معرفی کتاب «Safe tank farms and (un)loading operations : a collection of booklets describing hazards and how to manage them» نوشتهٔ BP Safety Group، منتشرشده توسط نشر The Institution of Chemical Engineers در سال 2008. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
This book is part of the BP Process Safety Series and winner of Frank Lees Medal 2004 as the most meritorious publication on the topic of safety and loss prevention. Summarizing BP's decades of experience in auditing all sizes of depots, terminals and refineries, this booklet will be a gold mine of useful information to tank farm operators, managers, designers and auditors. It raises awareness to the possibility of common failures and their consequences, and helps readers to adopt safe designs and practices. New edition includes an incident description for the Buncefield fire of December 2005. Two new case studies have been added since the Third Edition. This is an excellent introduction to the topic for students. Content: Front Matter Table of Contents 1. Atmospheric Storage Tanks 2. Important Design Issues 3. Sources of Ignition 4. Loading and Unloading of Road and Rail Tankers 5. Loading and Unloading of Ships 6. Tank Level Measurement and Overfill Protection 7. Tank Inspection and Maintenance 8. Taking Tanks Out of Service for Maintenance and other Purposes 9. Other Safety and Environmental Matters 10. Some Points to Remember Test Yourself! Bibliography A comprehensive introduction to innovative methods in the field of biomedical signal analysis, covering both theory and practice. Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook. "Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting, storing, transmitting, analyzing, and displaying images have been developed in recent years, allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods, discussing both theoretical and practical aspects of biomedical signal analysis and interpretation." "After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling." "Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook."--Jacket
Biomedical signal analysis has become one of the most important visualization and interpretation methods in biology and medicine. Many new and powerful instruments for detecting,storing, transmitting, analyzing, and displaying images have been developed in recent years,allowing scientists and physicians to obtain quantitative measurements to support scientific hypotheses and medical diagnoses. This book offers an overview of a range of proven and new methods,discussing both theoretical and practical aspects of biomedical signal analysis and interpretation.After an introduction to the topic and a survey of several processing and imaging techniques, the book describes a broad range of methods, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy logic methods. The book then discusses applications of these theoretical tools to practical problems in everyday biosignal processing, considering such subjects as exploratory data analysis and low-frequency connectivity analysis in fMRI, MRI signal processing including lesion detection in breast MRI, dynamic cerebral contrast-enhanced perfusion MRI, skin lesion classification, and microscopic slice image processing and automatic labeling. Biomedical Signal Analysis can be used as a text or professional reference. Part I, on methods, forms a self-contained text, with exercises and other learning aids, for upper-level undergraduate or graduate-level students. Researchers or graduate students in systems biology, genomic signal processing, and computer-assisted radiology will find both parts I and II (on applications) a valuable handbook.
Foundations of medical imaging and signal recording Spectral transformations Information theory and principal component analysis Independent component analysis and blind source separation Dependent component analysis Pattern recognition techniques Fuzzy clustering and genetic algorithms Exploratory data analysis methods for fMRI Low-frequency functional connectivity in fMRI Classification of dynamic breast MR image data Dynamic cerebral contrast-enhanced perfusion MRI Skin lesion classification Microscopic slice image processing and automatic labeling NMR water artifact removal. Summarising BP's decades of experience in auditing all sizes of depots, terminals and refineries, this booklet will be a gold mine of useful information to tank farm operators, managers, designers and auditors. It raises awareness to the possibility of common failures and their consequences, and helps readers to adopt safe designs and practices. New edition includes an incident description for the Buncefield fire of December 2005. This title presents an excellent introduction to the topic for students. Two new case studies have been added since the 2006 edition. Summarising BP's decades of experience in auditing all sizes of depots, terminals and refineries, this booklet provides useful information to tank farm operators, managers, designers and auditors. It includes an incident description for the Buncefield fire of December 2005