Query and modify data effectively with the latest T-SQL features Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance. Long-time Microsoft Data Platform MVP Itzik Ben-Gan explains key T-SQL concepts, helping you apply your knowledge with hands-on exercises. Ben-Gan first introduces T-SQL's theory and underlying logic, illuminating it as both a language and a way of thinking. Next, he walks through core topics, including logical query processing, single table queries, joins, subqueries, table expressions, set operators, data analysis, data modifications, temporal tables, and transactions and concurrency. Building on this foundation, you'll enhance your coding capabilities, from programmatic constructs to the powerful new SQL Graph. Throughout, Ben-Gan presents reusable T-SQL sample code that works in cloud, on-premises, and hybrid environments. Microsoft Data Platform MVP Itzik Ben-Gan helps you: Understand why T-SQL works as it does, so you can write better code Review relational theory elements and modern SQL Server architecture Create tables and defi ne data integrity Build single-table SELECT queries, multiple-table joins, and subqueries Utilize derived tables, Common Table Expressions, views, inline table-valued functions, and APPLY Make the most of UNION, INTERSECT, and EXCEPT set operators Perform data analysis with window functions, pivoting, grouping sets, and time series Insert, update, delete, and merge data Get started with system-versioned temporal tables Understand and apply transactions and concurrency, including concurrent user connections, locks, blocking, isolation levels, and more Use SQL Graph to model, create, modify, and query graph-based data Explore SQL Server programmable objects and programming capabilities Set up your environment, install sample databases, and fi nd even more help For IT Professionals and Consultants For T-SQL developers, DBAs, BI practitioners, data scientists, report writers, analysts, architects, and SQL Server power users For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance
Analyzing Social Media Networks with NodeXL: Insights from a Connected World, Second Edition, provides readers with a thorough, practical and updated guide to NodeXL, the open-source social network analysis (SNA) plug-in for use with Excel. The book analyzes social media, provides a NodeXL tutorial, and presents network analysis case studies, all of which are revised to reflect the latest developments. Sections cover history and concepts, mapping and modeling, the detailed operation of NodeXL, and case studies, including e-mail, Twitter, Facebook, Flickr and YouTube. In addition, there are descriptions of each system and types of analysis for identifying people, documents, groups and events. This book is perfect for use as a course text in social network analysis or as a guide for practicing NodeXL users. Walks users through NodeXL while also explaining the theory and development behind each step Demonstrates how visual analytics research can be applied to SNA tools for the mass market Includes updated case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and Instagram Includes downloadable companion materials and online resources at https://www.smrfoundation.org/nodexl/teaching-with-nodexl/teaching-resources/
This is a mathematics textbook with theorems and proofs. The choice of topics has been guided by the needs of computer science students. The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and yet sufficiently elementary for undergraduates. In order to provide a balanced treatment of logic, tableaux are related to deductive proof systems. The book presents various logical systems and contains exercises. Still further, Prolog source code is available on an accompanying Web site. The author is an Associate Professor at the Department of Science Teaching, Weizmann Institute of Science.
This open access book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational robots: differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities, most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.
When collaboration works, the results can be breath-taking! But it doesn’t always deliver on its potential. Collaboration has been defined as "an unnatural act practiced by non-consenting adults". And often that’s exactly what it is! Some collaboration can be painfully difficult with the result that problems are either ignored or smoothed over until the collaboration falters or disintegrates, or self-interest and personal agendas take over and conflict quickly arises. Collaboration and partnerships work well in the aid sector because they have to – no one body has the resources to solve massive problems on their own. Business often sees the advantages of collaboratively sharing costs without fully recognizing the shift in mindset that is required to take managers with a “winner takes all” worldview and get them performing effectively in a win-win world. Part of the solution lies in bringing consciousness to the workplace and developing it as a core competence. A conscious approach to business relationships, planning, and delivery can enable individuals and organizations to truly think about what they are doing, make changes where needed, and become more effective. It is a particularly effective way of managing the multiple and occasionally conflicting stakeholder objectives inherent in any collaborative project. The author draws on his experience in the aid sector and with non-profit organizations to describe the building blocks that underpin successful collaboration, and inspires us to re-think the way we work together, for good.
This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms. This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises). Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question. Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.
Presents a guide to the 3D design tool which uses three representative models to demonstrate such techniques as object manipulation, texture mapping, lighting, rendering, sculpting, and compositing.
