Iusti Lipsi de constantia libri duo [[electronic resource] ] : qui alloquium præcipuè continent in publicis malis

• Record Nr.: UNISA996393539403316
• Autore: Lipsius Justus <1547-1606.>
• Pubbl/distr/stampa: Londini, : Impensis Geor. Bishop, 1586
• Edizione: [Iterata editio, melior & notis auctior.]
• Descrizione fisica: [13], 86, [20] p
• Soggetti: Constancy; Conduct of life
• Lingua di pubblicazione: Latino
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Signatures: A-G⁸ H⁴.; Marginal notes.; Imperfect: t.p. torn.; Reproduction of original in the Cambridge University Library.
• Sommario/riassunto: eebo-0021

Advances in fuzzy clustering and its applications [[electronic resource] /] / edited by J. Valente de Oliveira, W. Pedrycz

• Record Nr.: UNINA9910830897803321
• Pubbl/distr/stampa: Chichester, : Wiley, c2007
• ISBN: 1-280-90081-4; 9786610900817; 0-470-06119-7; 0-470-06118-9
• Descrizione fisica: 1 online resource (456 p.)
• Classificazione: 54.72
• Altri autori (Persone): OliveiraJ. Valente de (José Valente); PedryczWitold <1953->
• Disciplina: 006.3
• Soggetti: Fuzzy systems; Soft computing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Advances in Fuzzy Clustering and its Applications; Contents; List of Contributors; Foreword; Preface; Part I Fundamentals 1; 1 Fundamentals of Fuzzy Clustering; 1.1 Introduction; 1.2 Basic Clustering Algorithms; 1.3 Distance Function Variants; 1.4 Objective Function Variants; 1.5 Update Equation Variants: Alternating Cluster Estimation; 1.6 Concluding Remarks; Acknowledgements; References; 2 Relational Fuzzy Clustering; 2.1 Introduction; 2.2 Object and Relational Data; 2.3 Object Data Clustering Models; 2.4 Relational Clustering; 2.5 Relational Clustering with Non-spherical Prototypes; 2.6 Relational Data Interpreted as Object Data2.7 Summary; 2.8 Experiments; 2.9 Conclusions; References; 3 Fuzzy Clustering with Minkowski Distance Functions; 3.1 Introduction; 3.2 Formalization; 3.3 The Majorizing Algorithm for Fuzzy C-means with Minkowski Distances; 3.4 The Effects of the Robustness Parameterl; 3.5 Internet Attitudes; 3.6 Conclusions; References; 4 Soft Cluster Ensembles; 4.1 Introduction; 4.2 Cluster Ensembles; 4.3 Soft Cluster Ensembles; 4.4 Experimental Setup; 4.5 Soft vs. Hard Cluster Ensembles; 4.6 Conclusions and Future Work; Acknowledgements; References; Part II Visualization5 Aggregation and Visualization of Fuzzy Clusters Based on Fuzzy Similarity Measures; 5.1 Problem Definition; 5.2 Classical Methods for Cluster Validity and Merging; 5.3 Similarity of Fuzzy Clusters; 5.4 Visualization of Clustering Results; 5.5 Conclusions; Appendix 5A.1 Validity Indices; Appendix 5A.2 The Modified Sammon Mapping Algorithm; Acknowledgements; References; 6 Interactive Exploration of Fuzzy Clusters; 6.1 Introduction; 6.2 Neighborgram Clustering; 6.3 Interactive Exploration; 6.4 Parallel Universes; 6.5 Discussion; References; Part III Algorithms and Computational Aspects7 Fuzzy Clustering with Participatory Learning and Applications; 7.1 Introduction; 7.2 Participatory Learning; 7.3 Participatory Learning in Fuzzy Clustering; 7.4 Experimental Results; 7.5 Applications; 7.6 Conclusions; Acknowledgements; References; 8 Fuzzy Clustering of Fuzzy Data; 8.1 Introduction; 8.2 Informational Paradigm, Fuzziness and Complexity in Clustering Processes; 8.3 Fuzzy Data; 8.4 Fuzzy Clustering of Fuzzy Data; 8.5 An Extension: Fuzzy Clustering Models for Fuzzy Data Time Arrays; 8.6 Applicative Examples; 8.7 Concluding Remarks and Future PerspectivesReferences; 9 Inclusion-based Fuzzy Clustering; 9.1 Introduction; 9.2 Background: Fuzzy Clustering; 9.3 Construction of an Inclusion Index; 9.4 Inclusion-based Fuzzy Clustering; 9.5 Numerical Examples and Illustrations; 9.6 Conclusion; Acknowledgements; Appendix 9A.1; References; 10 Mining Diagnostic Rules Using Fuzzy Clustering; 10.1 Introduction; 10.2 Fuzzy Medical Diagnosis; 10.3 Interpretability in Fuzzy Medical Diagnosis; 10.4 A Framework for Mining Interpretable Diagnostic Rules; 10.5 An Illustrative Example; 10.6 Conclusive Remarks; References
• Sommario/riassunto: A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and methods, whilst identifying major challenges and recent developments in the area. Split into five clear sections, Fundamentals, Visualization, Algorithms and Computational Aspects, Real-Time and Dynamic Clustering, and Applications and Case Studies

