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Man-Machine-Environment System Engineering
This research topic was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science subject and technology in China!”MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, “Man” refers to working people as the subject in the workplace (e.g. operators, decision-makers); “Machine” is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization are to ensure "Safety, High efficiency and Economy" of man-machine-environment systems.These proceedings are an academic showcase of the best papers selected from more than 400 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE.These proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals who study an interdisciplinary subject crossing above disciplines or researchers on MMESE subject will be mainly benefited from these proceedings.
R 10,368.96
Man-Machine-Environment System Engineering
This book includes best papers selected from 26th International Conference on Man-Machine-Environment System Engineering (MMESE) 2026. It covers the best research topics and the latest development trends in MMESE theory and application. MMESE is a scientific study of the design concepts and quantitative analysis of a complex giant system using physiology, psychology, system engineering, computer science, environment science, management theory, education, and other related disciplines methods. MMESE focuses mainly on the relationship and the optimum combination between man, machine, and environment. The three optimized goals of the MMESE study are safety, efficiency, and economy. Researchers and professionals who study a human-centered interdisciplinary subject crossing above disciplines will be mostly benefited from the proceedings. In 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian, Man-Machine-Environment System Engineering (MMESE), the integrated and advanced science research topic was established in China by Professor Shengzhao Long. In the letter to Shengzhao Long on October 22, 1993, Xuesen Qian wrote: “You have created a very important modern science subject and technology in China!”.
R 10,857.32
Man–Machine–Environment System Engineering
These proceedings showcase the best papers selected from more than 500 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of Man-Machine-Environment System Engineering (MMESE). This research topic was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of related Man-Machine-Environment systems. In this paradigm, “Man” refers to working people as the subject at the workplace (e.g. operators, decision-makers); “Machine” is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). In turn, the three goals of optimization are to ensure safety, efficiency and economy in this context. These proceedings present interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environmental science, management, education, and other related disciplines. They offer a valuable resource for all researchers and professionals whose work involves interdisciplinary areas touching on MMESE subjects.
R 9,056.77
Man–Machine–Environment System Engineering
These proceedings showcase the best papers selected from more than 500 submissions, and introduce readers to the latest research topics and developmental trends in the theory and application of MMESE. The integrated research topic Man–Machine–Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Long from October 22nd, 1993, Qian wrote: “You have created a very important modern science and technology in China!”MMESE studies the optimum combination of man–machine–environment systems. In this system, “man” refers to the people in the workplace (e.g. operators, decision-makers); “machine” is the general name for any object controlled by man (including tools, machinery, computers, systems and technologies), and “environment” describes the specific working conditions under which man and machine interact (e.g. temperature, noise, vibration, hazardous gases, etc.). The three main goals of optimizing man–machine–environment systems are to ensure safety, efficiency and economy.These proceedings present interdisciplinary studies on concepts and methods from physiology, psychology, system engineering, computer science, environmental science, management, education, and other related disciplines. They offer a valuable resource for all researchers and professionals whose work involves interdisciplinary areas touching on MMESE subjects.
R 12,141.70
Man-Machine-Environment System Engineering
This book includes best papers selected from more than 500 papers submitted at 25th International Conference on Man-Machine-Environment System Engineering (MMESE) 2025. It covers the best research topics and the latest development trends in MMESE theory and application. MMESE is a scientific study of the design concepts and quantitative analysis of a complex giant system using physiology, psychology, system engineering, computer science, environment science, management theory, education, and other related disciplines methods. MMESE focuses mainly on the relationship and the optimum combination between man, machine, and environment. The three optimized goals of the MMESE study are safety, efficiency, and economy. Researchers and professionals who study a human-centered interdisciplinary subject crossing above disciplines will be mostly benefited from the proceedings. In 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian, Man-Machine-Environment System Engineering (MMESE), the integrated and advanced science research topic was established in China by Professor Shengzhao Long. In the letter to Shengzhao Long on October 22, 1993, Xuesen Qian wrote: "You have created a very important modern science subject and technology in China!".
