Ppt on edge detection python

Maciej Swat Biocomplexity Institute Indiana University Bloomington, IN 47405 USA IU Team: Susan Hester, Julio Belmonte, Abbas Shirinifard, Ryan Roper,

Disk of Cells Separation between Adjacent Cells in Pixels (here 0) Initial edge length of each square Cell List of Cell Types to Include. If a/ attributes are added during runtime: List of cells neighbors, polarization vector, Python dictionary or Python list etc… To keep parameters up-to-date users need to declare appropriate/’s - Not A Number etc…). Future release of CompuCell3D will provide tools to detect potential PDE instabilities. Additional solvers can be implemented directly in C++ or using BioLogo/


Media Computation Workshop Day 2 Mark Guzdial College of Computing Georgia Institute of Technology

in Georgia West Virginia Institute of Technology: Rollins College University of Western Ontario: Columbia College: SUNY-Albany Python Gainesville College (North Georgia) Univ. of Calif. Santa Cruz UIC (Univ. of Illinois at Chicago) / Pixels Boolean expressions Using && and || to combine boolean expressions Image Manipulations  Replacing a color  Reducing red-eye  Edge detection  Sepia-toned  Posterize  Highlight extremes  Blurring  Background subtraction and Chromakey Remove Red Eye Red eye is when/


THE INTERNET OF THINGS: INTELLIGENT DEVICE PLATFORM AND THE CLOUD Jacky Chen, Field Application Engineer.

major functions defined in OMA DM protocols, including Bootstrap, Provisioning, Configuration Maintenance/Management, Software management, Fault Detection, Query and Reporting, Firmware Update. –Interoperability: Works Systems’ OMA DM IOP server is ready for / ATA, MMC, serial, GPIO, ext3 file system  Secure remote management  Shell, Lua, Python, BusyBox 29© 2014 Wind River. All Rights Reserved. Edge Management System 30  Provides a foundation for building IoT apps –Event-based rules engine –Data/


Media Computation Workshop Day 1 Mark Guzdial College of Computing Georgia Institute of Technology

editor (for entering in our programs or recipes): the program area A command area for entering in commands for Python to execute. Python understands commands We can name data with = We can print values, expressions, anything with print Using JES >>> / Once in its original form  Then with any modification you want to make to it Scale, crop, change colors, grayscale, edge detect, posterize, etc. Then mirror the whole canvas  Creates an attractive layout  Horizontal, vertical, or diagonal (if you want to/


ACM SIGCSE 2005: Multimedia Construction Projects Mark Guzdial and Barb Ericson College of Computing Georgia Institute of Technology

sounds, writing programs to generate HTML, creating movies out of Web-accessed content.  Computing for communications, not calculation Python as the programming language Huge issue Use in commercial contexts authenticates the choice  IL&M, Google, Nextel, etc. Minimal/ = 24; if (x > 128) System.out.println(“x is > 128”); else System.out.println(“x <= 128”); Edge Detection Exercise Write a method edgeDetection that takes an input limit  And turns all pixels black where the absolute value of the difference/


2: Application Layer1 Chapter 2 Application Layer Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition. Jim Kurose, Keith Ross.

content Instant messaging  Chatting between two users is P2P  Presence detection/location centralized: User registers its IP address with central server when / data = conn.recv(20) conn.send(data) conn.close() 2: Application Layer59 Python urllib/urllib2 r Client-side HTTP code similar to Java’s java.net.URLConnection  /  core Internet function, implemented as application-layer protocol complexity at network’s “edge” Compare to phone network –Naming (none supported) –Addressing (complex mechanism within /


1 1 OpenCV Tutorial Omri Perez Adapted from: Gary Bradski Senior Scientist, Willow Garage Consulting Professor: Stanford CS Dept.

, Mac OS (+ Android since open CV 2.2) Languages: – C++, Python, C Online documentation: – Online reference manuals: C++, C and Python.C++CPython Vision is Hard Camera Model, Lens, Problems and Corrections OpenCV OpenCV Tour/– Use of features 2D detector descriptor – Also see matcher_simple.cpp Distrans – Use of the distanceTransform on edge images and voroni tessel. Edge (Canny edge detection) CS32451 Ffilldemo (flood fill methods) Filestorage (I/O of data structs) Fitellipse (find contours, fit ellispe/


The TAU Performance Technology for Complex Parallel Systems Sameer Shende, Allen D. Malony, Robert Bell University of Oregon {sameer, malony,

Epilog traces can be analyzed by EXPERT [FZJ], an automated bottleneck detection tool.  Opari – Tool that instruments OpenMP programs  Vampir –/rewriting  Binary Instrumentation  DyninstAPI – Runtime/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis The TAU Performance SystemNASA GSFC, March 10,/ Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / /


The EU DataGrid Architecture The European DataGrid Project Team

. Metadata Managem. Object to File Mapping Logging & Book- keeping  Implementation: n UI : python (LB client : C++) n RB : C++ n JSS : C++, python n II : LDAP server n LB: MySQL, C++ n Input/Output Sandboxes: GridFTP Job /)Farm B (PBS ) Installation & Node Mgmt Configuration Management Monitoring & Fault Tolerance Resource Management Information Invocation - Node malfunction detected The EDG Architecture Tutorial - n° 52 Automated management of large clusters WP4 subsystems Other Wps Farm A (LSF)Farm B (PBS/


2: Application Layer1 The Network Application Layer Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition. Jim Kurose, Keith Ross.

(not through server) Instant messaging  Chatting between two users is P2P  Presence detection/location centralized: User registers its IP address with central server when it comes online User/: core Internet function, implemented as application-layer protocol  complexity at network’s “edge” 2: Application Layer78 DNS Why not centralize DNS? r single point of failure / POP3, IMAP r 2.5 DNS r 2.6 P2P file sharing r Will cover in Python:  (2.7) Socket programming with TCP  (2.8) Socket programming with UDP/


A Brief Selection of Shovel-Ready Disruptive Research for Post-Silicon Observability Alan J. Hu Integrated Systems Design Lab Department of Computer Science.

31 Precise, unambiguous specification of what you want. Is a C++ program “formal”? Sure! Python? Perl? Great! “I want 100% line and branch coverage, except for provably dead code/each selected path, compute sensitization condition (off-line) Add hardware to detect input transition and path sensitization. Add sticky bit to record coverage of /Post-Silicon Bug Localization in Processors using Bug Localization Graphs,” DAC 2010. BLoG Nodes & Edges 218 $ 4 Cores Current PC = REG + MUX Predicted PC  op 16 /


ACM today Some nice unix commands… practice problems? code.google.com/codejam/ This week: beyond Floyd-Warshall.

# of fields that need to be patrolled so that a round trip is NOT possible (without detection) 1 1 6 2 3 4 5 start (farm) goal (ice cream) Bessie must make a/3 What is a cow-satisfying assignment here? dining number of classes Input # of cows (edges) edge from class 1 to class 2 Output smallest number of projectors needed to cover all classes 2/will be determined as we go… languages already used: the team gets credit, up to 3 people python 56 ruby 12 java 6 c++ 11 perl 2 postscript 2 c# 8 haskell 1 prolog 2 /


OWASP Top Ten Proactive Defenses

-caja/source/browse/trunk/src/com/google/caja/plugin/html-sanitizer.js Python https://pypi.python.org/pypi/bleach PHP http://htmlpurifier.org/ http://www.bioinformatics.org/phplabware/size is 128 bits. (7) Error Handling, Logging and Intrusion Detection App Layer Intrusion Detection Great detection points to start with Input validation failure server side when client / or is skipped or is replayed/repeated? Just thinking about errors and edge cases will close a lot of holes Need to add privacy requirements, /


The TAU Performance Technology for Complex Parallel Systems (Performance Analysis Bring Your Own Code Workshop, Building 1103 Room 236, NASA Stennis Space.

