Computer-aided architectural design : design imperatives : the future is now : 19th international conference, CAAD Futures 2021, Los Angeles, CA, USA, July 16-18, 2021 : selected papers / / David Gerber [and four others] (editors)

• Pubblicazione: Singapore : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (567 pages)
• Disciplina: 720.2840285
• Soggetto topico: Architectural design - Data processing; Computer-aided design
• Persona (resp. second.): GerberDavid
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- CAAD Futures 2021 Open Call for Submissions -- Organization -- Contents -- Past Futures and Present Futures: Research and Pedagogy -- Digital Hot Air: Procedural Workflow of Designing Active Spatial Systems in Architecture Studio -- 1 Introduction -- 2 Background -- 2.1 VFX as Architecture Design Tool -- 2.2 Identifying Key Relationships for Airflow Form-Making -- 3 Computational Setup -- 3.1 Architectural Context -- 3.2 Workflow -- 4 Outcomes and Reflection -- 4.1 Typologies of Spatial Connectivity and Separation -- 4.2 Speculative Applications -- 5 Conclusion and Future Work -- References -- Comprehending Algorithmic Design -- 1 Introduction -- 1.1 Algorithmic Design -- 1.2 Integrated Development Environments -- 2 Related Work -- 2.1 Program Comprehension -- 2.2 Liveliness -- 3 The Program Comprehension Dyad -- 3.1 Storytelling -- 3.2 Interactive Evaluation -- 3.3 Reactivity -- 4 Exploratory Application -- 4.1 Computational Notebooks -- 4.2 Storytelling -- 4.3 Interactive Evaluation -- 4.4 Reactivity -- 5 Conclusion -- References -- Embedded Intelligent Empathy: A Systematic Review Towards a Conceptual Framework -- 1 Introduction -- 1.1 Design and Science -- 1.2 Empathy in Design and Interrelationship Between Subjectivity and Objectivity -- 2 Literature Review (SLR) -- 2.1 Empathy in Design -- 2.2 Methods of Implementing Empathy -- 2.3 Designing Human-Centric (Empathic) Spaces Through Computation -- 2.4 Design-Machine -- 2.5 Soundscape as a Testbed -- 3 Conclusions -- References -- Screen Techniques: -- 1 Introduction -- 1.1 Oscilloscopes as Early Graphic Displays -- 1.2 Approach: Instrumentality as Embodied Techniques -- 2 A Novel Graphic Technique -- 3 Instrument Affordances: Oscilloscope's Temporalities -- 4 Display Routines -- 5 Conclusion -- References. ; Rethinking Computer-Aided Architectural Design (CAAD) - From Generative Algorithms and Architectural Intelligence to Environmental Design and Ambient Intelligence -- 1 Introduction -- 2 Computer-Aided Design (CAD) and Generative Computer-Aided Architectural Design (CAAD) -- 3 From Computer-Aided Design (CAD) to Building Information Modeling (BIM) Apps for Architects -- 4 New Developments in Artificial Intelligence (AI) and Possible Applications in Architecture and Urban Design -- 5 Environmental Design and Ambient Intelligence -- 6 Discussions -- 7 Conclusions -- References -- Past Futures and Present Futures: Aesthetics and Ethics of Space -- Early-Phase Performance-Driven Design Using Generative Models -- 1 Introduction -- 2 Related Work -- 2.1 Performance-Driven Design -- 2.2 Generative Models -- 3 Approach -- 4 Case Study -- 4.1 Problem Scope -- 4.2 Data Generation -- 4.3 Learning -- 5 Results -- 5.1 Reconstruction Performance -- 5.2 Inference Performance -- 5.3 Hypervolumes -- 6 Discussion -- 6.1 VAE Sampling for Optimal Solar Gain Performance -- 6.2 Beyond Quick Optimization -- 6.3 Generalizability -- 6.4 Limitations -- 7 Conclusion -- References -- Art Places and Their Impact on Property Prices of Condominiums in Singapore -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection and Processing -- 2.2 Comparative Method (with 3 km Radius vs Town) -- 2.3 Comparative Method (Before and After Years of Opening) -- 2.4 Regression Methods -- 3 Results -- 3.1 Comparative Method (with 3 km Radius vs Town) -- 3.2 Comparative Method (Before and After Years of Opening) -- 3.3 Single Variable Regression -- 3.4 Two-Factors Regression -- 4 Discussion -- 4.1 Summary of Major Findings -- 4.2 Study Strength and Limitations -- 4.3 Implications on Practice -- 4.4 Future Research -- References -- Social Distancing and Behavior Modeling with Agent-Based Simulation. ; 1 Introduction ABS for Crowd Behavior Simulation -- 2 Methodology to Simulate Social Distancing in ABS -- 2.1 Environmental Query -- 2.2 Waiting Zone and Waiting Queue -- 2.3 Tasks -- 3 ABS for Public Restroom Design -- 4 Conclusion -- References -- Interactive Media in Public Spaces: -- 1 The Shifting Paradigm -- 2 Interactive Environments and Architecture -- 2.1 The Shifting Context: Public Space and Its Audience -- 3 Surveillance, Privacy and Bias -- 3.1 Machine Learning Biases -- 4 Case Studies -- 4.1 Emergence -- 4.2 WISIWYG: What I See is What You Get -- 5 Discussion -- 6 Conclusions -- References -- Algorithms for Floor Planning with Proximity Requirements -- 1 Introduction -- 2 Related Work -- 3 Our Model and Problem Definitions -- 4 An ILP for Floor Planning -- 5 An ILP for Floor