Yunong Zhang is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; Zhijun Zhang is a research fellow working at the same institute.
In Rise of the Robots, Ford details what machine intelligence and robotics can accomplish, and implores employers, scholars, and policy makers alike to face the implications. The past solutions to technological disruption, especially more training and education, aren't going to work, and we must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading for anyone who wants to understand what accelerating technology means for their own economic prospects—not to mention those of their children—as well as for society as a whole.
Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including business, government, and academic research.Develop a naïve Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a “whom to follow” recommendation system from Twitter data
The second edition of a bestseller, Human Factors in Simple and Complex Systems provides the necessary understanding of the breadth and depth of human factors issues that influence the design, implementation, and evaluation of products and systems. Emphasizing the close relationship between basic theory and application, the authors delineate a framework for the research process, present an integrated view of the current state of knowledge, and examine how these factors can be applied to system design. The new edition addresses such concepts as situation awareness and highlights topics of interest, with a special focus on computer applications and human-computer interaction.
See what’s new in the Second Edition
New topics, such as situational awareness, that capture the tremendous changes in human factors and ergonomics Tightly integrates basic research and application, strengthening the link between knowledge and practice Each chapter includes a separate box that discusses a topic of current interest related to human interaction with computers and recent technology
Demonstrating a general approach to solving a broad range of system problems, the book provides coverage of the theoretical foundation on which the discipline of human factors is built. Structured around human information processing, it covers the full range of contemporary human factors and ergonomics, then shows you how to apply them.
It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected.
In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge.
The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans.
The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What happens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?Who knows—maybe there’s a bot learning to do your job this minute.
If you’ve ever thought to yourself “there has to be a better way to do this,” while using CATIA V5, then know you're probably right. There probably is a better way to complete your tasks you just don't know what it is and you don't have time to read a boring, expensive, thousand page manual on every single CATIA feature. If so, then CATIA V5 Tips and Tricks is for you. No fluff, just CATIA best practices and time savers you can put to use right away. From taming the specification tree to sketching, managing large assemblies and drawings, CATIA V5 Tips and Tricks will save you time and help you avoid common stumbling blocks.
The Arduino is a simple microcontroller with an easy-to-learn programming environment, while the Raspberry Pi is a tiny Linux-based computer. This book clearly explains the differences between the Arduino and Raspberry Pi, when to use them, and to which purposes each are best suited.
Using these widely available and inexpensive platforms, you'll learn to control LEDs, motors of various types, solenoids, AC (alternating current) devices, heaters, coolers, displays, and sound. You'll even discover how to monitor and control these devices over the Internet. Working with solderless breadboards, you'll get up and running quickly, learning how to make projects that are as fun as they are informative. In Make: Action, you'll learn to:Build a can crusher using a linear actuator with your ArduinoHave an Arduino water your plantsBuild a personal traffic signal using LEDsMake a random balloon popper with ArduinoCool down your beverages with a thermostatic drink cooler you build yourselfUnderstand and use the PID control algorithmUse Raspberry Pi to create a puppet dance party that moves to your tweets!
The pervasiveness and range of capabilities of today’s mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors—a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations.
Developed from the authors’ nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user’s activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.
One thing these technologies can't do is answer the profound moral issues they raise. Who should be held accountable when they go wrong? What responsibility do we, as creators and users, have for the technologies we build? In A Dangerous Master, ethicist Wendell Wallach tackles such difficult questions with hard-earned authority, imploring both producers and consumers to face the moral ambiguities arising from our rapid technological growth. There is no doubt that scientific research and innovation are a source of promise and productivity, but, as Wallach, argues, technological development is at risk of becoming a juggernaut beyond human control. Examining the players, institutions, and values lobbying against meaningful regulation of everything from autonomous robots to designer drugs, A Dangerous Master proposes solutions for regaining control of our technological destiny.
Wallach's nuanced study offers both stark warnings and hope, navigating both the fears and hype surrounding technological innovations. An engaging, masterful analysis of the elements we must manage in our quest to survive as a species, A Dangerous Master forces us to confront the practical—and moral—purposes of our creations.
