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Author: Publisher: ISBN: Category : Digital Object Identifiers Languages : en Pages :
Book Description
This paper looks at the following issues involved in assuring the long term availability of references and citations made to digital objects in the context of open access on the Internet: i) The role of persistent identifiers in ensuring consistent availability and accessibility of resources in an open networked environment ii) Existing schemes for persistent identifiers and the long-term considerations involved in establishing naming systems, and the local and global considerations which must be addressed iii) Immediate options available to the National Library of Australia iv) Recommended courses of action.
Author: Publisher: ISBN: Category : Digital Object Identifiers Languages : en Pages :
Book Description
This paper looks at the following issues involved in assuring the long term availability of references and citations made to digital objects in the context of open access on the Internet: i) The role of persistent identifiers in ensuring consistent availability and accessibility of resources in an open networked environment ii) Existing schemes for persistent identifiers and the long-term considerations involved in establishing naming systems, and the local and global considerations which must be addressed iii) Immediate options available to the National Library of Australia iv) Recommended courses of action.
Author: Luciano Pandolfi Publisher: Springer Nature ISBN: 3030802817 Category : Science Languages : en Pages : 365
Book Description
This text addresses systems with persistent memory that are common mathematical models used in the study of viscoelasticity and thermodynamics with memory. In particular, this class of systems is used to model non-Fickian diffusion in the presence of complex molecular structures. Hence, it has wide applications in biology. The book focuses on the properties and controllability of the archetypal heat and wave equations with memory and introduces the dynamic approach to identification problems and the basic techniques used in the study of stability. The book presents several approaches currently used to study systems with persistent memory: Volterra equation in Hilbert spaces, Laplace transform techniques and semigroup methods. The text is intended for a diverse audience in applied mathematics and engineering and it can be used in PhD courses. Readers are recommended to have a background in the elements of functional analysis. Topics of functional analysis which younger readers may need to familiarize with are presented in the book.
Author: N.K. Sinha Publisher: Springer Science & Business Media ISBN: 9401135584 Category : Technology & Engineering Languages : en Pages : 641
Book Description
In view of the importance of system identification, the International Federation of Automatic Control (IFAC) and the International Federation of Operational Research Societies (IFORS) hold symposia on this topic every three years. Interest in continuous time approaches to system identification has been growing in recent years. This is evident from the fact that the of invited sessions on continuous time systems has increased from one in the 8th number Symposium that was held in Beijing in 1988 to three in the 9th Symposium in Budapest in 1991. It was during the 8th Symposium in August 1988 that the idea of bringing together important results on the topic of Identification of continuous time systems was conceived. Several distinguished colleagues, who were with us in Beijing at that time, encouraged us by promising on the spot to contribute to a comprehensive volume of collective work. Subsequently, we contacted colleagues all over the world, known for their work in this area, with a formal request to contribute to the proposed volume. The response was prompt and overwhelmingly encouraging. We sincerely thank all the authors for their valuable contributions covering various aspects of identification of continuous time systems.
Author: Hans-Werner Hilse Publisher: ISBN: 9789069845081 Category : Computer network resources Languages : en Pages : 57
Book Description
This report was written to explain the principle of persistent identifiers and help institutions decide which scheme would best fit their needs. It discusses Handles, Digital Object Identifiers (DOIs), Archival Resource Keys (ARKs), Persistent Uniform Resource Locators (PURLs), Uniform Resource Names (URNs), National Bibliographical Numbers (NBNs), and the Open URL, providing examples and extensive references for each.
Author: Oliver Wannenwetsch Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Research data occurs in all scientific experiments, computer simulations, observations or as a derivation from other datasets, literature or publications. As a subset of the general concept of digital data, it is classified through its distinct state and its origin. Enriched with descriptive metadata, research data serves as a foundation for discoveries and publishing results in various formats. For citing and linking specific research datasets and publications, unique and persistent identification is necessary. Today, this is realized by Persistent Identifier (PID) systems that provide sta...
Author: Hugues Garnier Publisher: Springer Science & Business Media ISBN: 1848001614 Category : Technology & Engineering Languages : en Pages : 413
Book Description
This is the first book dedicated to direct continuous-time model identification for 15 years. It cuts down on time spent hunting through journals by providing an overview of much recent research in an increasingly busy field. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. This is a valuable reference for a broad audience.
