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Arduino Networking. Connect your projects to the Web using the Arduino Ethernet library
Marco Schwartz
This book is intended for those who want to build their own network-connected projects using the Arduino platform. You will be able to build exciting projects that connect to your local network and the Web. You will need to have some basic experience in electronics and web programming languages. You will also need to know the basics of the Arduino platform as the projects mainly deal with the networking aspects of the Arduino Ethernet shield.
Martin Evans, Joshua Noble, Jordan Hochenbaum
Poznaj możliwości platformy Arduino! Arduino to niesamowita platforma, która otworzyła świat elektroniki przed wszystkimi. Dzięki niej możesz zbudować zaawansowany układ elektroniczny bez konieczności wykonywania czasochłonnych projektów i żmudnych obliczeń. Arduino błyskawicznie zyskało ogromną popularność, a w ślad za nią pojawiły się w sprzedaży liczne dodatkowe moduły. Pozwalają one zbudować dowolne urządzenie — ogranicza Cię tylko Twoja wyobraźnia! Ta wyjątkowa książka została w całości poświęcona platformie Arduino. Znajdziesz tu szczegółowe omówienie możliwości platformy, liczne przykłady oraz opisy. W trakcie lektury dowiesz się, jak przygotować środowisko pracy, oraz rozpoczniesz tworzenie prostych projektów, korzystających z cyfrowych portów wejścia-wyjścia. W kolejnych rozdziałach poznasz coraz bardziej zaawansowane możliwości Arduino. Wykorzystasz silniki prądu stałego i serwomechanizmy, zastosujesz czujniki ultradźwiękowe oraz wyświetlisz informacje na wyświetlaczu LCD. Ponadto przekonasz się, że można zintegrować Arduino z systemem iOS oraz innym oprogramowaniem. Książka ta jest doskonałą lekturą dla wszystkich pasjonatów elektroniki. Dzięki tej książce: poznasz tajniki platformy Arduino wykorzystasz czujniki oraz silniki skomunikujesz się z układem za pomocą sieci odkryjesz dla siebie potencjał drzemiący w tej platformie! Twoja przepustka do świata elektroniki!
Arduino Wearable Projects. Design, code, and build exciting wearable projects using Arduino tools
Tony Effe A Olsson
The demand for smart wearable technologies is becoming more popular day by day. The Arduino platform was developed keeping wearables, such as watches that track your location or shoes that count the miles you've run, in mind. It is basically an open-source physical computing platform based on a simple microcontroller board and a development environment in which you create the software for the board. If you're interested in designing and creating your own wearables, this is an excellent platform for you.This book provides you with the skills and understanding to create your own wearable projects. The book covers different prototyping boards which are compatible with the Arduino platform and are suitable for creating wearable projects. Each chapter of the book covers a project in which knowledge and skills are introduced gradually, making the book suitable for all kinds of readers.You begin your journey with understanding electronic components, including LEDs and sensors, to get yourself up to scratch and comfortable with different components. You will then gain hands-on experience by creating your very first wearable project, a pair of interactive bike gloves that help you cycle at night. This is followed by a project making your own funky LED glasses and a cool GPS watch. You'll also delve into other projects including creating your own keyless doorlock, wearable NFC tags, a fitness-tracking device, and a WiFi-enabled spark board. The final project is a compilation of the previous concepts used where you make your own smart watch with fitness tracking, internet-based notifications, GPS, and of course time telling.
