pinecone/core-2020-05-10-deduplication huggingface dataset:
MAP: Microblogging Assisted Profiling of TV Shows

Online microblogging services that have been increasingly used by people to
share and exchange information, have emerged as a promising way to profiling
multimedia contents, in a sense to provide users a socialized abstraction and
understanding of these contents. In this paper, we propose a microblogging
profiling framework, to provide a social demonstration of TV shows. Challenges
for this study lie in two folds: First, TV shows are generally offline, i.e.,
most of them are not originally from the Internet, and we need to create a
connection between these TV shows with online microblogging services; Second,
contents in a microblogging service are extremely noisy for video profiling,
and we need to strategically retrieve the most related information for the TV
show profiling.To address these challenges, we propose a MAP, a
microblogging-assisted profiling framework, with contributions as follows: i)
We propose a joint user and content retrieval scheme, which uses information
about both actors and topics of a TV show to retrieve related microblogs; ii)
We propose a social-aware profiling strategy, which profiles a video according
to not only its content, but also the social relationship of its microblogging
users and its propagation in the social network; iii) We present some
interesting analysis, based on our framework to profile real-world TV shows
DNS of compressible multiphase flows through the Eulerian approach

In this paper we present three multiphase flow models suitable for the study
of the dynamics of compressible dispersed multiphase flows. We adopt the
Eulerian approach because we focus our attention to dispersed (concentration
smaller than 0.001) and small particles (the Stokes number has to be smaller
than 0.2). We apply these models to the compressible ($\text{Ma} = 0.2,\,0.5$)
homogeneous and isotropic decaying turbulence inside a periodic
three-dimensional box ($256^3$ cells) using a numerical solver based on the
OpenFOAM$^{R}$ C++ libraries. In order to validate our simulations in the
single-phase case we compare the energy spectrum obtained with our code with
the one computed by an eighth order scheme getting a very good result (the
relative error is very small $4*10^{-4}$). Moving to the bi-phase case,
initially we insert inside the box an homogeneous distribution of particles
leaving unchanged the initial velocity field. Because of the centrifugal force,
turbulence induce particle preferential concentration and we study the
evolution of the solid-phase density. Moreover, we do an {\em a-priori} test on
the new sub-grid term of the multiphase equations comparing them with the
standard sub-grid scale term of the Navier-Stokes equations.Comment: 10 pages, 5 figures, preprint. Direct and Large Eddy Simulations 9,
  201
Energy-Aware Cloud Management through Progressive SLA Specification

Novel energy-aware cloud management methods dynamically reallocate
computation across geographically distributed data centers to leverage regional
electricity price and temperature differences. As a result, a managed VM may
suffer occasional downtimes. Current cloud providers only offer high
availability VMs, without enough flexibility to apply such energy-aware
management. In this paper we show how to analyse past traces of dynamic cloud
management actions based on electricity prices and temperatures to estimate VM
availability and price values. We propose a novel SLA specification approach
for offering VMs with different availability and price values guaranteed over
multiple SLAs to enable flexible energy-aware cloud management. We determine
the optimal number of such SLAs as well as their availability and price
guaranteed values. We evaluate our approach in a user SLA selection simulation
using Wikipedia and Grid'5000 workloads. The results show higher customer
conversion and 39% average energy savings per VM.Comment: 14 pages, conferenc
Analysis of the social effort in multiplex participatory networks

Community networks are participatory connectivity solutions for citizens where all the resources are owned, managed and controlled by the participants. As a natural evolution, in recent years some initiatives have flourished to provide higher level services based on volunteer computing and resource sharing paradigms. A fundamental aspect of these paradigms is user participation. In this work, we apply some social mining techniques aiming to identify the roles of the individuals in the social network behind a community network, here Guifi.net, and to measure the participatory involvement in the community network from 2003 to 2014. We observed that community network participants generally dedicate their time and effort to a single participatory forum, generating several types of community structures. We analyzed such structures using a multiplex network formed by mailing list in Guifi.net and a relationship graph built pairwise of users that share a physical wireless link. We were able to distinguish between non-hierarchical participatory forums, where almost all users are part of the same big community and two-tier participatory forums leaded by a small number of users that act as social bridges between their members. Finally, by testing the impact of community leaders in all participatory layers, we profiled the utility of the members’ effort to the whole wireless community network.Peer ReviewedPostprint (published version
Performance Evaluation for Cost-Efficient Public Infrastructure Cloud Use