Author: Karel J. Keesman Publisher: Springer Science & Business Media ISBN: 0857295225 Category : Technology & Engineering Languages : en Pages : 334
Book Description
System Identification shows the student reader how to approach the system identification problem in a systematic fashion. The process is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation, each of which is the subject of one or more parts of the text. Following an introduction on system theory, particularly in relation to model representation and model properties, the book contains four parts covering: • data-based identification – non-parametric methods for use when prior system knowledge is very limited; • time-invariant identification for systems with constant parameters; • time-varying systems identification, primarily with recursive estimation techniques; and • model validation methods. A fifth part, composed of appendices, covers the various aspects of the underlying mathematics needed to begin using the text. The book uses essentially semi-physical or gray-box modeling methods although data-based, transfer-function system descriptions are also introduced. The approach is problem-based rather than rigorously mathematical. The use of finite input–output data is demonstrated for frequency- and time-domain identification in static, dynamic, linear, nonlinear, time-invariant and time-varying systems. Simple examples are used to show readers how to perform and emulate the identification steps involved in various control design methods with more complex illustrations derived from real physical, chemical and biological applications being used to demonstrate the practical applicability of the methods described. End-of-chapter exercises (for which a downloadable instructors’ Solutions Manual is available from fill in URL here) will both help students to assimilate what they have learned and make the book suitable for self-tuition by practitioners looking to brush up on modern techniques. Graduate and final-year undergraduate students will find this text to be a practical and realistic course in system identification that can be used for assessing the processes of a variety of engineering disciplines. System Identification will help academic instructors teaching control-related to give their students a good understanding of identification methods that can be used in the real world without the encumbrance of undue mathematical detail.
Author: Timo Steffens Publisher: Springer Nature ISBN: 3662613131 Category : Computers Languages : en Pages : 207
Book Description
An increasing number of countries develop capabilities for cyber-espionage and sabotage. The sheer number of reported network compromises suggests that some of these countries view cyber-means as integral and well-established elements of their strategical toolbox. At the same time the relevance of such attacks for society and politics is also increasing. Digital means were used to influence the US presidential election in 2016, repeatedly led to power outages in Ukraine, and caused economic losses of hundreds of millions of dollars with a malfunctioning ransomware. In all these cases the question who was behind the attacks is not only relevant from a legal perspective, but also has a political and social dimension. Attribution is the process of tracking and identifying the actors behind these cyber-attacks. Often it is considered an art, not a science. This book systematically analyses how hackers operate, which mistakes they make, and which traces they leave behind. Using examples from real cases the author explains the analytic methods used to ascertain the origin of Advanced Persistent Threats.
Author: Allamaraju Subrahmanyam Publisher: CRC Press ISBN: 1000732622 Category : Technology & Engineering Languages : en Pages : 143
Book Description
Models of dynamical systems are required for various purposes in the field of systems and control. The models are handled either in discrete time (DT) or in continuous time (CT). Physical systems give rise to models only in CT because they are based on physical laws which are invariably in CT. In system identification, indirect methods provide DT models which are then converted into CT. Methods of directly identifying CT models are preferred to the indirect methods for various reasons. The direct methods involve a primary stage of signal processing, followed by a secondary stage of parameter estimation. In the primary stage, the measured signals are processed by a general linear dynamic operation—computational or realized through prefilters, to preserve the system parameters in their native CT form—and the literature is rich on this aspect. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation, Allamaraju Subrahmanyam and Ganti Prasada Rao consider CT system models that are linear in their unknown parameters and propose robust methods of estimation. This book complements the existing literature on the identification of CT systems by enhancing the secondary stage through linear and robust estimation. In this book, the authors provide an overview of CT system identification, consider Markov-parameter models and time-moment models as simple linear-in-parameters models for CT system identification, bring them into mainstream model parameterization via basis functions, present a methodology to robustify the recursive least squares algorithm for parameter estimation of linear regression models, suggest a simple off-line error quantification scheme to show that it is possible to quantify error even in the absence of informative priors, and indicate some directions for further research. This modest volume is intended to be a useful addition to the literature on identifying CT systems.
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Author: CENDI Persistent Identification Task Group
Author: Luciano Pandolfi
Author: N.K. Sinha
Author: Hans-Werner Hilse
Author: Oliver Wannenwetsch
Author: Hugues Garnier
Author: Karel J. Keesman
Author: Timo Steffens
Author: Allamaraju Subrahmanyam