03800nam 22005295 450 991057189170332120231117154703.09781644698266164469826910.1515/9781644698266(CKB)5860000000049215(DE-B1597)632884(DE-B1597)9781644698266(MiAaPQ)EBC6977609(Au-PeEL)EBL6977609(OCoLC)1334344722(ScCtBLL)3d19c1f4-96e3-4a65-a91b-d4a4976c3029(EXLCZ)99586000000004921520220629h20222022 fg engur||#||||||||txtrdacontentcrdamediacrrdacarrierPiezoelectric Electromechanical Transducers for Underwater SoundPart IISubsystems of the electroacoustic transducers /Boris S. Aronov1st ed.Boston, MA :Academic Studies Press,[2022]©20221 online resource (444 p.)9781644698228 1644698226 Frontmatter --PREFACE --TABLE OF CONTENTS --CHAPTER 4 VIBRATION OF ELASTIC BODIES --CHAPTER 5 ELECTROMECHANICAL CONVERSION --CHAPTER 6 ACOUSTIC RADIATION --LIST OF SYMBOLS --APPENDIX A. Properties of Passive Materials --APPENDIX B. Properties of Piezoelectric Ceramics --APPENDIX C. Special FunctionsThe book presents a broad-scope analysis of piezoelectric electromechanical transducers and the related aspects of practical transducer design for underwater applications. It uses an energy method for analyzing transducer problems that provides the physical insight important for the understanding of electromechanical devices. Application of the method is first illustrated with transducer examples that can be modeled as systems with a single degree of freedom, (such as spheres, short cylinders, bars and flexural disks and plates made of piezoelectric ceramics). Thereupon, transducers are modeled as devices with multiple degrees of freedom. In all these cases, results of modeling are presented in the form of equivalent electromechanical circuits convenient for the calculation of the transducers’ operational characteristics. Special focus is made on the effects of coupled vibrations in mechanical systems on transducer performance. The book also provides extensive coverage of acoustic radiation including acoustic interaction between the transducers. The book is inherently multidisciplinary. It provides essential background regarding the vibration of elastic passive and piezoelectric bodies, piezoelectricity, acoustic radiation, and transducer characterization. Scientists and engineers working in the field of electroacoustics and those involved in education in the field will find this material useful not only for underwater acoustics, but also for electromechanics, energy conversion and medical ultrasonics. Part II contains general information on vibration of mechanical systems, electromechanical conversion in the deformed piezoceramic bodies, and acoustic radiation that can be used independently for treatment transducers of different type.Piezoelectric transducersUnderwater acousticsTechnology & Engineering / Acoustics & SoundbisacshPiezoelectric transducers.Underwater acoustics.Technology & Engineering / Acoustics & Sound.681.2Aronov B. S(Boris Samuilovich),authttp://id.loc.gov/vocabulary/relators/aut0DE-B1597DE-B1597BOOK9910571891703321Piezoelectric Electromechanical Transducers for Underwater Sound3594539UNINA06825nam 22008415 450 991048403660332120251226203419.03-540-87481-X10.1007/978-3-540-87481-2(CKB)1000000000490767(SSID)ssj0000715705(PQKBManifestationID)11413778(PQKBTitleCode)TC0000715705(PQKBWorkID)10703646(PQKB)10920533(DE-He213)978-3-540-87481-2(MiAaPQ)EBC3063242(MiAaPQ)EBC6414054(PPN)128126426(EXLCZ)99100000000049076720100301d2008 u| 0engurnn|008mamaatxtccrMachine Learning and Knowledge Discovery in Databases European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II /edited by Walter Daelemans, Katharina Morik1st ed. 2008.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2008.1 online resource (XXIII, 698 p.) Lecture Notes in Artificial Intelligence,2945-9141 ;5212Includes index.3-540-87480-1 Includes bibliographical references and index.Regular Papers -- Exceptional Model Mining -- A Joint Topic and Perspective Model for Ideological Discourse -- Effective Pruning Techniques for Mining Quasi-Cliques -- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain -- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs -- A New Natural Policy Gradient by Stationary Distribution Metric -- Towards Machine Learning of Grammars and Compilers of Programming Languages -- Improving Classification with Pairwise Constraints: A Margin-Based Approach -- Metric Learning: A Support Vector Approach -- Support Vector Machines, Data Reduction, and Approximate Kernel Matrices -- Mixed Bregman Clustering with Approximation Guarantees -- Hierarchical, Parameter-Free Community Discovery -- A Genetic Algorithm for Text Classification Rule Induction -- Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness -- Kernel-Based Inductive Transfer -- State-Dependent Exploration for Policy Gradient Methods -- Client-Friendly Classification over Random Hyperplane Hashes -- Large-Scale Clustering through Functional Embedding -- Clustering Distributed Sensor Data Streams -- A Novel Scalable and Data Efficient Feature Subset Selection Algorithm -- Robust Feature Selection Using Ensemble Feature Selection Techniques -- Effective Visualization of Information Diffusion Process over Complex Networks -- Actively Transfer Domain Knowledge -- A Unified View of Matrix Factorization Models -- Parallel Spectral Clustering -- Classification of Multi-labeled Data: A Generative Approach -- Pool-Based Agnostic Experiment Design in Linear Regression -- Distribution-Free Learning of Bayesian Network Structure -- Assessing Nonlinear Granger Causality from Multivariate Time Series -- Clustering Via Local Regression -- Decomposable Families of Itemsets -- Transferring Instances for Model-Based Reinforcement Learning -- A Simple Model for Sequences of Relational State Descriptions -- Semi-Supervised Boosting for Multi-Class Classification -- A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis -- Transferred Dimensionality Reduction -- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model -- Estimating Sales Opportunity Using Similarity-Based Methods -- Learning MDP Action Models Via Discrete Mixture Trees -- Continuous Time Bayesian Networks for Host Level Network Intrusion Detection -- Data Streaming with Affinity Propagation -- Semi-supervised Discriminant Analysis Via CCCP -- Demo Papers -- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains -- Pleiades: Subspace Clustering and Evaluation -- SEDiL: Software for Edit Distance Learning -- Monitoring Patterns through an Integrated Management and Mining Tool -- A Knowledge-Based Digital Dashboard for Higher Learning Institutions -- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.Lecture Notes in Artificial Intelligence,2945-9141 ;5212Artificial intelligenceDatabase managementInformation storage and retrieval systemsMachine theoryAlgorithmsComputer scienceMathematicsMathematical statisticsArtificial IntelligenceDatabase ManagementInformation Storage and RetrievalFormal Languages and Automata TheoryAlgorithmsProbability and Statistics in Computer ScienceArtificial intelligence.Database management.Information storage and retrieval systems.Machine theory.Algorithms.Computer scienceMathematics.Mathematical statistics.Artificial Intelligence.Database Management.Information Storage and Retrieval.Formal Languages and Automata Theory.Algorithms.Probability and Statistics in Computer Science.006.31Morik KatharinaDaelemans WalterMiAaPQMiAaPQMiAaPQBOOK9910484036603321Machine Learning and Knowledge Discovery in Databases3568347UNINA