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If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library:
ACM Transactions on Graphics (TOG) Volume 30, Issue 4 (July 2011) Proceedings of ACM SIGGRAPH 2011
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
- ShadowDraw: Real-Time User Guidance for Freehand Drawing
-
Yong Jae Lee
(University of Texas at Austin),
Larry Zitnick,
Michael F. Cohen
(Microsoft Research)
- OverCoat: An Implicit Canvas for 3D Painting
-
Johannes Schmid, Martin Sebastian Senn,
Markus Gross
(ETH Zurich and Disney Research Zurich),
Robert Sumner
(Disney Research Zurich)
- A Programmable System for Artistic Volumetric Lighting
-
Derek Nowrouzezahrai
(Disney Research Zurich),
Jared Johnson
Andrew Selle,
Dylan Lacewell,
Michael Kaschalk
(Walt Disney Animation Studios),
Wojciech Jarosz
(Disney Research Zurich)
- Coherent Noise for Non-Photorealistic Rendering
-
Michael Kass,
Davide Pesare
(Pixar Animation Studios)
- Physically-valid Statistical Motion Models for Human Motion Generation
(TOG Paper)
-
Xiaolin Wei,
Jianyuan Min,
Jin-Xiang Chai
(Texas A&M University)
- Motion Capture From Body-Mounted Cameras
-
Takaaki Shiratori
(Disney Research, Pittsburgh),
Hyun Soo Park
(Carnegie Mellon University),
Leonid Sigal
(Disney Research, Pittsburgh),
Yaser Sheikh
(Carnegie Mellon University),
Jessica Hodgins
(Carnegie Mellon University and Disney Research, Pittsburgh)
- Motion Reconstruction Using Sparse Accelerometer Data
(TOG Paper)
-
Jochen Tautges,
Arno Zinke,
Bjorn Kruger,
Jan Baumann,
Andreas Weber
(Universitat Bonn),
Thomas Helten,
Meinard Muller,
Hans-Peter Seidel
(Max-Planck-Institut Informatik),
Bernd Eberhardt
(Universitat Bonn)
- Video-based Characters - Creating New Human Performances from a Multi-view Video Database
-
Feng Xu
(Tsinghua University, Beijing),
Yebin Liu,
Carsten Stoll
(Max-Planck-Institut Informatik),
James Tompkin
(University College London),
Gaurav Bharaj
(Max-Planck-Institut Informatik),
Qionghai Dai
(Tsinghua University, Beijing),
Hans-Peter Seidel
(Max-Planck-Institut Informatik),
Jan Kautz
(University College London),
Christian Theobalt
(Max-Planck-Institut Informatik)
- Exploration of Continuous Variability in Collections of 3D Shapes
-
Maksim Ovsjanikov
(Stanford University),
Wilmot Li
(Adobe Systems, Inc.),
Leonidas Guibas
(Stanford University),
Niloy J. Mitra
(KAUST)
- Characterizing Structural Relationships in Scenes Using Graph Kernels
-
Matthew Fisher,
Manolis Savva,
Pat Hanrahan
(Stanford University)
- Probabilistic Reasoning for Assembly-Based 3D Modeling
-
Siddhartha Chaudhuri,
Evangelos Kalogerakis,
Leonidas Guibas,
Vladlen Koltun
(Stanford University)
- Shape google: Geometric words and expressions for invariant shape retrieval
(TOG Paper)
-
Alexander Bronstein
(Tel Aviv University),
Michael Bronstein
(Universita della Svizzera Italiana),
Leonidas Guibas
Maksim Ovsjanikov
(Stanford University)
- Eulerian Solid Simulation With Contact
-
David I.W. Levin,
Joshua Litven,
Garrett L. Jones,
Shinjiro Sueda,
Dinesh Pai
(University of British Columbia)
- Efficient Elasticity for Character Skinning with Contact and Collisions
-
Aleka McAdams,
(Walt Disney Animation Studios and University of California, Los Angeles),
Yongning Zhu
(PDI/Dreamworks),
Andrew Selle,
Mark Empey, Rasmus Tamstorf
(Walt Disney Animation Studios),
Joseph M. Teran,
(University of California, Los Angeles),
Eftychios Sifakis
(University of Wisconsin-Madison)
- Toward High-Quality Modal Contact Sound
-
Changxi Zheng,
Doug James
(Cornell University)
- A Nonsmooth Newton Solver for Capturing Exact Coulomb Friction in Fiber Assemblies
(TOG Paper)
-
Florence Bertails-Descoubes,
Florent Cadoux,
Gilles Daviet,
Vincent Acary
(INRIA)
- Large-Scale Dynamic Simulation of Highly Constrained Strands
-
Shinjiro Sueda,
Garrett L. Jones,
David I.W. Levin,
Dinesh Pai
(University of British Columbia)
- HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions
-
Rafal Mantiuk
(Bangor University),
Kil Joong Kim
(Seoul National University),
Allan G. Rempel,
Wolfgang Heidrich
(University of British Columbia)
- A Versatile HDR Video Production System
(
)
(
_
-
Mike Tocci
(University of New Mexico and Contrast Optical),
Chris Kiser
(University of New Mexico),
Nora Tocci
(Contrast Optical),
Pradeep Sen
(UNM Advanced Graphics Lab)
- Perceptually Based Tone Mapping for Low-Light Conditions
-
Adam G. Kirk,
James F. O'Brien
(University of California, Berkeley)
- Illumination Decomposition for Material Recoloring with Consistent Interreflections
-
Rob Carroll,
Ravi Ramamoorthi,
Maneesh Agrawala,
(University of California, Berkeley)
- Building Volumetric Appearance Models of Fabric using Micro CT Imaging
-
Shuang Zhao,
Wenzel Jakob,
Steve Marschner,
Kavita Bala
(Cornell University)
- Pocket Reflectometry
-
Peiran Ren
(Tsinghua University),
Jiaping Wang
(Microsoft Research Asia),
John Snyder
(Microsoft Research),
Xin Tong,
Baining Guo
(Microsoft Research Asia)
- Microgeometry Capture Using an Elastomeric Sensor
-
Micah Johnson,
Forrester Cole,
Alvin Raj,
Edward Adelson
(Massachusetts Institute of Technology)
- CATRA: Interactive Measuring and Modeling of Cataracts
-
Vitor F. Pamplona,
Erick Baptista Passos,
Jan Zizka
(MIT Media Lab),
Manuel M. Oliveira
(Instituto de Informatica - UFRGS),
Esteban Clua
(UFF/Brazil),
Ramesh Raskar
(MIT Media Lab)
- Blue-Noise Point Sampling using Kernel Density Model
-
Raanan Fattal
(The Hebrew University of Jerusalem)
- Efficient Maximal Poisson-Disk Sampling
-
Mohamed S. Ebeida
(Sandia National Laboratories),
Anjul Patney
(University of California, Davis),
Scott A. Mitchell
(Sandia National Laboratories),
Andrew Davidson
(University of California, Davis),
Patrick M. Knupp
(Sandia National Laboratories),
John D. Owens
(University of California, Davis)
- Differential Domain Analysis for Non-uniform Sampling
-
Li-Yi Wei
(Microsoft Research),
Rui Wang
(University of Massachusetts)
- Filtering Solid Gabor Noise
-
Ares Lagae
(Katholieke Universiteit Leuven and REVES/INRIA Sophia-Antipolis),
George Drettakis
(REVES/INRIA Sophia-Antipolis)
- GlobFit: Consistently Fitting Primitives by Discovering Global Relations
(
)
(
)
-
Yangyan Li
(Shenzhen Institutes of Advanced Technology (SIAT)),
Xiaokun Wu
(Shenzhen Institutes of Advanced Technology (SIAT) and Zhejiang University),
Yiorgos Chrysanthou
(University of Cyprus),
Andrei Sharf
(Ben-Gurion University and Shenzhen Institutes of Advanced Technology (SIAT)),
Daniel Cohen-Or
(Tel Aviv University),
Niloy J. Mitra
(KAUST)
- Global Registration of Dynamic Range Scans for Articulated Model Reconstruction
(TOG Paper)
-
Will Chang,
(University of California San Diego),
Matthias Zwicker
(University of Bern)
- Texture-Lobes for Tree Modelling
(
)
(
)
-
Yotam Livny
(Shenzhen Institutes of Advanced Technology (SIAT)),
Soeren Pirk
(University of Konstanz),
Zhanglin Cheng
Feilong Yan,
(Shenzhen Institutes of Advanced Technology (SIAT)),
Oliver Deussen
(University of Konstanz),
Daniel Cohen-Or
(Tel Aviv University),
Baoquan Chen
(Shenzhen Institutes of Advanced Technology (SIAT))
- L1-sparse Reconstruction of Sharp Point Set Surfaces
(TOG Paper)
-
Haim Avron
(Tel Aviv University),
Andrei Sharf
(Ben-Gurion University),
Chen Greif
(University of British Columbia),
Daniel Cohen-Or
(Tel Aviv University)
- High-Quality Spatio-Temporal Rendering using Semi-Analytical Visibility
-
Carl Johan Gribel,
Rasmus Barringer
(Lund University),
Tomas Akenine-Moller
(Lund University and Intel Corporation)
- Frequency Analysis and Sheared Filtering for Shadow Light Fields of Complex Occluders
(TOG Paper)
-
Kevin Egan
(Columbia University),
Florian Hecht
(University of California, Berkeley),
Fredo Durand
(MIT CSAIL),
Ravi Ramamoorthi
(University of California, Berkeley)
- Temporal Light Field Reconstruction for Rendering Distribution Effects
(
)
(
)
-
Jaakko Lehtinen,
Timo Aila
(NVIDIA Research),
Jiawen Chen
(MIT CSAIL),
Samuli Laine
(NVIDIA Research),
Fredo Durand
(MIT CSAIL)
- The Area Perspective Transform: A Homogeneous Transform for Efficient In-Volume Queries
(TOG Paper)
-
Warren Hunt,
Greg Johnson
(Intel Corporation)
- A Quantized-Diffusion Model for Rendering Translucent Materials
-
Eugene d'Eon,
Geoffrey Irving
(Weta Digital)
- A Comprehensive Theory of Volumetric Radiance Estimation using Photon Points and Beams
(TOG Paper)
-
Wojciech Jarosz
(Disney Research Zurich and University of California San Diego),
Derek Nowrouzezahrai
(Disney Research Zurich and University of Toronto),
Iman Sadeghi,
Henrik Wann Jensen
(University of California San Diego)
- Progressive Photon Mapping: A Probabilistic Approach
(TOG Paper)
-
Claude Knaus,
Matthias Zwicker
(University of Bern)
- Cache-Oblivious Ray Reordering
(TOG Paper)
-
Bochang Moon,
Youngyong Byun,
Tae-Joon Kim,
Pio Claudio
(KAIST),
Hye-sun Kim,
Yun-ji Ban,
Seung Woo Nam
(Electronics and Telecommunications Research Institute (ETRI)),
Sung-Eui Yoon
(KAIST)
- Interactive and Anisotropic Geometry Processing Using the Screened Poisson Equation
-
Ming Chuang,
Michael Kazhdan
(Johns Hopkins University)
- Dinus: Double insertion, nonuniform, stationary subdivision surfaces
(TOG Paper)
-
Kerstin Muller,
Christoph Funfzig,
Lars Reusche
(Technical University Kaiserslautern, Germany),
Dianne Hansford,
Gerald Farin
(Arizona State University),
Hans Hagen
(Technical University Kaiserslautern, Germany)
- An Efficient Scheme for Curve and Surface Construction Based on a Set of Interpolatory Basis Functions
(TOG Paper)
-
Ren-Jiang Zhang
(Zhejiang Gongshang University and City University of Hong Kong),
Weiyin Ma
(City University of Hong Kong)
- Space-time Planning with Parameterized Locomotion Controllers
(TOG Paper)
-
Sergey Levine
(Stanford University),
Yongjoon Lee
(University of Washington),
Vladlen Koltun
(Stanford University),
Zoran Popovic
(University of Washington)
- Articulated Swimming Creatures
-
Jie Tan,
Yuting Gu,
Greg Turk,
C. Karen Liu
(Georgia Institute of Technology)
- Locomotion Skills for Simulated Quadrupeds
-
Stelian Coros
(Disney Research Zurich),
Andrej Karpathy,
Ben Jones
(University of British Columbia),
Lionel Reveret
(INRIA, Grenoble University, CNR),
Michiel van de Panne
(University of British Columbia)
- Composite Control of Physically Simulated Characters
(TOG Paper)
-
Uldarico Muico
(University of Washington),
Jovan Popovic
(Adobe Systems, Inc.),
Zoran Popovic
(University of Washington)
- Character Animation in Two-player Adversarial Games
(TOG Paper)
-
Kevin Wampler,
Erik Andersen,
Evan Herbst,
Yongjoon Lee,
Zoran Popovic
(University of Washington)
- Expression Flow for 3D-Aware Face Component Transfer
-
Fei Yang
(Rutgers University),
Jue Wang,
Eli Shechtman,
Lubomir Bourdev
(Adobe Systems, Inc.),
Dimitris Metaxas
(Rutgers University)
- Image-Guided Weathering: A New Approach Applied to Flow Phenomena
()
(
)
(TOG Paper)
-
Carles Bosch
(Yale University and REVES/INRIA Sophia-Antipolis),
Pierre-Yves Laffont
(REVES/INRIA Sophia-Antipolis),
Holly Rushmeier,
Julie Dorsey
(Yale University),
George Drettakis
(REVES/INRIA Sophia-Antipolis)
- Exploring Photobios
-
Ira Kemelmacher-Shlizerman,
Rahul Garg,
Steven M. Seitz
(University of Washington),
Eli Shechtman
(Adobe Systems, Inc.)
- Discrete Element Textures
-
Chongyang Ma
(Tsinghua University),
Li-Yi Wei
(Microsoft Research),
Xin Tong
(Microsoft Research Asia)
- Color Compatibility from Large Datasets
-
Peter O'Donovan
(University of Toronto),
Aseem Agarwala
(Adobe Systems, Inc.),
Aaron Hertzmann
(University of Toronto)
- Edge-Aware Color Appearance
(TOG Paper)
-
Min H. Kim
(Yale University and University College London) ,
Tobias Ritschel
(Telecom ParisTech and Max-Planck-Institut Informatik),