VHDL Answers to Frequently asked Questions is a follow-up to the author's book VHDL Coding Styles and Methodologies (ISBN 0-7923-9598-0). On completion of his first book, the author continued teaching VHDL and actively participated in the comp. lang. vhdl newsgroup. During his experiences, he was enlightened by the many interesting issues and questions relating to VHDL and synthesis. These pertained to: misinterpretations in the use of the language; methods for writing error free, and simulation efficient, code for testbench designs and for synthesis; and general principles and guidelines for design verification. As a result of this wealth of public knowledge contributed by a large VHDL community, the author decided to act as a facilitator of this information by collecting different classes of VHDL issues, and by elaborating on these topics through complete simulatable examples. This book is intended for those who are seeking an enhanced proficiency in VHDL. Its target audience includes: 1. Engineers. The book addresses a set of problems commonly experienced by real users of VHDL. It provides practical explanations to the questions, and suggests practical solutions to the raised issues. It also includes packages to achieve common utilities, useful in the generation of debug code aDd testbench designs. These packages include conversions to strings (the IMAGE package), generation of Linear Feedback Shift Registers (LFSR), Multiple Input Shift Register (MISR), and random number generators.
Welding handicraft is one of the most primordial and traditional technics, mainly by manpower and human experiences. Weld quality and ef?ciency are, therefore, straitly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. However, it is dif?cult for au- matic and robotic welding to reach high quality due to the complexity, uncertainty and disturbance during welding process, especially for arc welding dynamics. The information acquirement and real-time control of arc weld pool dynamical process during automatic or robotic welding always are perplexing problems to both te- nologist in weld ?eld and scientists in automation. This book presents some application researches on intelligentized methodology in arc welding process, such as machine vision, image processing, fuzzy logical, neural networks, rough set, intelligent control and other arti?cial intelligence me- ods for sensing, modeling and intelligent control of arc welding dynamical process. The studies in the book indicate that the designed vision sensing and control s- tems are able to partially emulate a skilled welder’s intelligent behaviors: observing, estimating, decision-making and operating, and show a great potential and prom- ing prospect of arti?cial intelligent technologies in the welding manufacturing.
The practical and conceptual knowledge you need to attain CCNP Enterprise certification From one of the most trusted study guide publishers comes CCNP Enterprise Certification Study Guide: Exam 350-401. This guide helps you develop practical knowledge and best practices for critical aspects of enterprise infrastructure so you can gain your CCNP Enterprise certification. If you’re hoping to attain a broader range of skills and a solid understanding of Cisco technology, this guide will also provide fundamental concepts for learning how to implement and operate Cisco enterprise network core technologies. By focusing on real-world skills, each chapter prepares you with the knowledge you need to excel in your current role and beyond. It covers emerging and industry-specific topics, such as SD-WAN, network design, wireless, and automation. This practical guide also includes lessons on: ● Automation ● Network assurance ● Security ● Enterprise infrastructure ● Dual-stack architecture ● Virtualization In addition to helping you gain enterprise knowledge, this study guidecan lead you toward your Cisco specialist certification. When you purchase this guide, you get access to the information you need to prepare yourself for advances in technology and new applications, as well as online study tools such as: ● Bonus practice exams ● Pre-made flashcards ● Glossary of key terms ● Specific focus areas Expand your skillset and take your career to the next level with CCNP Enterprise Certification Study Guide.
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.
This title forms part of the completely new Mathematics for the IB Diploma series. This highly illustrated book covers topic 10 of the IB Diploma Higher Level Mathematics syllabus, the optional topic Discrete Mathematics. It is also for use with the further mathematics course. Based on the new group 5 aims, the progressive approach encourages cumulative learning. Features include: a dedicated chapter exclusively for mixed examination practice; plenty of worked examples; questions colour-coded according to grade; exam-style questions; feature boxes throughout of exam hints and tips.