Articulate Studio Cookbook. Go from Studio newbie to Studio guru
Robert Kennedy
More and more companies find they need to build their training courses internally. They are turning to tools like Articulate Studio because it is easy to use and doesn't have a steep learning curve. If you are familiar with Microsoft PowerPoint in any way, you should feel right at home with Articulate Studio.Articulate Studio Cookbook will get you ready to add Articulate Studio to your enterprise toolkit. This book gives you detailed yet simple steps to complete your training course. By following the clear steps in each chapter, you will gain an understanding of the software but also be able to complete specific tasks and common activities.The good thing about this book is that you can start anywhere and get the information that you need for a specific activity. Cross-references are provided if there is a skill located elsewhere that you need to complete a task.It can be frustrating to pick up a new piece of software and not know where to begin. With Articulate Studio, there is a whole suite of software to work with. You need to know how to work with Presenter, Engage, Quizmaker and Encoder to make great Articulate courses. Then, you'll need to know how to put them all together in a way that makes a professional looking, cohesive and smooth-flowing course. We'll make it easy to follow step by step until you have a professional course.Articulate Studio Cookbook will help you go from Studio newbie to Studio guru. Dive in and choose your recipe.
Artificial Intelligence and Expert Systems. Techniques and Applications for Problem Solving
Mercury Learning and Information, I. Gupta, G....
This book covers current AI applications and techniques for solving problems and accomplishing tasks. It introduces branches of AI such as formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic. It emphasizes expert systems, with sections on state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog.It begins with an introduction to AI and its applications, setting the stage for foundational concepts. Readers are guided through state space search and heuristic search strategies, crucial for problem-solving in AI. The focus shifts to expert systems, covering their development life cycle, knowledge acquisition, and representation, providing a deep dive into emulating human decision-making.Later chapters cover neural networks and the learning process, essential for creating adaptive systems. Sections on fuzzy logic and fuzzy systems introduce methods for handling uncertainty in AI. Final chapters on programming in logic and advanced Prolog offer practical techniques for AI solutions. This approach equips readers with the skills to apply AI in various domains, enhancing their problem-solving abilities and understanding of intelligent systems.
Zsolt Nagy
Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law.By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!
Artificial Intelligence Basics. A Self-Teaching Introduction
Mercury Learning and Information, N. Gupta, R....
This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.
Artificial Intelligence Basics. A Self-Teaching Introduction
Mercury Learning and Information, N. Gupta, R....
This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.
Artificial Intelligence Basics. A Self-Teaching Introduction
Mercury Learning and Information, N. Gupta, R....
This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.
Denis Rothman, Nicolas GUET, Jérémie ROTHMAN
Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Artificial Intelligence Engines. A Tutorial Introduction to the Mathematics of Deep Learning
James V Stone
This book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge.The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice.Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.
Artificial Intelligence. Ethical, social, and security impacts for the present and the future
IT Governance Publishing, Dr. Julie E. Mehan
This book offers an in-depth exploration of Artificial Intelligence (AI), from its origins to the ethical and societal challenges it presents today. It provides a comprehensive understanding of AI’s impact on human interaction, collaboration, privacy, and security. Through analyzing both opportunities and risks, the book emphasizes the ethical concerns surrounding AI, such as bias, privacy violations, and security threats.Chapters explore AI’s transformative role in cybersecurity, misinformation, and human-machine collaboration, highlighting its implications for job markets and human relationships. Real-world examples illustrate how AI can drive progress or cause harm. The ethical dilemmas around AI, including its use in surveillance and decision-making, are thoroughly examined, presenting challenges central to modern technology.Looking ahead, the book offers a forward-thinking perspective on AI’s future, discussing emerging trends and the need for responsible policy-making. It concludes by addressing how society can prepare for AI’s continued growth, offering strategies for navigating the evolving landscape. With practical insights and deep analysis, this book helps readers grasp AI’s profound implications for our future.
Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo...
In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis...
Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables.Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them.By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.*Email sign-up and proof of purchase required
Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis...
Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables.Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You’ll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that’ll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them.By the end of this book, you’ll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods.*Email sign-up and proof of purchase required
Francis X. Govers III
Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Francis X. Govers III
Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Francis X. Govers III, Dr. Kamesh Namuduri
Unlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots.Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.
