Smart Street Light based on LoRa
Streetlights provide safety and illumination for our roadways and sidewalks, making them an essential part of everyday life. However, they are subject to mistakes and malfunctions just like any other electrical device. Aside from being an annoyance to the general public, this may result in flickering lights, lamp failures, short circuits, or open circuits. Systems for monitoring streetlights are essential for guaranteeing the effectiveness and safety of our roadways. They contribute to the establishment of a well-lit environment for vehicles and pedestrians by identifying and averting flickering lights, lamp failures, short circuits, and open circuits. These systems' data can also help with cost-saving decision-making by supplying information about maintenance and upgrades. To guarantee that their streetlights run smoothly, cities and municipalities must invest in these systems. The management of street lights has been improved because of LoRa-based Street light monitoring.
Nonlinear Aeroelasticity of Wind Turbine Blades
The increasing size and flexibility of wind turbine blades introduce significant aeroelastic effects, potentially causing aeroelastic instability such as edgewise instability and flutter. Current linear models, based on small deflection assumptions, are inadequate for modern large blades that experience significant geometric nonlinearities. Existing cross-sectional analysis models also face issues of inaccuracy and inefficiency.This book develops two key advancements: 1) a cross-sectional model using classical lamination theory and extended Bredt-Batho shear flow theory to accurately and efficiently determine composite blade properties; 2) a nonlinear aeroelastic model incorporating geometrically exact beam theory and a comprehensive load model.Validated through MATLAB and COMSOL Multiphysics, these models show excellent agreement with experimental data. Application to the WindPACT 1.5MW blade reveals reduced flapwise deflection and highlights the higher risk of edgewise instability, underscoring the importance of proper rotor speeds. This book offers vital insights and advanced models for developing reliable, efficient next-generation wind turbines.
Nanoscale Computing
Understand the future of computing with this accessible, wide-ranging introduction to a promising field Miniaturization and the emergence of nanotechnology have together constituted the most revolutionary development in recent decades of computing research and innovation. Nanomagnetic computing and logic have allowed engineers and programmers to move beyond the Complementary Metal-Oxide-Semiconductor (CMOS) and their associated methods into a new world of cutting-edge computing technology. Nanoscale Computing offers the first-ever single-authored textbook on this vital subject, introducing the fundamentals of nanoscale computing, their suitability to the traditional limitations of CMOS computing, and their growing number of applications. The result is a key text for students, professionals, and researchers alike. Nanoscale Computing readers will also find: An emphasis on practical applications, both current and future Detailed discussion of topics including nanomagnetic logic, edge computing, and more End of chapter quizzes and additional tutorials to facilitate learning Nanoscale Computing is ideal for researchers and technology experts, as well as graduate and undergraduate students working in computer science, nanotechnology, magnetics, electronics, semiconductors, electron devices, circuits/systems, and multi-interdisciplinary related fields.
Book of Making 2026
The future is here, and it's digital.It's in the electronics that make devices work: the sensors, the motors, and the logic that controls them. It's in the 3D printed plastic parts, and the CNC-machined wood and aluminium. If you want to build something in the modern age, you need to be thinking digitally.We've rounded up a few of our favourite makes previously published in HackSpace magazine (which is now part of Raspberry Pi Official Magazine), which should keep you entertained for an afternoon, a weekend, or longer.Discover your new favourite hobbyLearn the digital skills that make the world go roundTry your hand at 3D printing, electronics, programming, and moreDiscover projects that you can do in an hour, afternoon, or weekendTechnology isn't just something you buy -- you can build it yourself! With a bit of know-how you can 3D print jigs for more accurate woodworking, build your own custom games controller, add artificial intelligence to an old phone, or anything else you put your mind to. Whether you're new to programming with electronics or you're just getting started, there's a project in here for you. Fire up your 3D printer, soldering iron, or Raspberry Pi, and start making!
Green Building Technologies
The emergence of environmental concerns has become increasingly important year by year, necessitating more in-depth studies on the energy demands of buildings, primarily related to indoor climate control systems. In Algeria, the residential and tertiary sectors are among the most energy-intensive. During the summer, residential buildings face significant discomfort caused by overheating, exposure of facades to intense solar radiation, and irrational and excessive electricity consumption for air conditioning. Thermal conditions within buildings are a crucial factor for occupant comfort, as extreme temperatures whether hot or cold can lead to considerable discomfort for individuals. This book focuses on evaluating the hygrothermal comfort of buildings influenced by vegetative screens in the arid climate of Ouargla. The findings from this study confirm the passive cooling potential of green roofs and emphasize the importance of protecting roof surfaces from intense solar radiation during the summer in arid climates.
