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Problems in Building Physics [[electronic resource] /] / by Marko Pinterić
| Problems in Building Physics [[electronic resource] /] / by Marko Pinterić |
| Autore | Pinterić Marko |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina | 697 |
| Soggetto topico |
Buildings - Environmental engineering
Thermodynamics Heat engineering Heat transfer Mass transfer Noise control Acoustical engineering Sustainable architecture Building Physics, HVAC Engineering Thermodynamics, Heat and Mass Transfer Noise Control Engineering Acoustics Sustainable Architecture/Green Buildings |
| ISBN | 3-031-47668-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Problems -- Basics of Thermodynamics -- Heat Transfer -- Heat Transfer in Building Components -- Moisture in Building Components -- Basics of Waves -- Sound Propagation -- Building Acoustics -- Illumination -- Solutions -- Basics of Thermodynamics -- Heat Transfer -- Heat Transfer in Building Components -- Moisture in Building Components -- Basics of Waves -- Sound Propagation -- Building Acoustics -- Illumination. |
| Record Nr. | UNINA-9910799222803321 |
Pinterić Marko
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Raum-Akustik und Lärm-Minderung [[electronic resource] ] : Konzepte mit innovativen Schallabsorbern und -dämpfern / / von Helmut V. Fuchs
| Raum-Akustik und Lärm-Minderung [[electronic resource] ] : Konzepte mit innovativen Schallabsorbern und -dämpfern / / von Helmut V. Fuchs |
| Autore | Fuchs Helmut V |
| Edizione | [4th ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (XXI, 717 S. 565 Abb.) |
| Disciplina | 624 |
| Collana | VDI-Buch |
| Soggetto topico |
Civil engineering
Electrical engineering Acoustics Noise control Civil Engineering Electrical Engineering Noise Control |
| ISBN | 9783662531631 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Einführung -- Problemschwerpunkt tiefe Frequenzen -- Grundlagen für den Lärmschutz und die raumakustische Gestaltung -- Passive Absorber -- Platten-Resonatoren -- Helmholtz-Resonatoren -- Interferenz-Dämpfer -- Absorber mit aktiven Komponenten -- Mikroperforierte Absorber -- Integrierte und integrierende Schallabsorber -- Raumakustische Grundlagen für größere Räume -- Fallbeispiele akustischer Gestaltung größerer Räume -- Raumakustische Grundlagen für kleinere Räume -- Fallbeispiele akustischer Gestaltung kleinerer Räume -- Raumakustische Grundlagen für schalltechnische Prüfstände -- Fallbeispiele alternativer Gestaltung von Akustik-Prüfständen -- Grundlagen für Schalldämpfer in Strömungskanälen -- Fallbeispiele alternativer Schalldämpferanlagen. |
| Record Nr. | UNINA-9910163986803321 |
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Fuchs Helmut V
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Digital Image Analysis [[electronic resource] ] : An Introduction / / by John A. Richards
| Remote Sensing Digital Image Analysis [[electronic resource] ] : An Introduction / / by John A. Richards |
| Autore | Richards John A |
| Edizione | [2nd ed. 1993.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (XX, 340 p. 160 illus., 14 illus. in color.) |
| Disciplina | 621.36/78 |
| Soggetto topico |
Geographical information systems
Waste management Water pollution Air pollution Soil science Soil conservation Noise control Geographical Information Systems/Cartography Waste Management/Waste Technology Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Soil Science & Conservation Noise Control |
| ISBN | 3-642-88087-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 — Sources and Characteristics of Remote Sensing Image Data -- 1.1 Introduction to Data Sources -- 1.1.1 Characteristics of Digital Image Data -- 1.1.2 Spectral Ranges Commonly Used in Remote Sensing -- 1.1.3 Concluding Remarks -- 1.2 Weather Satellite Sensors -- 1.2.1 Polar Orbiting and Geosynchronous Satellites -- 1.2.2 The NOAA AVHRR (Advanced Very High Resolution Radiometer) -- 1.2.3 The Nimbus CZCS (Coastal Zone Colour Scanner) -- 1.2.4 GMS VISSR (Visible and Infrared Spin Scan Radiometer) -- 1.3 Earth Resource Satellite Sensors in the Visible and Infrared Regions -- 1.3.1 The Landsat System -- 1.3.2 The Landsat Instrument Complement -- 1.3.3 The Return Beam Vidicon(RBV) -- 1.3.4 The Multispectral Scanner (MSS) -- 1.3.5 The Thematic Mapper (TM) -- 1.3.6 The SPOT High Resolution Visible (HRV) Imaging Instrument -- 1.3.7 The Skylab S 192 Multispectral Scanner -- 1.3.8 The Heat Capacity Mapping Radiometer (HCMR) -- 1.3.9 Marine Observation Satellite (MOS) -- 1.3.10 Indian Remote Sensing Satellite (IRS) -- 1.4 Aircraft Scanners in the Visible and Infrared Regions -- 1.4.1 General Considerations -- 1.4.2 The Daedalus AADS 1240/1260 Multispectral Line Scanner -- 1.4.3 The Airborne Thematic Mapper (ATM) -- 1.4.4 The Thermal Infrared Multispectral Scanner (TIMS) -- 1.4.5 The MDA MEIS-II Linear Array Aircraft Scanner -- 1.4.6 Imaging Spectrometers -- 1.5 Image Data Sources in the Microwave Region -- 1.5.1 Side Looking Airborne Radar and Synthetic Aperture Radar -- 1.5.2 TheSeasatSAR -- 1.5.3 Shuttle Imaging Radar-A (SIR-A) -- 1.5.4 Shuttle Imaging Radar-B(SIR-B) -- 1.5.5 ERS-1 -- 1.5.6 JERS-1 -- 1.5.7 Radarsat -- 1.5.8 Aircraft Imaging Radar Systems -- 1.6 Spatial Data Sources in General -- 1.6.1 