This site has been archived as part of King's Digital Lab (KDL) archiving and sustainability process, following background analysis and consultation with research leads wherever possible.
Project content and data has been stored as a fully backed-up Virtual Machine and can be made available on request (depending on access controls agreed with the Principal Investigator) for a period of at least 2 years from the decommissioning date indicated below.
If you have an interest in this project and would like to support a future phase please contact us by filling in this form.
At its inception, KDL inherited just under 100 digital research projects and websites. Aware of the intellectual and cultural value of many of these projects, with the support of the Faculty of Arts and Humanities at King’s College London, KDL took on its responsibility to the community to steward them in a responsible manner. When the options of setting up a Service Level Agreement for further hosting and maintenance with KDL and/or undertaking migration to IT Services at King’s or other institutions were deemed infeasible or inappropriate, the archiving process was initiated.
We would like to thank research leads, the Faculty of Arts and Humanities at King’s College London, and partner institutions, for their support in this process.
For further information on KDL archiving and sustainability process see:
The Complete Works of James Shirley website is currently not available. The project investigators are actively pursuing options for making the content available again in the near future. In the meantime, if you have any questions please email<EMAIL_ADDRESS>We apologise for any inconvenience this may cause.
2013 - 2014
Eugene Giddens
February 2021
https://shirley.dighum.kcl.ac.uk/
The The Complete Works of James Shirley is the online complement to the print version of The Complete Works of James Shirley, a multi-volume scholarly edition begun with Arts and Humanities Research Council funding in 2007 and representing a collaboration between the Universities of Durham, Anglia Ruskin, and Warwick along with the Oxford University Press. James Shirley (1596-1666) was a significant dramatic writer of the late English Renaissance and the project is the first time of editing his complete oeuvre - a corpus of around 50 works, including plays, poems, and prose.
The online edition complements the modernised-spelling print edition by offering authoritative original-spelling texts of Shirley's works. Development of the website was begun by staff at the Department of Digital Humanities at King's College London and completed King's Digital Lab. The application was built using the Kiln framework.


--- layout: default title: MCPA San Antonio - About ---
We are a team of Soldiers, Sailors, Airmen, Marines, Veterans and others interested in the development of the American military cyber profession. Our members are interdisciplinary, as such a diverse set of perspectives is needed to develop cyberspace as an entire domain. Also included in our ranks are other government employees, contractors, academics, industry leaders, foreign allies, and private citizens.
We are the San Antonio chapter of the Military Cyber Professionals Association. We are a registered 501(c)3 non-profit organization dedicated to the development of the Cyber profession in the greater San Antonio area.


RT @nmeans: TIL why you rarely see blackcurrant (one of my absolute favorite flavors) in the US: http://www.atlasobscura.com/articles/why-the-purple-skittle-tastes-different-outside-america
6/28/2017, 9:41:18 PM
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link--- layout: tweet ---
RT @nmeans: TIL why you rarely see blackcurrant (one of my absolute favorite flavors) in the US: http://www.atlasobscura.com/articles/why-the-purple-skittle-tastes-different-outside-america
6/28/2017, 9:41:18 PM
Favs: 0
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link


We store the values of the brownian motion and the time intervals are now different. This means that the values are not given equitemporial. Now we want to know, what are the values for every second.
This is when we use the resampler stream aggregator. It creates new values that are interpolated by using the values from the store. There are three kinds of interpolation: 'previous', 'linear' and 'next'. In this example, we are using the 'linear' interpolation. We also set the interval to 1000, which means that we want to get the interpolated values for every second (1000 miliseconds).
The graph below represents brownian motion and linear resampler values gained by the resampler stream aggregator.


§304A-704 Rules governing Hawaii educator loan program revolving fund. The university may adopt rules to implement the Hawaii educator loan program. The rules shall be adopted pursuant to chapter 91 but shall be exempt from the public notice and public hearing requirements. [L 2006, c 75, pt of §2; am L 2015, c 106, §5]


Hizkiel Alemayehu
<EMAIL_ADDRESS>16, 2020, Hamburg
→ → →
This presentation describes the workflow used to transcribe Manuscripts from the Ethiopian and Eritrean Tradition. The focus is here on obtaining a TEI file with an initial text transcription which profits from a wealth of information which is machine generated but can still be used in a context of community based contributions.
The Text Encoding Initiative (TEI) is a consortium which collectively develops and maintains a standard for the representation of texts in digital form.
This stage is critical to get sufficient acquaintance with a text to be able to carry out the editorial and philological work.
Require specific knowledge and expertise and are often a long and time consuming task
Efficiency
To mange vast amount of data
A few studies have been conducted about ethiopic handwriting recognition systems
The HMM is based on augmenting the Markov chain. A Markov chain is a model that tells us something about the probabilities of sequences of random variables, states, each of which can take on values from some set.
Models the human brain
Deep neural networks are artificial neural networks with 2 or more hidden layers
OpenCV is an open source computer vision and machine learning software library. It is primarily used to detect an object.
Specific to OCR technologies, OpenCV helps to perform image segmentation. The output of the image segmentation is an input for the model training stage
It is a known fact that in relation to image quality most historical documents suffer some common problems which makes the recognition process difficult. Therefore, in order to eliminate undesired noise in an image and prepare the image for the next stage, preprocessing is crucial. For this stage, one can use OpenCV for cleaning a given image. Thus the application of Opencv for HTR technologies is limited to preprocessing stage .
Cloud Vision API’s text recognition feature is able to detect a wide variety of languages and can detect multiple languages within a single image. It includes training data for Amharic language, which however it is not complete.
Google technology, has been recently revised for Syriac by Ephrem A. Ishac, in two blog posts (1,2) with encouraging results.
Our tests for Ethiopic have not yield similarly results, especially when it comes to large quantities of images. Although these solutions are good for small tasks they do not seem to be scalable enough or to be able to become part of a stable workflow.
Data collection
→Data Cleaning
→
Able to add more than 50k words into for building the ground truth to training a model
→
Alignment
→Run the model
→Export to TEI
→TEI to BM TEI stracture
→PTEI to BM Github repository


--- layout: post title: ! 'Rails 1.1.2: Tiny fix for gems dependencies' categories: - releases author: David published: true date: 2006-04-09 22:12:11.000000000 +01:00 ---
The new gem version dependency system from Rails 1.1.1 needed a few tweaks to work properly and to stop throwing meaningless warnings. This tiny release makes up for that. To install:
gem install rails
rake rails:update:configs
(to get the latest config/boot.rb)This release also signals our new commitment to do more tiny releases from the stable branch, which only gets bug fixes. So it will not be uncommon to see bi-weekly tiny releases in the 1.1.x series while we continue to add features to the forthcoming 1.2.0.


