Eltham benjamin (44 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - Are you trying to build reliable sensor-driven systems but keep running into issues with integration, data accuracy, or real-time performance Have you ever wondered how modern smart systems collect, process, and transmit data seamlessly across devices Sensor Integration for IoT Systems is written to answer those exact questions in a clear, practical, and deeply technical way. This book guides you through the complete process of connecting sensors to embedded platforms, managing data acquisition pipelines, and implementing efficient signal processing techniques that work in real-world conditions.You will not just learn theory. You will understand how to design systems that operate reliably under constraints such as limited power, unstable networks, and environmental noise. From basic interfacing methods to advanced architectural strategies, every concept is explained with clarity and purpose.What you will gain from this book: - A solid understanding of sensor interfacing techniques across analog and digital systems- Practical methods for accurate data acquisition and signal conditioning- Step-by-step insights into real-time data processing and communication- Strategies for building scalable and fault-tolerant IoT architectures- Techniques for optimizing power consumption in sensor-based systems- Clear approaches to debugging, testing, and validating integrated systems- Real-world implementation examples that bridge theory and applicationAre you working on smart devices, industrial monitoring systems, environmental sensing, or connected infrastructure This book is structured to help you move from concept to deployment with confidence.Instead of overwhelming you with unnecessary complexity, it focuses on what truly matters: making systems work efficiently, reliably, and at scale. Each section is written to help you think like a system designer, not just a programmer or hardware engineer.If you are serious about building modern sensor-based systems that perform well in real environments, this guide will give you the clarity and direction you need.…

Taschenbuch. Condición: Neu. Neuware - Diesel Engine Engineering HandbookHow does a diesel engine convert highly compressed air, precisely metered fuel, and controlled combustion into the power that moves trucks, ships, generators, and industrial machinery Diesel Engine Engineering Handbook: Essential Knowledge for Students, Mechanics, and Professional Engineers provides a practical and structured introduction to the principles, systems, components, and diagnostic methods behind modern diesel engines.The book begins with the fundamentals of compression-ignition combustion and thermodynamic cycles, then connects those principles to the mechanical systems found in real engines. You will explore cylinder blocks, crankshafts, valve trains, fuel injection, turbocharging, cooling, lubrication, emissions control, and electronic engine management.Key topics include: - Compression-ignition principles and diesel combustion- Engine architecture and major mechanical components- High-pressure common-rail fuel injection and electronic control- Turbocharging, boost control, and intercooling- Cooling and lubrication systems- Exhaust gas recirculation, particulate filtration, and selective catalytic reduction- Sensors, electronic control units, communication networks, and fault codes- Systematic engine diagnostics and troubleshooting- Common failure patterns and practical fault-finding methods- Diesel engine applications in transportation, marine, and industrial environmentsThe book is designed to bridge the gap between classroom theory, technical documentation, and practical engine diagnostics. Concepts are explained in a way that helps readers understand not only what each system does, but also why it works and how different systems interact.Whether you are studying diesel engineering, preparing for professional certification, working in a repair or diagnostic environment, or developing your understanding of diesel power systems, this handbook provides a solid foundation for studying, troubleshooting, and working with modern diesel engines. …

Taschenbuch. Condición: Neu. Neuware.

