Metropolitan government and metropolitan governance have been ongoing issues for more than sixty years in the United States. Based on an extensive survey and a review of existing literature, this book offers a comprehensive overview of these debates. It discusses how the centrifugal forces in local government, and in particular local government autonomy, have produced a highly fragmented governmental landscape throughout America. It argues that in order for 'governance' to occur in metropolitan areas (or anywhere else, for that matter), there has to be some form of an actual governmental institution that possesses the power and ability to compel compliance. Everything else is just some form of cooperation, and while cooperation is not trivial, it does not enable metropolitan areas to address the really tough and controversial issues that divide rather than unite governments in those areas. The book examines the principal factors that prevent the development of either metropolitan government or metropolitan governance in the USA. Norris looks at several examples where some form of metropolitan government or governance can be said to exist, from voluntary cooperation (the weakest) to government (the strongest). He also examines each type of arrangement for its ability to address metropolitan-wide problems and whether each type is or is not in use in the USA. In sum, the book uncovers the extent of metropolitan government and governance, the possibility for its existence, what attempts (if any) have been made in the past, and the problems and issues that have arisen due to the lack of adequate metropolitan governance.
Using the Pi Camera and a Raspberry Pi board, expand and replicate interesting machine learning (ML) experiments. This book provides a solid overview of ML and a myriad of underlying topics to further explore. Non-technical discussions temper complex technical explanations to make the hottest and most complex topic in the hobbyist world of computing understandable and approachable. Machine learning, also commonly referred to as deep learning (DL), is currently being integrated into a multitude of commercial products as well as widely being used in industrial, medical, and military applications. It is hard to find any modern human activity, which has not been "touched" by artificial intelligence (AI) applications. Building on the concepts first presented in Beginning Artificial Intelligence with the Raspberry Pi, you’ll go beyond simply understanding the concepts of AI into working with real machine learning experiments and applying practical deep learning concepts to experiments with the Pi board and computer vision. What you learn with Machine Learning with the Raspberry Pi can then be moved on to other platforms to go even further in the world of AI and ML to better your hobbyist or commercial projects. What You'll Learn Acquire a working knowledge of current ML Use the Raspberry Pi to implement ML techniques and algorithms Apply AI and ML tools and techniques to your own work projects and studies Who This Book Is For Engineers and scientists but also experienced makers and hobbyists. Motivated high school students who desire to learn about ML can benefit from this material with determination.
A dozen fiendishly fun projects for the Raspberry Pi! This wickedly inventive guide shows you how to create all kinds of entertaining and practical projects with Raspberry Pi operating system and programming environment. In Raspberry Pi Projects for the Evil Genius, you’ll learn how to build a Bluetooth-controlled robot, a weather station, home automation and security controllers, a universal remote, and even a minimalist website. You’ll also find out how to establish communication between Android devices and the RasPi. Each fun, inexpensive Evil Genius project includes a detailed list of materials, sources for parts, schematics, and lots of clear, well-illustrated instructions for easy assembly. The larger workbook-style layout makes following the step-by-step instructions a breeze. Build these and other devious devices: LED blinker MP3 player Camera controller Bluetooth robot Earthquake detector Home automation controller Weather station Home security controller RFID door latch Remote power controller Radon detector Make Great Stuff! TAB, an imprint of McGraw-Hill Professional, is a leading publisher of DIY technology books for makers, hackers, and electronics hobbyists.
Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.
A History of the Extended Family of Jesus from 100 BC through AD 100 and the Influence They Had on Him, on the Formation of Christianity, and on the History of Judea
A History of the Extended Family of Jesus from 100 BC through AD 100 and the Influence They Had on Him, on the Formation of Christianity, and on the History of Judea
Unraveling the Family History of Jesus approaches Jesus as an historical figure and sheds light on the details of the settings, the circumstances, and the context in which His family lived. Steven Donald Norris—drawing upon a wide array of sources—brings to this work an historian’s sensibility of the broad sweep of events and a genealogist’s eye for capturing the fine nuances that make a family’s own story unique. Typical theological treatments of Jesus tend to regard Him as the Messiah because the New Testament identifies Him as a “son of David.” Unraveling the Family History of Jesus digs into the background and lineage of Jesus and, by uncovering the setting in life—Sitz im Leben—of His family, shows precisely how Jesus was a son of David and how He—by right—ought to be acclaimed “King of the Jews.” In addition, this work documents the connections tying Jesus’s extended family to several historical figures who played prominent roles in the destruction of Jerusalem. Norris’ work provides fresh insights that arise from meticulous reexaminations of existing historical sources. It traces the family ties binding Jesus’s forebears and His extended family to one another and to Jesus Himself and tells how this family’s influence changed the course of human history.
