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Record Nr. |
UNINA9910830935403321 |
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Autore |
Burbank Jack |
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Titolo |
An introduction to network modeling and simulation for the practicing engineer / / Jack Burbank, William Kasch, Jon Ward |
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Pubbl/distr/stampa |
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Picataway : , : IEEE Press, , c2011 |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2011] |
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ISBN |
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1-283-23977-9 |
9786613239778 |
1-118-06364-3 |
1-118-06363-5 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (217 p.) |
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Collana |
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The comsoc guides to communications technologies ; ; 5 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Communication and technology |
Simulation methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Modeling and Simulation for RF Propagation -- Physical Layer Modeling and Simulation -- Medium Access Control Modeling and Simulation -- Modeling and Simulation for Higher Layer Protocols -- Hardware-in-the-Loop Simulations -- Complete Network Modeling and Simulation -- Other Vital Aspects of Successful Network Modeling and Simulation -- Network Modeling and Simulation: Summary. |
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Sommario/riassunto |
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Clear guidelines and rules for using the latest modeling and simulation toolsWith this practical guide as a reference, engineers and students can select and take full advantage of the best tools for network modeling and simulation (M&S). It alerts readers to all the potential pitfalls that can occur in developing and implementing network M&S, offering a clear set of rules to streamline the entire process and ensure the validity of results. The book focuses on wireless network M&S; however, the authors' expert advice, based on their own firsthand experience and review of the current literature, is applicable to network M&S in general.An Introduction to Network Modeling and Simulation for |
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the Practicing Engineer begins with a brief summary of the advantages and disadvantages of M&S as well as an overview of common M&S tools. Next, it explores the core components of wireless network M&S:. Radio frequency propagation M&S. Physical layer M&S. Medium access control M&S. Higher layer M&SAfter discussing each of these components, the authors explain how they can be integrated in order to perform M&S of a complete wireless networking system. Throughout the book, examples guide readers through each M&S task, with descriptive diagrams providing additional clarification.In many cases, M&S is the only viable way to understand the behavior of a proposed network prior to its deployment. Working with An Introduction to Network Modeling and Simulation for the Practicing Engineer, readers can ensure that their models and simulations are as accurate a reflection of reality as possible. |
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2. |
Record Nr. |
UNINA9910298988503321 |
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Titolo |
Research and Development in Intelligent Systems XXXI : Incorporating Applications and Innovations in Intelligent Systems XXII / / edited by Max Bramer, Miltos Petridis |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (333 p.) |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Research and Development in Intelligent Systems XXXI Best Technical Paper -- On Ontological Expressivity and Modelling Argumentation Schemes using COGUI -- Knowledge Discovery and Data Mining -- Computationally Efficient Rule-Based Classification for Continuous Streaming Data -- Improved Stability of Feature Selection by Combining Instance and Feature Weighting -- Towards a parallel Computationally Efficient Approach to Scaling up Data Stream Classification -- Machine Learning.-Following the Trail of Source Languages in Literary Translations -- Reluctant Reinforcement Learning -- Preference and Sentiment Guided Social Recommendations with Temporal Dynamics -- Agents, Ontologies and Genetic Programming.-Query Failure Explanation in Inconsistent Knowledge Bases: A Dialogical Approach -- Benchmarking Grammar-Based Genetic Programming Algorithms -- The Effects of Bounding Rationality on the Performance and Learning of CHREST Agents in Tileworld -- Short Papers -- An Autopoietic Repertoire -- De-Risking Fleet Replacement Decisions -- Reliability and Effectiveness of Cross-Validation in Feature Selection -- Self Reinforced Meta Learning for Belief Generation -- Applications and Innovations in Intelligent Systems XXII Best Application Paper -- Combining Semantic Web Technologies with Evolving Fuzzy Classifier eClass for EHR-based Phenotyping: A Feasibility Study -- Evolutionary Algorithms/Dynamic Modelling -- Rail-Freight Crew Scheduling with a Genetic Algorithm -- CR-Modified SOM to the Problem of Handwritten Digits Recognition -- Dynamic Place Profiles from Geo-Folksonomies on the GeoSocial Web -- Planning and Optimisation -- Hierarchical Type-2 Fuzzy Logic Based Real Time Dynamic Operational Planning System -- A Hybrid Algorithm for Solving Gate Assignment Problem with Robustness and Tow Considerations -- An Iterative Heuristics Algorithm for Solving the Integrated Aircraft and Passenger Recovery Problem -- Machine Learning and Data Mining.-A Framework for Brand Reputation Mining and Visualisation -- A Review of Voice Activity Detection Techniques for On - device Isolated Digit Recognition on Mobile Devices -- Short Papers -- Ontology-Based Information Extraction and Reservoir Computing for Topic Detection from Blogosphere's content: A Case Study about BBC Backstage -- A Study on Road Junction Control Method Selection Using an Artificial Intelligent Multi-Criteria Decision Making Framework. |
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Sommario/riassunto |
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The papers in this volume are the refereed papers presented at AI-2014, the Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2014 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning, and Agents, Ontologies and Genetic Programming, followed by application stream sections on Evolutionary Algorithms/Dynamic Modelling, Planning and Optimisation, and Machine Learning and Data Mining. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-first volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-second volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field. |
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