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"This book offers the edition, translation into French and analysis of all the chancery documents (in Arabic, Latin and Italian) concerning the relations established between Florence and the Mamluk sultanate between 1422 and 1510. Taking into consideration the achievements made in recent decades in the field of Mamluk diplomatics, this work corrects several errors and inaccuracies contained in previous editions as well as presents some unpublished documents. An introduction addresses the historical framework of diplomatic relations and examines the characteristics of the sources. A rich body of explanatory notes and a glossary analyze their content. The sources published in this volume constitute the historical testimony available for outlining the framework of the diplomatic exchanges maintained by the City of the Lily and Mamluk Cairo. Cet ouvrage présente l'édition, la traduction en français et l'analyse de tous les documents de chancellerie (en arabe, latin et italien) concernant les relations établies entre Florence et le sultanat mamelouk entre 1422 et 1510. Prenant en compte les recherches accomplies au cours des dernières décennies dans le domaine des études diplomatiques, ce travail corrige plusieurs erreurs et inexactitudes contenues dans les précédentes éditions de ces sources et contient quelques documents inédits. Une introduction aborde le cadre historique des relations diplomatiques et examine les caractéristiques des sources. Un riche ensemble de notes explicatives et un glossaire analysent leur contenu. Les sources publiées dans ce volume constituent le témoignage historique disponible pour tracer le cadre des échanges diplomatiques entretenus par la Ville du Lys et Le Caire mamelouk"--

Mamelukes. --- Egypt --- Florence (Italy) --- Syria --- Foreign relations --- Geschichte 1422-1510 --- Firenze --- Mameluckenreich

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NATO

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Soft sensors are inferential estimators, drawing conclusions from process observations when hardware sensors are unavailable or unsuitable; they have an important auxiliary role in sensor validation when performance declines through senescence or fault accumulation. The non-linear behaviour exhibited by many industrial processes can be usefully modelled with the techniques of computational intelligence: neural networks; fuzzy systems and nonlinear partial least squares. Soft Sensors for Monitoring and Control of Industrial Processes underlines the real usefulness of each approach and the sensitivity of the individual steps in soft-sensor design to the choice of one or the other. Design paths are suggested and readers shown how to evaluate the effects of their choices. All the case studies reported, resulting from collaborations between the authors and a number of industrial partners, raised challenging soft-sensor-design problems. The applications of soft sensors presented in this volume are designed to cope with the whole range from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation. Some of the soft sensors developed here are implemented on-line at industrial plants. Features: • soft-sensor design; • advice on data selection and choice of model structure; • model validation; • strategies for the improvement of soft-sensor performance; • uses of soft sensors in fault detection and sensor validation; • soft sensors in use in industrial applications such as a debutanizer column and a sulfur recovery unit. This monograph guides interested readers – researchers, graduate students and industrial process technologists – through the design of their own soft sensors. It is self-contained with full references and appraisal of existing literature and data sets for some of the case studies can be downloaded from springer.com. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Detectors --- Manufacturing processes --- Process control --- Design and construction. --- Mathematical models. --- Control of industrial processes --- Industrial process control --- Automatic control --- Quality control --- Industrial engineering. --- Chemical engineering. --- Telecommunication. --- Artificial intelligence. --- Industrial and Production Engineering. --- Control and Systems Theory. --- Information Systems Applications (incl. Internet). --- Industrial Chemistry/Chemical Engineering. --- Communications Engineering, Networks. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Production engineering. --- Control engineering. --- Application software. --- Electrical engineering. --- Electric engineering --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering

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Applied physical engineering --- Engineering sciences. Technology --- Mass communications --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- procesautomatisering --- ICT (informatie- en communicatietechnieken) --- BIT (biochemische ingenieurstechnieken) --- informatiesystemen --- ingenieurswetenschappen --- robots --- communicatietechnologie --- regeltechniek

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The paradigm of complexity is pervading both science and engineering, leading to the emergence of novel approaches oriented at the development of a systemic view of the phenomena under study; the definition of powerful tools for modelling, estimation, and control; and the cross-fertilization of different disciplines and approaches. This book is devoted to networked systems which are one of the most promising paradigms of complexity. It is demonstrated that complex, dynamical networks are powerful tools to model, estimate, and control many interesting phenomena, like agent coordination, synchronization, social and economics events, networks of critical infrastructures, resources allocation, information processing, or control over communication networks. Moreover, it is shown how the recent technological advances in wireless communication and decreasing in cost and size of electronic devices are promoting the appearance of large inexpensive interconnected systems, each with computational, sensing and mobile capabilities.

Ergodic theory. Information theory --- Classical mechanics. Field theory --- Statistical physics --- Engineering sciences. Technology --- Mass communications --- analyse (wiskunde) --- theoretische fysica --- ingenieurswetenschappen --- communicatietechnologie --- dynamica --- informatietheorie