This book is an essential guide to analysis and design of tall buildings and foundations. The book covers the basic consideration of tall buildings, selection of a suitable structural form, structural materials, and analytical methods for several types of construction loadings. The last chapter of this book presents an illustrated case study for learners. An appendix of different structural analysis calculations rounds up the book. The detailed analysis and learning material presented in the book is intended to enable readers to master the basics and understand how to execute practical civil engineering projects. Key features: - Covers the essentials of skyscraper design and construction in detail with a focus on learning. - Covers building modelling parameters and criteria with design reports and computer inputs. - Includes analysis and notes for foundation layout, loadings and the excavation and lateral support system (ELS). - Includes more than 250 detailed illustrations of concepts, construction plans and photos from real projects. - Includes references and appendices for advanced readers. - Includes more details than most of the similar texts, with practical guidelines based on references from many buildings and foundation projects. The authors have extensive research and practical experience of buildings and foundation analysis and design in Hong Kong, and have actively served as regional engineering committee members overseeing structural and foundation disciplines.

Robotics and Automation in Industry 4.0 explores the transformative role of robotics, automation, and emerging technologies in the modern industrial landscape. The book is divided into four comprehensive sections, each focusing on key areas of Industry 4.0. These are: 1) Robotics: Applications and Advancements, 2) Renewable Energy Applications, 3), FinTech, and 4) Multidisciplinary approaches. It compiles 13 chapters offering insights into the latest advancements and provides practical guidance for navigating the evolving industrial landscape.

Smart Kinematics for Modern Engineering Students is an essential reference on basic kinematics. The book provides detailed knowledge on coordinate transformations for matrix calculations, followed by information about different configurations in component pairs and joints. Readers will learn about the basic mechanical engineering methods used to design components for systems with moving parts along with various practical applications of these concepts. Key Features - Provides-In-depth knowledge of 3D vector calculations in kinematics - Includes descriptions and depictions of major joints commonly used in engineering designs and applications - Discusses common methods of optimization for solving multivariable systems of highly nonlinear equations using displacement models - Presents practical examples of analysis applied to commonly used mechanical system - 6 DOF robotic arm and moving platform - A generic Light Manufacturing Tool (LMT) - Phantom DOF devices - Temporomandibular joint (TMJ) as a biomechanical joint - Include scientific references The material in this book will be helpful to undergraduate and graduate engineers who are required to understand knowledge about modern methods in mechanical engineering, including prerequisite courses in advanced linear algebra, kinematics and complex systems.

This volume explores diverse applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Key highlights of this volume include topics on engineering for underwater navigation, and computer vision for healthcare and biometric applications. Chapters 1-4 delve into innovative signal detection, biometric authentication, underwater AUV localization, and COVID-19 face mask detection. Chapters 5-9 focus on wireless pH sensing, differential pattern identification, economic considerations in off-grid hybrid power, high optimization of image transmission, and ANN-based IoT-bot traffic detection. Chapters 10-12 cover mixed-signal VLSI design, pre-placement 3D floor planning, and bio-mimic robotic fish. Finally, Chapters 13 and 14 explore underwater robotic fish and IoT-based automatic irrigation systems, providing a comprehensive overview of cutting-edge technological advancements. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

This volume covers a wide array of topics related to research, technology and sustainability for technology researchers and educators. Chapter 1 explores the detection of fake news in a distributed environment. Material science is covered in Chapter 2, which explains the influence of MOS2, B4C, and graphite on the mechanical and dry sliding wear behavior of aluminum 7075 hybrid matrix composites. Chapter 3 focuses on sensors and antennas for smart sensor networks. Chapters 4 to 8 delve into various aspects of electrical and computer engineering, including induction motor condition monitoring, automatic conversion of building plans to graphs for robot navigation, and analysis of defects in microscopic and electroluminescent images using AI and image processing algorithms. Chapters 9 to 16 cover topics such as missing data prediction techniques, breast cancer diagnosis on mammography, groundwater contamination, biofertilizers, organic farming, and remediation using organisms. Sustainable development is a key theme in Chapters 17 to 26, addressing issues like sensor-based vehicle fuel theft detection, waste management techniques, bioremediation of soil contaminated with heavy metals, sustainable agriculture practices, and novel approaches in bioplastics and nanoremediation. Finally, Chapters 27 to 29 touch upon renewable energy and Industrial IoT, discussing research challenges in renewable energy sources, recent trends, and the transformation brought about by the Industrial Internet of Things.

