pinecone/core-2020-05-10-deduplication huggingface dataset:
A hybrid exact-ACO algorithm for the joint scheduling, power and cluster
  assignment in cooperative wireless networks

Base station cooperation (BSC) has recently arisen as a promising way to
increase the capacity of a wireless network. Implementing BSC adds a new design
dimension to the classical wireless network design problem: how to define the
subset of base stations (clusters) that coordinate to serve a user. Though the
problem of forming clusters has been extensively discussed from a technical
point of view, there is still a lack of effective optimization models for its
representation and algorithms for its solution. In this work, we make a further
step towards filling such gap: 1) we generalize the classical network design
problem by adding cooperation as an additional decision dimension; 2) we
develop a strong formulation for the resulting problem; 3) we define a new
hybrid solution algorithm that combines exact large neighborhood search and ant
colony optimization. Finally, we assess the performance of our new model and
algorithm on a set of realistic instances of a WiMAX network.Comment: This is the author's final version of the paper published in G. Di
  Caro, G. Theraulaz (eds.), BIONETICS 2012: Bio-Inspired Models of Network,
  Information, and Computing Systems. LNICST, vol. 134, pp. 3-17. Springer,
  Heidelberg, 2014, DOI: 10.1007/978-3-319-06944-9_1 ). The final publication
  is available at Springer via http://dx.doi.org/10.1007/978-3-319-06944-9_
Improving Diffusion-Based Molecular Communication with Unanchored
  Enzymes

In this paper, we propose adding enzymes to the propagation environment of a
diffusive molecular communication system as a strategy for mitigating
intersymbol interference. The enzymes form reaction intermediates with
information molecules and then degrade them so that they have a smaller chance
of interfering with future transmissions. We present the reaction-diffusion
dynamics of this proposed system and derive a lower bound expression for the
expected number of molecules observed at the receiver. We justify a
particle-based simulation framework, and present simulation results that show
both the accuracy of our expression and the potential for enzymes to improve
communication performance.Comment: 15 pages, 4 figures, presented at the 7th International Conference on
  Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS
  2012) in Lugano, Switzerlan
Simulating Language Dynamics by Means of Concept Reasoning

A problem in the phenomenological reconstruction of Complex
Systems (CS) is the extraction of the knowledge that elements playing
in CS use during its evolution. This problem is important because
such a knowledge would allow the researcher to understand the global
behavior of the system [1,2]. In this paper an approach to partially solve
this problem by means of Formal Concept Analysis (FCA) is described in
a particular case, namely Language Dynamics. The main idea lies in the
fact that global knowledge in CS is naturally built by local interactions
among agents, and FCA could be useful to represent their own knowledge.
In this way it is possible to represent the effect of interactions
on individual knowledge as well as the dynamics of global knowledge.
Experiments in order to show this approach are given using WordNet.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606
Basics of the NLTE physics

Basic assumptions of the NLTE approximation in stellar atmospheres are
summarized. The assumptions of thermodynamic equilibrium, local thermodynamic
equilibrium (LTE), and non-LTE (NLTE) are compared. It is emphasized that LTE
is a poor approximation if radiative transitions dominate in stellar
atmospheres. The equations of kinetic equilibrium and methods of their solution
are discussed.Comment: in Determination of Atmospheric Parameters of B-, A-, F- and G-Type
  Stars, E. Niemczura et al. eds., Springer, in pres
Analysis of stellar spectra with 3D and NLTE models

Models of radiation transport in stellar atmospheres are the hinge of modern
astrophysics. Our knowledge of stars, stellar populations, and galaxies is only
as good as the theoretical models, which are used for the interpretation of
their observed spectra, photometric magnitudes, and spectral energy
distributions. I describe recent advances in the field of stellar atmosphere
modelling for late-type stars. Various aspects of radiation transport with 1D
hydrostatic, LTE, NLTE, and 3D radiative-hydrodynamical models are briefly
reviewed.Comment: 21 pages, accepted for publication as a chapter in "Determination of
  Atmospheric Parameters of B, A, F and G Type Stars", Springer (2014), eds. E.
  Niemczura, B. Smalley, W. Pyc
Spectroscopic analysis of cool giants and supergiants

