Page 35
Page 35
Future Satellite Gravimetry and Earth Dynamics
Currently, a first generation of dedicated satellite missions for the precise mapping of the Earth’s gravity field is in orbit (CHAMP, GRACE, and soon GOCE). The gravity data from these satellite missions provide us with very new information on the dynamics of planet Earth. In particular, on the mass distribution in the Earth’s interior, the entire water cycle (ocean circulation, ice mass balance, continental water masses, and atmosphere), and on changes in the mass distribution. The results are fascinating, but still rough with respect to spatial and temporal resolution. Technical progress in satellite-to-satellite tracking and in gravity gradiometry will allow more detailed results in the future. In this special issue, Earth scientists develop visions of future applications based on follow-on high-precision satellite gravimetry missions.
Future data and security engineering ; 7th International conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, which was supposed to be held in Quy Nhon, Vietnam, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 24 full papers (of 53 accepted full papers) presented together with 2 invited keynotes were carefully reviewed and selected from 161 submissions. The other 29 accepted full and 8 short papers are included in CCIS 1306. The selected papers are organized into the following topical headings: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and applications; industry 4.0 and smart city: data analytics and security; advanced studies in machine learning for security; and emerging data management systems and applications.
Future data and security engineering : Big data, security and privacy, smart city and industry 4.0 applications ; 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.* The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.
Fundamentals of statistics with fuzzy data
This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general.
Fundamentals of Relational Database Management Systems
Information is a valuable resource to an organization. Computer software provides an efficient means of processing information, and database systems are becoming an increasingly common means by which it is possible to store and retrieve information in an effective manner. This book provides comprehensive coverage of fundamentals of database management systems. This book is for those who wish a better understanding of relational data modeling, its purpose, its nature, and the standards used in creating relational data models.
Fundamentals of Powder Diffraction and Structural Characterization of Materials
Pecharsky (Iowa State University) and Zavalij (State University of New York, Binghamton) explain in their preface that the powder diffraction method has been used for more than 90 years as a means of structural characterization of materials; but it has become even more important to advancements in materials science, chemistry, physics, natural sciences, and engineering due to developments in the past decade such as digital x-ray recording, groundbreaking work showing the application of powder diffraction data to structure refinement and solution, and computers and the internet. This text for undergraduate and graduate students requires no prior knowledge of the subject. It provides both theoretical and practical coverage with emphasis on data collected using conventional x-ray sources and general-purpose powder diffractometers. The included CD-ROM contains color versions of some 300 illustrations as well as powder diffraction data needed for the end-of-chapter problems.
Fundamentals of multimedia ; 3rd ed.
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies.
Fundamentals of multimedia ; 2nd ed.
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies.
Fundamentals of information systems security ; 3rd ed.
Provides a comprehensive overview of the essential concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of the new risks, threats, and vulnerabilities associated with the transition to a digital world. Part 2 presents a high level overview of the Security+ Exam and provides students with information as they move toward this certification. The book closes with information on information security standards, education, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of information systems security ; 4th ed.
Provides a comprehensive overview of the concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of emerging technologies and the risks, threats, and vulnerabilities associated with our digital world. Part II takes a deeper dive into the foundational knowledge areas and functions associated with a career in information security. The book closes with a survey of information security standards, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of image data mining : Analysis, features, classification and retrieval
Presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms / Develops many new exercises (most with MATLAB code and instructions) / Includes review summaries at the end of each chapter / Analyses state-of-the-art models, algorithms, and procedures for image mining / Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing / Demonstrates how features like color, texture, and shape can be mined or extracted for image representation / Applies powerful classification approaches: Bayesian classification, support vector machines, neural / networks, and decision trees / Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization
Fundamentals of Food Process Engineering
While continuing the tradition of expansive coverage, Fundamentals of Food Process Engineering, Third Edition, has been fully updated and revised. The new edition of this classic text emphasizes problem solving, including technological principles that form the basis for a process so that the process can be better understood and the selection of processing parameters to maximize product quality and safety can be made more effective. In addition, the book contains new, hard-to-find data needed to conduct food process engineering calculations.
Fundamentals of drug development
Discusses how to conduct pharmaceutical research and the context for how the industry fits into global healthcare. Holistically, the well-qualified author helps readers and students of drug development appreciate the time and expense of the process. Specifically, the work identifies the emerging trends shaping the future of drug development, along with important related topics like generic drugs, data sharing, and collaboration.
Fundamentals of Data Mining in Genomics and Proteomics
The book presents key analytical techniques used to analyze genomic and proteomic data by detailing their underlying principles, merits and limitations. An important goal of this text is to provide a highly intuitive and conceptual (as opposed to intricate mathematical) account of the discussed methodologies. This treatment will enable readers with interest in analysis of genomic and proteomic data to quickly learn and appreciate the essential properties of relevant data mining methodologies without recourse to advanced mathematics.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
Fundamentals of building performance simulation
Pares the theory and practice of a multi-disciplinary field to the essentials for classroom learning and real-world applications. Authored by a veteran educator and researcher, this textbook equips graduate students and emerging and established professionals in engineering and architecture to predict and optimize buildings’ energy use. It employs an innovative pedagogical approach, introducing new concepts and skills through previously mastered ones and deepening understanding of familiar themes by means of new material. Covering topics from indoor airflow to the effects of the weather, the book’s 19 chapters empower learners to: Understand the models and assumptions underlying popular BPS tools ; Compare models, simulations, and modelling tools and make appropriate selections ; Recognize the effects of modelling choices and input data on simulation predictions
Fundamentals in Nuclear Physics : From Nuclear Structure to Cosmology
Explores nuclear physics and its applications ranging from the structure of nuclei and their reactions, to astrophysics and cosmology. The physics is introduced with arguments based on simple ideas such as the empirical structure of nuclear forces and its interplay with the Pauli principle and Coulomb repulsion. The book then develops elementary nuclear models and illustrates nuclear systematics with experimental data. Reactions and decays are discussed both phenomenologically and from the point of view of fundamental electro-weak interaction theory. The discussions of fission and fusion emphasize nuclear energy production. This leads directly into nuclear astrophysics and nucleosynthesis. The book ends with a presentation of the latest ideas about cosmology. As a primer this course will lay the foundations for more specialized subjects within the vast domain of nuclear physics as a whole. This book emerged from a series of topical courses the authors delivered at the Ecole Polytechnique and will be useful for advanced undergraduates and for scientists in a variety of fields.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental networking in Java
This book is an in-depth learning and teaching resource for the understanding and programming of TCP/IP networking in Java. It covers 'everything you can do to a socket in Java' and explains when and why you might - or might not - want to do that. The book covers TCP and UDP using both blocking streams and non-blocking channels, and also SSL secure sockets in both blocking and non-blocking modes, unravelling the mysteries of the SSLEngine in the process. Particular attention is paid to the neglected topics of multi-homing and multicast. A unique chapter on client and server architectures uses a quantitative approach rather than the usual design-patterns approach, leading to architectures with predictable performance rather than just coding elegance.
Fundamental approaches to software engineering ; 24th International Conference, FASE 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021, Proceedings
This book constitutes the proceedings of the 24th International Conference on Fundamental Approaches to Software Engineering, FASE 2021, which took place during March 27–April 1, 2021, and was held as part of the Joint Conferences on Theory and Practice of Software, ETAPS 2021.
