Proceedings Of The 2020 Digitalfutures

This open access book is a compilation of selected papers from 2020 DigitalFUTURES—The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020). The book focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers will encounter new ideas about understanding intelligence in architecture.

The “2019 DigitalFUTURES — The 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019)” provides an international platform for advanced scientific research papers on the digital technology of architectural design and construction. The themes of the papers include, but are not limited to, architectural theories, tools, methods and procedures in material intelligence, data intelligence; computational intelligence, and robotic intelligence.

This open access book is a compilation of selected papers from 2021 DigitalFUTURES—The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers encounter new ideas about understanding material intelligence in architecture.

This open access book is a compilation of selected papers from 2023 DigitalFUTURES — The 5nd International Conference on Computational Design and Robotic Fabrication (CDRF 2023). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers will encounter new ideas about understanding intelligence in architecture.

This open access book offers a comprehensive exploration of the digital innovations that have emerged in recent years for the circular built environment. Each chapter is meticulously crafted to ensure that both academic readers and industry practitioners can grasp the inner workings of each digital technology, understand its relevance to the circular built environment, examine real-life implementations, and appreciate the intriguing business models behind them. Our primary objective is to blend scholarly knowledge with practical inspiration by providing real-life case studies for each innovation. The authors, who possess extensive expertise in their respective fields, have contributed chapters dedicated to digital technologies within their areas of specialization. The book is organized into three distinct parts. The first part focuses on data-driven digital technologies and delves into how their capabilities can facilitate the transition to a circular built environment. Essential aspects such as building information modeling (BIM), digital twins, geographical information systems (GIS), scanning technologies, artificial intelligence (AI), data templates, and material passports are explored as vital tools for data collection, integration, and analysis in the context of circular construction. In the second part, various digital technologies for design and fabrication are introduced. Topics covered include computational design algorithms, additive and subtractive manufacturing, robotic manufacturing, and extended reality. These discussions shed light on how these technologies can be leveraged to enhance design and fabrication processes within the circular built environment. Finally, the last part of the book presents emerging digital concepts related to business and governance. It explores the role of deconstruction and reverse logistics, blockchain technology, digital building logbooks, and innovative business models as enablers of circularity in the built environment. The book concludes with a chapter dedicated to digital transformation and its potential to propel the built environment towards a regenerative future. In addition to the substantive content, the book features forewords and perspectives from esteemed experts, providing valuable economic and creative insights to complement its comprehensive approach.

This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.

Digital, visual media are found in most aspects of everyday life, from workplaces to household devices - computer and digital television screens, appliances such as refrigerators and home assistants, and applications for social media and gaming. Each technologically enabled opportunity brings an increasingly sophisticated language with the act of pursuing the intrasensorial ways of perceiving the world around us - through touch, movement, sound and vision - that is the heart of screen media use and audience engagement with digital artifacts. Drawing on digital media's currently evolving transformation and transforming capacity this book builds a story of the multiple processes in robotics and AI, virtual reality, creative image and sound production, the representation of data and creative practice. Issues around commodification, identity, identification, and political economy are critically examined for the emerging and affecting encounters and perceptions that are brought to bear.