Cool red giants and supergiants are among the most complex and fascinating
stars in the Universe. They are bright and large, and thus can be observed to
enormous distances allowing us to study the properties of their host galaxies,
such as dynamics and chemical abundances. This review lecture addresses various
problems related to observations and modelling spectra of red giants and
supergiants.Comment: 19 pages, accepted for publication as a chapter in "Determination of
  Atmospheric Parameters of B, A, F and G Type Stars", Springer (2014), eds. E.
  Niemczura, B. Smalley, W. Pyc
Solar abundance problem

The chemical composition of the Sun is among the most important quantities in
astrophysics. Solar abundances are needed for modelling stellar atmospheres,
stellar structure and evolution, population synthesis, and galaxies as a whole.
The solar abundance problem refers to the conflict of observed data from
helioseismology and the predictions made by stellar interior models for the
Sun, if these models use the newest solar chemical composition obtained with 3D
and NLTE models of radiative transfer. Here we take a close look at the problem
from observational and theoretical perspective. We also provide a list of
possible solutions, which have yet to be tested.Comment: 16 pages, accepted for publication as a chapter in "Determination of
  Atmospheric Parameters of B, A, F and G Type Stars", Springer (2014), eds. E.
  Niemczura, B. Smalley, W. Pyc
ARES+MOOG - a practical overview of an EW method to derive stellar
  parameters

The goal of this document is to describe the important practical aspects in
the use of an Equivalent Width (EW) method for the derivation of spectroscopic
stellar parameters. A general description of the fundamental steps composing
any EW method is given, together with possible differences that may be found in
different methods used in the literature. Then ARES+MOOG is then used as an
example where each step of the method is described in detail. A special focus
is given for the specific steps of this method, namely the use of a
differential analysis to define the atomic data for the adopted line list, the
automatic EW determinations, and the way to find the best parameters at the end
of the procedure. Finally, a practical tutorial is given, where we focus on
simple exercises useful to illustrate and explain the dependence of the
abundances with the assumed stellar parameters. The interdependences are
described and a clear procedure is given to find the "final" stellar
parameters.Comment: 15 pages, 4 figures, accepted for publication as a chapter in
  "Determination of Atmospheric Parameters of B, A, F and G Type Stars",
  Springer (2014), eds. E. Niemczura, B. Smalley, W. Pyc
Stakeholder engagement and asset management : a case study of the Gold Coast airport, Queensland

One of the fastest growing industries – aviation – faces serious and compounding challenges in maintaining healthy relationships with community stakeholders. One area in aviation creating community conflict is noise pollution. However, current understandings of the factors that affect noise annoyance of the community are poorly conceptualized. More importantly, the way community needs and expectations could be incorporated in airport governance has been inadequately framed to address the issue of aircraft noise. This paper proposes the util-ity of adopting an integrated strategic asset management (ISAM) framework [1] to explore the dynamic nature of relationships between and airport and its surrounding area. The case of the Gold Coast Airport (OOL) operator and community stakeholders is used. This paper begins with an overview of the ISAM framework in the context of airport governance and sustainable development – as a way to find a balance between economic opportunities and societal concerns through stakeholder engagement. Next, an exploratory case study is adopted as a method to explore the noise-related complaints, complainants, and possible causes. Fol-lowing this, the paper reviews three approaches to community stakeholder engagement in Australia, Japan, and UK and discusses their implications in the con-text of OOL. The paper concludes with a contention that airport governance is likely to be much more effective with the adoption of ISAM framework than without it
Signal patterns of piston slap of a four-cylinder diesel engine

