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1. |
Record Nr. |
UNINA9910437818703321 |
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Autore |
Rimdusit Sarawut |
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Titolo |
Alloys and composites of polybenzoxazines : properties and applications / / Sarawut Rimdusit, Chancara Jubsilp, Sunan Tiptipakorn |
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Pubbl/distr/stampa |
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New York, : Springer, 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (ix, 159 pages) : illustrations (some color) |
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Collana |
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Altri autori (Persone) |
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JubsilpChancara |
TiptipakornSunan |
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Disciplina |
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Soggetti |
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Chemical engineering |
Alloys |
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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 and index. |
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Nota di contenuto |
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Introduction to Commercial Benzoxazine Resins -- Polybenzoxazine Alloys -- Highly Filled Systems of Polybenzoxazine -- High Thermal Conductivity of BN-Filled Polybenzoxazine -- Natural Fiber Polybenzoxazine Composites -- Polybenzoxazine Composites for Ballistic Armor Applications -- Electrical Conductivity of Filled Polybenzoxazine. |
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Sommario/riassunto |
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This book provides an introduction to the unique and fascinating properties of alloys and composites from novel commercialized thermosetting resins based on polybenzoxazines. Their outstanding properties such as processability, thermal, mechanical, electrical properties as well as ballistic impact properties of polybenzoxazine alloys and composites make them attractive for various applications in electronic packaging encapsulation, light weight ballistic armour composites and bipolar plate in fuel cells. |
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2. |
Record Nr. |
UNINA9910298385303321 |
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Autore |
Araghinejad Shahab |
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Titolo |
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering / / by Shahab Araghinejad |
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Pubbl/distr/stampa |
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Dordrecht : , : Springer Netherlands : , : 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 (XIII, 292 p. 142 illus., 79 illus. in color.) |
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Collana |
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Water Science and Technology Library, , 0921-092X ; ; 67 |
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Disciplina |
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Soggetti |
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Hydrogeology |
Hydrology |
Environmental sciences |
Water - Pollution |
Environmental monitoring |
Environmental management |
Hydrology/Water Resources |
Math. Appl. in Environmental Science |
Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution |
Monitoring/Environmental Analysis |
Environmental Management |
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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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Bibliographic Level Mode of Issuance: Monograph |
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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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Preface -- 1. Introduction -- 2. Basic Statistics -- 3. Regression Based Models -- 4. Time Series Modeling -- 5. Artificial Neural Networks -- 6. Support Vector Machines.- 7. Fuzzy Models -- 8. Hybrid Models and Multi Model Data Fusion -- Appendix -- Index. . |
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Sommario/riassunto |
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“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and |
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environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering. |
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