BcForms is a toolkit for concretely describing the molecular structure (atoms and bonds) of macromolecular complexes, including non-canonical monomeric forms, circular topologies, and crosslinks. BcForms was developed to help describe the semantic meaning of whole-cell computational models .
BcForms includes a grammar for describing forms of macromolecular complexes composed of DNA, RNA, protein, and small molecular subunits and crosslinks between the subunits. The DNA, RNA, and protein subunits can be described using BpForms and the small molecule subunits can be described using SMILES. BcForms also includes four software tools for verifying descriptions of complexes and calculating physical properties of complexes such as their molecular structure, formula, molecular weight, and charge: this website, a JSON REST API , a command line interface , and a Python API . BcForms is available open-source under the MIT license.
BcForms has the following features:
The BcForms represents complexes as a sets of subunits, including their stoichiometries, and a set of interchain/intersubunit crosslinks. Furthermore, BcForms can be combined with BpForms and SMILES descriptions of subunits to calculate properties of complexes.
BcForms descriptions of complexes consist of two parts:
The BcForms grammar is defined in Lark syntax , which is based on EBNF syntax .
complex: sub_a + sub_b sub_a: bpforms.ProteinForm(AC) sub_b: bpforms.ProteinForm(MK)
Structure: C[C@H]([NH3+])C(=O)N[C@H](C(=O)O)CS.CSCC[C@H]([NH3+])C(=O)N[C@@H](CCCC[NH3+])C(=O)O
Formula: C17H38N5O6S2
Molecular weight: 472.64
Charge: 3
complex: 2 * sub_c | x-link: [ l-bond-atom: sub_c(1)-1S11 | l-displaced-atom: sub_c(1)-1H11 | r-bond-atom: sub_c(2)-1S11 | r-displaced-atom: sub_c(2)-1H11 ] sub_c: bpforms.ProteinForm(CA)
Structure: C(=O)([C@@H]([NH3+])CSSC[C@@H](C(=O)N[C@@H](C)C(=O)O)[NH3+])N[C@@H](C)C(=O)O
Formula: C12H24N4O6S2
Molecular weight: 384.466
Charge: 2
The x-link attribute can be used to indicate a bond between atoms from different subunits. For example, this attribute can describe interstrand disulfide bonds between cysteines in proteins and crosslinks in DNA.
Each crosslink can be described by enclosing attributes which indicate the atoms involved in the bond within square brackets and delimiting the attributes with pipes (e.g., "| x-link: [l-bond-atom: sub_a(1)-1C1 | r-bond-atom: sub_b(1)-3C2 | ...]").
BcForms allows two ways of defining inter-subunit crosslinks: inline definition and definition using our ontology of crosslinks.
Each crosslink can be described using the following attributes:
Each crosslink can have one or more left and right bond atoms, and zero or more left and right displaced atoms. Each crosslink must have the same number of left and right bond atoms.
| x-link: [ l-bond-atom: sub_c(1)-1S11 | l-displaced-atom: sub_c(1)-1H11 | r-bond-atom: sub_c(2)-1S11 | r-displaced-atom: sub_c(2)-1H11 ]
| x-link: [ l-bond-atom: b(1)-4C2 | r-bond-atom: a(2)-1N1-1 | l-displaced-atom: b(1)-4O1 | l-displaced-atom: b(1)-4H1 | r-displaced-atom: a(2)-1H1+1 | r-displaced-atom: a(2)-1H1 ]
Each crosslink can alternatively be described by using our ontology with three attributes. The list of crosslinks defined in the ontology is available at bpforms.org/crosslink .
Each crosslink must have one type, one left monomeric form, and one right monomeric form.
Complexes can have zero, one, or more crosslinks.
| x-link: [ type: disulfide | l: sub_c(1)-1 | r: sub_c(2)-1 ]
| x-link: [ type: glycyl_lysine_isopeptide | l: b(1)-4 | r: a(2)-1 ]
Each subunit, residue, and atom represented by BcForms has a unique coordinate. The coordinates of repeated subunits range from one to the stoichiometry of the subunit. The coordinate of each residue is a two-tuple of the coordinate of its parent subunit and its position within the residue sequence of its parent subunit. The coordinate of each atom is a three-tuple of the coordinate of its parent subunit, the position of its parent residue within the residue sequence of its parent polymer, and its position within the canonical SMILES ordering of its parent residue (which can be displayed by Open Babel).
The example below illustrates the atom coordinates for the modified amino acid N5-methyl-L-arginine.
[id: "AA0305" | name: "N5-methyl-L-arginine" | structure: "OC(=O)[C@H](CCCN(C(=[NH2])N)C) [NH3+]" | l-bond-atom: N16-1 | l-displaced-atom: H16+1 | l-displaced-atom: H16 | r-bond-atom: C2 | r-displaced-atom: O1 | r-displaced-atom: H1 ]
To help quality control information about macromolecules, the BcForms user interfaces include methods for verifying the syntactic and semantic correctness of complexes:
BcForms includes four software interfaces for verifying descriptions of complexes and calculating properties such as their molecular structures, formulae, molecular weights, and charges.
BcForms can be used in conjunction with commonly used standards in systems biology. BcForms is also easy to embed into documents such as Excel workbooks and comma-separated tables.
BcForms can be used to concretely describe the meaning of CellML components which represent complexes. BcForms can be used with the RDF element of component objects.
... <component cmeta:id="complex" name="complex"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#complex"> <bcforms:BcForm xmlns:bcforms="https://bcforms.org"> 3 * subunit </bcforms:BcForm> </rdf:Description> </rdf:RDF> </component> <component cmeta:id="subunit" name="subunit"> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#subunit"> <bpforms:ProteinForm xmlns:bpforms="https://bpforms.org"> LID{AA0037}MAN{AA0037}FVGTR </bpforms:ProteinForm> </rdf:Description> </rdf:RDF> </component> ...
BcForms can be used to concretely describe the meaning of Systems Biology Markup Language (SBML) species elements which represent complexes. BcForms can be used with the annotation element of species elements.
... <species name="complex"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#complex"> <bcforms:BcForm xmlns:bcforms="https://bcforms.org"> 2 * subunit </bcforms:BcForm> </rdf:Description> </rdf:RDF> </annotation> </species> <species name="subunit"> <annotation> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <rdf:Description rdf:about="#complex-a"> <bpforms:ProteinForm xmlns:bpforms="https://bpforms.org"> A{U}CR </bpforms:ProteinForm> </rdf:Description> </rdf:RDF> </annotation> </species> ...
Below are several resources which can be helpful for determining the subunit and crosslink composition of complexes.


