LEADER 04467nam 2200637 450 001 9910464800203321 005 20210423013708.0 010 $a3-03821-145-1 024 7 $a10.1515/9783038211457 035 $a(CKB)3460000000133021 035 $a(EBL)1113318 035 $a(SSID)ssj0001349938 035 $a(PQKBManifestationID)12565621 035 $a(PQKBTitleCode)TC0001349938 035 $a(PQKBWorkID)11286261 035 $a(PQKB)10628329 035 $a(MiAaPQ)EBC1113318 035 $a(DE-B1597)209084 035 $a(OCoLC)1013954516 035 $a(OCoLC)900191320 035 $a(DE-B1597)9783038211457 035 $a(Au-PeEL)EBL1113318 035 $a(CaPaEBR)ebr11006264 035 $a(OCoLC)890070855 035 $a(EXLCZ)993460000000133021 100 $a20140919d2014 uy| 0 101 0 $aeng 135 $aur|nu---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aFac?ades $eprinciples of construction /$fUlrich Knaack [and three others] 205 $aSecond and revised edition. 210 1$aBoston :$cBirkha?user,$d2014. 215 $a1 online resource (132 p.) 300 $aDescription based upon print version of record. 311 $a3-03821-044-7 320 $aIncludes bibliographical references and index. 327 $tFront matter --$tContents --$tIntroduction --$tFrom Wall to Façade --$tPrinciples of Construction --$tDetailing and Tolerances --$tClimate and energy --$tAdaptive Façades --$tCase Studies --$tA Look Into the Future --$tAuthors --$t129 Selected bibliography --$tIndex 330 $aFassaden bestimmen die Erscheinung eines Gebäudes, sie verkörpern es gleichsam. Somit kommt ihnen in der Architektur große Bedeutung zu. Gleichzeitig nimmt die Gebäudehülle zentrale Aufgaben wahr - Belichtung, Wetterdichtigkeit, thermische Isolation, Lastenabtragung, Schallschutz, um nur die wichtigsten Funktionen zu nennen. Über die letzten 15 Jahre sind Fassaden erheblich komplexer geworden und die Entwicklung hält an: intelligente, klima-aktive Fassaden beispielsweise passen sich durch selbstregelnde Systeme den verschiedenen Licht- und Klimaverhältnissen an, neu entwickelte Materialien und Technologien haben die Funktionalität der Fassade stark erweitert. Dieses Buch zeigt die Prinzipien der Fassade. Zunächst werden die wichtigsten Typen wie Pfosten-Riegel-Fassade, Vorhangfassade, Elementfassade, Doppelfassade vorgestellt, dann werden ihre Anforderungen an Entwurf und Konstruktion verdeutlicht. Zahlreiche, eigens für dieses Buch entstandene Zeichnungen erklären die einzelnen Fassadentypen und zeigen diese dann am gebauten Beispiel. Für die Neuausgabe wurden die Kapitel aktualisiert, sämtliche Beispiele komplett neu erstellt und das neue Kapitel "Zukünftige Fassaden" gibt einen Ausblick. 330 $aIntroduction to building façades as revised editionFaçades determine the appearance of a building. Hence, they constitute a major element in architecture. At the same time, the building's envelope has important functions to fulfil, such as lighting, weatherproofing, thermal insulation, load transfer and sound insulation. Over the past 15 years, façades have become increasingly complex - 'intelligent' facades, for instance, adapt to changing climate and lighting conditions. Newly developed materials and technologies have broadened the scope of façade functions. This book demonstrates the principles of façade construction. It systematically describes the most common types, such as post-and-beam façade, curtain wall, corridor façade or double façade, and provides guidelines for appropriate detailing. Numerous drawings made especially for the book explain the principles of different types of facades, which are then illustrated with built examples. For this second edition, all chapters were revised and all four examples in the case studies chapter were replaced by new material. The new chapter "Future Façades" offers insights into what's next. 606 $aFacades$xDesign and construction 608 $aElectronic books. 615 0$aFacades$xDesign and construction. 676 $a690/.12 700 $aKnaack$b Ulrich$0740630 702 $aAuer$b Thomas, 702 $aBilow$b Marcel, 702 $aKlein$b Tillmann, 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910464800203321 996 $aFac?ades$92445214 997 $aUNINA LEADER 08170nam 22006975 450 001 9910364955203321 005 20251225200646.0 010 $a3-030-36711-8 024 7 $a10.1007/978-3-030-36711-4 035 $a(CKB)4100000010013758 035 $a(MiAaPQ)EBC5995732 035 $a(DE-He213)978-3-030-36711-4 035 $a(PPN)242818498 035 $a(EXLCZ)994100000010013758 100 $a20191210d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Information Processing $e26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12?15, 2019, Proceedings, Part II /$fedited by Tom Gedeon, Kok Wai Wong, Minho Lee 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (723 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11954 311 08$a3-030-36710-X 327 $aImage Processing by Neural Techniques -- STNet: A Style Transformation Network for Deep Image Steganography -- Multi-person 3D Pose Estimation from Monocular Image Sequences -- Super-Resolution Network for General Static Degradation Model -- Feature Combination Based on Receptive Fields and Cross-Fusion Feature Pyramid for Object Detection -- Multi-scale Information Distillation Network for Image Super Resolution