Miniaturized Electrochemical Devices
Evidently, electrochemical sensing has revolutionized the electroanalytical detections in the world. Since 19th century, huge amount of growth is visible on various fronts, such as biosensors, energy devices, semiconductor devices, communication, embedded systems, sensors etc.
Environmental Productivity of Energy Sources
This book shows that the environmental productivity of energy sources, from a global perspective, can help the planet in a virtuous transition of the global energy matrix from its current composition, with a preponderance of conventional fossil energy sources, to renewable energy systems, provided that policymakers can align energy policies with minimum environmental productivity requirements. The author argues that it is important to help decision-makers and energy users understand the general sense of "ecological footprints" and the planet's limits in regenerating ecosystems. In order to reduce pressure on the atmosphere and the biosphere, this book also discusses that it is essential that public energy prices reflect the real costs incurred.
Application of Crowdsourcing to Generate Datasets
The book discusses the application of Crowdsourcing in data collection highlighting its effectiveness in generating data sets. Although there was a lack of a general guide or method for this purpose, the author compiled elements from several studies to propose a proprietary method that can generate accurate data sets, highlighting that human participation introduces some errors that are corrected by an evolutionary algorithm that implements data quality control. To deploy the proposed method, a web application was developed to support it and data from the Electronic Public Procurement System in Colombia (SECOP) was used, which stands out as a valuable source, even more complete than that of some European Union countries. In summary, the book provides answers to how to generate datasets of public procurement processes using Crowdsourcing, although it points out the need to address quality issues in such datasets in future work.
Sustainable Digital Technologies for Smart Cities
This book focusses on recent and emerging techniques for enhancement of smart healthcare, smart communication, and smart transportation system. It covers topics ranging from Machine learning techniques, IoT, Security aspects of medical documents, Performance of various protocols used in the communication and transportation environment.
DSC Configuration Using the PSIM/SimCoder Tool
This work presents the study of elements of the PSIM simulation software, used to generate code in C language. The SimCoder blocks can be configured and used in switching converter simulations. The generated code can be imported into the Code Composer Studio v5.1 program, without having to make any modifications or adjustments to the code. SimCoder presents these blocks for implementing digital control for a Digital Signal Controller (DSC) from Texas Instruments, the TMS320F28335, a floating point controller. Using the SimCoder blocks, you can configure PWM outputs, analog inputs, digital inputs and outputs, among other options found in the DSC. After studying switched converters, simulations are carried out with the blocks mentioned, codes are generated and tests are carried out with the DSC and the NPCm, a three-level bidirectional converter. Finally, the results obtained experimentally are presented, showing the waveforms of the DSC and the converter used, verifying the operation of the codes generated.
High-Performance Adaptive Control of Teleoperation Systems
Within a unified switched-control framework, this book investigates the high-performance control designs and theoretic analyses for teleoperation systems, including the joint space and task space teleoperation, the homogeneous and heterogeneous teleoperation, and the single-master single-slave and multi-master multi-slave teleoperation.
FinFET Devices for VLSI Circuits and Systems
The book provides the basic theory and operating principles of FinFET devices and technology. Accordingly, the book systematically presents an overview of FinFET device architecture and manufacturing processes, detailed formulation of FinFET electrostatic and dynamic device characteristics for IC design and manufacturing.
Antennas for Industrial and Medical Applications with Optimization Techniques for Wireless Communication
The text explains the designing of metamaterials microstrip patch antennas for medical applications, photonic crystals of millimeter wave signals for 5G communications, dual-band miniaturized circular antennas for wireless networks, and ultra-thin compact flexible antennas for wearable applications.
Device Circuit Co-Design Issues in FETs
This book will provide an overview of emerging semiconductor devices and their applications in electronic circuits, which form the foundation of electronic devices. The area of low-power devices and circuits has gained popularity on a global basis due to the need for the current scenario of the IC industry.
