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Graphics Concepts for Computer-Aided Design
by Richard M LueptowFor Freshman or Introductory courses in Engineering and Computer Science. Engineering has always required graphics to communicate ideas. However, the transition from hand drawings to computer-aided design has resulted in many important concepts being left out of the standard engineering curriculum. This book is a compact resource that connects traditional engineering graphics with computer-aided design.
Graphics for Learning
by Clark Ruth C. Chopeta LyonsThis second edition of the bestselling book summarizes guidelines for best use of graphics for instructional materials, including multimedia, texts, classroom aids, and slides used for briefings. These guidelines are based on updated scientific research and contain illustrative examples including examples for readers without a background in psychology. The authors help trainers tie graphics into their lesson topics and include facts, concepts, processes, procedures, and principles. The book discusses technical and environmental issues (such as bandwidth or screen size) that will influence how instructional professionals can apply the guidelines.
Graphics Interface 2014
by Paul G. Kry; Andrea BuntThis book is the proceedings of the 40th annual Graphics Interface conference-the oldest continuously scheduled conference in the field. The book includes high-quality papers on recent advances in interactive systems, human computer interaction, and graphics from around the world. It covers the following topics: shading and rendering, geometric modeling and meshing, image-based rendering, image synthesis and realism, computer animation, real-time rendering, non-photorealistic rendering, interaction techniques, human interface devices, augmented reality, data and information visualization, mobile computing, haptic and tangible interfaces, and perception.
Graphics Recognition. Current Trends and Challenges
by Bart Lamiroy Jean-Marc OgierThis book constitutes the thoroughly refereed post-conference proceedings of the 10th International Workshop on Graphics Recognition, GREC 2013, held in Bethlehem, PA, USA, in August 2013. The 20 revised full papers presented were carefully reviewed and selected from 32 initial submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 topical sessions on symbol spotting and retrieval, graphics recognition in context, structural and perceptual based approaches, low level processing, and performance evaluation and ground truthing.
Graphics Recognition. Current Trends and Evolutions: 12th IAPR International Workshop, GREC 2017, Kyoto, Japan, November 9-10, 2017, Revised Selected Papers (Lecture Notes in Computer Science #11009)
by Alicia Fornés Bart LamiroyThis book constitutes the thoroughly refereed post-conference proceedings of the 12th International Workshop on Graphics Recognition, GREC 2017, held in Kyoto, Japan, in November 2017. The 10 revised full papers presented were carefully reviewed and selected from 14 initial submissions. They contain both classical and emerging topics of graphics rcognition, namely analysis and detection of diagrams, search and classification, optical music recognition, interpretation of engineering drawings and maps.
Graphics Shaders: Theory and Practice, Second Edition
by Steve Cunningham Mike BaileyThis book uses examples in OpenGL and OpenGL Shading Language to present the theory and application of shader programming. It explains how to program graphics shaders effectively for use in art, animation, gaming, and visualization. Along with improved graphics and new examples and exercises, this edition includes a new chapter on converting a fixed-function OpenGL program to a shader-based OpenGL program. It also explains how best to use tessellation shaders, illustrates the importance of the invariant qualifier for multipass rendering, and presents new applications, including terrain bump-mapping and LIDAR data.
Graphing Calculator Manual
by Kathleen Mclaughlin Dorothy Wakefield Mario F. TriolaThis manual is organized to follow the sequence of topics in the textbook, and it is an easy-to-follow, step-by-step guide on how to use the TI-83/84 Plus graphing calculator. It provides worked-out examples to help students fully understand and use the graphing calculator.