 Binary Instrumentation  DyninstAPI – Runtime/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis The TAU Performance SystemNAVO, Mar. 24-25/. Epilog traces can be analyzed by EXPERT [FZJ], an automated bottleneck detection tool.  Opari – Tool that instruments OpenMP programs  Vampir –/ Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / descendant/


The TAU Performance Technology for Complex Parallel Systems (Performance Analysis Bring Your Own Code Workshop, NRL Washington D.C.) Sameer Shende, Allen.

 Binary Instrumentation  DyninstAPI – Runtime/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis The TAU Performance SystemNRL Washington D.C./. Epilog traces can be analyzed by EXPERT [FZJ], an automated bottleneck detection tool.  Opari – Tool that instruments OpenMP programs  Vampir – / Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / descendant/


Sameer Shende, Allen D. Malony, and Alan Morris {sameer, malony, Department of Computer and Information Science NeuroInformatics.

Epilog traces can be analyzed by EXPERT [UTK, FZJ], an automated bottleneck detection tool. Part of KOJAK (CUBE, EPILOG, Opari).  Opari – Tool / Instrumentation  DyninstAPI – Runtime Instrumentation/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis The TAU Performance SystemTAU Tutorial ORNL / Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / /


1 NumPy (and SciPy) Travis E. Oliphant Enthought, Inc.

() – Convert array into nested lists of values. a.tostring() – raw copy of array memory into a python string. a.astype(dtype) – Return array coerced to given dtype. a.byteswap(False) – Convert byte order/>>> cleaned = signal.wiener(ln) >>> imshow(cleaned) NOISY IMAGEFILTERED IMAGE 61 Image Processing # Edge detection using Sobel filter >>> from scipy.ndimage.filters import sobel >>> imshow(lena) >>> edges = sobel(lena) >>> imshow(edges) NOISY IMAGEFILTERED IMAGE 62 LTI Systems >>> b,a = [1],[1,6,25] >>> /


First Courses Workshop Day 3 Mark Guzdial College of Computing Georgia Institute of Technology

in Georgia West Virginia Institute of Technology: Rollins College University of Western Ontario: Columbia College: SUNY-Albany Python Gainesville College (North Georgia) Univ. of Calif. Santa Cruz UIC (Univ. of Illinois at Chicago) / Pixels Boolean expressions Using && and || to combine boolean expressions Image Manipulations  Replacing a color  Reducing red-eye  Edge detection  Sepia-toned  Posterize  Highlight extremes  Blurring  Background subtraction and Chromakey Remove Red Eye Red eye is when/


Network Workbench (http://nwb.slis.indiana.edu). 1 Katy Börner and the NWB IUB Victor H. Yngve Professor of Information Science Director of the.

graphml)  XGMML (*.xml)  Pajek.NET (*.net) & Pajek.Matrix (*.mat)  NWB (*.nwb)  TreeML (*.xml)  Edge list (*.edge)  CSV (*.csv)  ISI (*.isi)  Scopus (*.scopus)  NSF (*.nsf)  Bibtex (*.bib)  Endnote (*.enw/.slis.indiana.edu). 48 Interpreter: Uses Jython a combination of Java and Python. Try colorize(wealth, white, red) resizeLinear(sitebet weenness, 5, 25)/slis.indiana.edu). 87 Burst Analysis Run ‘Analysis > Textual > Burst Detection’ with parameters: and space as a separator. Sort result by burst/


COMP 690 Data Fusion Matplotlib Notes Albert Esterline Fall 2008.

