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Advanced Internet Protocols, Services, and Applications
by Eiji Oki Roberto Rojas-Cessa Mallikarjun Tatipamula Christian VogtToday, the internet and computer networking are essential parts of business, learning, and personal communications and entertainment. Virtually all messages or transactions sent over the internet are carried using internet infrastructure- based on advanced internet protocols. Advanced internet protocols ensure that both public and private networks operate with maximum performance, security, and flexibility. This book is intended to provide a comprehensive technical overview and survey of advanced internet protocols, first providing a solid introduction and going on to discuss internetworking technologies, architectures and protocols. The book also shows application of the concepts in next generation networks and discusses protection and restoration, as well as various tunnelling protocols and applications. The book ends with a thorough discussion of emerging topics.
Advanced IoT Sensors, Networks and Systems: Select Proceedings of SPIN 2022 (Lecture Notes in Electrical Engineering #1027)
by Vijayan Sugumaran Peter Han Joo Chong Ashwani Kumar DubeyThis volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.
Advanced Issues in Partial Least Squares Structural Equation Modeling
by Marko Sarstedt Christian M. Ringle Joe Hair Siegfried P. GuderganThe Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of A Primer on Partial Least Squares Structural Equation Modeling, Third Edition. Even in this advanced guide, the authors have limited the emphasis on equations, formulas, and Greek symbols, and instead rely on detailed explanations of the fundamentals of PLS-SEM and provide general guidelines for understanding and evaluating the results of applying the method. A single study on corporate reputation features as an example throughout the book, along with a single software package (SmartPLS 4.0) to provide a seamless learning experience. The approach of this book is based on the authors’ many years of conducting research and teaching methodology courses, including developing the SmartPLS software. The preparation of the book, especially this new edition, is based on the authors’ desire to communicate the PLS-SEM method to a much broader audience from management and marketing to engineering, geography, medicine, political and environmental sciences, psychology, and beyond. The Second Edition includes a new chapter on the necessary condition analysis (NCA) and covers the most recent developments in PLS-SEM, with detailed guidelines for estimating and validating higher-order constructs and nonlinear effects as well as more insights on multigroup and latent class analyses using FIMIX-PLS and PLS-POS. The book is aimed at researchers and practitioners who seek to gain comprehensive knowledge of more advanced PLS-SEM methods.
Advanced Issues in Partial Least Squares Structural Equation Modeling
by Marko Sarstedt Christian M. Ringle Joe Hair Siegfried P. GuderganThe Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of A Primer on Partial Least Squares Structural Equation Modeling, Third Edition. Even in this advanced guide, the authors have limited the emphasis on equations, formulas, and Greek symbols, and instead rely on detailed explanations of the fundamentals of PLS-SEM and provide general guidelines for understanding and evaluating the results of applying the method. A single study on corporate reputation features as an example throughout the book, along with a single software package (SmartPLS 4.0) to provide a seamless learning experience. The approach of this book is based on the authors’ many years of conducting research and teaching methodology courses, including developing the SmartPLS software. The preparation of the book, especially this new edition, is based on the authors’ desire to communicate the PLS-SEM method to a much broader audience from management and marketing to engineering, geography, medicine, political and environmental sciences, psychology, and beyond. The Second Edition includes a new chapter on the necessary condition analysis (NCA) and covers the most recent developments in PLS-SEM, with detailed guidelines for estimating and validating higher-order constructs and nonlinear effects as well as more insights on multigroup and latent class analyses using FIMIX-PLS and PLS-POS. The book is aimed at researchers and practitioners who seek to gain comprehensive knowledge of more advanced PLS-SEM methods.
Advanced Java® EE Development with WildFly®
by Deepak VohraThis book is for professional WildFly developers. If you are already using JBoss or WildFly but don't use the Eclipse IDE and Maven for development, this book will show you how the Eclipse IDE and Maven facilitate the development of Java EE applications with WildFly 8.1. This book does not provide a beginner-level introduction to Java EE as it is written as an intermediate/advanced course in Java EE development with WildFly 8.1.
