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Civil Engineering, Material and Smart Buildings: New Technologies in Cities' Infrastructures
As cities continue to grow and evolve, the challenges of building sustainable, resilient, and efficient urban environments have never been greater. This comprehensive volume presents cutting-edge research and innovative solutions in the fields of construction, materials science, and civil engineering. With contributions from leading experts and researchers, this book explores the transformative role of new technologies, sustainable materials, and advanced methodologies in shaping the future of cities worldwide.Part 1: New Ideas and Innovations in City Structures showcases groundbreaking research in areas such as manganese enrichment from mining tailings, the integration of machine learning in civil engineering, and the harmonious blend of mathematics and aesthetics in urban design through Moroccan and Andalusian tiling. These innovations push the boundaries of what’s possible in urban planning and construction, offering insights into the future of city development.Part 2: Construction and Materials delves into the practical applications and challenges of using sustainable materials like Ferrock concrete, recycled asphalt pavement, and fiber-reinforced polymers (FRP) for structural reinforcement. With a focus on durability and environmental impact, this section provides a thorough review of current best practices and emerging technologies that promise to revolutionize the construction industry.Part 3: Testing and Technologies in Urban Infrastructure highlights the latest testing techniques and technologies used to evaluate and improve the safety, efficiency, and sustainability of urban buildings and infrastructure. From seismic performance in reinforced concrete structures to the development of zero-energy buildings, this section offers a detailed analysis of the cutting-edge methods that are driving innovation in modern cityscapes.This book is an essential resource for professionals, researchers, and students in civil engineering, urban planning, and materials science. By exploring both theoretical concepts and real-world applications, " Civil Engineering, Material, and Smart Buildings: New Technologies in Cities' Infrastructures" provides valuable insights into the future of urban construction and the key technologies that will shape the cities of tomorrow.
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Mechanical and Electrical Equipment for Buildings
Updated edition of the leading award-winning reference on mechanical and electrical systems for buildings of all sizes Twice awarded the AIA's Citation for Excellence in International Architecture Book Publishing, Mechanical and Electrical Equipment for Buildings comprehensively reviews mechanical and electrical systems for buildings of all sizes, providing design guidelines and detailed design procedures for each topic covered. To assist with learning, this book contains in-depth discussions of ”why” and ”how to,” which help the reader better understand concepts and applications. This 14th Edition features substantial revisions to core content reflecting the latest knowledge and advancements in the field, with coverage of topics including green buildings, zero energy, zero carbon, zero water, zero waste, healthy buildings, resiliency, electrification, and decarbonization, along with revised references to codes, standards, and rating systems from ASHRAE, NFPA, ICC, IES, USGBC (LEED), ILFI (Living Building Challenge), IWBI (the WELL Building Standard), and more. With this new edition, readers will also find an updated Learner’s Guide, new PowerPoint learning aids for each chapter, updated case studies, and an improved test bank of questions and answers. New illustrations are also included throughout. Mechanical and Electrical Equipment for Buildings explores topics including: Design resources covering energy performance, water efficiency, decarbonization, as well as a holistic overview of the impact of the built environment on environmental health and human wellbeingPassive environmental systems that support human thermal, visual, and acoustical comfortFactors for healthy buildings, biophilic design, and building system solutions that improve indoor environmental quality (IEQ)Considerations for efficient, effective, and durable building enclosuresHVAC components including heating and cooling equipment, air and water delivery, air filters, and HVAC system taxonomy, anatomy, and controlsBasic design criteria pertaining to fire protection, vertical transportation, telecommunications, and building automation systems Following in the footsteps of previous editions spanning the greater part of a century, Mechanical and Electrical Equipment for Buildings continues to be the leading resource on the subject for professionals and students in architecture, architectural engineering, and construction.
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Robotics and Autonomous Systems and Engineering Applications of Computational Intelligence
The five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China.The 31 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge.
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Air and Missile Defense Systems Engineering
Air and Missile Defense Systems Engineering fills a need for those seeking insight into the design procedures of the air and missile defense system engineering process. Specifically aimed at policy planners, engineers, researchers, and consultants, it presents a balanced approach to negating a target in both natural and electronic attack environments, and applies physics-based system engineering to designing and developing a balanced air and missile defense system. The book provides an in-depth description of the missile defense design development process as well as the underlying technical foundation of air and missile defense systems engineering. Utilizing the authors’ many years of combined engineering experience, this book considers new air missile defense system technologies and innovative architectures that can be used to meet performance requirements while also minimizing design, development, and operational costs over the lifecycle of a combat system. It also includes the latest systems design techniques that can be applied to new and existing systems, and introduces systems engineering principles that can be discussed and readily applied to other missile defense system scenarios.Additionally, this book: Focuses on shipborne missile defense systems that provide their own ship defense against missiles and protection of other nearby shipsEmphasizes the analysis and trade space associated with producing a balanced air and missile defense system (AMDS)Addresses the importance of architectures and technologiesTraces requirements development through system performance tradeoffsIncludes results of radar and missile performance tradeoffs in a realistic environment Air and Missile Defense Systems Engineering provides an understanding of the physics of missile defense systems and the key performance parameters that drive the capabilities of these systems. This book serves as a valuable resource for missile defense engineers and other practicing professionals, as well as a teaching reference for graduate-level courses.