R 10,419.38
Man-Machine-Environment System Engineering
This book includes best papers selected from more than 500 papers submitted at 25th International Conference on Man-Machine-Environment System Engineering (MMESE) 2025. It covers the best research topics and the latest development trends in MMESE theory and application. MMESE is a scientific study of the design concepts and quantitative analysis of a complex giant system using physiology, psychology, system engineering, computer science, environment science, management theory, education, and other related disciplines methods. MMESE focuses mainly on the relationship and the optimum combination between man, machine, and environment. The three optimized goals of the MMESE study are safety, efficiency, and economy. Researchers and professionals who study a human-centered interdisciplinary subject crossing above disciplines will be mostly benefited from the proceedings. In 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian, Man-Machine-Environment System Engineering (MMESE), the integrated and advanced science research topic was established in China by Professor Shengzhao Long. In the letter to Shengzhao Long on October 22, 1993, Xuesen Qian wrote: "You have created a very important modern science subject and technology in China!".
R 10,606.42
Man-Machine-Environment System Engineering
Man-Machine-Environment System Engineering: Proceedings of the 23rd Conference on MMESE are an academic showcase of the best papers selected from more than 500 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE. This proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals who study an interdisciplinary subject crossing above disciplines or researchers on MMESE subject will be mainly benefited from this proceedings.MMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, “Man” refers to working people as the subject in the workplace (e.g. operators, decision-makers); “Machine” is the general name for any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of the man-machine-environment systems are to ensure safety, efficiency and economy.The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!”
R 10,562.10
Man-Machine-Environment System Engineering
Man-Machine-Environment System Engineering: Proceedings of the 22nd Conference on MMESE are an academic showcase of the best papers selected from more than 500 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE. This proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals who study an interdisciplinary subject crossing above disciplines or researchers on MMESE subject will be mainly benefited from this proceedingsMMESE primarily focuses on the relationship between Man, Machine and Environment, studying the optimum combination of man-machine-environment systems. In this system, “Man” refers to working people as the subject in the workplace (e.g. operators, decision-makers); “Machine” is the general namefor any object controlled by Man (including tools, machinery, computers, systems and technologies), and “Environment” describes the specific working conditions under which Man and Machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of the man-machine-environment systems are to ensure safety, efficiency and economy. The integrated and advanced science research topic Man-Machine-Environment System Engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!”
R 12,846.31
Proceedings of the 14th International Conference on Man-Machine-Environment System Engineering
The integrated and advanced science research topic man-machine-environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” MMESE primarily focuses on the relationship between man, machines and the environment, studying the optimum combination of man-machine-environment systems. In this system, “man” refers to people in the workplace (e.g. operators, decision-makers); “ machine” is the general name for any object controlled by man (including tools, machinery, computers, systems and technologies), and “environment” describes the specific working conditions under which man and machine interact (e.g. temperature, noise, vibration, hazardous gases etc.). The three goals of optimization of man-machine-environment systems are to ensure safety, efficiency and economy. Proceedings of the 14th International Conference on Man-Machine-Environment System Engineering are an academic showcase of the best papers selected from more than 400 submissions, introducing readers to the top research topics and the latest developmental trends in the theory and application of MMESE.These proceedings are interdisciplinary studies on the concepts and methods of physiology, psychology, system engineering, computer science, environment science, management, education, and other related disciplines. Researchers and professionals working in these interdisciplinary fields and researchers on MMESE related topics will benefit from these proceedings.
