1529 products were found matching your search for Information Fusion In Data in 3 shops:

This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced techniques, including Gaussian mixture cardinalized probability hypothesis density (CPHD) filter, optimization on manifold, construction of filter banks and tight frames, structured sparse representation, and others. Containing a variety of illustrative and computational examples, Non-cooperative Target Tracking, Fusion and Control will be useful for students as well as engineers with an interest in information fusion, aerospace applications, radar data processing and remote sensing.

FREE Setup Charge! Save $35 when personalizing this item! 100% cotton; crewneck Unisex styling Features our exclusive Health Information Professionals: Because Data Makes A Difference design on front Adult Sizes: S-5XL Individually folded and bagged with size sticker

FREE Silkscreen Setup Charge! Save $55 when personalizing this item! Cotton comfort, unisex styling Crewneck, short sleeve t-shirt in black Features our exclusive recognition design on back AND your screenprinted personalization on front upper left chest Great way to recognize Health Information Professionals who always make a difference Sizes: S-4XL Each shirt is individually folded and polybagged with size sticker for easy distribution

This book describes the benefits of sensor fusion as illustrated by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance, sensor system application scenarios that may limit sensor size but still require high resolution data, and the attributes of data fusion architectures and algorithms. The data fusion algorithms discussed in detail include classical inference, Bayesian inference, Dempster-Shafer evidential theory, artificial neural networks, voting logic as derived from Boolean algebra expressions, fuzzy logic, and detection and tracking of objects using only passively acquired data. A summary is presented of the information required to implement each of the data fusion algorithms discussed. Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defense, and battlefield assessment are some of the applications that will benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text. Contents - List of Figures - List of Tables - Preface - Introduction - Multiple Sensor System Applications, Benefits, and Design Considerations - Data Fusion Algorithms and Architectures - Classical Inference - Bayesian Inference - Dempster-Shafer Evidential Theory - Artificial Neural Networks - Voting Logic Fusion - Fuzzy Logic and Fuzzy Neural Networks - Passive Data Association Techniques for Unambiguous Location of Targets - Retrospective Comments - Appendix A: Planck Radiation Law and Radiative Transfer - Appendix B: Voting Fusion with Nested Confidence Levels - Index

This book describes the benefits of sensor fusion as illustrated by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance, sensor system application scenarios that may limit sensor size but still require high resolution data, and the attributes of data fusion architectures and algorithms. The data fusion algorithms discussed in detail include classical inference, Bayesian inference, Dempster-Shafer evidential theory, artificial neural networks, voting logic as derived from Boolean algebra expressions, fuzzy logic, and detection and tracking of objects using only passively acquired data. A summary is presented of the information required to implement each of the data fusion algorithms discussed. Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defense, and battlefield assessment are some of the applications that will benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text. Contents - List of Figures - List of Tables - Preface - Introduction - Multiple Sensor System Applications, Benefits, and Design Considerations - Data Fusion Algorithms and Architectures - Classical Inference - Bayesian Inference - Dempster-Shafer Evidential Theory - Artificial Neural Networks - Voting Logic Fusion - Fuzzy Logic and Fuzzy Neural Networks - Passive Data Association Techniques for Unambiguous Location of Targets - Retrospective Comments - Appendix A: Planck Radiation Law and Radiative Transfer - Appendix B: Voting Fusion with Nested Confidence Levels - Index

100% cotton Crewneck; Short sleeves Unisex styling Features our exclusive Health Information Professionals: Because Data Makes A Difference design Individually folded and bagged with size stickers for easy distribution

With the OKI Data 52123603 Black High Capacity Toner Cartridge, experience the seamless fusion of efficiency, reliability, and high-quality printing. Specifically designed for the B730 Series Printers, this durable cartridge offers an impressive yield of approximately 25,000 pages, making it an ideal choice for high-volume printing needs. Crafted by Oki Data, a renowned brand in the printing industry, this cartridge ensures consistent, top-notch print quality. Its high capacity design not only guarantees long-lasting performance but also contributes to its cost-effectiveness, making it an affordable solution for your printing requirements. Whether you're printing business documents or academic materials, the OKI Data 52123603 Black High Capacity Toner Cartridge delivers reliable, high-quality results every time. Trust in the efficiency and durability of this cartridge to keep your B730 Series Printer running smoothly.

A "must" for every manager concerned with meeting the challenges of the 21st century. You'll see the differences between data and information in a new light, and understand precisely how misunderstanding those differences can affect the quality of your decision-making process. Starting with the structure of an organization, The Haystack Syndrome ends with a detailed description of the logic that must underpin the information system for any organization to maximize effectiveness.

Desktop reference provides tables, formulas, charts, diagrams, and worked out problems needed to solve the applied problems encountered by practicing engineers in design, operation, analysis, and economic evaluation. The first part addresses the basics of engineering, such as the general properties of materials; engineering units; thermodynamics; the mechanics of rigid bodies, deformable bodies, and fluids; and heat transfer. The second part covers specific fields of engineering. Annotation copyright Book News, Inc. Portland, Or.

Unread book in perfect condition.

The object-oriented paradigm has come to the forefront of the research community in the software engineering, programming language, and database research areas.