Taschenbuch. Condición: Neu. Neuware - Are you looking to understand how modern systems process data instantly, closer to where it is generated Curious about how distributed infrastructure is evolving to support real-time applications without relying entirely on centralized environments This book is written with those exact questions in mind.Edge computing is no longer a niche concept. It is shaping how applications are built, deployed, and scaled across industries. But with that shift comes complexity. How do you design systems that are both responsive and reliable How do you balance performance with cost and operational simplicity And most importantly, how do you build architectures that can grow without becoming unmanageable This handbook provides clear, practical answers grounded in real engineering principles. It walks you through the foundations of distributed edge systems and explains how real-time processing works in environments where latency, bandwidth, and reliability cannot be taken for granted.Inside, you will explore: - core architectural principles that define modern edge systems and how they differ from traditional cloud-centric designs- real-time data processing strategies that reduce latency and improve system responsiveness- scalable infrastructure patterns designed to support growth without sacrificing stability- practical system design approaches for handling intermittent connectivity and resource constraints- security and reliability techniques to protect distributed environments operating outside controlled data centers- performance optimization methods that ensure efficient use of limited compute and network resourcesEach section is written to help you not just understand concepts, but apply them. Whether you are designing new systems or improving existing ones, the explanations focus on clarity, practicality, and real-world relevance.Are you a backend engineer trying to build faster, more resilient systems A systems architect looking to adapt to decentralized infrastructure Or a developer aiming to stay relevant in a rapidly evolving.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. Neuware - Have you ever watched a senior developer fly through their code editor and wondered what you were missing Maybe you've been coding for a while now, but you still feel like you're only using ten percent of what your editor can actually do. You copy and paste when you could be using multi-cursor editing. You scroll for minutes looking for a function when a single shortcut would take you there instantly. You debug with scattered print statements instead of a real debugger. Sound familiar This book was written for exactly that moment of realization the one where you stop and think, 'there has to be a faster, smarter way to do this.' Inside, you'll find a complete, practical walkthrough of everything your code editor can genuinely do for you as a working developer. Not surface-level tips. Not a rehashed list of extensions. A real, structured path from beginner habits to professional-level workflows, covering: - Editor fundamentals most tutorials skip entirely, including multi-cursor editing, smart navigation, and personal snippet libraries- Git and version control, explained clearly enough that merge conflicts stop being terrifying- Real debugging skills, so you can stop guessing and start actually watching your code run- Testing strategies that make your code trustworthy, not just functional- Docker, containers, and remote development, explained in plain language- AI-assisted coding tools, used responsibly and effectively rather than blindly- Security habits that protect your code and your credentials before something goes wrong>Here's the honest truth: most developers never get taught this. They pick up fragments here and there, from random blog posts, from a coworker looking over their shoulder, from trial and error that takes years to add up to real fluency. This book compresses that entire journey into one clear, sequential guide, written the way a patient senior colleague would actually explain it to you without jargon you don't need, and without skipping the details that actually matter. Whether you're a self-taught coder trying to close the gap before your first job, a computer science student who wants to walk into an internship already looking sharp, or a working developer who knows there's a faster way and just hasn't found it yet this book meets you exactly where you are. So ask yourself honestly: are you using your tools, or are your tools using you It's time to change that. Turn the page, open your editor, and start building the kind of workflow that senior engineers spend years discovering by accident. You can learn it deliberately, starting today.…

Taschenbuch. Condición: Neu. Neuware - What if your home could automate itself without relying on cloud subscriptions, remote servers, or a manufacturer's app Modern smart-home products are convenient, but they often come with hidden trade-offs: recurring fees, limited interoperability, privacy concerns, and the risk that a device may stop working when a company changes its platform. This book shows you how to build a smart-home system that you own, control, and understand from the hardware level upward.Designed for makers, engineering students, IT professionals, and advanced hobbyists, this guide provides a complete roadmap for creating a secure, locally managed home-automation platform using a single-board computer as the central controller.Inside this book, you will learn how to: - Install and configure a reliable home-automation hub- Connect temperature, motion, light, humidity, and air-quality sensors- Read wiring diagrams and safely integrate low-voltage devices- Create automation rules that continue operating even during internet outages- Implement local voice control without sending audio to third-party services- Segment your home network to isolate automation devices from personal computers and data- Add cameras, door sensors, and access-control systems with local video processing- Monitor energy consumption and optimise lighting and climate control using real usage data- Expand the system from a single room to a full home, detached building, or multi-unit propertyRather than focusing on a single gadget or app, this book emphasises the engineering principles behind dependable home automation: reliability, redundancy, security, maintainability, and long-term scalability.You will also find: - Step-by-step hardware setup instructions- Practical wiring references- Working configuration examples- Security hardening checklists- Backup and disaster-recovery procedures- Accessibility considerations for ageing-in-place and assisted-living environments- Real-world deployment scenarios, including off-grid and solar-powered installationsWhether you are building your first automation project or designing a distributed system for a larger property, this book provides the technical depth needed to make informed decisions and avoid costly mistakes.By the end of this guide, you will be able to design, deploy, secure, and maintain a smart-home infrastructure that operates on your terms.Take control of your home's automation system and build a solution that remains reliable, private, and fully under your ownership.…