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Harness Engineering
Build a secure control plane for agentic AI with design patterns for bounded autonomy, least privilege identity, trusted context, governed memory, and runtime recoveryKey FeaturesDesign a security control plane for long running agents and delegated multi-agent workContain prompt injection and memory poisoning through enforceable trust boundariesUse HarnessLab scenarios to connect design patterns with observable control decisionsBook DescriptionLong-running AI agents need controls that hold across tool calls, delegated tasks, and persistent memory. Harness Engineering presents design patterns for securing long-horizon multi-agent AI systems through a control plane that governs autonomy, identity, intent, context, and memory. Learn to scope agent permissions, contain prompt injection, detect goal drift, and place human oversight where consequential actions require it.Through architectural diagrams and HarnessLab scenarios, explore decision tracing, evaluation gates, runtime intervention, recovery, fleet coordination, and data governance. Build the engineering judgment to make agent behavior observable, authority accountable, and improvement measurable, so you can move from promising prototypes to controlled production operations.What you will learnSet autonomy budgets and risk based human approval gatesScope agent identities, credentials, and delegation chainsBind tool authority to intent and detect goal driftContain prompt injection and govern persistent memoryUse decision traces and evals to govern agent improvementSteer live runs and enforce fleet and data boundariesWho this book is forFor AI engineers, security architects, platform teams, and technical leaders designing or governing long running agentic AI systems. Researchers and graduate students will also benefit from its pattern based treatment of agent security and control. Familiarity with LLM applications, tool calling, access control, and distributed systems is recommended. The book supports readers moving from agent prototypes to accountable enterprise operations.
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Mechanics of Accuracy in Engineering Design of Machines and Robots
Accuracy is one of the fundamental characteristics and one of the most important indexes of the quality of machines and robots. It significantly defines their structure and applications and, in turn, depends on their structure and applications. Accuracy provision, maintenance, and enhancement are permanently hot problems in modern manufacturing and manufacturing science.The book is being published in two volumes and four parts. Each part combines a theoretical chapter with applications to machines and robots with different kinematic types. The formalized consideration is accompanied with application examples, which, as a rule, are explained with numerical solutions using realistic initial values.This Volume II continues consideration of the accuracy-related problem as applied to machines and robots started in Volume I. Two themes are developed in Volume II: stiffness-compliance directly associated with the machine and robot accuracy through static deformations (Part I) and computer-aided metrology aimed at final assessments of the accuracy-associated performance indexes (Part II).The problems discussed in both volumes hold the greatest interest in mechanics of machines and robot accuracy. In spite of the physical diversity of the considered problems, they are integrated by application of unique methodology in both volumes. The methodology is based on the models of the nominal functioning of the machines, whose small disturbances result in geometrical accuracy and stiffness-compliance problems. The matrix technique for engineering problem formulation and the computer software system for effective solution in parallel with overcoming mathematical and technical difficulties are applied for the considered problems.Volume II is written as a standalone book in its own right and can be used without access to Volume I. The book is intended for machine and robot designers and researchers, university graduate and senior undergraduate students, and their instructors.
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Simulation for Cyber-Physical Systems Engineering
This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.
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Systems Engineering Neural Networks
SYSTEMS ENGINEERING NEURAL NETWORKS A complete and authoritative discussion of systems engineering and neural networks In Systems Engineering Neural Networks, a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you’ll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications. Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel. The book provides: A thorough introduction to neural networks, introduced as key element of complex systems Practical discussions of systems engineering and forecasting, complexity theory and optimization and how these techniques can be used to support applications outside of the traditional AI domains Comprehensive explorations of input and output, hidden layers, and bias in neural networks, as well as activation functions, cost functions, and back-propagation Guidelines for software development incorporating neural networks with a systems engineering methodology Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.