Types of Spatial Data -- 1.6.2 Data Formats -- 1.6.3 Geographic Information Systems (GIS) -- 1.6.4 The Challenge to Image Processing and Analysis -- 1.7 A Comparison of Scales in Digital Image Data -- References for Chapter 1 -- Problems -- 2 — Error Correction and Registration of Image Data -- 2.1 Sources of Radiometric Distortion -- 2.1.1 The Effect of the Atmosphere on Radiation -- 2.1.2 Atmospheric Effects on Remote Sensing Imagery -- 2.1.3 Instrumentation Errors -- 2.2 Correction of Radiometric Distortion -- 2.2.1 Detailed Correction of Atmospheric Effects -- 2.2.2 Bulk Correction of Atmospheric Effects -- 2.2.3 Correction of Instrumentation Errors -- 2.3 Sources of Geometric Distortion -- 2.3.1 Earth Rotation Effects -- 2.3.2 Panoramic Distortion -- 2.3.3 Earth Curvature -- 2.3.4 Scan Time Skew -- 2.3.5 Variations in Platform Altitude, Velocity and Attitude -- 2.3.6 Aspect Ratio Distortion -- 2.3.7 Sensor Scan Nonlinearities -- 2.4 Correction of Geometric Distortion -- 2.4.1 Use of Mapping Polynomials for Image Correction -- 2.4.1.1 Mapping Polynomials and Ground Control Points -- 2.4.1.2 Resampling -- 2.4.1.3 Interpolation -- 2.4.1.4 Choice of Control Points -- 2.4.1.5 Example of Registration to a Map Grid -- 2.4.2 Mathematical Modelling -- 2.4.2.1 Aspect Ratio Correction -- 2.4.2.2 Earth Rotation Skew Correction -- 2.4.2.3 Image Orientation to North-South -- 2.4.2.4 Correction of Panoramic Effects -- 2.4.2.5 Combining the Corrections -- 2.5 Image Registration -- 2.5.1 Georeferencing and Geocoding -- 2.5.2 Image to Image Registration -- 2.5.3 Sequential Similarity Detection Algorithm -- 2.5.4 Example of Image to Image Registration -- 2.6 Miscellaneous Image Geometry Operations -- 2.6.1 Image Rotation -- 2.6.2 Scale Changing and Zooming -- References for Chapter 2 -- Problems -- 3 — The Interpretation of Digital Image Data -- 3.1 Two Approaches to Interpretation -- 3.2 Forms of Imagery for Photointerpretation -- 3.3 Computer Processing for Photointerpretation -- 3.4 An Introduction to Quantitative Analysis — Classification -- 3.5 Multispectral Space and Spectral Classes -- 3.6 Quantitative Analysis by Pattern Recognition -- 3.6.1 Pixel Vectors and Labelling -- 3.6.2 Unsupervised Classification -- 3.6.3 Supervised Classification -- References for Chapter 3 -- Problems -- 4 — Radiometric Enhancement Techniques -- 4.1 Introduction -- 4.1.1 Point Operations and Look Up Tables -- 4.1.2 Scalar and Vector Images -- 4.2 The Image Histogram -- 4.3 Contrast Modification in Image Data -- 4.3.1 Histogram Modification Rule -- 4.3.2 Linear Contrast Enhancement -- 4.3.3 Saturating Linear Contrast Enhancement -- 4.3.4 Automatic Contrast Enhancement -- 4.3.5 Logarithmic and Exponential Contrast Enhancement -- 4.3.6 Piecewise Linear Contrast Modification -- 4.4 Histogram Equalization -- 4.4.1 Use of the Cumulative Histogram -- 4.4.2 Anomalies in Histogram Equalization -- 4.5 Histogram Matching -- 4.5.1 Principle of Histogram Matching -- 4.5.2 Image to Image Contrast Matching -- 4.5.3 Matching to a Mathematical Reference -- 4.6 Density Slicing -- 4.6.1 Black and White Density Slicing -- 4.6.2 Colour Density Slicing and Pseudocolouring -- References for Chapter 4 -- Problems -- 5 — Geometric Enhancement Using Image Domain Techniques -- 5.1 Neighbourhood Operations -- 5.2 Template Operators -- 5.3 Geometric Enhancement as a Convolution Operation -- 5.4 ImageDomain Versus Fourier Transformation Approaches -- 5.5 Image Smoothing (Low Pass Filtering) -- 5.5.1 Mean Value Smoothing -- 5.5.2 Median Filtering -- 5.6 Edge Detection and Enhancement -- 5.6.1 Linear Edge Detecting Templates -- 5.6.2 Spatial Derivative Techniques -- 5.6.2.1 The Roberts Operator -- 5.6.2.2 The Sobel Operator -- 5.6.3 Thinning, Linking and Edge Responses -- 5.6.4 Edge Enhancement by Subtractive Smoothing -- 5.7 Line Detection -- 5.7.1 Linear Line Detecting Templates -- 5.7.2 Non-linear and Semi-linear Line Detecting Templates -- 5.8 General Convolution Filtering -- 5.9 Shape Detection -- References for Chapter 5 -- Problems -- 6 — Multispectral Transformations of Image Data -- 6.1 The Principal Components Transformation -- 6.1.1 The Mean Vector and Covariance Matrix -- 6.1.2 A Zero Correlation, Rotational Transform -- 6.1.3 An Example — Some Practical Considerations -- 6.1.4 The Effect of an Origin Shift -- 6.1.5 Application of Principal Components in Image Enhancement and Display -- 6.1.6 The Taylor Method of Contrast Enhancement -- 6.1.7 Other Applications of Principal Components Analysis -- 6.2 The Kauth-Thomas Tasseled Cap Transformation -- 6.3 Image Arithmetic, Band Ratios and Vegetation Indices -- References for Chapter 6 -- Problems -- 7 — Fourier Transformation of Image Data -- 7.1 Introduction -- 7.2 Special Functions -- 7.2.1 The Complex Exponential Function -- 7.2.2 The Dirac Delta Function -- 7.2.2.1 Properties of the Delta Function -- 7.2.3 The Heaviside Step Function -- 7.3 Fourier Series -- 7.4 The Fourier Transform -- 7.5 Convolution -- 7.5.1 The Convolution Integral -- 7.5.2 Convolution with an Impulse -- 7.5.3 The Convolution Theorem -- 7.6 Sampling Theory -- 7.7 The Discrete Fourier Transform -- 7.7.1 The Discrete Spectrum -- 7.7.2 Discrete Fourier Transform Formulae -- 7.7.3 Properties of the Discrete Fourier Transform -- 7.7.4 Computation of the