Libros de Informática práctica, página 38 de 418

Estamos en los comienzos de una nueva revolución tecnológica equiparable a la revolución industrial del siglo XVIII y a la revolución de la Información (Internet) del siglo XX. Es la revolución robótica.Hoy en dia nadie duda de la importancia de la robotica a nivel industrial (en estos ultimos años se han instalado mas robots que nunca) y tampoco nadie duda que los robots, en poco tiempo, estaran presentes en todos los ambitos humanos (ejemplos actuales son el robot aspirador Roomba, el coche autonomo de Google, o el robot cirujano Da Vinci).Los robots educativos permiten a los jovenes introducirse a este mundo tecnologico y, sobre todo, son la mejor herramienta didactica para la enseñanza de las disciplinas academicas STEM (ciencia, tecnologia, ingenieria y matematica). Por eso, la robotica es una materia que se esta empezando a implantar, a nivel mundial, en los planes docentes de cursos de todas las edades.Este libro incluye una completa recopilacion de informacion y actividades practicas relacionadas con tres de las plataformas mas utilizadas en robotica educativa: Arduino, Lego y Android.Estas actividades han sido diseñadas especialmente para estudiantes y profesores de enseñanza secundaria. En particular, en la seccion de Arduino el lector aprendera a construir un robot basado en Arduino UNO o compatible y programarlo a traves de la herramienta web Bitbloq de BQ. En la seccion de Lego Mindstorm el lector aprendera a programar robots basados tanto en la version NXT o la version Ev3 con el nuevo software Ev3-G. En la seccion de Android el lector aprendera a programar, con Appinventor, aplicaciones para tabletas o moviles Android con las que controlar robots basados en Arduino o Lego.Tanto profesores como alumnos disponen de otro libro teorico introductorio a los fundamentos basicos de la robotica.

En Percepción visual aplicada a la robótica se presentan los conceptos y técnicas fundamentales relacionados con la digitalización de imágenes, el procesamiento de señales en dos dimensiones, además de una introduccion a la transformada Wavelet y la transformada de Hough. Se expone la cinematica de los robots manipuladores y moviles, y se presentan detalladas aplicaciones como control de robots moviles por medio de percepcion visual, deteccion y ubicacion de objetos usando sensores infrarrojos, ultrasonicos, de rango laser y camaras, asi como construccion de mapas simples y navegacion, asi como el filtrado en la secuencia, deteccion de movimiento, procesamiento de imagenes en el dominio espacial, cinematica de robots manipuladores, vision artificial, control de Hardware mediante FPGAs y sistemas de vision en base a FPGAs. Conozca Las tecnicas de navegacion utilizando los diferentes tipos de mapas y sensores, y la diferencia entre robots moviles y manipuladores. Aprenda Sobre el procesamiento de imagenes en el dominio espacial con diferentes sensores utilizando diferentes tipos de señales. Desarrolle sus habilidades para: Aplicaciones de los dispositivos de arreglo de compuertas programables en campo y el sistema de vision en base a FPGAs.

This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.Following the overview, Murphy contrasts AI and engineering approaches and discusses what she calls the three paradigms of AI robotics: hierarchical, reactive, and hybrid deliberative/reactive. Later chapters explore multiagent scenarios, navigation and path-planning for mobile robots, and the basics of computer vision and range sensing. Each chapter includes objectives, review questions, and exercises. Many chapters contain one or more case studies showing how the concepts were implemented on real robots. Murphy, who is well known for her classroom teaching, conveys the intellectual adventure of mastering complex theoretical and technical material.An Instructor''s Manual including slides, solutions, sample tests, and programming assignments is available to qualified professors who are considering using the book or who are using the book for class use.

This indispensable handbook describes essential foundations of artificial intelligence.Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically.The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field.This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.- Make your computer smarter.- Handle qualitative and uncertain information.- Improve computational tractability to solve your problems easily.