The growing importance of data science, and the increasing role of information professionals in the management and use of data, are brought together in Practical Data Science for Information Professionals to provide a practical introduction specifically designed for information professionals. Data science has a wide range of applications within the information profession, from working alongside researchers in the discovery of new knowledge, to the application of business analytics for the smoother running of a library or library services. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject. Content covered includes: the growing importance of data science the role of the information professional in data science some of the most important tools and methods that information professionals may use an analysis of the future of data science and the role of the information professional. This book will be of interest to all types of libraries around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, the book aims to reduce barriers for readers to use the lessons learned within.

Enterprise Health Information Management and Data Governance provides the fundamentals, principles, and practices for managing the data asset. Data growth rates are increasing at a phenomenal pace for most businesses. Enterprise Health Information Management and Data Governance tackles how healthcare organizations can manage their data in this era of dramatic data explosion and growing deployment of information technologies. Healthcare organizations must understand that their sustainability and future viability relies on the quality of their data and how they manage this resource on an enterprise-wide basis. This text provides a framework and logical structure to help students understand the components of health information management in a digital era and to provide them with opportunities to develop the necessary skills for performing functions associated with these components.Provides an outline of enterprise-wide information management (EIM) for healthcare Each chapter incorporates a case study, providing a real-world perspective to student learning and exploring the concepts and interrelationships of EIM and data governance Students are invited to be a part of the case study through a set of activities at the end of each chapter Advanced concepts are provided at the end of each chapter for in-depth analysis and study Aligns with AHIMA core competencies

Unread book in perfect condition.

Executing Data Quality Projects presents a systematic, proven approach to improving and creating data and information quality within the enterprise. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. This book describes a Ten Step approach that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. It includes numerous templates, detailed examples, and practical advice for executing every step of the approach. It allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. The author's trademarked approach, in which she has trained Fortune 500 clients and hundreds of workshop attendees, applies to all types of data and all types of organizations.Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.

Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type. The authors of Information Security Analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization.Written by security practitioners, for security practitionersReal-world case studies and scenarios are provided for each analytics techniqueLearn about open-source analytics and statistical packages, tools, and applicationsStep-by-step guidance on how to use analytics tools and how they map to the techniques and scenarios providedLearn how to design and utilize simulations for "what-if" scenarios to simulate security events and processesLearn how to utilize big data techniques to assist in incident response and intrusion analysis

Manufacturing Data Structures "Comprehensive yeteasy-to-read.Manufacturing Data Structures is filled withanecdotes, yet stresses the importance of maintaining dataaccuracy. It is valuable reading for all manufacturing managers."Jim Carnall Manufacturing Manager, Eastman Kodak "An entertainingand informative look at an important aspect of day to day businessin the MRP II environment. It clearly shows how data structuringmethodology can be directly applied to process industries such asthe Personal Products/Health and Beauty business." Jeff L. StevensManager, Packaging Sciences, Chesebrough-Ponds Canada"Manufacturing Data Structures shows, in a very practical way, howmanufacturing data can be used as a competitive weapon. It's acomprehensive guide, filled with solutions to everyday problems."Jim Hendrickson Plant Manager, Reckitt & Colman "An excellentbook.Very useful on the subject of data foundations formanufacturing. It has suggested further opportunities forimprovement in my own organisation." R.A. Watson Rolls-Royce MotorCars "Manufacturing Data Structures will be of immense value to thepractitioner." Chris Cage ICI Pharmaceuticals

262 pages. 9.00x6.00x0.75 inches. In Stock.

Operational information management is at a crossroads as it sheds the remaining vestiges of its paper-based processes and moves through the uncharted domain of electronic data processes. The final outcome is not yet in full focus, but real progress has been made in the transition to electronic documents providing the aviation industry with a clear direction. This book looks at a combination of industry initiatives and airline successes that point to the next steps that operators can take as they transition to fully integrated information management systems. Although the route has not been fully identified, it is evident that a key to successful long-term efficient information management is industry-wide cooperation. The chapters are authored by a range of experts in operational information management, and collectively, they outline ways that operators can improve efficiency across flight, ground and maintenance operations. Considerations and recommendations are identified and presented addressing the following priorities: Safety-critical information and procedures Human factors Information security Operational information standardization. The readership includes: Airline flight operations managers and standards personnel, Airline operating documents and publication specialists, Airline information managers, Commercial pilots, Airline maintenance managers and personnel, Manufacturers and vendors of aviation products, Aviation regulators and policy makers, Aviation researchers and developers of information technologies, and Military technical publications specialists.

Interactive data supports organizations to communicate effectively with their stakeholders and partners on the Internet and the World Wide Web. XBRL (eXtensible Business Reporting Language) is a key enabling technology for interactive data. XBRL links organizations and knowledge consumers in a variety of information value chains. XBRL is now in use in many countries and important settings. This book provides, for the first time, an in-depth analysis of XBRL. Thorough and up-to-date, this book explains the most popular constructs in XML, on which XBRL builds, and XBRL. The book provides business and policy makers, technologists and information engineers with an essential toolkit to understand the complete implementation of XBRL. The book begins with an overview of the business case for interactive data and XBRL. There is an introduction to XML and XBRL and the design and construction of XBRL taxonomies including extensions and multi-dimensional XBRL implementations. It provides a detailed analysis of the interaction of instance documents and taxonomies. The book also provides a synopsis of the most current XBRL technologies.