Discrete Fourier Transform -- 7.7.5 Development of the Fast Fourier Transform Algorithm -- 7.7.6 Computational Cost of the Fast Fourier Transform -- 7.7.7 Bit Shuffling and Storage Considerations -- 7.8 The Discrete Fourier Transform of an Image -- 7.8.1 Definition -- 7.8.2 Evaluation of the Two Dimensional, Discrete Fourier Transform -- 7.8.3 The Concept of Spatial Frequency -- 7.8.4 Image Filtering for Geometric Enhancement -- 7.8.5 Convolution in Two Dimensions -- 7.9 Concluding Remarks -- References for Chapter 7 -- Problems -- Chapters 8—Supervised Classification Techniques -- I. Standard Classification Algorithms -- 8.1 Steps in Supervised Classification -- 8.2 Maximum Likelihood Classification -- 8.2.1 Bayes’Classification -- 8.2.2 The Maximum Likelihood Decision Rule -- 8.2.3 Multivariate Normal Class Models -- 8.2.4 Decision Surfaces -- 8.2.5 Thresholds -- 8.2.6 Number of Training Pixels Required for Each Class -- 8.2.7 A Simple Illustration -- 8.3 Minimum Distance Classification -- 8.3.1 The Case of Limited Training Data -- 8.3.2 The Discriminant Function -- 8.3.3 Degeneration of Maximum Likelihood to Minimum Distance Classification -- 8.3.4 Decision Surfaces -- 8.3.5 Thresholds -- 8.4 Parallelepiped Classification -- 8.5 Classification Time Comparison of the Classifiers -- 8.6 The Mahalanobis Classifier -- 8.7 Table Look Up Classification -- II. More Advanced Considerations -- 8.8 Context Classification -- 8.8.1 The Concept of Spatial Context -- 8.8.2 Context Classification by Image Pre-Processing -- 8.8.3 Post Classification Filtering -- 8.8.4 Probabilistic Label Relaxation -- 8.8.4.1 The Basic Algorithm -- 8.8.4.2 The Neighbourhood Function -- 8.8.4.3 Determining the Compatibility Coefficients -- 8.8.4.4 The Final Step – Stopping the Process -- 8.8.4.5 Examples -- 8.9 Classification of Mixed Image Data -- 8.9.1 The Stacked Vector Approach -- 8.9.2 Statistical Methods -- 8.9.3 The Theory of Evidence -- 8.9.3.1 The Concept of Evidential Mass -- 8.9.3.2 Combining Evidence – the Orthogonal Sum -- 8.9.3.3 Decision Rule -- 8.10 Classification Using Neural Networks -- 8.10.1 Linear Discrimination -- 8.10.1.1 Concept of a Weight Vector -- 8.10.1.2 Testing Class Membership -- 8.10.1.3 Training -- 8.10.1.4 Setting the Correction Increment -- 8.10.1.5 Classification – The Threshold Logic Unit -- 8.10.1.6 Multicategory Classification -- 8.10.2 Networks of Classifiers – Solutions of Nonlinear Problems -- 8.10.3 The Neural Network Approach -- 8.10.3.1 The Processing Element -- 8.10.3.2 Training the Neural Network – Backpropagation -- 8.10.3.3 Choosing the Network Parameters -- 8.10.3.4 Examples -- References for Chapter 8 -- Problems -- 9 — Clustering and Unsupervised Classification -- 9.1 Delineation of Spectral Classes -- 9.2 Similarity Metrics and Clustering Criteria -- 9.3 The Iterative Optimization (Migrating Means) Clustering Algorithm -- 9.3.1 The Basic . |
| Record Nr. | UNINA-9910480331403321 |
|
Richards John A
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||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Digital Image Analysis : An Introduction / / John A. Richards
| Remote Sensing Digital Image Analysis : An Introduction / / John A. Richards |
| Autore | Richards John A |
| Edizione | [Second, revised and enlarged edition 1993.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (xx, 340 pages) : 174 illustrations |
| Disciplina | 621.36/78 |
| Soggetto topico |
Geographical information systems
Refuse and refuse disposal Water pollution Air pollution Soil science Soil conservation Noise control Geographical Information Systems/Cartography Waste Management/Waste Technology Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Soil Science & Conservation Noise Control |
| ISBN | 3-642-88087-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 — Sources and Characteristics of Remote Sensing Image Data -- 1.1 Introduction to Data Sources -- 1.1.1 Characteristics of Digital Image Data -- 1.1.2 Spectral Ranges Commonly Used in Remote Sensing -- 1.1.3 Concluding Remarks -- 1.2 Weather Satellite Sensors -- 1.2.1 Polar Orbiting and Geosynchronous Satellites -- 1.2.2 The NOAA AVHRR (Advanced Very High Resolution Radiometer) -- 1.2.3 The Nimbus CZCS (Coastal Zone Colour Scanner) -- 1.2.4 GMS VISSR (Visible and Infrared Spin Scan Radiometer) -- 1.3 Earth Resource Satellite Sensors in the Visible and Infrared Regions -- 1.3.1 The Landsat System -- 1.3.2 The Landsat Instrument Complement -- 1.3.3 The Return Beam Vidicon(RBV) -- 1.3.4 The Multispectral Scanner (MSS) -- 1.3.5 The Thematic Mapper (TM) -- 1.3.6 The SPOT High Resolution Visible (HRV) Imaging Instrument -- 1.3.7 The Skylab S 192 Multispectral Scanner -- 1.3.8 The Heat Capacity Mapping Radiometer (HCMR) -- 1.3.9 Marine Observation Satellite (MOS) -- 1.3.10 Indian Remote Sensing Satellite (IRS) -- 1.4 Aircraft Scanners in the Visible and Infrared Regions -- 1.4.1 General Considerations -- 1.4.2 The Daedalus AADS 1240/1260 Multispectral Line Scanner -- 1.4.3 The Airborne Thematic Mapper (ATM) -- 1.4.4 The Thermal Infrared Multispectral Scanner (TIMS) -- 1.4.5 The MDA MEIS-II Linear Array Aircraft Scanner -- 1.4.6 Imaging Spectrometers -- 1.5 Image Data Sources in the Microwave Region -- 1.5.1 Side Looking Airborne Radar and Synthetic Aperture Radar -- 1.5.2 TheSeasatSAR -- 1.5.3 Shuttle Imaging Radar-A (SIR-A) -- 1.5.4 Shuttle Imaging Radar-B(SIR-B) -- 1.5.5 ERS-1 -- 1.5.6 JERS-1 -- 1.5.7 Radarsat -- 1.5.8 Aircraft Imaging Radar Systems -- 1.6 Spatial Data Sources in General -- 1.6.1 Types of Spatial Data -- 1.6.2 Data Formats -- 1.6.3 Geographic Information Systems (GIS) -- 1.6.4 The Challenge to Image Processing and Analysis -- 1.7 A Comparison of Scales in Digital Image Data -- References for Chapter 1 -- Problems -- 2 — Error Correction and Registration of Image Data -- 2.1 Sources of Radiometric Distortion -- 2.1.1 The Effect of the Atmosphere on Radiation -- 2.1.2 Atmospheric Effects on Remote Sensing Imagery -- 2.1.3 Instrumentation Errors -- 2.2 Correction of Radiometric Distortion -- 2.2.1 Detailed Correction of Atmospheric Effects -- 2.2.2 Bulk Correction of Atmospheric Effects -- 2.2.3 Correction of Instrumentation Errors -- 2.3 Sources of Geometric Distortion -- 2.3.1 Earth Rotation Effects -- 2.3.2 Panoramic Distortion -- 2.3.3 Earth Curvature -- 2.3.4 Scan Time Skew -- 2.3.5 Variations in Platform Altitude, Velocity and Attitude -- 2.3.6 Aspect Ratio Distortion -- 2.3.7 Sensor Scan Nonlinearities -- 2.4 Correction of Geometric Distortion -- 2.4.1 Use of Mapping Polynomials for Image Correction -- 2.4.1.1 Mapping Polynomials and Ground Control Points -- 2.4.1.2 Resampling -- 2.4.1.3 Interpolation -- 2.4.1.4 Choice of Control Points -- 2.4.1.5 Example of Registration to a Map Grid -- 2.4.2 Mathematical Modelling -- 2.4.2.1 Aspect Ratio Correction -- 2.4.2.2 Earth Rotation Skew Correction -- 2.4.2.3 Image Orientation to North-South -- 2.4.2.4 Correction of Panoramic Effects -- 2.4.2.5 Combining the Corrections -- 2.5 Image Registration -- 2.5.1 Georeferencing and Geocoding -- 2.5.2 Image to Image Registration -- 2.5.3 Sequential Similarity Detection Algorithm -- 2.5.4 Example of Image to Image Registration -- 2.6 Miscellaneous Image Geometry Operations -- 2.6.1 Image Rotation -- 2.6.2 Scale Changing and Zooming -- References for Chapter 2 -- Problems -- 3 — The Interpretation of Digital Image Data -- 3.1 Two Approaches to Interpretation -- 3.2 Forms of Imagery for Photointerpretation -- 3.3 Computer Processing for Photointerpretation -- 3.4 An Introduction to Quantitative Analysis — Classification -- 3.5 Multispectral Space and Spectral Classes -- 3.6 Quantitative Analysis by Pattern Recognition -- 3.6.1 Pixel Vectors and Labelling -- 3.6.2 Unsupervised Classification -- 3.6.3 Supervised Classification -- References for Chapter 3 -- Problems -- 4 — Radiometric Enhancement Techniques -- 4.1 Introduction -- 4.1.1 Point Operations and Look Up Tables -- 4.1.2 Scalar and Vector Images -- 4.2 The Image Histogram -- 4.3 Contrast Modification in Image Data -- 4.3.1 Histogram Modification Rule -- 4.3.2 Linear Contrast Enhancement -- 4.3.3 Saturating Linear Contrast Enhancement -- 4.3.4 Automatic Contrast Enhancement -- 4.3.5 Logarithmic and Exponential Contrast Enhancement -- 4.3.6 Piecewise Linear Contrast Modification -- 4.4 Histogram Equalization -- 4.4.1 Use of the Cumulative Histogram -- 4.4.2 Anomalies in Histogram Equalization -- 4.5 Histogram Matching -- 4.5.1 Principle of Histogram Matching -- 4.5.2 Image to Image Contrast Matching -- 4.5.3 Matching to a Mathematical Reference -- 4.6 Density Slicing -- 4.6.1 Black and White Density Slicing -- 4.6.2 Colour Density Slicing and Pseudocolouring -- References for Chapter 4 -- Problems -- 5 — Geometric Enhancement Using Image Domain Techniques -- 5.1 Neighbourhood Operations -- 5.2 Template Operators -- 5.3 Geometric Enhancement as a Convolution Operation -- 5.4 ImageDomain Versus Fourier Transformation Approaches -- 5.5 Image Smoothing (Low Pass Filtering) -- 5.5.1 Mean Value Smoothing -- 5.5.2 Median Filtering -- 5.6 Edge Detection and Enhancement -- 5.6.1 Linear Edge Detecting Templates -- 5.6.2 Spatial Derivative Techniques -- 5.6.2.1 The Roberts Operator -- 5.6.2.2 The Sobel Operator -- 5.6.3 Thinning, Linking and Edge Responses -- 5.6.4 Edge Enhancement by Subtractive Smoothing -- 5.7 Line Detection -- 5.7.1 Linear Line Detecting Templates -- 5.7.2 Non-linear and Semi-linear Line Detecting Templates -- 5.8 General Convolution Filtering -- 5.9 Shape Detection -- References for Chapter 5 -- Problems -- 6 — Multispectral Transformations of Image Data -- 6.1 The Principal Components Transformation -- 6.1.1 The Mean Vector and Covariance Matrix -- 6.1.2 A Zero Correlation, Rotational Transform -- 6.1.3 An Example — Some Practical Considerations -- 6.1.4 The Effect of an Origin Shift -- 6.1.5 Application of Principal Components in Image Enhancement and Display -- 6.1.6 The Taylor Method of Contrast Enhancement -- 6.1.7 Other Applications of Principal Components Analysis -- 6.2 The Kauth-Thomas Tasseled Cap Transformation -- 6.3 Image Arithmetic, Band Ratios and Vegetation Indices -- References for Chapter 6 -- Problems -- 7 — Fourier Transformation of Image Data -- 7.1 Introduction -- 7.2 Special Functions -- 7.2.1 The Complex Exponential Function -- 7.2.2 The Dirac Delta Function -- 7.2.2.1 Properties of the Delta Function -- 7.2.3 The Heaviside Step Function -- 7.3 Fourier Series -- 7.4 The Fourier Transform -- 7.5 Convolution -- 7.5.1 The Convolution Integral -- 7.5.2 Convolution with an Impulse -- 7.5.3 The Convolution