In this paper, we discuss the nature of variability in compute performance in Infrastructure Clouds and how this presents opportunities for Cloud Service Brokers (CSB) in relation to pricing. Performance variation in virtual machines of the same type and price raises specific issues for end users: (i) the time taken to complete a task varies with performance, and therefore costs also vary (ii) the number of instances required to meet a certain problem scale within a given time being variable, so costs depend on variations in scale needed to meet the requirement; (iii) different computational requirements are better satisfied by different hardware, and understanding the relationship between instance types and available resources implies further costs. We demonstrate such variability problems empirically in a Public Infrastructure Cloud, and use the data gathered to discuss performance price issues, and how a CSB may re-price instances based on their performance
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method

We present a novel approach to the reconstruction of depth from light field data. Our method uses dictionary representations and group sparsity constraints to derive a convex formulation. Although our solution results in an increase of the problem dimensionality, we keep numerical complexity at bay by restricting the space of solutions and by exploiting an efficient Primal-Dual formulation. Comparisons with state of the art techniques, on both synthetic and real data, show promising performances
Blind Deconvolution via Lower-Bounded Logarithmic Image Priors

In this work we devise two novel algorithms for blind deconvolution based on a family of logarithmic image priors. In contrast to recent approaches, we consider a minimalistic formulation of the blind deconvolution problem where there are only two energy terms: a least-squares term for the data fidelity and an image prior based on a lower-bounded logarithm of the norm of the image gradients. We show that this energy formulation is sufficient to achieve the state of the art in blind deconvolution with a good margin over previous methods. Much of the performance is due to the chosen prior. On the one hand, this prior is very effective in favoring sparsity of the image gradients. On the other hand, this prior is non convex. Therefore, solutions that can deal effectively with local minima of the energy become necessary. We devise two iterative minimization algorithms that at each iteration solve convex problems: one obtained via the primal-dual approach and one via majorization-minimization. While the former is computationally efficient, the latter achieves state-of-the-art performance on a public dataset
Reproducing and exploring past events using agent-based geo-historical models

The field of “digital humanities” is about using the latest digital methodologies in order to tackle humanities disciplines and social sciences questions. The ARCHIVES project belongs to this new research area. It proposes a methodology to build agent-based models of historical events, in particular crisis events, in order to answer new questions about them or explore them in new ways. In this paper, we present the first implementation of ARCHIVES on the case study of the management of floods in Hà Nội (Việt Nam) in 1926. We show how we collected, digitized and indexed numerous historical documents from various sources, built a historical geographic information system to represent the environment and flooding events and finally designed an agent-based model of human activities in this reconstructed environment. We then show how this model helped us understanding the decisions made by the different actors during this event, testing multiple scenarios and answering several questions concerning the management of the flooding events
Fully-Coupled Electromechanical Simulations of the LV Dog Anatomy Using HPC: Model Testing and Verification

Verification of electro-mechanic models of the heart require a good amount of reliable, high resolution, thorough in-vivo measurements. The detail of the mathematical models used to create simulations of the heart beat vary greatly. Generally, the objective of the simulation determines the modeling approach. However, it is important to exactly quantify the amount of error between the various approaches that can be used to simulate a heart beat by comparing them to ground truth data. The more detailed the model is, the more computing power it requires, we therefore employ a high-performance computing solver throughout this study. We aim to compare models to data measured experimentally to identify the effect of using a mathematical model of fibre orientation versus the measured fibre orientations using DT-MRI. We also use simultaneous endocardial stimuli vs an instantaneous myocardial stimulation to trigger the mechanic contraction. Our results show that synchronisation of the electrical and mechanical events in the heart beat are necessary to create a physiological timing of hemodynamic events. Synchronous activation of all of the myocardium provides an unrealistic timing of hemodynamic events in the cardiac cycle. Results also show the need of establishing a protocol to quantify the zero-pressure configuration of the left ventricular geometry to initiate the simulation protocol; however, the predicted zero-pressure configuration of the same geometry was different, depending on the origin of the fibre field employed.This work has been done with the support of the grant SEV-2011-00067 of Severo Ochoa Program, awarded by the Spanish Government to the Barcelona Supercomputing Center. Part of the research leading to these results has received funding from the Seventh Framework Programme (FP7/2007-2013) under grant agreement n 611823. It has also been partially funded from the by the Spanish\ud
Ministry of Economy and Competitiveness (TIN2011-28067).Peer ReviewedPostprint (author's final draft
Multi-source motion decoupling ablation catheter guidance for electrophysiology procedures

