is
NP-complete, and describe a greedy scheme that gives a constant
factor approximation on unit disk graphs. When the routing tree
is not given as an input to the problem, we prove that a constant
factor approximation is still achievable for degree-bounded trees.
Finally, we evaluate our algorithms through simulations and
compare their performance under different network parameters
Flyash Geopolymer Concrete as Future Concrete
Demand for concrete as construction material is on the increase so as the production of cement. It is estimated that ~6-8% of total CO2 is generated from construction
industry. To reduce the concrete industryâs carbon footprint, blended cements are in use in the
market. The research trend is directed towards more eco-friendly concrete such as geopolymer. Recently the focus of research has been shifted on use of fly ash for
geopolymerisation. This is based on the alumino-silicate composition of fly ash, itâs easy availability, better flow ability and improved durability.
The chemical composition of geopolymer is similar to that of zeolite, but amorphous in microstructure. Flyash-based geopolymer concrete show excellent short and long-term
properties. The properties and uses of geopolymers are being explored in many scientiïŹc and industrial disciplines like modern inorganic chemistry, physical chemistry, colloid chemistry, mineralogy, geology, and in all types of engineering process technologies. The current paper
presents scope of flyash based geopolymer concrete as future concrete, summarizes and critically analyses the most important research ïŹndings
Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media
In the last decade, social media has evolved as one of the leading platform
to create, share, or exchange information; it is commonly used as a way for
individuals to maintain social connections. In this online digital world,
people use to post texts or pictures to express their views socially and create
user-user engagement through discussions and conversations. Thus, social media
has established itself to bear signals relating to human behavior. One can
easily design user characteristic network by scraping through someone's social
media profiles. In this paper, we investigate the potential of social media in
characterizing and understanding predominant drunk texters from the perspective
of their social, psychological and linguistic behavior as evident from the
content generated by them. Our research aims to analyze the behavior of drunk
texters on social media and to contrast this with non-drunk texters. We use
Twitter social media to obtain the set of drunk texters and non-drunk texters
and show that we can classify users into these two respective sets using
various psycholinguistic features with an overall average accuracy of 96.78%
with very high precision and recall. Note that such an automatic classification
can have far-reaching impact - (i) on health research related to addiction
prevention and control, and (ii) in eliminating abusive and vulgar contents
from Twitter, borne by the tweets of drunk texters.Comment: 6 pages, 8 Figures, ISCC 2018 Workshops - ICTS4eHealth 201
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