02641nam 2200589 a 450 991013908960332120200520144314.01-280-59239-797866136222281-118-30957-X1-118-30972-31-118-30946-4(CKB)2560000000082747(EBL)822053(Au-PeEL)EBL822053(CaPaEBR)ebr10630577(CaONFJC)MIL362222(OCoLC)795914176(CaSebORM)9781118011034(MiAaPQ)EBC822053(EXLCZ)99256000000008274720120125d2012 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierEmbedded SoPC design with NIOS II processor and Verilog examples[electronic resource] /Pong P. Chu1st editionHoboken, N.J. Wileyc20121 online resource (783 p.)Description based upon print version of record.1-118-01103-1 Includes bibliographical references and index.pt. I. Basic digital circuits development -- pt. II. Basic NIOS II software development -- pt. III. Custom I/O peripheral development -- pt. IV. Hardware accelerator case studies."This book explores the unique hardware programmability of FPGA (field-programmable gate array)-based embedded systems, using a learning-by-doing approach to introduce the concepts and techniques for embedded SoPC (system on a programmable chip) systems with Verilog. The book contains a large number of practical examples to illustrate and reinforce the hardware and software design concepts and techniques, as well as a complete code listing and experiment problems. The book is designed for upper-level undergraduate and entry-level graduate students in computer engineering, as well as practicing engineers"--Provided by publisher.Embedded computer systemsField programmable gate arraysVerilog (Computer hardware description language)Embedded computer systems.Field programmable gate arrays.Verilog (Computer hardware description language)006.2/2TEC008010bisacshChu Pong P.1959-521922MiAaPQMiAaPQMiAaPQBOOK9910139089603321Embedded SoPC design with NIOS II processor and Verilog examples2206401UNINA08750nam 22008895 450 991034927020332120250327165242.09783030337209303033720010.1007/978-3-030-33720-9(CKB)4100000009678235(MiAaPQ)EBC5968198(DE-He213)978-3-030-33720-9(PPN)255702868(EXLCZ)99410000000967823520191025d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Visual Computing 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7–9, 2019, Proceedings, Part I /edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (xxxv, 698 pages)Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;11844Includes index.9783030337193 3030337197 Deep Learning I -- Application of Image Classification for Fine-Grained Nudity Detection -- DeepGRU: Deep Gesture Recognition Utility -- Delineation of Road Networks Using Deep Residual Neural Networks and Iterative Hough Transform -- DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking -- Reconstruction Error Aware Pruning for Accelerating Neural Networks -- Computer Graphics I -- Bioinspired Simulation of Knotting Hagfish -- Interactive 3D Visualization for Monitoring and Analysis of Geographical Traffic Data of Various Domains -- Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs -- Real-Time Ray Tracing with SphericallyProjected Object Data -- Underwater Photogrammetry Reconstruction: GPU Texture Generation from Videos Captured via AUV -- Segmentation/Recognition -- Adaptive Attention Model for Lidar Instance Segmentation -- View Dependent Surface Material Recognition -- 3D Visual Object Detection from Monocular Images -- Skin Identification Using Deep Convolutional Neural Network -- Resolution-independent meshes of superpixels -- Video Analysis and Event Recognition -- Automatic Video Colorization using 3D Conditional Generative Adversarial Networks -- Improving Visual Reasoning With Attention Alignment -- Multi-Camera Temporal Grouping for Play/Break Event Detection in Soccer Games -- Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM -- Augmented Curiosity: Depth and Optical Flow Prediction for Efficient Exploration -- Visualization -- Information Visualization for Highlighting Conflicts in Educational Timetabling Problems -- ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data -- Mutual Information-Based Texture Spectral Similarity Criterion -- Accurate Computation of Interval Volume Measures for Improving Histograms -- Ant-SNE: Tracking Community Evolution via Animated t-SNE -- ST: Computational Vision, AI and Mathematical Methods for Biomedical and Biological Image Analysis -- Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images -- Angio-AI: Cerebral Perfusion Angiography with Machine Learning -- Conformal Welding for Brain-Intelligence Analysis -- Learning Graph Cut Class Prototypes for Thigh CT Tissue Identification -- Automatic Estimation of Arterial Input Function in Digital Subtraction Angiography -- Biometrics -- One-Shot-Learning for Visual Lip-Based Biometric Authentication -- Age Group and Gender Classification of Unconstrained Faces -- Efficient 3D Face Recognition in Uncontrolled Environment -- Pupil Center Localization Using SOMA and CNN -- Real-Time Face Features Localization with Recurrent Refined Dense CNN Architectures -- Virtual Reality I -- Estimation of the distance between fingertips using silhouette and texture information of dorsal of hand -- Measuring Reflectance of Anisotropic Materials using Two Handheld Cameras -- FunPlogs - A Serious Puzzle Mini-Game for Learning FundamentalProgramming Principles Using Visual Scripting -- Automatic camera path generation from 360 video -- Highlighting Techniques for 360 Degree Virtual Reality and Their Immersive Authoring -- Applications I -- Jitter-free registration for Unmanned Aerial Vehicle Videos -- Heart Rate Based Face Synthesis for Pulse Estimation -- Light-weight Novel View Synthesis for Casual Multiview Photography -- DeepPrivacy: A generative adversarial network for face anonymization -- Swarm Optimization Algorithm for Road Bypass Extrapolation -- ST: Vision for Remote Sensing and Infrastructure Inspection -- Concrete Crack Pixel Classification using an Encoder Decoder Based Deep Learning Architecture -- A Geometry-based Method for the Spatio-temporal Detection of Cracks in 4D-Reconstructions -- An Automatic Digital Terrain Generation Technique for Terrestrial Sensing and Virtual Reality Applications -- Rebar Detection and Localization for Non-Destructive Infrastructure Evaluation using Deep Residual Networks -- Computer Graphics II -- Intrinsic Decomposition by learning from Varying Lighting Conditions -- Pixel2Field: Single Image Transformation to Physical Field of Sports Videos -- UnrealGT: Using Unreal Engine to Generate Ground Truth Datasets -- Fast Omnidirectional Depth Densification.This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;11844Pattern recognition systemsImage processingDigital techniquesComputer visionArtificial intelligenceComputer engineeringComputer networksData protectionAutomated Pattern RecognitionComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputer Engineering and NetworksData and Information SecurityPattern recognition systems.Image processingDigital techniques.Computer vision.Artificial intelligence.Computer engineering.Computer networks.Data protection.Automated Pattern Recognition.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.Computer Engineering and Networks.Data and Information Security.006.6006.4Bebis Georgeedthttp://id.loc.gov/vocabulary/relators/edtBoyle Richardedthttp://id.loc.gov/vocabulary/relators/edtParvin Bahramedthttp://id.loc.gov/vocabulary/relators/edtKoracin Darkoedthttp://id.loc.gov/vocabulary/relators/edtUshizima Danielaedthttp://id.loc.gov/vocabulary/relators/edtChai Sekedthttp://id.loc.gov/vocabulary/relators/edtSueda Shinjiroedthttp://id.loc.gov/vocabulary/relators/edtLin Xinedthttp://id.loc.gov/vocabulary/relators/edtLu Aidongedthttp://id.loc.gov/vocabulary/relators/edtThalmann Danieledthttp://id.loc.gov/vocabulary/relators/edtWang Chaoliedthttp://id.loc.gov/vocabulary/relators/edtXu Panpanedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349270203321Advances in Visual Computing772261UNINA