A member of the AWL OD Series! This book presents a conceptual framework for organizations that will help managers and change- practitioners to better understand organizations. Drawing on that framework, the book describes an approach for diagnosing failings in organizational functioning and for planning a comprehensive set of actions needed to change the organization into a more effective system. This approach, called "Stream Analysis," is explained in detail and examples from three types of organizations are used to illustrate the explanation of the techniques of Stream Analysis.

Automated Stream Analysis for Process Control, Volume 1 provides information pertinent to stream analyzers and its elements, including the system, construction, control, and operation. This book examines the results of the analysis, which must be used properly by the computer in order to regulate the process controls so that the process stream will obtain its ultimate goal. Organized into 12 chapters, this volume starts with an overview of the uses of liquid flow-injection analytical devices in process control applications within the chemical production plant. This text then examines the initial two techniques, namely, ion chromatography and ion exclusion chromatography that are used to analyze over 90 varieties of ions down to part-per-billion in aqueous streams in laboratory applications in academic, government, and industrial laboratories. Other chapters consider monitoring of gas streams generated from process development units. Chemists, chemical engineers, analytical chemists, as well as laboratory and plant managers will find this book extremely useful.

This text integrates a wide range of research and tidal resource theory and data to present a detailed analysis of the physics and oceanography of tidal stream power devices together with a world wide resource analysis. Clearly structured throughout the book is divided into two distinct parts. Part One provides the theoretical background to the subject and deals with the historical development of the harmonic method for the synthesis of tidal currents; the principles of fluid and tidal flow and the principles of device ducts, turbines and electrical systems. A review and analysis of more than forty tidal stream power proposals is also discussed. Part Two provides a comprehensive overview of current practice. The economic modelling of tidal stream power installations is covered with more than three hundred current meter records from around the world used to analyse the potential and cost of tidal stream power on a global basis. Hallmark Features: reviews the tidal resources around the world complete analysis of tidal stream power systems includes historical information on tidal science and biographical information on major figures concentrates on engineering physical geography rather than engineering specifics includes a website with a wide range of computer models, data and simulations

It is now a decade since the appearance of W. Diffie and M. E. Hellmann's startling paper, "New Directions in Cryptography". This paper not only established the new field of public-key cryptography but also awakened scientific interest in secret-key cryptography, a field that had been the almost exclusive domain of secret agencies and mathematical hobbyist. A number of ex cellent books on the science of cryptography have appeared since 1976. In the main, these books thoroughly treat both public-key systems and block ciphers (i. e. secret-key ciphers with no memo ry in the enciphering transformation) but give short shrift to stream ciphers (i. e. , secret-key ciphers wi th memory in the enciphering transformation). Yet, stream ciphers, such as those . implemented by rotor machines, have played a dominant role in past cryptographic practice, and, as far as I can determine, re main still the workhorses of commercial, military and diplomatic secrecy systems. My own research interest in stream ciphers found a natural re sonance in one of my doctoral students at the Swiss Federal Institute of Technology in Zurich, Rainer A. Rueppe1. As Rainer was completing his dissertation in late 1984, the question arose as to where he should publish the many new results on stream ciphers that had sprung from his research.

Automated Stream Analysis for Process Control, Volume 2 focuses on the various approaches to choosing the sample preparation, sample point, sample transport, and analyzer that are best suited for the components in a specific process stream. This book discusses the engineering approach to the design of a process-control system as well as the interfacing of the analytical results with computers to apprise the operator of the progress of the stream operation. Comprised of eight chapters, this volume starts with an overview of the calibration methods and explains its advantages and disadvantages. This book then discusses the techniques that may enhance the accuracy of the calibration procedure. Other chapters provide an in-depth discussion of the chemical reactions and scope of analytical procedures utilized in the brewing of a popular beer. This text discusses as well how every process can be made more profitable by implementing continuous analytical procedures to monitor the different reactions occurring in the process. Chemists, chemical engineers, analytical chemists, as well as laboratory and plant managers will find this book extremely useful.

Dr.K.Sundravadivelu, Assistant Professor, Department of Computer Science, School of Information Technology, Madurai Kamaraj University, Madurai, Tamil Nadu, India. Mrs.P.Renuka, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mrs.V.Suganthi, Assistant Professor, Department of Computer Science, C.T.T.E College for Women, Affiliated to University of Madras, Chennai, Tamil Nadu, India. Mrs.S.Durgadevi, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mr.B.Murali Krishna, Assistant Professor, Department of Computer Science and Engineering, Vignan's LARA Institute of Technology and Science, Vadlamudi, Andhra Pradesh, India.

Examining the science of stream restoration, Rebecca Lave argues that the neoliberal emphasis on the privatization and commercialization of knowledge has fundamentally changed the way that science is funded, organized, and viewed in the United States. Stream restoration science and practice is in a startling state. The most widely respected expert in the field, Dave Rosgen, is a private consultant with relatively little formal scientific training. Since the mid-1990s, many academic and federal agency-based scientists have denounced Rosgen as a charlatan and a hack. Despite this, Rosgen's Natural Channel Design approach, classification system, and short-course series are not only accepted but are viewed as more legitimate than academically produced knowledge and training. Rosgen's methods are now promoted by federal agencies including the Environmental Protection Agency, the U.S. Forest Service, the U.S. Fish and Wildlife Service, and the Natural Resources Conservation Service, as well as by resource agencies in dozens of states. Drawing on the work of Pierre Bourdieu, Lave demonstrates that the primary cause of Rosgen's success is neither the method nor the man but is instead the assignment of a new legitimacy to scientific claims developed outside the academy, concurrent with academic scientists' decreasing ability to defend their turf. What is at stake in the Rosgen wars, argues Lave, is not just the ecological health of our rivers and streams but the very future of environmental science.

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.