Tomasz Rymarczyk
This monograph aims to synthesize methods, measurement architectures, and algorithms that advance approaches to electrical and ultrasonic tomography, with a particular focus on artificial intelligence in image reconstruction and decision support. The work places these techniques in modern, complex environmental, industrial, and medical diagnostic systems, where non-invasive measurements are required for reliable observation, control, and process optimization. The scope of this work encompasses forward and inverse problems, numerical modelling, and data-driven learning methods, and is based on practical prototypes and verified applications. Tomographic imaging is presented as a family of techniques that infer internal structure based on boundary or remote measurements, enabling inspection without physical intervention. The theoretical foundations are outlined along with historical context and standard formulations of inverse problems, which are ill-posed and sensitive to noise and modelling errors. Established numerical frameworks, such as the Finite Element Method, are used to regularize and solve forward and inverse problems for electric and acoustic fields. These pillars provide a coherent path from physics to computation, and ultimately to images interpreted in an operational context. Artificial intelligence methods were applied to improve reconstruction fidelity, noise immunity, and computational efficiency. The text discusses deterministic frameworks such as Tikhonov, Gauss-Newton, and Total Variation, followed by a discussion of machine learning and deep learning architectures such as LSTM and CNN, along with ResNet, DiffNet, and specifically developed differential models for tomographic signals. The proposed multi-branch and pixel-centric strategies were evaluated using quantitative metrics such as RMSE, SSIM, ICC, Pearson correlation, relative image error, MAE, MAPE, and related metrics that reflect both perceptual and task-specific quality. The combination of physics-based modeling and prior knowledge has been shown to reduce inference time and increase noise tolerance compared to classical iterative solvers. A significant portion of the monograph is devoted to the design and evolution of measurement devices. Electrical and hybrid tomographs, next-generation ultrasound tomographs, a beamforming platform, and specialized flaw detection solutions are designed and characterized. Portable and mobile configurations, along with body potential mapping, are used to extend tomographic detection capabilities to include outpatient and situational monitoring. The measurement layer is integrated with distributed acquisition, synchronization, and embedded processing, allowing the systems to operate within industrial and clinical constraints. Applications in process engineering and medicine are presented. Fermentation control, crystallization monitoring, and autonomous process supervision illustrate industrial utility, including connections to the Internet of Things and real-time data infrastructure. Medical research includes non-invasive lung monitoring, portable diagnostics, and ultrasound brain detection, as well as portable hybrid ultrasound impedance solutions for lower urinary tract assessment. Non-destructive testing is addressed using advanced ultrasound imaging on the DefectoVision platform, which describes 3D reconstruction and quantitative assessment. These cases demonstrate that tomographic sensing can reveal internal states, detect anomalies, and support inspection without disrupting production or compromising safety. The book is designed to guide the reader from fundamentals to implementations and verified use cases. Chapter 1 introduces tomographic imaging, the physical principles underlying electrical and ultrasound techniques, and the challenges of the inverse problem. Chapter 2 discusses reconstruction methods, from deterministic regularization to machine learning and deep learning, along with evaluation metrics. Chapter 3 documents the designed measurement devices along with their electronics, sensor geometry, and system characteristics. Chapter 4 develops reconstruction processes based on simulated and experimental datasets and discusses comparative performance, including hybrid and 3D approaches. Chapter 5 consolidates applications in industrial processes and medical diagnostics, presenting experimental setups, results, and discussions that link quantitative metrics to operational requirements. Chapter 6 concludes with a summary, conclusions, and perspectives for further development. This publication is aimed at researchers and PhD students in the fields of sensors, inverse problems, and computational imaging, as well as engineers and practitioners responsible for process control, non-destructive testing, and medical technology assessment. The material was developed autonomously, with theoretical assumptions, numerical methods, device descriptions, and application studies, so that knowledge can be transferred from laboratory prototypes to real systems. This work was developed thanks to the research community and collaboration at the Netrix S.A. Research and Development Centre and the Institute of Information Technology and Innovative Technologies at the WSEI University in Lublin. Appreciation is expressed to my colleagues who collaborated with me on research projects in the areas of device prototyping, data acquisition, and algorithm development, which translated concepts into working systems. We also extend our gratitude to the reviewers, whose insightful comments contributed to improved clarity and completeness, and to our family for their continued support. The presented projects were developed to demonstrate how intelligent tomographic measurement systems can be constructed and deployed as reliable imaging, monitoring, and control tools. This synthesis of physics-based modelling and learning-based reasoning will be useful to both academia and industry seeking to implement practical, large-scale tomography.
