The 2020 Chinese Automation Congress (CAC2020) will provide a platform for all scholars and technicians in automation and intelligent manufacturing from academy and industry to share ideas, and to present the latest scientific and technical advances

This book gathers outstanding papers presented at the China SAE Congress 2022, featuring contributions mainly from China, the biggest carmaker as well as most dynamic car market in the world. The book covers a wide range of automotive-related topics and the latest technical advances in the industry. Many of the approaches in the book help technicians to solve practical problems that affect their daily work. In addition, the book offers valuable technical support to engineers, researchers, and postgraduate students in the field of automotive engineering.

This book constitutes the refereed proceedings of seven International Workshops which were held in conjunction with the 27th European Symposium on Research in Computer Security, ESORICS 2022, held in hybrid mode, in Copenhagen, Denmark, during September 26-30, 2022. The 39 papers included in these proceedings stem from the following workshops: 8th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2022, which accepted 8 papers from 15 submissions; 6th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2022, which accepted 2 papers from 5 submissions; Second Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2022, which accepted 4 full papers out of 13 submissions; Third Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2022, which accepted 9 full and 1 short paper out of 19 submissions; Second International Workshop on Cyber Defence Technologies and Secure Communications at the Network Edge, CDT & SECOMANE 2022, which accepted 5 papers out of 8 submissions; First International Workshop on Election Infrastructure Security, EIS 2022, which accepted 5 papers out of 10 submissions; and First International Workshop on System Security Assurance, SecAssure 2022, which accepted 5 papers out of 10 submissions. Chapter(s) “Measuring the Adoption of TLS Encrypted Client Hello Extension and Its Forebear in the Wild” is/are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book is essential for anyone looking to understand how hyperautomation can revolutionize businesses by simplifying operations, reducing errors, and creating more intelligent and adaptable workplaces through the use of automation technologies such as artificial intelligence, machine learning, and robotic process automation. The use of automation technologies to simplify any and every activity conceivable in a business, allowing repeated operations to operate without manual intervention, is known as hyperautomation. Hyperautomation transforms current and old processes and equipment by utilizing artificial intelligence, machine learning, and robotic process automation. This digital transformation may assist a business in gaining cost and resource efficiency, allowing it to prosper in a more competitive environment. With the advancement of automation technologies, hyperautomation is becoming more prevalent. Companies are shifting their methods to create more human-centered and intelligent workplaces. This change has ushered in a new era for organizations that rely on technology and automation tools to stay competitive. Businesses may move beyond technology’s distinct advantages to genuine digital agility and scale adaptability when all forms of automation operate together in close partnership. Automation tools must be simple to incorporate into the current technological stack while not requiring too much effort from IT. A platform must be able to plug and play with a wide range of technologies to achieve hyperautomation. The interdependence of automation technologies is a property that is connected to hyperautomation. Hyperautomation saves individuals time and money by reducing errors. Hyperautomation has the potential to create a workplace that is intelligent, adaptable, and capable of making quick, accurate decisions based on data and insights. Model recognition is used to determine what to do next and to optimize processes with the least amount of human engagement possible.

The Software Principles of Design for Data Modeling, written by Debabrata Samanta of Rochester Institute of Technology in Kosovo, offers a practical and comprehensive solution to the challenges of designing effective software architecture for data modeling. This book covers key topics such as gathering requirements, modeling requirements with use cases, testing the system, building entity-relationship models, building class models in UML with patterns of data modeling and software quality attributes, and use case modeling. It also includes case studies of relational and object-relational database schema design. The unique approach of this book lies in its unifying method for designing software architecture for data modeling. It addresses specific design issues for various types of software systems, including object-oriented, client/server, service-oriented, component-based, real-time, and software product line architectures. With its practical guidance, standard method for modeling requirements and analysis, and comprehensive coverage of key topics and case studies, this book is a must-read for anyone interested in designing effective software architecture for data modeling, whether you are an academic scholar or a professional in the field.

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.