Jan Kautz
(University College London)
- Example-based Image Color and Tone Style Enhancement
-
Baoyuan Wang
(Zhejiang University),
Yizhou Yu
(University of Illinois at Urbana-Champaign and Zhejiang University),
Ying-Qing Xu
(Microsoft Research Asia)
- Switchable Primaries Using Shiftable Layers of Color Filter Arrays
-
Behzad Sajadi,
Aditi Majumder
(University of California, Irvine),
Kazuhiro Hiwada (Toshiba Corporation),
Atsuto Maki (Toshiba Research Europe, Cambridge),
Ramesh Raskar
(MIT Media Lab)
- Contributing Vertices-Based Minkowski Sum of a Non-Convex--Convex Pair of Polyhedra
(TOG Paper)
-
Hichem Barki
Florence Denis
Florent Dupont
(CNRS)
- MeshFlow: Interactive Visualization of Mesh Construction Sequences
(
)
-
Jonathan D. Denning,
William Kerr,
Fabio Pellacini
(Dartmouth College)
- LR: Compact Connectivity Representation for Triangle Meshes
()
(
)
-
Topraj Gurung,
Mark Luffel
(Georgia Institute of Technology),
Peter Lindstrom
(Lawrence Livermore National Laboratory),
Jarek Rossignac
(Georgia Institute of Technology)
- On the Velocity of an Implicit Surface
(TOG Paper)
-
Jos Stam
(Autodesk Research),
Ryan Schmidt
(University of Toronto)
- Antialiasing Recovery
(TOG Paper)
-
Lei Yang,
Pedro V. Sander
(Hong Kong University of Science and Technology),
Jason Lawrence
(University of Virginia),
Hugues Hoppe
(Microsoft Research)
- Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid
-
Sylvain Paris
(Adobe Systems, Inc.),
Samuel W. Hasinoff
(Toyota Technological Institute at Chicago and MIT CSAIL),
Jan Kautz
(University College London)
- Domain Transform for Edge-Aware Image and Video Processing
-
Eduardo S. L. Gastal,
Manuel M. Oliveira
(Instituto de Informatica - UFRGS),
- Non-Rigid Dense Correspondence with Applications for Image Enhancement
-
Yoav Hacohen
(The Hebrew University),
Eli Shechtman,
Dan Goldman
(Adobe Systems, Inc.),
Dani Lischinski
(The Hebrew University)
- Data-Driven Elastic Models for Cloth: Modeling and Measurement
-
Huamin Wang,
James F. O'Brien,
Ravi Ramamoorthi
(University of California, Berkeley)
- Frame-based Elastic Models
(TOG Paper)
-
Benjamin Gilles,
Guillaume Bousquet,
Francois Faure
(EVASION / LJK INRIA Rhone-Alpes),
Dinesh Pai
(University of British Columbia)
- Example-Based Elastic Materials
-
Sebastian Martin
(ETH Zurich),
Bernhard Thomaszewski
(Disney Research Zurich),
Eitan Grinspun
(Columbia University),
Markus Gross
(ETH Zurich and Disney Research Zurich)
- Sparse Meshless Models of Complex Deformable Objects
-
Francois Faure,
Benjamin Gilles,
Guillaume Bousquet
(EVASION / LJK INRIA Rhone-Alpes),
Dinesh Pai
(University of British Columbia)
- Leveraging Motion Capture and 3D Scanning for High-Fidelity Facial Performance Acquisition
-
Haoda Huang
(Microsoft Research Asia),
Jin-Xiang Chai
(Texas A&M University),
Xin Tong,
Hsiang-Tao Wu
(Microsoft Research Asia)
- High-Quality Passive Facial Performance Capture Using Anchor Frames
-
Thabo Beeler
(ETH Zurich and Disney Research Zurich),
Fabian Hahn,
Derek Bradley,
Bernd Bickel,
Paul Beardsley
(Disney Research Zurich),
Craig Gotsman
(Technion-Israel Institute of Technology),
Bob Sumner
Markus Gross
(Disney Research Zurich)
- Interactive Region-based Linear 3D Face Models
-
Jose Rafael Tena
(University of Surrey),
Fernando de la Torre
(Carnegie Mellon University),
Iain Matthews
(Disney Research)
- Realtime Performance-Based Facial Animation
(
)
-
Thibaut Weise,
Sofien Bouaziz,
Hao Li,
Mark Pauly
(EPFL)
- Bounded Biharmonic Weights for Real-Time Deformation
-
Alec Jacobson
(New York University),
Ilya Baran
(Disney Research Zurich),
Jovan Popovic
(Adobe Systems, Inc.),
Olga Sorkine
(New York University)
- Blended Intrinsic Maps
-
Vladimir G. Kim,
Yaron Lipman,
Thomas Funkhouser
(Princeton University)
- Biharmonic Distance
(TOG Paper)
-
Yaron Lipman
(Princeton University),
Raif Rustamov
(Drew University),
Thomas Funkhouser
(Princeton University)
- Photo-Inspired Model-Driven 3D Object Modeling
-
Kai Xu
(National University of Defense Technology and Simon Fraser University),
Hanlin Zheng
(Zhejiang University),
Hao Zhang
(Simon Fraser University),
Daniel Cohen-Or
(Tel Aviv University),
Ligang Liu
(Zhejiang University),
Yueshan Xiong
(National University of Defense Technology)
- Two-Scale Particle Simulation
-
Barbara Solenthaler,
Markus Gross
(ETH Zurich)
- Real-Time Eulerian Water Simulation Using a Restricted Tall Cell Grid
-
Nuttapong Chentanez,
Matthias Mueller
(NVIDIA PhysX Research)
- A PML-Based Nonreflective Boundary for Free Surface Fluid Animation
(TOG Paper)
-
Andreas Soderstrom,
Matts Karlsson
(Linkoping University),
Ken Museth
(PDI/Dreamworks and Linkoping University)
- Guide shapes for high resolution naturalistic liquid simulation
-
Michael Nielsen
(Weta Digital),
Robert Bridson
(University of British Columbia and Weta Digital)
- Animating Fire With Sound
-
Jeffrey Chadwick,
Doug James
(Cornell University)
- Converting 3D Furniture Models to Fabricatable Parts and Connectors
-
Manfred Lau
(Japan Science and Technology Agency),
Akira Ohgawara
(University of Tokyo),
Jun Mitani
(University of Tsukuba and Japan Science and Technology Agency),
Takeo Igarashi
(University of Tokyo and Japan Science and Technology Agency)
- Make it Home: Automatic Optimization of Furniture Arrangement
-
Lap-Fai Yu,
Sai-Kit Yeung
(University of California, Los Angeles),
Chi-Keung Tang
(Hong Kong University of Science and Technology),
Demetri Terzopoulos,
Tony F. Chan,
Stanley Osher
(University of California, Los Angeles)
- Interactive Furniture Layout Using Interior Design Guidelines
-
Paul Merrell,
Eric Schkufza,
Zeyang Li
(Stanford University),
Maneesh Agrawala,
(University of California, Berkeley),
Vladlen Koltun
(Stanford University)
- Interactive Architectural Modeling with Procedural Extrusions
(TOG Paper)
-
Tom Kelly
(Glasgow),
Peter Wonka
(Arizona State University)
- Metropolis Procedural Modeling
(TOG Paper)
-
Jerry O. Talton,
Yu Lou,
Steve Lesser,
Jared Duke
(Stanford University),
Radomir Mech
(Adobe Systems, Inc.),
Vladlen Koltun
(Stanford University)
- Image and Video Upscaling from Local Self-Examples
(TOG Paper)
-
Gilad Freeman,
Raanan Fattal
(The Hebrew University of Jerusalem)
- Scalable and Coherent Video Resizing with Per-Frame Optimization
-
Yu-Shuen Wang
(National Chiao Tung University, Taiwan and National Cheng Kung University, Taiwan),
Jen-Hung Hsiao
(National Cheng Kung University, Taiwan),
Olga Sorkine
(New York University and ETH Zurich),
Tong-Yee Lee
(National Cheng Kung University, Taiwan)
- Subspace Video Stabilization
(TOG Paper)
-
Feng Liu
(Portland State University),
Michael Gleicher
(University of Wisconsin-Madison),
Jue Wang,
Hailin Jin,
Aseem Agarwala
(Adobe Systems, Inc.)
- Tonal Stabilization of Video
-
Zeev Farbman,
Dani Lischinski
(The Hebrew University of Jerusalem)
- Sensitive Couture for Interactive Garment Design
()
(
)
-
Nobuyuki Umetani
(University of Tokyo),
Danny Kaufman
(Columbia University),
Takeo Igarashi
(University of Tokyo),
Eitan Grinspun
(Columbia University)
- Real-Time Large-Deformation Substructuring
-
Jernej Barbic,
Yili Zhao
(University of Southern California)
- Solid Simulation with Oriented Particles
-
Matthias Mueller,
Nuttapong Chentanez
(NVIDIA PhysX Research)
- Physics-Inspired Upsampling for Cloth Simulation in Games
-
Ladislav Kavan
(Disney Interactive Studios),
Daniel Gerszewski,
Adam Bargteil
(University of Utah),
Peter-Pike Sloan
(Disney Interactive Studios)
- Computational Stereo Camera System With Programmable Control Loop
-
Simon Heinzle
(Disney Research Zurich),
Pierre Greisen
(Disney Research Zurich and ETH Zurich),
David Gallup
(University of North Carolina at Chapel Hill),
Christine Chen,
Daniel Saner
(ETH Zurich),
Aljoscha Smolic
(Disney Research Zurich),
Andreas Peter Burg
(ETH Zurich),
Wojciech Matusik
(Disney Research Zurich)
Markus Gross
(ETH Zurich and Disney Research Zurich)
- Highlighted DOF Photography: Shining Light on Focus
(TOG Paper)
-
Jaewon Kim,
Roarke Horstmeyer
(MIT Media Lab),
Ig-Jae Kim
(Korea Institute of Science and Technology),
Ramesh Raskar
(MIT Media Lab)
- Layered 3D: Tomographic Image Synthesis for Attenuation-based Light Field and High Dynamic Range Displays
(
)
(
)
(
)
-
Gordon Wetzstein
(University of British Columbia),
Douglas Lanman
(MIT Media Lab),
Wolfgang Heidrich
(University of British Columbia),
Ramesh Raskar
(MIT Media Lab)
- A Perceptual Model for Disparity
-
Piotr Didyk,
Tobias Ritschel,
Elmar Eisemann,
Karol Myszkowski,
Hans-Peter Seidel
(Max-Planck-Institut Informatik)
- Making Burr Puzzles from 3D Models
-
Shi-Qing Xin,
Chi-Fu Lai,
Chi-Wing Fu
(Nanyang Technological University, Singapore),
Tien-Tsin Wong
(Chinese University of Hong Kong),
Ying He
(Nanyang Technological University, Singapore),
Daniel Cohen-Or
(Tel Aviv University)
- A Geometric Study of V-style Pop-ups: Theories and Algorithms
-
Xian-Ying Li
(Tsinghua University, Beijing),
Tao Ju
(Washington University in St. Louis),
Yan Gu,
Shi-Min Hu
(Tsinghua University, Beijing)
- Depixelizing Pixel Art
-
Johannes Kopf
(Microsoft Research),
Dani Lischinski
(The Hebrew University of Jerusalem)
- Digital Micrography
-
Ron Maharik,
Mikhail Bessmeltsev,
Alla Sheffer,
(University of British Columbia),
Ariel Shamir
(Interdisciplinary Center),
Nathan Carr
(Adobe Systems, Inc.)
- Circular arc structures
-
Pengbo Bo
(The University of Hong Kong),
Helmut Pottmann,
Martin Kilian
(TU Wien),
Wenping Wang
(The University of Hong Kong),
Johannes Wallner
(TU Graz/TU Wien)
- Discrete Laplacians on General Polygonal Meshes
-
Marc Alexa
(Technischen Universitat Berlin),
Max Wardetzky
(Univeristat Gottingen)
- HOT: Hodge-Optimized Triangulations
-
Patrick Mullen,
Pooran Memari,
Fernando de Goes,
Mathieu Desbrun
(Caltech)
- Spin Transformations of Discrete Surfaces
-
Keenan Crane
(California Institute of Technology),
Ulrich Pinkall
(Technische Universitat Berlin),
Peter Schroder
(California Institute of Technology)
- Interactive Editing of Massive Imagery Made Simple: Turning Atlanta into Atlantis
(TOG Paper)
-
Brian Summa,
Giorgio Scorzelli
(University of Utah),
Ming Jiang
(Lawrence Livermore National Laboratory),
Peer-Timo Bremer
(University of Utah and Lawrence Livermore National Laboratory),
Valerio Pascucci
(University of Utah)
- Geodesic Image and Video Editing
(TOG Paper)
-
Antonio Criminisi,
Toby Sharp,
Carsten Rother
(Microsoft Research),
Patrick Perez
(Technicolor Corporate Research)
- Matting and Compositing of Transparent and Refractive Objects
(TOG Paper)
-
Sai-Kit Yeung,
(University of California, Los Angeles),
Chi-Keung Tang,
(Hong Kong University of Science and Technology),
Michael S. Brown,
(National University of Singapore),
Sing Bing Kang
(Microsoft Research)
- Nonlinear Revision Control for Images
-
Hsiang-Ting Chen
(National Tsing Hua University, Taiwan),
Li-Yi Wei
(Microsoft Research),
Chun-Fa Chang
(National Taiwan Normal University, Taiwan)
- Clipless Dual-Space Bounds for Faster Stochastic Rasterization
-
Samuli Laine,
Timo Aila,
Tero Karras,
Jaakko Lehtinen,
(NVIDIA Research)
- Decoupled Sampling for Graphics Pipelines
(TOG Paper)
-
Jonathan Ragan-Kelley,
Jaakko Lehtinen,
Jiawen Chen
(MIT CSAIL),
Michael Doggett
(Lund University),
Fredo Durand
(MIT CSAIL)
- Spark: Modular, Composable Shaders for Graphics Hardware
(
)
(
)
-
Tim Foley
(Intel Corporation and Stanford University),
Pat Hanrahan
(Stanford University)
- Physically-Based Real-Time Lens Flare Rendering
-
Matthias Hullin
(Max-Planck-Institut Informatik),
Elmar Eisemann
(Telecom ParisTech (ENST)),
Hans-Peter Seidel
(Max-Planck-Institut Informatik),
Sungkil Lee
(Sungkyunkwan University)
kesen.huang@gmail.com