Theorem -- 7.6 Sampling Theory -- 7.7 The Discrete Fourier Transform -- 7.7.1 The Discrete Spectrum -- 7.7.2 Discrete Fourier Transform Formulae -- 7.7.3 Properties of the Discrete Fourier Transform -- 7.7.4 Computation of the Discrete Fourier Transform -- 7.7.5 Development of the Fast Fourier Transform Algorithm -- 7.7.6 Computational Cost of the Fast Fourier Transform -- 7.7.7 Bit Shuffling and Storage Considerations -- 7.8 The Discrete Fourier Transform of an Image -- 7.8.1 Definition -- 7.8.2 Evaluation of the Two Dimensional, Discrete Fourier Transform -- 7.8.3 The Concept of Spatial Frequency -- 7.8.4 Image Filtering for Geometric Enhancement -- 7.8.5 Convolution in Two Dimensions -- 7.9 Concluding Remarks -- References for Chapter 7 -- Problems -- Chapters 8—Supervised Classification Techniques -- I. Standard Classification Algorithms -- 8.1 Steps in Supervised Classification -- 8.2 Maximum Likelihood Classification -- 8.2.1 Bayes’Classification -- 8.2.2 The Maximum Likelihood Decision Rule -- 8.2.3 Multivariate Normal Class Models -- 8.2.4 Decision Surfaces -- 8.2.5 Thresholds -- 8.2.6 Number of Training Pixels Required for Each Class -- 8.2.7 A Simple Illustration -- 8.3 Minimum Distance Classification -- 8.3.1 The Case of Limited Training Data -- 8.3.2 The Discriminant Function -- 8.3.3 Degeneration of Maximum Likelihood to Minimum Distance Classification -- 8.3.4 Decision Surfaces -- 8.3.5 Thresholds -- 8.4 Parallelepiped Classification -- 8.5 Classification Time Comparison of the Classifiers -- 8.6 The Mahalanobis Classifier -- 8.7 Table Look Up Classification -- II. More Advanced Considerations -- 8.8 Context Classification -- 8.8.1 The Concept of Spatial Context -- 8.8.2 Context Classification by Image Pre-Processing -- 8.8.3 Post Classification Filtering -- 8.8.4 Probabilistic Label Relaxation -- 8.8.4.1 The Basic Algorithm -- 8.8.4.2 The Neighbourhood Function -- 8.8.4.3 Determining the Compatibility Coefficients -- 8.8.4.4 The Final Step – Stopping the Process -- 8.8.4.5 Examples -- 8.9 Classification of Mixed Image Data -- 8.9.1 The Stacked Vector Approach -- 8.9.2 Statistical Methods -- 8.9.3 The Theory of Evidence -- 8.9.3.1 The Concept of Evidential Mass -- 8.9.3.2 Combining Evidence – the Orthogonal Sum -- 8.9.3.3 Decision Rule -- 8.10 Classification Using Neural Networks -- 8.10.1 Linear Discrimination -- 8.10.1.1 Concept of a Weight Vector -- 8.10.1.2 Testing Class Membership -- 8.10.1.3 Training -- 8.10.1.4 Setting the Correction Increment -- 8.10.1.5 Classification – The Threshold Logic Unit -- 8.10.1.6 Multicategory Classification -- 8.10.2 Networks of Classifiers – Solutions of Nonlinear Problems -- 8.10.3 The Neural Network Approach -- 8.10.3.1 The Processing Element -- 8.10.3.2 Training the Neural Network – Backpropagation -- 8.10.3.3 Choosing the Network Parameters -- 8.10.3.4 Examples -- References for Chapter 8 -- Problems -- 9 — Clustering and Unsupervised Classification -- 9.1 Delineation of Spectral Classes -- 9.2 Similarity Metrics and Clustering Criteria -- 9.3 The Iterative Optimization (Migrating Means) Clustering Algorithm -- 9.3.1 The Basic . |
| Record Nr. | UNINA-9910789208603321 |
|
Richards John A
|
||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing Digital Image Analysis : An Introduction / / John A. Richards
| Remote Sensing Digital Image Analysis : An Introduction / / John A. Richards |
| Autore | Richards John A |
| Edizione | [Second, revised and enlarged edition 1993.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (xx, 340 pages) : 174 illustrations |
| Disciplina | 621.36/78 |
| Soggetto topico |
Geographical information systems
Refuse and refuse disposal Water pollution Air pollution Soil science Soil conservation Noise control Geographical Information Systems/Cartography Waste Management/Waste Technology Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Soil Science & Conservation Noise Control |
| ISBN | 3-642-88087-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 — Sources and Characteristics of Remote Sensing Image Data -- 1.1 Introduction to Data Sources -- 1.1.1 Characteristics of Digital Image Data -- 1.1.2 Spectral Ranges Commonly Used in Remote Sensing -- 1.1.3 Concluding Remarks -- 1.2 Weather Satellite Sensors -- 1.2.1 Polar Orbiting and Geosynchronous Satellites -- 1.2.2 The NOAA AVHRR (Advanced Very High Resolution Radiometer) -- 1.2.3 The Nimbus CZCS (Coastal Zone Colour Scanner) -- 1.2.4 GMS VISSR (Visible and Infrared Spin Scan Radiometer) -- 1.3 Earth Resource Satellite Sensors in the Visible and Infrared Regions -- 1.3.1 The Landsat System -- 1.3.2 The Landsat Instrument Complement -- 1.3.3 The Return Beam Vidicon(RBV) -- 1.3.4 The Multispectral Scanner (MSS) -- 1.3.5 The Thematic Mapper (TM) -- 1.3.6 The SPOT High Resolution Visible (HRV) Imaging Instrument -- 1.3.7 The Skylab S 192 Multispectral Scanner -- 1.3.8 The Heat Capacity Mapping Radiometer (HCMR) -- 1.3.9 Marine Observation Satellite (MOS) -- 1.3.10 Indian Remote Sensing Satellite (IRS) -- 1.4 Aircraft Scanners in the Visible and Infrared Regions -- 1.4.1 General Considerations -- 1.4.2 The Daedalus AADS 1240/1260 Multispectral Line Scanner -- 1.4.3 The Airborne Thematic Mapper (ATM) -- 1.4.4 The Thermal Infrared Multispectral Scanner (TIMS) -- 1.4.5 The MDA MEIS-II Linear