pinecone/core-2020-05-10-deduplication huggingface dataset:
Game analytics - maximizing the value of player data

During the years of the Information Age, technological advances in the computers,\ud
satellites, data transfer, optics, and digital storage has led to the collection of an\ud
immense mass of data on everything from business to astronomy, counting on the\ud
\ud
power of digital computing to sort through the amalgam of information and generate meaning from the data. Initially, in the 1970s and 1980s of the previous century,\ud
\ud
data were stored on disparate structures and very rapidly became overwhelming. The\ud
initial chaos led to the creation of structured databases and database management\ud
systems to assist with the management of large corpuses of data, and notably, the\ud
\ud
effective and efficient retrieval of information from databases. The rise of the database management system increased the already rapid pace of information\ud
\ud
gathering.peer-reviewe
Exciton and Charge Dynamics in Polymer Solar Cells Studied by Transient Absorption Spectroscopy

Book Title: Organic Solar Cells: Materials and Device Physics; ISBN: 978-1-4471-4822-7Transient absorption spectroscopy is a powerful tool for studying the photovoltaic conversion events in polymer solar cells, which occur on a wide temporal scale from ~10−15 s for exciton generation by photon absorption to ~10−5 s for charge collection to the electrode. This chapter describes first how to assign transient species such as singlet and triplet excitons, polarons, and other charge carriers by transient absorption spectroscopy. On the basis of the assignments, the exciton and charge dynamics are analyzed to discuss photophysical fundamental events related to the photovoltaic conversion such as exciton delocalization, energy transfer, triplet formation, and charge generation and recombination. Finally, the relevance to the device performance is summarized
Group maintenance scheduling : a case study for a pipeline network

This paper presents a group maintenance scheduling case study for a water distributed network. This water pipeline network presents the challenge of maintaining aging pipelines with the associated increases in annual maintenance costs. The case study focuses on developing an effective maintenance plan for the water utility. Current replacement planning is difficult as it needs to balance the replacement needs under limited budgets. A Maintenance Grouping Optimization (MGO) model based on a modified genetic algorithm was utilized to develop an optimum group maintenance schedule over a 20-year cycle. The adjacent geographical distribution of pipelines was used as a grouping criterion to control the searching space of the MGO model through a Judgment Matrix. Based on the optimum group maintenance schedule, the total cost was effectively reduced compared with the schedules without grouping maintenance jobs. This optimum result can be used as a guidance to optimize the current maintenance plan for the water utility
Estimating the loading condition of a diesel engine using instantaneous angular speed analysis

Continuing monitoring of diesel engine performance is critical for early detection of fault developments in the engine before they materialize and become a functional failure. Instantaneous crank angular speed (IAS) analysis is one of a few non intrusive condition monitoring techniques that can be utilized for such tasks. In this experimental study, IAS analysis was employed to estimate the loading condition of a 4-stroke 4-cylinder diesel engine in a laboratory condition. It was shown that IAS analysis can provide useful information about engine speed variation caused by the changing piston momentum and crankshaft acceleration during the engine combustion process. It was also found that the major order component of the IAS spectrum directly associated with the engine firing frequency (at twice the mean shaft revolution speed) can be utilized to estimate the engine loading condition regardless of whether the engine is operating at normal running conditions or in a simulated faulty injector case. The amplitude of this order component follows a clear exponential curve as the loading condition changes. A mathematical relationship was established for the estimation of the engine power output based on the amplitude of the major order component of the measured IAS spectrum
Control of Ship Roll Motion

The undesirable effects of roll motion of ships (rocking about the longitudinal axis) became noticeable in the mid-nineteenth century when significant changes were introduced to the design of ships as a result of sails being replaced by steam engines and the arrangement being changed from broad to narrow hulls. The combination of these changes led to lower transverse stability (lower restoring moment for a given angle of roll) with the consequence of larger roll motion. The increase in roll motion and its effect on cargo and human performance lead to the development several control devices that aimed at reducing and controlling roll motion. The control devices most commonly used today are fin stabilizers, rudder, anti-roll tanks, and gyrostabilizers. The use of different types of actuators for control of ship roll motion has been amply demonstrated for over 100 years. Performance, however, can still fall short of expectations because of difficulties associated with control system design, which have proven to be far from trivial due to fundamental performance limitations and large variations of the spectral characteristics of wave-induced roll motion. This short article provides an overview of the fundamentals of control design for ship roll motion reduction. The overview is limited to the most common control devices
Pursuit-Evasion Games and Zero-sum Two-person Differential Games