Provides Basic Transferable Skills for Managing Electrical Power on Ships or on Land
This groundbreaking book is the first volume of its kind to illustrate optimization of all aspects of shipboard electrical power systems. Applying author Mukund Patel’s rare combination of industrial and educational work experiences and insight, it offers solutions to meet the increasing demand for large, fast, efficient, and reconfigurable ships to compete in international markets.
For 30 years, Professor Patel was an engineer for companies including General Electric, Lockheed Martin, and Westinghouse Electric, and in the past 15 years he has been an engineering professor at the U.S. Merchant Marine Academy. That varied experience helped him zero in on the specialized multidimensional knowledge an engineer requires—and that is what sets his book apart.
Compiles Critical, Hard-to-Find Information on Power System Design, Analysis, and Operation
The global shortage of power engineers is not deterring countries from heavily investing in construction of new power plants and grids. Consequent growth in university electrical power programs is satisfying the demand for engineers, but novice graduates require accelerated understanding and practical experience before entering the thriving maritime segment.
Ideal for readers with limited electrical experience, wide-ranging coverage includes power system basics, power generation, electrical machines, power distribution, batteries, and marine industry standards. This book is an invaluable tool for engineers working on ships, as well as in ports, industrial power plants, refineries, and other similar environments.
Now in its sixth edition, this book gives an introduction into the latest version of engineering software STEP 7 (basic version) . It describes elements and applications of text-oriented programming languages statement list (STL) and structured control language (SCL) for use with both SIMATIC S7-300 and SIMATIC S7-400, including the new applications with PROFINET and for communication over industrial Ethernet. It is aimed at all users of SIMATIC S7 controllers.
First-time users are introduced to the field of programmable controllers, while advanced users learn about specific applications of the SIMATIC S7 automation system.
All programming examples found in the book - and even a few extra examples - are available at the download area of the publisher's website.
As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of increasingly complex problems.
Learn from the Creators of the RapidMiner Software
Written by leaders in the data mining community, including the developers of the RapidMiner software, RapidMiner: Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The software and their extensions can be freely downloaded at www.RapidMiner.com.
Understand Each Stage of the Data Mining Process
The book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as R packages or your IT infrastructure via web services. The book and software also extensively discuss the analysis of unstructured data, including text and image mining.
Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics
Each chapter describes an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics. The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.
This book is intended for readers who are familiar with the Arduino platform and want to learn more about creating wearable projects. No previous experience in wearables is expected, although a basic knowledge of Arduino programming will help.What You Will LearnDevelop a basic understanding of wearable computingLearn about Arduino and its compatible prototyping platforms suitable for creating wearablesUnderstand the design process surrounding the creation of wearable objectsGain insight into the materials suitable for developing wearable projectsDesign and create projects including interactive bike gloves, GPRS locator watch, and more using various kinds of electronic componentsDiscover programming for interactivityLearn how to connect and interface wearables' with Bluetooth and WiFiGet your hands dirty with your own personalized designsIn Detail
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.Style and approach
This is a project-based book that introduces each project to the reader step-by-step. Each project starts out by covering all the components individually, and then explains how to combine them into interactive objects. Each project contains an easy-to-follow guide to design and implement the electronics into wearable objects.
The book takes a holistic approach to thinking about the complex systems, providing a deeper understanding of the underlying nature of the system and the vocabulary of systems engineering. The authors give you working knowledge of the processes used to design, build, test, operate, and maintain the systems that we depend on every day. They break down the systems engineering life cycle, describing in the simplest terms what should be done along the development process.
Although there are many facets of systems engineering, it can be explained as focusing on addressing why a system is needed, what the system must do, and then how the system will accomplish the task over the entire life of the system—in that order. This fundamental review covers the processes from beginning to end, in plain language, giving you an overview of systems engineering that you can translate into your work in any field.
Power Electronics for Renewable and Distributed Energy Systems takes an integrative approach; discussing power electronic converters topologies, controls and integration that are specific to the renewable and distributed energy system applications.
