Behind Architectural Filters: Phenomena of Interference explores the active role of architectural filters in generating physically and sensory charged spatial experiences. The book addresses how the material and the psychological strategies of permeable physical boundaries determine our perceptual experiences of the spaces we occupy. This book explores architectural filters as connecting mechanisms capable of conjuring unique atmospheres that integrate the participation of several agents. The text analyzes ten case studies, grouped under five generative parameters: origin, density, thickness, function, and message. Each study investigates the main aspects of the filters’ internal genesis and the character of the spaces informed by them. The cases illustrate a broad geographic, cultural, and historical scope, and connect past tradition with contemporary design. This methodology considers a historical and philosophical standpoint addressing vernacular, constructive, sustainable, and sensory considerations. Written for students and scholars of architectural history, theory, art, design, and philosophy, Behind Architectural Filters: Phenomena of Interference offers an unprecedented perspective on the production of spatial atmospheres, bridging past and present while connecting thought and practice in a highly visual study. Chapter 3 of this book is available for free in PDF format as Open Access from the individual product page at www.routledge.com. It has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Introduction. Materializing Light and Gaze -- The Filter as a Limit of Space -- The Filter as a Transitional Space -- The Filter as Structure and Construction -- Generative Strategies -- Conclusions: Behind Architectural Filters.

Building on the success of the first edition, an engaging and reader-friendly work on complex ideas, Introducing Architectural Theory: Expanding the Disciplinary Debate, broadens the range of themes, voices, and geographies represented to provide a more comprehensive and contemporary theory book. This book presents major discourses in architectural theory and design in a debate-like format, integrating a series of edited texts across architectural history with context and newly written commentaries by the authors. This new edition has been fully revised, updated, and expanded to include long-standing debates, such as simplicity vs. complexity or the relationship between form and function, as well as newer discussions on innovation, globalization, and social equity. Authors Smith and Guitart provide a comprehensive means and conceptual framework for readers to compare multiple points of view. The chapter structure, discussion questions, and additional resources allow teachers to facilitate in-class discussions and writing assignments. This book remains the most accessible architectural theory textbook, written for beginning architecture students and those outside the discipline. Its reflective and critical approach will equally engage the minds of upper-level students and experts.

The study of the architectural discipline suffers from an increasing disconnect between its teaching and its professional practice. In this edited collection, 18 architectural voices address this disconnect by reflecting on the ways in which they exercise the architectural discipline in three ways: research, teaching, and practice. This book argues that the totality of activities encompassed by the architectural profession can be best fulfilled when reconsidering the critical interactions between these three fields in the everyday exercise of the profession. Split into three parts, "Architecture as Research," Architecture as Pedagogy," and "Architecture as Practice," each section focuses on one of these three dimensions while establishing continuity with the other two. In doing so, the book not only favors a more fulfilling interaction between academia and the profession but also reinforces the implementation of design theory and research in everyday teaching and practice. The contributions come from 18 teams of architects operating from geographically diverse locations, including Pezo von Ellrichshausen in Chile, Kengo Kuma & Associates in Japan, Barclay & Crousse in Peru, Shift in Iran, Heinrich Wolff in South Africa, and People’s Architecture Office in China, opening the design conversation to larger contexts and framing continuity and inclusion in time. Written for students, instructors, and practitioners alike, the inspiring reflections in this volume encourage readers to grow as architects and play an instrumental role in transforming the built environment.

- Exploit the significant power of design patterns and make better design decisions with the proven POAD methodology - Improve software quality and reliability while reducing costs and maintenance efforts - Practical case studies and illustrative examples help the reader manage the complexity of software development

This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.