R 4,680.73
Machine Learning for Civil and Environmental Engineers
Accessible and practical framework for machine learning applications and solutions for civil and environmental engineers This textbook introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain. Through real-world projects like analysis and design of structural members, optimizing concrete mixtures for site applications, examining concrete cracking via computer vision, evaluating the response of bridges to hazards, and predicating water quality and energy expenditure in buildings, this textbook offers readers in-depth case studies with solved problems that are commonly faced by civil and environmental engineers. The approaches presented range from simplified to advanced methods, incorporating coding-based and coding-free techniques. Professional engineers and engineering students will find value in the step-by-step examples that are accompanied by sample databases and codes for readers to practice with. Written by a highly qualified professional with significant experience in the field, Machine Learning includes valuable information on: The current state of machine learning and causality in civil and environmental engineering as viewed through a scientometrics analysis, plus a historical perspectiveSupervised vs. unsupervised learning for regression, classification, and clustering problemsExplainable and causal methods for practical engineering problemsDatabase development, outlining how an engineer can effectively collect and verify appropriate data to be used in machine intelligence analysisA framework for machine learning adoption and application, covering key questions commonly faced by practitioners This textbook is a must-have reference for undergraduate/graduate students to learn concepts on the use of machine learning, for scientists/researchers to learn how to integrate machine learning into civil and environmental engineering, and for design/engineering professionals as a reference guide for undertaking MI design, simulation, and optimization for infrastructure.
R 2,605.00
Human Factors in Systems Engineering
Human Factors in Systems Engineering shows how to integrate humanfactors into the design of tools, machines, and systems so thatthey match human abilities and limitations. Unlike virtually allother books on human factors, which leave the implementation ofgeneral guidelines to engineers and designers with little or nohuman factors expertise, this unique book shows that the properrole of the human factors specialist is to translate generalguidelines into project specific design requirements to whichengineers can design. Again, while other human factors books ignorethe standards, specifications, requirements, and other workproducts that must be prepared by engineers, this book emphasizesthe methods used to generate the human factors inputs forengineering work products, and the points in the developmentprocess where these inputs are needed. Comprehensive in its scope, Human Factors in Systems Engineeringuses the systems engineering process to provide a broadunderstanding of the way human factors are used in the developmentprocess. It describes the full cycle of a design and shows whathuman factors inputs engineers and designers need at each stage ofdevelopment. Well-organized and clearly written, this invaluable text is fullysupported by over a hundred illustrations, thirty tables, handyappendices, and extensive bibliographies. Its practical, hands-onapproach makes it an indispensable resource for professionals andadvanced students in human factors, ergonomics, industrialengineering, and systems engineering. A unique, step-by-step guide to the application of human factors inthe system development process Human Factors in Systems Engineering Unlike most current texts which provide general human factorsrecommendations but leave their interpretation to designers who areusually not trained for it, this book shows the reader how toprepare project specific system requirements that engineers can useeasily and effectively. In addition, it fully explains the variouswork products--the standards and specifications--that engineersmust produce during development, and shows what human factorsinputs are required in each of them. Focusing on the entire systemsengineering process, Human Factors in Systems Engineering offersprofessionals and advanced students a fresh, much-needed approachto the role of human factors in the design of tools, machines, andsystems.
R 5,001.00
R 5,800.00
Artificial Intelligence Systems in Environmental Engineering
Specialists are paying attention to the growing concern for environmental issues. Artificial Intelligence Systems in Environmental Engineering uses techniques from the field of Artificial Intelligence as the alternative to address problems that are difficult to model by analytical methods. The book provides a general study and introduces a set of techniques for environmental engineering. With a particular focus on climate change and energy policy, it discusses innovative solutions and models that can positively influence and increase the efficiency of resource use and decrease the impact on the environment while developing the well-being of individuals. The book will be of most interest to research students who have a scientific approach and deal with problems related to environmental engineering.
R 9,307.79
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R 4,583.51
Spacecraft Systems Engineering
This fourth edition of the bestselling Spacecraft Systems Engineering title provides the reader with comprehensive coverage of the design of spacecraft and the implementation of space missions, across a wide spectrum of space applications and space science. The text has been thoroughly revised and updated, with each chapter authored by a recognized expert in the field. Three chapters – Ground Segment, Product Assurance and Spacecraft System Engineering – have been rewritten, and the topic of Assembly, Integration and Verification has been introduced as a new chapter, filling a gap in previous editions. This edition addresses ‘front-end system-level issues’ such as environment, mission analysis and system engineering, but also progresses to a detailed examination of subsystem elements which represents the core of spacecraft design. This includes mechanical, electrical and thermal aspects, as well as propulsion and control. This quantitative treatment is supplemented by an emphasis on the interactions between elements, which deeply influences the process of spacecraft design. Adopted on courses worldwide, Spacecraft Systems Engineering is already widely respected by students, researchers and practising engineers in the space engineering sector. It provides a valuable resource for practitioners in a wide spectrum of disciplines, including system and subsystem engineers, spacecraft equipment designers, spacecraft operators, space scientists and those involved in related sectors such as space insurance. In summary, this is an outstanding resource for aerospace engineering students, and all those involved in the technical aspects of design and engineering in the space sector.
