Название: Modern Radio Signals Filtering Devices Methods, Technologies, & Structures Автор: Grigory M. Aristarkhov, Yuri V. Gulyaev, Valery F. Dmitriev Издательство: Bentham Books Год: 2024 Страниц: 504 Язык: английский Формат: pdf (true) Размер: 27.0 MB
This comprehensive book covers spectral analysis theory for radio signals and innovative devices designed for filtering electromagnetic waves across diverse frequency ranges. The book features 14 chapters that explain the working of devices utilizing surface and bulk acoustic waves. The chapters provide insights into acousto-optical and acousto-electronic Fourier processors' design principles, description methods, and characteristics. The inclusion of algorithms for multi-channel frequency discriminators enhances the precision of radio signal frequency measurements, ensuring stability in tracking frequency meters amidst intense interference. The book also includes mathematical modeling and experimental studies of waveguide microwave filters and X-band multiplexers, specifically tailored for non-pressurized radio electronic equipment in space communication systems. Notably, the book introduces readers to a compelling alternative to conventional filters: 2-D periodic structures in the form of thin perforated metal meshes that offer compact solutions for millimeter and sub-millimeter wave systems. A significant portion of the book is dedicated to the development of highly selective microstrip filters, incorporating complex topological structures with limited resonators and numerous couplings. This approach allows for the formation of numerous attenuation poles at finite frequencies, facilitating the achievement of high electrical parameters and compact filter sizes.
Название: Online Security For Beginners - 18th Edition, 2024 Автор: Papercut Limited Издательство: Papercut Limited Год: 2024 Страниц: 100 Язык: английский Формат: pdf Размер: 44.6 MB
Книга "Онлайн-безопасность для начинающих" - это ваш первый выбор, поскольку безопасность в Интернете является актуальной темой в наш современный цифровой век. Поскольку хакеры получают доступ к нашим ценным данным, мошенники лишают нас денег, а дети становятся мишенью для злоумышленников, нам необходимо защищать себя в Интернете. Эта книга поможет вам понять, какие опасности таит в себе Интернет и как предотвратить их появление для вас и ваших детей.
Название: Learn Python the Hard Way, 5th Edition Автор: Zed A. Shaw Издательство: Addison-Wesley Professional/Pearson Education Год: 2024 Страниц: 348 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
You Will Learn Python! Zed Shaw has created the world's most reliable system for learning Python. Follow it and you will succeed–just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you'll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you'll learn how a computer works, how to solve problems, and how to enjoy programming ... even when it's driving you crazy. This book instructs you in Python by slowly building and establishing skills through techniques such as practice and memorization, then applying them to increasingly difficult problems. By the end of the book you will have the tools needed to begin learning more complex programming topics. I like to tell people that my book gives you your “programming black belt.” What this means is that you know the basics well enough to now start learning programming. If you work hard, take your time, and build these skills, you will learn to code.
Название: Intelligent Technologies for Automated Electronic Systems Автор: S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee Издательство: Bentham Books Год: 2024 Страниц: 234 Язык: английский Формат: pdf (true) Размер: 48.4 MB
This volume explores a diverse range of applications for automated Machine Learning and predictive analytics. The content provides use cases for Machine Learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. The major objective of Smart Electronic Systems is to provide a platform where researchers from the fields of hardware and software may work together under one roof to speed up the development of smart electronic systems. Effective and secure data sensing, storage, and processing are essential in today's information age. Modern smart electronic systems meet the criteria of effective sensing, storage, and processing. Effective techniques and software that allow for a quicker analysis and retrieval of necessary data are simultaneously becoming more important. The internet world now includes big data, which comprises large, complex data collections. It is becoming harder to store and analyse the vast amount of structured and unstructured data that has to be collected. With concurrent hardware and software development, the Internet of Things (IoT) and cyber-physical systems (CPS) have been growing to include everyday consumer electronics. The effectiveness and performance of current and next generations of computing and information processing systems depend on advancements in both hardware and software. Some of the focused areas in this field include memristor and memristive systems, advanced 3D IC technologies, design methodologies, and 3D pacing. Others include molecular electronics, biosensors, bio-molecular and biologically inspired computing, nanoelectronics for energy harvesting, spintronics, domain-wall and phase-change memories, and nanoelectronics for energy harvesting.
Название: Software Project Management: Methods and Techniques Автор: Lawrence J. Peters Издательство: CRC Press Год: 2024 Страниц: 245 Язык: английский Формат: pdf (true) Размер: 10.1 MB
The management of a software project has been shown to be the number one factor in determining a software development project’s success. It has been found that most software projects fail because of poor management. Not surprisingly, most software development managers have not been trained in project management. Software Project Management: Methods and Techniques aims to remedy this situation in two ways: familiarizing software developers with the elements of the project management discipline and providing fact-based resources on practicing software project management. Much like the checklist pilots go through prior to a flight, this book provides a pre-project checklist which enables the software engineering team to review and evaluate an extensive set of technical and sociopolitical risks which will help the software project manager and the team determine the project team’s chances of success. This same list and the individual question responses can be used later as part of the project’s closeout process helping team members to improve their individual and collective abilities to assess risk. Intended for both students and software project managers, the book is organized along the lines of the five major functions of a software project manager: planning; scheduling and costing; controlling; staffing; and motivating. The basics of each of these functions are presented in a single chapter.
