This is an open access book. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28–30, 2023 at the Xiamen, China. With the development of science and technology, information technology and information resources should be actively developed and fully applied in all fields of education and teaching, so as to promote the modernization of education and cultivate talents to meet the needs of society. From the technical point of view, the basic characteristics of educational informatization are digitalization, networking, intelligentization and multi-media. From the perspective of education, the basic characteristics of educational information are openness, sharing, interaction and cooperation. With the advantage of the network, it can provide students with a large amount of information and knowledge by combining different knowledge and information from various aspects in a high frequency. Therefore, we have intensified efforts to reform the traditional teaching methods and set up a new teaching concept, from the interaction between teachers and students in the past to the sharing between students. In short, it forms a sharing learning mode. For all students, strive to achieve students' learning independence, initiative and creativity. To sum up, we will provide a quick exchange platform between education and information technology, so that more scholars in related fields can share and exchange new ideas. The 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) was held on April 28-30, 2023 in Xiamen, China. IEIT 2023 is to bring together innovative academics and industrial experts in the field of Internet, Education and Information Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in Internet, Education and Information Technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Internet, Education and Information Technology and related areas.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China's fast development in this new area, the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) is to be held in April 15-17, 2022. This conference takes “bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on research fields including information technology, education, big data, and Internet. This conference aims to expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, improve academic cooperation between China and the outside world. It also aims to encourage exchange of information on research frontiers in different fields, connect the most advanced academic resources in China and abroad, turn research results into industrial solutions, bring together talents, technologies and capital to boost development.

This volume contains the proceedings of the 2022 iteration of the ISPGAYA meeting, titled “Multidimensional Sustainability: Transitions and Convergences” and held on September 29 and 30th, 2022 in Vila Nova de Gaia, Portugal. The conference and resulting book intend to explore the involvement of Portugal, a country on the semi-periphery of the world system, in developments regarding the understanding of and progress toward sustainability. The conference was organized by ISPGAYA, an institution belonging to the private polytechnic higher education system in Portugal, and brought together participants from around the world. This volume intends to establish a milestone in the multidimensional approach to the theme of sustainability, affirming the concept's multi- and interdisciplinary nature and bringing together scholars across disciplines.

This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.

A Frequency Dictionary of Japanese is an invaluable tool for all learners of Japanese, providing a list of the 5,000 most commonly used words in the language. Based on a100 million word corpus, composed of spoken, fiction, non-fiction and news texts in current use, the dictionary provides the user with a detailed frequency-based list, as well as alphabetical and part-of-speech indices. All entries in the frequency list feature the English equivalent and a sample sentence with English translation. The dictionary also contains 25 thematically organised lists of frequently used words on a variety of topics such as food, weather, occupations and leisure. Numerous bar charts are also included to highlight the phonetic and spelling variants across register. A Frequency Dictionary of Japanese enables students of all levels to maximise their study of Japanese vocabulary in an efficient and engaging way. It is also an excellent resource for teachers of the language.

This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.