pinecone/core-2020-05-10-deduplication huggingface dataset:
Lorentz breaking Effective Field Theory and observational tests

Analogue models of gravity have provided an experimentally realizable test
field for our ideas on quantum field theory in curved spacetimes but they have
also inspired the investigation of possible departures from exact Lorentz
invariance at microscopic scales. In this role they have joined, and sometime
anticipated, several quantum gravity models characterized by Lorentz breaking
phenomenology. A crucial difference between these speculations and other ones
associated to quantum gravity scenarios, is the possibility to carry out
observational and experimental tests which have nowadays led to a broad range
of constraints on departures from Lorentz invariance. We shall review here the
effective field theory approach to Lorentz breaking in the matter sector,
present the constraints provided by the available observations and finally
discuss the implications of the persisting uncertainty on the composition of
the ultra high energy cosmic rays for the constraints on the higher order,
analogue gravity inspired, Lorentz violations.Comment: 47 pages, 4 figures. Lecture Notes for the IX SIGRAV School on
  "Analogue Gravity", Como (Italy), May 2011. V.3. Typo corrected, references
  adde
Survey of analogue spacetimes

Analogue spacetimes, (and more boldly, analogue models both of and for
gravity), have attracted significant and increasing attention over the last
decade and a half. Perhaps the most straightforward physical example, which
serves as a template for most of the others, is Bill Unruh's model for a dumb
hole, (mute black hole, acoustic black hole), wherein sound is dragged along by
a moving fluid --- and can even be trapped behind an acoustic horizon. This and
related analogue models for curved spacetimes are useful in many ways: Analogue
spacetimes provide general relativists with extremely concrete physical models
to help focus their thinking, and conversely the techniques of curved spacetime
can sometimes help improve our understanding of condensed matter and/or optical
systems by providing an unexpected and countervailing viewpoint. In this
introductory chapter, I shall provide a few simple examples of analogue
spacetimes as general background for the rest of the contributions.Comment: V1: 25 pages. Draft of a chapter submitted to the proceedings of the
  IX'th SIGRAV graduate school: Analogue Gravity, Lake Como, Italy, May 2011.
  V2: 7 additional reference
Cosmological particle creation in the lab?

One of the most striking examples for the production of particles out of the
quantum vacuum due to external conditions is cosmological particle creation,
which is caused by the expansion or contraction of the Universe. Already in
1939, Schr\"odinger understood that the cosmic evolution could lead to a mixing
of positive and negative frequencies and that this "would mean production or
annihilation of matter, merely by the expansion". Later this phenomenon was
derived via more modern techniques of quantum field theory in curved
space-times by Parker (who apparently was not aware of Schr\"odinger's work)
and subsequently has been studied in numerous publications. Even though
cosmological particle creation typically occurs on extremely large length
scales, it is one of the very few examples for such fundamental effects where
we actually may have observational evidence: According to the inflationary
model of cosmology, the seeds for the anisotropies in the cosmic microwave
background (CMB) and basically all large scale structures stem from this
effect. In this Chapter, we shall provide a brief discussion of this phenomenon
and sketch a possibility for an experimental realization via an analogue in the
laboratory
Irrotational, two-dimensional Surface waves in fluids

The equations for waves on the surface of an irrotational incompressible
fluid are derived in the coordinates of the velocity potential/stream function.
The low frequency shallow water approximation for these waves is derived for a
varying bottom topography. Most importantly, the conserved norm for the surface
waves is derived, important for quantisation of these waves and their use in
analog models for black holes.Comment: 14 pages. To appear in Analog Gravity-- Proceedings of the Como
  Summer School 2011 ed D. Faccio et al, Springer-Vela
The Cerenkov effect revisited: from swimming ducks to zero modes in
  gravitational analogs

We present an interdisciplinary review of the generalized Cerenkov emission
of radiation from uniformly moving sources in the different contexts of
classical electromagnetism, superfluid hydrodynamics, and classical
hydrodynamics. The details of each specific physical systems enter our theory
via the dispersion law of the excitations. A geometrical recipe to obtain the
emission patterns in both real and wavevector space from the geometrical shape
of the dispersion law is discussed and applied to a number of cases of current
experimental interest. Some consequences of these emission processes onto the
stability of condensed-matter analogs of gravitational systems are finally
illustrated.Comment: Lecture Notes at the IX SIGRAV School on "Analogue Gravity" in Como,
  Italy from May 16th-21th, 201
Some aspects of dispersive horizons: lessons from surface waves

