This work is a handy desk reference for academic and public library music reference collections as well as teachers, musicians, and composers. The more than 250 books discussed represent a core bibliography on this late 20th-century phenomenon that is very much in transition as the concepts of electronic and computer merge into a single music, whether acoustic or electronic in origin. Of special interest is an up-to-date listing of on-line sources found on the Internet, including World Wide Web sites and electronic discussion lists. Topics represented include history, literature on synthesis and synthesizers, electronic music instruments and devices, electronic music composition, MIDI (Musical Instrument Digital Interface), the teaching of computer and electronic music, bibliographies and dictionaries. Covered by way of appendices are major dissertations and theses, lists of periodicals that have dealt with the subject, and a compilation of electronic music instrument and device system manuals currently in print.

Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing systems has become a key activity in Process Engineering. This activity involves the use of several methods and techniques including model solution techniques, nonlinear systems identification, model verification and validation, and optimal design of experiments just to name a few. In turn, several issues and open-ended problems arise within these methods, including, for instance, use of higher-order information in establishing parameter estimates, establishing metrics for model credibility, and extending experiment design to the dynamic situation.
The material covered in this book is aimed at allowing easier development and full use of detailed and high fidelity models. Potential applications of these techniques in all engineering disciplines are abundant, including applications in chemical kinetics and reaction mechanism elucidation, polymer reaction engineering, and physical properties estimation. On the academic side, the book will serve to generate research ideas.
- Contains wide coverage of statistical methods applied to process modelling
- Serves as a recent compilation of dynamic model building tools
- Presents several examples of applying advanced statistical and modelling methods to real process systems problems

Covering over 40 industries and dozens of applications, this is the first bibliography on the history of computer applications. After an introductory essay on the history of applications, the volume is divided into two time periods and includes over 1,600 entries, arranged by application and industry. Users will find sections on such fields as higher education, manufacturing, law enforcement, accounting, space travel, ATMs, artificial intelligence, banking, and trucking. Entries are annotated to describe their content and, when appropriate, their historical significance.

Compiled by a historian for other historians and economists, the bibliography draws on the entire spectrum of contemporary and historical literature: books, user's guides, trade journals, industry publications, technology and scholarly magazines and journals, and newsletters, including both American and European sources. As the author of several books on information processing and a member of the IBM Corporation, Cortada is in a good position to pick the historically significant literature for inclusion in this bibliography.

This book covers the theory, modeling, and implementation of different RF energy harvesting systems. RF energy harvesting is the best choice among the existing renewable energy sources, in terms of availability, cost, size, and integration with other systems. The device used for harvesting RF energy is called rectenna. A rectenna can work at the microwave, millimeter-wave, and terahertz waves. It also has the capability to operate at optical frequencies to be used for 6G and beyond communication systems. This book covers all aspects of wireless power transfer (WPT)/wireless energy harvesting (WEH), basics, theoretical concepts, and advanced developments occurring in the field of energy harvesting. It also covers the design theory for different types of antenna, rectifier, and impedance matching circuits used in RF energy harvesting systems. Different future and present applications, such as charging of vehicles, smart medical health care, self-driven e-vehicles, self-sustainable home automation system, and wireless drones, have also been discussed in detail.

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Data have almost no value in and for themselves. What's important is how they are used to create the information one needs to make informed decisions, and this is particularly true in making marketing decisions. Thus, Samli's new book dwells on the art and science of information generation and on how to convert it to practical knowledge. Without information and knowledge, says Samli, the firm faces great risk in the marketplace and its survival probabilities in the long run are very low. Samli explains, first, the various data generating procedures, with special emphasis on data analysis, and second, the procedures for creating information out of data -- all in a clear, systematic presentation that marketing managers will understand and benefit from immediately. Their MIS colleagues, whose goal should be to make data and information decision-maker friendly, will also benefit. A unique, valuable book for both.

The problem is not information overload as some contend, says Samli, but data overload. Data have almost no value in and for themselves. What's important is how data are used to create the information marketers need in order to make knowledgeable decisions. Thus, Samli's newest book dwells on the art and science of information generation and on how to convert it to practical knowledge. Without information and knowledge -- and another essential ingredient, wisdom -- the firm faces great risk in the marketplace and its survival probabilities in the long run are very low, says the author.

Samli starts by presenting the key elements that contribute to an information gap in the use of data for marketing decisions. He describes the evolution of information in decision making, the distinction between data and information, and the reasons why data gathering and processing have become so sophisticated and difficult to use. Samli goes on to discuss data collecting techniques, the dimensions and uses of internal data and their parameters, and identifies the best but most underrated data gathering method: observation. Surveys, experimentation, and research are covered next, including attitude and motivation research, with a careful analysis of how the research operation, as well as its products, should be managed. He goes on to explain how information is elicited from data and how it should be used; then, the various control mechanisms for information systems overall, and ends with his own agenda for the improvement of the entire information-driven marketing decision process. A clear, systematic presentation that marketing managers, and their MIS colleagues (who appreciate the need to make data and information decision-maker friendly), will find valuable and immediately beneficial.

Application of Artificial Intelligence in Early Detection of Lung Cancer presents the most up-to-date computer-aided diagnosis techniques used to effectively predict and diagnose lung cancer. The presence of pulmonary nodules on lung parenchyma is often considered an early sign of lung cancer, thus using machine and deep learning technologies to identify them is key to improve patients’ outcome and decrease the lethal rate of such disease. The book discusses topics such as basics of lung cancer imaging, pattern recognition techniques, deep learning, and nodule detection and localization. In addition, the book discusses risk prediction based on radiological analysis and 3D modeling. This is a valuable resource for cancer researchers, oncologists, graduate students, radiologists, and members of biomedical field who are interested in the potential of AI technologies in the diagnosis of lung cancer.

McGonagle and Vella maintain that competitive intelligence as we know it is just the first step toward the creation of true corporate intelligence. Their book thus explores ways in which new channels of communication and new uses of information and intelligence will change corporations, and how these changes can be anticipated now in an organization's strategic planning, crisis management, benchmarking, reverse engineering, and defensive intelligence activities. In doing so, they introduce readers to new techniques, such as shadow benchmarking and fractal management analysis. Readable, with useful checklists, forms, reminders, and drawing from real world cases, this book will be essential reading for executives in the public and private sectors, and their colleagues in the academic business community.

Vella and McGonagle premise their book on the evidence that modern companies throughout the world are undergoing radical, involuntary transformations, the result of an explosion of raw information suddenly available to them. Not only does this demand new ways to collect, process, and use information, but also a new way to look at and link information sources that until now have been unconnected. After discussing the importance of intelligence today and its greater importance tomorrow, Vella and McGonagle develop the concept of Cyber-Intelligence(TM), then show how it applies to strategy-creation, marketing, crisis management, benchmarking, and other organizational functions. They turn next to data gathering in the context of their Cyber-Intelligence(TM) concept, ending with a thoughtful discussion of where C-I is going next.

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

PEEK “UNDER THE HOOD� OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems