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  • HU Berlin  (14)
  • SLB Potsdam
  • Inst. Menschenrechte
  • Bauhaus-Archiv Berlin
  • 2020-2024  (4)
  • 2015-2019  (10)
  • Informatik  (14)
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  • 1
    UID:
    almahu_9949301298302882
    Umfang: 1 online resource (327 pages)
    ISBN: 9789813344006
    Anmerkung: Intro -- Preface -- Committees -- Honorary Advisors -- Organization Committees -- Scientific Committees (list by surname) -- Contents -- Machine Thinking -- Machinic Phylum and Architecture -- 1 Nips and Bites -- 2 Ducks and Rabbits -- References -- Pipes of AI - Machine Learning Assisted 3D Modeling Design -- 1 Principle of CNN -- 1.1 Principle and Applications of Style Transfer -- 1.2 Project Goal -- 2 2D Image Representation of 3D Volume -- 2.1 The Effect of Style Weight in Style Transfer -- 2.2 Transformation of Image to Geometry -- 2.3 Algorithm Analysis of Geometry Generation Between Adjacent Layers -- 3 Result of Section Plans -- 3.1 Result of Perspective View -- 4 Conclusion -- References -- Developing a Digital Interactive Fabrication Process in Co-existing Environment -- 1 Introduction -- 2 Related Work -- 2.1 Fabrication Process of Maker -- 2.2 Towards Co-existing Environment -- 2.3 Automation Digital Fabrication Tools -- 2.4 Summary -- 3 Methodology -- 4 The Experiment -- 5 Conclusions -- References -- Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing -- 1 Introduction -- 2 Defect Recognition and Removal -- 2.1 Pre-process the Image for Segmentation -- 2.2 Preparation of the Classifier -- 2.3 Preparation of the Classifier -- 3 Decision Making for Joining Timber Segments -- 4 User Interface -- 5 Discussion and Future Development -- 6 Conclusion -- References -- On-Site BIM-Enabled Augmented Reality for Construction -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 1.3 Our Solution -- 2 AR Application -- 2.1 Model Overlay Using Augmented Reality -- 2.2 Model Interaction as Query System -- 2.3 Abstraction of Drawings -- 2.4 Additional Features -- 3 Data Pipeline -- 3.1 BIM Pre-processing, Custom Parameter Creation and Population. , 3.2 Construction Document Export and Metadata Post-processing -- 4 Unity Reflect -- 5 Results -- 5.1 Case Study/User Testing -- 5.2 Future Development -- 5.3 Connections -- References -- Recycling Construction Waste Material with the Use of AR -- 1 Introduction -- 2 Aims -- 3 Method -- 3.1 Method 1 | Mass Customisation and Working to a Fixed Digital Model -- 3.2 Mass Customized Aggregation Geometry -- 3.3 Holographic Part Nesting -- 3.4 Mixed Reality Interface -- 3.5 Jointing -- 3.6 Fabrication and Fixing Methods -- 3.7 Method 2 | Working to a Flexible Digital Model -- 3.8 Results -- 4 Discussion -- 4.1 Future Development -- References -- Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Cyborgian Approach of Eco-interaction Design Based on Machine Intelligence and Embodied Experience -- 1 Tracing Cyborgian Theory and Embodied Cognition -- 1.1 A Hybrid of Part Clock Part Swarm [10] -- 1.2 The Importance of the Presence and the Bodily Experience -- 2 How Cyborgian Approach Activates Plants? -- 2.1 How They Sense -- 2.2 How They Think -- 2.3 How They Actuate -- 3 How Cyborgian Approach Encourages Human Participation? -- 3.1 Experience Level -- 3.2 Experience Assessment -- 4 Design an Interactive Outdoor Environment -- 4.1 Challenges and Opportunities of Outdoor Interaction -- 4.2 A Cyborgian Eco-interaction Design Model -- 5 Conclusion and Outlook -- References -- Machine Seeing -- A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Urban Color Planning -- 2.2 Façade Color Measurements -- 2.3 Quantitative Analysis of Visual Quality in Urban Street -- 3 Methodology -- 3.1 Study Area and Workflow -- 3.2 Street View Data Acquisition. , 3.3 Building Façade Segmentation and Data Cleaning -- 3.4 Façade Color Calculation -- 4 Results -- 5 Discussion and Conclusion -- References -- Suggestive Site Planning with Conditional GAN and Urban GIS Data -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Acquisition and Feature Engineering -- 3.2 Machine Learning -- 3.3 Visualization -- 4 Case Study: Taking Boston as Example -- 4.1 Data Acquisition and Feature Engineering -- 4.2 Model Building and Training -- 4.3 Results and Visualization -- 5 Summary -- References -- Understanding and Analyzing the Characteristics of the Third Place in Urban Design: A Methodology for Discrete and Continuous Data in Environmental Design -- 1 Background -- 2 Methodology -- 2.1 Data and Data Structure for Manipulation -- 2.2 Pixel Structure for Continuous Data and Blending Data with Neighbors -- 2.3 