R 4,233.00
Systems, Decision and Control in Energy II
This book examines the problems in the field of energy and related fields (chemical, transport, aerospace, construction, metallurgy, engineering, etc.) and consists of 4 subsections: Electrical Engineering, Heat Power Engineering, Cybersecurity and Computer Science & Environmental Safety. In the first section, authors pay attention to contemporary issues related to the development of the electric power industry, electrical engineering, the physics of electrical phenomena and renewable energy sources (such as solar energy and wind energy). The second section is devoted to modern problems in heat power engineering and considers modern means and methods that increase the efficiency and reliability of the functioning of heat power facilities. The third section is devoted to issues of cybersecurity of critical facilities, in particular energy facilities, as well as the development of computer science and the introduction of modern information and measurement systems in the energy sector. The fourth subsection deals with the problems of rational use of natural resources, accounting for emissions of harmful substances, environmental issues at energy facilities, as well as the development of a methodology for environmental safety. The book includes 21 chapters. A book is for researchers, engineers, as well as lecturers and postgraduates of higher education institutions dealing with issues of control, diagnosis and monitoring of energy facilities.
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Advances in Industrial and Production Engineering
This book comprises select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as professionals.
R 6,630.36
Trends in Environmental Sustainability and Green Energy
This book comprises of selected and peer-reviewed papers presented at the 2024 7th International Conference on Green Energy and Environment Engineering (CGEEE 2024), in Seoul, South Korea during July 4-6, 2024. The conference is sponsored by University of Seoul, Korea, co-sponsored by Jeju National University, and Jeju Green Environment Centre, which aims to bring together innovative academics and industrial experts from all over the world. Topics discussed at the conference include environmental pollution and control, wastewater treatment, climate change and ecosystems management, environmental restoration, environmental regulation and monitoring, environmental systems approach, energy efficiency, energy management. These chapters provide scientists and researchers with the latest advancements in the field of green energy and environment engineering. The book will prove a useful reference to researchers, practitioners, and policy makers.
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Sustainable and Resilient Engineering
Definitions, methodologies, and current applications of the principles of sustainability and resiliency in all engineering disciplines Sustainable and Resilient Engineering provides a comprehensive exploration of the scientific basis, methodologies, and practical applications of sustainability and resiliency in engineering. With an emphasis on the tri-sectoral dimensions of the economy, environment, and society, as well as an increased emphasis on resilience across these dimensions, this textbook equips readers with the knowledge and expertise to evaluate, design, and enhance engineering solutions across a wide range of fields spanning from civil infrastructure and energy engineering to waste management and land use planning. The text also presents a set of case studies across different engineering disciplines such as bio/chemical, environmental, materials, construction, and infrastructure engineering that demonstrate the practical applicability of sustainability and resiliency assessments for a diverse range of projects. The new edition features updated content on sustainability assessment tools and expands on the critical role of resiliency, emphasizing the interplay between sustainability and resiliency, in engineered systems. The new edition of Sustainable and Resilient Engineering also provides updates on topics including: Climate-resilient engineering basics and assessment methodologiesRole of emerging technologies such as artificial intelligence, remote sensing, robotics, digital twins, and the Internet of Things in achieving sustainability and resiliencySustainable engineered materials, nature-based solutions, and resource recoveryWastewater treatment as another source for non-potable water use applicationsEnvironmental, Social, and Governance (ESG) concepts and environmental justice Updated pedagogical features include spreadsheet tools, lecture slides, goals/objectives sections, end-of-chapter problem sets, new exercises and examples, and a solutions manual. Sustainable and Resilient Engineering is an excellent up-to-date textbook for introductory and advanced university courses on sustainability and resiliency. It is also valuable as an advanced manual/reference for practitioners and professionals in their design, review, implementation, advisory, or oversight activities.
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Multiagent Engineering
This book gives detailed descriptions of the development of two large scale multiagent systems: Agent.Hospital and Agent.Enterprise. These two systems have been developed in close cooperation with more than 20 enterprises and hospitals. They demonstrate clearly that multiagent technology has a great potential for innovative information systems, if a high degree of flexibility of the overall systems is required, e.g. because human actors and technical systems exhibit a great degree of local autonomy, or if the work environment is highly dynamic.
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Integrated Computer Technologies in Mechanical Engineering
This book presents the proceedings of the 2019 International Scientific and Technical Conference “Integrated Computer Technologies in Mechanical Engineering” – Synergetic Engineering (ICTM’ 2019). The ICTM was established by the National Aerospace University “Kharkiv Aviation Institute” to bring together outstanding researchers and practitioners in the fields of information technology in the design and manufacture of engines, creation of rocket space systems, and aerospace engineering from around the globe all to share their knowledge and expertise.The ICTM’2019 conference was held in Kharkiv, Ukraine, on November 28–30, 2019. During the event, technical exchanges between the research communities took place in the form of keynote speeches, panel discussions, and special sessions. In addition, participants had the opportunity to forge new collaborations with their fellow researchers. ICTM’2019 received 172 submissions from various countries. This book features selected papers offering insights into the following topics: Information technology in the design and manufacture of engines; Information technology in the creation of rocket space systems; Aerospace engineering; Transport systems and logistics; Big data and data science; Nano-modeling; Artificial intelligence and smart systems; Networks and communication; Cyber-physical system and IoE; Software Engineering and IT-infrastructure. The organizers of ICTM 2019 made great efforts to ensure the success of this conference. The authors would like to thank all the members of the ICTM’2019 Advisory Committee for their guidance and advice, the members of Program Committee and Organizing Committee, the referees for their time and effort in reviewing and soliciting the papers, and the authors for their contributions to the formation of a common intellectual environment for solving relevant scientific problems. Also, the authors are grateful to Springer, especially Janusz Kacprzyk and Thomas Ditzinger as the editors responsible for the series “Advances in Intelligent System and Computing” for their valuable support in publishing these selected papers.