Distinguish yourself by becoming a certified AWS Cloud Practitioner In the newly revised second edition of AWS Certified Cloud Practitioner Study Guide: Foundational (CLF-C02) Exam, a team of veteran IT professionals and educators delivers an up-to-date and easy-to-follow introduction to Amazon’s industry-leading cloud technology and the introductory certification exam that demonstrates your understanding of it. Used by thousands of companies across the globe, Amazon Web Services (AWS) is an integral part of business IT operations at firms in virtually every industry and sector. In this book, you’ll prepare to pass the recently updated AWS Certification Exam and prove your knowledge of critical AWS cloud technologies and capabilities. You’ll find complete and thorough coverage of every topic included on the exam, from infrastructure to architecture and cybersecurity. You’ll also discover comprehensive discussions of the AWS Cloud value proposition, as well as billing, account management, and pricing models. After reading and completing the practice questions provided by this book, you’ll be able to: Distinguish yourself as an AWS expert by obtaining a highly sought-after certification in a popular cloud platform Hone your skills and gain new insights on AWS Cloud you can use in your own profession, whether you work in a technical, managerial, sales, purchasing, or financial role Fully prepare for and succeed on the new exam using expert content based on real-world knowledge, key exam essentials, and chapter review questions Access the Sybex online interactive learning environment and test bank, including hundreds of practice questions, a key term glossary, and electronic flashcards The AWS Certified AWS Certified Cloud Practitioner Study Guide is an essential resource for any IT professional that works directly with Amazon Web Services, as well as students in IT fields, and non-technical professionals who work with and alongside technical experts.
As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach. Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. You’ll also get real-world examples that demonstrate how you can apply these concepts to your use cases. Understand the challenges of securing distributed systems, particularly Hadoop Use best practices for preparing Hadoop cluster hardware as securely as possible Get an overview of the Kerberos network authentication protocol Delve into authorization and accounting principles as they apply to Hadoop Learn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at rest Integrate Hadoop data ingest into enterprise-wide security architecture Ensure that security architecture reaches all the way to end-user access
Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Cloud Practitioner Study Guide to give you the same experience working in these labs as you prepare for the Certified Cloud Practitioner Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Cloud Practitioner. The AWS Certified Cloud Practitioner Study Guide: Exam CLF-C01 provides a solid introduction to this industry-leading technology, relied upon by thousands of businesses across the globe, as well as the resources you need to prove your knowledge in the AWS Certification Exam. This guide offers complete and thorough treatment of all topics included in the exam, beginning with a discussion of what the AWS cloud is and its basic global infrastructure and architectural principles. Other chapters dive into the technical, exploring core characteristics of deploying and operating in the AWS Cloud Platform, as well as basic security and compliance aspects and the shared security model. In addition, the text identifies sources of documentation or technical assistance, such as white papers or support tickets. To complete their coverage, the authors discuss the AWS Cloud value proposition and define billing, account management, and pricing models. This includes describing the key services AWS can provide and their common use cases (e.g., compute, analytics, etc.). Distinguish yourself as an expert by obtaining a highly desirable certification in a widely used platform Hone your skills and gain new insights on AWS whether you work in a technical, managerial, sales, purchasing, or financial field Fully prepare for this new exam using expert content and real-world knowledge, key exam essentials, chapter review questions, and other textual resources Benefit from access to the Sybex online interactive learning environment and test bank, including chapter tests, practice exams, key term glossary, and electronic flashcards XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months unlimited access to XtremeLabs AWS Certified Cloud Practitioner Labs with 8 unique lab modules based on the book. The AWS Certified Cloud Practitioner Study Guide is essential reading for any professional in IT or other fields that work directly with AWS, soon-to-be graduates studying in those areas, or anyone hoping to prove themselves as an AWS Certified Cloud Practitioner.
Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook Description Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production. What you will learnImplement data preprocessing steps and optimize model hyperparametersDelve into representational learning with adversarial autoencodersUse active learning, recommenders, knowledge embedding, and SAT solversGet to grips with probabilistic modeling with TensorFlow probabilityRun object detection, text-to-speech conversion, and text and music generationApply swarm algorithms, multi-agent systems, and graph networksGo from proof of concept to production by deploying models as microservicesUnderstand how to use modern AI in practiceWho this book is for This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You’ll also find this book useful if you’re looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.
In this newly updated, ninth edition of the best-selling photography book—in print since 1999—Ben Long guides you through the creative and challenging world of digital photography. Complete Digital Photography 9 has everything you need to know to create great photos: from how to master your camera, to learning about composition, lighting, image editing, workflow and output. Ben also includes a number of shooting exercises in the front part of the book to help you get comfortable with photographic techniques, and there are extensive step-by-step tutorials designed to help you master image editing in Adobe Lightroom, Photoshop and other apps. With Ben’s easy-going, comprehensive teaching style, you’ll be amazed at the results you get from Complete Digital Photography.