Artificial Intelligence in the 21st Century. The Future of Technology and Human Innovation
Mercury Learning and Information, Stephen Lucci, Sarhan...
This third edition provides a comprehensive, accessible presentation of AI, including examples, applications, full-color images, and human interest boxes. New chapters on deep learning, AI security, and AI programming keep the content cutting-edge. Topics like neural networks, genetic algorithms, natural language processing, planning, and complex board games are covered.The course starts with an AI overview, moving through uninformed search, intelligent search methods, and game-based strategies. It delves into logic in AI, knowledge representation, production systems, uncertainty in AI, and expert systems. Middle chapters cover machine learning, neural networks, and deep learning. It continues with nature-inspired search methods, natural language processing, and automated planning, ending with robotics and advanced computer games.These AI concepts are crucial for developing sophisticated AI applications. This book transitions you from novice to proficient AI practitioner, equipped with practical skills and comprehensive knowledge. Companion files with resources, simulations, and figures enhance learning. By the end, you'll understand AI principles and applications, ready to tackle real-world challenges.
Mercury Learning and Information, Oswald Campesato
This book introduces AI, then explores machine learning, deep learning, natural language processing (NLP), and reinforcement learning. Readers learn about classifiers like logistic regression, k-NN, decision trees, random forests, and SVMs. It delves into deep learning architectures such as CNNs, RNNs, LSTMs, and autoencoders, with Keras-based code samples supplementing the theory.Starting with a foundational AI overview, the course progresses into machine learning, explaining classifiers and their applications. It continues with deep learning, focusing on architectures like CNNs and RNNs. Advanced topics include LSTMs and autoencoders, essential for modern AI. The book also covers NLP and reinforcement learning, emphasizing their importance.Understanding these concepts is vital for developing advanced AI systems. This book transitions you from beginner to proficient AI practitioner, combining theoretical knowledge and practical skills. Appendices on Keras, TensorFlow 2, and Pandas enrich the learning experience. By the end, readers will understand AI principles and be ready to apply them in real-world scenarios.
Prateek Joshi
Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.
Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai...
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.
Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai...
Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.
Arystoteles na nowo odczytany. Ryszarda Kilvingtona
Elżbieta Jung
Książka jest efektem wieloletnich badań dotyczących historii nauki średniowiecznej, mianowicie początków fizyki matematycznej. Można w niej wyodrębnić dwie części: monografię, w której autorka odpowiada na pytanie, czy XIV-wieczna fizyka matematyczna, inspirowana nominalistyczną filozofią Wilhelma Ockhama, doprowadziła do zerwania z jakościową fizyką Arystotelesa już w wieku XIV, oraz – tłumaczenie Kwestii o ruchu Ryszarda Kilvingtona, jednego z twórców szkoły Oksfordzkich Kalkulatorów. Z pozycji nominalistycznej, z jednej strony odrzuca on dużą część podejmowanej przez Arystotelesa problematyki, z drugiej zaś, wypełniając obowiązki nauczycielskie na średniowiecznym uniwersytecie, poddaje teorie Stagiryty interpretacji pozwalającej odnaleźć w jego myśli elementy bliskie – jak się Kilvingtonowi wydaje – jego poglądom. W swoich kwestiach Kilvington podejmuje analizę zagadnienia zmian, rozumianych, zgodnie z definicją Arystotelesa, jako ruch przestrzenny, zmiany jakościowe oraz ilościowe w ujęciu nominalistycznym, czyniąc matematykę właściwym językiem opisu przyrody. Są one też rezultatem jego nauczania, czasami zapisu ćwiczeń odbywanych w klasie ze studentami, zatem tekst ten ma również walor historyczny, ponieważ pokazuje nam, jak wielkie wymagania stawiano studentom średniowiecznym i jak dobrze się z nich wywiązywali. Jakiego rodzaju były to „obliczenia” i jakie dzięki nim można osiągnąć rezultaty, Czytelnik dowie się z lektury książki.