An overview of power electronic technologies is followed by the introduction of various renewable and distributed energy resources that includes photovoltaics, wind, small hydroelectric, fuel cells, microturbines and variable speed generation. Energy storage systems such as battery and fast response storage systems are discussed along with application-specific examples. After setting forth the fundamentals, the chapters focus on more complex topics such as modular power electronics, microgrids and smart grids for integrating renewable and distributed energy. Emerging topics such as advanced electric vehicles and distributed control paradigm for power system control are discussed in the last two chapters.
With contributions from subject matter experts, the diagrams and detailed examples provided in each chapter make Power Electronics for Renewable and Distributed Energy Systems a sourcebook for electrical engineers and consultants working to deploy various renewable and distributed energy systems and can serve as a comprehensive guide for the upper-level undergraduates and graduate students across the globe.
Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life.
In A Mind for Numbers, Dr. Oakley lets us in on the secrets to learning effectively—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. The learning strategies in this book apply not only to math and science, but to any subject in which we struggle. We all have what it takes to excel in areas that don't seem to come naturally to us at first, and learning them does not have to be as painful as we might think!
From the Trade Paperback edition.
This book treats physically-based as well as experimentally-refined engine models for gasoline and diesel engines and uses them to exemplify the design of various advanced control systems. The procedures, from measurements through simulation to calibration on test benches, are systematically described and demonstrated. The treatment spans not only the stationary but also the dynamic behavior of engines. Several new control regimens are detailed, such as multivariable feedforward and feedback control based on nonlinear net models, combustion pressure and HCCI control. Many new results with signal and process model-based fault diagnosis are used to show how on-board fault diagnosis can be considerably improved.
The book is directed at advanced students working in control, electrical, mechanical and mechatronic engineering and will also be useful for practicing engineers in the field of engine and automotive engineering.
Chapters in Part A explain the significant influence of automation on our life, on individuals, organizations, and society, in economic terms and context, and impacts of precision, accuracy and reliability with automatic and automated equipment and operations. The theoretical and scientific knowledge about the human role in automation is covered in Part B from the human-oriented and human-centered aspects of automation to be applied and operated by humans, to the human role as supervisor and intelligent controller of automation systems and platforms. This part concludes with analysis and discussion on the limits of automation to the best of our current understanding. Covering automation design from theory to building automation machines, systems, and systems-of-systems , Part C explains the fundamental elements of mechatronics, sensors, robots, and other components useful for automation, and how they are combined with control and automation software, including models and techniques for automation software engineering, and the automation of the design process itself. Chapters in Part D cover the basic design requirements for the automation and illustrate examples of how the challenging issues can be solved for the deign and integration of automation with respect to its main purpose: Continuous and discrete processes and industries, design techniques, criteria and algorithms for flow lines, and integrated automation. Concluding this part is the design for safety of automation, and of automation for safety. The main aspects of automation management are covered by the chapters in Part E: Cost effectiveness and economic reasons for the design, feasibility analysis, implementation, rationalization, use, and maintenance of particular automation; performance and functionality measures and criteria. Related also are the issues of how to manage automatically and control maintenance, replacement, and upgrading. Part F, industrial automation, begins with explanation of machine tool automation, including various types of numerical control (NC), flexible, and precision machinery for production, manufacturing, and assembly, digital and virtual industrial production, to detailed design, guidelines and application of automation in the principal industries, from aerospace and automotive to semi-conductor, mining, food, paper and wood industries. Chapters are also devoted to the design, control and operation of functions common to all industrial automation. Infrastructures and service automation are covered in Part G and it is explained how automation is designed, selected, integrated, justified and applied, its challenges and emerging trends in those areas and in the construction of structures, roads and bridges; of smart buildings, smart roads and intelligent vehicles; cleaning of surfaces, tunnels and sewers; land, air, and space transportation; information, knowledge, learning, training, and library services; and in sports and entertainment. Automation in medical and healthcare systems is covered in Part H and shows the exponential penetration and main contributions of automation to the health and medical well being of individuals and societies. First, the scientific and theoretical foundations of control and automation in biological and biomedical systems and mechanisms are explained, then specific areas are described and analyzed. Available, proven, and emerging automation techniques in healthcare delivery and elimination of hospital and other medical errors are also addressed. Finally, Part I, Home, Office, and Enterprise Automation is about functional automation areas at home, in the office, and in general enterprises, including multi-enterprise networks. Chapters also cover the automation theories, techniques and practice, design, operation, challenges and emerging trends in education and learning, banking, commerce. An important dimension of the material compiled for this part is that it is useful for all other functional areas of automation. The concluding part of this Springer Handbook contains figures and tables with statistical information and summaries about automation applications and impacts in four main areas: industrial automation, service automation, healthcare automation, and financial and e-commerce automation. A rich list of associations and of periodical publications around the world that focus on automation in its variety of related fields is also included for the benefit of readers worldwide.