Simple things must be simple, hard things must be possible, and you must be able to use part of it without understanding all of it.
Luga JS encompass a set of JavaScript libraries, designed to build form and data centric applications, specialized tools that do few things and try to do them well. Luga JS is not intended and will never be a framework, we believe in keeping our tools simple, atomic yet flexible.
Luga JS is designed to work in IE11+ and most recent versions of Chrome, FireFox, Edge and Safari
The following production ready libraries are available:
Until version 0.9.7 used to require jQuery in order to stay compatible with older browsers. At that point we realized it was time for a change, we gave up supporting IE9 and IE10 and managed to get rid of the dependency. Unfortunately this came at a cost, since the signature of various API changed in a way that is not fully backward compatible
At the moment the documentation is using Bootstrap and jQuery, but this is only for convenience, the codebase does not require any of these two
The libraries are available in multiple combinations, concatenated and/or minified. You can pick the ones that better fit your needs.
|
luga.common.js
luga.common.min.js |
The base library, with basic, shared API |
|
luga.data.js
luga.data.min.js |
Luga Data as standalone, requires luga.common.js in order to work |
|
luga.validator.js
luga.validator.min.js |
Luga Validator as standalone, requires luga.common.js in order to work |
|
luga.js
luga.min.js |
All the files above concatenated inside a single bundle |
You can install Luga JS using bower by running: bower install lugajs
Luga JS contains a comprehensive set of unit tests, developed with Jasmine
The unit tests play a fundamental role in ensuring the code is robust and, at the very same time, provide plenty of useful information about the API
Code coverage is usually around 100%. You can check the coverage report by yourself
Luga JS is distributed under the Apache 2.0 license
The Apache License requires preservation of the copyright notice and disclaimer. The Apache License allows the user of the software the freedom to use the software for any purpose, to distribute it, to modify it, and to distribute modified versions of the software


Popup positioning
You can position the popup before, after, above and below the element.
Show arrow
Horizontal
Align arrow to center
After and Below
Before and Above
After and Above
Before and Below
The popup appears after and below
The popup appears before and above
The popup appears after and above
The popup appears before and below


To filter the list by name, begin typing the box below. Click on the list item to see more information about it.


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Submission Guidelines
Submitting a Pull Request (PR)
Before you submit your PR, consider the following guidelines:
Ensure your changes is made in a new git branch:
git checkout -b feature/my_feature_branch master
Create your feature or patch, including appropriate test cases.
Run the full test suite and ensure that all tests pass.
Commit your changes using a descriptive commit message.
git commit -a
Note: the optional commit
-a
command line option will automatically “add” and “rm” edited files.Push your branch to GitHub:
git push origin feature/my_feature_branch
In GitHub web UI, create PR to
diskusi:master
.Ask a core team member to review your changes, if changes are suggested then:
- Make the required updates.
Re-run the test suites to ensure tests are still passing.
Commit your changes to your branch (e.g.
feature/my_feature_branch
).Pull latest
master
to check if there has been any further updates, merge (and/or) rebase if necessary (see note below).Push the changes to your GitHub repository (this will update your PR).
If the PR gets too outdated, you will need to rebase and force push to update the PR:
git rebase master -i
git push origin feature/my_feature_branch -f
WARNING. Squashing or reverting commits and forced push thereafter may remove GitHub comments on code that were previously made by you and others in your commits.
After Your PR is Merged
After your PR is merged, delete your branch from GitHub (and locally), and pull the changes from the main (upstream) repository:
Delete the remote branch on GitHub either through the GitHub web UI or your local shell as follows:
git push origin --delete feature/my_feature_branch
Check out the master branch:
git checkout master -f
Delete the local branch:
git branch -D feature/my_feature_branch
Update your master with the latest upstream version:
git pull --ff --prune upstream master


Module: RSpec::Expectations
- Defined in:
- lib/rspec/expectations.rb,
lib/rspec/expectations/syntax.rb,
lib/rspec/expectations/version.rb,
lib/rspec/expectations/handler.rb,
lib/rspec/expectations/fail_with.rb,
lib/rspec/expectations/configuration.rb,
lib/rspec/expectations/expectation_target.rb,
lib/rspec/expectations/minitest_integration.rb
Overview
RSpec::Expectations provides a simple, readable API to express
the expected outcomes in a code example. To express an expected
outcome, wrap an object or block in expect
, call to
or to_not
(aliased as not_to
) and pass it a matcher object:
expect(order.total).to eq(Money.new(5.55, :USD))
expect(list).to include(user)
expect().not_to match(/foo/)
expect { do_something }.to raise_error
The last form (the block form) is needed to match against ruby constructs that are not objects, but can only be observed when executing a block of code. This includes raising errors, throwing symbols, yielding, and changing values.
When expect(...).to
is invoked with a matcher, it turns around
and calls matcher.matches?(<object wrapped by expect>)
. For example,
in the expression:
expect(order.total).to eq(Money.new(5.55, :USD))
...eq(Money.new(5.55, :USD))
returns a matcher object, and it results
in the equivalent of eq.matches?(order.total)
. If matches?
returns
true
, the expectation is met and execution continues. If false
, then
the spec fails with the message returned by eq.failure_message
.
Given the expression:
expect(order.entries).not_to include(entry)
...the not_to
method (also available as to_not
) invokes the equivalent of
include.matches?(order.entries)
, but it interprets false
as success, and
true
as a failure, using the message generated by
include.failure_message_when_negated
.
rspec-expectations ships with a standard set of useful matchers, and writing your own matchers is quite simple.
See RSpec::Matchers for more information about the built-in matchers that ship with rspec-expectations, and how to write your own custom matchers.
Defined Under Namespace
Modules: Syntax Classes: Configuration, ExpectationNotMetError, ExpectationTarget
Constant Summary
Class Method Summary (collapse)
-
+ (RSpec::Expectations::Configuration) configuration
The configuration object.
-
+ (Object) fail_with(message, expected = nil, actual = nil)
Raises an RSpec::Expectations::ExpectationNotMetError with message.
Class Method Details
+ (RSpec::Expectations::Configuration) configuration
The configuration object.
140 141 142 |
# File 'lib/rspec/expectations/configuration.rb', line 140 def self.configuration @configuration ||= Configuration.new end |
+ (Object) fail_with(message, expected = nil, actual = nil)
Raises an RSpec::Expectations::ExpectationNotMetError with message.
Adds a diff to the failure message when expected
and actual
are
both present.
21 22 23 24 25 26 27 28 29 30 31 |
# File 'lib/rspec/expectations/fail_with.rb', line 21 def fail_with(, expected=nil, actual=nil) unless raise ArgumentError, "Failure message is nil. Does your matcher define the " \ "appropriate failure_message[_when_negated] method to return a string?" end diff = differ.diff(actual, expected) = "#{}\nDiff:#{diff}" unless diff.empty? raise RSpec::Expectations::ExpectationNotMetError, end |


