510 research outputs found
Adapting Gaskell: Screen and Stage Versions of Elizabeth Gaskell’s Fiction
No full textThis book offers a range of perspectives on Elizabeth Gaskell and adaptation. The contributors – Alan Shelston, Raffaella Antinucci, Thomas Recchio, Brenda McKay, Katherine Byrne, Patricia Marchesi, Marcia Marchesi and Loredana Salis – discuss the afterlives of Gaskell’s fiction, from the author as adaptor of her own work to the role of the BBC in re-inventing Gaskell’s narratives. The volume brings together a collection that tackles the remediation of Gaskell’s fiction from Gaskell’s own time to the 21st century, enabling her to join those authors, most prominently, Shakespeare, Austen and Dickens, who have received full-length book studies on adaptations of their work. The collection, as a whole, seems to confirm the notion that since the inception of film, the number of adaptations of an author’s work equates to the writer’s canonical status. No doubt, this book will prompt many more investigations into the adaptability of Elizabeth Gaskell’s fiction.
Remediating Gaskell: "North and South" and its BBC Adaptation, 2004
No full textThis book offers a range of perspectives on Elizabeth Gaskell and adaptation. The contributors – Alan Shelston, Raffaella Antinucci, Thomas Recchio, Brenda McKay, Katherine Byrne, Patricia Marchesi, Marcia Marchesi and Loredana Salis – discuss the afterlives of Gaskell’s fiction, from the author as adaptor of her own work to the role of the BBC in re-inventing Gaskell’s narratives. The volume brings together a collection that tackles the remediation of Gaskell’s fiction from Gaskell’s own time to the 21st century, enabling her to join those authors, most prominently, Shakespeare, Austen and Dickens, who have received full-length book studies on adaptations of their work. The collection, as a whole, seems to confirm the notion that since the inception of film, the number of adaptations of an author’s work equates to the writer’s canonical status. No doubt, this book will prompt many more investigations into the adaptability of Elizabeth Gaskell’s fiction
Foreword
No full textThis book offers a range of perspectives on Elizabeth Gaskell and adaptation. The contributors – Alan Shelston, Raffaella Antinucci, Thomas Recchio, Brenda McKay, Katherine Byrne, Patricia Marchesi, Marcia Marchesi and Loredana Salis – discuss the afterlives of Gaskell’s fiction, from the author as adaptor of her own work to the role of the BBC in re-inventing Gaskell’s narratives. The volume brings together a collection that tackles the remediation of Gaskell’s fiction from Gaskell’s own time to the 21st century, enabling her to join those authors, most prominently, Shakespeare, Austen and Dickens, who have received full-length book studies on adaptations of their work. The collection, as a whole, seems to confirm the notion that since the inception of film, the number of adaptations of an author’s work equates to the writer’s canonical status. No doubt, this book will prompt many more investigations into the adaptability of Elizabeth Gaskell’s fiction.
Loredana Magazzeni, Operaie della penna. Donne, docenti e libri scolastici fra Ottocento e Novecento
No full textReview of the book Operaie della penna. Donne, docenti e libri scolastici fra Ottocento e Novecento by Loredana Magazzeni.Recensione del libro Operaie della penna. Donne, docenti e libri scolastici fra Ottocento e Novecento di Loredana Magazzeni
The Modeling of the ERP Systems within Parallel Calculus
No full textAs we know from a few years, the basic characteristics of ERP systems are: modular-design, central common database, integration of the modules, data transfer between modules done automatically, complex systems and flexible configuration. Because this, is obviously a parallel approach to design and implement them within parallel algorithms, parallel calculus and distributed databases. This paper aims to support these assertions and provide a model, in summary, what could be an ERP system based on parallel computing and algorithms.ERP Systems, Modeling, Parallel Calculus, Incremental Model
About Parallel Programming: Paradigms, Parallel Execution and Collaborative Systems
No full textIn the last years, there were made efforts for delineation of a stabile and unitary frame, where the problems of logical parallel processing must find solutions at least at the level of imperative languages. The results obtained by now are not at the level of the made efforts. This paper wants to be a little contribution at these efforts. We propose an overview in parallel programming, parallel execution and collaborative systems.Parallel Programming, Parallel Execution, Collaborative systems, Collaborative parallel execution
A data-driven prognostic approach based on statistical similarity: An application to industrial circuit breakers
No full textIn this paper, a data-driven prognostic algorithm for the estimation of the Remaining Useful Life (RUL) of a product is proposed. It is based on the acquisition and exploitation of run-to-failure data of homogeneous products, in the followings referred as fleet of products. The algorithm is able to detect the set of products (sub-fleet of products) showing highest degradation pattern similarity with the one under study and exploits the related monitoring data for a reliable prediction of the RUL. In particular, a novel methodology for the sub-fleet identification is presented and compared with other solution found in literature. The results obtained for a real application case as Medium and High Voltage Circuit Breaker, have shown a high prognostic power for the algorithm, which therefore represents a potential tool for an effective Predictive Maintenance (PdM) strategy
AN E-BROKERAGE APPROACH BASED ON MULTI-AGENT TECHNOLOGY
No full textIn this paper the author shows the importance of multi-agent system in the e-commerce domain, specially for brokerage. He also propose an agent-based architecture for brokerage and a structure for the intelligent broker. The structure may be seen like a multi-agent system, having intelligent agents that are doing specific tasks for brokerage activity. In the end, conclusions reveal some aspects that may be start points for future researches.E-commerce, intelligent agent, brokerage, multi-agent systems.
Integrated Planar Solid Oxide Fuel Cell: Steady-State Model of a Bundle and Validation through Single Tube Experimental Data
No full textThis work focuses on a steady-state model developed for an integrated planar solid oxide fuel cell (IP-SOFC) bundle. In this geometry, several single IP-SOFCs are deposited on a tube and electrically connected in series through interconnections. Then, several tubes are coupled to one another to form a full-sized bundle. A previously-developed and validated electrochemical model is the basis for the development of the tube model, taking into account in detail the presence of active cells, interconnections and dead areas. Mass and energy balance equations are written for the IP-SOFC tube, in the classical form adopted for chemical reactors. Based on the single tube model, a bundle model is developed. Model validation is presented based on single tube current-voltage (I-V) experimental data obtained in a wide range of experimental conditions, i.e., at different temperatures and for different H2/CO/CO2/CH4/H2O/N2 mixtures as the fuel feedstock. The error of the simulation results versus I-V experimental data is less than 1% in most cases, and it grows to a value of 8% only in one case, which is discussed in detail. Finally, we report model predictions of the current density distribution and temperature distribution in a bundle, the latter being a key aspect in view of the mechanical integrity of the IP-SOFC structure
An algorithm for data-driven prognostics based on statistical analysis of condition monitoring data on a fleet level
No full textThe availability of condition monitoring data for large sets of homogeneous products (in the following referred as a fleet) motivates the development of new data-driven prognostic algorithms. In this paper, an intuitive and an innovative data-driven algorithm to predict the health and, consequently, the Residual Useful Lifetime (RUL) of a product are proposed. The algorithm is based on the extraction and exploitation of knowledge at a fleet level. The fleet-specific usage and the degradation profile are extracted by statistically analyzing the condition monitoring data of all the products that's belongs to the fleet. The extracted knowledge, in terms of statistical distribution of health condition and sampling time, is then exploited to predict the health and RUL of a product in the fleet. The algorithm described in this paper is able to predict the RUL of a product with a good credibility even for observation window lengths that are smaller compared to the lifetime of the product
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