Build and program projects that tap into the Internet of Things (IoT) using Arduino, Raspberry Pi, and BeagleBone Black! This innovative guide gets you started right away working with the most popular processing platforms, wireless communication technologies, the Cloud, and a variety of sensors. You’ll learn how to take advantage of the utility and versatility of the IoT and connect devices and systems to the Internet using sensors. Each project features a list of the tools and components, how-to explanations with photos and illustrations, and complete programming code. All projects can be modified and expanded, so you can build on your skills. The Internet of Things: DIY Projects with Arduino, Raspberry Pi, and BeagleBone Black Covers the basics of Java, C#, Python, JavaScript, and other programming languages used in the projects Shows you how to use IBM’s Net Beans IDE and the Eclipse IDE Explains how to set up small-scale networks to connect the projects to the Internet Includes essential tips for setting up and using a MySQL database. The fun, DIY projects in the book include: Raspberry Pi home temperature measurements Raspberry Pi surveillance webcams Raspberry Pi home weather station Arduino garage door controller Arduino irrigation controller Arduino outdoor lighting controller Beaglebone message panel Beaglebone remote control SDR Machine-to-machine demonstration project
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This fun, DIY project book teaches computer vision technology using Raspberry Pi and Raspi-Cam Written by dedicated hobbyist and bestselling author Donald Norris, this guide provides an introduction to the emerging field of computer vision technology and features interesting projects that use cutting-edge, real-time imaging triggers. You will explore the basics of computer vision and get complete explanations of how to employ open-source software and inexpensive hardware, including Raspberry Pi, OpenCV, and the Raspberry Pi Camera Module. Computer Vision Using the Raspberry Pi for the Evil Genius discusses many different types of real-time visual triggers, including facial and low-light recognition, with easy-to-follow explanations of the systems that control them. The book then presents step-by-step, DIY home projects—from a pet gate that opens for your pet but can keep out all unwanted critters to an outdoor bird feeder that can count the number of bird visitors and record information on their species. There is also a project that shows how to conduct crowd size estimations. •Teaches the basics of computer vision technology using Raspberry Pi, OpenCV, and the Raspberry Pi Camera Module•Each project includes a parts list, illustrations, and easy-to-follow assembly instructions•Introduces computer vision using Keras, an open-source Python framework
Build a custom multirotor aircraft! Build and customize radio-controlled quadcopters that take off, land, hover, and soar. Build Your Own Quadcopter: Power Up Your Designs with the Parallax Elev-8 features step-by-step assembly plans and experiments that will have you launching fully functioning quadcopters in no time. Discover how to connect Elev-8 components, program the microcontroller, use GPS, and safely fly your quadcopter. This fun, do-it-yourself guide fuels your creativity with ideas for radical enhancements, including return-to-home functionality, formation flying, and even artificial intelligence! Understand the principles that govern how quadcopters fly Explore the parts included in your Parallax Elev-8 kit Follow illustrated instructions and assemble a basic 'copter Connect the Parallax chip to a PC and write Spin and C programs Build radio-controlled systems that minimize interference Add GPS and track your aircraft through Google Earth Beam flight information to smartphones with WiFi and XBee technology Mount cameras and stream real-time video back to the ground Train to safely operate a quadcopter using flight simulation software
Program your own MicroPython projects with ease—no prior programming experience necessary! This DIY guide provides a practical introduction to microcontroller programming with MicroPython. Written by an experienced electronics hobbyist, Python for Microcontrollers: Getting Started with MicroPython features eight start-to-finish projects with clear, easy-to-follow instructions for each. You will learn how to use sensors, store data, control motors and other devices, and work with expansion boards. From there, you’ll discover how to design, build, and program all kinds of entertaining and practical projects of your own. • Learn MicroPython and object-oriented programming basics • Interface with a PC and load files, programs, and modules • Work with the LEDs, timers, and converters • Control external devices using serial interfaces and PWM • Build and program a let ball detector using the three-axis accelerometer • Install and program LCD and touch-sensor expansion boards • Record and play sounds using the AMP audio board