Graphing Data with R: An Introduction
by John Jay HilfigerIt’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.Anyone who wants to analyze data will find something useful here—even if you don’t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.Get started with R by learning basic commandsBuild single variable graphs, such as dot and pie charts, box plots, and histogramsExplore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniquesUse scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables
Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition: 21st International Conference of the International Graphonomics Society, IGS 2023, Évora, Portugal, October 16–19, 2023, Proceedings (Lecture Notes in Computer Science #14285)
by Antonio Parziale Moises Diaz Filipe MeloThis book constitutes the refereed proceedings of the 21st International Conference of the International Graphonomics Society on Graphonomics in Human Body Movement, IGS 2023, held in Évora, Portugal, during October 16–19, 2023.The 12 full papers presented in this book together with one short paper and two invited papers were carefully reviewed and selected from 23 submissions. The conference centers around graphonomics research aimed at comprehending the processes of handwriting acquisition and execution. Moreover, it delves deeper into the impact of the writer's neural, psychological, and biomechanical conditions on the various aspects of handwriting
GraphQL in Action
by Samer BunaGraphQL in Action gives you the tools to get comfortable with the GraphQL language, build and optimize a data API service, and use it in a front-end client application.Summary Reduce bandwidth demands on your APIs by getting only the results you need—all in a single request! The GraphQL query language simplifies interactions with web servers, enabling smarter API queries that can hugely improve the efficiency of data requests. In GraphQL in Action, you'll learn how to bring those benefits to your own APIs, giving your clients the power to ask for exactly what they need from your server, no more, no less. Practical and example-driven, this book teaches everything you need to get started with GraphQL—from design principles and syntax right through to performance optimization. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology GraphQL APIs are fast, efficient, and easy to maintain. They reduce app latency and server cost while boosting developer productivity. This powerful query layer offers precise control over API requests and returns, making apps faster and less prone to error. About the book GraphQL in Action gives you the tools to get comfortable with the GraphQL language, build and optimize a data API service, and use it in a front-end client application. By working through set up, security, and error handling you'll learn to create a complete GraphQL server. You'll also unlock easy ways to incorporate GraphQL into your existing codebase so you can build simple, scalable data APIs. What's inside Define a GraphQL schema for relational and document databases Implement GraphQL types using both the schema language and object constructor methods Optimize GraphQL resolvers with data caching and batching Design GraphQL fragments that match UI components' data requirements Consume GraphQL API queries, mutations, and subscriptions with and without a GraphQL client library About the reader For web developers familiar with client-server applications. About the author Samer Buna has over 20 years of experience in software development including front-ends, back-ends, API design, and scalability. Table of Contents PART 1- EXPLORING GRAPHQL 1 Introduction to GraphQL 2 Exploring GraphQL APIs 3 Customizing and organizing GraphQL operations PART 2 - BUILDING GRAPHQL APIs 4 Designing a GraphQL schema 5 Implementing schema resolvers 6 Working with database models and relations 7 Optimizing data fetching 8 Implementing mutations PART 3 - USING GRAPHQL APIs 9 Using GraphQL APIs without a client library 10 Using GraphQL APIs with Apollo client
Graphs, Algorithms, and Optimization (Discrete Mathematics and Its Applications)
by William Kocay Donald L. Kreher<p>Graph theory offers a rich source of problems and techniques for programming and data structure development, as well as for understanding computing theory, including NP-Completeness and polynomial reduction. A comprehensive text, Graphs, Algorithms, and Optimization features clear exposition on modern algorithmic graph theory presented in a rigorous yet approachable way. The book covers major areas of graph theory including discrete optimization and its connection to graph algorithms. The authors explore surface topology from an intuitive point of view and include detailed discussions on linear programming that emphasize graph theory problems useful in mathematics and computer science. Many algorithms are provided along with the data structure needed to program the algorithms efficiently. <p>The book also provides coverage on algorithm complexity and efficiency, NP-completeness, linear optimization, and linear programming and its relationship to graph algorithms.Written in an accessible and informal style, this work covers nearly all areas of graph theory. Graphs, Algorithms, and Optimization provides a modern discussion of graph theory applicable to mathematics, computer science, and crossover applications.</p>
Graphs, Algorithms, and Optimization (Discrete Mathematics and Its Applications)
by William Kocay Donald L. KreherThe second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory in a rigorous, but informal style and cover most of the main areas of graph theory. The ideas of surface topology are presented from an intuitive point of view. We have also included a discussion on linear programming that emphasizes problems in graph theory. The text is suitable for students in computer science or mathematics programs.