R 3,027.00
Environmental Systems Engineering and Economics
Environmental Systems Engineering and Economics emphasizes the application of optimization, economics, and systems engineering to problems in environmental resources management. This senior level/graduate textbook introduces optimization theory and algorithms that have been successful in resolving water quality and groundwater management problems. Both linear programming and nonlinear optimization are presented. Multiobjective optimization and the linked simulation-optimization (LSO) methodology are also introduced. The basic principles of economics and engineering economics are also discussed to provide a framework for economic decision making. This text contains numerous example problems. Case studies are presented that address water resources management issues in the north China plain, the control of saltwater intrusion in Jakarta, Indonesia, and groundwater resources management in the Yun Lin basin, Taiwan.
R 1,585.90
System Engineering Analysis, Design, and Development
Praise for the first edition: "This excellent text will be useful to every system engineer (SE) regardless of the domain. It covers ALL relevant SE material and does so in a very clear, methodical fashion. The breadth and depth of the author's presentation of SE principles and practices is outstanding."—Philip Allen This textbook presents a comprehensive, step-by-step guide to System Engineering analysis, design, and development via an integrated set of concepts, principles, practices, and methodologies. The methods presented in this text apply to any type of human system -- small, medium, and large organizational systems and system development projects delivering engineered systems or services across multiple business sectors such as medical, transportation, financial, educational, governmental, aerospace and defense, utilities, political, and charity, among others. Provides a common focal point for “bridging the gap” between and unifying System Users, System Acquirers, multi-discipline System Engineering, and Project, Functional, and Executive Management education, knowledge, and decision-making for developing systems, products, or servicesEach chapter provides definitions of key terms, guiding principles, examples, author’s notes, real-world examples, and exercises, which highlight and reinforce key SE&D concepts and practicesAddresses concepts employed in Model-Based Systems Engineering (MBSE), Model-Driven Design (MDD), Unified Modeling Language (UMLTM) / Systems Modeling Language (SysMLTM), and Agile/Spiral/V-Model Development such as user needs, stories, and use cases analysis; specification development; system architecture development; User-Centric System Design (UCSD); interface definition & control; system integration & test; and Verification & Validation (V&V)Highlights/introduces a new 21st Century Systems Engineering & Development (SE&D) paradigm that is easy to understand and implement.Provides practices that are critical staging points for technical decision making such as Technical Strategy Development; Life Cycle requirements; Phases, Modes, & States; SE Process; Requirements Derivation; System Architecture Development, User-Centric System Design (UCSD); Engineering Standards, Coordinate Systems, and Conventions; et al. Thoroughly illustrated, with end-of-chapter exercises and numerous case studies and examples, Systems Engineering Analysis, Design, and Development, Second Edition is a primary textbook for multi-discipline, engineering, system analysis, and project management undergraduate/graduate level students and a valuable reference for professionals.
R 4,412.00
Systems Engineering in the Fourth Industrial Revolution
An up-to-date guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial Revolution—INDUSTRY 4.0. This book contains advanced models, innovative practices, and state-of-the-art research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later life-cycle stages of use and retirement. The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource: Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systemsExplores effective evidence-based risk management practicesDescribes an integrated approach to safety, reliability, and cyber security based on system theoryDiscusses entrepreneurship as a multidisciplinary systemEmphasizes technical merits of systems engineering concepts by providing technical models Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an up-to-date resource that contains the best practices and most recent research on the topic of systems engineering.