In the Ipython drop-down menu, select pylab Ipython’s pylab mode detects the matplotlibrc file  Makes the right settings to run matplotlib with / type listed below in upper case If the attribute is a sequence,  the connecting edge is labeled 0...n  the object type is in [..] Some redundant information omitted—/ savefig(ticks_simple) Plotting Dates To plot dates, matplotlib provides converter functions to convert python datetime objects to and from floating point numbers  Represent days in the Gregorian /


Introduction to Scorpion - Demo 1- Label on Syringe Page 1.

Info Set new roi center and correct angle Hint – Gradient is lower on this edge and threshold must be lower on this tool. The edge detection can be improved by smoothing or increasing the number of trace lines. Introduction to /Results Hint – Check systemlog for error messages Introduction to Scorpion - Demo 1- Label on Syringe Page 91 Custom Statistics Using Python Scripts and external data tools any requirement for statistics can be met with Scorpion Create the tools – External Scalar with Make external/


Copyright © 2015 Oracle and/or its affiliates. All rights reserved. Introduction to Oracle Semantic Technologies V1.0 Shintaro Nagaoka Presales Oracle.

creation (meaningful data loaded into Big Data Spatial and Graph property graph) – Result: 187 million edges Community identification & influence computation (property graph analytics/graph mutation) – Graph sparsification & Connected component /Java: Tinkerpop: Blueprints, Gremlin, Rexster – Search: Apache Lucene and SolrCloud – Scripting languages: Groovy, Python… 36 Detecting Components and Communities Ranking/Walking Evaluating Communities ∑ ∑ Path-Finding Copyright © 2015 Oracle and/or its /


TAU Performance System Sameer Shende, Allen D. Malony, Alan Morris University of Oregon {sameer, malony, ACTS Workshop, LBNL, Aug.

library instrumentation -shmem[inc/lib]= Specify PSHMEM library instrumentation -python[inc/lib]= Specify Python instrumentation -tag= Specify a unique configuration name -epilog= / Configuration Option  Generates profiles that show the calling order (edges & nodes in callgraph)  A=>B=>C shows the time/$(CC) $(CFLAGS) -c $< -o $@ TAU Performance SystemACTS Workshop 200643 Memory Leak Detection TAU Performance SystemACTS Workshop 200644 TAU_SETUP: A GUI for Installing TAU TAU Performance SystemACTS Workshop /


Tuning and Analysis Utilities Sameer Shende, Allen D. Malony, Robert Bell University of Oregon.

of DynInst Package  -mpi[inc/lib]= Specify MPI library instrumentation  -python[inc/lib]= Specify Python instrumentation  -epilog= Specify location of EPILOG TAU Measurement System Configuration  /library. Epilog traces can be analyzed by EXPERT [FZJ], an automated bottleneck detection tool.  Opari – Tool that instruments OpenMP programs  Vampir – Commercial / Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / /


Electrical and Computer Engineering Dept. VR PROGRAMMING.

Vizard Toolkit and PeoplePak (WorldViz) General Purpose avatar extension yesOpenGL-based Python scripting language GHOST (SensAble Technologies) Haptics for Phantom yesC++ PeopleShop /e.g. sphere, cone, cylinder, …) Custom geometry created by specifying the vertices, edges, normals, texture coordinates using specially defined classes Imported geometry loader.load(“Hand.wrl") /PeopleShop sensors Sensors are user-defined volumes in space that detect when a character enters them (PeopleShop User’s Manual) /


Mark Guzdial College of Computing Georgia Institute of Technology

out of Web-accessed content. Computing for communications, not calculation Multi-media CS 1 in Python Using Python Huge issue Use in commercial contexts authenticates the choice IL&M, Google, Nextel, etc. /, scaling Syllabus - Continued Conditionally Modifying Pixels Boolean expressions Using && and || Replacing a color, reducing red-eye, edge detection, sepia-toned, posterize, highlight extremes, blurring, background subtractions, chromakey Syllabus - Continued Drawing on Pictures Using existing Java/


Social Computing and Big Data Analytics 社群運算與大數據分析 1 1042SCBDA12 MIS MBA (M2226) (8628) Wed, 8,9, (15:10-17:00) (B309) Social Network Analysis ( 社會網絡分析.

