الصفحة 2
الصفحة 2
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Drawing for Interior Design ; 2nd ed.

Covers all stages of visual presentation as part of the interior design process, from the most basic initial sketches to fully developed computer-generated visualizations. Following a brief introduction four chapters take the reader through the design process, from the basics to conception, presentation and production. This second edition includes more practical advice on techniques, more case studies, step-by-step sequences and updated examples. With a varied and comprehensive range of images, this book is an invaluable, inspirational and practical resource for interior design students.

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Digital Sketching : Computer-Aided Conceptual Design

Delivers a comprehensive and insightful examination of how architects and other design professionals can best use digital design technology to become better designers. Celebrated professional, professor, and author John Bacus provides readers with practical and timely information on emerging digital design technologies and their effect on professional practice.

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Design Graphics : Drawing Techniques for Design Professionals

Combines–in a single volume–simple techniques and skills related to sketching, design-development, and the schematic or preliminary phase of design presentation. Emphasizing drawing as a mental as well as physical exercise, the text helps students draw designs on paper faster and easier, showing them how visual communication with clients can provide better, more economical design solutions. Practical, straightforward, and reader-friendly, Design Graphics provides more complete coverage of the basics, making concepts and techniques accessible to students with highly diversified educational and technical backgrounds.

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Design computing and cognition 08 ; Proceedings of the 3rd International conference on design computing and cognition

This is the third volume of the new conference series Design Computing and Cognition (DCC) that takes over from and subsumes the successful series Artificial Intelligence in Design (AID) published by Kluwer (now Springer) since 1992.

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Data-Driven 3D Facial Animation

Data-Driven 3D Facial Animation: systematically describes the emerging data-driven techniques developed over the last ten years or so. Although data-driven 3D facial animation is used more and more in animation practice, to date there have been very few books that specifically address the techniques involved. Comprehensive in scope, the book covers not only traditional lip-sync (speech animation), but also expressive facial motion, facial gestures, facial modeling, editing and sketching, and facial animation transferring. It provides an up-to-date reference source for academic research and for professionals working in the facial animation field.

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Contextualisms in Epistemology

This comprehensive anthology collects twenty original essays and critical commentaries on different aspects of contextualism, written by leading philosophers on the topic. The editors’ introduction sketches the historical development of the contextualist movement and provides a survey and analysis of its arguments and major positions. The papers explore, inter alia, the central problems and prospects of semantic (or conversational) contextualism and its main alternative approaches such as inferential (or issue) contextualism, epistemic contextualism, and virtue contextualism. They also investigate the connections between contextualism and epistemic particularism, and between contextualism and stability accounts of knowledge.

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Computer-Aided Design of User Interfaces V ; Proceedings of the 6th International Conference on Computer-Aided Design of User Interfaces CADUI '06 (6-8 June 2006, Bucharest, Romania)

Today, the development life cycle of 3D User Interfaces (UIs) mostly remains an art more than a principled-based approach. Several methods [1,3,7,8,9,10,11,15,17,18,19] have been introduced to decompose this life cycle into steps and sub-steps, but these methods rarely provide the design knowledge that should be typically used for achieving each step. In addition, the development life cycle is more focusing directly on the programming - sues than on the design and analysis phases. This is sometimes reinforced by the fact that available tools for 3D UIs are toolkits, interface builders, r- dering engines, etc. When there is such a development life cycle defined, it is typically structured into the following set of activities: 1. The conceptual phase is characterized by the identification of the content and interaction requests. The meta-author discusses with the interface designer to take advantage of the current interaction technology. The int- face designer receives information about the content. The result of this phase is the production of UI schemes (e. g. , written sentences, visual schemes on paper) for defining classes of interactive experiences (e. g. , class Guided tour). Conceptual schemes are produced both for the final users and the authors. The meta-author has a deep knowledge of the c- tent domain and didactic skills too. He/she communicates with the final user too, in order to focus on didactic aspects of interaction. 2.

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Computer aided architectural design futures 2005 ; Proceedings of the 11th International CAAD futures Conference held at the Vienna University of Technology, Vienna, Austria, on June 20-22, 2005

MARTENS Bob and BROWN Andre Co-conference Chairs, CAAD Futures 2005 Computer Aided Architectural Design is a particularly dynamic field that is developing through the actions of architects, software developers, researchers, technologists, users, and society alike. CAAD tools in the architectural office are no longer prominent outsiders, but have become ubiquitous tools for all professionals in the design disciplines. At the same time, techniques and tools from other fields and uses, are entering the field of architectural design. This is exemplified by the tendency to speak of Information and Communication Technology as a field in which CAAD is embedded. Exciting new combinations are possible for those, who are firmly grounded in an understanding of architectural design and who have a clear vision of the potential use of ICT. CAAD Futures 2005 called for innovative and original papers in the field of Computer Aided Architectural Design, that present rigorous, high-quality research and development work. Papers should point towards the future, but be based on a thorough understanding of the past and present.

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Collaborative and Distributed Chemical Engineering : From Understanding to Substantial Design Process Support; Results of the IMPROVE Project

The focus of IMRPOVE is on understanding, formalizing, evaluating, and, consequently, improving design processes in chemical engineering. In particular, IMPROVE focuses on conceptual design and basic engineering, where the fundamental decisions concerning the design or redesign of a chemical plant are undertaken.

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Making with data : Physical design and craft in a data-driven world

Making with Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data. Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven piece—illustrating their practice with candid sketches, photos, and design artifacts from their own studios. Featuring influential voices in computer science, data science, graphic design, art, craft, and architecture, Making with Data is accessible and inspiring for enthusiasts and experts alike.