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Advanced Engineering, Technology and Applications on Power Systems
This book presents the proceedings of the 4th International Conference on Advanced Engineering, Technology, and Applications in Power Systems (ICAETA25), held at Shenyang University of Technology, Liaoning, China, from July 31 to August 1, 2025. It features cutting-edge research and practical innovations addressing real-world challenges in power systems, with a strong emphasis on the latest developments in artificial intelligence, machine learning, big data, cloud computing, the Internet of Things, and sensor technologies. Readers will find state-of-the-art models, benchmark datasets, and insightful analyses that bridge theoretical advancements with applied engineering solutions, offering a comprehensive view of how intelligent technologies are transforming the power sector and related domains.
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Artificial Intelligence Applications for a Sustainable Environment
This book explores the applications of artificial intelligence (AI) in environmental protection, with a focus on pollution monitoring and mitigation. Offering an authoritative perspective on circular and green economies through strategic AI deployment, it covers topics like risk management for human health impacts, optimization of water engineering processes, and real-time monitoring for contamination detection. Particular attention is given to water-quality-related concerns and optimizing operational parameters critical for wastewater treatment. In this book, readers will discover how AI is applied for early warning systems, detecting potential contamination in aquatic, terrestrial, and atmospheric environments. Expert contributors discuss the integration of AI with environmental sustainability, the Internet of Things (IoT), machine learning, and automated monitoring techniques. The book also highlights the role of AI-supported low-cost smart sensors in environmental monitoring and climate change mitigation. Other key topics include intelligent control systems for wireless monitoring of waste management in green cities and AI's potential in diagnosing, managing, and forecasting air-pollution-related diseases for atmospheric sustainability. The book concludes with recommendations for maintaining a circular and green economy. Given its breadth, this book is an indispensable resource for researchers, scholars, and practitioners interested in understanding the transformative role of AI in environmental engineering and its contribution to sustainable development.
R 6,228.00
Research Perspectives on Software Engineering and Systems Design
This book combines cutting-edge research addressing current challenges and emerging opportunities in computing, artificial intelligence, sustainability, and education. Through interdisciplinary insights, readers will discover novel computational frameworks designed to enhance cybersecurity, optimise energy systems, and advance interactive technologies such as chatbots, virtual reality, and gaming for medical rehabilitation. Each chapter demonstrates innovative methodologies--from advanced AI-driven complex data analyses to sophisticated mathematical models addressing real-world problems. The studies highlight how data science, machine learning, and computational intelligence can boost organisational efficiency, support sustainable development, and significantly enhance human-computer interaction. Ideal for researchers, industry experts, educators, and advanced students, this resource provides valuable perspectives on practical applications and theoretical advancements essential for staying ahead in rapidly evolving technological fields.
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Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering
“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.
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Climate Engineering and the Law
Climate change is increasingly recognized as a global threat, and is already contributing to record-breaking hurricanes and heat waves. To prevent the worst impacts, attention is now turning to climate engineering - the intentional large-scale modification of the environment to reduce the impact of climate change. The two principal methods involve removing some carbon dioxide from the atmosphere (which could consume huge amounts of land and money, and take a long period of time), and reducing the amount of solar radiation reaching the earth's surface, perhaps by spraying aerosols into the upper atmosphere from airplanes (which could be done quickly but is risky and highly controversial). This is the first book to focus on the legal aspects of these technologies: what government approvals would be needed; how liability would be assessed and compensation provided if something goes wrong; and how a governance system could be structured and agreed internationally.
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R 1,445.00
Advances in Industrial and Production Engineering
This book comprises select proceedings of the International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2018). The book discusses different topics of industrial and production engineering such as sustainable manufacturing systems, computer-aided engineering, rapid prototyping, manufacturing management and automation, metrology, manufacturing process optimization, casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as professionals.