) 10 2016/04/20 期中報告 (Midterm Project Report) 11 2016/04/27 Deep Learning with Theano and Keras in Python (Python Theano 和 Keras 深度學習 ) 12 2016/05/04 Deep Learning with Google TensorFlow (Google TensorFlow 深度學習 ) 13 2016/05/Social Network Analysis 7 Social Computing Social Network Analysis Link mining Community Detection Social Recommendation 8 Business Insights with Social Analytics 9 Analyzing the Social/E) 18 Vertex (Node) 19 Vertices (Nodes) 20 Edge 21 Edges 22 Arc 23 Arcs 24 Undirected Graph 25 Source: /


The rest of bioinformatics Prof. William Stafford Noble Department of Genome Sciences Department of Computer Science and Engineering University of Washington.

everything. The Python is more challenging but it is good to get confused sometimes. Python was more interesting! The comprehension of Python is improved at/Sequence analysis tasks Protein structure prediction Remote homology detection Gene finding Protein structure prediction Given: amino acid sequence Return: /Kohn. Mol Cell Biol. 1999 Metabolic networks Nodes are enzymes or metabolites. Edges represent interactions. This network represents the Arabidopsis TCA cycle. Gene expression Clustering /


Juniper Metafabric Westcon 5 daagse Washid Lootfun

support, VxLAN, OVSDB, OpenFlow IT Automation via Open Interfaces; Vmware, Puppet, Checf, Python JUNOS Scripting & SDK Standard Optics Open Save time,improve performance Elastic (Scale-out) Fabrics/ Storage Virtualized Servers ESX ESXi HyperV KVM ZEN Firewalls Load Balancers NAT Intrusion Detection VPN Concentrator L4 – 7 Appliances NSX ESXi NSX KVM SC HyperV Contrail /to sending a summary route of 10.10.10.0/24 the datacenter edge routers also send host routes which represent the location of local servers./


Distribution authorized to the Department of Defense and U.S. DoD contractors only. Other requests shall be referred to: Contracting Officer, PET II, Code.

 DyninstAPI – Runtime Instrumentation/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis ERDC 10/4/200414 Distribution authorized/ Epilog traces can be analyzed by EXPERT [UTK, FZJ], an automated bottleneck detection tool. Part of KOJAK (CUBE, EPILOG, Opari)  Opari – Tool that/ Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / descendant/


TAU Parallel Performance System (ACTS Workshop LBL) Sameer Shende, Allen D. Malony University of Oregon {sameer,

Epilog traces can be analyzed by EXPERT [UTK, FZJ], an automated bottleneck detection tool. Part of KOJAK (CUBE, EPILOG, Opari).  Opari – Tool / Instrumentation  DyninstAPI – Runtime Instrumentation/Rewriting binary  Java – Runtime instrumentation  Python – Runtime instrumentation  Measurement  Performance Analysis The TAU Performance SystemACTS Workshop LBL,/ Measure time (metric) along an edge (path) of callgraph  Incident edge gives parent / child view  Edge sequence (path) gives parent / /


1 FRANC3D Workshop/Training Drs. Paul “Wash” Wawrzynek, Bruce Carter, Tony Ingraffea, and Omar Ibrahim Corning Glass May 7, 2012.

by: –Interactively using the Graphical User Interface (GUI) –Using FRANC3D extensions to the Python programming language 29 Crack Insertion Wizard (Elliptical Flaw) crack size/shape parameters Define the /FRANC3D Known Bugs If the none of the crack mouth or template edges intersect any of the edges of any of the original boundary patches the crack will not be/the models. 124 Some FRANC3D Known Bugs The code is currently able to detect that the template intersects a corner and in many cases does a reasonably /


CUC Oct 2013 CXC CIAO Jonathan McDowell. I will report on CIAO (user software) and the standard processing pipeline software, which come into being thanks.