Название: Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques Автор: Massimo D’Elia, Kurt Langfeld, Biagio Lucini Издательство: CRC Press Год: 2024 Страниц: 401 Язык: английский Формат: pdf (true) Размер: 10.3 MB
Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field. Alongside the advances in computer hardware and the steady increase of available computer resources, computer simulations for advanced scientific computing have enjoyed an upsurge in interest. Practitioners and scientists realised that many applications have stochastic elements for a number of reasons: the lack of data is compensated by a stochastic model replacing those data; a deterministic description of a system is neither possible nor desirable. The Data Science revolution over the last decade has delivered many practical solutions using algoritms called Machine Learning (ML) or Artificial Intelligence (AI). It has triggered a proliferation of tools for everyday life with tremendous impacts, such as speech recognition, voice, image and video generation and medical and other expert systems to name just a few.
Название: PROC FCMP User-Defined Functions: An Introduction to the SAS Function Compiler Автор: Troy Martin Hughes Издательство: SAS Institute Inc. Год: 2024 Страниц: 425 Язык: английский Формат: pdf, epub Размер: 10.1 MB
In PROC FCMP User-Defined Functions, readers are introduced to the SAS Function Compiler, which enables users to create user-defined functions and subroutines. These modular, callable software components complement the diverse array of SAS built-in functions and extend the SAS programming language, creating more building blocks for constructing future software! The book opens by introducing the role of functions in software design and explaining how functions improve software quality characteristics. It then moves on to basic PROC FCMP syntax, including how to define and call user-defined functions. Next, readers learn about the SAS array and hash object, the primary data structures leveraged by PROC FCMP, and how PROC FCMP can manipulate them behind the scenes. Finally, the Python Component Object is introduced, which facilitates the interoperability of SAS and Python. PROC FCMP runs Python functions natively inside a SAS wrapper, which allows open-source functions to be incorporated without needing to be rewritten in SAS. The Python language has become one of the most versatile, widely distributed programming languages in the world. Can I say that in a SAS book? Yes! Because the SAS Institute is not only aware of this success—they are capitalizing on it, as they continue their commitment to platform and software interoperability. The FCMP procedure helps facilitate the integration of Python and the SAS application through the Python Component Object, which enables Python functions to be executed inside user-defined SAS functions and subroutines.
Название: R for the Rest of Us: A Statistics-Free Introduction Автор: David Keyes Издательство: No Starch Press Год: 2024 Страниц: 306 Язык: английский Формат: pdf, epub Размер: 31.8 MB
The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-word applications that you can put to use right away. You’ll learn how to create informative visualizations, streamline report generation, and develop interactive websites—whether you’re a seasoned R user or have never written a line of R code. Many people think of R as simply a tool for hardcore statistical analysis, but it can do much more than manipulate numerical values. After all, every R user must illuminate their findings and communicate their results somehow, whether that’s via data visualizations, reports, websites, or presentations. Also, the more you use R, the more you’ll find yourself wanting to automate tasks you currently do manually. No matter your background, using R can transform your work. This book is for you if you’re either a current R user keen to explore its uses for visualization and communication or a non-R user wondering if R is right for you. I’ve written R for the Rest of Us so that it should make sense whether or not you’ve ever written a line of R code. But even if you’ve written entire R programs, the book should help you learn plenty of new techniques to up your game. R is a great tool for anyone who works with data.
Название: IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications Автор: Samayveer Singh, Manju, Aruna Malik Издательство: Bentham Books Серия: Advances in Computing Communications and Informatics Год: 2024 Страниц: 142 Язык: английский Формат: pdf (true) Размер: 26.8 MB
This volume explores IoT architectures, their configuration, and operability in wireless sensor networks. The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers. The Internet of Things (IoT) significantly broadens the use of information technology by fusing the physical and digital worlds. The third wave of the IT industry revolution is currently being led by futuristic device-based networking. As equipment becomes more digitalized and interconnected, networks between machines, people, and the Internet are formed. This results in the development of new ecosystems that allow for increased productivity, improved energy efficiency, and increased profitability. Sensors help to recognize the state of things, by which they gain the advantage of anticipating human needs based on the information collected per context. These sophisticated devices can make decisions on their own without human assistance in addition to gathering information from their surroundings. For graduate and post graduate students and faculty members in the field of networking and IoT.
Название: Frame Theory in Data Science Автор: Zhihua Zhang, Palle E.T. Jorgensen Издательство: Springer Год: 2024 Страниц: 262 Язык: английский Формат: pdf (true), epub Размер: 39.3 MB
This book establishes brand-new frame theory and technical implementation in Data Science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis. Given that Data Science is unanimously recognized as a core driver for achieving Sustainable Development Goals of the United Nations, these frame techniques bring fundamental changes to multi-channel data mining systems and support the development of digital Earth platforms. This book integrates the authors' frame research in the past twenty years and provides cutting-edge techniques and depth for scientists, professionals, and graduate students in Data Science, applied mathematics, environmental science, and geoscience. In this book, we have established the theory of Dirac frames, polynomial frames, quasiorthogonal frames, periodic frames, and frame trees, and characterized adaptive segmentation of data spectral domain by quasi-orthogonal and pseudo-project frame operators. As an emerging branch of statistical and Deep Learning, frame networks can automatically acquire novel knowledge from observation data through a statistical learning process and then makes reliable predictions and downscaling. A frame network consists of three layers: the input layer, the hidden layer, and the output layer, where various frames are embedded into each node of the hidden layer and frame coefficients are used as the weight of the directed edges from one node to another node.
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