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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering

Technology, Human Performance, and Nuclear Facilities - A Systems Engineering Approach to Reduce Human Error (Hardcover):... Technology, Human Performance, and Nuclear Facilities - A Systems Engineering Approach to Reduce Human Error (Hardcover)
Jonathan K. Corrado
R1,417 Discovery Miles 14 170 Ships in 12 - 17 working days

This book statistically confirms that complexity and changing technologies that affect the way operators interact within the systems of the nuclear facili-ties exacerbate the severity of incidents caused by human error and details the application of the systems engineering process to reduce human error given industries' rapidly advancing technology. Technology, Human Performance, and Nuclear Facilities: A Systems Engineering Approach to Reduce Human Error provides a basic understand-ing of Human Error/ P erformance and its relation to industrial operations and advancing technologies incorporated into facilities. The book discusses the context surrounding the complexity of changing technologies at nuclear facili-ties and the potential worsening of problems caused by human error when technology advancements concerning operator interaction with control sys-tems are implemented. It presents how to reduce human error propensity given the incorporation of advanced technology and covers ways to reduce human error using the systems engineering process. Also offered are several concepts related to the operator's involvement in the systems engineering process and the human performance integration with system operational requirements and system testing, evaluation, and validation, and the procedures and training development in the systems engineering process. This book presents empirical evidence for the importance of human performance management in the con-text of nuclear facilities and offers practical recommendations for the improve-ment of this function. Systems engineers, plant/ design engineers, the nuclear industry, plant operations management, and those involved in industrial and nuclear safety will find something of interest in this book.

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure (Hardcover): Mz Naser Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure (Hardcover)
Mz Naser
R4,683 Discovery Miles 46 830 Ships in 12 - 17 working days

Showcases the state-of-the-art research in the area of AI with specific consideration to engineering, management and safety of civil construction. Offers detailed insights towards applying AI into design, construction and maintenance of infrastructure Leverages the various sub-disciplines of AI to arrive at modern, smart, and safe infrastructure as well as achieve a synergy between users/commuters and such structures. Covers practical case studies of primary interest to students, researchers, engineers, social scientists and government officials.

Control Engineering Theory and Applications (Hardcover): Jahangir Alam, Guoqing Hu, Hafiz Md. Hasan Babu, Huazhong Xu Control Engineering Theory and Applications (Hardcover)
Jahangir Alam, Guoqing Hu, Hafiz Md. Hasan Babu, Huazhong Xu
R2,887 Discovery Miles 28 870 Ships in 12 - 17 working days

The book provides general knowledge of automatic control engineering and its applications. Providing an overview of control theory and systems, the chapters introduce transfer functions, modeling of control systems, automatic control systems, block diagrams, and signal flow graphs. While control system analysis and design are accompanied by root-locus methods and frequency response analyses, distributed control systems, nonlinarity in control systems including Z-transformation are also presented. With straightforward demonstrations, examples, and multiple-choice questions, this book can be used as a reference textbook for electrical and electronics engineering, computer control engineering, automation engineering, mechatronics engineering, mechanics, robotics, AI control systems, hydraulics, process engineering, safety control engineering, aeronautical and aerospace engineering, auto-pilot system, decision-making system, and stock exchange, and will be suitable for majors, non-majors, and experts in the field of science and technology.

Electromagnetics, Control and Robotics - A Problems & Solutions Approach (Hardcover): Harish Parthasarathy Electromagnetics, Control and Robotics - A Problems & Solutions Approach (Hardcover)
Harish Parthasarathy
R4,413 Discovery Miles 44 130 Ships in 12 - 17 working days

This book covers a variety of problems, and offers solutions to some, in: Statistical state and parameter estimation in nonlinear stochastic dynamical system in both the classical and quantum scenarios Propagation of electromagnetic waves in a plasma as described by the Boltzmann Kinetic Transport Equation Classical and Quantum General Relativity It will be of use to Engineering undergraduate students interested in analysing the motion of robots subject to random perturbation, and also to research scientists working in Quantum Filtering.

Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 (Hardcover): Indranath Chatterjee, Rajanish K. Kamat,... Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 (Hardcover)
Indranath Chatterjee, Rajanish K. Kamat, Sheetal S. Zalte-Gaikwad
R4,355 Discovery Miles 43 550 Ships in 12 - 17 working days

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers - Big Data and Cloud Computing - and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0. By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

A Concise Introduction to Robot Programming with ROS2 (Hardcover): Francisco Martin Rico A Concise Introduction to Robot Programming with ROS2 (Hardcover)
Francisco Martin Rico
R3,488 Discovery Miles 34 880 Ships in 12 - 17 working days

Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python). Approaches ROS2 from three different but complementary dimensions; the Community, Computation Graph, and the Workspace. Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup and use. A GitHub repository with code to assist readers.

