5,702 research outputs found
How Resilient Are Our Societies? Analyses, Models, and Preliminary Results
Traditional social organizations such as those for the management of
healthcare and civil defence are the result of designs and realizations that
matched well with an operational context considerably different from the one we
are experiencing today: A simpler world, characterized by a greater amount of
resources to match less users producing lower peaks of requests. The new
context reveals all the fragility of our societies: unmanageability is just
around the corner unless we do not complement the "old recipes" with smarter
forms of social organization. Here we analyze this problem and propose a
refinement to our fractal social organizations as a model for resilient
cyber-physical societies. Evidence to our claims is provided by simulating our
model in terms of multi-agent systems.Comment: Paper submitted for publication in the Proc. of SERENE 2015
(http://serene.disim.univaq.it/2015/
Towards a Smarter organization for a Self-servicing Society
Traditional social organizations such as those for the management of
healthcare are the result of designs that matched well with an operational
context considerably different from the one we are experiencing today. The new
context reveals all the fragility of our societies. In this paper, a platform
is introduced by combining social-oriented communities and complex-event
processing concepts: SELFSERV. Its aim is to complement the "old recipes" with
smarter forms of social organization based on the self-service paradigm and by
exploring culture-specific aspects and technological challenges.Comment: Final version of a paper published in the Proceedings of
International Conference on Software Development and Technologies for
Enhancing Accessibility and Fighting Info-exclusion (DSAI'16), special track
on Emergent Technologies for Ambient Assisted Living (ETAAL
On multifractals: a non-linear study of actigraphy data
This work aimed, to determine the characteristics of activity series from
fractal geometry concepts application, in addition to evaluate the possibility
of identifying individuals with fibromyalgia. Activity level data were
collected from 27 healthy subjects and 27 fibromyalgia patients, with the use
of clock-like devices equipped with accelerometers, for about four weeks, all
day long. The activity series were evaluated through fractal and multifractal
methods. Hurst exponent analysis exhibited values according to other studies
() for both groups ( for healthy subjects and
for fibromyalgia patients), however, it is not possible to
distinguish between the two groups by such analysis. Activity time series also
exhibited a multifractal pattern. A paired analysis of the spectra indices for
the sleep and awake states revealed differences between healthy subjects and
fibromyalgia patients. The individuals feature differences between awake and
sleep states, having statistically significant differences for in healthy subjects () and for patients with
fibromyalgia (). The approach has proven to be an option on the
characterisation of such kind of signals and was able to differ between both
healthy and fibromyalgia groups. This outcome suggests changes in the
physiologic mechanisms of movement control.Comment: Preprint accepted for publication at Physica A: Statistical Mechanics
and its Application
Towards Fractal Approach in Healthcare Information Systems: A Review
Recently, traditional information systems need adaption capabilities in order to overcome modifications and maintains of external environment. For that, researchers proposed many solutions from the Fractal method to improve the flexibility and quick adaptive of the system. Computer Information System, as widely used systems, needs modifications and adaptations to real changes. The most important action is to circulate and updating new data and information among the hosts in agent-based information systems. This paper presents the review of using features of fractal method to solve many problems in different fields. The  paper is also suggesting employing fractal features for improving the flexibility and adaption of Healthcare Information System (HIS)
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