-
Hi ,
The Describers Diary
Welcomes You !
Decrypting the rationale behind the stories!
-
Do you know how old the universe is?
13.8 billion years
-
This implies that there are many mysteries, theories and realities to be discussed and yet to be discovered.
Pretty interesting , right?
-
We are here to become the
voice of all such
unknown, unexplained and interesting
realities and mysteries.
-
Join us on this journey
as we unravel such
brain teasing concepts.


Asta4D Sample Project - Index
Simple usages
Use Snippet for rendering dynamic page.
Inject values of the variable.(/{name}/{age})
name=foo, age=25
name=bar, age=20
Manipulate attribute values.
Template extension
Embed other template.
Localize Messages(i18n support).
Error handling
404 exception by request handler
exception occurs at the request handler
exception occurs at the snippet
Complicated usages
Form flow
Single input step
Input, Confirm and Complete
Cascade and array field
Multiple input steps
Splitted input steps
Experience some type of Renderers.
Pass variables from outer Snippet to inner Snippet.
Use ContextData annotation.


- Vibrant.js: Extract prominent colors from an image.
- Good idea for hobby project?
- [Hiring] Shopify Website Customization
- One year with the Truly Ergonomic keyboard
- On being overwhelmed with our fast pace industry
- httpbin(1): HTTP Client Testing Service
- If you are a beginner learning programming today, I would advise against using Udacity update 2 --- > SNAFU
- [C++] Requesting a (very simple) code critique
- How to integrate git into a website (Xpost from /r/webdev)
- The Responsibility We Have as Software Engineers
- Getting a job in the USA with J1 Graduate Visa
- OTM Fantasy: Week 8
- If God was a web developer, and he used a JS framework, what would it be like?
- [For Hire] Back End Developer, PHP/Ruby - Columbus, OH
- [Hiring] Native English Writers
- The secret of how to get a QA job in 3 - 4 months.
- My first Meteor app, what are your thoughts? Any feedback or idea is appreciated.
- Favorite Meteor Tutorials
- Installing a Meteor Application
- Single page vs routing?
- LF: package to allow employee login via pin
- We are working on a new open source Meteor Booking system. What do you think?
- Meteor Raises $20M To Build The One JavaScript Stack To Rule Them All
- The Meteor Cookbook
- What would your Meteor syllabus look like?
- Looking for someone to collaborate with 2 small Telescope projects
- Basic templating question about header/footer
- Trouble with forms.
- How many packages is too many packages?
- What is the best way to handle localized strings in MeteorJS ?
- Problem running meteor on android
- Category view on AtmosphereJS?
- Learning Meteor on Windows
- Cannot do client side sorting on $near Mongo query
- To remove .meteor/.id or not remove .meteor/.id (to create an app template), that is the question
- Is meteor right for my use case ?
- How to create a package?
- I'm a newbie and I have no idea how to actually deploy my applications
- Using Scoped ReactiveVars to Control Tab Visibility (Meteor.js)
- First Meteor App, Inspired wholly by DiscoverMeteor
- meteoric:ionic-sass package - scss compiler error
- [My first program] Review my code
- [Unity] What is the most effective way to make an infinite runner (without using the character controller code)?
- Is there a way to write Swift code on Ubuntu or windows?
- Improving programming skills through Unity/Unreal
- [PIC] ASCII to Binary
- Visual basic button help
- I'm looking for some good summer reading for beginners. I just finished my first year of college as a computer science major. Any recommendations?
- [Automata]How to construct a DFA for the language accepting strings with at least three a's and at least two b's?
- Learning project, Stuck with an request handler.
- [C++] Reading a file with different Paths (User)
- What style/philosophy should exactly be used when developing with nodejs? (in the same way that, say, java favours object oriented programming)
- Programming languages you need to know to develop a game?
- [HELP - Java] if statement returning opposite of what I've written
- Java: Set Message on error
- Unique IT Thesis Topic
- [HELP][JAVA] Making a maze game, don't know how to implement KeyListener.
- Simple (IMO) web-based front end to a simple db for use at work - I'm really lost with what the best path forward would be, please help me plot my course. (longwinded)
- Put your programming skills to the test in BaconGameJam 09, coming up on 12th June
- I want to portforward 22 on two separate devices so I can SSH into them from outside network. How?
- I am a graduating high school senior interested in majoring in programming- what steps can I take to make sure I have the best chance of getting good grades and ultimately a good job?
- I created a study guide for people who want to get started learning how to program in Swift.
- Why does r/programming seem so excited about Rust? What is going to make this language so different/special from other popular languages? What niche is it trying to reach?
- What's your least favorite part of programming?
- Visually learning Algorithms
- My first year and a half as a professional software developer: what I expected and what I got
- [HIRING] An illustrator to give my logo a facelift
- [Hiring] (Online) Web Developer for Esports Organization
- [For Hire] Freelance iOS Developer To Make Your App
- [For Hire] Questionably cheap writer whoring out services
- [for hire] physical therapist new grad NY/NJ
- [Hiring] (Remote) Wordpress Developer
- [HIRING] PHP + HTML Developer, 24-hour job /w TinyPass API
- [For Hire] Professional British Voice Over & Voice Actor - Use my voice to promote your company, sell your product, advise your employees or help your customers!
- [HIRING] Motion graphics editor for a quick preroll
- [For Hire] (Online) I'm back again! Web developer/designer and SEO expert at your price!
- [For Hire] Professional freelance writer at $1.5/100 words
- [For Hire] Freelance Web Designer
- [Hiring] (Online) Back-end Web Developer for Web Application Security
- [For Hire] Multidisciplinary Designer (Brand/Web/Marketing)
- [Hiring] (Most major USA cities) Internal Audit, IT Consulting, Risk and Compliance, Model Risk
- [For Hire] Cartoon and Cute Character Design & Illustration
- [Hiring] (Online) Vietnamese to English translator/transcriber of a 1 hour video
- [For Hire] Freelance Android developer. Experience with REST client apps
- [For Hire] LOGO DESIGN / ILLUSTRATION / WEB DESIGN
- [For Hire] Print Designer looking for small gigs
- [For Hire] Logo Designs for Your Needs
- [For Hire] Native Android Developer, 25$/h
- [Hiring] (Online) Part-Time Web Application Security for Implementation of Vulnerabilities
- [For Hire] Digital Artist!
- [Hiring] Someone with Photoshop experience who can remove the background and slightly retouch multiple photos
- [Weekly] Internship advice thread - May 26
- Why was a master's degree in CS (or SWE) the right decision for you (or not)?
- Offered a job through Internship, Pay seems very very low, should I take it?
- How do I avoid becoming a "code monkey", especially after school is done?
- Advice for the fundamentals book
- Online MS in Software Engineering Programs
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Hi! My name is Parag Mahale. I am a student of Computer Science Engineering.
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WITNESS LIST Jurisprudence Committee February 12, 2001 - 1:30P SB 233 ON: Baldwin, Jr., Howard G. Deputy Atty. General for Child Support (Office of Attorney General), Austin, TX SB 236 ON: Baldwin, Jr., Howard G. Deputy Attny. General for Child Support (Office of Attorney General), Austin, TX SB 479 Registering, but not testifying: For: Ramsey, Lesley Graphic Designer (Self), Austin, TX On: Reeves, Beverly E. Manager, Crime Information Bureau (Texas Department of Public Safety), Austin, TX SB 486 FOR: Barnhill, John R. Asst. Harris County Attorney (Harris County), Houston, TX Hetzel, Harvey L. Juvenile Probation officer (Harris County), Houston, TX SB 495 FOR: Ott, Judge Patricia Justice of the Peace (Justices of the Peace and Constables Association, Inc.), Round Rock, TX Purgahn, Diane (Self), Port Arthur, TX Registering, but not testifying: For: Williams, John H. Retired J.P. (Justice of the Peace and Constables Association), Robstown, TX On: Miller, Kenneth W. Training Specialist (Texas Justice Court Training Center), Austin, TX Providing written testimony: On: Broline, Patricia F. Attorney - General Counsel (Texas Justice Court Training Center), Austin, TX