International audienceDifferential games arose from the investigation, by Rufus Isaacs in the 50's, of pursuit-evasion problems. In these problems, closed-loop strategies are of the essence, although defining what is exactly meant by this phrase, and what is the Value of a differential game, is difficult. For closed-loop strategies, there is no such thing as a " two-sided Maximum Principle " , and one must resort to the analysis of Isaacs' equation, a Hamilton Jacobi equation. The concept of viscosity solutions of Hamilton-Jacobi equations has helped solve several of these issues
Linear Quadratic Zero-Sum Two-Person Differential Games

International audienceAs in optimal control theory, linear quadratic (LQ) differential games (DG) can be solved, even in high dimension, via a Riccati equation. However, contrary to the control case, existence of the solution of the Riccati equation is not necessary for the existence of a closed-loop saddle point. One may " survive " a particular, non generic, type of conjugate point. An important application of LQDG's is the so-called H∞-optimal control, appearing in the theory of robust control
An overview of energy policy and security in the Pacific region

Purpose\ud
The Pacific Island Countries (PICs) are especially vulnerable to problems associated with energy security as some of them are small island nations and some of them have no energy access. For this reason, energy security is extremely important for the Pacific region in order to improve the quality of life and welfare of people there. As a basis one option would be to adapt an energy policy in these countries at the same time as providing alternative sources of energy to meet energy needs, such as renewable energy sources.\ud
Methodology\ud
This paper will give an overview of the existing energy policies in certain PICs and will highlight examples concerning energy security in the different PICs. It will also look into some of the ways that PICs are currently trying to increase energy security by highlighting examples of alternative sources of energy in the PICs.\ud
Findings\ud
The present paper is a result of cooperation during the “Small Developing Island Renewable Energy Knowledge and Technology Transfer Network (DIREKT),” which is a cooperation scheme involving universities from Germany, Fiji, Mauritius, Barbados, and Trinidad and Tobago. The aim of this project is to strengthen science and technology capacity in the field of RE in certain African, Caribbean, and Pacific (ACP) small island developing states by means of technology transfer, information exchange, and networking. The project is funded by the ACP Science and Technology Programme, an EU program for cooperation between the European Union and the ACP region
Reconfiguring Experimental Archaeology Using 3D Movement Reconstruction

The Motion in Place Platform was an infrastructure experiment which sought to provide a ‘deep’ mapping of reconstructed human movement. It was a collaboration between Animazoo, a Brighton-based motion hardware company, digital humanities and informatics researchers from the University of Sussex, King’s College London, and the University of Bedfordshire. Both 3D reconstruction and Virtual Reality (VR) in archaeology have been used to a great extent in the presentation and interpretation of archaeological sites in the past 20 years. However, there remains a predominant focus on their use as a means of illustration which, while enhancing the visual perception of the site, facilitates only passive consumption by the audience. This chapter reports on two linked experiments which sought to use motion capture technology to test the validity of digital reconstruction in exploring interpretations of the use of space, using domestic experimental round house buildings of the British Iron Age. Contemporary human movement was captured in a studio-based representation of a round house, and compared with comparable movements captured in an experimental reconstruction of the same environment. The results indicate significant quantitative variation in physical human responses to the two environments
Distributed UI on Interactive tabletops: issues and context model

International audienceThe User Interface distribution can also be applied on interactive tabletops which are connected and more or less remote. This distribution raises issues which concern collaboration (how to distribute the UI to collaborate?); besides, concerning the tangible interaction: which role and appearance (tangible or virtual) must have the objects? In this chapter we describe an extended context model in order to take into account both interactions on a single interactive tabletop and interactions which are distributed and collaborative. The model proposed can, from our point of view, be used to make sure that the usability of the interaction is guaranteed. Indeed, it is essential to know the interaction configuration in order to ensure the usability of the system. The model suggested is illustrated in a case study integrating collaboration and UI distribution. A conclusion gives the limits of the article before a presentation of prospects
Formal Languages and Compilation

This textbook describes the essential principles and methods used for defining the syntax of artificial languages, and for designing efficient parsing algorithms and syntax-directed translators with semantic attributes. A comprehensive selection of topics is presented within a rigorous, unified framework, illustrated by numerous practical examples. Features and topics: presents a novel conceptual approach to parsing algorithms that applies to extended BNF grammars, together with a parallel parsing algorithm; supplies supplementary teaching tools, including course slides and exercises with solutions, at an associated website; unifies the concepts and notations used in different approaches, enabling an extended coverage of methods with a reduced number of definitions; systematically discusses ambiguous forms, allowing readers to avoid pitfalls when designing grammars; describes all algorithms in pseudocode, so that detailed knowledge of a specific programming language is not necessary; makes extensive usage of theoretical models of automata, transducers and formal grammars; includes concise coverage of algorithms for processing regular expressions and finite automata; and introduces static program analysis based on flow equations. This clearly-written, classroom-tested textbook is an ideal guide to the fundamentals of this field for advanced undergraduate and graduate students in computer science and computer engineering. Some background in programming is required, and readers should also be familiar with basic set theory, algebra and logic
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