Robot memory game (Cards): Mieke Gerritzen Robot memory game (Cards)
Mieke Gerritzen
R460 R319 Discovery Miles 3 190 Save R141 (31%) Ships in 12 - 17 working days

Robot Memory Game gives an overview of the many areas robots appear in our society. All robot domains will get a description to explain the robot on the latest developments and reason they exist. The introduction faces the position of the robot in our human environment. All memory sets will contain two different examples.

Protocol-Based Sliding Mode Control - 1D and 2D System Cases (Hardcover): Jun Song, Zidong Wang, Yugang Niu Protocol-Based Sliding Mode Control - 1D and 2D System Cases (Hardcover)
Jun Song, Zidong Wang, Yugang Niu
R4,513 Discovery Miles 45 130 Ships in 12 - 17 working days

This book discusses the Sliding Mode Control (SMC) problems of networked control systems (NCSs) under various communication protocols including static/dynamic/periodic event-triggered mechanism, and stochastic communication, Round-Robin, weighted try-once-discard, multiple-packet transmission, and the redundant channel transmission protocol. The super-twisting algorithm and the extended-state-observer-based SMC scheme are described in this book for suppressing chattering. Besides, the SMC designs for two-dimensional (1-D) and two-dimensional (2-D) NCSs are illustrated as well. Features: Captures recent advances of theories, techniques, and applications of networked sliding mode control from an engineering-oriented perspective. Includes new design ideas and optimization techniques of networked sliding mode control theory. Provides advanced tools to apply networked sliding mode control techniques in the practical applications. Discusses some new tools to the engineering applications while dealing with the model uncertainties and external disturbances. This book aims at Researchers and professionals in Control Systems, Computer Networks, Internet of Things, and Communication Systems.

Next Generation Healthcare Systems Using Soft Computing Techniques (Hardcover): Rohit Raja, Korhan Cengiz, Hiral Raja, Rekh Ram... Next Generation Healthcare Systems Using Soft Computing Techniques (Hardcover)
Rohit Raja, Korhan Cengiz, Hiral Raja, Rekh Ram Janghel
R3,037 Discovery Miles 30 370 Ships in 12 - 17 working days

This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems. This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors. Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to-and at the same time brings industry professionals up to speed with-the important role soft computing techniques play in smart healthcare systems.

Control and State Estimation for Dynamical Network Systems with Complex Samplings (Hardcover): Bo Shen, Zidong Wang, Qi Li Control and State Estimation for Dynamical Network Systems with Complex Samplings (Hardcover)
Bo Shen, Zidong Wang, Qi Li
R3,489 Discovery Miles 34 890 Ships in 12 - 17 working days

This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations. Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective Systematically introduces the complex sampling concept, methods, and application for the control and state estimation Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.

What Every Engineer Should Know about Software Engineering (Hardcover, 2nd edition): Phillip A Laplante, Mohamad Kassab What Every Engineer Should Know about Software Engineering (Hardcover, 2nd edition)
Phillip A Laplante, Mohamad Kassab
R3,501 Discovery Miles 35 010 Ships in 12 - 17 working days

Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, construction Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs Helps answer the question: How can I better leverage embedded software in my design? Adds new chapters on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity Features new appendices that describe a sample automation system, covering software requirements, architecture, and design

Control Strategies of Permanent Magnet Synchronous Motor Drive for Electric Vehicles (Hardcover): Chiranjit Sain, Atanu... Control Strategies of Permanent Magnet Synchronous Motor Drive for Electric Vehicles (Hardcover)
Chiranjit Sain, Atanu Banerjee, Pabitra Kumar Biswas
R4,350 Discovery Miles 43 500 Ships in 12 - 17 working days

Introduces performance indicators in a self-controlled Permanent Magnet Synchronous Motor (PMSM) machine to justify the dynamic behavior Discusses comparative performance study and optimization of the drive performance Provides detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive Includes illustrations and case studies using mathematical modeling and real-time test-results Discusses state of the art on solar powered energy efficient PMSM drive with various issues

Data Mining and Exploration - From Traditional Statistics to Modern Data Science (Hardcover): Chong Ho Alex Yu Data Mining and Exploration - From Traditional Statistics to Modern Data Science (Hardcover)
Chong Ho Alex Yu
R4,072 Discovery Miles 40 720 Ships in 12 - 17 working days

Helps readers to transition from traditional statistics to modern data science Reviews the pros and cons of open source and commercial software packages, and their proper applications in specific situations. Explores data using dynamic methods rather than counting on dichotomous thinking. Considers alternate models using ensemble models and model comparison rather than fixing a preconceived hypothesis/model on a single method. Shows how to find the hidden pattern in the data by dynamic visualization rather than over-relying on numeric results.