Graphs and Combinatorial Optimization: CTW 2023, Garmisch-Partenkirchen, Germany, June 20–22 (AIRO Springer Series #13)
by Andreas Brieden Stefan Pickl Markus SiegleThis book contains the proceedings of the 19th Cologne-Twente Workshop on Graphs and Combinatorial Optimization, held during June 20-22, 2023, in Garmisch-Partenkirchen, Germany. This successful series of international workshops is known to attract high-quality research on the theory and application of discrete algorithms, graphs, and combinatorial optimization in a wide sense. The papers collected in this book represent cutting-edge research by leading researchers and attract a broad readership in academia worldwide. The book is addressed to researchers and advanced students, but also to professionals in industry concerned with algorithm design and optimization problems in different areas of application.
Graphs & Digraphs (Textbooks in Mathematics)
by Gary Chartrand Heather Jordon Vincent Vatter Ping ZhangGraphs & Digraphs, Seventh Edition masterfully employs student-friendly exposition, clear proofs, abundant examples, and numerous exercises to provide an essential understanding of the concepts, theorems, history, and applications of graph theory. This classic text, widely popular among students and instructors alike for decades, is thoroughly streamlined in this new, seventh edition, to present a text consistent with contemporary expectations. Changes and updates to this edition include: • A rewrite of four chapters from the ground up. • Streamlining by over a third for efficient, comprehensive coverage of graph theory. • Flexible structure with foundational Chapters 1–6 and customizable topics in Chapters 7–11. • Incorporation of the latest developments in fundamental graph theory. • Statements of recent groundbreaking discoveries, even if proofs are beyond scope. • Completely reorganized chapters on traversability, connectivity, coloring, and extremal graph theory to reflect recent developments. The text remains the consummate choice for an advanced undergraduate level or introductory graduate-level course exploring the subject’s fascinating history, while covering a host of interesting problems and diverse applications. Our major objective is to introduce and treat graph theory as the beautiful area of mathematics we have always found it to be. We have striven to produce a reader-friendly, carefully written book that emphasizes the mathematical theory of graphs, in all their forms. While a certain amount of mathematical maturity, including a solid understanding of proof, is required to appreciate the material, with a small number of exceptions this is the only pre-requisite. In addition, owing to the exhilarating pace of progress in the field, there have been countless developments in fundamental graph theory ever since the previous edition, and many of these discoveries have been incorporated into the book. Of course, some of the proofs of these results are beyond the scope of the book, in which cases we have only included their statements. In other cases, however, these new results have led us to completely reorganize our presentation. Two examples are the chapters on coloring and extremal graph theory.
Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology: 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings (Lecture Notes in Computer Science #14373)
by Seyed-Ahmad Ahmadi Sérgio PereiraThis LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT 2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions. The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings (Lecture Notes in Computer Science #10551)
by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman and Stefan SommerThis book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
Graphs, Networks and Algorithms
by Dieter JungnickelFrom the reviews of the previous editions ".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting mathematical results and practical applications. ... the author pays much attention to the inclusion of well-chosen exercises. The reader does not remain helpless; solutions or at least hints are given in the appendix. Except for some small basic mathematical and algorithmic knowledge the book is self-contained. ..." K.Engel, Mathematical Reviews 2002 The substantial development effort of this text, involving multiple editions and trailing in the context of various workshops, university courses and seminar series, clearly shows through in this new edition with its clear writing, good organisation, comprehensive coverage of essential theory, and well-chosen applications. The proofs of important results and the representation of key algorithms in a Pascal-like notation allow this book to be used in a high-level undergraduate or low-level graduate course on graph theory, combinatorial optimization or computer science algorithms. The well-worked solutions to exercises are a real bonus for self study by students. The book is highly recommended. P .B. Gibbons, Zentralblatt für Mathematik 2005 Once again, the new edition has been thoroughly revised. In particular, some further material has been added: more on NP-completeness (especially on dominating sets), a section on the Gallai-Edmonds structure theory for matchings, and about a dozen additional exercises - as always, with solutions. Moreover, the section on the 1-factor theorem has been completely rewritten: it now presents a short direct proof for the more general Berge-Tutte formula. Several recent research developments are discussed and quite a few references have been added.