This paper presents an experimental study on the vibration signal patterns associated with a simulated piston slap test of a four-cylinder diesel engine. It is found that a simulated worn-off piston results in an increase in vibration RMS peak amplitudes associated with the major mechanical events of the corresponding cylinder (i.e., inlet and exhaust valve closing and combustion of Cylinder 1). This then led to an increase of overall vibration amplitude of the time domain statistical features such as RMS, Crest Factor, Skewness and Kurtosis in all loading conditions. The simulated worn-off piston not only increased the impact amplitude of piston slap during the engine combustion, it also produced a distinct impulse response during the air induction stroke of the cylinder attributing  to an increase of lateral impact force as a result of piston reciprocating motion and the increased clearance between the worn-off piston and the cylinder. The unique signal patterns of piston slap disclosed in this paper can be utilized to assist in the development of condition monitoring tools for automated diagnosis of similar diesel engine faults in practical applications
Managing knowledge for asset management : shifting from process to relational frames

The purpose of this paper is to review existing knowledge management (KM) practices within the field of asset management, identify gaps, and propose a new approach to managing knowledge for asset management. Existing approaches to KM in the field of asset management are incomplete with the focus primarily on the application of data and information systems, for example the use of an asset register. It is contended these approaches provide access to explicit knowledge and overlook the importance of tacit knowledge acquisition, sharing and application. In doing so, current KM approaches within asset management tend to neglect the significance of relational factors; whereas studies in the knowledge management field have showed that relational modes such as social capital is imperative for ef-fective KM outcomes. In this paper, we argue that incorporating a relational ap-proach to KM is more likely to contribute to the exchange of ideas and the devel-opment of creative responses necessary to improve decision-making in asset management. This conceptual paper uses extant literature to explain knowledge management antecedents and explore its outcomes in the context of asset man-agement. KM is a component in the new Integrated Strategic Asset Management (ISAM) framework developed in conjunction with asset management industry as-sociations (AAMCoG, 2012) that improves asset management performance. In this paper we use Nahapiet and Ghoshal’s (1998) model to explain antecedents of relational approach to knowledge management. Further, we develop an argument that relational knowledge management is likely to contribute to the improvement of the ISAM framework components, such as Organisational Strategic Manage-ment, Service Planning and Delivery. The main contribution of the paper is a novel and robust approach to managing knowledge that leads to the improvement of asset management outcomes
Diffusion of Chemically Reacting Fluids through Nonlinear Elastic Solids and 1D Stabilized Solutions

This paper summarizes a 1D adaptation (Hall et al., Math Mech Solids, 2014) of the reactive fluid–solid mixture theory of Hall and Rajagopal (Math Mech Solids 17(2):131–164, 2012), which considers an anisotropic viscous fluid diffusing and chemically reacting with an anisotropic elastic solid. The present implementation introduces a stabilized mixed finite element method for advection–diffusion–reaction phenomena, which is applied to 1D isothermal problems involving Fickian diffusion, oxidation of PMR-15 polyimide resin, and slurry infiltration. The energy and entropy production relations are captured via a Lagrange multiplier that results from imposing the constraint of maximum rate of entropy production, reducing the primary PDEs to the balance equations of mass and linear momentum for the fluid and the
solid, together with an equation for the Lagrange multiplier. The Fickian diffusion application considers a hyperbolic first order system with a boundary discontinuity and stable approach to the usual parabolic model. Results of the oxidation modeling of Tandon et al. (Polym Degrad Stab 91(8):1861–1869, 2006) are recovered by employing the reaction kinetics model and properties assumed there, while providing in addition the individual constituent kinematic and kinetic behaviors, thus adding rich interpretive detail in comparison to the original treatment (Tandon et al., Polym Degrad Stab 91 (8):1861–1869, 2006); two adjustable parameters describing coupled chemomechanical and purely chemical dissipation are added. The slurry infiltration application simulates the imposed mass deposition process and consequent effects on the kinematic and kinetic behaviors of the constituents.Ope
Stabilizing Heteroscedastic Noise With the Generalized Anscombe Transform. Application to Accurate Prediction of the Resolution in Displacement and Strain Maps Obtained With the Grid Method.