Advanced Joomla!
by Dan RahmelAdvanced Joomla! teaches you advanced techniques for customizing a Joomla! CMS, including creating templates, administration, and building extensions. It will provide the technical know-how and a bonanza of information that will allow you to take your Joomla! sites to the next level. Written by bestselling Beginning Joomla! author Dan Rahmel, Advanced Joomla! picks up right where Beginning Joomla! left off. Amongst other things, it shows you how to integrate advanced features into your Joomla! site, including social networking, blogging, and Google and Yahoo! web services; construct advanced Joomla! templates that use multiple stylesheets; use advanced administration techniques; and employ MySQL data reporting, remote deployment, and quality control using automated testing. Advanced Joomla! assists content providers and web developers in all aspects of Joomla! content creation. For graphic artists and web designers, the professional template techniques and site organization information will prove invaluable. For developers who are weary of the often Byzantine documentation and hunger for clear organized information, Advanced Joomla! holds the key to unlocking the treasures of this advanced CMS system.
Advanced LISP Technology
by Hiroshi G. Okuno Taiichi YuasaDevelopments in Lisp technology have been accelerated by a number of factors, including the increased interest in Artificial Intelligence and the emergence of Common Lisp. Advanced Lisp Technology, the fourth volume in the Advanced Information Processing Technology series, brings together various Japanese researchers working in the field of Lisp te
Advanced LaTeX in Academia: Applications in Research and Education
by Andreas Öchsner Marco ÖchsnerThis book contains a comprehensive treatment of advanced LaTeX features. The focus is on the development of high quality documents and presentations, by revealing powerful insights into the LaTeX language. The well-established advantages of the typesetting system LaTeX are the preparation and publication of platform-independent high-quality documents and automatic numbering and cross-referencing of illustrations or references. These can be extended beyond the typical applications, by creating highly dynamic electronic documents. This is commonly performed in connection with the portable document format (PDF), as well as other programming tools which allow the development of extremely flexible electronic documents.
Advanced Logic Synthesis
by Rolf Drechsler André Inácio ReisThis book provides a single-source reference to the state-of-the-art in logic synthesis. Readers will benefit from the authors' expert perspectives on new technologies and logic synthesis, new data structures, big data and logic synthesis, and convergent logic synthesis. The authors describe techniques that will enable readers to take advantage of recent advances in big data techniques and frameworks in order to have better logic synthesis algorithms.
Advanced Machine Intelligence and Signal Processing (Lecture Notes in Electrical Engineering #858)
by Deepak Gupta Sonali Agarwal Mukesh Prasad Koj SambyoThis book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library #204)
by Seema Jain Margarita N. Favorskaya Janmenjoy Nayak Bighnaraj Naik Manohar MishraThis book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020 (Advances in Intelligent Systems and Computing #1141)
by Ashraf Darwish Aboul Ella Hassanien Roheet BhatnagarThis book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2019, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Advances in Intelligent Systems and Computing #1339)
by Aboul-Ella Hassanien Kuo-Chi Chang Tang MincongThis book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)
by Patrick Siarry Jayaraman Valadi Krishna Pratap Singh Muneendra OjhaThis book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.
Advanced Machine Learning with Python
by John HeartySolve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book * Resolve complex machine learning problems and explore deep learning * Learn to use Python code for implementing a range of machine learning algorithms and techniques * A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn * Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms * Apply your new found skills to solve real problems, through clearly-explained code for every technique and test * Automate large sets of complex data and overcome time-consuming practical challenges * Improve the accuracy of models and your existing input data using powerful feature engineering techniques * Use multiple learning techniques together to improve the consistency of results * Understand the hidden structure of datasets using a range of unsupervised techniques * Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach * Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.