Development of an LVDT and datalogguer for phytomonitoring
Sensing plays an important role in agriculture due to the growing demand for food and the difficulty of measuring or diagnosing behaviours that designate a problem or optimise crop development. Precision agriculture provides an evolution in this concept, as this model of cultivation involves the insertion of systems capable of estimating control parameters. However, the purpose of this work is to present the construction of an LVDT transducer, along with its operating principle and information on the development process, test modelling and the response of positioning signals from the LVDT core.
Vibration and sound radiation for large underwater structures
Radiated noise is an important index for evaluating the operational performance and ability of survive of submarines, and also the main factor to destroy the acoustic stealth performance. Prediction of the vibration and sound radiation of underwater structures is an important basis of vibration and noise reduction designing. Prediction of the vibration and sound radiation of underwater structures is an important basis of vibration and noise reduction designing. Therefore, improving the computational efficiency of sound and vibration prediction of large underwater structures without losing accuracy is of great significance for the development of submarine acoustic stealth technology.
Adaptive Filtering - Recent Advances and Practical Implementation
The chapter "Adaptive Filtering - Recent Advances and Practical Implementation" explores the latest developments in adaptive filtering techniques, focusing on their practical applications. It begins by defining adaptive filtering and its significance in various fields such as telecommunications, audio processing, and noise cancellation. The chapter highlights key algorithms, including Least Mean Squares (LMS) and Recursive Least Squares (RLS), discussing their advantages and limitations. Recent advancements in machine learning and neural networks are also emphasized, showcasing how these technologies enhance adaptive filtering performance. The chapter further addresses real-world challenges in implementing these algorithms, including computational complexity and system stability. Practical examples are provided to illustrate the effectiveness of adaptive filters in dynamic environments. Additionally, the importance of hardware considerations and software optimization for successful implementation is discussed. Overall, the chapter underscores the growing impact of adaptive filtering technologies in modern systems while pointing out future research directions.
Optimization of Photovoltaic Systems in Arid Zones
This book examines the obstacles and solutions associated with implementing solar energy in Algeria's desert territories, highlighting the influence of the environment on the performance of photovoltaic devices. It then examines the negative impacts of dust and sand on solar panels, based on an analysis of current research into maintenance techniques and technologies aimed at optimizing their efficiency. Finally, the book presents an experimental study that evaluates the direct effect of dust accumulation on the energy performance of solar panels, revealing a significant decrease in their yield.
Energy Storage and Conversion
The increasing global population and energy consumption have led to a rapid rise in the usage of fossil fuels in recent years. Consequently, there has been a significant increase in greenhouse gas emissions, which had detrimental effects on aquatic and animal life as well as the ecosystem. To address this problem, efficient energy storage and conversion devices with no greenhouse gas emissions, such as batteries, supercapacitors, and fuel cells, are becoming popular.The development of suitable materials is essential for making efficient energy storage and conversion devices. Thus, this book is organized to highlight significant breakthroughs in energy storage and conversion systems, focusing on material development.This book includes 12 researches. For energy storage devices, material research on lithium-ion batteries and supercapacitor is described. Studies on solar cells and solid oxide fuel cells for energy conversion devices are also revealed. Additionally, phase change materials are also introduced as a different type of energy storage devices.This book will make a substantial contribution in developing efficient energy storage and conversion devices.
On the Scattering Behavior of Dielectric Corner Reflectors in Distributed Radar Systems
Advanced driver assistance systems heavily rely on radars for environmental sensing, mostly without fully exploiting the advantages of distributed systems. This work, therefore, provides methods for direct velocity vector estimation and experimental validation by introducing a quasi-coherent bistatic measurement setup. Cars as complex radar scatterers are analyzed regarding their bistatic radar cross section. Further, a novel retroreflective target, the dielectric corner reflector, is presented and modeled for use as a calibration object for distributed radar systems.
Solar Power Forecasting Through Machine Intelligence
Solar energy is a very promising and renewable form of energy that can fulfill a substantial amount of the world's energy needs. Nevertheless, the sporadic character of renewable energy sources, caused by variables like weather patterns and time of day, presents obstacles to consistent energy production and integration into the power system. To tackle these difficulties, this study suggests an innovative method that utilizes computer vision and machine intelligence approaches to forecast and enhance the production of solar energy. The suggested approach entails the amalgamation of data-driven methods from the fields of computer vision and machine learning. Early information on climate, solar-oriented radiation, and solar-powered charger execution is gathered from various sources. PC vision calculations utilize satellite information or ground-based pictures to remove overcast cover, development, and other climatic qualities. The hour of day and season are added to visual information to deliver a full dataset. The dataset trains AI frameworks to gauge solar irradiance and energy creation.