© Springer International Publishing Switzerland 2015.Accurate and stable positioning of the ablation catheter tip during the delivery of radiofrequency impulses in cardiac electrophysiology remains a challenge due to the endocardium motion from multiple sources (cardiac cycle and respiration) and inevitable slippage of the catheter tip. This paper presents a novel ablation catheter guidance framework during electrophysiology procedures. Catheter tip electrode position readings from intraoperative electroanatomical data are used to decouple tip motion from different motion sources as part of the pre-ablation mapping. The resulting information is then used to determine if there is relative slippage between the catheter tip and endocardial surface and is shown as a probabilitymap for online decision support of the ablation process. The proposed decomposition method and the slippage assessment were performed on a retrospective cohort of 19 patients treated for ventricular tachycardia (13 cases) or atrial fibrillation (6 cases) and were also validated on artificially generated signals
A reputation-enhanced recommender system

Reputation systems are employed to provide users with advice on the quality of items on the Web, based on the aggregated value of user-based ratings. Recommender systems are used online to suggest items to users according to the users, expressed preferences. Yet, recommender systems will endorse an item regardless of its reputation value. In this paper, we report the incorporation of reputation models into recommender systems to enhance the accuracy of recommendations. The proposed method separates the implementation of recommender and reputation systems for generality. Our experiment showed that the proposed method could enhance the accuracy of existing recommender systems
Decentralized planning for self-adaptation in multi-cloud environment

The runtime management of Internet of Things (IoT) oriented applications deployed in multi-clouds is a complex issue due to the highly heterogeneous and dynamic execution environment. To effectively cope with such an environment, the cross-layer and multi-cloud effects should be taken into account and a decentralized self-adaptation is a promising solution to maintain and evolve the applications for quality assurance. An important issue to be tackled towards realizing this solution is the uncertainty effect of the adaptation, which may cause negative impact to the other layers or even clouds. In this paper, we tackle such an issue from the planning perspective, since an inappropriate planning strategy can fail the adaptation outcome. Therefore, we present an architectural model for decentralized self-adaptation to support the cross-layer and multi-cloud environment. We also propose a planning model and method to enable the decentralized decision making. The planning is formulated as a Reinforcement Learning problem and solved using the Q-learning algorithm. Through simulation experiments, we conduct a study to assess the effectiveness and sensitivity of the proposed planning approach. The results show that our approach can potentially reduce the negative impact on the cross-layer and multi-cloud environment
Understanding the Role of Trust in Network-Based Responses to Disaster Management and Climate Change Adaptation in the Asia-Pacific Region

Effective communication and strong collaboration amongst organisations are essential tools for disaster management responses and climate change adaptation. Complex situations such as disaster preparation and response require trust-based and collaborative networks. Given that mutual trust and willingness to share information are central to successful disaster management, it is crucial to increase our understanding of how to build and sustain network trust and collaboration. Based on a comprehensive literature review, including both theoretical and empirical studies, we explore the role and impact of trust on facilitating improved network co-ordination in emergency responses to climate-driven events. Social identity theory and cultural cognition theory are applied as a framework for understanding trust development, particularly in the context of the Asia-Pacific region. The paper identifies obstacles to trust development, and then outlines key methods by which trust can be established and enhanced to improve communication and network effectiveness in disaster management. These findings provide critical information for policy makers and network participants with regard to building network trust to better underpin disaster management and climate change adaptation in the Asia-Pacific region.Full Tex
Conversation and critique within the architectural design process: a linkograph analysis

Conversation and critique are central to architectural design practice as they function as tools for probing and further improving design ideas. We study the kind of design activities that take place in such conversation and critique within the architectural design process. We use linkographs to characterise the design process taking place during conversation. More precisely, we study conversations between design teachers and design students. In this article, an example design process is considered that takes place via a traditional face-to-face meeting. Using the resulting linkograph, we are able to assess the kind of design activity taking place during such sessions of conversation and critique
Geo-indistinguishability: A Principled Approach to Location Privacy

International audienceIn this paper we report on our ongoing project aimed at protecting the privacy of the user when dealing with location-based services. The starting point of our approach is the principle of geo-indistinguishability, a formal notion of privacy that protects the user’s exact location, while allowing approximate information – typically needed to obtain a certain desired service – to be released. We then present two mechanisms for achieving geo-indistinguishability, one generic to sanitize locations in any setting with reasonable utility, the other custom-built for a limited set of locations but providing optimal utility. Finally we extend our mechanisms to the case of location traces, where the user releases his location repeatedly along the day and we provide a method to limit the degradation of the privacy guarantees due to the correlation between the points. All the mechanisms were tested on real datasets and compared both among themselves and with respect to the state of the art in the field
Relationship Bonds and Customer Loyalty: A Study Across Different Service Contexts