Advanced Machine Learning with R: Tackle data analytics and machine learning challenges and build complex applications with R 3.5
by Cory Lesmeister Dr. Sunil ChinnamgariMaster machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook DescriptionR is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics.This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll tackle realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. You'll explore different clustering techniques to segment customers using wholesale data and use TensorFlow and Keras-R for performing advanced computations. You’ll also be introduced to reinforcement learning along with its various use cases and models. Additionally, it shows you how some of these black-box models can be diagnosed and understood.By the end of this Learning Path, you’ll be equipped with the skills you need to deploy machine learning techniques in your own projects.This Learning Path includes content from the following Packt products:R Machine Learning Projects by Dr. Sunil Kumar ChinnamgariMastering Machine Learning with R - Third Edition by Cory LesmeisterWhat you will learnDevelop a joke recommendation engine to recommend jokes that match users’ tastesBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networksMake predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationProduce simple and effective data visualizations for improved insightsUse NLP to extract insights for textImplement tree-based classifiers including random forest and boosted treeWho this book is forIf you are a data analyst, data scientist, or machine learning developer this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this Learning Path.
Advanced Machining and Micromachining Processes (Advances in Production Engineering)
by Sandip Kunar Norfazillah Binti Talib Gurudas MandalThis book offers a comprehensive overview of the fundamentals, principles, and latest innovations in advanced machine and micromachining processes. Businesses are continually seeking innovative advanced machining and micromachining techniques that optimize efficiency while reducing environmental harm. This growing competitive pressure has spurred the development of sophisticated design and production concepts. Modern machining and micromachining methods have evolved to accommodate the use of newer materials across diverse applications, while ensuring precise machining accuracy. The primary aim of this book is to explore and analyze various approaches in modern machining and micromachining processes, with a focus on their effectiveness and application in successful product development. Consequently, the book emphasizes an industrial engineering perspective. This book covers a range of advanced machining and micromachining processes that can be utilized by the manufacturing industry to enhance productivity and contribute to socioeconomic development. Additionally, it highlights ongoing research projects in the field and provides insights into the latest advancements in advanced machining and micromachining techniques. The 31 chapters in the book cover the following subjects: abrasive jet machining; water jet machining; principles of electro discharge machining; wire-electro discharge machining; laser beam machining; plasma arc machining; ion beam machining; electrochemical machining; ultrasonic machining; electron beam machining; electrochemical grinding; photochemical machining process; abrasive-assisted micromachining; abrasive water jet micromachining; electro discharge machining; electrochemical micromachining; ultrasonic micromachining; laser surface modification techniques; ion beam processes; glass workpiece micromachining using electrochemical discharge machining; abrasive water jet machining; ultrasonic vibration-assisted micromachining; laser micromachining’s role in improving tool wear resistance; stress; and surface roughness in high-strength alloys; abrasive flow finishing process; elastic emission machining; magnetic abrasive finishing process; genetic algorithm for multi-objective optimization in machining; machining of Titanium Grade-2 and P-20 tool steel; and wet bulk micromachining in MEMS fabrication. Audience The book is intended for a wide audience including mechanical, manufacturing, biomedical, and industrial engineers and R&D researchers involved in advanced machining and micromachining technology.
Advanced Maintenance Policies for Shock and Damage Models (Springer Series in Reliability Engineering)
by Toshio Nakagawa Xufeng ZhaoThis book surveys the recent development of maintenance theory, advanced maintenance techniques with shock and damage models, and their applications in computer systems dealing with efficiency problems. It also equips readers to handle multiple maintenance, informs maintenance policies, and explores comparative methods for several different kinds of maintenance. Further, it discusses shock and damage modelling as an important failure mechanism for reliability systems, and extensively explores the degradation processes, failure modes, and maintenance characteristics of modern, highly complex systems, especially for some key mechanical systems designed for specific tasks.
Advanced Manufacturing Processes II: Selected Papers from the 2nd Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2020), September 8-11, 2020, Odessa, Ukraine (Lecture Notes in Mechanical Engineering)
by Vitalii Ivanov Justyna Trojanowska Ivan Pavlenko Milan Edl Volodymyr Tonkonogyi Gennadii Oborskyi Ivan Kuric Predrag Dasic Anatolii GrabchenkoThis book offers a timely yet comprehensive snapshot of innovative research and developments at the interface between manufacturing, materials and mechanical engineering, and quality assurance. It covers a wide range of manufacturing processes, such as cutting, grinding, assembly, and coatings, including ultrasonic treatment, molding, radial-isostatic compression, ionic-plasma deposition, volumetric vibration treatment, and wear resistance. It also highlights the advantages of augmented reality, RFID technology, reverse engineering, optimization, heat and mass transfer, energy management, quality inspection, and environmental impact. Based on selected papers presented at the Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2020), held in Odessa, Ukraine, on September 8–11, 2020, this book offers a timely overview and extensive information on trends and technologies in production planning, design engineering, advanced materials, machining processes, process engineering, and quality assurance. It is also intended to facilitate communication and collaboration between different groups working on similar topics and offer a bridge between academic and industrial researchers.