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Mack Scogin Merrill Elam : Knowlton Hall

Mack Scogin Merrill Elam Architects/Knowlton Hall provides a comprehensive look at this impressive new work using sketches, models, renderings, working drawings, and photographs. it is accompanied by commentaries from the architects and critics who explore both the technical and contextual elements of the work

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Machine learning for data streams : With practical examples in MOA

The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA.

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Leonardo´s Lost Robots

Reinterprets Leonardo's legacy of notes, showing that apparently unconnected fragments from dispersed manuscripts actually comprise cohesive designs for functioning automata. Using the rough sketches scattered throughout almost all of Leonardo's notebooks, the author has reconstructed Leonardo's programmable cart, which was the platform for other automata: a Robot Lion, a Robot Knight, and a hydraulically powered automaton for striking a bell.

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Calibrating the Cosmos : How Cosmology Explains Our Big Bang Universe

Calibrating the Cosmos describes hard science, but is gently written. It explains in clear, non-mathematical language the measurements and the interpretation of the resulting data that have led to the current understanding of the origin, evolution and properties of our expanding Big Bang universe. Many people have a sketchy idea of the work of cosmologists, but Professor Levin’s experience in teaching both scientific and liberal arts students has enabled him to impart much of our current thinking without resorting to difficult mathematics. Theoretical concepts are emphasized, in particular the symmetries of homogeneity and isotropy enjoyed by our universe on the largest scales, how these symmetries lead to only one quantity being needed to describe the growth of the universe from its infancy to the present time, and how the so-called parameters of the universe are the ingredients used to construct the model universes to which ours – the real thing – is compared.

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Astrophysical concepts

This classic text, aimed at senior undergraduates and beginning graduate students in physics and astronomy, presents a wide range of astrophysical concepts in sufficient depth to give the reader a quantitative understanding of the subject. Emphasizing physical concepts, the book outlines cosmic events but does not portray them in detail: it provides a series of astrophysical sketches. For this fourth edition, nearly every part of the text has been reconsidered and rewritten, new sections have been added to cover recent developments, and others have been extensively revised and brought up to date. The book begins with an outline of the scope of modern astrophysics and enumerates some of the outstanding problems faced in the field today. The basic physics needed to tackle these questions are developed in the next few chapters using specific astronomical processes as examples. The second half of the book enlarges on these topics and shows how we can obtain quantitative insight into the structure and evolution of stars, the dynamics of cosmic gases, the large-scale behavior of the Universe, and the origins of life.

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Astronomical sketching : A step-by-step introduction

At some time we have all gazed through the telescope eyepiece at the magnificent rings and banded globe of Saturn, or seen long shadows reaching across crater floors at the Moon’s terminator – and wondered at the sheer beauty of the sight. It seems almost anachronistic to think of sketching when CCD imaging is available, but astronomical sketching provides an entirely different and deeply personal experience. It means spending time at the eyepiece to really look at what you can see, training your eye to perceive ever greater detail to take the fullest advantage of your telescope's light grasp and resolution.

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Artificial intelligence in the design process : The impact on creativity and team collaboration

Discusses how to include artificial intelligence (AI) systems in the early stages of the design process. Today designers need new tools capable of supporting them in dealing with the increasing project's complexity and empowering their performances and capabilities. AI systems appear to be powerful means to enhance designers' creativity. This assumption was tested in a workshop where sixteen participants collaborated with three AI systems throughout the creative phases of research, sketching, and color selection. Results show that designers can access a broader level of variance and inspiration while reducing the risk of fossilization by triggering lateral thinking through AI-generated data. Therefore, AI could significantly impact the creative phases of the design process if applied consciously. Being AI systems intelligent agents, the book treats the Human-AI collaboration as a collaboration between human agents, proposing a set of guidelines helpful to achieving an efficient partnership with the machine.

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Architectural styles : A visual guide

A guide to architectural styles across the centuries and around the world. Modeled after an architect's plein air sketchbook, the volume features hundreds of detailed drawings by esteemed architectural illustrator Robbie Polley alongside incisive and informative descriptions. This unique guidebook takes readers from Europe and the Americas to Egypt, China, and India. It covers a host of historical and contemporary architectural styles, from ancient and classical to Pre-Columbian, Romanesque, Renaissance, Palladian, art nouveau, Brutalist, and biomorphic. It describes the histories and characteristics of the building traditions of each era and region of the world, and looks at key architectural elements such as buttresses, spandrels, curtain walls, and oculi. The book also includes a section on building parts-from domes and columns to towers, arches, roofs, and vaulting-along with a detailed glossary and bibliography. Comprehensive and authoritative, 'Architectural Styles' is an essential resource for architects and designers and a must-have illustrated guide for anyone interested in architecture or drawing.

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Architectural structures : Visualizing load flow geometrically

Presents an alternative approach to understanding structural engineering load flow using a visually engaging and three-dimensional format. This book presents a ground-breaking new way of establishing equilibrium in architectural structures using the Modern Müller-Breslau method. Includes approachable coverage of parametric modeling of two-dimensional and three-dimensional structures, as well as more advanced topics such as indeterminate structural analysis and plastic analysis. Hundreds of detailed drawings created by the author are included throughout to aid understanding. Architecture and structural engineering students can employ this novel method by hand sketching, or by programming in parametric design software.

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Algorithms and data structures for massive datasets

Learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.

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