Hydrodynamic surface waves propagating on a moving background flow experience
an effective curved space-time. We discuss experiments with gravity waves and
capillary-gravity waves in which we study hydrodynamic black/white-hole
horizons and the possibility of penetrating across them. Such possibility of
penetration is due to the interaction with an additional "blue" horizon, which
results from the inclusion of surface tension in the low-frequency gravity-wave
theory. This interaction leads to a dispersive cusp beyond which both horizons
completely disappear. We speculate the appearance of high-frequency
"superluminal" corrections to be a universal characteristic of analogue gravity
systems, and discuss their relevance for the trans-Planckian problem. We also
discuss the role of Airy interference in hybridising the incoming waves with
the flowing background (the effective spacetime) and blurring the position of
the black/white-hole horizon.Comment: 29 pages. Lecture Notes for the IX SIGRAV School on "Analogue
  Gravity", Como (Italy), May 201
Classical aspects of Hawking radiation verified in analogue gravity
  experiment

There is an analogy between the propagation of fields on a curved spacetime
and shallow water waves in an open channel flow. By placing a streamlined
obstacle into an open channel flow we create a region of high velocity over the
obstacle that can include wave horizons. Long (shallow water) waves propagating
upstream towards this region are blocked and converted into short (deep water)
waves. This is the analogue of the stimulated Hawking emission by a white hole
(the time inverse of a black hole). The measurements of amplitudes of the
converted waves demonstrate that they appear in pairs and are classically
correlated; the spectra of the conversion process is described by a
Boltzmann-distribution; and the Boltzmann-distribution is determined by the
determined by the change in flow across the white hole horizon.Comment: 17 pages, 10 figures; draft of a chapter submitted to the proceedings
  of the IX'th SIGRAV graduate school: Analogue Gravity, Lake Como, Italy, May
  201
A Column Generation Based Label Correcting Approach for the Sensor Management in an Information Collection Process

International audienceThis paper deals with problems of sensor management in a human driven information collection process. This applicative context results in complex sensor-to-task assignment problems, which encompass several difficulties. First of all, the tasks take the form of several information requirements, which are linked together by logical connections and priority rankings. Second, the assignment problem is correlated by many constraint paradigms. Our problem is a variant of Vehicle Routing Problem with Time Windows (VRPTW), and it also implements resource constraints including refuelling issues. For solving this problem, we propose a column generation approach, where the label correcting method is used to treat the sub-problem. The efficiency of our approach is evaluated by comparing with solution given by CPLEX on different scenarios
Direction of Time from the Violation of Time Reversal Invariance

We show that the violation of time reversal invariance (T) observed in meson decay may have a profound effect on the direction of time. Our starting point is a universe without a presumed direction of time. Time evolution is modeled by taking an equal superposition of steps in both directions of time. This gives rise to multiple paths through time. The presence of T violating processes is shown to give rise to destructive interference between all paths except for the two that comprise continuously forwards and continuously backwards steps. We show that this leads to  a new kind of irreversibility that is quite unlike that found in thermodynamics.Griffith Sciences, School of Natural SciencesFull Tex
Dynamical localization in kicked rotator as a paradigm of other systems:
  spectral statistics and the localization measure

We study the intermediate statistics of the spectrum of quasi-energies and of
the eigenfunctions in the kicked rotator, in the case when the corresponding
system is fully chaotic while quantally localized. As for the eigenphases, we
find clear evidence that the spectral statistics is well described by the Brody
distribution, notably better than by the Izrailev's one, which has been
proposed and used broadly to describe such cases. We also studied the
eigenfunctions of the Floquet operator and their localization. We show the
existence of a scaling law between the repulsion parameter with relative
localization length, but only as a first order approximation, since another
parameter plays a role. We believe and have evidence that a similar analysis
applies in time-independent Hamilton systems.Comment: 6 pages, 2 figures, submitted in Proceedings of the European
  Conference on Complex Systems (2012
Inferring Information Across Scales in Acquired Complex Signals

International audienceTransmission of information across the scales of a complex signal has some interesting potential, notably in the derivation of sub-pixel information, cross-scale inference and data fusion. It follows the structure of complex signals themselves, when they are considered as acquisitions of complex systems. In this work we contemplate the problem of cross-scale information inference through the determination of appropriate multiscale decomposition. Our goal is to derive a generic methodology that can be applied to propagate information across the scales in a wide variety of complex signals. Consequently, we first focus on the determination of appropriate multiscale characteristics, and we show that singularity exponents computed in microcanonical formulations are much better candidates for the characterization of transitions in complex signals: they outperform the classical "linear filtering" approach of the state-of-the-art edge detectors (for the case of 2D signals). This is a fundamental topic as edges are usually considered as important multiscale features in an image. The comparison is done within the formalism of reconstructible systems. Critical exponents, naturally associated to phase transitions and used in complex systems methods in the framework of criticality are key notions in Statistical Physics that can lead to the complete determination of the geometrical cascade properties in complex signals. We study optimal multiresolution analysis associated to critical exponents through the concept of "optimal wavelet". We demonstrate the usefulness of multiresolution analysis associated to critical exponents in two decisive examples: the reconstruction of perturbated optical phase in Adaptive Optics (AO) and the generation of high resolution ocean dynamics from low resolution altimetry data
Constraint Propagation for the Dial-a-Ride Problem with Split Loads