Human Compatible - Artificial Intelligence and the Problem of Control (Paperback): Stuart Russell Human Compatible - Artificial Intelligence and the Problem of Control (Paperback)
Stuart Russell
R422 Discovery Miles 4 220 Ships in 12 - 17 working days

A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.

A First Course in Machine Learning (Paperback, 2nd edition): Simon Rogers, Mark Girolami A First Course in Machine Learning (Paperback, 2nd edition)
Simon Rogers, Mark Girolami
R1,263 Discovery Miles 12 630 Ships in 9 - 15 working days

"A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." -Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." -Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." -Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." -David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." -Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning...The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." -Guangzhi Qu, Oakland University, Rochester, Michigan, USA

Edutech Enabled Teaching - Challenges and Opportunities (Hardcover): Manpreet Singh Manna, Balamurugan Balusamy, Kiran Sood,... Edutech Enabled Teaching - Challenges and Opportunities (Hardcover)
Manpreet Singh Manna, Balamurugan Balusamy, Kiran Sood, Naveen Chilamkurti, Ignisha Rajathi George
R3,920 Discovery Miles 39 200 Ships in 12 - 17 working days

The primary goal of this book is to address the issues faced by teachers in the adoption of digital tools into their teaching and their students learning. This book also addresses the issues confronting educators in the integration of digital technologies into their teaching and their students' learning. Such issues include a skepticism of the added value of technology to educational learning outcomes, the perception of the requirement to keep up with the fast pace of technological innovation, a lack of knowledge of affordable educational digital tools and a lack of understanding of pedagogical strategies to embrace digital technologies in their teaching. This book presents theoretical perspectives of learning and teaching today's digital students with technology and proposes a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies in a systematic, coherent and comfortable manner so that technology integration becomes an almost effortless pedagogy in their day-to-day teaching. Some of the objectives are given below: Shares valuable insights into the influence of technology on teaching and learning in higher education Provides deeper insights on higher education and sustainability interact Studies innovations from various perspectives Investigates how the educators and students apply the unique innovative and emotional dimensions in modern age of learning Provides a timely overview of changes in education reforms and policy research globally Evaluates the problematic relationship between globalization, the state, and education reforms.

Creativity in Teaching and Teaching for Creativity - Modern Practices in the Digital Era in Engineering (Hardcover): Lucy... Creativity in Teaching and Teaching for Creativity - Modern Practices in the Digital Era in Engineering (Hardcover)
Lucy Lunevich, Majed Wadaani
R1,514 Discovery Miles 15 140 Ships in 12 - 17 working days

In this book, the authors write about creativity in teaching and how to enhance creativity in learners. They highlight the new reality of teaching and learning in the digital era, specifically the impact of artificial intelligence, data economy, and artificial minds on modern teaching practices, curriculum design, and the role of teachers in classrooms. Creativity in Teaching and Teaching for Creativity: Modern Practices in the Digital Era approaches human intelligence as a universal gift. It emphasizes that the creativity of human beings is not only a natural quality, but one that can be enhanced as a result of learning. The book suggests new teaching models and approaches and discusses how the role of teachers in the classroom has fundamentally changed, emphasizing the emotional connection between students and teachers. The book will find interest among higher education policymakers who believe in the transformation of the education industry, research scholars who are pursuing their Ph.D. in the fields of education technology and education and learning, as well as those working in the area of education technology and artificial intelligence.

Knowledge Guided Machine Learning - Accelerating Discovery using Scientific Knowledge and Data (Hardcover): Anuj Karpatne,... Knowledge Guided Machine Learning - Accelerating Discovery using Scientific Knowledge and Data (Hardcover)
Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar
R3,066 Discovery Miles 30 660 Ships in 12 - 17 working days

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML

Workflow Scheduling on Computing Systems (Hardcover): Kenli Li, Xiaoyong Tang, Jing Mei, Longxin Zhang, Wangdong Yang, Keqin Li Workflow Scheduling on Computing Systems (Hardcover)
Kenli Li, Xiaoyong Tang, Jing Mei, Longxin Zhang, Wangdong Yang, …
R2,396 Discovery Miles 23 960 Ships in 12 - 17 working days

This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods. It offers a whole new perspective and holistic approach in understanding computing systems' workflow scheduling. Expressing and exposing approaches for various process-centric cloud-based applications give a full coverage of most systems' energy consumption, reliability, resource utilization, cost, and application stochastic computation. By combining theory with application and connecting mathematical concepts and models with their resource management targets, this book will be equally accessible to readers with both Computer Science and Engineering backgrounds. It will be of great interest to students and professionals alike in the field of computing system design, management, and application. This book will also be beneficial to the general audience and technology enthusiasts who want to expand their knowledge on computer structure.