Array Aircraft Scanner -- 1.4.6 Imaging Spectrometers -- 1.5 Image Data Sources in the Microwave Region -- 1.5.1 Side Looking Airborne Radar and Synthetic Aperture Radar -- 1.5.2 TheSeasatSAR -- 1.5.3 Shuttle Imaging Radar-A (SIR-A) -- 1.5.4 Shuttle Imaging Radar-B(SIR-B) -- 1.5.5 ERS-1 -- 1.5.6 JERS-1 -- 1.5.7 Radarsat -- 1.5.8 Aircraft Imaging Radar Systems -- 1.6 Spatial Data Sources in General -- 1.6.1 Types of Spatial Data -- 1.6.2 Data Formats -- 1.6.3 Geographic Information Systems (GIS) -- 1.6.4 The Challenge to Image Processing and Analysis -- 1.7 A Comparison of Scales in Digital Image Data -- References for Chapter 1 -- Problems -- 2 — Error Correction and Registration of Image Data -- 2.1 Sources of Radiometric Distortion -- 2.1.1 The Effect of the Atmosphere on Radiation -- 2.1.2 Atmospheric Effects on Remote Sensing Imagery -- 2.1.3 Instrumentation Errors -- 2.2 Correction of Radiometric Distortion -- 2.2.1 Detailed Correction of Atmospheric Effects -- 2.2.2 Bulk Correction of Atmospheric Effects -- 2.2.3 Correction of Instrumentation Errors -- 2.3 Sources of Geometric Distortion -- 2.3.1 Earth Rotation Effects -- 2.3.2 Panoramic Distortion -- 2.3.3 Earth Curvature -- 2.3.4 Scan Time Skew -- 2.3.5 Variations in Platform Altitude, Velocity and Attitude -- 2.3.6 Aspect Ratio Distortion -- 2.3.7 Sensor Scan Nonlinearities -- 2.4 Correction of Geometric Distortion -- 2.4.1 Use of Mapping Polynomials for Image Correction -- 2.4.1.1 Mapping Polynomials and Ground Control Points -- 2.4.1.2 Resampling -- 2.4.1.3 Interpolation -- 2.4.1.4 Choice of Control Points -- 2.4.1.5 Example of Registration to a Map Grid -- 2.4.2 Mathematical Modelling -- 2.4.2.1 Aspect Ratio Correction -- 2.4.2.2 Earth Rotation Skew Correction -- 2.4.2.3 Image Orientation to North-South -- 2.4.2.4 Correction of Panoramic Effects -- 2.4.2.5 Combining the Corrections -- 2.5 Image Registration -- 2.5.1 Georeferencing and Geocoding -- 2.5.2 Image to Image Registration -- 2.5.3 Sequential Similarity Detection Algorithm -- 2.5.4 Example of Image to Image Registration -- 2.6 Miscellaneous Image Geometry Operations -- 2.6.1 Image Rotation -- 2.6.2 Scale Changing and Zooming -- References for Chapter 2 -- Problems -- 3 — The Interpretation of Digital Image Data -- 3.1 Two Approaches to Interpretation -- 3.2 Forms of Imagery for Photointerpretation -- 3.3 Computer Processing for Photointerpretation -- 3.4 An Introduction to Quantitative Analysis — Classification -- 3.5 Multispectral Space and Spectral Classes -- 3.6 Quantitative Analysis by Pattern Recognition -- 3.6.1 Pixel Vectors and Labelling -- 3.6.2 Unsupervised Classification -- 3.6.3 Supervised Classification -- References for Chapter 3 -- Problems -- 4 — Radiometric Enhancement Techniques -- 4.1 Introduction -- 4.1.1 Point Operations and Look Up Tables -- 4.1.2 Scalar and Vector Images -- 4.2 The Image Histogram -- 4.3 Contrast Modification in Image Data -- 4.3.1 Histogram Modification Rule -- 4.3.2 Linear Contrast Enhancement -- 4.3.3 Saturating Linear Contrast Enhancement -- 4.3.4 Automatic Contrast Enhancement -- 4.3.5 Logarithmic and Exponential Contrast Enhancement -- 4.3.6 Piecewise Linear Contrast Modification -- 4.4 Histogram Equalization -- 4.4.1 Use of the Cumulative Histogram -- 4.4.2 Anomalies in Histogram Equalization -- 4.5 Histogram Matching -- 4.5.1 Principle of Histogram Matching -- 4.5.2 Image to Image Contrast Matching -- 4.5.3 Matching to a Mathematical Reference -- 4.6 Density Slicing -- 4.6.1 Black and White Density Slicing -- 4.6.2 Colour Density Slicing and Pseudocolouring -- References for Chapter 4 -- Problems -- 5 — Geometric Enhancement Using Image Domain Techniques -- 5.1 Neighbourhood Operations -- 5.2 Template Operators -- 5.3 Geometric Enhancement as a Convolution Operation -- 5.4 ImageDomain Versus Fourier Transformation Approaches -- 5.5 Image Smoothing (Low Pass Filtering) -- 5.5.1 Mean Value Smoothing -- 5.5.2 Median Filtering -- 5.6 Edge Detection and Enhancement -- 5.6.1 Linear Edge Detecting Templates -- 5.6.2 Spatial Derivative Techniques -- 5.6.2.1 The Roberts Operator -- 5.6.2.2 The Sobel Operator -- 5.6.3 Thinning, Linking and Edge Responses -- 5.6.4 Edge Enhancement by Subtractive Smoothing -- 5.7 Line Detection -- 5.7.1 Linear Line Detecting Templates -- 5.7.2 Non-linear and Semi-linear Line Detecting Templates -- 5.8 General Convolution Filtering -- 5.9 Shape Detection -- References for Chapter 5 -- Problems -- 6 — Multispectral Transformations of Image Data -- 6.1 The Principal Components Transformation -- 6.1.1 The Mean Vector and Covariance Matrix -- 6.1.2 A Zero Correlation, Rotational Transform -- 6.1.3 An Example — Some Practical Considerations -- 6.1.4 The Effect of an Origin Shift -- 6.1.5 Application of Principal Components in Image Enhancement and Display -- 6.1.6 The Taylor Method of Contrast Enhancement -- 6.1.7 Other Applications of Principal Components Analysis -- 6.2 The Kauth-Thomas Tasseled Cap Transformation -- 6.3 Image Arithmetic, Band Ratios and Vegetation Indices -- References for Chapter 6 -- Problems -- 7 — Fourier Transformation of Image Data -- 7.1 Introduction -- 7.2 Special Functions -- 7.2.1 The Complex Exponential Function -- 7.2.2 The Dirac Delta Function -- 7.2.2.1 Properties of the Delta Function -- 7.2.3 The Heaviside