International audienceAbstract. This paper deals with a new problem: the Dial and Ride Problem with Split Loads (DARPSL), while using randomized greedy insertion techniques together with constraint propagation techniques. Though it focuses here on the static versions of Dial and Ride, it takes into account the fact that practical DARP has to be handled according to a dynamical point of view, and even, in some case, in real time contexts. So, the kind of algorithmic solution which is proposed here, aim at making easier to bridge both points of view. First, we propose the general framework of the model and discuss the link with dynamical DARP, second, we describe the two algorithms (DARP and DARPSL), and lastly, show numerical experiments for both
Stochastic Volatility and Dependency in Energy Markets: Multi-Factor Modelling

We give a short introduction to energy markets, describing how they function and what products are traded. Next we survey some of the popular models that have been proposed in the literature. We extend the analysis of one of these models to include for stochastic volatility effects. In particular, we analyse a mean reverting stochastic spot price dynamics with a stochastic mean level modelled as an Ornstein–Uhlenbeck process. We include in this dynamics a stochastic volatility model of the Barndorff-Nielsen and Shephard type. Some properties of the dynamics are derived and discussed in relation to energy markets. Moreover, we derive a semi-analytical expression for the forward price based on such a spot dynamics. In the last part of these lecture notes we consider a cross-commodity spot price model including jumps. A Margrabe formula for options on the spread is derived, along with an analysis of the dependency risk under an Esscher measure transform. An empirical example demonstrates that the Esscher transform may increase the tail dependency in the bivariate jump part of the spot model.

The final publication is available at Springe
Unstable systems database: A new tool for students, teachers and scientists

The contribution presents a starting project of a site focused on unstable systems. It is a web-based database in the bilingual version (ENG/CZ) which can be used as an information database for models of unstable processes. The site contains mathematical models of such systems including their simulation files together with basic information about stability of dynamical systems. The paper outlines motivation for development of this database, presents its basic structure and discusses several models from the site. Areas of prospective usage are also suggested together with possible directions of further development of this project. © Springer International Publishing Switzerland 2013
Do evolutionary algorithms indeed require random numbers? Extended study

An inherent part of evolutionary algorithms, that are based on Darwin theory of evolution and Mendel theory of genetic heritage, are random processes. In this participation, we discuss whether are random processes really needed in evolutionary algorithms. We use n periodic deterministic processes instead of random number generators and compare performance of evolutionary algorithms powered by those processes and by pseudo-random number generators. Deterministic processes used in this participation are based on deterministic chaos and are used to generate periodical series with different length. Results presented here are numerical demonstration rather than mathematical proofs. We propose that a certain class of deterministic processes can be used instead of random number generators without lowering of evolutionary algorithms performance. © Springer International Publishing Switzerland 2013
Simulating a team behaviour of affective agents using robocode

The study of the impact of emotion and affect in decision making
processes involved in a working team stands for a multi-disciplinary issue
(e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy
and Computer Science). On the one hand, and in order to create such
an environment we look at a team of affective agents to play into a battlefield,
which present different emotional profiles (e.g. personality and mood).On the
other hand, to attain cooperation, a voting mechanism and a decision-making
process was implemented, being Robocode used as the simulation environment.
Indeed, the results so far obtained are quite satisfying; the agent team
performs quite well in the battlefield and undertakes different behaviours depending
on the skirmish conditions
Multiobjective Local Search Techniques for Evolutionary Polygonal Approximation

Proceedings of: 10th International Symposium on Distributed Computing and Artificial Intelligence . University of Salamanca (DCAI 2013). Salamanca, Spain,  Spain, May 22-24, 2013.Polygonal approximation is based on the division of a closed curve into a set of segments. This problem has been traditionally approached as a single-objective optimization issue where the representation error was minimized according to a set of restrictions and parameters. When these approaches try to be subsumed into more recent multi-objective ones, a number of issues arise. Current work successfully adapts two of these traditional approaches and introduces them as initialization procedures for a MOEA approach to polygonal approximation, being the results, both for initial and final fronts, analyzed according to their statistical significance over a set of traditional curves from the domain.This work was supported in part by Projects MEyC TEC2012-37832-C02-01, MEyC TEC2011-28626-C02-02 and CAM CONTEXTS (S2009/TIC-1485).Publicad
Monitoring weight and physical activity using an amI setting