Burt studies the effects of the 19th century labour trade, colonial subjugation and the subsequent Christian conversion. He examines the anti-colonial Maasina Rule movement of the 1940s and finally illustrates the subsequent efforts of Kwara'ae leaders to regain their self-determination and to reaffirm the values of "tradition" under Christianity. The Kwara'ae example of colonialism and Christianity is part of the broader experience of Melanesia and of other peoples in the Third World who once lived a tribal life. The detailed local focus, based on a year of fieldwork, provides valuable evidence essential to a wider comparative analysis of colonial history and the continuing development of indigenous Christianity from an anthropological and a historical perspective. Tradition and Christianity explores how and why a Pacific Islands people, fiercely attached to the tradition of their ancestors, have transformed their society by changing their religion.
Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You’ll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You’ll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author’s extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer. Table of Contents PART 1 AN INTRODUCTION TO MACHINE LEARNING ENGINEERING 1 What is a machine learning engineer? 2 Your data science could use some engineering 3 Before you model: Planning and scoping a project 4 Before you model: Communication and logistics of projects 5 Experimentation in action: Planning and researching an ML project 6 Experimentation in action: Testing and evaluating a project 7 Experimentation in action: Moving from prototype to MVP 8 Experimentation in action: Finalizing an MVP with MLflow and runtime optimization PART 2 PREPARING FOR PRODUCTION: CREATING MAINTAINABLE ML 9 Modularity for ML: Writing testable and legible code 10 Standards of coding and creating maintainable ML code 11 Model measurement and why it’s so important 12 Holding on to your gains by watching for drift 13 ML development hubris PART 3 DEVELOPING PRODUCTION MACHINE LEARNING CODE 14 Writing production code 15 Quality and acceptance testing 16 Production infrastructure
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.
The Fritz Haber Symposium on Methods of Laser Spectroscopy was held in Ein Bokek, Israel, on the shores of the Dead Sea, on December 16-20, 1985. The location is the lowest place on earth, 392 meters below sea level. It was hoped that 120 active laser scientists, so lowly trapped in such a place, with the nearest entertainment 100 km away, will have no choice but to discuss laser spectroscopy. On the average, the Dead Sea area receives 3-4 days of rain each year, and this year these days all occurred during the conference. This did not mean the cancellation of the hikes, although the trip to Massada was conducted in the rain. The unexpected rains also caused flash floods in the area, and Ein Bokek was completely cut-off on Thursday night. The archeologist scheduled to speak after dinner, and the belly dancer scheduled to appear afterwards, (~ould not arrive, resulting in the only serious deviation from the original plan. The scientific program consisted of invited talks and contributed posters. The emphasis in selection of invited speakers and topics was on the methods rather than specific molecular systems, and an attempt was made to allow ample time for discussion after each lecture. The same philosophy guided us in editing this book, and authors were requested to write manuscripts longer than usual for standard conference proceedings.
Take a walk in the woods to find yourself. This book is intended as an easy approach to forest bathing, a concept that is now making its way into health and wellness practices. Part spiritual guide and part practitioner’s handbook, this accessible, practical, positivity-rich book is designed to be taken on every walk to encourage mindfulness, contentedness, and presence in the moment. Written in a beautiful, encouraging style by a highly qualified and mediagenic author, the book also contains amazing hand-drawn illustrations of forest scenes.
VHDL Coding Styles and Methodologies, Edition is a follow up book to the first edition of same book and to VHDL Answers to Frequently Asked Questions, first and second editions. This book was originally written as a teaching tool for a VHDL training course. The author began writing the book because he could not find a practical and easy to read book that gave in depth coverage of both, the language and coding methodologies. This edition provides practical information on reusable software methodologies for the design of bus functional models for testbenches. It also provides guidelines in the use of VHDL for synthesis. All VHDL code described in the book is on a companion CD. The CD also includes the GNU toolsuite with EMACS language sensitive editor (with VHDL, Verilog, and other language templates), and TSHELL tools that emulate a Unix shell. Model Technology graciously included a timed evaluation version of ModelSim, a recognized industry standard VHDL/Verilog compiler and simulator that supports easy viewing of the models under analysis, along with many debug features. In addition, Synplicity included a timed version of Synplify, a very efficient, user friendly and easy to use FPGA synthesis tool. Synplify provides a user both the RTL and gate level views of the synthesized model, and a performance report of the design. Optimization mechanisms are provided in the tool.
