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Proceedings of the 2020 DigitalFUTURES : The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) / / editors, Philip F. Yuan [et al.]
| Proceedings of the 2020 DigitalFUTURES : The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020) / / editors, Philip F. Yuan [et al.] |
| Autore | Yuan Philip F |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (XI, 322 p. 281 illus., 231 illus. in color.) |
| Disciplina | 629.892 |
| Soggetto topico |
Artificial intelligence
Automation Computer simulation Computer-aided engineering Robotics |
| Soggetto non controllato |
Robotics and Automation
Computer-Aided Engineering (CAD, CAE) and Design Simulation and Modeling Robotics Control, Robotics, Automation Computer Science Post-humanist Intelligence Computational Design Robotic Fabrication Human-Machine Collaboration AI in Architecture Open Access Computer-aided design (CAD) Computer modelling & simulation Artificial intelligence |
| ISBN | 981-334-400-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine Thinking -- Digital Design History and Theory -- Philosophy of Technology -- Machine Seeing -- Data Gathering -- Simulation Technique -- Interactive Environment -- Machine Learning -- Generative Morphology -- Design Neural Networks -- AI Design -- Machine Making -- Automated Fabrication -- Robotics -- Human-Machine Collaboration. |
| Record Nr. | UNINA-9910473447003321 |
Yuan Philip F
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2021 DigitalFUTURES : The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021) / / editors, Philip F. Yuan [et al.]
| Proceedings of the 2021 DigitalFUTURES : The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021) / / editors, Philip F. Yuan [et al.] |
| Autore | Yuan Philip F |
| Pubbl/distr/stampa | Singapore, : Springer Singapore Pte. Limited, 2021 |
| Descrizione fisica | 1 online resource (401 p.) |
| Altri autori (Persone) |
YuanPhilip F
ChaiHua YanChao LeachNeil |
| Soggetto topico |
Automatic control engineering
Computer-aided design (CAD) Artificial intelligence |
| Soggetto non controllato |
History, Theory and Critics of Building Technology
Performance-based Design Fabrication and Construction Data Mining and Visualizing Immersive and Interactive Environment Architectural Intelligence Open Access |
| ISBN | 981-16-5983-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Committees -- Honorary Advisors -- Organization Committees -- Scientific Committees -- Contents -- Computation and Formation -- Serlio and Artificial Intelligence: Problematizing the Image-to-Object Workflow -- 1 Influence of the Disciplinary Treatise -- 2 Analogical and Digital Flux -- 3 Analog-to-Digital Information Processing -- 4 Problematizing the Image-to-Object Workflow -- 5 Operative Model: Portico -- 5.1 Intelligence Beyond Serlio -- References -- A Generative Approach to Social Ecologies in Project [Symbios]City -- 1 Introduction
2 Topological Optimization as a Method of Parametric Semiology -- 2.1 Background -- 2.2 TO Software and Its Potential to Achieve Tower Semiology -- 2.3 Benchmark Post Processing and Materialization -- 3 Ground Design and Flood Simulation -- 3.1 Flood Simulation -- 3.2 Tower Arrangement -- 3.3 Podium Design and Network Theory -- 4 From Programmatic Distribution to Neighborhood Ecologies -- 4.1 Typical Program Classification and Distribution -- 4.2 Dynamic Programs and Micro-structures -- 5 Façade Development and Sunlight Optimization -- 6 Conclusion -- References Using CycleGAN to Achieve the Sketch Recognition Process of Sketch-Based Modeling -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Data Preparation -- 3.3 Training Process -- 4 Results -- 4.1 Recognition of Sketch and Generation of Corresponding Building Image -- 4.2 Sketch Reconstruction -- 4.3 Building Images to Sketches -- 5 Conclusion and Discussion -- References -- Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Network Architecture 3.2 Dataset -- 3.3 Processing and Labelling Based on Analysis -- 4 Training and Analysis -- 4.1 First Training -- 4.2 Second Training -- 4.3 Third Training -- 4.4 Result Analysis -- 5 Discussion -- References -- Command2Vec: Feature Learning of 3D Modeling Behavior Sequence-A Case Study on "Spiral-stair" -- 1 Introduction -- 2 Related Work -- 3 Methodologies -- 3.1 Data Preparing -- 3.2 Embedding -- 3.3 Command2Vec -- 3.4 Clustering -- 4 Experiment -- 5 Results -- 5.1 Experiment Results -- 5.2 Evaluation -- 6 Conclusion and Discussion -- References Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2 -- 1 Introduction -- 2 Related Work -- 2.1 Image Generation Research via GAN in Computer Science -- 2.2 Plan Drawing Generation Research -- 2.3 Building Facades and Other Perspective Architectural Images Generation Research -- 3 Methodology -- 3.1 Training Building Facades Generation Model by StyleGAN2 -- 3.2 Exploration and Explanation of Latent Space -- 3.3 High-Level Prosperity Control 3.4 Project Novel Image into Existing Model Instance |
| Record Nr. | UNINA-9910500587003321 |
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Yuan Philip F
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| Singapore, : Springer Singapore Pte. Limited, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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