Taschenbuch. Condición: Neu. Neuware - UAV Software Development HandbookWhat happens between the moment a drone's motors spin up and the moment it maintains a stable hover in gusty wind How does a fixed-wing aircraft navigate hundreds of kilometers, execute an autonomous mission, and land with precision without continuous human control UAV Software Development Handbook is a practical guide to the software systems that make autonomous flight possible. Designed for engineers, students, and self-taught developers, this book takes you beyond introductory tutorials and into the architecture, algorithms, and engineering practices behind modern UAV flight systems.You will explore how flight-controller firmware is structured, how real-time operating systems schedule critical control loops, and why precise timing is essential to reliable flight. The book also examines sensor fusion and state estimation, including Kalman filtering techniques for combining accelerometer, gyroscope, and GNSS data into reliable estimates of an aircraft's position, velocity, and attitude.Key topics include: - Flight dynamics and control, including PID tuning and cascaded attitude and position controllers- Navigation algorithms, GNSS integration, dead reckoning, and visual-inertial odometry- Path planning and obstacle avoidance using methods such as A\* and RRT- Trajectory generation and autonomous mission planning- Geofencing and automated mission-safety checks- Companion computers, computer vision, and onboard AI inference- Communication protocols, telemetry, ground-station integration, and fleet coordination- Safety-critical software engineering, redundancy, fault handling, and aerospace standards- UAV cybersecurity, including secure command links and defenses against navigation-related attacksThroughout the book, concepts are connected to practical development workflows and illustrated with code examples in C, C++, and Python. Rather than presenting isolated theories or disconnected techniques, it shows how the different layers of a UAV software stack work together-from low-level flight-control firmware to high-level mission and fleet-management systems.Whether you are developing a fixed-wing aircraft, building an autonomous multirotor, integrating a precision-agriculture payload, or studying the architecture of long-range autonomous systems, this handbook provides a structured foundation for understanding the software behind modern UAVs.A background in programming is recommended, but an aerospace engineering degree is not required. If you want to understand how autonomous aircraft sense, calculate, communicate, navigate, and make decisions, UAV Software Development Handbook provides a practical path from core concepts to complete UAV software architecture.…

Paperback. Condición: new. Paperback. Power Management for Embedded Devices: Building Reliable and Low-Energy Embedded Devices for Modern ApplicationsAre you designing embedded systems that must run longer, consume less energy, and remain reliable under real-world conditions? Have you ever wondered why some devices operate for years on a single battery while others struggle to meet their expected lifespan?Power management is no longer an optional design consideration it is one of the most critical factors determining the success of modern embedded products. Whether you are developing IoT devices, wearable technologies, industrial controllers, wireless sensor networks, edge computing platforms, or battery-powered electronics, understanding how to control and optimize power consumption can dramatically improve performance, reliability, and operational lifetime.Power Management for Embedded Devices provides a practical and comprehensive guide to designing energy-efficient embedded systems from the ground up. Rather than focusing on isolated techniques, this book presents a complete engineering approach that connects hardware design, firmware development, battery technologies, power conversion, energy storage, thermal considerations, and system-level optimization.Inside this book, you will learn how to: - Understand the foundations of power consumption and energy efficiency in embedded systems- Design robust power architectures using voltage rails, regulators, and power domains- Optimize microcontrollers and processors through sleep states, clock management, and dynamic scaling techniques- Build power-aware firmware and software systems that reduce unnecessary energy consumption- Improve efficiency across sensors, actuators, communication interfaces, and wireless networks- Select and manage batteries for maximum performance, safety, and lifespan- Develop effective battery management strategies for modern embedded applications- Design high-efficiency power supplies and conversion systems- Apply dynamic power management techniques that adapt to changing workloads- Integrate energy harvesting technologies and self-powered system concepts- Create low-power IoT and edge computing devices with extended operational life- Measure, profile, analyze, and troubleshoot power-related issues using professional engineering methods- Address thermal management, reliability engineering, security considerations, and compliance requirements- Explore emerging technologies including AI-assisted power optimization, energy-aware intelligent systems, and future low-power computing architecturesThe book combines engineering principles, practical design methodologies, implementation examples, optimization workflows, design checklists, and real-world case studies that help bridge the gap between theory and application.Whether you are a student, electronics enthusiast, embedded developer, systems engineer, researcher, or technology professional, this resource provides the knowledge and practical insight needed to create embedded devices that are efficient, dependable, and ready for the demands of modern applications.If your goal is to design smarter systems that consume less power, operate longer, and perform more efficiently, this book will become an essential addition to your technical library. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. Have you ever wondered how a device small enough to fit in your hand can recognise speech, detect equipment failures before they occur, or identify visual defects in real time without relying on the cloud?Welcome to the world of embedded artificial intelligence, where machine learning models operate directly on resource-constrained devices, delivering fast, reliable, and energy-efficient intelligence at the edge. If you've ever questioned how advanced AI can run on a microcontroller with only a fraction of the memory available on a smartphone, this book provides the answers.TinyML and Edge Intelligence is a comprehensive, hands-on guide to designing, optimising, deploying, and maintaining machine learning applications on embedded systems. Written for engineers, developers, students, and technology professionals, it bridges the gap between machine learning theory and practical embedded implementation with clear explanations, real-world examples, and production-focused techniques.Inside this book, you'll learn how to: - Master embedded AI fundamentals by understanding microcontroller architecture, memory limitations, processing constraints, and power-efficient system design.- Optimise machine learning models using quantisation, pruning, knowledge distillation, and other techniques that reduce memory usage while maintaining performance.- Develop practical AI applications including keyword spotting, predictive maintenance, gesture recognition, anomaly detection, and embedded computer vision with complete implementation examples.- Deploy production-ready solutions through firmware integration, model updates, debugging strategies, performance monitoring, and embedded security best practices.- Design scalable edge intelligence systems that support reliable connectivity, distributed processing, and long-term deployment across real-world environments.Unlike many resources that focus exclusively on machine learning algorithms or embedded programming in isolation, this book brings both disciplines together. Each chapter explains not only how to implement a solution but also why specific engineering decisions matter, helping you develop the practical judgement required to build dependable, efficient, and maintainable intelligent devices.Whether you're an embedded systems engineer expanding your expertise, a machine learning practitioner deploying models beyond the cloud, a student building industry-ready skills, or a technical leader evaluating edge AI solutions, this book provides the knowledge and confidence to build intelligent systems that perform reliably in real-world conditions.By the end of this book, you'll understand how model architecture influences memory consumption, how power budgets shape hardware and software design, how to optimise AI for constrained environments, and how to transform prototypes into robust products ready for deployment.The future of artificial intelligence extends far beyond data centres. It lives in billions of intelligent devices operating at the edge processing data locally, responding instantly, protecting privacy, and delivering reliable performance wherever they're deployed.Build the knowledge. Master the technology. Create the next generation of intelligent embedded systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condición: new. Paperback. Are you curious about how intelligent devices can collect data, learn from it, make decisions, and automate real-world operations without constant human intervention?Have you ever wondered how modern industries predict equipment failures before they happen, how smart buildings optimize energy consumption, or how connected systems transform raw sensor data into valuable business insights?AI-Powered IoT Solutions is a practical and comprehensive guide designed to help you understand, design, build, and deploy intelligent connected systems that combine artificial intelligence with modern device networks. Whether you are an engineer, developer, technology student, researcher, automation professional, or innovation enthusiast, this book provides a structured pathway from foundational concepts to advanced real-world implementations.Rather than focusing solely on theory, this book explains how intelligent systems operate in practical environments. You will learn how devices collect information, how data moves through communication networks, how machine learning models generate predictions, and how automated actions are executed across connected infrastructures.Inside this book, you will discover: - Foundations of intelligent connected systems and modern architectures- Sensor technologies, embedded systems, and data acquisition strategies- Communication protocols, networking concepts, and scalable connectivity solutions- Machine learning and deep learning techniques for connected devices- Edge intelligence and low-power machine learning deployment- Data engineering, streaming architectures, and real-time analytics- Secure system design, privacy protection, and cybersecurity best practices- Cloud-native architectures, microservices, and scalable platform development- Predictive maintenance, forecasting models, and intelligent automation techniques- Human-centered interfaces, conversational systems, and adaptive user experiences- Smart city, healthcare, agriculture, manufacturing, transportation, and energy applications- Deployment methodologies, testing frameworks, optimization strategies, and operational management- Ethical considerations, sustainability principles, and responsible innovation practices- Emerging technologies including autonomous systems, decentralized architectures, next-generation connectivity, and advanced intelligent networksWhy does this book stand out?Because it goes beyond isolated concepts and demonstrates how the complete ecosystem works together. From sensors and embedded devices to analytics platforms and intelligent decision engines, every major component is explained in a clear, practical, and professionally structured manner.You will also explore detailed implementation examples, development frameworks, architecture models, project roadmaps, deployment strategies, glossaries, reference materials, and capstone projects that reinforce real-world understanding.Whether your goal is to build smarter products, modernize industrial operations, develop intelligent infrastructure, create innovative automation solutions, or expand your expertise in one of today's fastest-growing technology domains, this book provides the knowledge and practical guidance needed to move from concept to implementation.If you are ready to understand the technologies shaping the future of connected intelligence, this guide will help you build the skills, confidence, and technical foundation required to create powerful AI-enabled solutions for the modern world. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.