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List of TweetNaCl.js authors
Alphabetical order by first name.
Format: Name (GitHub username or URL)
- AndSDev (@AndSDev)
- Devi Mandiri (@devi)
- Dmitry Chestnykh (@dchest)
List of authors of third-party public domain code from which TweetNaCl.js code was derived
- Andrew Moon (@floodyberry)


--- layout: default title: Community description: Progressive Hacknight is a central hub for Chicago's civic tech community. The easiest thing you can do get involved is show up to a Tuesday Progressive Hacknight. In addition to that, there are many ways to get involved. ---
Progressive Hacknight is a central hub for Chicago's civic tech community. The easiest thing you can do get involved is show up to a Tuesday Progressive Hacknight. In addition to that, there are many ways to get involved:
Subscribe to updates on upcoming Progressive Hacknight speakers and events.
SubscribeJoin our Slack Team to keep up with news and projects in New York.
Join our Slack TeamBrowse our weekly breakouts to find your learning or working group.
Breakout groupsCheck out the ever-growing ecosystem of civic tech events in New York.
NY Tech Alliance - The mission of the NY Tech Alliance is to represent, inspire, support, and help lead the New York technology community and ecosystem to create a better future for all.
The New York Civic Tech Meetup – The New York Civic Tech Meetup is for change-makers, social entrepreneurs, artists, hackers, academics, technologists, and government employees who want to use technology to improve the lives of citizens. Together, we share knowledge, build tools, and solve problems.
Beta NYC - BetaNYC is a civic organization dedicated to improving lives in New York through civic design, technology, and data. We envision an informed and empowered public that can leverage civic design, technology, and data to hold government accountable, and improve their economic opportunity.