International audienceThe objective of this paper is to show that it is possible to predict the noise level in displacement and strain maps obtained with the grid method, but that actual noise of camera sensors being heteroscedastic, it is necessary to stabilize this noise in grid images prior to employing the predicting formulas. The procedure used for this purpose relies on the Generalized Anscombe Transform. This transform is first described. It is then shown that experimental and theoretical resolutions in strain maps obtained with the grid method are in good agreement when this transform is employed
Sliced Table Constraints: Combining Compression and Tabular Reduction

International audienceMany industrial applications require the use of table constraints (e.g., in configuration problems), sometimes of significant size. During the recent years, researchers have focused on reducing space and time complexities of this type of constraint. Static and dynamic reduction based approaches have been proposed giving new compact representations of table constraints and effective filtering algorithms. In this paper, we study the possibility of combining both static and dynamic reduction techniques by proposing a new compressed form of table constraints based on frequent pattern detection, and exploiting it in STR (Simple Tabular Reduction)
Faustine: a Vector Faust Interpreter Test Bed for Multimedia Signal Processing

International audienceFaustine is the rst interpreter for the digital audio signal processing language Faust and its vector extension. This domain-speci c language for sample-based audio is highly expressive and can be e ciently compiled. Faustine has been designed and implemented, in OCaml, to validate the Faust multirate vector extension proposed in the literature, without having to modify the sophisticated Faust scalar compiler. Moving to frame-based algorithms such as FFT is of paramount importance in the audio eld and, more broadly, in the multimedia signal processing domain. Via the actual implementation of multidimensional FFT and morphological image processing operations, Faustine, although unable to process data in real time, illustrates the possible advantages and shortcomings of this vector extension as a language design proposal. More generally, our paper provides a new use case for the vision of interpreters as lightweight software platforms within which language design and implementation issues can be easily assessed without incurring the high costs of modifying large compiler platforms
Impact of Bayesian network model structure on the accuracy of medical diagnostic systems

While Bayesian network models may contain a handful of numerical parameters that are important for their quality, several empirical studies have confirmed that overall precision of their probabilities is not crucial. In this paper, we study the impact of the structure of a Bayesian network on the precision of medical diagnostic systems. We show that also the structure is not that important - diagnostic accuracy of several medical diagnostic models changes minimally when we subject their structures to such transformations as arc removal and arc reversal. © 2014 Springer International Publishing
Visualizing Random Forest with Self-Organising Map

Random Forest (RF) is a powerful ensemble method for classification and
regression tasks. It consists of decision trees set. Although, a single tree is
well interpretable for human, the ensemble of trees is a black-box model. The
popular technique to look inside the RF model is to visualize a RF proximity
matrix obtained on data samples with Multidimensional Scaling (MDS) method.
Herein, we present a novel method based on Self-Organising Maps (SOM) for
revealing intrinsic relationships in data that lay inside the RF used for
classification tasks. We propose an algorithm to learn the SOM with the
proximity matrix obtained from the RF. The visualization of RF proximity matrix
with MDS and SOM is compared. What is more, the SOM learned with the RF
proximity matrix has better classification accuracy in comparison to SOM
learned with Euclidean distance. Presented approach enables better
understanding of the RF and additionally improves accuracy of the SOM
Cooperative Decision Making : a methodology based on collective preferences aggregation

The benefice of a collective decisions process mainly rests upon the possibility for the participants to confront their respective points of views. To this end, they must have cognitive and technical tools that ease the sharing of the reasons that motivate their own preferences, while accounting for information and feelings they should keep for their own. The paper presents the basis of such a cooperative decision making methodology that allows sharing information by accurately distinguishing the components of a decision and the steps of its elaboration
Predicting Student Performance in Solving Parameterized Exercises