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Advances in Complex Societal, Environmental and Engineered Systems
This book addresses recent technological progress that has led to an increased complexity in many natural and artificial systems. The resulting complexity research due to the emergence of new properties and spatio-temporal interactions among a large number of system elements - and between the system and its environment - is the primary focus of this text.This volume is divided into three parts: Part one focuses on societal and ecological systems, Part two deals with approaches for understanding, modeling, predicting and mastering socio-technical systems, and Part three includes real-life examples. Each chapter has its own special features; it is a self-contained contribution of distinguished experts working on different fields of science and technology relevant to the study of complex systems. Advances in Complex Systems of Contemporary Reality: Societal, Environmental and Engineered Systems will provide postgraduate students, researchers and managers with qualitative and quantitative methods for handling the many features of complex contemporary reality.
R 4,069.15
Systems of Systems Engineering
As technology presses forward, scientific projects are becoming increasingly complex. The international space station, for example, includes over 100 major components, carried aloft during 88 spaces flights which were organized by over 16 nations. The need for improved system integration between the elements of an overall larger technological system has sparked further development of systems of systems (SoS) as a solution for achieving interoperability and superior coordination between heterogeneous systems. Systems of Systems Engineering: Principles and Applications provides engineers with a definitive reference on this newly emerging technology, which is being embraced by such engineering giants as Boeing, Lockheed Martin, and Raytheon. The book covers the complete range of fundamental SoS topics, including modeling, simulation, architecture, control, communication, optimization, and applications. Containing the contributions of pioneers at the forefront of SoS development, the book also offers insight into applications in national security, transportation, energy, and defense as well as healthcare, the service industry, and information technology. System of systems (SoS) is still a relatively new concept, and in time numerous problems and open-ended issues must be addressed to realize its great potential. THis book offers a first look at this rapidly developing technology so that engineers are better equipped to face such challenges.
R 10,257.00
Elements of Bioenvironmental Engineering
This volume may be used as a reference in courses dealing with biological aspects of pollution control. An abbreviated version of the authors'textbook entitled Microbiology for Environmental Scientists and Engineers (McGraw Hill, 1980), the book covers The Life-Support System; Technological Control of Water Quality; Chemical Composition of Cells and the Nature of Organic Matter; The Microorganism; Nutrition and Growth Conditions as Selective Agents in Natural Populations; Quantitative Description of Growth; Energy Generation and Utilization in Biological Systems; Metabolic Classification of Microorganisms; The Central Pathways of Metabolism; Aerobic Metabolism; and Anaerobic Metabolism. Chapters 1 through 10 conclude with references and suggested readings; a glossary and list of symbols are also provided.
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R 2,565.00
R 647.00
Advances in Civil, Chemical, and Petrochemical Engineering for Sustainable Development
This new book, Advances in Civil, Chemical, and Petrochemical Engineering for Sustainable Development, brings together a diverse collection of research contributions spanning multiple engineering disciplines, highlighting advancements in sustainability, materials science, environmental technologies, structural engineering, and computational modeling. The chapters discuss key challenges and innovative solutions, covering topics such as kinetic façade systems for energy-efficient buildings, wastewater treatment strategies, structural optimization, and renewable energy applications. Additionally, studies on predictive modeling, adsorption mechanisms, and process optimization provide critical insights for enhancing industrial and environmental performance. By integrating experimental investigations, numerical simulations, and analytical approaches, this book offers a valuable resource for researchers, practitioners, and policymakers. It aims to foster interdisciplinary collaboration and inspire future developments in engineering and technology, contributing to a more sustainable and efficient built environment.Chapters discuss state-of-the-art tools for improving sustainable building performance, traffic safety analysis tools, wastewater treatment using biochar and other methods, analyzing the effects concrete degradation, forecasting irrigation and water requirements for crops, 3D computational fluid dynamics modeling, using magnetic carbon nano-tubes for adsorbing copper (II) ions from wastewater, and more.The book presents selected best papers from the proceedings 9th Brunei International Conference on Engineering and Technology (BICET 2023) focusing on the theme "Engineering and Technologies for a Cleaner and Greener World". All the selected papers have undergone a double-blind review. The volume provides a diverse perspective, showcasing international collaboration in engineering and technology research.Presenting a selection of research reports on advancements and innovations in engineering and technology, the volume covers diverse topics and provides informative research for researchers, industry professionals, and students engaged in and interested in civil, chemical, and petrochemical engineering for sustainable development.