The Filth and the Fury ****
Rated on a 4-star scale Screening venue: Cornerhouse (Manchester) Released in the UK by Film Four on May 26, 2000; certificate 15; 107 minutes; country of origin UK; aspect ratio 1.85:1
Directed by Julien Temple; produced by Anita Camarata, Amanda Temple. Edited by Niven Howe.
A documentary with interviews of Paul Cook, Steve Jones, Johnny Lyden, Glen Matlock, Malcolm McLaren, Nancy Spungen and Sid Vicious.
No, I'm afraid Johnny Rotten is wrong: the Sex Pistols were not the first band to provide anthems for the young discontented. And their gigs were not the first opportunity for females to express individuality. But thank God they thought so, because their self-importance spurred them on, and as they became more extreme, they pissed off all the right people. It wasn't exactly a case of their lyrics exposing the depravity or hypocrisy of the British establishment; their outrageousness provoked it into exposing itself.
Consider: At one point during the group's short life, in the period of 1977-78, one London city councillor was riled enough to declare that they would be "much improved by sudden death". When their controversial single "God Save the Queen" rose to Number One on the British charts, it was denied a listing, leaving the top spot blank. And who could forget their infamous live television appearance with Bill Grundy, where they exploited his drunkenness by slipping swear words into the conversation. Grundy, half asleep, thought he was having a calm chat; the audience was outraged.
Julien Temple's "The Filth and the Fury" is a masterful new documentary about the fuss the Sex Pistols caused, which takes us through the above events and many more. It's one helluva colourful history.  They of course found it delightful, because pushing the buttons of stuffed shirts gave them a thrill, and everyone who took a stern line on them ended up looking foolish. "The Filth and the Fury" shows this well. For anyone who thinks violent thoughts at the sight of Daily Mail reporters or conservative MPs, it's a movie that inspires applause, and giggles of subversive glee.
The story of the Pistols has been told in two previous feature-length documentaries, "The Great Rock and Rock 'n Roll Swindle" (1980) and "D.O.A." (1981).  Since "The Filth and The Fury" has been made twenty years after the events it depicts, Temple, the director, has the benefit of hindsight, maturity, and access to a bigger collection of footage than ever before.
His film sets up a historical context for its tale, depicting the atmosphere of Britian in the 70s, when garbage piled up in central London, protests about everything dominated the news, the National Front gained support and wild fashions offered people an escape from reality. The Sex Pistols did not solve this with revolutionary profundity, but you have do give them credit for a dirty and aggressive form of artistic expression that was much more in-keeping with the spirit of the time than cheery disco music. Screaming about anarchy and wearing torn leathers simply made more sense than longing for "Night Fever" over a blow-drier.
Temple takes this idea too far when he cuts between the Pistols sizzling onstage and such images as the stand-up comedy of Ken Dodd and the over-the-top celebrations of the Queen's Silver Jubilee. He's trying to show how awesome the greatness of the band was against the cheesy culture of its time, but this is the one argument in the film that doesn't ring true, because we're never convinced that the excerpts we see are truly emblematic of that culture. Think about it -- you could take clips of a Peter Kaye routine and public grief over Princess Diana, and intercut them with a Blur performance of "Song 2". It wouldn't prove anything about the 90s.
This is a minor quibble, because the Sex Pistols' songs are strong enough to give power to the film without having to serve as a rebuttal for lesser art. Reviews shovelling the old cliché that you can enjoy the movie without being a fan seem to have been written by critics who either liked the music but felt silly afterward, or got a headache from the movie but didn't want to look square for denouncing it on that basis.
But I love the Sex Pistols -- their filth, their fury, their irony, energy, edge. And as long as viewers go without an aversion to the band, they should find "The Filth and the Fury" to be a work of greatness. The film mixes present-day interviews with archive footage shot on primitive videotape, but it's not like every other music documentary doing that -- the audio from the interviews is mostly overlayed over the old film clips, and so everything happens in our head, like a radio play. The few times the new interviews are shown onscreen, the faces are in silhouette, and the photographic style matches the grainy, pixelated stuff -- so we're never conscious of the film transitions, and the hypnotic spell is unbroken.
COPYRIGHT(c) 2000 Ian Waldron-Mantgani Please visit, and encourage others to visit, the UK Critic's website at http://members.aol.com/ukcritic
The review above was posted to the
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See: Description
| Interface | Description |
|---|---|
| AttributeConverter<A,D> |
Converts persistent attribute values (fields or properties) to different
values stored in the underlying datastore and vice versa.
|
| Constants |
Constant values used in JDO.
|
| Extent<E> |
Instances of the
Extent class represent the entire collection
of instances in the data store of the candidate class or interface
possibly including its subclasses or subinterfaces. |
| FetchGroup |
FetchGroup represents a named fetch group for a specific class or
interface.
|
| FetchPlan |
Fetch groups are activated using methods on this interface.
|
| InstanceCallbacks |
A
PersistenceCapable class that provides callback methods for life
cycle events implements this interface. |
| JDOEnhancer |
Interface for a JDO Enhancer.
|
| JDOQLTypedQuery<T> |
Interface for a type-safe refactorable JDOQL query, using a fluent API, based around expressions.
|
| JDOQLTypedSubquery<T> |
Interface for a type-safe subquery, using a fluent API.
|
| PersistenceManager |
PersistenceManager is the primary interface for JDO-aware
application components. |
| PersistenceManagerFactory |
The
PersistenceManagerFactory is the interface to use to obtain
PersistenceManager instances. |
| Query<T> |
The
Query interface allows applications to obtain persistent
instances, values, and aggregate data from the data store. |
| Transaction |
The JDO
Transaction interface provides for initiation and
completion of transactions under user control. |
| Class | Description |
|---|---|
| AttributeConverter.UseDefault |
Dummy converter to represent "use the implementation default for this type" when using annotations.
|
| Enhancer |
Main class to invoke a JDO Enhancer.
|
| JDOHelper |
This class can be used by a JDO-aware application to call the JDO behavior
of
PersistenceCapable instances without declaring them to be
PersistenceCapable . |
| Enum | Description |
|---|---|
| ObjectState |
This class defines the object states for JDO instances.
|
| Exception | Description |
|---|---|
| JDOCanRetryException |
This is the base class for exceptions that can be retried.
|
| JDODataStoreException |
This class represents data store exceptions that can be retried.
|
| JDODetachedFieldAccessException |
This class represents exceptions caused by access of an unloaded field while
the instance is detached.
|
| JDOEnhanceException |
Exception thrown when an error occurs during enhancement.
|
| JDOException |
This is the root of all JDO Exceptions.
|
| JDOFatalDataStoreException |
This class represents data store exceptions that cannot be retried.
|
| JDOFatalException |
This class represents exceptions that are fatal; that is, the condition
that caused it cannot be bypassed even if the operation is retried.
|
| JDOFatalInternalException |
This class represents errors in the implementation for which no user
error handling is possible.
|
| JDOFatalUserException |
This class represents user errors that cannot be retried.
|
| JDONullIdentityException |
An instance of this class is thrown when attempting to create an object id
when the object id constructor parameter is null.
|
| JDOObjectNotFoundException |
This class represents exceptions caused by the user accessing
an object that does not exist in the datastore.
|
| JDOOptimisticVerificationException |
This class represents optimistic verification failures.
|
| JDOQueryInterruptedException |
This class represents exceptions caused when a query is cancelled by a user calling
Query.cancel().
|
| JDOReadOnlyException |
This class represents exceptions caused by an attempt to update a datastore
when the PMF was created as "read-only".
|
| JDOUnsupportedOptionException |
This class represents exceptions caused by the use of optional features
not supported by the JDO implementation.
|
| JDOUserCallbackException |
This class represents exceptions caused by exceptions thrown
during execution of callbacks or listeners.
|
| JDOUserException |
This class represents user errors that can possibly be retried.
|
There are two major objectives of the JDO architecture: first, to provide application programmers a transparent, Java-centric view of persistent information, including enterprise data and locally stored data; and second, to enable pluggable implementations of data stores into application servers. Data stored in data stores is presented as instances of persistence-capable classes.
JDO defines interfaces and classes to be used by application programmers when using classes whose instances are to be stored in persistent storage (persistence-capable classes), and specifies the contracts between suppliers of persistence-capable classes and the runtime environment (which is part of the JDO implementation).
The JDO architecture defines a standard set of contracts between an application programmer and an JDO vendor. These contracts focus on the view of the Java instances of persistence capable classes.
The JDO PersistenceManagerFactory is the boostrap class for a JDO application. The application gets an instance of the PersistenceManagerFactory by construction or via JDNI lookup.
The application acquires an instance of the JDO PersistenceManager by calling the getPersistenceManager method on an instance of JDO PersistenceManagerFactory.
The JDO PersistenceManager is the primary interface for JDO-aware application components:
A JDO PersistenceManager instance supports any number of JDO instances at a time. It is responsible for managing the identity of its associated JDO instances. A JDO instance is associated with either zero or one JDO PersistenceManager. It will be zero if and only if the JDO instance is transient nontransactional. As soon as the instance is made persistent or transactional, it will be associated with exactly one JDO PersistenceManager.
A JDO PersistenceManager instance supports one transaction at a time, and uses one connection to the underlying data source at a time. The JDO PersistenceManager instance might use multiple transactions serially, and might use multiple connections serially.
Normally, cache management is automatic and transparent. When instances are queried, navigated to, or modified, instantiation of instances and their fields and garbage collection of unreferenced instances occurs without any explicit control. When the transaction in which persistent instances are created, deleted, or modified commits, eviction is automatically done by the transaction completion mechanisms.
Operations on persistent JDO instances at the user's choice might be performed in the context of a transaction. That is, the view of data in the data store is transactionally consistent, according to the standard definition of ACID transactions.
The Transaction interface is used to mark the beginning and end of a application-defined unit of work. The PersistenceManager allows the application to get the instance that manages these transactional boundaries via the currentTransaction method.
The persistent manager instance is a factory for query instances, and queries are executed in the context of the persistent manager instance. The actual query execution might be performed by the JDO PersistenceManager or might be delegated by the JDO PersistenceManager to its data store. The actual query executed thus might be implemented in a very different language from Java, and might be optimized to take advantage of particular query language implementations.
Extents are collections of data store objects managed by the data store, not by explicit user operations on collections. Extent capability is a boolean property of classes that are persistence capable. If an instance of a class that has a managed extent is made persistent via reachability, the instance is put into the extent implicitly.
Copyright © 2005–1970 Apache Software Foundation. All rights reserved.


LAGONDA:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: LAGONDA Car Price: $50,000 Car Engine: 2.2 L twin-turbo V6 Transmission: 5-speed automatic Car Class: Grand tourer (S) Body style: 4-door sedan Layout: FMR layout
VULCAN:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: VULCAN Car Price: $450,000 Car Engine: 4.2 L twin-turbo V12 Transmission: 8-speed automatic Car Class: Grand tourer (S) Body style: 2-door coupé Layout: PMR layout
SCULPTED:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: SCULPTED Car Price: $650,000 Car Engine: 3.2 L twin-turbo V12 Transmission: 6-speed automatic Car Class: Grand tourer (S) Body style: 2-door coupé Layout: FPP layout
ADRENALIN RUSH:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: ADRENALIN RUSH Car Price: $200,000 Car Engine: 6.2 L twin-turbo V12 Transmission: 6-speed automatic Car Class: Grand tourer (S) Body style: 2-door coupé Layout: OOR layout
PURE SPORTS:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: PURE SPORTS Car Price: $340,000 Car Engine: 4.2 L twin-turbo V12 Transmission: 8-speed automatic Car Class: Grand tourer (S) Body style: 2-door coupé Layout: LLR layout
PINNACLE:
We started with the V8 Vantage, a revered car and an iconic part of the Aston Martin model range. But we knew we could produce an even more sporting, even more agile V8 Vantage. V8 Vantage S – a lesson in race-bred dynamism. Car Name: PINNACLE Car Price: $180,000 Car Engine: 4.2 L twin-turbo V12 Transmission: 5-speed automatic Car Class: Grand tourer (S) Body style: 2-door coupé Layout: YUM layout


At least seven dead from heavy rain in France, Italy and Greece
People have been trapped in their cars and roads have been closed by the floods.
by Press AssociationAT LEAST SEVEN people have died as heavy rain hit the Riviera coasts of France and Italy, trapping travellers in their cars, as well as parts of western Greece.
Some roads remained closed today on the French Riviera, and rivers were still rising in Italy after the weekend flooding.
The administration for France’s Var region said four people died, including a couple in their 70s whose car got submerged.
Another died after a French rescue boat sank in the Mediterranean and another was found dead in a car.
In Greece, the bodies of the two men believed to be tourists were recovered late last night and early this morning near the port of Antirio, 155 miles west of Athens after a sailboat they were using was caught in the severe weather.
In northern Italy, a woman was found dead after the Bomida river swept away her car.
Rescuers are also searching for possible victims after a landslide caused the collapse of a stretch of an elevated road near the flooded city of Savona.
Firefighter commander Emanuele Gizzi told SKY TG24 on Monday that “we still don’t have the certainty that there is absolutely no one” missing.
Drivers who witnessed the collapse were able to stop in time. There were no reports of witnesses seeing vehicles fall with the roadway, but the search continued as a precaution.
Meanwhile, the level of the Ticino River in the Lombard city of Pavia was continuing to rise, flooding streets by about 15 cm and forcing some residents to evacuate.
In France, rivers started receding slowly but many families who evacuated still could not return home. Authorities worked to restore electricity and clear roads of fallen trees and mud.
In Greece, hundreds of homes were flooded following an overnight storm that affected areas west of Athens.
Torrential rain and mudslides caused the closure of the road linking the Greek capital to the western port city of Patras.
The worst flooding occurred at the seaside resort of Kineta, where mudslides came from a nearby forest fire-damaged hillside.
Several dozen people trapped in their cars and in flooded homes were rescued by the fire service.