, Infastructure (Crates/Chips/DM), Releases Frank Primini - HRC, Catalog, Photometry, Source Detection Kenny Glotfelty - Helpdesk, scripts, docs, legacy expertise Nick Lee Helpdesk, scripts, docs/of warning flags for hard cases, e.g. chip edge srcflux capabilities CUC Oct 2013 CXC Two scripts: search_csc/advantages: - model language + statistics + optimization - already integrated into Python environment, - no other Python fitting/modeling package with similar capabilities Feedback from users - via helpdesk, /


Network Workbench (http://nwb.slis.indiana.edu). 1 Katy Börner and the NWB IUB Victor H. Yngve Associate Professor of Information Science Director.

graphml)  XGMML (*.xml)  Pajek.NET (*.net) & Pajek.Matrix (*.mat)  NWB (*.nwb)  TreeML (*.xml)  Edge list (*.edge)  CSV (*.csv)  ISI (*.isi)  Scopus (*.scopus)  NSF (*.nsf)  Bibtex (*.bib)  Endnote (*.enw) /slis.indiana.edu). 43 Interpreter: Uses Jython a combination of Java and Python. Try colorize(wealth, white, red) resizeLinear(sitebet weenness, 5, 25/slis.indiana.edu). 72 Burst Analysis Run ‘Analysis > Textual > Burst Detection’ with parameters: and space as a separator. Sort result by burst /


Scratch Creative Computing. INTRODUCTION TO SCRATCH Section 1.

set of commands) Script - list of commands that are executed by a certain program or scripting engine. Scratch uses scripts Python is a scripting language Sprite Sprite - an image and its location on the stage (screen). Three sprites on the stage/ See PP. 65 – 66 For More Information Blocks for Games (Collision Detection) Collision DetectionDetecting when one sprite overlaps another sprite. If this sprite is touching specified sprite, edge, or mouse-pointer. If this sprite is touching a specific color If /


TAU Performance System® OpenSHMEM Tools Tutorial Sameer Shende ParaTools, Inc and University of Oregon. 1pm, Tuesday, March 4 th,

Database Files IL DUCTAPE TAU instrumentor Automatic source instrumentation...... ROSE [LLNL] EDG v4.4 parsers Automatic Source Instrumentation using PDT 55 tau_instrumentor Parsed program / locality for one important data Automatically generated by PE2 python script 102 increasing phase execution time decreasing flops rate / Debugging 121 Location of segmentation violation 122 http://www.paratools.com/uab13 Memory Leak Detection % export TAU_MAKEFILE=$TAU/Makefile.tau-icpc-papi-mpi-pdt % export PATH=$TAU/..//


Introduction1-1 Net-centric Computing Computer Networking: A Top Down Approach Featuring the Internet, 3 rd edition. Jim Kurose, Keith Ross Addison-Wesley,

*Chapters in the textbook Introduction1-6 Schedule of Topics  Introductory concepts and Python programming: ~2 weeks  Application layer: ~3 weeks  Transport layer: ~/Detect and correct:  Data corruption, loss, duplication, out-of-order delivery  Find optimal path from source to dest. Introduction1-11 Chapter 1: Introduction Our goal:  get “feel” and terminology  more depth, detail later in course  approach:  use Internet as example Overview:  what’s the Internet  what’s a protocol  network edge/


Project Splinescan Open Source 3D Scanning for Everyone Andrew Lewis, 2006 ** Released Under Creative Commons **

Rotary Target Motion – Single or Multiple Laser Emitters – Client / Server Interfacing Useful OSS Tools ● Coding: – PythonPython Imaging Language ● Numerical Python ● PySerial and PyParallel ● Blender API – Perl – Bluefish HTML & PHP – QT/PyQT – C Useful/ or Threshold – Inner Edge, Outer Edge, Mean ● Many Different Implementations – Hybrid Methods ● Combine Multiple Approaches ● Compromise - Speed Vs. Efficiency ● Can be Tailored to Specific Applications ● Google “Line Detection Algorithms” How Does it/