Multiple 3-phase Fault Tolerant Permanent Magnet Machine Drives
Groundbreaking analysis of a fully functional fault-tolerant machine drive Electrical machine drives have become an increasingly important component of transportation electrification, including electric vehicles, railway and subway traction, aerospace actuation, and more. This expansion of electrical machine drives into safety-critical areas has driven an increasingly urgent demand for high reliability and strong fault tolerance. Machine drives incorporating a permanent magnet (PM)-assisted synchronous reluctance machine drive with a segregated winding have shown to exhibit notably reduced PM flux and correspondingly enhanced fault tolerance. Multiple 3-Phase Fault Tolerant Permanent Magnet Machine Drives: Design and Control offers one of the first fully integrated accounts of a functional fault-tolerant machine drive. It proposes a segregated winding which can be incorporated into multiple machine topologies without affecting performance and brings together cutting-edge technologies to manage these crucial drives in both healthy and fault conditions. The result is a must-own for engineers and researchers alike. Readers will also find: Advanced modeling techniques for different operation conditions Detailed discussion on topics including fault detection techniques, postfault tolerant control strategies, and many more An authorial team with immense experience in the study of fault-tolerant machine drives Multiple 3-Phase Fault Tolerant Permanent Magnet Machine Drives: Design and Control is ideal for researchers and graduate students in engineering and related industries.
Study of Thermo-Gravitational Separation in Porous Media
This paper explores the thermogravitational separation of binary fluid mixtures in porous media, focusing on the interplay between convection and thermodiffusion. The study aims to optimize this separation using an innovative experimental configuration: a horizontal cavity subjected to a constant vertical heat flux.The first chapter presents the theoretical foundations of thermogravitational diffusion, discussing the contributions of pioneers such as Ludwig and Soret, as well as the importance of porous media. The second chapter examines thermogravitation in a vertical cell, revealing that significant separations can be achieved, although the optimal cell thickness is very small, complicating its practical application.The third chapter introduces the horizontal configuration, demonstrating that it achieves similar levels of separation, but with larger cell dimensions, thus facilitating experimentation. The results underline the importance of coupling convection and thermodiffusion to maximize separation efficiency.
Information Systems Implementation in Developing Country Contexts
The books is situated within the information information systems in developing countries sub-field. It takes an in-depth look at information systems implementation in developing country contexts using the idea of historicity and contexts which is rooted in everyday life phenomenology. It explains how social realities that influence information systems implementation are created and how they influence the outcomes of information systems implementation projects. By building on the idea of historicity, the book presents an elaborate analysis of how four social actors namely, consociates, contemporaries, predecessors and successor social construct social realities over a period of time. The idea reinforces the notion that organizations are embedded in both internal and external environments that are socially constructed by those that act within the environments.
Desalination Unit Powered by solar energy system
Decreasing the fresh water prices has also been a big concern within the desalination industry. The need for alternatives to providing clean drinking water increased exponentially with a mix of contributing issues such as overpopulation and changes in the environment and climate. Desalination is a feasible option for Egypt's coastal areas due to the availability of brackish water and seawater sources, and the potential to dispose of brine in coastal waters. In Egypt, grid electricity penetration in rural areas is limited, and is sometimes intermittent even then. Water collected from groundwater wells in new Egyptian communities is brackish, and typically non-potable. In this paper, the feasibility of connecting the grid desalination plant with a solar photovoltaic or wind turbine is studied, with the goal of producing low cost electricity in a sustainable manner. Using SAM 2018.11.11 r4 software package, a comprehensive mathematical models for the Photovoltaic powered Reverse Osmosis (PVRO) and Wind Turbine Reverse Osmosis (WTRO) system have been implemented and designed from an economical point view improving the system recovery rate and product quality.
Smart Agriculture
This book is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios.