Graph Structure for Discrete Data -- 3 Case Study Implementation -- 3.1 Site Selection -- 3.2 Parse Third Place Data and Visualization -- 3.3 Generate Data Structures and Inspect with Visualizations -- 3.4 Comparisons and Results -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Sensing the Environmental Neighborhoods -- 1 Introduction -- 1.1 Sensing Kit Design -- 1.2 Case Study -- 1.3 Summary -- References -- A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision -- 1 Introduction -- 2 Methodology -- 2.1 DRL Based Generative Design Framework -- 2.2 DDPG Agent -- 2.3 Hough Transform -- 3 Case Study -- 3.1 Observation, Action and Reward -- 3.2 Site Information -- 4 Results -- 5 Conclusions and Future Work -- References -- The Development of 'Agent-Based Parametric Semiology' as Design Research Program -- 1 Theory Background -- 2 Why We Need Agent-Based Life-Process Crowd Simulation. , 3 The Intelligence Upgrading of Agent-Based Crowd Simulation -- 3.1 Crowd Behaviour Pattern Analysis -- 3.2 Intelligent Agents -- 3.3 Semantic Virtual Environment -- 4 Quantitative Analysis, Evaluation, and Optimization -- 4.1 Methodology and Toolset -- 4.2 Scenario and Example -- 5 Discussion -- References -- Machine Learning -- Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution -- 1 Introduction -- 2 Relative Work -- 3 Method -- 4 Results -- 4.1 Training Data Preparation -- 4.2 Main Network Training -- 4.3 Multiple Network Training -- 5 Conclusion -- References -- Exploration of Campus Layout Based on Generative Adversarial Network -- 1 Introduction -- 2 Related Work in the Field of Architectural Layout -- 3 Methods -- 4 Experimental Results and Analysis -- 5 Discussion -- Appendix -- References -- A Preliminary Study on the Formation of the General Layouts on the Northern Neighborhood Community Based on GauGAN Diversity Output Generator -- 1 Introduction -- 2 Research -- 2.1 AI Application in Architecture -- 2.2 Deep Learning Architectural Plan Generator Application -- 3 Methodology -- 3.1 GauGAN -- 3.2 Step Training -- 4 Machine Learning for the General Layout Shapes of the Northern Neighborhoods in China -- 4.1 Morphological Analysis -- 4.2 Data Conversion -- 4.3 Model Architecture -- 4.4 Vectorization and 3D Procedural Modeling -- 4.5 Experiment Result -- 5 Conclusion -- 5.1 GauGAN Is More in Line with Architectural Design Needs Than Pix2pix (Pix2pixHD) -- 5.2 The Use of Step Training Can Improve the Clarity of Generated Results and Allow the Later Vectorization to Be More Convenient -- References -- Artificial Intuitions of Generative Design: An Approach Based on Reinforcement Learning -- 1 Introduction -- 1.1 Contemporary Algorithmic Generative System -- 1.2 Artificial Intuitions -- 2 Background. , 2.1 Machine Learning with Generative Design -- 2.2 Reinforcement Learning -- 3 Methodology -- 3.1 Intuitive Random Walk Formation -- 3.2 RL Actions Definition -- 3.3 RL Observations Definition -- 3.4 RL Reward Definition -- 4 Discussions -- 4.1 Training Process and Outcomes -- 4.2 Further Research -- 5 Conclusions -- References -- Collection to Creation: Playfully Interpreting the Classics with Contemporary Tools -- 1 Introduction: Generations to Generative -- 2 Process: Beyond Codified Interaction -- 3 User Analysis -- 4 Media Creation -- 5 Synthetic Text Descriptions -- 6 Thoughts -- 7 Conclusion -- References -- embedGAN: A Method to Embed Images in GAN Latent Space -- 1 Introduction -- 2 Related Work -- 2.1 Regenerating Data in GAN -- 2.2 GAN Latent Walk -- 3 Method -- 3.1 Principle -- 3.2 Architecture -- 3.3 Training Details -- 4 Application -- 5 Evaluation -- 6 Conclusion -- References -- Research on Architectural Form Optimization Method Based on Environmental Performance-Driven Design -- 1 Introduction -- 2 Performance-Driven Design and Its Advantages -- 2.1 Performance-Driven Design Theory -- 2.2 Performance-Driven Design Advantages Compared with Bionic Form Design -- 3 Performance-Driven Architectural Form Optimization Method -- 3.1 Combined with Parametric Design -- 4 Form Optimization Simulation Process Establishment -- 5 Design Practice -- 5.1 Project Background -- 5.2 Design Parameters Selection and Numerical Constraint -- 5.3 Setting Simulation Parameters -- 5.4 Form Optimization Process Diagram -- 5.5 Result Analysis -- 6 Conclusion -- References -- Optimization and Prediction of Design Variables Driven by Building Energy Performance-A Case Study of Office Building in Wuhan -- 1 Introduction -- 2 Research Method -- 2.1 Research Objectives -- 2.2 Research Method. , 2.3 Multi-Island Genetic Algorithm (MIGA) and Radial Basis Functions Artificial Neural Networks (RBF-ANNs).