OpenCV 3.0 Overview. OpenCV Timeline OpenCV 2.x is 3.5-year old already, time to bump the version number! VersionReleasedReasonLifetime pre 1.02000 (first.

existing cv::Mat, GpuMat, OclMat. Preliminary OpenVX support? OpenVX (Khronos HAL) New Functionality Computational Photography: –HDR –denoising –edge-aware filtering Video processing: –state-of-art optical flow (3.0 gold) –TLD (aka Predator) tracker (3.0/–video stabilization state-of-art features: KAZE & AKAZE Better pedestrian&car detector (3.0 gold) Text detection New/improved bindings: –Python 3 support –experimental Matlab support –library-wide (every module is covered; not just basic) New Functionality /


Snakes. What is a snake? It is more than just being legless – Amphisbaenians are legless. – Caecilians are legless – Legless lizards Legg loss seems to.

gabonica Puff adder Bitis arietans. Australian elapids: Acanthophis Tree pythons Python regius, P. anchietae, and blood or short tailed python P. curtus. Morphology and Function Cross section – Burrowing /Rectilinear Crawling – Used by some heavy bodied snakes like boids and vipers. – Use edges of ventral scales to anchor portions of body, then pull themselves forward. – Body/ evaluate air temperature. – Heat generated by prey is detected by the outer surface of the membrane. Comparison of the 2 enables the/


Virtual Robot Experimentation Platform

Proximity Sensors & Graphs More than simple ray-type detection Configurable detection volume Fast minimum distance calculation within volume Much more/lightweight, several languages V-REP ... . . ... . ... . .. . . .. .. ... . ... Matlab C/C++ Python Urbi Java Very easy to use, almost like a regular API Remote API Advantages 2/2 Very easy to use, almost like a /or edge edit mode Modify meshes (adjust vertices, add/remove triangles) Semi-automatic primitive shape extraction function Triangle, vertex or edge /


I256 Applied Natural Language Processing Fall 2009 Lecture 9 Review Barbara Rosario.

in the legal context) Measures of similarity –WordNet-based –Vector-based Detecting hyponymy and other relations with patterns 61 Lexical acquisition Lexical acquisition problems –/ conditional probabilities) How do I choose the model structure (i.e. the edges)? 103 How to choose the model structure? v1v1 v2v2 v3v3 sksk v1v1 v2v2/ of Stat NLP –Corpora & annotation –probability theory, GM –Sparsity problem Familiarity with Python and NLTK 132 Next classes How do we now tackle ‘higher level’ NLP problems?/


Application Layer Computer Networks Lin Gu Computer Networking: A Top Down Approach, 6 th edition. Jim Kurose and Keith Ross, Pearson. Part.

between two users is P2P  centralized service: client presence detection/location user registers its IP address with central server when /core Internet function, implemented as application- layer protocol  complexity at network’s “edge” Application Layer 2-65 DNS: services, structure why not centralize DNS? /modifiedMessage, serverAddress = clientSocket.recvfrom(2048) print modifiedMessage clientSocket.close() Python UDPClient include Python’s socket library create UDP socket for server get user keyboard /


Semantic Parsing 1 Semantic Parsing Al Akhwayn Summer School 2015 Horacio Rodríguez TALP Research Center UPC, Barcelona, Spain.

implemented in this software package. These include a simple edge counting approach and a random method for measuring relatedness. /link structure. Using python wikitools –https://code.google.com/p/python-wikitools/https://code.google.com/p/python-wikitools/ –Python package to interact / Parsing 64 Lexical Semantics Tasks WSD NEC Semantic tagging –Wikification Terminology detection MWE detection & classification Entity Linking (grounding) GeoDisambiguation, GeoLocalisation, GeoReferencing, Placing Semantic/


CS433/533 Computer Networks Lecture 12 CDN 2/16/2012 1.