Planar antennas and miniaturization techniques
In this book, in order to miniaturize planar antennas, we have used the following techniques: the first technique consists in loading a rectangular dielectric resonator antenna (ARDR) with a BST material of very high dielectric permittivity, and we are interested in the modeling and electromagnetic analysis of the antenna before and after stacking with this material. The proposed antenna operates around 2.31 GHz and provides an impedance bandwidth of 20 MHz. The second miniaturization technique used is the ground plane defect structure (GDS), where two microstrip antennas have been fabricated; the first antenna has a narrow bandwidth (272 MHz), while the second, which has a smaller patch area and an overall size of 10 ? 6 mm簡, has a wide bandwidth (greater than 1 GHz). To validate the numerical results, measurements were carried out, with satisfactory results. The three projects discussed clearly demonstrate the importance of these two techniques in the miniaturization of planar antennas.
A Study on a Solar Photovoltaic Driven Irrigation System in Ethiopia
The demand for electricity is increasing throughout the world, which results in higher energy cost and additional greenhouse gas emissions. The world is facing energy crisis and critical environmental issues such as the greenhouse effect, global warming and pollution. In order to limit and reduce the environmental degradation, the encouragement of the development of renewable energies powered system and green technologies are necessary. Solar, wind, biomass, hydro and all the various renewable sources of energy are not cause any environmental pollution. Among all these, solar is one of the most abundant sources of energy.
AI and Emerging Technologies
Artificial Intelligence (AI) has made significant advancements in various sectors of society.The utilization of AI brings forth crucial legal, ethical, and technical concerns and obstacles that must be appropriately addressed through thoughtful deliberation, discussions, and the implementation of effective regulations.
Sensors and Transducers
A transducer is a device that converts one form of energy into another, often for the purpose of measurement or information transfer.Transducers are commonly used in automation, measurement, and control systems.Here are some examples of transducers: - Microphone: Converts sound waves into electrical signals- Loudspeaker: Converts electrical signals into soundwaves- Thermometer: Converts energy into a form that can be measured- Position and pressure sensors: Convert energy into a form that can be measured- Antenna: Converts energy into a form that can be measuredThe process of converting one form of energy into another is calledtransduction.The Block Diagram is shown here.
How to Diagnose and Fix Everything Electronic, Third Edition
Comprehensive and accessible--perfect for mastering the fundamentals of fixing electronics without taking a formal courseHow to Diagnose and Fix Everything Electronic, Third Edition details how to repair consumer electronics products ranging from modern digital devices to some older technologies. Filled with expert insights, case studies and sleuthing techniques from a former professional technician, it provides great guidance on how to assemble a workbench, operate the latest test equipment, zero in on and replace malfunctioning components, and perform reassembly.This is a comprehensive guide for anyone seeking to better understand electronic products, from stereos and flat-screen TVs to laptops and mobile devices. This new edition includes expanded introductory explanations helping novices dig in with less difficulty and advance to more involved circuit concepts as their understanding grows. It also includes new material about hot-air soldering stations and reflects changes in soldering and repair techniques needed for today's surface-mounted componentry. Unlike tear-down tutorials on the internet, this book guides its readers into thinking like a pro, understanding how items actually work, rather than focusing on specific models of devices. Also new to this edition is a discussion of lithium-ion batteries, which power most modern electronics.Accessible guide to electronics repair for the curious hobbyistProvides useful troubleshooting techniques for those in electronics trade programsNew edition cuts out obsolete items like CRT TVs and VCRs, and continues with the most current trends in electronics
Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility.
Recent Trends In Engineering and Science for Resource Optimization and Sustainable Development
The Conference was conducted by Birla Institute of Technology Mesra, Jaipur, India. It provided a unique opportunity to interact with researchers, academicians, scientists, and specialists in the various research and development fields of Biotechnology and Bioengineering, Management, Animation, Science and Technology across the globe.
Noise-Aware Quantum Circuit Simulation with Decision Diagrams
This book provides an easy-to-read introduction to quantum computing, as well the classical simulation of quantum circuits with common types of error effects. The authors showcase the enormous potential that can be unleashed when doing these simulations using decision diagrams-a data-structure common in the design automation community, often used in quantum computing design tasks. The algorithms and methods described can outperform previously proposed solutions in some cases, providing a complementary solution to established approaches. Finally, the necessity of noise-aware classical quantum circuit simulation is demonstrated through a practical use-case: the evaluation of quantum error correcting codes.