R 6,228.00
Fault Diagnosis of Permanent Magnets Machines
Detect, model, and diagnose faults in permanent magnet machines Permanent magnet motors operate under conditions that produce inadequate lubrication, mechanical shocks, thermal stress, and excessive loading, all of which elevate the likelihood of catastrophic failure. Fault Diagnosis of Permanent Magnet Machines, written by a team of experienced electrical engineers and researchers, provides the theory, modeling approaches, simulation techniques, experimental validation, and practical implementation strategies needed to identify and address these fault mechanisms. The book details multiple modeling methods, such as lumped-parameter models and finite element techniques, and supports them with machine learning-based modeling techniques. With a??structured comparison between permanent magnet synchronous machines and induction machines, the book also includes: Coverage of fault origins across automotive, industrial automation, and renewable energy applications where permanent magnet machines are deployedGuidance on repair strategies and practical implementation considerations for maintaining operational resilience in PM motor systemsDetailed examination of how abnormal operating conditions and adverse environmental factors contribute to elevated internal stress levelsMachine learning techniques applied to fault modeling and detection, expanding beyond traditional analytical and numerical diagnostic methodsExperimental validation procedures that connect theoretical fault models to real-world diagnostic outcomes in PM machine operationDesigned for engineers responsible for safe operation of PM machines in industrial product lines and??researchers working in condition monitoring, this book also serves as supplementary reading for??advanced graduate courses on fault diagnosis of PM machines, providing the analytical tools needed to enhance reliability across applications.
R 4,885.00
Science, Engineering Management and Information Technology
The 4-volume set CCIS 3163–3166 constitutes the proceedings of the 6th International Conference on Science, Engineering Management and Information Technology, SEMIT 2026, held in Ankara, Turkey, during September 16–18, 2026.The 114 full papers and 2 short papers included in the proceedings were carefully reviewed and selected from 205 submissions. They were organized in topical sections as follows:Part I: Foundation Models, Machine Learning, and AI Architectures; Intelligent Networks, Edge, Cloud, and Distributed Computing; Quantum Computing, Quantum Communication, and Emerging Architectures;Part II: Cybersecurity, Privacy, Trust, and Resilient Systems; Computer Vision, Remote Sensing, UAVs, and Intelligent Detection; AI in Healthcare, Bioinformatics, and Clinical Decision Support; Digital Education, Human–Computer Interaction, and Cultural Heritage;Part III: Digital Business, Public Policy, and Organizational Transformation; Intelligent Logistics and Urban Systems; Intelligent Enterprise Systems and Industrial Digitalization; and Intelligent Engineering, Energy, and Smart Infrastructure;Part IV: Digital Governance, AI Policy, and Intelligent Information Systems; AI Governance, Digital Trust, and Intelligent Systems; and Smart Materials, Sustainable Technologies, and Digital Innovation.
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Proceedings of the International Conferences on Digital Technology Driven Engineering 2024
This book gathers the latest advances, innovations, and applications in the field of engineering optimization and architectural design, presented at the 1st International Conference on ADDitively Manufactured OPTimized Structures by means of Machine Learning (ADDOPTML), held in Amman, Jordan, on October 1–4, 2024, jointly with conferences OPTARCH2024 and OPT-ii2024. It covers topics such as machine learning-based design manufacturing process for civil structures, additive manufacturing optimized structural elements, holistic machine learning aided, linear, nonlinear, stochastic, parametric, discrete and dynamic programming—modelling, hybrid methods with metaheuristics, machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, emergent nature-inspired algorithms such as quantum computing and artificial immune systems. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
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Global Engineering, Manufacturing and Enterprise Networks
The availability of effective global communication facilities in the last decade has changed the business goals of many manufacturing enterprises. They need to remain competitive by developing products and processes which are specific to individual requirements, completely packaged and manufactured globally. Networks of enterprises are formed to operate across time and space with world-wide distributed functions such as manufacturing, sales, customer support, engineering, quality assurance, supply chain management and so on. Research and technology development need to address architectures, methodologies, models and tools supporting intra- and inter-enterprise operation and management. Throughout the life cycle of products and enterprises there is the requirement to transform information sourced from globally distributed offices and partners into knowledge for decision and action. Building on the success of previous DrrSM conferences (Tokyo 1993, Eindhoven 1996, Fort Worth 1998), the fourth International Conference on Design of Information Infrastructure Systems for Manufacturing (DrrSM 2000) aims to: • Establish and manage the dynamics of virtual enterprises, define the information system requirements and develop solutions; • Develop and deploy information management in multi-cultural systems with universal applicability of the proposed architecture and solutions; • Develop enterprise integration architectures, methodologies and information infrastructure support for reconfigurable enterprises; • Explore information transformation into knowledge for decision and action by machine and skilful people; These objectives reflect changes of the business processes due to advancements of information and communication technologies (ICT) in the last couple of years.