Assignment -- 6 A Heuristic for Floor Assignment -- 7 Test Data -- 8 Experimental Evaluation -- 9 Concluding Remarks -- References -- Architectural Automations and Augmentations: Design -- Type Investigation in the Form of High-Rise Building Using Deep Neural Network -- 1 Introduction -- 2 Machine Learning-Integrated Architectural Design -- 3 Dataset -- 3.1 Data Collection -- 3.2 Data Processing -- 4 Training -- 4.1 Model -- 4.2 Training -- 4.3 Typical Form of High-Rise Building Using Latent Space -- 5 Design Application -- 5.1 Three Different Method for Form Generation -- 6 Conclusion -- 6.1 Discussion and Contribution -- 6.2 Challenges and Future Study -- References -- Structural Design Recommendations in the Early Design Phase Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Approach -- 3.2 Problem Scope -- 3.3 System Architecture -- 3.4 Dataset -- 3.5 Training -- 4 Results -- 4.1 Single Predictions on Perfect Observations - CNN Evaluation -- 4.2 Iterative Predictions - System Evaluation -- 5 Discussion. ; 5.1 ML as an Approximation Means for Early Phase Structural Assistance -- 5.2 Iterative Approach vs. End-to-End Model -- 5.3 Generalizability -- 5.4 Limitations -- 6 Conclusion -- References -- Quantifying Differences Between Architects' and Non-architects' Visual Perception of Originality of Tower Typology Using Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Originality in Design -- 2.2 Machine Learning in Architecture -- 3 Research Methodology -- 3.1 Step 1: Defining Design Variants -- 3.2 Step 2: Crowd-Sourced Evaluation -- 3.3 Preliminary Analysis of Evaluation Data -- 3.4 Steps 3 and 4: Neural Network Training and Predicting Originality Score -- 3.5 Limitations of Quantification -- 4 Result and Discussion -- 5 Conclusion -- References -- Building Archetype Characterization Using K-Means Clustering in Urban Building Energy Models -- 1 Introduction -- 2 Materials -- 3 Methodology -- 3.1 Thermal Modeling -- 3.2 Occupancy Modeling -- 3.3 Building Energy Simulation -- 3.4 Clustering -- 3.5 Partial Clustering -- 4 Results -- 4.1 Comparative Analysis for the Qualities of Training Data for Clustering Algorithm -- 4.2 Partitional Clustering for Facilitation of UBEM -- 5 Discussion -- 6 Conclusion -- References -- Interior Design Network of Furnishing and Color Pairing with Object Detection and Color Analysis Based on Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Interior Design Element -- 2.2 Color and Object -- 2.3 Network Analysis -- 3 Methods -- 3.1 Data Collection -- 3.2 Data Processing -- 3.3 Color-Furnishing Network Analysis -- 4 Implementation and Results -- 4.1 Object Detection and Color Detection -- 4.2 Data Structure -- 4.3 Results and Discussion -- 5 Conclusion -- References -- A Phenotype-Based Representation that Quantifies Aesthetic Variables -- 1 Introduction -- 1.1 Genotype-Based Representation. ; 1.2 Performance-Based Representation -- 1.3 Key Challenges -- 2 Existing Methods -- 2.1 Extract High Performing Solutions -- 2.2 Measure Qualitative Values -- 3 Phenotype-Based Representation -- 3.1 Zernike Image Moments -- 3.2 Design Space Set-Up -- 3.3 Design Search Based on Qualitative Features -- 4 Design Space Visualization -- 4.1 Uniform Manifold Approximation and Projection (UMAP) -- 4.2 Similarity Measure -- 4.3 Clustering -- 5 Design Space Navigation -- 5.1 Data Hierarchy -- 5.2 Matching the Design Intention -- 6 Conclusion -- 6.1 Human-Computer Interactions (HCI) -- 6.2 Future Work -- References -- A Multi-formalism Shape Grammar Interpreter -- 1 Introduction -- 2 Multiple Formalisms -- 2.1 Motivation -- 2.2 Sortal Structures -- 2.3 Sortal Rules -- 2.4 Parametric-Associative Matching -- 2.5 Combining Non-parametric and Parametric-Associative Matching -- 3 The SortalGI Sortal Grammar Interpreter -- 4 Conclusion -- References -- Understanding the Span of Design Spaces -- 1 Introduction -- 1.1 The Shape of Design Spaces -- 1.2 Paper Overview -- 2 Method -- 2.1 Design Generation -- 2.2 Creating Design Spaces with Different Spans -- 2.3 Case-Study Optimization -- 3 Result -- 4 Discussion and Conclusion -- References -- Architectural Automations and Augmentations: Fabrication -- Adaptive Toolpath: Enhanced Design and Process Control for Robotic 3DCP -- 1 Introduction -- 2 Related Research -- 3 Methods -- 3.1 Fabrication Setup -- 3.2 Filament Calibration Experiment -- 3.3 Modelling of Filament Geometry -- 3.4 Physics-Based Simulation for Complex Toolpath -- 4 Results and Discussion -- 4.1 Layer Dimension Data -- 4.2 Proof of Concept: Speed Variation -- 4.3 Proof of Concept: Woven Column -- 5 Conclusions -- References -- PRINT in PRINT: A Nested Robotic Fabrication Strategy for 3D Printing Dissolvable Formwork of a Stackable Column. ; 1 Introduction.
• Titolo autorizzato: Computer-aided architectural design
• ISBN: 981-19-1280-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464545603316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in computer and information science ; ; Volume 1465.