Step Function -- 7.3 Fourier Series -- 7.4 The Fourier Transform -- 7.5 Convolution -- 7.5.1 The Convolution Integral -- 7.5.2 Convolution with an Impulse -- 7.5.3 The Convolution Theorem -- 7.6 Sampling Theory -- 7.7 The Discrete Fourier Transform -- 7.7.1 The Discrete Spectrum -- 7.7.2 Discrete Fourier Transform Formulae -- 7.7.3 Properties of the Discrete Fourier Transform -- 7.7.4 Computation of the Discrete Fourier Transform -- 7.7.5 Development of the Fast Fourier Transform Algorithm -- 7.7.6 Computational Cost of the Fast Fourier Transform -- 7.7.7 Bit Shuffling and Storage Considerations -- 7.8 The Discrete Fourier Transform of an Image -- 7.8.1 Definition -- 7.8.2 Evaluation of the Two Dimensional, Discrete Fourier Transform -- 7.8.3 The Concept of Spatial Frequency -- 7.8.4 Image Filtering for Geometric Enhancement -- 7.8.5 Convolution in Two Dimensions -- 7.9 Concluding Remarks -- References for Chapter 7 -- Problems -- Chapters 8—Supervised Classification Techniques -- I. Standard Classification Algorithms -- 8.1 Steps in Supervised Classification -- 8.2 Maximum Likelihood Classification -- 8.2.1 Bayes’Classification -- 8.2.2 The Maximum Likelihood Decision Rule -- 8.2.3 Multivariate Normal Class Models -- 8.2.4 Decision Surfaces -- 8.2.5 Thresholds -- 8.2.6 Number of Training Pixels Required for Each Class -- 8.2.7 A Simple Illustration -- 8.3 Minimum Distance Classification -- 8.3.1 The Case of Limited Training Data -- 8.3.2 The Discriminant Function -- 8.3.3 Degeneration of Maximum Likelihood to Minimum Distance Classification -- 8.3.4 Decision Surfaces -- 8.3.5 Thresholds -- 8.4 Parallelepiped Classification -- 8.5 Classification Time Comparison of the Classifiers -- 8.6 The Mahalanobis Classifier -- 8.7 Table Look Up Classification -- II. More Advanced Considerations -- 8.8 Context Classification -- 8.8.1 The Concept of Spatial Context -- 8.8.2 Context Classification by Image Pre-Processing -- 8.8.3 Post Classification Filtering -- 8.8.4 Probabilistic Label Relaxation -- 8.8.4.1 The Basic Algorithm -- 8.8.4.2 The Neighbourhood Function -- 8.8.4.3 Determining the Compatibility Coefficients -- 8.8.4.4 The Final Step – Stopping the Process -- 8.8.4.5 Examples -- 8.9 Classification of Mixed Image Data -- 8.9.1 The Stacked Vector Approach -- 8.9.2 Statistical Methods -- 8.9.3 The Theory of Evidence -- 8.9.3.1 The Concept of Evidential Mass -- 8.9.3.2 Combining Evidence – the Orthogonal Sum -- 8.9.3.3 Decision Rule -- 8.10 Classification Using Neural Networks -- 8.10.1 Linear Discrimination -- 8.10.1.1 Concept of a Weight Vector -- 8.10.1.2 Testing Class Membership -- 8.10.1.3 Training -- 8.10.1.4 Setting the Correction Increment -- 8.10.1.5 Classification – The Threshold Logic Unit -- 8.10.1.6 Multicategory Classification -- 8.10.2 Networks of Classifiers – Solutions of Nonlinear Problems -- 8.10.3 The Neural Network Approach -- 8.10.3.1 The Processing Element -- 8.10.3.2 Training the Neural Network – Backpropagation -- 8.10.3.3 Choosing the Network Parameters -- 8.10.3.4 Examples -- References for Chapter 8 -- Problems -- 9 — Clustering and Unsupervised Classification -- 9.1 Delineation of Spectral Classes -- 9.2 Similarity Metrics and Clustering Criteria -- 9.3 The Iterative Optimization (Migrating Means) Clustering Algorithm -- 9.3.1 The Basic . |
| Record Nr. | UNINA-9910813300103321 |
|
Richards John A
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Schallabsorber [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser
| Schallabsorber [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (VII, 61 S. 53 Abb., 17 Abb. in Farbe.) |
| Disciplina | 620.2 |
| Collana | Fachwissen Technische Akustik |
| Soggetto topico |
Acoustical engineering
Acoustics Noise control Engineering Acoustics Noise Control |
| ISBN | 3-662-55413-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Schallabsorption für Lärmschutz und Raumakustik -- Passive Absorber -- Modale Schallfelder bei tiefen Frequenzen -- Plattenresonatoren -- Helmholtz-Resonatoren -- Interferenzdämpfer -- Mikroperforierte Absorber -- Integrierte und integrierende Absorber -- Literatur. |
| Record Nr. | UNINA-9910483420903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Schalldämpfer [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser
| Schalldämpfer [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (VII, 41 S. 25 Abb., 4 Abb. in Farbe.) |
| Disciplina | 620.2 |
| Collana | Fachwissen Technische Akustik |
| Soggetto topico |
Acoustical engineering
Acoustics Noise control Engineering Acoustics Noise Control |
| ISBN | 3-662-55424-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Übersicht -- Wirkprinzipien -- Auslegungskenngrößen und -grundsätze -- Erfahrungswerte -- Berechnungsverfahren -- Messverfahren -- Literatur. |
| Record Nr. | UNINA-9910484555303321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Schallwirkungen beim Menschen [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser
| Schallwirkungen beim Menschen [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (30 pages) |
| Disciplina | 612.85 |
| Collana | Fachwissen Technische Akustik |
| Soggetto topico |
Acoustical engineering
Acoustics Noise control Engineering Acoustics Noise Control |