International audienceMany real-life large-scale datasets are open-ended and dynamic: new images are continuously added to existing classes, new classes appear over time, and the semantics of existing classes might evolve too. Therefore, we study large-scale image classification methods that can incorporate new classes and training images continuously over time at negligible cost. To this end we consider two distance-based classifiers, the k-nearest neighbor (k-NN) and nearest class mean (NCM) classifiers. Since the performance of distance-based classifiers heavily depends on the used distance function, we cast the problem into one of learning a low-rank metric, which is shared across all classes. For the NCM classifier we introduce a new metric learning approach, and we also introduce an extension to allow for richer class representations. Experiments on the ImageNet 2010 challenge dataset, which contains over one million training images of thousand classes, show that, surprisingly, the NCM classifier compares favorably to the more flexible k-NN classifier. Moreover, the NCM performance is comparable to that of linear SVMs which obtain current state-of-the-art performance. Experimentally we study the generalization performance to classes that were not used to learn the metrics. Using a metric learned on 1,000 classes, we show results for the ImageNet-10K dataset which contains 10,000 classes, and obtain performance that is competitive with the current state-of-the-art, while being orders of magnitude faster
Proposal for an Architectural Solution for Economic and Environmental Global Eco-Cost Assessment: Model Combination Analysis

This chapter highlights the complementarities of cost and environmental evaluation in a sustainable approach. Starting with the needs and limits for whole product lifecycle evaluation, this chapter begins with the modeling, data capture and performance indicator aspects. Next, the information issue, regarding the whole lifecycle of the product, is addressed. In order to go further than economical evaluation/assessment, the value concept (for a product or a service) is discussed. Value can combine functional requirements, cost objectives and environmental impact. Finally, knowledge issues are discussed, addressing the complexity of integrating multi-disciplinary expertise into the whole lifecycle of a product.EcoSD networ
Composite Fiber Recovery: Integration into a Design for Recycling Approach

In industry, the use of composites, and more specially carbon ﬁber/thermoset matrix ones, is ever increasing. However, end-of-life solutions for these materials are still under development. In this chapter, a solution linking design strategies with a recycling process based on the solvolysis of the matrix by water under supercritical conditions is proposed. The needs and multi-disciplinary skills required for (i) taking recycling possibilities into account from the early stages of the product design, and (ii) the necessity to standardize its recycling capabilities with design requirements, will both be discussed. The present chapter highlights the need for designers to take a functional approach into consideration, including material characterization, limits of the recycling process, constraints and opportunities. The ﬁrst lessons learned from experiments using this technique will be shown.EcoSD networ
Anticancer Gene Transfer for Cancer Gene Therapy

Gene therapy vectors are among the treatments currently used to treat malignant tumors. Gene therapy vectors use a specific therapeutic transgene that causes death in cancer cells. In early attempts at gene therapy, therapeutic transgenes were driven by non-specific vectors which induced toxicity to normal cells in addition to the cancer cells. Recently, novel cancer specific viral vectors have been developed that target cancer cells leaving normal cells unharmed. Here we review such cancer specific gene therapy systems currently used in the treatment of cancer and discuss the major challenges and future directions in this field
Play platforms for children’s creativity

Serie : Springer series on cultural computing, ISSN 2195-9056Children’s imagination and their natural need for exploration and discovery can be stimulated when they are in contact with rich contexts and environments (Van Scoter et al. 2001; Van Scoter 2008); this inherent tendency offers an enormous opportunity for researchers and designers to develop tools that unleash children’s potential, involving them in creating meaningful projects (Papert 1993). Research on this field has highlighted that well-design technological tools for children need to be compelling, support exploration, encourage creativity, develop curiosity and promote interaction and collaboration with peers while being simple and intuitive to use (Plowman et al. 2012; Resnick et al. 2005; Resnick and Silverman 2005).FCT, QREN, COMPETE, FEDRCIEC – Research Centre on Child Studies, IE, UMinho (FCT R&D unit 317), Portuga
Creating Creative Technologists: playing with(in) education

Since the industrial revolution, the organization of knowledge into distinct scientific, technical or creative categories has resulted in educational systems designed to produce and validate particular occupations. The methods by which students are exposed to different kinds of knowledge are critical in creating and reproducing individual, professional or cultural identities. (“I am an Engineer. You are an Artist”). The emergence of more open, creative and socialised technologies generates challenges for discipline-based education. At the same time, the term “Creative Technologies” also suggests a new occupational category (“I am a Creative Technologist”).

