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Under a Memorandum of Understanding between Indonesia and Australia, traditional Indonesian fishermen are permitted access to fish in a designated area inside the 200 nautical mile Australian Fishing Zone (AFZ). However, crew and vessels are regularly apprehended for illegal fishing activity outside the permitted areas and, after prosecution in Australian courts, their boats and equipment are destroyed and the fishermen repatriated to Indonesia. This is an ethnographic study of one group of Indonesian maritime people who operate in the AFZ. It concerns Bajo people who originate from villages in the Tukang Besi Islands, Southeast Sulawesi. It explores the social, cultural, economic and historic conditions which underpin Bajo sailing and fishing voyages in the AFZ. It also examines issues concerning Australian maritime expansion and Australian government policies, treatment and understanding of Bajo fishing. The study considers the concept of “traditional” fishing regulating access to the MOU area based on use of unchanging technology, and consequences arising from adherence to such a view of “traditional”; the effect of Australian maritime expansion on Bajo fishing activity; the effectiveness of policy in providing for fishing rights and stopping illegal activity, and why Bajo continue to fish in the AFZ despite a range of ongoing restrictions on their activity.

Declining access to fresh water is one of the twenty-first century's most pressing environmental and human rights challenges, yet the struggle for water is not a new cause. The 8,800-kilometer border dividing Canada and the United States contains more than 20 percent of the world's total freshwater resources, and Border Flows traces the century-long effort by Canada and the United States to manage and care for their ecologically and economically shared rivers and lakes. Ranging across the continent, from the Great Lakes to the Northwest Passage to the Salish Sea, the histories in Border Flows offer critical insights into the historical struggle to care for these vital waters. From multiple perspectives, the book reveals alternative paradigms in water history, law, and policy at scales from the local to the transnational. Students, concerned citizens, and policymakers alike will benefit from the lessons to be found along this critical international border.

Boundary Element Method for Plate Analysis offers one of the first systematic and detailed treatments of the application of BEM to plate analysis and design.

Aiming to fill in the knowledge gaps left by contributed volumes on the topic and increase the accessibility of the extensive journal literature covering BEM applied to plates, author John T. Katsikadelis draws heavily on his pioneering work in the field to provide a complete introduction to theory and application.

Beginning with a chapter of preliminary mathematical background to make the book a self-contained resource, Katsikadelis moves on to cover the application of BEM to basic thin plate problems and more advanced problems. Each chapter contains several examples described in detail and closes with problems to solve. Presenting the BEM as an efficient computational method for practical plate analysis and design, Boundary Element Method for Plate Analysis is a valuable reference for researchers, students and engineers working with BEM and plate challenges within mechanical, civil, aerospace and marine engineering.

• One of the first resources dedicated to boundary element analysis of plates, offering a systematic and accessible introductory to theory and application
• Authored by a leading figure in the field whose pioneering work has led to the development of BEM as an efficient computational method for practical plate analysis and design
• Includes mathematical background, examples and problems in one self-contained resource

The Boundary Flux Handbook summarizes over 100 chemical compounds (single compounds, in mixed solution) and different feed streams from industry (complex streams exiting the agricultural, biological, pharmaceutical, food, dye, textile, and other industries) and the respective critical and threshold fluxes (or boundary flux), together with data on rejection and permeabilities. It gives the reader valuable data to quickly estimate membrane performances in respect to productivity, selectivity, and longevity, and aids in estimating capital and operating costs of membrane processes during the plant design operations.

The book is valuable for scientific researchers and chemical engineers working with membrane technology as a reference for lab work, membrane process design, and control. For each specific feedstock, only the best performing membranes are listed. At least one commercial membrane module and a maximum of four different choices are reported, in order to assure easy integration of the proposed membranes into the systems by contacting the relevant commercial partner, and to define the best choice of the pretreatment steps, permitting quick membrane process optimization or revamping operations.

• This text summarizes over 100 chemical compounds, different feed streams from industry, and the respective critical and threshold fluxes.   
• It gives the reader valuable data to quickly estimate membrane performances in respect to productivity, selectivity and longevity.
• For each studied feedstock, only the best performing membrane(s) are listed, including one commercial and a maximum of four different choices, to assure the possibility to easily integrate the proposed membranes into the systems by contacting the relevant commercial partner.

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures.

"Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss:

• How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes.
• Important data warehouse technologies and practices.
• Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.

• Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast
• Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse
• Demystifies data vault modeling with beginning, intermediate, and advanced techniques
• Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability.  It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion.  Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others.  It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.

In recent years, terms like “big data” and “big data analytics” have been introduced into the business and technical lexicon.  Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness.  Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate.  More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.

• Provides ideas for improving the business performance of one’s company or business functions
• Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
• Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem.

This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations.

· Teaches how to discover, construct and refine models that are useful in business situations
· Teaches how to design, discover and develop the data necessary for mining
· Provides a practical approach to mining data for all business situations
· Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data
· Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.