| ISBN | 3-662-55436-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Inhalt -- Physiologische Aspekte -- Wahrnehmung -- Gesundheitliche Beeinträchtigungen durch Lärm -- Nichtakustische Einflussgrößen (Moderatoren) -- Literatur. |
| Record Nr. | UNINA-9910484753203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sound & Vibration 2.0 [[electronic resource] ] : Design Guidelines for Health Care Facilities / / edited by David Sykes, Gregory C. Tocci, William J. Cavanaugh
| Sound & Vibration 2.0 [[electronic resource] ] : Design Guidelines for Health Care Facilities / / edited by David Sykes, Gregory C. Tocci, William J. Cavanaugh |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (85 p.) |
| Disciplina | 610.68 |
| Soggetto topico |
Acoustical engineering
Buildings—Design and construction Building Construction Engineering, Architectural Health administration Noise control Acoustics Interior architecture Interiors Engineering Acoustics Building Construction and Design Health Administration Noise Control Interior Architecture and Design |
| ISBN |
1-283-90821-2
1-4614-4987-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Note to Readers: -- Table of Contents -- Introduction -- Process Overview & Acknowledgements -- Development Timeline -- 1 Site Exterior Noise -- 1.1 General -- 1.2 Applicable Federal, State, and Local Codes and Regulations -- 1.3 Classification of non-facility produced exterior noise exposure -- 1.3.1 Exterior noise classifications -- A1.3 Procedure for determining composite sound transmission class rating (STCc) -- 1.4 Classification of facility produced exterior noise exposure -- 1.4.1 Heliports -- 1.4.2 Emergency power generators -- 1.4.3 Outdoor mechanical equipment -- 1.4.4 Building services -- 2 Acoustical Finishes and Details -- 2.1 General -- 2.2 Applicable Federal, State and Local Codes and Regulations -- 2.3 Design Criteria for Acoustical Finishes -- A2.3 Determination of Design Room Average Sound Absorption Coefficient ( design) and Room Sound Absorption Factors (AR, sf) -- 2.4 Considerations for NICUs (from Standard 21: Ceiling Finishes) -- A2.4.2 Interpretation: -- 3 Room Noise Levels -- 3.1 General -- 3.2 Federal, State and Local Codes, Regulations, and Guidelines -- 3.3 Design Criteria for Room Noise Levels -- 3.4 Conformance measurements of room sound level -- A3.4.1 Determination of Room Noise Level -- A3.4.2 Effect of Background Noise on Clinical Hearing Ability -- A3.4.3 Discussion of Background Noise Rating Criteria -- 3.5 Considerations for NICUs (from Standard 23: Acoustic Environment) -- A3.5.1 Interpretation: -- A3.5.2 Interpretation:.- 4 Sound Isolation Performance of Constructions -- 4.1 General -- 4.2 Applicable Federal, State and Local Codes and Regulation -- 4.3 Design guidelines for sound isolation between enclosed rooms -- A4.3.1 Typical partitions -- A4.3.2 Extraordinary partitions -- A4.3.3 Composite Sound Transmission Class (STCc) -- 4.4 Design guidelines for speech privacy between enclosed rooms -- A4.4 Enclosed Room Speech Privacy Design Guidance -- 4.5 Design guidelines for speech privacy in open-plan spaces -- 4.5 Open Plan Speech Privacy Design Guidance -- 4.6.1 Considerations for NICUs (from Standard 23: Acoustic Environment) -- 4.6.2 Considerations for NICUs (from Standard 23: Acoustic Environment) -- Speech Privacy References: -- A4.6 Interpretation: -- 5 Paging & Call Systems, Clinical Alarms, Masking Systems & Sound Reinforcement -- 5.1 General -- 5.2 Applicable Federal, State and Local Codes and Regulation -- 5.3 Paging and Call Systems -- 5.4 Clinical alarms -- A5.4 Audibility of tonal alarms -- 5.5 Masking Systems -- 5.6 Sound Reinforcement -- 5.7 Considerations for NICUs (from Standard 23: Acoustic Environment) -- A5.7 Interpretation: -- References -- 6 Building Vibration -- 6.1 General -- 6.2 Applicable Federal, State and Local Codes and Design Guides -- 6.3 Vibration Control and Isolation -- 6.3.1 Mechanical, Electrical and Plumbing Equipment (MEP) -- 6.3.2 Structural -- 6.3.3 Structureborne sound -- 6.3.4 Medical and laboratory instrumentation -- Glossary -- Partial List of Abbreviations -- References -- New references:. |
| Record Nr. | UNINA-9910437902603321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Strömungsgeräusche [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser
| Strömungsgeräusche [[electronic resource] /] / herausgegeben von Gerhard Müller, Michael Möser |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 |
| Descrizione fisica | 1 online resource (VII, 71 S. 63 Abb.) |
| Disciplina | 620.2 |
| Collana | Fachwissen Technische Akustik |
| Soggetto topico |
Acoustical engineering
Acoustics Noise control Engineering Acoustics Noise Control |
| ISBN | 3-662-55438-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Schallentstehung durch Strömungen -- Rohrleitungen (Kanäle) -- Ventilatoren (Gebläse) -- Verdichter -- Pumpen -- Elektromotoren -- Windenergieanlagen (WEA) -- Verwirbelte Ausströmung und Umströmung -- Armaturen (Ventile) -- Wassergeräusche in Kühltürmen -- Pneumatische Feststoff-Transportleitungen -- Industrielle Brenner -- Selbsterregte Schwingungen in Feuerungen -- Literatur. |
| Record Nr. | UNINA-9910484555503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Noise Control
(37)
- Noise control (37)
- Acoustics (29)
- Acoustical engineering (23)
- Engineering Acoustics (23)