ASP.NET 3.5 CMS Development. Build, Manage, and Extend your own Content Management System
Curt Christianson, Jeff Cochran
ASP.NET 3.5 is equipped with a built-in security system, standard design templates, and easy configurations for database connections, which make it the ideal language for building a content management system. With the strong community support for the ASP.NET platform, you can be assured that what you write today will be around and supported for years to come. You can imagine how easy it is to get lost in the myriad features especially if you are a newcomer.This book shows you how to make use of ASP.NET's features and create a functional Content Management System quickly and conveniently. You will learn how to build your site and see the different ways in which you can customize your code to fit your needs. With this book in hand, you can easily set up users and groups, create valuable content for your users, and manage the layout of your site efficiently. All you need is a basic understanding of coding and a desire to learn, and this book will take care of the rest.This book will teach you to get your site up and running quickly, and maintain its content even if you have little or no web design or programming experience. It will give you all the knowledge you need to use the tools as well as the code required to make yourself a strong developer far beyond your site. It begins with setting up your programming environment and coding a Content Management System. You will learn how to install and configure a database and connect it to your CMS. You will be able to create content and manage the layout of your site, and also make it available beyond the browser. At the end of this book, you will have designed and built a CMS that allows you to administer an Articles section, Images and Files sections, as well as a full set of Administrator tools for your site.
Jesse Liberty, Dan Maharry, Dan Hurwitz
Kompletne źródło informacji na temat ASP.NET! Jak maksymalnie wykorzystać możliwości Visual Studio? Jakie tajemnice kryje język LINQ? Jak tworzyć bezpieczne aplikacje internetowe? Aplikacje internetowe cieszą się wciąż rosnącą popularnością. Na rynku narzędzi do ich tworzenia można znaleźć wiele rozwiązań, a wśród nich jedno wyjątkowe — platformę .NET. Pozwala ona na wykorzystanie dowolnego obsługiwanego przez nią języka programowania do tworzenia dynamicznych, interaktywnych i atrakcyjnych rozwiązań internetowych. Wybierając platformę .NET, otrzymasz dostęp do wielu dodatkowych narzędzi i — co najważniejsze — do wiedzy zgromadzonej przez całą używającą jej społeczność. Niezliczona liczba stron, artykułów i osób chętnych do pomocy sprawia, że rozwiązanie nawet najbardziej skomplikowanego problemu staje się łatwiejsze. Dzięki tej książce zdobędziesz wiedzę pozwalającą Ci na swobodne poruszanie się w świecie aplikacji internetowych opartych o .NET. Nauczysz się w maksymalny sposób wykorzystywać możliwości środowiska Visual Studio 2008, poznasz dostępne kontrolki oraz sprawdzisz, do czego może Ci się przydać ADO.NET. Ponadto odkryjesz tajemnice języka LINQ i zasady, których przestrzeganie zapewni bezpieczeństwo Twojej aplikacji. W kolejnych rozdziałach autorzy przedstawią Ci metody tworzenia usług sieciowych, zwiększania wydajności poprzez buforowanie oraz konfiguracji serwera IIS 7.0. Książka ta pozwoli Ci w łatwy sposób wykonać pierwszy krok w świat dynamicznych stron WWW, tworzonych z wykorzystaniem ASP.NET. Praca w zintegrowanym środowisku programistycznym Visual Studio 2008 Podstawowe kontrolki oraz kontrolki pozwalające na dostęp do danych Dostęp do baz danych z wykorzystaniem ADO.NET Zastosowanie języka LINQ Gwarancja poprawności danych Zapewnienie bezpieczeństwa aplikacji internetowej Tworzenie stron wzorcowych Przygotowanie usług sieciowych Protokoły i standardy usług sieciowych Poprawa wydajności poprzez zastosowanie buforowania Konfiguracja serwera IIS 7.0 Debugowanie kodu i śledzenie jego wykonania Wdrażanie aplikacji w środowisku lokalnym i globalnym Przydatne skróty klawiaturowe Poznaj możliwości jednej z najpopularniejszych platform do tworzenia dynamicznych stron WWW!