Throughout the 94 chapters, divided into ten main parts, with 124 tables, 1005 figures, the 168 co-authors present proven knowledge, original analysis, best practices and authoritative expertise.
Plenty of case studies, creative examples and unique illustrations, covering topics of automation from the basics and fundamentals to advanced techniques, cases and theories will serve the readers and benefit the students and researchers, engineers and managers, inventors, investors and developers.
This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful.What You Will LearnApply the most scalable machine learning algorithmsWork with modern state-of-the-art large-scale machine learning techniquesIncrease predictive accuracy with deep learning and scalable data-handling techniquesImprove your work by combining the MapReduce framework with SparkBuild powerful ensembles at scaleUse data streams to train linear and non-linear predictive models from extremely large datasets using a single machineIn Detail
Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy.
Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.Style and Approach
This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly.
Large-scale machine learning tackles a different issue to what is currently on the market. Those working with Hadoop clusters and in data intensive environments can now learn effective ways of building powerful machine learning models from prototype to production.
This book is written in a style that programmers from other languages (R, Julia, Java, Matlab) can follow.
The book covers systems and systems engineering, systems methods, models, and analytical techniques as well as systems management and control methods. It discusses systems concepts, emphasizing system life cycle, and includes coverage of systems design processes and the major activities involved. It offers hands-on exercises after each chapter, giving students a solid understanding of system requirements, and uses a software package (CORE) to introduce the requirement management process.
Designed for readers with a wide range of backgrounds, the book enables students to learn about systems and systems engineering, and, more specifically, to be able to use and apply the models and methods in the systems engineering field. The author has integrated feedback from students with materials used in teaching for many years, making the book especially approachable to non-engineering students with no prior exposure to this subject. Engineering students, on the other hand, will also benefit from the clear, concise coverage this book provides as well as the relevant analysis models and techniques.
Strengthening the analytic flavor of the book, this Second Edition:Features a new chapter on analytic combinatorics and new sections on advanced applications of generating functions Demonstrates powerful techniques that do not require the residue theorem or complex integration Adds new exercises to all chapters, significantly extending coverage of the given topics
Introduction to Enumerative and Analytic Combinatorics, Second Edition makes combinatorics more accessible, increasing interest in this rapidly expanding field.
On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming. Some of the computational advantages and problems of this approach are also presented.
For any serious student of robotics, Neural Networks in Robotics provides an indispensable reference to the work of major researchers in the field. Similarly, since robotics is an outstanding application area for artificial neural networks, Neural Networks in Robotics is equally important to workers in connectionism and to students for sensormonitor control in living systems.
As part of Totally Integrated Automation (TIA) Portal, the engineering software STEP 7 Basic offers a newly developed user interface, which is matched to intuitive operation. The functionality comprises all interests concerning automation: From configuring the controllers via programming in the IEC languages LAD (ladder diagram), FBD (function block diagram) and SCL (structured control language) up to program testing.
The book presents all of the hardware components of the automation system S7-1200, as well as its configuration and parameterization. A profound introduction into STEP 7 Basic V11 illustrates the basics of programming and trouble shooting. Beginners learn the basics of automation with SIMATIC S7-1200 and advanced users of S7-200 and S7-300 receive the knowledge required to work with the new PLC.