Grasp: The Science Transforming How We Learn
by Sanjay Sarma Luke Yoquinto'Sarma's book may be the most important work on education written this century' - SkepticAs the head of Open Learning at MIT, Sanjay Sarma has a daunting job description: to fling open the doors of the MIT experience for the benefit of the wider world. But if you're going to undertake such an ambitious project, you must first ask: How exactly does learning work? What conditions are most conducive? Are our traditional classroom methods - lecture, homework, test, repeat - actually effective? And if not, which techniques are?Grasp takes readers across multiple frontiers, from fundamental neuroscience to cognitive psychology and beyond, as it explores the future of learning. For instance:· Scientists are studying the role of forgetting, exposing it not as a simple failure of memory but a critical weapon in our learning arsenal· New developments in neuroimaging are helping us understand how reading works in the brain. It's become possible to identify children who might benefit from specialised dyslexia interventions - before they learn to read· Many schools have begun converting to flipped classrooms, in which you watch a lesson at home, then do your 'homework' in classAlong the way, Sarma debunks long-held views such as the noxious idea of 'learning styles,' while equipping readers with a set of practical tools for absorbing and retaining information across a lifetime of learning. He presents a vision for learning that's more inclusive and democratic - revealing a world bursting with powerful learners, just waiting for the chance they deserve.Drawing from the author's experience as an educator and the work of researchers and educational innovators at MIT and beyond, Grasp offers scientific and practical insight, promising not just to inform and entertain readers but to open their minds.
Grasp: The Science Transforming How We Learn
by Sanjay Sarma Luke Yoquinto'Sarma's book may be the most important work on education written this century' - SkepticAs the head of Open Learning at MIT, Sanjay Sarma has a daunting job description: to fling open the doors of the MIT experience for the benefit of the wider world. But if you're going to undertake such an ambitious project, you must first ask: How exactly does learning work? What conditions are most conducive? Are our traditional classroom methods - lecture, homework, test, repeat - actually effective? And if not, which techniques are?Grasp takes readers across multiple frontiers, from fundamental neuroscience to cognitive psychology and beyond, as it explores the future of learning. For instance:· Scientists are studying the role of forgetting, exposing it not as a simple failure of memory but a critical weapon in our learning arsenal· New developments in neuroimaging are helping us understand how reading works in the brain. It's become possible to identify children who might benefit from specialised dyslexia interventions - before they learn to read· Many schools have begun converting to flipped classrooms, in which you watch a lesson at home, then do your 'homework' in classAlong the way, Sarma debunks long-held views such as the noxious idea of 'learning styles,' while equipping readers with a set of practical tools for absorbing and retaining information across a lifetime of learning. He presents a vision for learning that's more inclusive and democratic - revealing a world bursting with powerful learners, just waiting for the chance they deserve.Drawing from the author's experience as an educator and the work of researchers and educational innovators at MIT and beyond, Grasp offers scientific and practical insight, promising not just to inform and entertain readers but to open their minds.
Grasp Interaction with Tablets
by Katrin WolfThis book presents guidelines for a future device type: a tablet that allows ergonomic front- and back-of-device interaction. These guidelines help designers and developers of user interfaces to build ergonomic applications for tablet devices, in particular for devices that enable back-of-device interaction. In addition, manufacturers of tablet devices obtain arguments that back-of-device interaction is a promising extension of the interaction design space and results in increased input capabilities, enriched design possibilities, and proven usability. The guidelines are derived from empirical studies and developed to fit the users' skills to the way the novel device type is held. Three particular research areas that are relevant to develop design guidelines for tablet interaction are investigated: ergonomic gestures, interaction areas, and pointing techniques.
Grasping in Robotics
by Giuseppe CarboneGrasping in Robotics contains original contributions in the field of grasping in robotics with a broad multidisciplinary approach. This gives the possibility of addressing all the major issues related to robotized grasping, including milestones in grasping through the centuries, mechanical design issues, control issues, modelling achievements and issues, formulations and software for simulation purposes, sensors and vision integration, applications in industrial field and non-conventional applications (including service robotics and agriculture). The contributors to this book are experts in their own diverse and wide ranging fields. This multidisciplinary approach can help make Grasping in Robotics of interest to a very wide audience. In particular, it can be a useful reference book for researchers, students and users in the wide field of grasping in robotics from many different disciplines including mechanical design, hardware design, control design, user interfaces, modelling, simulation, sensors and humanoid robotics. It could even be adopted as a reference textbook in specific PhD courses.