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Create your own STM32 programs with ease!Get up and running programming the STM32 line of microcontrollers from STMicroelectronics using the hands-on information contained in this easy-to-follow guide. Written by an experienced electronics hobbyist and author, Programming with STM32: Getting Started with the Nucleo Board and C/C++ features start-to-finish projects that clearly demonstrate each technique. Discover how to set up a stable development toolchain, write custom programs, download your programs to the development board, and execute them. You will even learn how to work with external servos and LED displays!•Explore the features of STM32 microcontrollers from STMicroelectonics•Configure your Nucleo-64 Microcontroller development board•Establish a toolchain and start developing interesting applications •Add specialized code and create cool custom functions•Automatically generate C code using the STM32CubeMX application•Work with the ARM Cortex Microcontroller Software Interface Standard and the STM hardware abstraction layer (HAL).•Control servos, LEDs, and other hardware using PWM•Transfer data to and from peripheral devices using DMA•Generate waveforms and pulses through your microcontroller’s DAC
Minutes before midnight on March 12, 1928, the St. Francis Dam collapsed, sending more than twelve billion gallons of water surging through Southern California’s Santa Clara Valley, killing some four hundred people and causing the greatest civil engineering disaster in twentieth-century American history. In this carefully researched work, Norris Hundley jr. and Donald C. Jackson provide a riveting narrative exploring the history of the ill-fated dam and the person directly responsible for its flawed design—William Mulholland, a self-taught engineer of the Los Angeles municipal water system. Employing copious illustrations and intensive research, Heavy Ground traces the interwoven roles of politics and engineering in explaining how the St. Francis Dam came to be built and the reasons for its collapse. Hundley and Jackson also detail the terror and heartbreak brought by the flood, legal claims against the City of Los Angeles, efforts to restore the Santa Clara Valley, political factors influencing investigations of the failure, and the effect of the disaster on congressional approval of the future Hoover Dam. Underlying it all is a consideration of how the dam—and the disaster—were inextricably intertwined with the life and career of William Mulholland. Ultimately, this thoughtful and nuanced account of the dam’s failure reveals how individual and bureaucratic conceit fed Los Angeles’s desire to control vital water supplies in the booming metropolis of Southern California.
American Naturalism and the Jews examines the unabashed anti-Semitism of five notable American naturalist novelists otherwise known for their progressive social values. Hamlin Garland, Frank Norris, and Theodore Dreiser all pushed for social improvements for the poor and oppressed, while Edith Wharton and Willa Cather both advanced the public status of women. But they all also expressed strong prejudices against the Jewish race and faith throughout their fiction, essays, letters, and other writings, producing a contradiction in American literary history that has stymied scholars and, until now, gone largely unexamined. In this breakthrough study, Donald Pizer confronts this disconcerting strain of anti-Semitism pervading American letters and culture, illustrating how easily prejudice can coexist with even the most progressive ideals. Pizer shows how these writers' racist impulses represented more than just personal biases, but resonated with larger social and ideological movements within American culture. Anti-Semitic sentiment motivated such various movements as the western farmers' populist revolt and the East Coast patricians' revulsion against immigration, both of which Pizer discusses here. This antagonism toward Jews and other non-Anglo-Saxon ethnicities intersected not only with these authors' social reform agendas but also with their literary method of representing the overpowering forces of heredity, social or natural environment, and savage instinct.
Learn To Easily Create Robotic, IoT, and Wearable Electronic Gadgets!Get up-and-running building cutting-edge Edison devices with help from this DIY guide. Programming the Intel Edison: Getting Started with Processing and Python lays out the Edison’s powerful features and teaches the basics of Internet-enabled embedded programming. Discover how to set up components, connect your PC or Mac, build Python applications, and use USB, WiFi, and Bluetooth connections. Start-to-finish example projects include a motor controller, home temperature system, robotic car, and wearable hospital alert sensor. Explore the capabilities and features of the Edison Connect Sparkfun, Break-out, and Arduino boards Program your Edison through the Arduino IDE Set up USB, GPIO, WiFi, and Bluetooth connections
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