Advanced Manufacturing Processes III: Selected Papers from the 3rd Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2021), September 7-10, 2021, Odessa, Ukraine (Lecture Notes in Mechanical Engineering)
by Vitalii Ivanov Justyna Trojanowska Ivan Pavlenko Volodymyr Tonkonogyi Gennadii OborskyiThis book offers a timely snapshot of innovative research and developments at the interface between manufacturing, materials and mechanical engineering, and quality assurance. It covers a wide range of manufacturing processes, such as grinding, boring, milling, turning, woodworking, coatings, including additive manufacturing. It focuses on laser, ultrasonic, and combined laser–ultrasonic hardening treatments, and dispersion hardening. It describes tribology and functional analysis of coatings, separation, purification and filtration processes, as well as ecological recirculation and electrohydraulic activation, highlighting the growing role of digital twins, optimization and lifecycle management methods, and quality inspection processes. It also covers cutting-edge heat and mass transfer technologies and energy management methods. Gathering the best papers presented at the 3rd Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2021), held in Odessa, Ukraine, on September 7–10, 2021, this book offers a timely overview and extensive information on trends and technologies in manufacturing, mechanical, and materials engineering, and quality assurance. It is also intended to facilitate communication and collaboration between different groups working on similar topics and to offer a bridge between academic and industrial researchers.
Advanced Manufacturing Processes: Selected Papers from the Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2019), September 10-13, 2019, Odessa, Ukraine (Lecture Notes in Mechanical Engineering)
by Vitalii Ivanov Justyna Trojanowska Ivan Pavlenko Milan Edl Volodymyr Tonkonogyi Gennadii Oborskyi Ivan Kuric Predrag DasicThis book offers a timely yet comprehensive snapshot of innovative research and developments in the area of manufacturing. It covers a wide range of manufacturing processes, such as cutting, coatings, and grinding, highlighting the advantages provided by the use of new materials and composites, as well as new methods and technologies. It discusses topics in energy generation and pollution prevention. It shows how computational methods and mathematical models have been applied to solve a number of issues in both theoretical and applied research. Based on selected papers presented at the Grabchenko’s International Conference on Advanced Manufacturing Processes (InterPartner-2019), held in Odessa, Ukraine on September 10-13, 2019, this book offers a timely overview and extensive information on trends and technologies in the area of manufacturing, mechanical and materials engineering. It is also intended to facilitate communication and collaboration between different groups working on similar topics, and to offer a bridge between academic and industrial researchers.
Advanced Manufacturing and Automation IX (Lecture Notes in Electrical Engineering #634)
by Yi Wang Kesheng Wang Tao Yu Kristian MartinsenThis book presents selected papers from the 9th International Workshop of Advanced Manufacturing and Automation (IWAMA 2019), held in Plymouth, UK, on November 21–22, 2019. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation VIII (Lecture Notes in Electrical Engineering #484)
by Yi Wang Kesheng Wang Jan Ola Strandhagen Tao YuThis proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.
Advanced Manufacturing and Automation X (Lecture Notes in Electrical Engineering #737)
by Yi Wang Kesheng Wang Tao Yu Kristian MartinsenThis book presents selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, Guangdong province, China, on October 12-13, 2020. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation XI (Lecture Notes in Electrical Engineering #880)
by Yi Wang Kesheng Wang Tao Yu Kristian MartinsenThe proceedings collect selected papers from the 11th International Workshop of Advanced Manufacturing and Automation (IWAMA 2021), held in Zhengzhou Polytechnic, China on 11 - 12 October, 2021. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineering to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.