Gray Day: My Undercover Mission to Expose America's First Cyber Spy
by Eric O'NeillA cybersecurity expert and former FBI "ghost" tells the thrilling story of how he helped take down notorious FBI mole Robert Hanssen, the first Russian cyber spy.Eric O'Neill was only twenty-six when he was tapped for the case of a lifetime: a one-on-one undercover investigation of the FBI's top target, a man suspected of spying for the Russians for nearly two decades, giving up nuclear secrets, compromising intelligence, and betraying US assets. With zero training in face-to-face investigation, Eric found himself in a windowless, high-security office in the newly formed Information Assurance Section, tasked officially with helping the FBI secure its outdated computer system against hackers and spies--and unofficially with collecting evidence against his new boss, Robert Hanssen, an exacting and rage-prone veteran agent with a disturbing fondness for handguns. In the months that follow, Eric's self-esteem and young marriage unravel under the pressure of life in Room 9930, and he questions the very purpose of his mission. But as Hanssen outmaneuvers an intelligence community struggling to keep up with the new reality of cybersecurity, he also teaches Eric the game of spycraft. Eric will just have to learn to outplay his teacher if he wants to win. A tension-packed stew of power, paranoia, and psychological manipulation, Gray Day is also a cautionary tale of how the United States allowed Russia to become dominant in cyberespionage--and how we might begin to catch up.
Gray Hat C#: Creating and Automating Security Tools
by Brandon PerryLearn to use C#'s powerful set of core libraries to automate tedious yet important tasks like performing vulnerability scans, malware analysis, and incident response. With some help from Mono, you can write your own practical security tools that will run on Mac, Linux, and even mobile devices.Following a crash course in C# and some of its advanced features, you’ll learn how to:-Write fuzzers that use the HTTP and XML libraries to scan for SQL and XSS injection-Generate shellcode in Metasploit to create cross-platform and cross-architecture payloads-Automate Nessus, OpenVAS, and sqlmap to scan for vulnerabilities and exploit SQL injections-Write a .NET decompiler for Mac and Linux-Parse and read offline registry hives to dump system information-Automate the security tools Arachni and Metasploit using their MSGPACK RPCsStreamline and simplify your work day with Gray Hat C# and C#’s extensive repertoire of powerful tools and libraries.
Gray Hat Hacking: The Ethical Hacker's Handbook (Third Edition)
by Allen Harper Shon Harris Jonathan Ness Chris Eagle Gideon Lenkey Terron WilliamsThis book provides a holistic review of ethical hacking. It is developed by and for security professionals who are dedicated to working in an ethical and responsible manner to improve the overall security posture of individuals, corporations, and nations.
Gray Hat Python: Python Programming for Hackers and Reverse Engineers
by Justin Seitz<P>Python is fast becoming the programming language of choice for hackers, reverse engineers, and software testers because it's easy to write quickly, and it has the low-level support and libraries that make hackers happy. But until now, there has been no real manual on how to use Python for a variety of hacking tasks. You had to dig through forum posts and man pages, endlessly tweaking your own code to get everything working. Not anymore.Gray Hat Python explains the concepts behind hacking tools and techniques like debuggers, trojans, fuzzers, and emulators. But author Justin Seitz goes beyond theory, showing you how to harness existing Python-based security tools—and how to build your own when the pre-built ones won't cut it. <P>You'll learn how to: <br>–Automate tedious reversing and security tasks–Design and program your own debugger <br>–Learn how to fuzz Windows drivers and create powerful fuzzers from scratch <br>–Have fun with code and library injection, soft and hard hooking techniques, and other software trickery <br>–Sniff secure traffic out of an encrypted web browser session <br>–Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more <P>The world's best hackers are using Python to do their handiwork. Shouldn't you?