pbmtogem(1) pbmtogem(1) NAME pbmtogem - convert a portable bitmap into a GEM .img file SYNOPSIS pbmtogem [pbmfile] DESCRIPTION Reads a portable bitmap as input. Produces a compressed GEM .img file as output. BUGS pbmtogem does not support compression of repeated lines SEE ALSO gemtopbm(1), pbm(5) AUTHOR Copyright (C) 1988 by David Beckemeyer (bdt!david) and Jef Poskanzer. 11 July 1992 pbmtogem(1)


[Data range] 8000 to 99999999 (metric output) 4000 to 99999999 (inch output)
[Description] These parameters are used to set the interval between pitch error compensation points for each axis.
Setting the pitch error compensation interval
B–62550EN/014. DESCRIPTION OF PARAMETERS
84
Up to 128 pitch error compensation points can be set. Among them, specify the pitch error compensation point that corresponds to the reference position, as the pitch error compensation origin. In the following example, the pitch error compensation number corresponding to the reference position is set to 33:
Reference position
Compensation point34 35 36<PHONE_NUMBER>
1000 Pitch error compensation origin for the X–axis
to
3000 Pitch error compensation origin for the 3rd axis
[Data range] 0 to 128
[Description] These parameters are used to set the number of the pitch error compensation origin for each axis.
Set the pitch error compensation for each compensation interval. The pitch error compensation can be set within a range of 0 to �7. The actual compensation values are obtained by multiplying the set values by a magnification specified with a parameter.
Example:
� Machine stroke : –400 mm to +800 mm
� Pitch error compensation origin : 40
� Pitch error compensation interval : 50 mm
� Farthest compensation number in the positive direction = (compensation origin number) + (positive stroke/compensation interval) = 40 + 800/50= 56
� Farthest compensation number in the negative direction = (compensation origin number) – (negative stroke/compensation interval) + 1 = 40 – 400/50 + 1 = 33
Machine coordinate (mm)
Compensation point number
–400 –350 –100 –50 0 50 100 750 800
33 39 40 41 42 56
Setting the pitch error compensation origin
Setting the pitch error compensation
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
85
The compensation corresponding to each compensation point number is output at the midpoint of the corresponding interval. The following is an example:
Number 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
Compensation +2 +1 +1 –2 0 –1 0 –1 +2 +1 0 –1 –1 –2 0 +1 +2
Pitch error compensation (absolute value)
–400 –300 –200 –100 0 100 200 300 400 (mm) –1
–2
–3
–4
+4
+3
+2
+1
4039383736353433<PHONE_NUMBER>434241 49
Compensation point number
Machine coordinate
�001 Pitch error compensation value of No.0 of �–th axis
to
�128 Pitch error compensation value of No.127 of �–th axis
[Data unit] No.0035#7 ACMR=0 Output unit � Command multiplication (CMR) No.0035#7 ACMR=1 Detection unit
[Data range] 0 to �7 (Detection unit � Compensation magnification)
[Description] Set the pitch error compensation value of No.0 to 127 of �–th axis
#7 0011
#6 #5 #4 #3 #2 #1 PML2
#0 PML1
POWER OFF
PML1, PML2 Set the magnification of pitch error compensation as below table.
#1 PML2
#0 PML1 Magnification
0 0 �1
0 1 �2
1 0 �4
1 1 �8
B–62550EN/014. DESCRIPTION OF PARAMETERS
86
For a rotation axis, pitch error compensation of rotation axis type is performed, such that any compensation points in the negative direction are ignored. The result obtained by adding one to the result of dividing the angle corresponding to a single revolution (360000) by the pitch error compensation interval is set as the number of compensation points for a rotation axis.
Machine coordinate
Compensation point number
0° 360°
0 1 2 n–1 n
(+)(–)
Reference position
n: Result obtained by dividing the angle corresponding to a single revolution (360000) by the pitch error compensation interval
Set 0 as the pitch error compensation origin. Set an identical value for the pitch error compensation for both compensation points 0 and n.
Example: When the pitch error compensation interval is set to 6°.
Parameter Set value
Pitch error compensation origin 0
Pitch error compensation interval 6000
In this case, set compensation values as follows:
(� indicates the axis number.)
Parameter (pitch error
compensation value)
Set value of parameter
�001 Compensation value between –6° and 0° (Compensation value between 354° and 360°)
�002 Compensation value between 0° and 6°
�003 Compensation value between 6° and 12°
� �
�060 Compensation value between 348° and 354°
�061 Compensation value between 354° and 360° (Compensation value between –6° and 0°)
NOTE 1 Set a compensation interval such that 360000 can be
divided exactly by that value, without a remainder. Otherwise, compensation will not be performed normally.
2 The sum of the compensation values for a single revolution must be 0.
Setting pitch error compensation for a rotation axis
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
87
1000 Zero point of pitch error compensation of X axis
2000 Zero point of pitch error compensation of Z axis
3000 Zero point of pitch error compensation of third axis
[Data unit] Number
[Data range] 0 to 127
[Description] Set number of zero point of pitch error compensation for each axis.
1001 Pitch error compensation value of No.0 of X axis
to
1128 Pitch error compensation value of No.127 of X axis
2001 Pitch error compensation value of No.0 of Z axis
to
2128 Pitch error compensation value of No.127 of Z axis
3001 Pitch error compensation value of No.0 of 3rd axis
to
3128 Pitch error compensation value of No.127 of 3rd axis
[Data unit] No.0035#7 ACMR=0 Output unit � Command multiplication (CMR) No.0035#7 ACMR=1 Detection unit
[Data range] 0 to �7
[Description] Set the pitch error compensation value of No.0 to 127 for each axis.