Users of STEP 7 Professional V12 will easily get along with the descriptions based on the V11. With start of V12, the screens of the technology functions might differ slightly from the V11.
The Handbook of Applied Cryptography provides a treatment that is multifunctional:
It serves as an introduction to the more practical aspects of both conventional and public-key cryptography
It is a valuable source of the latest techniques and algorithms for the serious practitioner
It provides an integrated treatment of the field, while still presenting each major topic as a self-contained unit
It provides a mathematical treatment to accompany practical discussions
It contains enough abstraction to be a valuable reference for theoreticians while containing enough detail to actually allow implementation of the algorithms discussed
Now in its third printing, this is the definitive cryptography reference that the novice as well as experienced developers, designers, researchers, engineers, computer scientists, and mathematicians alike will use.
The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms.
The text features material on the following subjects:
• general MPC elements and algorithms;
• commercial MPC schemes;
• generalized predictive control
• multivariable, robust, constrained nonlinear and hybrid MPC;
• fast methods for MPC implementation;
All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and MATLAB® programs to aid in their solution can be downloaded from the authors' website. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.
The book discusses information revolution, including topics about microchips, information processing operations, analog and digital systems, information processing system, and systems analysis. The text also describes computers, computer hardware, microprocessors, and microcomputers. The peripheral devices connected to the central processing unit; the main types of system software; application software; and graphics and multimedia are also considered. The book tackles equipment, software, and procedures involved in computer communications; available telecommunications services; and data and transaction processing. The text also presents topics about computer-integrated manufacturing; the technology of information processing and its business applications; and the impact of this technology on society in general.
Students taking computer and information technology courses will find the book useful.
Modelling and Control of Mini-Flying Machines is an exposition of models developed for various types of mini-aircraft:planar Vertical Take-off and Landing aircraft; helicopters; quadrotor mini-rotorcraft; other fixed-wing aircraft; blimps;
for each of which it propounds: detailed models derived from Euler-Lagrange methods; appropriate nonlinear control strategies and convergence properties; real-time experimental comparisons of the performance of control algorithms; review of the principal sensors, on-board electronics, real-time architecture and communications systems for mini-flying machine control, including discussion of their performance; detailed explanation of the use of the Kalman filter to flying machine localization.
To researchers and students in nonlinear control and its applications Modelling and Control of Mini-Flying Machines provides valuable insights to the application of real-time nonlinear techniques in an always challenging area.
The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.
Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?
How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.
Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.
And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Mark Rosheim attended the University of Minnesota, studying mechanical engineering. He has developed robotic technologies for NASA, the Department of Defense, and the Department of Energy, and is the founder and president of Ross-Hime Designs, Inc., a Minneapolis, Minnesota-based mechanical design company. He holds over 20 patents in robot technology, and has published and lectured extensively around the world on the topic of robot technology and history.
His quest to understand the mechanical principles of human motion and dexterity led him to investigate the anatomical and mechanical drawings of Leonardo da Vinci. Utilizing a new approach, he began to reconnect the tell-tale fragments into a cohesive whole. His resulting work has attracted attention worldwide, including articles in the New York Times, U.S. News and World Report, and Wired, and has been the subject of news features and films on several Italian television stations, the BBC, PBS and the History Channel.
A versatile text that spans several courses in mechatronics, the book offers a strong foundation in such core subjects as dynamic system modeling, electronic components and analysis, mechanical components and analysis, robotics, sensors/transducers and instrumentation, stepper motors, dc and ac motors and drives, hydraulic and pneumatic actuators, fluidics, automatic control, digital processing and hardware, communication and interfacing, software tools, design, and prototyping. Appendices provide additional background on Laplace and Fourier transform techniques, and software tools including MATLABÒ, SIMULINKÒ, and LabVIEWÒ. The book emphasizes practical situations and applications with numerous worked examples, problems, and exercises. An entire chapter is devoted to practical case studies.
Mechatronics: An Integrated Approach seamlessly incorporates advanced theory and concepts, various considerations of practical applications including tools, instrumentation, design issues, automatic control, and industrial techniques using a reader-friendly, snapshot style that is ideal for students with a basic engineering background