In this paper, we compare pioneer methods of educational data mining field with recommender systems techniques for predicting student performance. Additionally, we study the importance of including students’ attempt time sequences of parameterized exercises. The approaches we use are Bayesian Knowledge Tracing (BKT), Performance Factor Analysis (PFA), Bayesian Probabilistic Tensor Factorization (BPTF), and Bayesian Probabilistic Matrix Factorization (BPMF). The last two approaches are from the recommender system’s field.We approach the problem using question-level Knowledge Components (KCs) and test the methods using cross-validation. In this work, we focus on predicting students’ performance in parameterized exercises. Our experiments shows that advanced recommender system techniques are as accurate as the pioneer methods in predicting student performance. Also, our studies show the importance of considering time sequence of students’ attempts to achieve the desirable accuracy
Identifying thesis and conclusion statements in student essays to scaffold peer review

Peer-reviewing is a recommended instructional technique to encourage good writing. Peer reviewers, however, may fail to identify key elements of an essay, such as thesis and conclusion statements, especially in high school writing. Our system identifies thesis and conclusion statements, or their absence, in students' essays in order to scaffold reviewer reflection. We showed that computational linguistics and interactive machine learning have the potential to facilitate peer-review processes. © 2014 Springer International Publishing Switzerland
Fostering Teacher-Student Interaction and Learner Autonomy by the I-TUTOR Maps

The paper analyses the use of an automatically generated map as a mediator; that map visually represents the study domain of a university course and fosters the co-activity between teachers and stu- dents. In our approach the role of the teacher is meant as a media- tor between the student and knowledge. The mediation (and not the transmission) highlights a process in which theres no deterministic rela- tion between teaching and learning. Learning is affected by the students previous experiences, their own modalities of acquisition and by the in- puts coming from the environment. The learning path develops when the teachers and the students visions approach and, partly, overlap. In this case we have co-activity. The teacher uses artifacts-mediators in such a process (Bruner). The automatically generated map can be considered a mediator. The paper describes the experimentation of the artifact to check if its use fosters: (1) the elicitation of the different subjects per- spectives (different students and the teachers), and (2) the structural coupling that is the creation of an empathic process between the per- spectives of the teacher and the student as the way to enable co-activity processes between teaching and learning
Comparison test of website use with mobile phone and laptop computer

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07227-2_15The study compared user performance and subjective ratings\ud
between a mobile phone and laptop computer for accessing the\ud
internet. Twenty four participants were required to carry out two\ud
equivalent sets of 5 tasks, one set of tasks with a mobile phone and the\ud
other set with a laptop. It was found that the task times for the mobile\ud
phone were higher than those of the laptop for all tasks but only significantly\ud
different for two of the task pairs. The most important reason\ud
for this result seemed to be the difference in size of the screens on\ud
each device. Participants were also asked to rate the difficulty of each\ud
task performed on both laptop and phone. Interestingly, participants\ud
did not rate the difficulty of using the mobile phone significantly\ud
higher than for the laptop. This seemed to be because of lower expectations\ud
when using the mobile phone, good dexterity in zooming in\ud
and out of the screen, and spending less time reviewing each page on\ud
the phone than on the laptop before moving on another page
The Issues of 3D Hand Gesture and Posture Recognition Using the Kinect

International audienceBesides the emergence of many input devices and sensors, they are still unable to provide good and simple recognition of human postures and gestures. The recognition using simple algorithms implemented on top of these devices (like the Kinect) enlarges use cases for these gestures and postures to newer domains and systems. Our methods cuts the needed computation and allow the integration of other algorithms to run in parallel. We present a system able to track the hand in 3D, log its position and surface information during the time, and recognize hand postures and gestures. We present our solution based on simple geometric algorithms, other tried algorithms, and we discuss some concepts raised from our tests