3.1.8. How to execute a request unit test¶
<IP_ADDRESS>. Prerequisites¶
Testing for the RESTful web service runtime platform requires the addition of dependent modules in addition to other runtime testing frameworks. See How to Use the Automated Testing Framework for more information.
<IP_ADDRESS>. How to implement the test class¶
- Inherit the superclasses of test classes provided by the framework.
- Use JUnit4 annotations (annotate your test methods with the @Test annotation)
- Generating a request with Pre-preparation assistance features
- Send request
- Result validation
import nablarch.fw.web.HttpResponse;
import nablarch.fw.web.RestMockHttpRequest;
import nablarch.test.core.http.RestTestSupport;
import org.json.JSONException;
import org.junit.Test;
import org.skyscreamer.jsonassert.JSONAssert;
import org.skyscreamer.jsonassert.JSONCompareMode;
import static com.jayway.jsonpath.matchers.JsonPathMatchers.hasJsonPath;
import static org.hamcrest.Matchers.hasSize;
import static org.junit.Assert.assertThat;
public class SampleTest extends RestTestSupport { //Inherit RestTestSupport
@Test //Annotate
public void testsThatTheProjectListCanBeObtained() throws JSONException {
String message = "Get the project list";
RestMockHttpRequest request = get("/projects"); //Generate Request
HttpResponse response = sendRequest(request); //Send Request
assertStatusCode(message, HttpResponse.Status.OK, response); //Assert result
assertThat(response.getBodyString(), hasJsonPath("$", hasSize(10))); //Validation of the response body using json path-assert
JSONAssert.assertEquals(message, readTextResource("testsThatTheProjectListCanBeObtained.json")
, response.getBodyString(), JSONCompareMode.LENIENT); //Verification of the response body using JSONAssert
}
}
<IP_ADDRESS>.1. Inherit the superclasses of test classes provided by the framework¶
Inherit class nablarch.test.core.http.RestTestSupport
as a superclass of the test class.
SimpleRestTestSupport
class if you do not need to put in test data and assert the database.
In that case you can skip reading How to write test data below.
See How to Use the Automated Test Framework for details on each superclass.
<IP_ADDRESS>.2. Use JUnit4 annotations¶
Since the Testing Framework is based on JUnit4, the method under test is annotated with @Test
.
<IP_ADDRESS>.3. Generating a request with Pre-preparation assistance features¶
Generate the request using the pre-preparation assistance features provided in the superclass.
<IP_ADDRESS>.4. Send request¶
Send the request by calling the send request method provided in the superclass.
<IP_ADDRESS>. How to write test data¶
You can write test data as described in Test data description using Excel. However, the only data that is automatically loaded in the tests for the RESTful web services execution infrastructure is the following.
- Common database initial values across test classes
- Database initial values per test method
Important
For other tests than the RESTful web service runtime platform, an Excel file was required for each test class. For the RESTful web service runtime platform, the absence of an Excel file does not result in an error, it simply skips the data load into the database.
Important
It is possible to include test data other than the above in an Excel file. In that case, you will need to write the process of getting the values into the test class in the way described in To acquire input parameters and expected values for return values, etc. from an Excel file. In order to reduce the amount of test class implementation, the superclass RestTestSupport provides the following methods.
List<Map<String, String>> getListMap(String sheetName, String id)
List<Map<String, String[]>> getListParamMap(String sheetName, String id)
Map<String, String[]> getParamMap(String sheetName, String id)
<IP_ADDRESS>.1. Common database initial values across test classes¶
<IP_ADDRESS>.2. Database initial values per test method¶
Prepare a sheet with name of the test method in an Excel file containing the test data, and write the database initial values with the data type accoring to SETUP_TABLES. The data written here will be put in when the test method is executed by the framework.


AWS Extend Switch Roles is hereinafter referred to as the AESR. The "I" below refers to Toshimitsu Takahashi, who produces AESR.
I believe that power users of AESR are saving a reasonable amount of business time. I am painful that it isn't fair to get donations from a few users. I have received no monetary or equivalent benefit from AWS for the production or distribution of AESR.
Tilfin Ltd. has multiple tiers of GitHub Sponsors depending on the number of users in your team or company. Tilfin Ltd. is a small company run by me. Your organization can join the GitHub Sponsors. You don't need to count precisely the number of AESR installations, but you have to apply the number of users you use regularly. I publish your AESR Golden Key code as a thank-you for your organization. I post your company logo on particular pages if your organization is a company and joins above a certain tier ($75 a month) of GitHub Sponsors.
If you have already donated, please contact me at<EMAIL_ADDRESS>with the date, the way and the amount. I will email you the AESR Golden Key code as a thank-you.
Paste your key code in the below box.


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Welcome to the Algorithmist, a community-created resource dedicated to explaining algorithms and data structures not typically covered in undergraduate computer science courses. Interested in contributing? Please take a look at our guidelines!
The Algorithmist is and always will be open source. It’s currently hosted on Github with a permissive license.


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Best regards, The Team


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Interview with Bonni Theriault:
“I was only 10 when it happened. It was at the height of the Cold War and people had talked about building nuclear shelters where you could go in in case of a nuclear war. I remember around that time the movie War Games came out which was about supercomputers getting into a nuclear war with the Russians and that was on everyone’s mind.
It seemed like they turned this Olympics into a proxy for the Cold War so it seemed like there was a lot more at stake than just winning a hockey game. The US were huge underdogs because, back in those days, the Olympics were only for amateurs, but it was rumored that all the Russians were professionals, so they were all paid to play hockey. Our team was all made up of amateurs, like college players, not professionals, so we were at a big disadvantage, so no one really seemed to think we were going to win.
It seemed like the entire country rallied behind the team, being both underdogs and so much seeming at stake. Everyone I knew was pinned to their television sets watching the Hockey Olympics even though it was something I’d never watched before and have never watched since, but I remember watching every one of those games, on edge, feeling like part of the future of our country was at stake, even though that seems a little ridiculous now in retrospect.”


THE CRIMSON RIVERS RATING: 7.5/10 --> Very good movie
For more reviews and movie trailers, visit http://www.joblo.com/
PLOT: One cop is investigating a murder in which the victim was found hanging off the side of a mountain in a fetal position, with his hands mutilated and eyes removed from their sockets. Another cop is investigating the desecration of a mausoleum in the local cemetery. The detectives do not know each other but their cases are somewhat interrelated. To find out what happens next...see the movie!
CRITIQUE: And just when you thought that the serial killer genre had been beaten to death, the French grab a hold of it and spice it up with a little bit of their own "je ne sais quoi". Tres bien, mes amis! Here's a movie that takes the conventions of a typical serial killer thriller, the cops on the investigation, the gathering of the clues, the close calls, the chase, the gory details and smacks it all in the ass with an original story, a creative way of unfolding the plot line and excellent showings from its two leads. And the film doesn't hide its inspirations either, as the obvious comparisons to SE7EN are pre-empted by various homage shots to the David Fincher classic, such as the scenes in the library, the infamous door kick and an "interesting" confrontation with the killer. But the small French town locale, the snowy mountains instead of the dreary rain and the concept behind the killings, make this one a pretty fresh ride of its own. This film certainly doesn't have the same impact as the latter, nor the ultimate chilling conclusion (then again, who could ever top the ol' "head in the box" thang), but it did manage to string me along for most of its way with an engaging story and two tenacious cops. I will say that the entire story ends up being a little complicated, and I honestly didn't "get" all of its finer details, but the movie still worked for me on many other levels. In fact, it's the kind of movie that I look forward to seeing again, just so that I could decipher it all again. I also had a little bit of an issue with the ending, which was a little far-fetched in my opinion, but not enough to dismiss it as ridiculous. It's somewhat believable under the circumstances by that point, but some may see it as a stretch.
But what starts out as a routine murder investigation (think X-FILES), jam-packed with some of the goriest displays of carnage put to the screen since the aforementioned SE7EN, ultimately turns into thrilling little movie. We get a very cool chase scene between two characters literally running after one another to the point of exhaustion. We get an avalanche that will rock your world, a goofy but fun Mortal Kombat-ish fight sequence and a lot of bumpin' and jumpin' with cars. But the first half of the film is strictly investigative and the two actors, Jean Reno and Vincent Cassel, are the glue that hold the film together through that period. Reno is perfectly cast as the no-nonsense loner cop who goes by the book and Cassel works as the cooler, hipper, funnier end of the law enforcement spectrum. You believe their characters, you believe the world which they inhabit and you're constantly curious about what's gonna happen next. This film is definitely one for fans of the genre, although most will likely have to see it twice to get the exact details of the plotting, and certainly advisable to all others who enjoy a neat mystery with gory specks, set in a beautiful setting. And yup, this film is definitely not for the squeamish!
Where's JoBlo coming from? Seven (10/10) - The Bone Collector (7.5/10) - Kiss the Girls (7/10) - The Professional (8/10) - Ronin (7.5/10)
Read JoBlo's interview with actor Jean Reno here: http://www.joblo.com/interviewreno.htm
Review Date: January 17, 2001 Director: Mathieu Kassovitz Writer: Mathieu Kassovitz Producers: Alain Goldman and Catherine Morisse Actors: Jean Reno as Pierre Niemans Vincent Cassel as Max Kerkerian Nadia Fares as Fanny Fereira Genre: Thriller Year of Release: 2001 ------------------------------------ JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------ (c) 2001 Berge Garabedian
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


RESEARCH
The difference between a class and an id in css is the initial character of a class selector is a full stop and an ID selector is a hash key.
The best time to use an id when the code needs to be more ambiguous, you know exactly what that tag is being used for. If there is more than one element that needs the same or similar styles thats when you would use class selector.


Mind is all that we know. It is composed of images; these are not images of the ordinary sort, which one finds in picture-books and museums and the like.
Rather, they are more like stories, or memories.
The Image is the type of which Carl Jung has described his archetypes.
Plainly put, they are mental images, maps, and narratives.
They are what we experience.
We should pray that they are in fact images of the Real.
Jung's archetypes are his proposed categeories of Image based upon his observations of myths and dreams.
Images are Real. I refer to them as Images because they portray the Real; Though they are Real in themselves, they are distinct from that which they portray and must be recognized as so.
It is so easy to believe that an Image
and that which it portrays are identical!
Do not believe that this is so.
An Image is always discrete from its object of portrait.