B–62550EN/014. DESCRIPTION OF PARAMETERS
88
Parameters related to serial interface spindle
The following parameters are not described in detail. The standard settings listed in the tables need be modified for some machine systems.
Sub–spindle parameters when the spindle switching function is provided
First spindle
Second spindle
Description Standard setting
6140 6141 6142 6143 6144 6145 6146 6147 6148 6149
6320 6321 6322 6323 6324 6325 6326 6327 6328 6329
Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter
00000000 00000001 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
6150 6151 6152 6153 6154 6155 6156 6157 6158 6159
6330 6331 6332 6333 6334 6335 6336 6337 6338 6339
Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter
00000000 Model–dependent Model–dependent Model–dependent
00000000 00000000 00000000 00000000 00000000 00000000
6160 6161 6162 6163 6164 6165 6166 6167 6168 6169
6340 6341 6342 6343 6344 6345 6346 6347 6348 6349
Maximum motor speed Speed arrival detection level Speed detection level Speed zero detection level Torque limit value Load detection level 1 Output limit pattern Output limit value Position coder method orientation stop position
Model–dependent 150 30 75 50 83 0
100 0 0
6170 6171 6172 6173 6174 6175 6176 6177 6178 6179
6350 6351 6352 6353 6354 6355 6356 6357 6358 6359
Normal velocity loop proportional gain (HIGH) Normal velocity loop proportional gain (LOW) Velocity loop proportional gain during orientation (HIGH) Velocity loop proportional gain during orientation (LOW) Velocity loop proportional gain in servo mode (HIGH) Velocity loop proportional gain in servo mode (LOW) Normal velocity loop integral gain Velocity loop integral gain during orientation Velocity loop integral gain in servo mode
10 10 10 10 10 10 10 10 10 0
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
89
Sub–spindle parameters when the spindle switching function is provided
First spindle
Standard settingDescriptionSecond spindle
6180 6181 6182 6183 6184 6185 6186 6187 6188 6189
6360 6361 6362 6363 6364 6365 6366 6367 6368 6369
Gear ratio (HIGH) Gear ratio (LOW) Position gain during orientation (HIGH) Position gain during orientation (LOW) Position gain change ratio when orientation is completed Position gain in servo mode (HIGH) Position gain in servo mode (LOW) Grid shift amount in servo mode
100 100
1000 1000 100
1000 1000
0 0 0
6190 6191 6192 6193 6194 6195 6196 6197 6198 6199
6370 6371 6372 6373 6374 6375 6376 6377 6378 6379
Orientation completion signal detection level Motor velocity limit value during orientation Orientation stop position shift amount MS signal constant MS signal gain adjustment Regenerative power limit Delay time prior motor power shut–off Acceleration/deceleration time setting
10 33 0 – 0
Model–dependent 20 10 0 0
6200 6201 6202 6203 6204 6205 6206 6207 6208 6209
6380 6381 6382 6383 6384 6385 6386 6387 6388 6389
Motor voltage during normal rotation Motor voltage during orientation Motor voltage in servo mode Position gain change ratio when returning to the origin in the servo mode Feed forward factor Velocity loop feed forward factor
Model–dependent Model–dependent Model–dependent
100 0 0 0 0 0 0
6210 6211 6212 6213 6214 6215 6216 6217 6218 6219
6390 6391 6392 6393 6394 6395 6396 6397 6398 6399
0 0 0 0 0 0 0 0 0 0
6220 6221 6222 6223 6224 6225 6226 6227 6228 6229
6400 6401 6402 6403 6404 6405 6406 6407 6408 6409
Base velocity of the motor output specification Limit value for the motor output specification Base speed Magnetic flux weakening start velocity Current loop proportional gain during normal operation Current loop integral gain during normal operation Zero point of current loop integral gain Current loop proportional gain velocity factor Current conversion constant Secondary current factor for exciting current
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
B–62550EN/014. DESCRIPTION OF PARAMETERS
90
Sub–spindle parameters when the spindle switching function is provided
First spindle
Standard settingDescriptionSecond spindle
6230 6231 6232 6233 6234 6235 6236 6237 6238 6239
6410 6411 6412 6413 6414 6415 6416 6417 6418 6419
Current expectation constant Slip constant High–speed rotation slip compensation constant Compensation constant of voltage applied to motor in the dead zone Electromotive force compensation constant Electromotive force phase compensation constant Electromotive force compensation velocity factor Time constant for changing the torque Load meter displayed value for maximum output Maximum output zero point
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
5 Model–dependent Model–dependent
6240 6241
6242 6243 6244 6245 6246 6247
6420 6421
6422 6423 6424 6425 6426 6427
Secondary current factor during rigid tapping Constant for compensating for the phase of the electromotive force at deceleration Time constant of the speed detection filter
Time constant of voltage filter for electromotive force compensation
Model–dependent Model–dependent
0 0 0 0 0 0
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
91
Sub–spindle parameters for low–speed operation when the spindle switching function is provided and the output switching function is provided for the sub–spindle
First spindle
Second spindle
Description Standard setting
6248 6249
6428 6429
Motor voltage during normal rotation Motor voltage in the servo mode
Model–dependent Model–dependent
6250 6251 6252 6253 6254 6255 6256 6257 6258 6259
6430 6431 6432 6433 6434 6435 6436 6437 6438 6439
Base speed of the motor output specifications Limit value for the motor output specifications Base speed Magnetic flux weakening start velocity Current loop proportional gain during normal operation Current loop integral gain during normal operation Zero point of the current loop integral gain Velocity factor of the current loop proportional gain Current conversion constant Secondary current factor for activating current