R 7,327.00
Handbook of Environmental Engineering
A complete guide to environmental remediation technologies, techniques, and regulationsThis practical resource offers comprehensive coverage of the latest environmental codes alongside step-by-step remediation procedures. The book features information on all segments of the market, including water, air quality, and hazardous wastes, and enables you to ensure compliance with federal regulations.Handbook of Environmental Engineering fully explains engineering methods and technologies and directly connects them to applicable standards. You will get details on environmental tools such as sensors and monitoring, toxicity controls and treatments, and waste disposal. Measurement data, environmental impact assessments, and real-world examples demonstrate how to apply each technique in the field.
R 9,305.00
Machine Learning and Systems Engineering
A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.
R 6,054.62
Advanced Man-Machine Interaction
Contemporary man-machine interfaces are increasingly characterized by multimodality, nonintrusiveness, context-sensitivity, adaptivity, and teleoperability. The implementation of such properties relies on novel techniques in felds such as, e.g., computer vision, speech technology, trainable classifiers, robotics, and virtual reality.This book puts special emphasis on technological aspects of advanced interface implementation. Furthermore it focuses on interface design and usability.For readers with a background in engineering and computer science, most chapters offer design guidelines and case studies, as well as a description of the functioning and limitations of the algorithms required for implementation. In addition, complementary code examples in C++ are given where appropriate.As a special feature the book is accompanied by two easy-to-handle software development environments, which offer access to extensive public domain software for computer vision, classification, and virtual reality. These environments also provide real-time access to peripheral components like, e.g., webcams or microphones, enabling hands-on experimentation and testing.
R 9,735.25
Systems Engineering and Artificial Intelligence
This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
R 6,601.26
R 1,368.00
R 1,527.00
ISE Introduction to Environmental Engineering
Introduction to Environmental Engineering is designed for use in an introductory sophomore-level environmental engineering course with sufficient depth for use in more advanced courses. This book is written to be used in one of the first environmental engineering courses encountered by the student. As such, it provides the fundamental science and engineering principles that instructors in advanced courses may assume are common knowledge for an advanced undergraduate. This title will be available in Connect with the MHeBook, but does not include SmartBook at this time.
R 2,807.00
Systems Engineering and Artificial Intelligence
This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
R 5,936.95
R 4,331.00
R 2,177.00
Loop Engineering for AI Agents
Design reliable agentic AI loops that act autonomously while remaining bounded, observable, independently verifiable, and accountable.Key FeaturesApply a minimum-sufficient-loop framework, adding complexity only when measurable failures justify itConnect agentic AI architecture with organizational design and verified-outcome economicsBuild reliable loops with independent verification, protected evidence, budgets, and escalationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDesigning reliable agentic AI systems requires more than writing the perfect prompt. The central challenge is designing the control system around a probabilistic worker: what it may do, what evidence proves completion, when it may retry, how much it may spend, what state must persist, and when a human must take over. This book provides a practical framework for addressing these challenges.Loop Engineering for AI Agents starts by defining loop engineering and separating it from prompt, context, and harness engineering. You'll examine how persistent AI loops change team structures, governance, management, and the economics of software production. The practical sections turn these principles into implementation through the Ralph fresh-context pattern, local loop architecture, protected verification, durable plans, retry and recovery policies, observability, prompt-injection boundaries, and human escalation.Written by Enrico Papalini, who has over 25 years of software engineering experience, the book provides a signal-first framework for adding only the mechanisms that justify their cost.By the end, you'll understand how to delegate autonomy through explicit completion contracts, independent evidence, bounded resources, authorization policies, reversible state transitions, and accountable human ownership.What you will learnDefine bounded completion contracts for agentic workSeparate workers from verifiers using external evidencePersist intent, state, lessons, and checkpoints outside model contextDesign retry, resume, rollback, and budget policiesProtect specifications, verifiers, and authorization policiesChoose between fresh-context loops and full orchestrationMeasure cost per accepted outcome instead of token usageDesign human-escalation policies for reliable autonomyWho this book is forEngineering leaders evaluating or scaling agentic development workflows, senior software engineers and architects designing AI-agent control systems, and platform and developer-experience engineers building internal AI infrastructure. AI, risk, security, and governance specialists working in controlled or regulated environments will also benefit. Familiarity with software engineering principles and AI-assisted development workflows is recommended.