--- title: Boundary Curvature sidebar: documentation_sidebar permalink: BoundaryCurvature.html folder: documentation toc: false ---
The curvature of a curve is defined by fitting localy a circle and taking one over its radius. Hence, a straight line will have curvature 0 and a circle of radius \(2\) will have constant curvature \(1/2\) everywhere. Hence, the unit of the curvature computed in MTEX is one over the unit of the EBSD coordinates which is usually 1/µm. Let us demonstrate boundary curvature use some artifical grain shapes
{% highlight matlab %} % import the artificial grain shapes mtexdata testgrains silent % select and smooth a few interesting grains grains = smooth(grains('id',[2 3 9 11 15 16 18 23 31 33 38 40]),10); plotx2east {% endhighlight %}Therefore, we first extract all boundary segments and colorize them according to their curvature.
{% highlight matlab %} % extract boundary segments gB = grains.boundary; % plot some dark background plot(gB,'linewidth',10,'micronbar','off'); % colorize boundaries by curvature hold on plot(gB,gB.curvature,'linewidth',6); hold off % set a specific colormap mtexColorMap('blue2red') setColorRange(0.25*[-1,1]) mtexColorbar {% endhighlight %}Note that all the curvature values are positive. This allways happens if the curvature is computed for multiple grains at one. If we consider single grains and compute the curvature of single grain boundaries the sign of the values indicates whether the grain boundary is convex for concav with respect to the specifc grain.
{% highlight matlab %} for k = 1:length(grains) gB = grains(k).boundary; plot(gB,'linewidth',10,'micronbar','off'); hold on plot(gB,gB.curvature,'linewidth',6); end hold off mtexColorMap('blue2red') setColorRange(0.25*[-1,1]) drawNow(gcm,'figSize',getMTEXpref('figSize')) {% endhighlight %}Finally we illustrate the ussage of the curvature command at a real EBSD map.
{% highlight matlab %} % import data and reconstruct grains mtexdata titanium silent [grains,ebsd.grainId] = calcGrains(ebsd('indexed')); grains = smooth(grains,5); % plot an ipf map plot(ebsd('indexed'),ebsd('indexed').orientations) hold on % plot grain boundaries plot(grains.boundary,'linewidth',4) % colorize the grain boundaries of grain 42 according to curvature plot(grains(42).boundary,grains(42).boundary.curvature(5),'linewidth',6) hold off mtexColorMap('blue2red') setColorRange(0.1*[-1,1]) mtexColorbar {% endhighlight %}


Before Change
version = data.get(CYCLE.VERSION, None)
ping = int(data.get(CYCLE.PING, None))
download = float(data.get(CYCLE.DOWNLOAD, None))
upload = float(data.get(CYCLE.UPLOAD, None))
// Retrieve the worker
worker = worker_manager.get(id=worker_id)
worker.ping = ping
worker.avg_download = download
worker.avg_upload = upload
worker_manager.update(worker) // Update database worker attributes
// The last time this worker was assigned for this model/version.
After Change
// Request fields to worker"s DB fields mapping
fields_map = {
CYCLE.PING: "ping",
CYCLE.DOWNLOAD: "avg_download",
CYCLE.UPLOAD: "avg_upload",
}


{%extends './base.html'%} {%block title%}All workers{%endblock%} {%block content%}
| ID | Worker's Name | Type | Business Unit | National ID | Joined Date | Gender | Mobile Money Number | Address | Registered by | {% for worker in workers%}||
|---|---|---|---|---|---|---|---|---|---|---|---|
| {{worker.id}} | {{worker.name}} | {{worker.type}} | {{worker.business_unit}} | {{worker.national_ID_NIN}} | {{worker.joining_date}} | {{worker.gender}} | {{worker.mobile_money_number}} | {{worker.address}} | {{worker.registered_by_user}} |
Approved by: Chief Financial Officer................................................................ |
Approved by: Chief Executive Officer................................................................ |


TD
This tag is included in the TR Tag.
It contains the Table Cell ie., Table Data .
This is a Container Tag and should be closed.
Attributes
- ABBR :
It specifies Short Replacement Text
associated with the tag contents. .
- ALIGN :
It specifies the Alignment of the text of the Data.
- LEFT :
It will Left Align
the text of the Data.
- RIGHT :
It will Right Align
the text of the Data.
- CENTER :
It will Center Align
the text of the Data.
- JUSTIFY :
It will Justify Align
the text of the Data.
- CHAR :
It will specify that the alignment to be done on
the basis of a Character .
- CHAR :
It specifies the Character on the basis of which the alignment of
the text will be done. The Default is the Dot
'.' .
- CHAROFF :
It specifies the number of Characters from the left
at which the alignment appears .
- COLSPAN :
It specifies that a Table Cell occupies
more than One Column . It is mostly used if some Category
Name applies to more than One Column Data.
- NOWRAP :
It specifies that the text within the Table Cell in the row
does not Wrap. This may cause the table
to expand beyond the horizontal dimensions of the current page.
- ROWSPAN :
It specifies that a Table Cell occupies
more than One Row . It is useful if several rows of
information relate to One Category.
- VALIGN :
It specifies the Vertical Alignment of the text of the Row.
- TOP :
It will align the text with the
Top of the Row.
- MIDDLE :
It will align the text with the
Middle of the Row.
- BOTTOM :
It will align the text with the
Bottom of the Row.
- BASELINE :
It will align the text with the
Baseline of the Row.
- WIDTH :
It specifies the Horizontal
Dimesions of the cell in number of Pixels or as a Percentage of
the Table Width .
Syntax

...Content...

Example

This is a Table Heading

This is a Table Data

Effect
|
This is a Table Heading
|
|
This is a Table Data
|
Home
About


|
|
.NET Framework |
| PREV TYPE NEXT TYPE |
FRAMES NO FRAMES |
| SUMMARY: INNER | FIELD | CONST | PROP | METHOD | OP | EVENT |
DETAIL: FIELD | CONST | PROP | METHOD | OP | EVENT |
NVelocity.App.Events
Interface ReferenceInsertionEventHandler
Reference 'Stream insertion' event handler. Called with object
that will be inserted into stream via value.toString().
*
Please return an Object that will toString() nicely :)
*
| Method Summary |
| object |
referenceInsert(string reference, object value_Renamed) A call-back which is executed during Velocity merge before a
reference value is inserted into the output stream.
*
|
referenceInsert
public object referenceInsert(string reference,
object value_Renamed)
-
A call-back which is executed during Velocity merge before a
reference value is inserted into the output stream.
*
Parameters:
-
reference
- Reference from template about to be inserted.
-
value
- Value about to be inserted (after its
toString()
method is called).
Returns:
- Object on which
toString()
should be
called for output.
|
|
.NET Framework |
| PREV TYPE NEXT TYPE |
FRAMES NO FRAMES |
| SUMMARY: INNER | FIELD | CONST | PROP | METHOD | OP | EVENT |
DETAIL: FIELD | CONST | PROP | METHOD | OP | EVENT |


Bianca Negron
.
Work
About
Contact
Work
About
Contact
Tech Heart
Product Design, Pin for Sale
Phantogram
UX/UI Design
Island Records
UX/UI Design
View All Work
Say Hello
hello@biancanegron.com


Package net.glowstone.block.itemtype
package net.glowstone.block.itemtype
-
ClassDescriptionA type of edible item that can be planted on one specific type of block, such as a carrot or potato.An item that can be used to throw a projectile (egg, snowball, etc.)Base class for specific types of items.


About Aegis.ai
Who we are
At Aegis.ai, we seek to push the boundaries of what can be achieved with AI. Our vision of the future is one where A.I. is used to improve entire societies, creating a just and happy world, free of worries. Here at Aegis, we pride ourselves on delivering only the most beneficial outcomes for our clients. This is achieved via a combination of a brilliant team, state of the art technology, and the Aegis spirit.
To lead the world to a brighter future, by spearheading the global A.I. revolution.
To provide the best A.I consultancy and training services to our clients.
Innovation | Quality | Simplicity
Accountability | Teamwork
See our Past Work
Automated Drones for Track Maintenence
In Singapore, Aegis.ai was contracted by the Singapore Land Transport Authority to deploy a series of automated drones to perform track inspections in the MRT system. Putting our expertise to good use, we developed a state of the art A.I. system to detect, and even report track faults. By deploying a series of charging stations, and tracking beacons, the drones could operate 24/7, operating without the need for constant supervision. Our drones helped improve the efficiency of Singapore's metro system, reducing the occurrences of train breakdowns, ultimately benefiting thousands of commuters.
Smart Tools for Smart Companies
Today in Wall Street, over one hundred firms make use of Aegis's products, powered by the latest A.I. technology and our data analytics expertise. Aegis financial dashboards make use of A.I. to generate valuable insights from surface-level data, and our risks assessment systems minimise the risks of fraud.
King of Retail
From their humble beginnings in 1996, König, once a small retail company in Munich, has grown into one of Germany's most recognizable retail chains. The secret to their success? Aegis's expertise. With the help of our talented consultants, König was able to integrate data analytics to better understand their customers. They were able to make use of our tools to strategically expand their influence and better cater to their consumers. As a result, they were able to massively increase their profit margins and expand their market share.
Lawyer Up!
Sydney based law firm, V & A, stays ahead of the game by making use of Aegis's A.I. systems. With Aegis SmartParse, V & A can quickly scan through legal documents, and extract key insights with greater accuracy than a human. This saves V & A hundreds of hours of manual due diligence, allowing them to focus on what's important. V & A also makes use of a specially designed data analytics platform, which can forecast the results of a court case, allowing it's lawyers to strategize their cases. With these tools, V & A has been able to rise to become one of the top law firms in Australia.
Food for Thought?
Love food? You might just want to try out Issan Restaurant if you're ever in Istanbul. Issan makes full use of Aegis's data analytics services to develop its world-class menu's by analysing how their customers like to eat. With this data, they are able to cater to the specific tastes of their clientele, ensuring that you have an enjoyable experience eating in Issan.