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
6260 6261 6262 6263 6264 6265 6266 6267 6268 6269
6440 6441 6442 6443 6444 6445 6446 6447 6448 6449
Current expectation constant Slip constant High–speed rotation slip compensation constant Compensation constant for voltage applied to motor in the dead zone Electromotive force compensation constant Electromotive force phase compensation constant Velocity factor of the electromotive force compensation Time constant for changing the torque Maximum output zero point Secondary current factor during rigid tapping
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
6270 6271 6272 6273 6274 6275 6276 6277 6278 6279
6450 6451 6452 6453 6454 6455 6456 6457 6458 6459
Voltage compensation factor during deceleration Regenerative power limit Time constant of voltage filter for electromotive force compensation Motor model code
Model–dependent Model–dependent
0 Model–dependent
0 0 0 0 0 0
6280 6281 6282 6283 6284 6285 6286 6287 6288 6289
6460 6461 6462 6463 6464 6465 6466 6467 6468 6469
0 0 0 0 0 0 0 0 0 0
6290 6291 6292 6293 6294 6295 6296 6297 6298 6299
6470 6471 6472 6473 6474 6475 6476 6477 6478 6479
0 0 0 0 0 0 0 0 0 0
B–62550EN/014. DESCRIPTION OF PARAMETERS
92
Sub–spindle parameters for low–speed operation when the spindle switching function is provided and the output switching function is provided for the sub–spindle
First spindle
Standard settingDescriptionSecond spindle
6300 6301 6302 6303 6304 6305 6306 6307 6308 6309
6480 6481 6482 6483 6484 6485 6486 6487 6488 6489
0 0 0 0 0 0 0 0 0 0
6310 6311 6312 6313 6314 6315
6490 6491 6492 6493 6494 6495
Overload current alarm detection level (for low speed characteristic) Overload current alarm detection time constant Overload current alarm detection level (for high speed characteristic) Compensation for current detection offset
0 0
Model–dependent Model–dependent Model–dependent
0
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
93
Parameters for standard motors (parameters for high–speed operation when the output switching function is provided)
First spindle
Second spindle
Description Standard setting
6500 6501 6502 6503 6504 6505 6506 6507 6508 6509
6640 6641 6642 6643 6644 6645 6646 6647 6648 6649
Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter
00000000 00000001 00000000 00000000 00000000 00000000 00000000 00000000 00000000 00000000
6510 6511 6512 6513 6514 6515 6516 6517 6518 6519
6650 6651 6652 6653 6654 6655 6656 6657 6658 6659
Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter Bit parameter
00000000 Model–dependent Model–dependent Model–dependent
00000000 00000000 00000000 00000000 00000000 00000000
6520 6521 6522 6523 6524 6525 6526 6527 6528 6529
6660 6661 6662 6663 6664 6665 6666 6667 6668 6669
Maximum motor speed Maximum speed when the Cs axis is controlled Speed arrival detection level Speed detection level Speed zero detection level Torque limit value Load detection level 1 Load detection level 2 Output limit pattern Output limit value
Model–dependent 100 150 30 75 50 83 95 0
100
6530 6531 6532 6533 6534 6535 6536 6537 6538 6539
6670 6671 6672 6673 6674 6675 6676 6677 6678 6679
Soft start/stop time Position coder method orientation stop position Acc./dec. time constant when the spindle synchronization is controlled Arrival level for the spindle synchronization speed Shift amount when the spindle phase synchronization is controlled Spindle phase synchronization compensation data Feed forward factor Velocity loop feed forward factor
0 0 0
100 0
10 0 0 0 0
6540 6541 6542 6543 6544 6545 6546 6547 6548 6549
6680 6681 6682 6683 6684 6685 6686 6687 6688 6689
Normal velocity loop proportional gain (HIGH) Normal velocity loop proportional gain (LOW) Velocity loop proportional gain during orientation (HIGH) Velocity loop proportional gain during orientation (LOW) Velocity loop proportional gain in servo mode (HIGH) Velocity loop proportional gain in servo mode (LOW) Velocity loop proportional gain when the Cs axis is controlled (HIGH) Velocity loop proportional gain when the Cs axis is controlled (LOW) Normal velocity loop integral gain (HIGH) Normal velocity loop integral gain (LOW)
10 10 10 10 10 10 30 30 10 10
B–62550EN/014. DESCRIPTION OF PARAMETERS
94
Parameters for standard motors (parameters for high–speed operation when the output switching function is provided)
First spindle
Standard settingDescriptionSecond spindle
6550 6551 6552 6553 6554 6555 6556 6557 6558 6559
6690 6691 6692 6693 6694 6695 6696 6697 6698 6699
Velocity loop integral gain during orientation (HIGH) Velocity loop integral gain during orientation (LOW) Velocity loop integral gain in servo mode (HIGH) Velocity loop integral gain in servo mode (LOW) Velocity loop integral gain when the Cs axis is controlled (HIGH) Velocity loop integral gain when the Cs axis is controlled (LOW) Gear ratio (HIGH) Gear ratio (MEDIUM HIGH) Gear ratio (MEDIUM LOW) Gear ratio (LOW)
10 10 10 10 50 50
100 100 100 100
6560 6561 6562 6563 6564 6565 6566 6567 6568 6569
6700 6701 6702 6703 6704 6705 6706 6707 6708 6709
Position gain during orientation (HIGH) Position gain during orientation (MEDIUM HIGH) Position gain during orientation (MEDIUM LOW) Position gain during orientation (LOW) Position gain change ratio when orientation is completed Position gain in servo mode (HIGH) Position gain in servo mode (MEDIUM HIGH) Position gain in servo mode (MEDIUM LOW) Position gain in servo mode (LOW) Position gain when the Cs axis is controlled (HIGH)
1000 1000 1000 1000 100
1000 1000 1000 1000 3000
6570 6571 6572 6573 6574
6575 6576 6577 6578 6579
6710 6711 6712 6713 6714
6715 6716 6717 6718 6719