Direction of Arrival Estimation Methods and Applications
This work presents an in-depth study on the Direction of Arrival (DOA) estimation methods for underwater acoustic broadband signals, addressing the challenges posed by complex marine environments and the need for accurate signal processing in various applications such as sonar systems, underwater communication, and ocean exploration. The research encompasses traditional DOA estimation techniques, the integration of vector hydrophones, and the application of deep learning methodologies to enhance the accuracy and efficiency of DOA estimation in underwater environments.
Wireless Power Technologies for Biomedical Devices
Discover ground-breaking advancements in wireless biomedical device technology with our comprehensive book, which delves into the latest innovations revolutionizing Healthcare Chapter 1 introduces wireless power transfer (WPT) techniques, offering a solution to the frequent battery replacements required by cardiovascular implantable medical devices (cIMDs). Explore how WPT holds the promise of long-term functionality for these life-saving devices, ushering in an era of more efficient and convenient healthcare solutions. In Chapter 2, explore the world of energy harvesting for cardiovascular implants. From Triboelectric Nanogenerators (TENG) to Biofuel cells, discover how self-powering devices are reshaping the landscape of cardiovascular healthcare, reducing the need for battery replacements, and enhancing patient convenience. Chapter 3 unveils the potential of magnetoelectric composites in wireless power transfer for biomedical applications, while Chapter 4 sheds light on the competency of Triboelectric Nanogenerators in wireless device applications, offering a sustainable alternative to traditional batteries. Chapter 5 showcases the promise of photovoltaic energy scavenging for implantable medical devices, highlighting its potential to revolutionize healthcare with higher-power conversion efficiencies and smaller form factors. Explore the realm of ultrasound-based wireless powering technologies in Chapter 6, offering insights into the physics of acoustic powering and the design considerations for ultrasonically powered devices. Chapter 7 ventures into the realm of smart contact lenses, discussing their transformative potential in healthcare, augmented reality, and personalized computing. In Chapter 8, dive into the research gap for Single Input, Single-Output (SISO) state-of-the-art biomedical devices, exploring the challenges and opportunities in charge pump converters and multi-output converters. Finally, Chapter 9 explores power management integrated circuits for implantable devices, focusing on energy efficiency and optimal power usage to prolong device life and minimize power loss. With contributions from leading experts in the field, this book is an indispensable resource for researchers, engineers, and healthcare professionals alike, shaping the future of implantable medical devices and advancing patient care worldwide.
The Future of Computing
The Future of Computing: Ubiquitous Applications and Technologies explores the transformative power of ubiquitous computing across diverse fields, from healthcare and smart grids to home automation and digital forensics. Ubiquitous computing, which seamlessly integrates computing into everyday life, is reshaping industries and addressing significant challenges, such as data security, digital payments, and IoT optimization. This book provides expert insights and practical approaches, covering topics such as automated medical imaging, federated cloud assessments, smart grid security, and AI-driven control systems. Key Features: - Foundational and advanced concepts of ubiquitous computing across multiple industries.- Security structures in IoT, AI applications, and data privacy.- Real-world applications, including healthcare automation, smart homes, and digital forensics.- Case studies on emerging trends in IoT, AIoT, and smart grid security.
The PLC Programming Guide For Beginners
Unlock the world of Programmable Logic Controllers (PLCs) with our comprehensive book, 'The PLC Programming Guide For Beginners.' Whether you're a novice looking to enter the field of industrial automation or an experienced engineer seeking to enhance your skills, this book is your ultimate resource. Discover the foundational principles of PLC programming, from understanding the basics of PLCs to delving into various programming languages, including ladder logic and structured text. Explore real-world examples and scenarios that provide practical insights into PLC applications in manufacturing, robotics, and beyond. Our book covers everything from PLC hardware components to advanced networking and communication protocols, ensuring you have a solid grasp of PLC technology. Learn how to implement safety measures, troubleshoot PLC systems effectively, and conduct simulations for error-free programming. With a dedicated chapter on the future of PLC programming, you'll stay ahead of industry trends and emerging technologies. Prepare yourself for the next generation of industrial automation, including the integration of Artificial Intelligence (AI) and the Internet of Things (IoT). Whether you're aiming to secure a job in the field or optimize industrial processes, 'The PLC Programming Guide For Beginners' equips you with the knowledge and skills needed to excel. Take your first step toward becoming a PLC programming expert today!
