LEADER 01385nas a2200289 i 4500 001 991002500799707536 005 20231114120528.0 008 011205d19071970de x p 0 0ger d 022 $a0365-9720 035 $ab11668908-39ule_inst 035 $aocm00000006$9ExL 040 $aDi.S.Te.B.A.$beng 082 0 $a570 229 0$aBericht der Oberhessischen Gesellschaft für Natur- und Heilkunde zu Giessen Naturwissenschaftliche Abteilung 245 00$aBericht der Oberhessischen Gesellschaft für Natur- und Heilkunde zu Giessen Naturwissenschaftliche Abteilung /$cOberhessische Gesellschaft für Natur und Heilkunde. - 1907-1970 260 $aGiessen,$c1907-1970 591 $aCodice CNR: P 00072064 592 $aLE003 1968-1969; 710 2 $aOberhessische Gesellschaft für Natur und Heilkunde zu Giessen :$bNaturwissenchaftliche Abteilung 780 03$aBericht der Oberhessischen Gesellschaft für Natur- und Heilkunde 785 00$tOberhessische naturwissenschaftliche Zeitschrift 907 $a.b11668908$b02-04-14$c08-07-02 912 $a991002500799707536 945 $aLE003 (Fondo SBM)$g1$lle003$og$pE0.00$q-$rn$s- $t18$u0$v0$w0$x0$y.i11893904$z08-07-02 996 $aBericht der Oberhessischen Gesellschaft für Natur- und Heilkunde zu Giessen Naturwissenschaftliche Abteilung$91452501 997 $aUNISALENTO 998 $ale003$b01-01-01$cs$da $e-$fger$gde $h0$i1 LEADER 04417oam 2200661Ka 450 001 9910789570703321 005 20190503073356.0 010 $a0-262-30932-7 010 $a1-283-11912-9 010 $a9786613119124 010 $a0-262-29555-5 035 $a(CKB)2670000000092751 035 $a(EBL)3339228 035 $a(OCoLC)741452452 035 $a(SSID)ssj0000524755 035 $a(PQKBManifestationID)12222181 035 $a(PQKBTitleCode)TC0000524755 035 $a(PQKBWorkID)10488183 035 $a(PQKB)10601445 035 $a(OCoLC)727944876$z(OCoLC)961612461$z(OCoLC)962614403$z(OCoLC)975244841$z(OCoLC)975300480$z(OCoLC)988520040$z(OCoLC)991996157$z(OCoLC)994979762$z(OCoLC)1004443678$z(OCoLC)1004783184$z(OCoLC)1008902842$z(OCoLC)1013724596$z(OCoLC)1017956193$z(OCoLC)1021226046$z(OCoLC)1055391110$z(OCoLC)1065689599$z(OCoLC)1081280987 035 $a(OCoLC-P)727944876 035 $a(MaCbMITP)8594 035 $a(Au-PeEL)EBL3339228 035 $a(CaPaEBR)ebr10476080 035 $a(CaONFJC)MIL311912 035 $a(MiAaPQ)EBC3339228 035 $a(EXLCZ)992670000000092751 100 $a20110601d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPerception beyond inference $ethe information content of visual processes /$fedited by Liliana Albertazzi, Gert J. van Tonder, and Dhanraj Vishwanath 210 $aCambridge, Mass. $cMIT Press$d©2010 215 $a1 online resource (462 p.) 300 $aDescription based upon print version of record. 311 $a0-262-01502-1 320 $aIncludes bibliographical references and indexes. 327 $aCover; Contents; Preface; Acknowledgments; Introduction; 1 Vision and Information; I Time and Dynamics; 2 Riddle of the Past, Puzzle for the Future; 3 Extending Pra?gnanz; 4 Informing through an Imperfect Retina; 5 Perceptual Organization in the Visual Cortex; II Color, Shape, and Space; 6 The Perception of Material Qualities and the Internal Semantics of the Perceptual System; 7 Visual Information in Surface and Depth Perception; 8 Good Continuation in Layers; 9 Illusory Contours and Neon Color Spreading Reconsidered in the Light of Petter's Rule; III Language and Perception 327 $a10 From Grouping to Visual Meanings11 The Perceptual Roots of Metaphor; IV Perception in Art, Design, and Computation; 12 Becoming Information; 13 Becoming; Contributors; Author Index; Subject Index; Insert 330 $aProposing a new paradigm for perceptual science that goes beyond standard information theory and digital computation. This book breaks with the conventional model of perception that views vision as a mere inference to an objective reality on the basis of "inverse optics." The authors offer the alternative view that perception is an expressive and awareness-generating process. Perception creates semantic information in such a way as to enable the observer to deal efficaciously with the chaotic and meaningless structure present at the physical boundary between the body and its surroundings. Vision is intentional by its very nature; visual qualities are essential and real, providing an aesthetic and meaningful interface to the structures of physics and the state of the brain. This view brings perception firmly in line with ethology and modern evolutionary biology and suggests new approaches in all disciplines that study, or require an understanding of, the ontology of mind.The book is the joint effort of a multidisciplinary group of authors. Topics covered include the relationships among stimuli, neuronal processes, and visual awareness. After considering the mind-dependent growing of information, the book treats time and dynamics; color, shape, and space; language and perception; perception, art, and design. 606 $aVisual perception 606 $aCognitive neuroscience 610 $aCOGNITIVE SCIENCES/General 610 $aNEUROSCIENCE/Visual Neuroscience 615 0$aVisual perception. 615 0$aCognitive neuroscience. 676 $a152.14 701 $aAlbertazzi$b Liliana$066513 701 $aVan Tonder$b Gert J.