    Weitere Ausg.: Print version: Yuan, Philip F. Proceedings of the 2020 DigitalFUTURES Singapore : Springer Singapore Pte. Limited,c2021 ISBN 9789813343993
    Sprache: Englisch
    Fachgebiete: Informatik , Technik
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    Schlagwort(e): Electronic books. ; Konferenzschrift ; Electronic books.
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: FULL  ((Currently Only Available on Campus))
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  • 2
    UID:
    almahu_9949281350602882
    Umfang: 1 online resource (401 p.)
    ISBN: 981-16-5983-4
    Inhalt: 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.
    Anmerkung: Description based upon print version of record. , 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 , English
    Weitere Ausg.: ISBN 981-16-5982-6
    Sprache: Englisch
    Fachgebiete: Informatik , Technik
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    Schlagwort(e): Konferenzschrift
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 3
    Online-Ressource
    Online-Ressource
    Berkeley, CA :Apress :
    UID:
    almahu_9948104405702882
    Umfang: XIX, 552 p. 208 illus., 192 illus. in color. , online resource.
    ISBN: 9781484239605
    Inhalt: Extend the range of your Arduino skills, incorporate the new developments in both hardware and software, and understand how the electronic applications function in everyday life. This project-based book extends the Arduino Uno starter kits and increases knowledge of microcontrollers in electronic applications. Learn how to build complex Arduino projects, break them down into smaller ones, and then enhance them, thereby broadening your understanding of each topic.You'll use the Arduino Uno in a range of applications such as a blinking LED, route mapping with a mobile GPS system, and uploading information to the internet. You'll also apply the Arduino Uno to sensors, information displays and collections, Bluetooth and wireless communications, digital image captures, route tracking with GPS, controlling motors, color and sound, building robots, and internet access. With Arduino Applied, prior knowledge of electronics is not required, as each topic is described and illustrated with examples using the Arduino Uno.
    Anmerkung: Chapter 1. Introduction -- Chapter 2. Switches -- Chapter 3. Sensors -- Chapter 4. Liquid crystal display -- Chapter 5. Seven segment LED display -- Chapter 6. Four-digit seven-segment display -- Chapter 7. 8x8 dot matrix display -- Chapter 8. Servo and Stepper motors -- Chapter 9. Rotary encoder -- Chapter 10. Infrared sensor -- Chapter 11. Radio frequency identification -- Chapter 12. Data logging to an SD card -- Chapter 13. Screen displays -- Chapter 14. Sensing colours -- Chapter 15. Camera -- Chapter 16. Bluetooth communication -- Chapter 17. Wireless communication -- Chapter 18. Build Arduino -- Chapter 19. Global navigation satellite system -- Chapter 20. Interrupts and timed events -- Chapter 21. Power saving -- Chapter 22. Sound and square waves -- Chapter 23. DC motors -- Chapter 24. Robot wheels -- Chapter 25. WiFi communication -- Appendix.
    In: Springer eBooks
    Weitere Ausg.: Printed edition: ISBN 9781484239599
    Weitere Ausg.: Printed edition: ISBN 9781484239612
    Sprache: Englisch
    Fachgebiete: Informatik , Technik
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    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    UID:
    almahu_BV042181665
    Umfang: XXX, 886 S. : , Ill., graph. Darst.
    Ausgabe: 2. ed.
    ISBN: 978-0-321-96897-5 , 0-321-96897-2
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): BSD UNIX
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  • 5
    UID:
    almahu_BV043656446
    Umfang: xviii, 222 Seiten : , Illustrationen.
    ISBN: 978-1-119-26722-5
    Serie: Wrox programmer to programmer
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-119-26725-6
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-119-26726-3
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
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    Schlagwort(e): Programmiersprache
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  • 6
    Buch
    Buch
    Dallas, Texas :The Pragmatic Bookshelf,
    UID:
    almahu_BV043307763
    Umfang: xxvii, 320 Seiten : , Illustrationen.
    Ausgabe: Second edition
    ISBN: 978-1-68050-127-8
    Serie: The pragmatic programmers
    Anmerkung: Auf dem Cover: "for Vim 7.4"
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Vim
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  • 7
    UID:
    almahu_BV046357314
    Umfang: xxiv, 512 Seiten : , Illustrationen, Diagramme.
    Ausgabe: International student edition
    ISBN: 978-1-5443-8788-8
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Statistik ; R
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  • 8
    Buch
    Buch
    Boca Raton ; London ; New York :Taylor & Francis,
    UID:
    almahu_BV045504963
    Umfang: xiii, 482 Seiten : , Illustrationen, Diagramme.
    Ausgabe: second edition
    ISBN: 978-1-138-04762-4
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Kryptologie
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  • 9
    Buch
    Buch
    Raleigh, North Carolina :The Pragmatic Bookshelf,
    UID:
    almahu_BV044939881
    Umfang: xvi, 143 Seiten.
    ISBN: 978-1-68050-262-6 , 1-68050-262-X
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    RVK:
    Schlagwort(e): Vim
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  • 10
    Buch
    Buch
    [Cham] :Springer,
    UID:
    almahu_BV043874112
    Umfang: xiv, 334 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-3-319-41185-9
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-3-319-41187-3
    Sprache: Englisch
    Fachgebiete: Informatik
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