Andrew Siemer
Each chapter starts by showing the user experience we are going to create in the chapter. It then has a section discussing the major design decisions we face in building these features, and finally presents the 'solution' – including the overall architecture and highlighting the most important code elements. The book presents a lot of real-world code, with comprehensive explanation and discussion. The full social network application is available for download from the Packt website, for you to examine, study, and modify. This book is written for ASP.NET and C# developers who want to build an enterprise-grade Social Network, either for their own business purposes or as a contract job for another company. The book assumes you have prior experience of developing web applications using ASP.NET 3.5, C# 3.0, SQL Server 2005/2008, and Visual Studio .NET 2008; it focuses on topics that will be of interest to existing developers – not on providing step-by-step examples for each detail.
ASP.NET 3.5. Tworzenie portali internetowych w nurcie Web 2.0
Omar AL Zabir
Poznaj sekrety zaawansowanych technologii budowy portali internetowych Web 2.0 Jak zaprojektować witrynę dla platformy ASP.NET i ASP.NET AJAX? Jak rozbudować serwis zgodnie z zasadami ergonomii? Jak zwiększyć wydajność serwera? Portale sieciowe Web 2.0, opierające się na technologii AJAX, umożliwiają użytkownikom personalizowanie stron, a także agregowanie danych z różnych źródeł. Wszystko to sprawia, że są doskonałymi serwisami korporacyjnymi i należą do najefektywniejszych aplikacji sieciowych. Zastosowanie mechanizmów AJAX pozwala na udostępnienie interaktywnego i rozbudowanego interfejsu, działającego znacznie szybciej i bardziej wydajnie niż w tradycyjnych serwisach. Natomiast wykorzystanie widżetów (komponentów typu plag-and-play) zapewnia przejrzystość architektury portalu i łatwość jego rozbudowy, ponieważ są one opracowywane niezależnie od warstwy rdzeniowej systemu. Książka "ASP.NET 3.5. Tworzenie portali internetowych w nurcie Web 2.0" zawiera opis najnowszych metod i technologii projektowania oraz budowy portali z wykorzystaniem platformy ASP.NET i środowiska ASP.NET AJAX. W podręczniku przedstawiono także praktyczne rozwiązania problemów związanych z projektowaniem, wdrażaniem, utrzymaniem, a także skalowaniem i usprawnianiem serwisu. Dzięki tej pozycji poznasz poszczególne fazy budowy prototypowego portalu, zaawansowane techniki technologii AJAX oraz sposoby optymalizacji kodu. Nauczysz się m. in. przygotowywać widżety klienckie za pomocą kodu JavaScript, tworzyć własne mechanizmy obsługi wywołań, zwiększać wydajność serwera i skalowalność usług sieciowych. Zdobędziesz zatem całą potrzebną Ci wiedzę i umiejętności, które pozwolą zbudować stabilny, nowoczesny i bezpieczny portal internetowy. Wprowadzenie do budowy portali internetowych Architektura portali i widżetów Projekt warstwy sieciowej w środowisku ASP. NET AJAX Projekt warstwy danych i warstwy biznesowej na platformie NET 3.5 Widżety klienckie Optymalizacja pracy środowiska ASP.NET AJAX Tworzenie asynchronicznych i transakcyjnych usług sieciowych z uwzględnieniem buforowania danych Skalowalność usług sieciowych Zwiększenie wydajności serwera i klienckiej części aplikacji Zarządzanie witryną Zaprojektuj bardzo wydajną i supernowoczesną witrynę internetową