Although many software books highlight open problems in secure software development, few provide easily actionable, ground-level solutions.Breaking the mold, Secure and Resilient Software Development teaches you how to apply best practices and standards for consistent and secure software development. It details specific quality software development strategies and practices that stress resilience requirements with precise, actionable, and ground-level inputs.Providing comprehensive coverage, the book illustrates all phases of the secure software development life cycle. It shows developers how to master non-functional requirements including reliability, security, and resilience. The authors provide expert-level guidance through all phases of the process and supply many best practices, principles, testing practices, and design methodologies.Features:- Guides developers in incorporating security testing practices in application development, which helps identify and fix problems early and results in significant cost and time savings.- Provides comprehensive coverage of quality software development practices stressing resilience activities.- Presents precise, actionable, and practical strategies that connect directly with developers.- Shows developers how to master non-functional requirements, including reliability, security, and resilience.

This book covers new and significant research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems.It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

First introduced two decades ago, the term ubiquitous computing is now part of the common vernacular. Ubicomp, as it is commonly called, has grown not just quickly but broadly so as to encompass a wealth of concepts and technology that serves any number of purposes across all of human endeavor. While such growth is positive, the newest generation of ubicomp practitioners and researchers, isolated to specific tasks, are in danger of losing their sense of history and the broader perspective that has been so essential to the fields creativity and brilliance.Under the guidance of John Krumm, an original ubicomp pioneer, Ubiquitous Computing Fundamentals brings together eleven ubiquitous computing trailblazers who each report on his or her area of expertise. Starting with a historical introduction, the book moves on to summarize a number of self-contained topics. Taking a decidedly human perspective, the book includes discussion on how to observe people in their natural environments and evaluate the critical points where ubiquitous computing technologies can improve their lives. Among a range of topics this book examines:- How to build an infrastructure that supports ubiquitous computing applications.- Privacy protection in systems that connect personal devices and personal information.- Moving from the graphical to the ubiquitous computing user interface.- Techniques that are revolutionizing the way we determine a persons location and understand other sensor measurements.While we neednt become expert in every sub-discipline of ubicomp, it is necessary that we appreciate all the perspectives that make up the field and understand how our work can influence and be influenced by those perspectives. This is important, if we are to encourage future generations to be as successfully innovative as the fields originators.

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own.The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers.Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics.The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.

Provides a deep understanding of past, current and future research and applications in educational technology.The handbook''s goal is to enable the reader to gain a deep understanding of past, current and future research and applications in the field of educational technology. The reader will gain an in-depth understanding of complex theories, strategies, concepts, and methods relating to the design, development, implementation, and evaluation of educational technologies.Because it combines both the present experience in the field and the vision of its emerging directions, the handbook will be a comprehensive guide for researchers and practitioners working with educational technologies.All the chapters of the second edition are newly written, the handbook therefore presents the latest developments in the field.

As systems have grown more crucial to the operations of organizations worldwide, so too have the costs associated with building and maintaining them.Enter model-driven architecture (MDA), a standard framework from the Object Management Group (OMG) that allows developers to link object models together to build complete systems. MDA prevents design decisions from being intertwined with the application and keeps it independent of its implementation. The result is an application that can be combined with other technologies as well as other applications, and models that become highly reusable assets.MDA Distilled is an accessible introduction to the MDA standard and its tools and technologies. The book describes the fundamental features of MDA, how they fit together, and how you can use them in your organization today. You will also learn how to define a model-driven process for a project involving multiple platforms, implement that process, and then test the resulting system.MDA Distilled will help you understand:- The MDA framework, including the platform-independent model (PIM) and the platform-specific model (PSM)- The Meta Object Facility (MOF)--the OMG''s adopted standard for metamodeling- Horizontal, vertical, and merging mappings between models- Building marks and marking models- Elaborating models, including viewing generated models, and managing manual changes- Building executable models with Executable UML- Agile MDA developmentDevelopers and architects can dramatically improve productivity, portability, interoperability, and maintenance with MDA. Find out how with this essential reference, and quickly learn how to harness the significant power of this new framework.

The author compiles everything a student or experienced developmental engineer needs to know about the supporting technologies associated with the rapidly evolving field of robotics.