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Hydrosystems Engineering Uncertainty Analysis
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. Failure of hydrosystems, such as dams, levees, storm sewers, or pollution control systems, pose threats to the public safety and health as well as potentially inflict enormous damages on properties and environments. Many failures of hydrosystems are mainly attributed by the existence of various uncertainties, including inherent natural randomness and the lack of complete understanding of involved geophysical processes. It is therefore essential to systematically quantify the degree of uncertainty for the problem in hand so that reliability assessment and risk-based design of hydrosystems can be made. The conventional approach of frequency analysis of heavy rainfalls or large floods consider only portion of the uncertainties involved in hydrosystem engineering problems. Over the past two decades or so, there has been a steady growth on the development and application of uncertainty analysis techniques in hydrosystems engineering and other disciplines. The aim of this book is to bring together these uncertainty analysis techniques in one book and to demonstrate their applications and limitations for a wide variety of hydrosystem engineering problems.
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Knowledge and Skill Chains in Engineering and Manufacturing
Since the first DIISM conference, which took place 9 years ago, the world has seen drastic changes, including the transformation of manufacturing and engineering software, and the information and communication technologies deployed. The conditions for manufacturing and engineering have changed on a large scale, in terms of technology-enabled collaboration among the fields of design, engineering, production, usage, maintenance and recyclingldisposal. These changes can be observed in rapidly-growing fields such as supply chain management. As for production technologies at factory floors, new visions on human-machine co-existing systems involve both knowledge management and multi-media technologies. Therefore, because of these changes, the importance of information infrastructure for manufacturing has increased, stunningly. Information infrastructure plays a key role in integrating diverse fields of manufacturing, engineering and management. This, in addition to its basic role, as the information and communication platform for the production systems. Eventually, it should also serve the synthetic function of knowledge management, during the life cycles of both the production systems and their products, and for all stakeholders.
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Intelligent Simulation
This 2-volume set CCIS 3155 - 3156 constitutes the proceedings of the 38th China Simulation Conference, CSC 2026, held in Changzhou, China, during October 16–18, 2026.The total of 67 papers included in the proceedings was carefully reviewed and selected from 334 submissions. They were organized in topical sections as follows: Part 1 : Basic theories and methods of simulation science and engineering; Modeling and simulation of complex systems/systems-of-systems, control theory and applications; Modeling and simulation of integrated natural environments and virtual reality environments; Multi-agent simulation and large model agent simulation (LLM-Agent); Physics-informed machine learning, world models, and generative simulation; Parallel and distributed simulation, high-performance simulation, cloud simulation, and edge simulation; Simulation model verification and validation (V&V) technologies.Part 2 : Simulation standards, simulation tools, simulation support environments, simulation systems, and simulators; CAE, virtual prototyping, and model-based systems engineering (MBSE); Discrete event system simulation, logistics simulation, production line simulation, and supply chain simulation; Control theory and applications, intelligent simulation optimization and scheduling, industrial internet and simulation, green manufacturing and simulation, intelligent manufacturing and simulation; Control theory and applications, intelligent simulation optimization and scheduling, industrial internet and simulation, green manufacturing and simulation, intelligent manufacturing and simulation; Other new theories, methods, and technologies related to simulation.
R 5,465.22
Science, Engineering Management and Information Technology
The 4-volume set CCIS 3163–3166 constitutes the proceedings of the 6th International Conference on Science, Engineering Management and Information Technology, SEMIT 2026, held in Ankara, Turkey, during September 16–18, 2026.The 114 full papers and 2 short papers included in the proceedings were carefully reviewed and selected from 205 submissions. They were organized in topical sections as follows:Part I: Foundation Models, Machine Learning, and AI Architectures; Intelligent Networks, Edge, Cloud, and Distributed Computing; Quantum Computing, Quantum Communication, and Emerging Architectures;Part II: Cybersecurity, Privacy, Trust, and Resilient Systems; Computer Vision, Remote Sensing, UAVs, and Intelligent Detection; AI in Healthcare, Bioinformatics, and Clinical Decision Support; Digital Education, Human–Computer Interaction, and Cultural Heritage;Part III: Digital Business, Public Policy, and Organizational Transformation; Intelligent Logistics and Urban Systems; Intelligent Enterprise Systems and Industrial Digitalization; and Intelligent Engineering, Energy, and Smart Infrastructure;Part IV: Digital Governance, AI Policy, and Intelligent Information Systems; AI Governance, Digital Trust, and Intelligent Systems; and Smart Materials, Sustainable Technologies, and Digital Innovation.