$f1970-$01568609 701 $aVishwanath$b Dhanraj$f1967-$01568610 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910789570703321 996 $aPerception beyond inference$93840857 997 $aUNINA LEADER 05277nam 22006374a 450 001 9911006633003321 005 20200520144314.0 010 $a1-281-32545-7 010 $a9786611325459 010 $a0-08-055909-3 035 $a(CKB)1000000000414452 035 $a(EBL)344684 035 $a(OCoLC)277135696 035 $a(SSID)ssj0000252566 035 $a(PQKBManifestationID)12106109 035 $a(PQKBTitleCode)TC0000252566 035 $a(PQKBWorkID)10180089 035 $a(PQKB)10198092 035 $a(MiAaPQ)EBC344684 035 $a(EXLCZ)991000000000414452 100 $a20080626d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStructural dynamics and probabilistic analyses for engineers /$fGiora Maymon 210 $aAmsterdam ;$aBoston $cElsevier Butterworth-Heinemann$dc2008 215 $a1 online resource (475 p.) 300 $aDescription based upon print version of record. 311 $a0-7506-8765-7 320 $aIncludes bibliographical references (p. 420-426) and index. 327 $aFront Cover; Structural Dynamics and Probabilistic Analyses for Engineers; Copyright Page; Acknowledgments; Table of Contents; List of Figures; List of Tables; Foreword; Preface; Chapter 1. Some Basics of the Theory of Vibrations; 1.1 A Single Degree of Freedom System; 1.2 Response of a SDOF to (any) Transient Load; 1.3 Multiple-Degrees-of-Freedom (MDOF) System; 1.4 Infinite-Degrees-of-Freedom (Continuous) System; 1.5 Mounted Mass; Chapter 2. Dynamic Response of Beams and Other Structures to Deterministic Excitation; 2.1 A Generic Example of a Cantilever Beam 327 $a2.2 Some Basics of the Slender Beam Theory2.3 Modal Analysis of a Slender Cantilever Beam; 2.4 Stress Modes of a Slender Cantilever Beam; 2.5 Response of a Slender Beam to Harmonic Excitation; 2.5.1 Response of Beams to Base Excitation; 2.5.2 Response of a Cantilever Beam Toharmonic Tip Force; 2.5.3 Response of a Cantilever Beam to Harmonic Base Excitation; 2.5.4 Two External Forces; 2.6 Response of a Structure with Mounted Mass to Harmonic Excitation; 2.7 Symmetric and Anti-Symmetric Modes and Loads; 2.8 Response of a Simply Supported Plate to Harmonic Excitation; 2.9 Vibrations of Shells 327 $aChapter 3. Dynamic Response of a Structure to Random Excitation3.1 Random Excitation and Response; 3.2 Response of an Elastic Structure to Random Excitation; 3.2.1 Closed Form Solution; 3.3 Response of a Cantilever Beam to Clamp Displacement Excitation; 3.4 Response of a Cantilever Beam to Tip Displacement Excitation; 3.5 Simulation of an Important Structural Parameter in a Vibration Test; 3.5.1 Two Examples; 3.6 Response of a Structure to Acoustic Excitation; 3.7 An Example of a Frame Structure; 3.8 Response of a Structure with Mounted Mass to Random Excitation 327 $a3.9 Response of a Simply Supported Plate to Random ExcitationChapter 4. Contacts in Structural Systems; 4.1 Static Contact; 4.1.1 An Example of a Static Contact Problem; 4.2 Analytical Solution for a Dynamic Contact Problem; 4.3 The Two Dof Contact Problem; 4.4 Numerical Solution of a Dynamic Contact Problem-Force Excitation; 4.5 Numerical Solution of a Dynamic Contact Problem-Base Excitation; Chapter 5. Nondeterministic Behavior of Structures; 5.1 Probabilistic Analysis of Structures; 5.1.1 The Basic Stress-Strength Case; 5.2 Solutions for the Probability of Failure 327 $a5.2.1 Analytical Solution-The Lagrange Multiplier Method5.2.2 The Monte Carlo Simulation; 5.2.3 Solution with a Probabilistic Analysis Program; 5.2.4 Solutions for Cases Where no Closed-Form Expressions Exist; 5.3 Solution with a Commercial Finite Element Program; 5.4 Probability of Failure of Dynamically Excited Structures; 5.5 Structural Systems; 5.6 Model Uncertainties; Chapter 6. Random Crack Propagation; 6.1 Crack Propagation in a Structural Element; 6.2 Effects of a Static Bias on the Dynamic Crack Growth 327 $a6.3 Stochastic Crack Growth and the Probability of Failure for Harmonic Excitation 330 $aProbabilistic structural dynamics offers unparalleled tools for analyzing uncertainties in structural design. Once avoided because it is mathematically rigorous, this technique has recently remerged with the aide of computer software. Written by an author/educator with 40 years of experience in structural design, this user friendly manual integrates theories, formulas and mathematical models to produce a guide that will allow professionals to quickly grasp concepts and start solving problems. In this book, the author uses simple examples that provide templates for creating of more robust case 606 $aStructural dynamics 606 $aStructural analysis (Engineering) 606 $aProbabilities 615 0$aStructural dynamics. 615 0$aStructural analysis (Engineering) 615 0$aProbabilities. 676 $a624.1/71 676 $a624.171 676 $a624.171 700 $aMaymon$b Giora$0883020 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911006633003321 996 $aStructural dynamics and probabilistic analyses for engineers$94388608 997 $aUNINA