- SACN_BUFFER_MAX - Static variable in class lx4p.LXSACN
-
- SACN_CID_LENGTH - Static variable in class lx4p.LXSACN
-
- SACN_PORT - Static variable in class lx4p.LXSACN
-
- selected - Variable in class lx4p.LXPRadioGroup
-
the index of the selected button or -1 if no selection
- selected - Variable in class lx4p.LXPTextGroup
-
the index of the selected field or -1 if no selection
- selectedButton() - Method in class lx4p.LXPRadioGroup
-
- sendArtAddressCommand(DatagramSocket, InetAddress, int) - Method in class lx4p.LXArtNet
-
sends an ArtAddress packet containing a command
- sendArtPoll(DatagramSocket) - Method in class lx4p.LXArtNet
-
Sends Art Poll
- sendArtPoll() - Method in class lx4p.LXArtNet
-
Sends ArtPoll using dmxsocket
*
- sendArtPollReply(DatagramSocket, InetAddress) - Method in class lx4p.LXArtNet
-
Sends Art Poll Reply using socket
- sendDMX(DatagramSocket, InetAddress) - Method in class lx4p.LXArtNet
-
Sends Art-Net DMX packet to address using socket.
- sendDMX(DatagramSocket) - Method in class lx4p.LXArtNet
-
Sends Art-Net DMX packet to member output node address using socket.
- sendDMX(DatagramSocket, InetAddress) - Method in class lx4p.LXDMXEthernet
-
send a dmx packet containing level data stored in the data buffer
- sendDMX(DatagramSocket) - Method in class lx4p.LXDMXEthernet
-
send a dmx packet containing level data stored in the data buffer to a preset address
- sendDMX() - Method in class lx4p.LXDMXEthernet
-
attempt to send a dmx packet using this.udpsocket
- sendDMX() - Method in class lx4p.LXDMXInterface
-
attempt to send a dmx packet
- sendDMX(Serial) - Method in class lx4p.LXENTTEC
-
send a ENTTEC_LABEL_SEND_DMX request to widget using the serial port
- sendDMX() - Method in class lx4p.LXENTTEC
-
- sendDMX(DatagramSocket, InetAddress) - Method in class lx4p.LXSACN
-
Sends sACN E1.31 DMX packet to address using socket.
- sendDMX(DatagramSocket) - Method in class lx4p.LXSACN
-
Sends sACN E1.31 DMX packet to member variable multicast address using socket.
- sendOSC(LXOSCMessage, String, int) - Method in class lx4p.LXOSC
-
Sends OSC message packet to an address/port
- sendOSC(LXOSCMessage, InetAddress, int) - Method in class lx4p.LXOSC
-
Sends OSC message packet to an address/port
- sendOSCBundle(Vector<LXOSCMessage>, InetAddress, int) - Method in class lx4p.LXOSC
-
- sendSearch() - Method in class lx4p.LXmDNSDiscoverer
-
sends a question record asking for A type, IN class records matching targetName
- sendSearch() - Method in class lx4p.LXUPnPDiscoverer
-
Sends a search request to the SSDP multicast address.
- sendValueWithOSC(LXOSC, InetAddress, int) - Method in class lx4p.LXPVScrollbar
-
Sends the value of the scrollbar using its oscAddress
- setAddress(InetAddress) - Method in class lx4p.LXDNSReplyRecord
-
- setAddressPattern(Vector<String>) - Method in class lx4p.LXOSCMessage
-
Set the address pattern list
- setAddressPattern(String) - Method in class lx4p.LXOSCMessage
-
Set the address pattern from a String
- setBroadcastAddress(InetAddress) - Method in class lx4p.LXArtNet
-
sets broadcast address
- setBroadcastDMXEnabled(boolean) - Method in class lx4p.LXArtNet
-
allows broadcast address to be used to send ArtDMX when a specific address is not specified
- setCIDwithMACAddress(byte[]) - Method in class lx4p.LXSACN
-
sets the CID based on the hardware MAC address
- setDatagramSocket(DatagramSocket) - Method in class lx4p.LXOSC
-
Set the DatagramSocket used for sending/receiving
- setDelegate(LXmDNSDelegate) - Method in class lx4p.LXmDNSDiscoverer
-
- setDelegate(LXUPnPDelegate) - Method in class lx4p.LXUPnPDiscoverer
-
- setFocusField(LXPTextField) - Method in class lx4p.LXPTextGroup
-
sets the field that has key focus
- setFocusIndex(int) - Method in class lx4p.LXPTextGroup
-
sets the station with key focus
-1 sets no field in focus
fieldCount
- setLight(String, String) - Method in class lx4p.LXHueInterface
-
setLight sends PUT to bridge with light parameters in body of request
- setLight(int, String) - Method in class lx4p.LXHueInterface
-
setLight sends PUT to bridge with light parameters in body of request
- setLight(String, String, String, String, String) - Method in class lx4p.LXHueInterface
-
setLight sends PUT to bridge with light parameters in body of request
- setLight(int, boolean, int, int, int) - Method in class lx4p.LXHueInterface
-
setLight sends PUT to bridge with light parameters in body of request
- setLXmDNSDiscoverer(LXmDNSDiscoverer) - Method in interface lx4p.LXmDNSDelegate
-
Called in a LXmDNSDiscoverer object's setDelegate method to pass back a reference.
- setLXUPnPDiscoverer(LXUPnPDiscoverer) - Method in class lx4p.LXHueInterface
-
method required by LXUPnPDelegate interface
delegates are able to call close() which terminates a search thread
- setLXUPnPDiscoverer(LXUPnPDiscoverer) - Method in interface lx4p.LXUPnPDelegate
-
Called when the delegate of LXUPnPDiscoverer is set to pass back a reference.
- setMulticastAddress(InetAddress) - Method in class lx4p.LXSACN
-
sets multicast address
- setNetAddress(byte) - Method in class lx4p.LXArtNet
-
sets net portion of Port-Address
- setNumberOfSlots(int) - Method in class lx4p.LXArtNet
-
dmx has variable number of addresses ~24min to 512max
- setNumberOfSlots(int) - Method in class lx4p.LXDMXInterface
-
dmx has variable number of addresses ~24min to 512max
- setNumberOfSlots(int) - Method in class lx4p.LXENTTEC
-
dmx has variable number of addresses ~24min to 512max
- setNumberOfSlots(int) - Method in class lx4p.LXSACN
-
dmx has variable number of addresses ~24min to 512max
- setOutputAddress(InetAddress) - Method in class lx4p.LXArtNet
-
sets dmx output address address
- setPacketID(int) - Method in class lx4p.LXDNSReplyRecord
-
Reply records may belong to the question, answer, authority, or additional sections of the message.
- setPacketPriority(int) - Method in class lx4p.LXSACN
-
set packet priority
- setPollReplyListener(LXArtNetPollReplyListener) - Method in class lx4p.LXArtNet
-
- setPrintLevel(int) - Method in class lx4p.LXmDNSDiscoverer
-
- setSearchMode(boolean) - Method in class lx4p.LXmDNSDiscoverer
-
- setSelectedIndex(int) - Method in class lx4p.LXPRadioGroup
-
sets the station selected by this button group
- setSlot(int, byte) - Method in class lx4p.LXArtNet
-
set (byte) dmx level data in slot
- setSlot(int, byte) - Method in class lx4p.LXDMXInterface
-
set byte dmx level data in slot
- setSlot(int, int) - Method in class lx4p.LXDMXInterface
-
set int dmx level data in slot
- setSlot(int, byte) - Method in class lx4p.LXENTTEC
-
set byte dmx level data in slot
- setSlot(int, int) - Method in class lx4p.LXENTTEC
-
set int dmx level data in slot
- setSlot(int, byte) - Method in class lx4p.LXSACN
-
set (byte) dmx level data in slot
- setStartCode(int) - Method in class lx4p.LXENTTEC
-
set DMX Start Code, normally zero for regular dmx data
- setStartCode(int) - Method in class lx4p.LXSACN
-
set DMX Start Code, normally zero for regular dmx data
- setStation(LXPRadioButton) - Method in class lx4p.LXPRadioGroup
-
sets the station selected by this button group
- setStringInByteArray(String, byte[], int, boolean) - Static method in class lx4p.LXDMXEthernet
-
- setSubnetAddress(byte) - Method in class lx4p.LXArtNet
-
sets high nibble as subnet
- setSubnetUniverse(byte, byte) - Method in class lx4p.LXArtNet
-
sets high nibble as subnet and low nibble as universe
- setUniverse(int) - Method in class lx4p.LXArtNet
-
set dmx universe
- setUniverse(int) - Method in class lx4p.LXDMXInterface
-
set DMX universe for send/receive
- setUniverse(int) - Method in class lx4p.LXENTTEC
-
not applicable
- setUniverse(int) - Method in class lx4p.LXSACN
-
set dmx universe
- setUniverseAddress(byte) - Method in class lx4p.LXArtNet
-
sets low nibble as universe
- setValue(int, int, boolean) - Method in class lx4p.LXPVScrollbar
-
setValue adjusts the location of the control's sliding indicator
- setValue(int, boolean) - Method in class lx4p.LXPVScrollbar
-
setValue adjusts the location of the control's sliding indicator
- setValue(int) - Method in class lx4p.LXPVScrollbar
-
setValue adjusts the location of the control's sliding indicator
- setValue(float, float, boolean) - Method in class lx4p.LXPVScrollbar
-
setValue adjusts the location of the control's sliding indicator
- setValue(float) - Method in class lx4p.LXPVScrollbar
-
setValue adjusts the location of the control's sliding indicator
- setValueWithOSCMessage(LXOSCMessage) - Method in class lx4p.LXPVScrollbar
-
checks to see if msg address pattern matches the scrollbar's osc address
and if so, sets scrollbar's value based on msg's float argument (0-1.0)
- shortNodeName() - Method in class lx4p.LXArtNetPollReplyInfo
-
- SRV_RECORD_QTYPE - Static variable in class lx4p.LXDNSReplyRecord
-
- startDiscovery(String, String, String, int, LXmDNSDelegate, int) - Static method in class lx4p.LXmDNSDiscoverer
-
- startDiscovery(String, String, String, LXUPnPDelegate) - Static method in class lx4p.LXUPnPDiscoverer
-
- state - Variable in class lx4p.LXPRadioButton
-
- status - Variable in class lx4p.LXHueInterface
-
status of connection
- stringAt(int) - Method in class lx4p.LXOSCMessage
-
Gets the the value of the argument as an String
- subelements - Variable in class lx4p.LXJSONElement
-