Visual Perception and Control of Underwater Robots (Paperback): Junzhi Yu, Xingyu Chen, Shihan Kong Visual Perception and Control of Underwater Robots (Paperback)
Junzhi Yu, Xingyu Chen, Shihan Kong
R1,435 Discovery Miles 14 350 Ships in 12 - 17 working days

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in the sea. The second is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Additionally, the mainstream technologies covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from this work.

Nonlinear Dynamics and Vibration Control of Flexible Systems (Hardcover): Jie Huang Nonlinear Dynamics and Vibration Control of Flexible Systems (Hardcover)
Jie Huang
R3,210 Discovery Miles 32 100 Ships in 12 - 17 working days

1) Covers different types of cranes including bridge cranes, tower cranes, aerial cranes and dual cranes 2) Provides different industrial applications 3) Demonstrates how to reduce unwanted vibrations to ensure safe and effective operations 4) Discusses how to use advanced control methods in order to reduce vibration

Robotics and Automation in the Food Industry - Current and Future Technologies (Hardcover, New): Darwin G Caldwell Robotics and Automation in the Food Industry - Current and Future Technologies (Hardcover, New)
Darwin G Caldwell
R5,116 Discovery Miles 51 160 Ships in 12 - 17 working days

The implementation of robotics and automation in the food sector offers great potential for improved safety, quality and profitability by optimising process monitoring and control. Robotics and automation in the food industry provides a comprehensive overview of current and emerging technologies and their applications in different industry sectors.
Part one introduces key technologies and significant areas of development, including automatic process control and robotics in the food industry, sensors for automated quality and safety control, and the development of machine vision systems. Optical sensors and online spectroscopy, gripper technologies, wireless sensor networks (WSN) and supervisory control and data acquisition (SCADA) systems are discussed, with consideration of intelligent quality control systems based on fuzzy logic. Part two goes on to investigate robotics and automation in particular unit operations and industry sectors. The automation of bulk sorting and control of food chilling and freezing is considered, followed by chapters on the use of robotics and automation in the processing and packaging of meat, seafood, fresh produce and confectionery. Automatic control of batch thermal processing of canned foods is explored, before a final discussion on automation for a sustainable food industry.
With its distinguished editor and international team of expert contributors, Robotics and automation in the food industry is an indispensable guide for engineering professionals in the food industry, and a key introduction for professionals and academics interested in food production, robotics and automation.
Provides a comprehensive overview of current and emerging robotics and automation technologies and their applications in different industry sectorsChapters in part one cover key technologies and significant areas of development, including automatic process control and robotics in the food industry and sensors for automated quality and safety controlPart two investigates robotics and automation in particular unit operations and industry sectors, including the automation of bulk sorting and the use of robotics and automation in the processing and packaging of meat, seafood, fresh produce and confectionery

Coded Leadership - Developing Scalable Management in an AI-induced Quantum World (Hardcover): Pinisetti Swami Sairam,... Coded Leadership - Developing Scalable Management in an AI-induced Quantum World (Hardcover)
Pinisetti Swami Sairam, Hemachandran K, Raul Villamarin Rodriguez
R2,378 Discovery Miles 23 780 Ships in 12 - 17 working days

Introduction to Quantum Natural Language Processing. Overview of Leadership and AI. The Age of Quantum Superiority. Challenges To Today's Leadership. AI-induced Strategic Implementation and Organizational Performance.

Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback): Przemyslaw Biecek, Tomasz Burzykowski Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback)
Przemyslaw Biecek, Tomasz Burzykowski
R1,456 Discovery Miles 14 560 Ships in 12 - 17 working days

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Robotic Nondestructive Testing Technology (Hardcover): Chunguang Xu Robotic Nondestructive Testing Technology (Hardcover)
Chunguang Xu; Contributions by Shan Guo
R4,691 Discovery Miles 46 910 Ships in 12 - 17 working days

The content of this book includes a variety of nondestructive testing (NDT) methods, with many introductions to testing and application cases. The book proposes new ultrasonic testing technology for complex workpieces. It is hard for traditional NDT technology to realize the automatic detection of complex curved components, especially the automatic high-precision nondestructive detection of curved-surface components with variable curvature, variable thickness and complex contour. Therefore, the robotic NDT technique as a combination of manipulator technique and NDT technique can further improve the efficiency and accuracy of NDT. Robotic NDT Technique combines the physical principle of nondestructive testing with the flexible motion control of spatial attitude of articulated manipulator. With NDT as the constraint, it controls the motion attitude and azimuth angle of a transmitting and receiving transducer. Thus traditional NDT technique has developed from plane to curved surface, from 2D to many dimensions and from artificiality to intelligence, into a unique and systematic interdisciplinary robotic NDT technique.

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