R 1,628.00
Environmental Geotechnology, Recycled Waste Materials and Sustainable Engineering
This proceedings volume showcases the latest scientific and engineering advances in environmental geotechnology and sustainable engineering, addressing the urgent global need for innovative solutions to environmental degradation, climate change, resource scarcity, and resilient infrastructure development. Featuring peer-reviewed contributions from researchers and practitioners presented at EGRWSE-2026, the book highlights emerging technologies, interdisciplinary methodologies, and practical engineering applications that support sustainable development and environmental stewardship. The volume presents cutting-edge research on circular economy and waste valorization, contaminated site remediation, geoenvironmental characterization and monitoring, renewable energy geotechnics, nature-based and biotechnological solutions, sustainable infrastructure, climate-responsive geoengineering, and advanced ground improvement techniques. Combining fundamental research with laboratory studies, field investigations, modeling, and real-world case studies, the contributions demonstrate how scientific innovation can be translated into practical solutions to protect natural resources, improve infrastructure performance, and enhance environmental resilience. Structured around major thematic areas in environmental geotechnology and sustainable engineering, the book provides an overview of current research trends, technological developments, and future directions. This book can serve as an important reference for researchers, graduate students, practicing engineers, consultants, industry professionals, and policymakers seeking state-of-the-art knowledge and practical solutions to advance sustainable and resilient infrastructure, environmental protection, and responsible resource management in support of the United Nations Sustainable Development Goals.
R 11,532.88
Human Engineering in Stereoscopic Viewing Devices
This book gathers together information concerning the interaction of hu man stereopsis with various stereoscopic viewing devices, especially those used in teleoperator systems. The book is not concerned with machine vi sion systems. In these systems, data analogous to human binocular visual information is gathered and analyzed by some device for use in decision making or control, often without the intervention of a human. This subject presents problems of considerable complexity; it has generated many inge nious solutions and has been the inspiration of much work of fundamental importance. But the problems are quite different from those encountered in the design of systems intended to exploit human stereopsis, and there is surprisingly little cross-fertilization between the two fields. 1. 1. SCOPE AND STRUCTURE OF THIS BOOK The book surveys the known properties of the human unaided binocu lar system, and where possible gives the magnitude of parameters that are of use in designing technical systems involving a human operator. Chapter 2 summarizes the human stereoscopic vision literature including the depth distortions of unaided stereoscopic viewing. Chapter 3 describes a variety of 3-D image viewing techniques and deals with the performance limits of human stereopsis assisted by simple stereoscopic viewing devices. Chapter 4 extends this treatment to television binocular viewing devices, and shows 1 2 Chapter 1 that the nature of the depth distortion is changed. Chapter 5 analyzes the geometry of single camera stereoscopic systems, and discusses the advan tages and disadvantages of such systems.
R 3,022.60
Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques
The development of intelligent transportation systems has become significant in marine engineering especially Autonomous Underwater Vehicles with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including study of experimental investigation combined with hydrodynamic characteristics backed my MATLAB® codes and simulation study results. Features: Covers utilization of machine learning techniques with a focus on marine science and ocean engineering. Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system. Evaluates performance of particle swarm intelligent based optimization techniques. Reviews propulsion performance of the remoted control vehicles based on machine learning techniques. Includes MATLAB® examples and simulation study results.This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.
R 7,560.73
R 4,331.64