in NSCT Domain -- Image Denoising Networks with Residual Blocks and RReLUs -- Shape Description and Retrieval in a Fused Scale Space -- Only Image Cosine Embedding For Few-shot Learning -- Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes -- A Robustness and Low Bit-rate Image Compression Network for Underwater Acoustic Communication -- Gated Contiguous Memory U-Net for Single Image Dehazing -- Combined Correlation Filters With Siamese Region Proposal Network For Visual Tracking -- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments -- A Novel Image-Based Malware Classification Model Using Deep Learning -- Visual Saliency Detection via Convolutional Gated Recurrent Units -- RBPNET:An asymptotic residual back-projection network for super resolution of very low resolution face image -- Accurate Single Image Super-Resolution using Deep Aggregation Network -- Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information -- Cross-View Image Retrieval - Ground to Aerial Image Retrieval through Deep Learning -- Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds -- Learning from Incomplete Data -- Improving Object Detection with Consistent Negative Sample Mining -- A model selection criterion for LASSO estimate with scaling -- Geometric mean metric learning for label distribution learning -- Explicit Center Selection and Training for Fault Tolerant RBF Networks -- Learning with Incomplete Labels for Multi-label Image Annotationusing CNN and Restricted Boltzmann Machines -- Learning-Based Confidence Estimation for Multi-Modal Classifier Fusion -- Model Compression and Optimisation -- Siamese Network for Classification with Optimization of AUC -- Attention-based Audio-visual Fusion for Video Summarization -- RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression -- Adaptive Neuro-Surrogate-Based Optimization Method for Wave Energy Converters Placement Optimization -- Lightweighted Modal Regression for stand alone embedded systems -- Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions -- Neural Learning Models -- Sparse Least Squares Low Rank Kernel Machines -- Proposal of online regularization for dynamical structure optimization in complex-valued neural networks -- Set Aggregation Network as a Trainable Pooling Layer -- Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence -- Conditionally Decorrelated Multi-TargetRegression -- Local Near-optimal Control for Interconnected Systems with Time-varying Delays -- Neural Network Applications -- Transferring Tree Ensembles to Neural Networks -- Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-Plastic Synapse Units - Letter Recognition of Five Alphabets -- Barrier Function Based Consensus of High-order Nonlinear Multi-agent Systems With State Constraints -- Transformer-DW: A Transformer Network with Dynamic and Weighted Head -- Motion-based Occlusion-aware Pixel Graph Network for Video Object Segmentation -- Modeling Severe Traffic Accidents with Spatial and Temporal Features -- Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits -- IMDB-Attire: A Novel Dataset for Attire Detection and Localization -- From Raw Signals to Human Skills Level in Physical Human-Robot Collaboration for Advanced-Manufacturing Applications -- Intelligent Image Retrieval Based on Multi-swarm of Particle Swarm Optimization and Relevance Feedback -- Achieving Human?Robot Collaboration with Dynamic Goal Inference by Gradient Descent -- Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation -- Social Network Computing -- Secure Outsourcing of Lattice Basis Reduction -- DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks -- SRRL: Select Reliable Friends for Social Recommendation with Reinforcement Learning -- Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention -- Aligning users across Social Networks by Joint User And Label Consistence Representation -- Opinion Knowledge Injection Network for Aspect Extraction -- A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation -- Pluralistic Ignorance: a trade off between group-conformity and cognitive dissonance. 330 $aThe three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11954 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aComputer vision 606 $aApplication software 606 $aComputers, Special purpose 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aComputer and Information Systems Applications 606 $aSpecial Purpose and Application-Based Systems 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aComputers, Special purpose. 615 14$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aComputer and Information Systems Applications. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a006.32 676 $a006.4 702 $aGedeon$b Tom$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWong$b Kok Wai$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLee$b Minho$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910364955203321 996 $aNeural Information Processing$92554499 997 $aUNINA