: TCP L7: HTTP SSL etc. Goals server load balancing failure detection access control filtering priorities/QoS request locality transparent caching smart switch virtual/moment) o Secure pages and whole pages o Dynamic page assembly at the edge (ESI) o Distributed applications 51 Akamai Scalability Bottleneck 52 See Akamai 2009 investor/: Web Servers  Components  Netscaler load balancer; Apache; Python App Servers; Databases  Python  Web code (CPU) is not bottleneck  JIT to C to speedup /


Application Layer 2-1 Chapter 2 Application Layer Computer Networking: A Top Down Approach 6 th edition Jim Kurose, Keith Ross Addison-Wesley March 2012.

between two users is P2P  centralized service: client presence detection/location user registers its IP address with central server when /core Internet function, implemented as application- layer protocol  complexity at network’s “edge” Application Layer 2-66 DNS: services, structure why not centralize DNS? /modifiedMessage, serverAddress = clientSocket.recvfrom(2048) print modifiedMessage clientSocket.close() Python UDPClient include Python’s socket library create UDP socket for server get user keyboard /


Class 3: Introduction to CINET Tools for network analysis and visualization Network Science: Introduction to CINET 2015 Prof. Boleslaw K. Szymanski Konstantin.

and graph mining library Written in C++ but Python interface is also available Scales to massive networks with hundreds of millions of nodes, and billions of edges Efficiently manipulates large graphs, calculates structural properties, / Feature based organization: determining node size and color by degree, betweenness, etc. Coloring communities: applying community detection algorithm to visualize different communities in different colors. Vector graphics output (SVG). Network Science: Introduction to CINET /


1 李御璽 教授 銘傳大學資訊工程學系 Big Data Analytics on Social Media ( 社群媒體大數據分析 ) Min-Yuh Day 戴敏育 Assistant Professor 專任助理教授 Dept. of Information Management, Tamkang.

-specific task Integrated analysis model Natural Language Processing Information Extraction Anomaly Detection Discovery of relationships among heterogeneous data Large-scale visualization Parallel distrusted processing/Platform 44 Source: http://hortonworks.com/hdp/http://hortonworks.com/hdp/ Python for Big Data Analytics 45 (The column on the left is the/B D D E E C C Edges (Links): 5 Total Possible Edges: 10 Density: 5/10 = 0.5 Density 58 Nodes (n): 10 Edges (Links): 13 Total Possible Edges: (n * (n-1)) //


Lecture 10 The catalog of sources –Resolved sources –Selection biases –Luminosity (and mass) functions –Volume- vs flux-limited surveys. Cross-matching.

- 2009 Python and tut oddments The module cPickle offers a useful way to save to disk file python-generated data of arbitrary format. –See http://www.python.org/doc/2.5/lib/module- cPickle.htmlhttp://www.python.org/doc/2/5003F - Computational Astronomy - 2009 Examples Optical surveys of galaxies. Easiest detected are: –The brightest (highest apparent magnitude). –Edge-on spirals. HI (ie, 21 cm radio) surveys of galaxies. Easiest detected are: –Those with most HI mass (excludes ellipticals). –Those which/


1 NSTX-U Disruption Prediction, Avoidance, and Mitigation WG meeting (S.A. Sabbagh and R. Raman) Oct 29 th, 2015 S.A. Sabbagh and R. Raman Department of.

panel report brief outline (59 pages)  Overview and summarized recommendations  Disruption detection: measured & modeled triggers (how to cue action) Plasma response and instabilities Confinement/ of role of rotation and profile in MHD stability trigger sawooth, edge localized mode, or other MHD mode triggers NTM onset saturated instability n/the zeroth-order physics-based criteria that should be evaluated in the DECAF Python modules? (Starting the process of DECAF improvement: For group discussion / /


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