This chapter presents a case-study of an evolving ‘anti-disciplinary’ project-based degree that challenges traditional degree structures to stimulate new forms of connective, imaginative and explorative learning, and to equip students to respond to a changing world. Learning is conceived as an emergent process; self-managed by students through critique and open peer review. We focus on ‘playfulness’ as a methodology for achieving multi-modal learning across the boundaries of art, design, computer science, engineering, games and entrepreneurship. In this new cultural moment, playfulness also re-frames the institutional identities of teacher and learner in response to new expectations for learning
Spectroscopy and Electrochemistry of Peptide-Based Self-Assembled Monolayers

Mono and bi-component peptide-based self-assembled monolayers (SAMs)\ud
immobilized on a gold surface were studied by electrochemical and spectroscopic\ud
techniques. The peptides investigated were exclusively formed by Ca-tetrasubstituted\ud
amino acids. These residues, due to their peculiar conformational\ud
properties, constrain the peptide in a helical conformation, as confirmed by X-ray\ud
diffraction structure determinations, and Circular Dichroism and NMR experiments\ud
in solution. Both mono-and bi-component peptide SAMs were functionalized with\ud
electroactive, fluorescent chromophores strongly absorbing in the UV region.\ud
While electrochemical experiments indicated the formation of densely-packed\ud
films on the gold surface, fluorescence spectroscopy revealed the occurrence of\ud
aromatic-aromatic interactions between the pyrene units functionalizing the peptide\ud
chains, obtaining important information on the structural and dynamical properties\ud
of the peptide SAMs investigated
Imaginary eigenvalues and complex eigenvectors explained by real
  geometry

This paper first reviews how anti-symmetric matrices in two dimensions yield
imaginary eigenvalues and complex eigenvectors. It is shown how this carries on
to rotations by means of the Cayley transformation. Then a real geometric
interpretation is given to the eigenvalues and eigenvectors by means of real
geometric algebra. The eigenvectors are seen to be \textit{two component
eigenspinors} which can be further reduced to underlying vector duplets. The
eigenvalues are interpreted as rotation operators, which rotate the underlying
vector duplets. The second part of this paper extends and generalizes the
treatment to three dimensions. Finally the four-dimensional problem is stated.Comment: 11 page
Some Forecast Methods in Regression Models for Categorical Time Series

We are dealing with the prediction of forthcoming outcomes of a categorical time series. We will assume that the evolution of the time series is driven by a covariate process and by former outcomes and that the covariate process itself obeys an autoregressive law. Two forecasting methods are presented. The first is based on an integral formula for the probabilities of forthcoming events and by a Monte Carlo evaluation of this integral. The second method makes use of an approximation formula for conditional expectations. The procedures proposed are illustrated by an application to data on forest damages.
Nonzero-sum Stochastic Games

This paper treats of stochastic games. We focus on nonzero-sum games and provide a detailed survey of
selected recent results. In Section 1, we consider stochastic Markov games. A correlation of strategies of the players, involving ``public signals'', is described, and a correlated equilibrium theorem proved recently by Nowak and Raghavan for discounted stochastic games with general state space is presented. We also report an extension of this result to a class of undiscounted stochastic games, satisfying some uniform ergodicity condition. 
Stopping games are related to stochastic Markov games. In
Section 2, we describe a version of Dynkin's game related to
observation of a Markov process with random assignment mechanism of states to the players. Some recent contributions of the second author in this area are reported. The paper also contains a brief overview of the theory of nonzero-sum stochastic games and stopping games which is very far from being complete.
Spinor Formulations for Gravitational Energy-Momentum

We first describe a class of spinor-curvature identities (SCI) which have gravitational applications. Then we sketch the topic of gravitational energy-momentum, its connection with Hamiltonian boundary terms and the issues of positivity and (quasi)localization. Using certain SCIs several spinor expressions for the Hamiltonian have been constructed. One SCI leads to the celebrated Witten positive energy proof and the Dougan-Mason quasilocalization. We found two other SCIs which give alternate positive energy proofs and quasilocalizations. In each case the spinor field has a different role. These neat expressions for gravitational energy-momentum have much appeal. However it seems that such spinor formulations just have no room for angular momentum; which leads us to doubt that spinor formulations can really correctly capture the elusive gravitational energy-momentum
Noncommutative physics on Lie algebras, Z_2^n lattices and Clifford algebras

We survey noncommutative spacetimes with coordinates being enveloping algebras of Lie algebras. We also explain how to do differential geometry on noncommutative spaces that are obtained from commutative ones via a Moyal-product type cocycle twist, such as the noncommutative torus, $\theta$-spaces and Clifford algebras. The latter are noncommutative deformations of the finite lattice $(Z_2)^n$ and we compute their noncommutative de Rham cohomology and moduli of solutions of Maxwell's equations. We exactly quantize noncommutative U(1)-Yang-Mills theory on $Z_2\times Z_2$ in a path integral approach