Ground Based Synthetic Aperture Radar
Explains the fundamentals of Ground Based Synthetic Aperture Radar, the principles of Synthetic Aperture Radar (SAR) image generation, and Interferometric SAR (InSAR) processing for observation of small ground surface deformation less than 1 mm, and gives examples of GB-SAR used for landslide monitoring, its potentials, and its limitations.
Intelligence in Chip: Integrated Sensors and Memristive Computing
Intelligence in Chips: Integrated Sensors and Memristive Computing is an authoritative resource that navigates the exciting landscape of in-memory computing, neuromorphic circuits, and memristive technologies. This book curates expert insights from leading researchers like Abu Sebastian, Alex James, Alon Ascoli, Arindam Basu, Cory Merkel, Fernando Corinto, Jason Eshraghian, Rainer Waser, Spiros Nikolaidis, Stephan Menzel, and Vishal Saxena, highlighting some of the important contributions in the field. Through a comprehensive collection of talks, readers will gain deep insights into how memristive neural computing is revolutionizing artificial intelligence.The book covers the latest innovations in memristor array computing, brain-inspired circuits, neuromorphic event-driven vision, bio-inspired computing, and nonlinear phenomena in biological systems. Each chapter is authored by a distinguished expert, offering a multi-perspective analysis on how emerging technologies are pushing the boundaries of edge-AI and mixed-signal hardware.Whether you're a researcher, engineer, or student, this book is an essential guide that explores the confluence of circuit theory, artificial intelligence, and memristor technology, providing readers with practical methodologies and visionary outlooks for the future.
Combining Artificial Intelligence with TRIZ
The methods of modern innovative design are full-scale vertical and horizontal integration and the principles and methods of achieving an ideal final result should most likely turn into the principle of complex selection of autonomous functional components of the object for horizontal and vertical layout integration.Since pure invention does not exist in the modern innovation process, at least one of the elements of integration should be the principle of commercial feasibility for horizontal and vertical integration.
Fundamentals of Robotics
In an era where robotics is reshaping industries and redefining possibilities, "Fundamentals of Robotics: Practical Case Studies with Matlab & Python" emerges as an essential guide for both aspiring engineers and seasoned professionals.
BIM and 3D GIS Integration for Digital Twins
This book offers a framework for how the geospatial and surveying industry can create and integrate BIM with GIS to capture, manage, analyze, and display the physical and functional characteristics of a facitility. Using practical implementation methods, readers will merge GIS data with BIM data to enable digital twins.
Ultimate Microsoft Power Automate Desktop
Automate tasks, streamline workflows, and maximize efficiency using Microsoft Power Automate Desktop. Book DescriptionUltimate Microsoft Power Automate Desktop delivers a comprehensive, hands-on guide, taking you from foundational concepts to advanced automation strategies that drive real impact in your organization. This book goes beyond the basics, offering an immersive learning experience that spans from RPA fundamentals to mastering Power Automate Desktop's most powerful features. Whether you're automating day-to-day tasks or implementing advanced cognitive services, this guide equips you with the practical skills to streamline processes, optimize performance, and innovate at scale. By working through each chapter as a live exercise, you'll build automation solutions in real-time, turning theory into immediate, actionable outcomes. Dive into advanced techniques like integrating Cognitive Services, leveraging Copilot, and deploying multiple GPT scenarios to enhance your automation workflows. Learn to troubleshoot complex challenges, utilize best practices, and push the tool's limits to achieve seamless automation, even in situations where traditional methods fall short. Table of Contents1. Introduction to RPA and Power Automate Desktop2. Getting into Action with PAD3. Debugging the Desktop Flows4. Essential Elements of a Desktop Flow5. Building Blocks of a Desktop Flow6. Automating Common Applications7. File Management and Data Manipulation8. Beyond Conventional Automation Techniques and Strategies9. Leveling Up Your Automation Workflows10. Intelligent Automation via PAD11. Development Best Practices12. Extending the Landscape of Your Desktop Flows Index
Explainable Machine Learning for Geospatial Data Analysis
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and how they are applied to solve various environmental problems from forestry to climate change.
Spatial Intelligence for a Greener Planet
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution.
