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This book is a continuation of our recently published book “Algebraic formalization of smart systems. Theory and practice.” It incorporates a new concept of quasi-fractal algebraic systems, based on A.I. Maltsev’s theory of algebraic systems and the theory of fractals developed by Benoit Mandelbrot, to investigate smart systems in more detail. The main tool used in the book, quasi-fractal algebraic systems, helps us to see smart systems in more detail by adding new factors, which e.g. make it possible to describe the previously indivisible elements of the initial model of factors. The techniques presented include fixed-point theorem, theorems of group theory, theory of Boolean algebras, and Erdös-Renyi algorithms. Given its focus, the book is intended for anyone interested in smart system theory.
This book contains the contributions presented at the 8th International KES Conference on Smart Education and e-Learning (KES SEEL 2021), which being held as a virtual conference on June 14–16, 2021. It contains high-quality peer-reviewed papers that are grouped into several interconnected parts: smart education; smart e-learning; smart education: systems and technology; smart education: case studies and research; digital education and economics in smart university, smart university development: organizational, managerial and social Issues; smart universities and their Impact on students with disabilities. This book serves as a useful source of research data and valuable information on current research projects, best practices, and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners— all those who are interested in smart education and smart e-learning.
This book contains the contributions presented at the 10th international KES conference on Smart Education and e-Learning (SEEL-2023) with the Smart University as the main conference theme. The conference is being held on June 14-16, 2023 in Rome, Italy in both in-person and online modes. The book contains high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart University, Part 4 – Smart Education: Case Studies and Research, and Part 5 – Smart Company: Case Studies and Research. Smart education, smart e-learning, smart universities and smart companies are emerging and rapidly growing areas with the potential to transform the existing teaching strategies, learning environments, and educational/training activities and technology in academic institutions and training centers. Smart education/training and smart e-learning are focused on enabling instructors/trainers to develop innovative ways of achieving excellence in teaching in highly technological smart classrooms/labs, and providing students/learners with new opportunities to maximize their success and select the best options for their education/training, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education, smart e-learning, smart university and smart business/company paradigms, concepts, systems and technology.
This book contains the contributions presented at the 7th international KES conference on Smart Education and e-Learning (KES SEEL-2020), which being held as a virtual conference on June 17-19, 2020. It contains fifty three high quality peer-reviewed papers that are grouped into several interconnected parts: Part 1 – Smart Education, Part 2 – Smart e-Learning, Part 3 – Smart Pedagogy, Part 4 - Smart Education: Systems and Technology, Part 5 – Smart Education: Case Studies and Research, Part 6 - Smart University Development: Organizational and Managerial Issues, Part 7 - Smart Education and Smart Universities and their Impact on Students with Disabilities, Part 8 - Mathematical Models in Smart Education and e-Learning, and Part 9 - Models of Professional Practice in Higher Education. Smart education and smart e-learning are emerging and rapidly growing areas with the potential to transform existing teaching strategies, learning environments, and educational activities and technology in the classroom. Smart education and smart e-learning focus on enabling instructors to develop new ways of achieving excellence in teaching in highly technological smart classrooms, and providing students with new opportunities to maximize their success and select the best options for their education, location and learning style, as well as the mode of content delivery. This book serves as a useful source of research data and valuable information on current research projects, best practices and case studies for faculty, scholars, Ph.D. students, administrators, and practitioners – all those who are interested in smart education and smart e-learning.
This book serves as a reference for researchers and practitioners in academia and industry. Smart education, smart e-learning and smart pedagogy are emerging and rapidly growing areas that have a potential to transform existing teaching strategies, learning environments and educational activities and technology. They are focused at enabling instructors to develop innovative ways of achieving excellence in teaching in highly technological smart university and providing students with new opportunities to maximize their success using smart classrooms, smart systems and technology. This book contains the contributions presented at the 9th international KES conference on Smart Education and e-Learning (SEEL-2022) with the Smart Pedagogy as the main conference theme. It comprises of forty nine high-quality peer-reviewed papers that are grouped into several interconnected parts: Part 1—Smart Pedagogy, Part 2—Smart Education, Part 3—Smart e-Learning, Part 4—Smart University, Part 5—Smart Education: Systems and Technology, Part 6—Digital Humanities and Social Sciences for Smart University Development: the Innovative Methods, Models and Technologies, Part 7—Digital Transformation of Education and Economics in Smart University and Part 8—Smart Education for Children with Special Educational Needs. We believe this book will serve as a useful source of research data and valuable information for faculty, scholars, Ph.D. students, administrators and practitioners—those who are interested in smart education, smart e-learning and smart pedagogy.
This book reveals the general laws of the theory of smart systems with the help of a very powerful and expressive language of algebraic formalization. It also shows how this language can be used to substantiate practical results in the field of smart systems, which previously had only an empirical justification. Further, it proposes a translation of the theory of smart systems from verbal language to a much more expressive language of algebraic formalization, allowing the laws of the theory of smart systems to be seen in a different light. In 1937 L. Bertalanffy proposed the concept of an algebraic system and the development of a mathematical apparatus for describing systems. In the 1970s, A.I. Mal'tsev developed a theory of algebraic systems connecting algebra and logic for studying algebraic and logical objects. In the 1990s, the concept of purities by predicates was introduced by one of the authors, and the book includes some of its applications. The concept, which is based on the theory of algebraic systems, allows clarification of the connections between quantitative and qualitative analysis of a system. The book is intended for readers who use elements of artificial intelligence in their work.
This volume gathers articles presented at a prominent European conference on smart systems and summarizes the activities carried out by a research and training network supported by the European community. The contributions aim to exhibit new research topics in the areas of materials science, advanced mathematical tools, and elements of control and numerical algorithms relevant to the design and optimization of smart systems.
This volume gathers articles presented at a prominent European conference on smart systems and summarizes the activities carried out by a research and training network supported by the European community. The contributions aim to exhibit new research topics in the areas of materials science, advanced mathematical tools, and elements of control and numerical algorithms relevant to the design and optimization of smart systems.