The benefits of customer relationship strategies are well known and somewhat established nowadays. Customer loyalty emerges as the crucial glue in developing a relational approach. However, relational bonds, which relate to customer loyalty, have not yet been fully explored. Also, there is little research that takes into account the effect of service types on customer relationships and bonding. This paper develops a conceptual framework based on previous literature with a complete set of different relational bonds and examines its influence on customer loyalty across search, experience and credence services through a survey-based empirical study, with a sample of 233 consumers. The results provide guidance to managers to differentiate customer relationship strategies according to each specific service context
Materials and structures for nonlinear photonics

In this chapter we summarize progress in materials and structures for all-optical signal processing that employ either the second or third order optical nonlinearity. Three-wave mixing and cascading in periodically-poled lithium niobate waveguides dominates signal processing in second order materials. In the case of third-order nonlinearities, four wave mixing is the dominant physical process but here the range of materials that have been employed is wider and ranges from glasses to both active and passive semiconductor devices. This chapter provides a brief summary of the advantages and disadvantages of each class of materials and device structure as well as the state-of-the-art for each case
Studies of Quantum Chromodynamics at the LHC

A successful description of hadron-hadron collision data demands a profound
understanding of quantum chromodynamics. Inevitably, the complexity of
strong-interaction phenomena requires the use of a large variety of theoretical
techniques -- from perturbative cross-section calculations up to the modelling
of exclusive hadronic final states. Together with the unprecedented precision
of the data provided by the experiments in the first running period of the LHC,
a solid foundation of hadron-hadron collision physics at the TeV scale could be
established that allowed the discovery of the Higgs boson and that is vital for
estimating the background in searches for new phenomena. This chapter on
studies of quantum chromodynamics at the LHC is part of a recent book on the
results of LHC Run 1 and presents the advances in theoretical methods
side-by-side with related key measurements in an integrated approach.Comment: 49 pages, 24 figures, To appear in "The Large Hadron Collider --
  Harvest of Run 1", Thomas Sch\"orner-Sadenius (ed.), Springer, 2015 (532
  pages, 253 figures; ISBN 978-3-319-15001-7, for more details, see
  http://www.springer.com/de/book/9783319150000
Top-Quark Physics at the LHC

The top quark is the heaviest of all known elementary particles. It was
discovered in 1995 by the CDF and D0 experiments at the Tevatron. With the
start of the LHC in 2009, an unprecedented wealth of measurements of the top
quark's production mechanisms and properties have been performed by the ATLAS
and CMS collaborations, most of these resulting in smaller uncertainties than
those achieved previously. At the same time, huge progress was made on the
theoretical side yielding significantly improved predictions up to
next-to-next-to-leading order in perturbative QCD. Due to the vast amount of
events containing top quarks, a variety of new measurements became feasible and
opened a new window to precisions tests of the Standard Model and to
contributions of new physics. In this review, originally written for a recent
book on the results of LHC Run 1, top-quark measurements obtained so far from
the LHC Run 1 are summarised and put in context with the current understanding
of the Standard Model.Comment: 35 pages, 25 figures. To appear in "The Large Hadron Collider --
  Harvest of Run 1", Thomas Sch\"orner-Sadenius (ed.), Springer, 2015 (532
  pages, 253 figures; ISBN 978-3-319-15000-0; eBook ISBN 978-3-319-15001-7, for
  more details, see http://www.springer.com/de/book/9783319150000
Linear bus holding model for real-time traffic network Control

One of the most annoying problems in urban bus operations is bus bunching, which happens when two or more buses arrive at a stop nose to tail. Bus bunching reflects an unreliable service that affects transit operations by increasing passenger-waiting times. This work proposes a linear mathematical programming model that establishes bus holding times at certain stops along a transit corridor to avoid bus bunching. Our approach needs real-time input, so we simulate a transit corridor and apply our mathematical model to the data generated. Thus, the inherent variability of a transit system is considered by the simulation, while the optimization model takes into account the key variables and constraints of the bus operation. Our methodology reduces overall passenger-waiting times efficiently given our linear programming model, with the characteristic of applying control intervals just every 5 min
Experimental validation of modal parameters in rotating machinery

In this paper, instability of rotating machinery systems due to rotating damping is investigated through experimental modal analysis. Generally, advanced methods are needed for these kind of systems because of the asymmetry of the matrices. However, it is shown by means of cyclic energy dissipation that the rotating damping can be handled as damping which changes due to the rotating speed. The use of damping matrix estimation techniques is discussed and a method is proposed to estimate and model the influence of the rotating damping matrix. A dedicated experimental setup, with negligible gyroscopic effect, is presented for validation purposes. It is shown experimentally that the estimation of the rotating damping matrix is able to predict the decay rate of the first forward mode