R 4,337.15
Emotional Engineering Volume 4
This book describes the important role of emotion in a hyper-connected society and how product development and manufacture change. It explores how our work and lifestyle may be affected by forthcoming technologies and presents key research on multisensory informatics, one of the most important tools for making the most of emotion.This fourth volume of the Emotional Engineering Series focuses on the human issues relating to Cyber Physical Systems, or Industrie 4.0, and discusses the important role emotion plays in these smart environments. Introducing related works in the field of multisensory research, which provide the basic tools for becoming context- and situation aware in this imminent revolutionary society, it discusses not only the changes in production and product development this new revolution will bring about, but also highlights how emotion plays a crucial role in making us happy in such a connected society and in bringing about harmonization between human and human, between human and machine and, last but not least, in maintaining a good work-life balance.
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R 519.38
Metabolic Pathway Engineering
Metabolic systems engineering combines the tools and approaches of systems biology, synthetic biology, and evolutionary engineering. This book reviews studies on metabolism, from the earliest work of Lavoisier and Buchner to current cutting-edge research in metabolic systems engineering. This technology has been used in bioengineering applications to create high-performing microbes and plants that produce important chemicals, pharmaceuticals, crops, and other natural products. Current applications include optimizing metabolic pathways to enhance degradation of biomass for biofuel production and accelerated processing of environmental waste products and contaminants. The book includes examples to illustrate the applications of this technology in the optimization of metabolic pathways to create robust industrial strains as well as in the engineering of biological processes involving health and diseases of humans, animals, and plants. Written by a seasoned computational biologist with many years of experience in genomics, bioinformatics, and systems biology, this book will appeal to anyone interested in metabolic systems analysis and metabolic pathway engineering.
R 6,333.74
Advances in Design, Simulation and Manufacturing VIII
This book reports on advances in mechanical engineering, with a special emphasis on innovative design approaches, constructions and working processes, and on intelligent devices. It discusses physical aspects during pressing and vibrational processing, and findings relating to static stiffness and wear resistance. Further chapters report on the modeling and simulation of mechanical systems using mathematical modeling, numerical simulation, and experimental studies. This book also describes the use of LabVIEW, an infrared camera, and acoustic technology for the control and diagnostic of air leaks and radial runout of gear wheels. It discusses topics concerning the efficiency of systems and processes, reporting on new strategies for improving the design and operation of hydraulic machine rotors, screw and roller presses, and homogenizers, among others. Based on the 8th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE-2025), held on June 17-20, 2025, in Porto, Portugal, this second volume of a 4-volume set provides academics and professionals with extensive information on technologies, trends, challenges, and practice-oriented experience in all the above-mentioned.
R 9,454.19
R 2,153.71
Technology for a Resilient Future
The book addresses the exploration of cutting-edge technological advancements.This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems. This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.
R 2,564.00
Build Production-Ready AI Agents with the Microsoft Stack
Build AI agents across Copilot Studio, Microsoft Foundry, and Agent Framework, from tenant setup and deployment to multimodal assessment, code-first workflows, evidence-based decisions, and production architecture choicesKey FeaturesBuild grounded, multimodal, and multi-agent solutions across three Microsoft agent tiersEvaluate, secure, publish, and monitor agents using production-focused workflowsImplement durable human-in-the-loop orchestration with checkpoints and auditable decisionsBook DescriptionMoving an AI agent from a working prototype to a production system requires more than a good prompt. You need the right architecture, reliable grounding, controlled tool use, evaluation, security, observability, and clear points for human intervention. Build Production-Ready AI Agents with the Microsoft Stack shows how these pieces fit together through through Claims 365, a fictional insurer's claims process.You will build a grounded business agent with Copilot Studio, secure and evaluate it, and publish it for real use. You will then create a multimodal assessment agent in Microsoft Foundry that processes images and documents and returns structured outputs. From there, you will run, test, and resume a complete code-first multi-agent workflow built with Microsoft Agent Framework, in Python or C#. It coordinates agents and tools to gather and challenge evidence, then pauses for durable human approval using checkpoints, shared state, Dataverse, and an auditable investigation trail.The book concludes by comparing the three Microsoft agent tiers (Copilot Studio, Microsoft Foundry, and Microsoft Agent Framework) and the trade-offs between flexibility, control, maintenance, and operational responsibility, helping you select the right architecture for different production scenarios.What you will learnChoose the right Microsoft agent tier for each workloadGround agent responses in Dataverse and business dataEvaluate grounded responses and identify failure casesSecure and publish agents with sign-in and entitlement checksBuild multimodal agents with structured JSON outputsDesign code-first multi-agent workflows with shared stateAdd durable human approval with checkpoints and audit trailsWho this book is forThis book is for solution architects, AI engineers, developers, technical consultants, and Microsoft platform professionals who need to take agentic solutions beyond prototypes. It is especially useful for readers working across Copilot Studio, Microsoft Foundry, and Microsoft Agent Framework who need to make architecture, security, evaluation, orchestration, and human-oversight decisions. Familiarity with Microsoft cloud services and application development will help readers get the most from the code-first sections.