[gecode-users] Unary and Cumulative constraints
Guido Tack
tack at gecode.org
Fri Aug 13 09:46:00 CEST 2010
David Rijsman wrote:
> you are right, it should be 'implied reification' and yes it is unnecessary overhead to post e = p + s for each propagator but it would also give you some more control on scheduling or not scheduling the propagator on deltas on e,p or s. Perhaps not much to gain.
When you have hundreds of tasks, propagator scheduling might actually become important. But I think I'll start with the simple version, and then see if there is a problem.
> I read you are working on a temporal propagator (STN?) and on a nice modeling API? Are you going to put this in the mini model part or are you building a complete new scheduling layer? Any pointers on what kind of construct are going to expose and if you are planning any new scheduling constraints?
There would be an STN-like propagator, which is exposed on the same level as the current scheduling constraints (i.e., variables and integers). On top of that, in the minimodel layer, there would be abstractions for tasks, resources and the like. I don't have plans to add any other scheduling constraints at the moment (anything in particular you'd be interested in?).
I haven't decided on the actual interface for the modeling layer yet. It could be something like cumulative functions in ILOG CP Optimizer, or a more classical model with resources etc.
The current state is that I have an STN propagator for mandatory tasks with fixed durations, so I have to put some work into generalizing it for optional tasks and flexible durations. The main thing that is currently missing are specialized branchings that order tasks on resources. I'll build them on top of the STN, because they require information about the partial order of the tasks.
I can't say yet when these things will be available, though.
Cheers,
Guido
--
Guido Tack, http://people.cs.kuleuven.be/~guido.tack/
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Erica Joy Baker
Erica is a Director of Engineering at GitHub and advocate for diversity, equity, and inclusion in tech, as well as expanding access to tech exposure and education. Erica's career in tech began fifteen years ago doing domain administration for the University of Alaska Statewide System, before becoming a Googler in 2006. Erica's role grew and shifted within Google, growing from Support Technician to Site Reliability Engineer. At Slack, she built the Native Client Build and Release infrastructure. She managed the Infrastructure team at Patreon, led the GitHub Integration Engineering Team at Microsoft, and is now leading the Enterprise Tools organization at GitHub.
Erica was previously on the advisory Boards for Atipica and Hack the Hood, the Code.org Diversity Council, the Barbie Global Advisory Board, the Board of Directors for Girl Develop It, and a Tech Mentor for Black Girls Code. Erica is a founding member of Project Include, was the 2015 Level Playing Field Institute Lux Award winner, a nominee for the 2016 Crunchies Include Diversity Award, and was included in WIRED Magazine's 2016 Next List. Erica is currently based in Oakland, California.
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Shell to PNG
Tools exist to screenshot websites, but why aren't there tools to screenshot console contents?
Add sample usage to your README as part of your build system, keep a tutorial's command line examples updated, or easily create a bug report without as much copy/paste.
And yes, the tool is compatible with all shells and many image formats, despite it's misleading name.
Sample Output
This image was created by passing the result of calling Mocha into sh2png.format
.
See test-format-mocha-output.coffee for the test that produced the output above. See the results of testing sh2png for other examples.
Versioning
As per usual for Node applications, sh2png follows Semantic Versioning. See the CHANGELOG for information about each release.
For stability, minor versions are used if either
- internal (private) methods are altered to have a different API
- bugs are fixed that people might rely on
What does this mean? Lock down your minor number for sh2png in package.json
if you:
- Use images outputted sh2png in testing, where us fixing a pixel will break your test
- Extend the sh2png class, and depend on the internal method signatures
- Are building a core utility, which might have users in one of the above categories.
Otherwise, upgrading to the latest minor version or patch should be safe, as the public API should remain the same.
Either way, consider subscribing to an ATOM feed of our releases, so you can be notified about new versions.
Installation
Install via NPM.
Don't have NPM? Grab NodeJS or Node Version Manager.
npm install [--save-dev] sh2png
Console Usage
You can pipe text to sh2png
on the command line. See sh2png --help
for more information.
(Created via sh2png --help | sh2png - > help.png
)
Install the CLI utility globally across your entire computer via npm install -g sh2png
, or access a locally installed
binary via $(npm bin)/sh2png
.
Node.js Usage
Formatting Strings
Got some text from the console? Call sh2png.format
to turn a string of console text into an image. format
returns a Promise.
Don't want to use Promises? Here's some standard NodeJS code.
sh2png = require("sh2png");
exec = require("child_process").exec;
env = process.env;
env.force_color_prompt = "yes";
exec("mocha", {env: env}, function (err, stdout, stderr) {
// handle error
sh2png
.format(stdout)
.then(function (img) {
img.write(__dirname + "mocha_output.png", function(err) {
// handle error
});
})
.catch(function (err) {
// handle error
});
});
Want to use Promises? (Example in CoffeeScript)
sh2png = require "sh2png"
{exec} = require "child-process-promise"
env = process.env
env.force_color_prompt = "yes"
exec "mocha", {env}
.then ({stdout}) ->
sh2png.format stdout
.then (img) ->
img.writeAsync "#{__dirname}/mocha_output.png"
.then ->
# image written
.catch (err) ->
console.log err
See documentation for sh2png.format for more information.
Extending sh2png
If you want to extend sh2png, you're in luck. The source is object oriented, with documentation for each method. Simply override the methods you want to replace, and you're good to go!


--- type: tts title: TTS Tools Installation category: Artificial Intelligence/Text-To-Speech ---
{{ page.date | date_to_string }}
This blog describes various tools to be installed to perform various types of text-to-speech tasks for self-reference.
Merlin is a neural network based speech synthesis system developed at the Centre for Speech Technology Research, University of Edinburgh. It is a toolkit for building Deep Neural Network models for statistical parametric speech synthesis. It must be used in combination with a front-end text processor (e.g., Festival) and a vocoder (e.g., STRAIGHT or WORLD).
The operating system used for installation should be linux and the installation steps are shown below:
When run demo with merlin in our python environment, it states that to use MKL 2018 with Theano you MUST set "MKL_THREADING_LAYER=GNU" in your environment.
solution: "source deactive" + conda install --name myenv mkl=2017, this will downgrade the mkl, mkl-service, numpy and scipy package in the environment. Then, "source activate myenv" + "pip install numpy --upgrade". This is to reinstall numpy.


Sherlock-Holmes-Selected-Stories
Silver Blaze
THE ADVENTURE OF THE SIX NAPOLEONS
THE ADVENTURE OF THE SPECKLED BAND
The Naval Treaty
The Red Headed League


We truly care about our users and our product. We are dedicated to providing you with the best software for your business needs.
Nabla LTD offers ERP system Neologic, that is designed as a system which can be expanded and adjusted in such a way so that the users of every branch and any type of company get a system, capable of fulfilling their business needs and requirements.
Neologic provides an integrated and easy for use functionality for both commercial, service and manufacturing enterprises.
Similar to the traditional systems, Neologic is focused on automation of the fundamental business processes while providing unified, integrated system instead of series of modules, connected with data transfer between them.
It would be great to hear from you! If you got any questions, please do not hesitate to send us a message. We are looking forward to hearing from you! We reply within 24 hours !


Usage
Models
This usage documentation is intentionally kept short and sweet to prevent duplication. Be sure to review the core LdapRecord documentation as it explains all of LdapRecord's features in-depth.
Once you've configured your connections in your config/ldap.php
file,
you're ready to start running queries and operations on your LDAP server.
If you're connecting to an Active Directory or OpenLDAP server, you may utilize the built-in models to get up and running right away.
If you would like to create your own models, you can generate one via the make:ldap-model
command:
php artisan make:ldap-model User
This will create a new LdapRecord model inside of your application in the app/Ldap
folder.
If the
Ldap
folder does not exist, it will be created automatically.
By default, the generated model will not have any $objectClasses
set. LdapRecord requires
this attribute to be set for objects to be created properly in your directory.
If no $objectClasses
are set, queries will not be scoped to the object you are querying
and you will have to set the models $objectClasses
manually before creating new objects.
namespace App\Ldap;
use LdapRecord\Models\Model;
class User extends Model
{
public static $objectClasses = [
'top',
'person',
'organizationalperson',
'user',
];
}
You may want to extend from the
LdapRecord\Models\ActiveDirectory\Entry
class to utilize some helper methods that are limited to the use of Active Directory. This can save you time from having to implement functionality manually.
Searching
To begin querying your model, you can statically call query methods off of the model:
$users = User::where('company', '=', 'Acme')->get();
When using the above example model for searching your LDAP directory, the following filter will be used:
(&(objectclass=top)(objectclass=person)(objectclass=organizationalperson)(objectclass=user)(company=Acme))
Creating / Updating
To create a new object in your directory, call the create
method:
$user = User::create([
'company' => 'Acme',
'givenname' => 'Steve',
'sn' => 'Bauman',
'cn' => 'Steve Bauman',
]);
When creating the above example model, the objectclass
attribute will automatically be
sent with all other attributes you have set for the user creation. This effectively
creates the proper object in your directory.
You may also create a new model instance, set its attributes, and call the save
method:
$user = new User;
$user->cn = 'Steve Bauman';
$user->givenname = 'Steve';
$user->sn = 'Bauman';
$user->company = 'Acme';
$user->save();
Similarly, to update an object, modify a model that was returned from a query and call the save
method:
$user = User::find('cn=Steve Bauman,dc=local,dc=com');
$user->company = 'Acme';
$user->save();
If you need help understanding user creation and management, take a look at the Active Directory user management tutorial.
Scopes
Sometimes you may need to utilize several of the same query filters around your application. Model scopes are a perfect for this, as you can extract these filters into its own class and apply it to a model query.
Be sure to take a peek at the query scopes documentation for a more in-depth look.
To create a new model scope, call the command:
php artisan make:ldap-scope OnlyAccountants
This will create a new model scope in your applications app\Ldap\Scopes
directory.
namespace App\Ldap\Scopes;
use LdapRecord\Models\Model;
use LdapRecord\Models\Scope;
use LdapRecord\Query\Model\Builder;
class OnlyAccountants implements Scope
{
public function apply(Builder $query, Model $model)
{
$query->where('title', '=', 'Accountant');
}
}
Now, you can either apply this scope globally so the query filter is applied on every query of your model, or apply it when you need it. Let's walk through both.
To apply your scope globally, override your models protected static boot
method, and then call the addGlobalScope
method:
namespace App\Ldap;
use LdapRecord\Models\Model;
use App\Ldap\Scopes\OnlyAccountants;
class User extends Model
{
// ...
protected static function boot()
{
parent::boot();
static::addGlobalScope(new OnlyAccountants);
}
}
You must pass a new instance of your scope into the
addGlobalScope
method, not the class name.
Any search queries that are performed on your User
model will now be properly scoped.
If you wish to apply a scope in certain situations, you may use the withGlobalScope
method:
$accountants = User::withGlobalScope('accountants', new OnlyAccountants)->get();
As you may have noticed above, you must provide a named string for the scope you are passing in.
Plain Authentication
Sometimes you simply want to know if a users LDAP credentials are valid. To do this, you must retrieve your LDAP connection from the LdapRecord connection container.
To do so, you must call the getConnection
method on the Container
and pass in the name of
your connection that appears in your config/ldap.php
file:
use LdapRecord\Container;
$connection = Container::getConnection('default');
To retrieve your default
connection that you have set in your ldap.php
configuration
file, call the getDefaultConnection
method:
use LdapRecord\Container;
$connection = Container::getDefaultConnection();
Once you have your connection, call the auth()->attempt
method with your users
Distinguished Name and their password:
use LdapRecord\Container;
$connection = Container::getConnection('default');
if ($connection->auth()->attempt('cn=user,dc=local,dc=com', 'SuperSecret')) {
// Credentials are valid!
}
If you don't want your user to have to enter in their Distinguished Name, locate the user in your directory first who is attempting to authenticate, and then pass in their Distinguished Name:
use LdapRecord\Container;
use LdapRecord\Models\ActiveDirectory\User;
$connection = Container::getConnection('default');
$user = User::findByOrFail('samaccountname', 'sbauman');
if ($connection->auth()->attempt($user->getDn(), 'SuperSecret')) {
// Credentials are valid!
}
If you need to determine why the users authentication is failing (for example, if their password has expired), you can retrieve the last message that was generated from your LDAP server. This message will usually contain a code that you can use to determine the cause of failure:
if ($connection->auth()->attempt($user->getDn(), 'SuperSecret')) {
// Credentials are valid!
} else {
$message = $connection->getLdapConnection()->getDiagnosticMessage();
if (strpos($message, '532') !== false) {
return "Your password has expired.";
}
}


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PALLADIO-CAD
coopertive architect design
Source code
Platform for Architects
Outsource tasks, monitor work, archive files, and make payments.
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