A House and its Atmosphere is a meditative essay about the experience of designing and building a house of one¿s own. Told in seventy black and white photographs and a series of narrative excursions, architect Ben Jacks reflects on a lifetime of influences as he reveals the personal nature of inhabiting a place at the edge of a tidal cove on an island in Maine. In the book he quietly advocates for the simple logic and modest ease of direct experience and an observational perspective in architecture. In chapters about imagining, walking, and designing Ben Jacks reflects on the essence of architectural experience, describing what it is like to begin to make momentous decisions, arguing that aesthetic experience is the result of how one has learned to see. Memory, family, nature, relationships, and work inform design at every step. A House and its Atmosphere is a grounded story about designing and building a small work of architecture. With students of architecture and amateur builders in mind, Ben Jacks makes a case for design informed by theories of place-identification, detail, and craft. The book is a primary source and a chronicle of experience of radical empiricism. As such it offers a kind of conceptual tool kit for those interested in thinking about the processes of architecture, designing, and placemaking. The book is a fresh and valuable contribution to the shelter memoir genre, from a professional architect¿s perspective.
An intuitive and insightful overview of the technical and business aspects of the telecoms industry In The Technology and Business of Mobile Telecommunications: An Introduction, a team of expert telecommunications researchers and consultants delivers a rigorous exploration of the technical and business aspects of mobile telecommunications. The book offers a complete overview of an industry that has seen rapid technical and economic changes while retaining the ability to provide end users with communications coverage and capacity. The authors demonstrate the technical foundations of the mobile industry and show how a communications network is deployed. They detail many of the main innovations introduced over the last few years and some of the most salient challenges facing the industry today. The business models of major mobile operators are examined as well, from the purchasing spectrum to network deployment and customer attraction and retention. The role of the regulator is also thoroughly discussed, with explorations of its role in encouraging the maintenance of a competitive market in which the needs of consumers are met. Readers will also enjoy: Thorough introductions to the social and economic impacts of mobile communications, as well as a brief history of mobile and cellular communications Comprehensive explorations of the mobile telecoms ecosystem, from spectrum regulation to standardization, research, end users, operators, vendors, and standard bodies Practical discussions of the business models and challenges of mobile operators, including mobile virtual network operators and the implementation of international roaming In-depth examinations of telecommunications standards, including 5G Perfect for anyone studying mobile telecommunications technology at the undergraduate and graduate levels, The Technology and Business of Mobile Telecommunications: An Introduction is also an indispensable resource for practitioners within the telecommunications industry in a technical or business-oriented role.
The phenomenon of shock wave reflection was first reported by the distinguished philosopher Ernst Mach in 1878. Its study was then abandoned for a period of about 60 years until its investigation was initiated in the early 1940s by Professor John von Neumann and Professor Bleakney. Under their supervision, 15 years of intensive research related to various aspects of the reflection of shock waves in pseudo-steady flows were carried out. It was during this period that the four basic shock wave reflection configurations were discovered. Then, for a period of about 10 years from the mid 1950s until the mid 1960s, investigation of the reflection phenomenon of shock waves was kept on a low flame all over the world (e. g. Australia, Japan, Canada, U. S. A. , U. S. S. R. , etc. ) until Professor Bazhenova from the U. S. S. R. , Professor Irvine Glass from Canada, and Professor Roy Henderson from Australia re initiated the study of this and related phenomena. Under their scientific supervision and leadership, numerous findings related to this phenomenon were reported. Probably the most productive research group in the mid 1970s was that led by Professor Irvine Glass in the Institute of Aerospace Studies of the University of Toronto. In 1978, exactly 100 years after Ernst Mach first reported his discovery of the reflection phenomenon, I published my Ph. D. thesis in which, for the first time, analytical transition criteria between the various shock wave reflection configurations were established.
When a former NYPD colleague is shot dead in front of him, private investigator Marshall Grade discovers there’s far more to the killing than meets the eye. Ray Vialoux is in trouble. Big trouble. And he needs Marshall Grade’s help. Reluctantly, Grade agrees to meet. Over dinner in a Brooklyn restaurant, he learns that his former NYPD colleague owes money – a lot of money – to the wrong people. But the conversation is cut short by gunfire, and suddenly Ray is lying dead on the restaurant floor. As Marshall investigates the circumstances leading up to the murder, tracking down the drug dealers, bag men, bent cops and mob players within Ray’s orbit, it becomes clear there’s far more to the killing than a gambling debt. Just who is responsible for Vialoux’s death . . . and why? What secrets are his family hiding? And can Marshall find the answers before his own history marks him as the prime suspect?
It is well documented that the Qumran community followed a solar calendar which differed fundamentally from the lunar calendar observed at the Temple in Jerusalem. This volume contains Qumran texts which delineated the community's calendar. Some of the texts were written in a unique script known as "Cryptic A", indicating their secret nature.
Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied.
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