R 1,140.00
Environment and Public Health
This book offers a comprehensive exploration of the dynamic relationship between environmental factors and public health, providing both theoretical insights and practical solutions. As environmental challenges such as climate change, pollution, and natural disasters increasingly threaten global public health, this book integrates foundational theories with empirical evidence to address these pressing issues. It covers a wide range of topics including the theoretical and methodological foundations for understanding the nexus between environment and public health, exploring historical perspectives and research directions. The book examines the health impacts of environmental hazards and disasters, focusing on vulnerable regions and populations with highlighting climate change associated public health challenges. Furthermore, the book shifts to the environmental pollution and public health challenges, offering sustainable solutions to mitigate environmental pollutions. The book also delves into the intersection of climate extremes, food security, and nutrition, focusing on how vulnerable countries can build resilient food systems to combat food insecurity and malnutrition. It emphasizes the role of cutting-edge technologies like geospatial tools, artificial intelligence, machine learning (ML) and advanced environment and public health data cloud to make sustainable solutions. By integrating diverse regional perspectives, the book presents actionable strategies for building resilient, sustainable environment and public health. Designed for researchers, policymakers, and environmental health practitioners, this book serves as an essential guide for understanding the profound global environmental challenges and public health burdens, learning the advance tools and techniques to delineate such issues and resilient strategies
R 6,594.00
Science, Engineering Management and Information Technology
The 4-volume set CCIS 3163–3166 constitutes the proceedings of the 6th International Conference on Science, Engineering Management and Information Technology, SEMIT 2026, held in Ankara, Turkey, during September 16–18, 2026.The 114 full papers and 2 short papers included in the proceedings were carefully reviewed and selected from 205 submissions. They were organized in topical sections as follows:Part I: Foundation Models, Machine Learning, and AI Architectures; Intelligent Networks, Edge, Cloud, and Distributed Computing; Quantum Computing, Quantum Communication, and Emerging Architectures;Part II: Cybersecurity, Privacy, Trust, and Resilient Systems; Computer Vision, Remote Sensing, UAVs, and Intelligent Detection; AI in Healthcare, Bioinformatics, and Clinical Decision Support; Digital Education, Human–Computer Interaction, and Cultural Heritage;Part III: Digital Business, Public Policy, and Organizational Transformation; Intelligent Logistics and Urban Systems; Intelligent Enterprise Systems and Industrial Digitalization; and Intelligent Engineering, Energy, and Smart Infrastructure;Part IV: Digital Governance, AI Policy, and Intelligent Information Systems; AI Governance, Digital Trust, and Intelligent Systems; and Smart Materials, Sustainable Technologies, and Digital Innovation.
R 3,936.26
Resilience Engineering for Power and Communications Systems
Power and communications networks are uniquely important in times of disaster. Drawing on twenty years of first-hand experience in critical infrastructure disaster forensics, this book will provide you with an unrivalled understanding of how and why power and communication networks fail. Discover key concepts in network theory, reliability, and resilience, and see how they apply to critical infrastructure modelling. Explore real-world case-studies of power grid and information and communication network (ICN) performance and recovery during earthquakes, wildfires, tsunamis, and other natural disasters; as well as man-made disasters. Understand the fundamentals of disaster forensics, learn how to apply these principles to your own field investigations, and identify practical, relevant strategies, technologies and tools for improving power and ICN resilience. With over 350 disaster-site photographs of real-world power and ICN equipment, this is the ideal introduction to resilience engineering for professional engineers and academic researchers working in power and ICN system resilience.
R 4,444.15
Environmental Science in Building
This popular textbook covers how the built environment and the management of energy relate to the quality of human living-conditions and the environmental performance of buildings. It is the key introductory text for understanding the principles and theories of the environmental science behind construction, and the only text on the market to provide the basic scientific principles of such a broad range of topics. The text covers a range of areas in the field, including climate change, energy management, and sustainability in construction, with an important focus on contemporary environmental topics such as carbon, lifetime performance and rating schemes. The author is known for his extremely clear, finely crafted text, and the book offers a wealth of excellent worked examples.This text is designed to be useful, at all levels, to students and practitioners of architecture, construction studies, building services, surveying, and environmental science. New to this Edition:- Expansion upon the environmental narrative with coverage of contemporary topics such as carbon, lifetime performance and rating schemes- Additional figures, images and sub-topics in chapters - An updated section on building services to give a broader understanding of modern building services equipment options, specifications and performance implications- Inclusion of a new section which offers commentary on the future of environmental science in building
R 2,794.00