This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

This book focuses on cases and studies of interest to mechanical engineers and industrial technicians. The considered applications in this volume are widely used in several industrial fields particularly in the automotive and aviation industries. Readers will understand the theory and techniques which are used in each application covered in each chapter. Volume 3 includes the following topics: Numerical simulations of three-dimensional laminar mixed convection heat transfer of water-based-Al2O3 nanofluid in an open cubic cavity with a heated block. Nonlinear formulations of Element-Free Galerkin Method (EFGM) for large deformation analysis of Ogden’s hyperelastic materials, emphasizing incompressibility and mesh distortion avoidance. Development of a 3D numerical model with LS-DYNA using a coupled SPH-FEM method to simulate hydraulic behavior of a Ski-Jump Spillway with dentates, showcasing precision through validation. Exploration of enhancing the inlet system of an LPG-H2 fueled engine using a static inclined blade turbine, analyzed through Computational Fluid Dynamics (CFD) simulations. Effective utilization of Artificial Neural Networks (ANN) in heat transfer applications, addressing issues like fouling in heat exchangers, showcasing their accuracy compared to experimental data. Investigation of the impact of nitrogen concentration on the structure and properties of ZrN coatings deposited by magnetron sputtering, evaluating variations in structural and mechanical properties. Forced convection in a horizontal cylindrical pipe with pseudoplastic fluid, considering uniform constant heat flux and uniform temperature as boundary conditions. Modeling and experimental study of a water solar collector coupled to an optimized solar still, aiming to enhance freshwater production in a solar distillation system under specific climatic conditions. Exploration of the effect of film thickness on the structure and properties of Ti-N films deposited by magnetron sputtering, utilizing theoretical and experimental analysis to confirm the rock salt TiN structure. The presented case studies and development approaches aim to provide readers with basic and applied information broadly related to mechanical engineering and technology.

This text book provides a quick and easy understanding of multistage interconnection networks (MINs) for engineers. The book contents focus on the design, performance metrics, and evaluation of these networks which are crucial in modern computer architecture. The contents equip engineering students, apprentices and professionals with in-depth knowledge and analysis of MINS, enabling them to build complex computer architectures for efficient data communications and cost effective solutions for circuit design. The book starts with an introduction to MINS and subsequently progresses to the evaluation of a range of MINS (SEN, Gamma-Minus, FTSN, FTGN, SEGIN). Key highlights of the book include: Easy to understand notes on design, reliability and fault tolerance Covers a wide range of MIN types with notes on design variants Supplementary information aiding comprehension of the main content. A curated list of references for further exploration and deeper understanding.

This book focuses on cases and studies of interest to mechanical engineers and industrial technicians. The considered applications in this volume are widely used in several industrial fields particularly in the automotive and aviation industries. Readers will understand the theory and techniques which are used in each application covered in each chapter. Volume 2 includes the following topics: Numerical investigation of turbulent slot jets with various nanoparticle shapes Experimental study on a sweeping gas membrane distillation unit Development of design processes for multi-spindle drilling using a neural network and expert systems Experimental investigation of a new hybrid solar collector (PV/t) system Theoretical study of the effects of combustion duration on engine performance Effects of preheating temperature and fuel-air equivalence ratio on pollution control in hydrocarbon combustion Numerical study of natural convection between two concentric ellipses with different shapes and imposed temperatures Theoretical study of the geometrical parameters effect on the behavior of a solar chimney power plant Numerical investigations of the effect of packed bed porosity on the flow behavior Comparison between a conventional and a four-stage Savonius wind rotor The presented case studies and development approaches aim to provide readers with basic and applied information broadly related to mechanical engineering and technology.

Intelligent Systems for IoE Based Smart Cities provides simplified information about complexities of cyber physical systems, the Internet of Everything (IoE) and smart city infrastructure. It presents 11 edited chapters that reveal how intelligent systems and IoE are driving the evolution of smart cities, making them more efficient, interconnected, and responsive to the needs of citizens. The book content represents comprehensive exploration of the transformative potential and challenges of IoE-based smart cities, fueled by Artificial Intelligence (AI) and Machine Learning (ML) innovations. Key Topics: Physical layer design considerations that underpin smart city infrastructure Enabling technologies for intelligent systems within the context of smart computing environments Smart sensors and actuators, their applications, challenges, and future trends in IoE-based smart cities Applications, enabling technologies, challenges, and future trends of IoE for smart cities. The integration of Artificial Intelligence, Natural Language Processing, and smart cities for enhanced urban experiences machine learning-based intrusion detection techniques for countering attacks on the Internet of Vehicles Smartphone-based indoor positioning applications using trilateration and the role of sensors in IoT ecosystems IoT, blockchain, and cloud-based technology for secure frameworks and data analytics Blockchain and smart contracts in shaping the future of smart cities. This is a timely reference for researchers, professionals, and students interested in the convergence of IoT, intelligent systems and urban studies into smart city planning and design.