Natural ventilation of buildings : theory, measurement and design / / David Etheridge

• Record Nr.: UNINA9910820082903321
• Autore: Etheridge David (David W.)
• Pubbl/distr/stampa: Hoboken, N.J., : Wiley, 2012
• ISBN: 1-283-28006-X; 9786613280060; 1-119-95177-1; 1-119-95178-X
• Edizione: [2nd ed.]
• Descrizione fisica: 1 online resource (456 p.)
• Disciplina: 697.9/2
• Soggetti: Natural ventilation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Natural Ventilation of Buildings: THEORY, MEASUREMENT AND DESIGN; Contents; Preface; Acknowledgements; Principal Notation; 1 Introduction and Overview of Natural Ventilation Design; 1.1 Aims and Scope of the Book; 1.1.1 Aims; 1.1.2 Scope; 1.2 Natural Ventilation in Context; 1.2.1 Hierarchy of Ventilation Systems; 1.2.2 Advantages and Disadvantages of Natural Ventilation; 1.2.3 Differences between Natural and Mechanical Ventilation; 1.3 Overview of Design; 1.3.1 Overall Design Process; 1.3.2 Stage 1: Assessing Feasibility; 1.3.3 Stage 2: Choosing a Ventilation Strategy; 1.3.4 Stage 3: Achieving the Ventilation Strategy1.3.5 Stage 4: Internal Air Motion and Related Phenomena; 1.3.6 Stage 5: Commissioning; 1.4 Notes on Sources; 1.4.1 Coverage of Recent and Past Developments; 1.4.2 Natural Ventilation and Safety; References; 2 Physical Processes in Natural Ventilation; 2.1 Introduction; 2.1.1 Fundamental Principles of Fluid Mechanics; 2.1.2 Numerical Analysis and CFD; 2.2 The Effect of Gravity on Ventilation Flows; 2.2.1 Navier-Stokes Equations; 2.2.2 Hydrostatic and Piezometric Pressures; 2.2.3 Envelope Flows; 2.2.4 Internal Air Motion; 2.3 Types of Flow Encountered in Ventilation2.3.1 Reynolds Number; 2.3.2 Laminar Flow; 2.3.3 Transitional Flow; 2.3.4 Turbulent Flow; 2.4 Fluid Mechanics - Other Important Concepts and Equations; 2.4.1 A ; Fluid as a Continuum; 2.4.2 Transport Mechanisms; 2.4.3 Momentum Principle - Newton's Laws of Motion; 2.4.4 Momentum Equations for a Defined Body of Fluid and a Control Volume; 2.4.5 Hydrostatic Equation; 2.4.6 Steady Flow; 2.4.7 Mass Conservation for an Envelope; 2.4.8 Bernoulli's Equation; 2.4.9 Energy Equations for a System and a Fixed Control Volume; 2.4.10 Loss Coefficient and Resistance Coefficient2.4.11 Still-air Discharge Coefficient and Resistance Coefficient; 2.4.12 Flow Separation; 2.4.13 Irrotational Flow; 2.5 Steady and Unsteady Ventilation; 2.6 Flow Through a Sudden Expansion; 2.6.1 Momentum and Continuity Equations; 2.6.2 Energy Equation; 2.6.3 Diffusion (Molecular and Turbulent); 2.7 Dimensional Analysis; 2.8 Heat Transfer between Air and Envelope; 2.9 Definitions Relating to Ventilation Rate; 2.9.1 Envelope Flows - Single Cell; 2.9.2 Envelope Flows - Multi-cell Buildings; 2.9.3 Measurement of Ventilation Rate; 2.9.4 Effectiveness of Ventilation and Local Ventilation Rates2.10 Errors and Uncertainties; 2.11 Mathematical Models; 2.11.1 Envelope Flow Models (Chapters 4 and 5); 2.11.2 Zonal Models (Chapter 6); 2.11.3 Dynamic Thermal Models; 2.11.4 CFD; 2.12 Boundary Conditions; 2.12.1 Velocity; 2.12.2 Temperature; Bibliography; References; 3 Steady Flow Characteristics of Openings; 3.1 Introduction; 3.1.1 Still-air Discharge Coefficient; 3.1.2 Installation Effects; 3.2 Classification of Openings; 3.2.1 Shapes of Openings; 3.2.2 Sizes of Openings; 3.2.3 Reynolds Numbers Encountered in Practice; 3.2.4 Types of Opening
• Sommario/riassunto: Natural ventilation is considered a prerequisite for sustainable buildings and is therefore in line with current trends in the construction industry. The design of naturally ventilated buildings is more difficult and carries greater risk than those that are mechanically ventilated. A successful result relies increasingly on a good understanding of the abilities and limitations of the theoretical and experimental procedures that are used for design. There are two ways to naturally ventilate a building: wind driven ventilation and stack ventilation. The majority of buildings employing natural