We have an increasingly sedentary population without the care to make a
healthy diet. Therefore, it becomes necessary to give the population the opportunity,
despite living a very busy and tiring life, to have control over important aspects to
their health. This work aims to present a model of an ambient intelligence system
for monitoring the weight and physical activity in active individuals. To accomplish
this objective we have developed a mobile application that allows users to monitor
their weight over a period of time, identify the amount of food they consume and
the amount of exercise they practice. This mobile application will give information
to users about dietary and physical activity guidelines in order to improve their
lifestyles. It is expected that students improve their lifestyles
An emotional aware architecture to support facilitator in group idea generation process

In an idea generation meeting, the facilitator role is essential to obtain good results. The emotional context of the meeting partially determines the (un)success of the meeting, so the facilitator needs to obtain and process this information. Thus, the facilitator role is to assist the participants to reach their goals, i.e., to generate ideas with quality. In this paper is proposed an emotional aware architecture whose aim is to assist the facilitator in the process of maximizing the results of the meeting
Social networks gamification for sustainability recommendation systems

10th International Symposium on Distributed Computing and Artificial Intelligence (DCAI), Spain, Salamanca, 22 - 24 May 2013Intelligent environments and ambient intelligence provide means to monitor physical environments and to learn from users, generating data that can be used to promote sustainability. With communities of intelligent environments, it is possible to obtain information about environment and user behaviors which can be computed and ranked. Such rankings are bound to be dynamic as users and environments exchange interactions on a daily basis. This work aims to use knowledge from communities of intelligent environments to their own benefit. The approach presented in this work uses information from each environment, ranking them according to their sustainability assessment. Recommendations are then computed using similarity and clustering functions ranking users and environments, updating their previous records and launching new recommendations in the process
A context aware architecture to support people with partial visual impairments

Nowadays there are several systems that help people with disabilities on their quotidian tasks. The visual impairment is a problem that affects several people in their tasks and movements. In this work we propose an architecture capable of processing information from the environment and suggesting actions to the user with visual impairments, to avoid a possible obstacle. This architecture intends to improve the support given to the user in their daily movements. The idea is to use speculative computation to predict the users’ intentions and even to justify the reactive or proactive users’ behaviors
Agent-based interoperability for e-government

The provision of valuable e-government services depends upon the capacity to integrate the disperse provision of services by the public administration and thus upon the availability of interoperability platforms. These platforms are commonly built according to the principles of service oriented architectures, which raise the question of how to dynamically orchestrate services while preserving information security. Recently, it was presented an e-government interoperability model that preserves privacy during the dynamic orchestration of services. In this paper we present a prototype that implements that model using software agents. The model and the prototype are briefly described; an illustrative use case is presented; and the advantages of using software agents to implement the model are discussed. © Springer International Publishing Switzerland 2013
Representation of clinical practice guideline components in OWL

Serie : Advances in intelligent systems and computing, ISSN 2194-5357, vol. 221The main purpose to attain with the advent of clinical decision sup-port systems is either to improve the quality of patient care or to reduce the oc-currence of clinical malpractice, such as medical errors and defensive medicine. It is therefore necessary a machine-readable support to integrate the recommen-dations of Clinical Practice Guidelines in such systems. CompGuide is a Com-puter-Interpretable Guideline model developed under Ontology Web Language that offers support for administrative information concerning a guideline, work-flow procedures, and the definition of clinical and temporal constraints. When compared to other models of the same type, besides having a comprehensive task network model, it introduces new temporal representations and the possi-bility of reusing pre-existing knowledge and integrating it in a guideline
Self-organizing Prediction in Smart Grids through Delegate Multi-agent Systems

This paper discusses a contribution to software and system engineering for smart grids, which comprises multi-agent application domain modeling and delegate multi-agent systems. In this contribution, domain models are software
components – agents offering executable services – that become part of the multi-agent software as it will be deployed. These domain models crystalize relevant
power engineering knowhow and expertise, thus building bridges between the power engineering and the software engineering communities. The longevity of the real-world counterparts of these domain models ensures their technical feasibility and economic value. By mirroring real-world counterparts throughout their full life cycle, re-configurability is ensured and, in combination with the evaporate-and-refresh mechanisms of the delegate multi-agent systems, even becomes business-as-usual. The paper’s main contribution originates from research addressing self-organizing prediction of smart grid operations.status: publishe