Position gain when the Cs axis is controlled (MEDIUM HIGH) Position gain when the Cs axis is controlled (MEDIUM LOW) Position gain when the Cs axis is controlled (LOW) Grid shift amount in servo mode Reference position return speed in Cs contouring control mode or servo mode Orientation completion signal detection level Motor velocity limit value during orientation Orientation stop position shift amount MS signal constant MS signal gain adjustment
3000 3000 3000
0 0
10 33 0 – 0
6580 6581 6582 6583 6584 6585 6586 6587 6588 6589
6720 6721 6722 6723 6724 6725 6726 6727 6728 6729
Regenerative power limit Delay time prior motor power shut–off Acceleration/deceleration time setting Motor voltage during normal rotation Motor voltage during orientation Motor voltage in servo mode/synchronous control Motor voltage when the Cs axis is controlled Over–speed detection level Excessive velocity deviation detection level when the motor is constrained Excessive velocity deviation detection level when the motor is rotated
Model–dependent 20 10
Model–dependent Model–dependent Model–dependent Model–dependent
115 75
200
6590 6591 6592 6593 6594 6595 6596 6597 6598 6599
6730 6731 6732 6733 6734 6735 6736 6737 6738 6739
Overload detection level Position gain change ratio when returning to the origin in the servo mode Position gain change ratio when returning to the origin in Cs axis control Acceleration presumed constant Disturbance torque compensation constant Speed meter output voltage adjustment value Load meter output voltage adjustment value Spindle velocity feedback gain Maximum speed at which position coder signal can be detected Delay time for energizing the motor
90 100 100
0 0 0 0 0 0 0
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
95
Parameters for standard motors (parameters for high–speed operation when the output switching function is provided)
First spindle
Standard settingDescriptionSecond spindle
6600 6601 6602 6603 6604 6605 6606 6607 6608 6609
6740 6741 6742 6743 6744 6745 6746 6747 6748 6749
Base velocity of the motor output specification Limit value for the motor output specification Base speed Magnetic flux weakening start velocity Current loop proportional gain during normal operation Current loop proportional gain at the Cs contour control Current loop integral gain during normal operation Current loop integral gain at the Cs contour control Zero point of current loop integral gain Current loop proportional gain velocity factor
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
6610 6611 6612 6613 6614 6615 6616 6617 6618 6619
6750 6751 6752 6753 6754 6755 6756 6757 6758 6759
Current conversion constant Secondary current factor for exciting current Current expectation constant Slip constant High–speed rotation slip compensation constant Compensation constant of voltage applied to motor in the dead zone Electromotive force compensation constant Electromotive force phase compensation constant Electromotive force compensation velocity factor Time constant of voltage filter for electromotive force compensation
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
0
6620 6621 6622 6623 6624 6625 6626 6627 6628 6629
6760 6761 6762 6763 6764 6765 6766 6767 6768 6769
Dead zone compensation data Time constant for changing the torque Velocity filter Overload detection time setting
Timer during automatic running Velocity command during automatic running Load meter displayed value for maximum output Maximum output zero point Secondary current factor during rigid tapping
Model–dependent 5 0
30 0
100 1000
Model–dependent Model–dependent Model–dependent
6630
6631 6632 6633 6634 6635
6770
6771 6772 6773 6774 6775
Constant for compensating for the phase of the electromotive force at deceleration Time constant of the speed detection filter at the Cs contour control Conversion constant of the phase–V current Motor model code
Grid shift amount when the C axis is controlled
Model–dependent
0 0
Model–dependent 0 0
B–62550EN/014. DESCRIPTION OF PARAMETERS
96
Parameters for low–speed operation when the output switching function is provided
First spindle
Second spindle
Description Standard setting
6900 6901 6902 6903 6904 6905 6906 6907 6908 6909
6940 6941 6942 6943 6944 6945 6946 6947 6948 6949
Motor voltage during normal rotation Motor voltage in the servo mode Base speed of the motor output specifications Limit value for the motor output specifications Base speed Magnetic flux weakening start velocity Current loop proportional gain during normal operation Current loop integral gain during normal operation Zero point of current loop integral gain Velocity factor of current loop proportional gain
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
6910 6911 6912 6913 6914 6915 6916 6917 6918 6919
6950 6951 6952 6953 6954 6955 6956 6957 6958 6959
Current conversion constant Secondary current factor for excitation current Current expectation constant Slip constant Compensation constant for high–speed rotation slip Compensation constant for voltage applied to motor in the dead zone Electromotive force compensation constant Phase compensation constant for electromotive force Compensation velocity factor for electromotive force
Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent Model–dependent
0
6920 6921 6922 6923 6924 6925
6926 6927 6928 6929
6960 6961 6962 6963 6964 6965
6966 6967 6968 6969
Time constant for changing the torque Maximum output zero point Secondary current factor in rigid tapping Hysteresis of the speed detection signal (SDT) output Constant for compensating for the phase of the electromotive force at deceleration Velocity loop integral gain when the Cs axis is controlled (HIGH) Velocity loop integral gain when the Cs axis is controlled (LOW) Conversion constant of the phase–V current Time constant of voltage filter for eletromotive force compensation
0 Model–dependent Model–dependent Model–dependent
0 Model–dependent
0
0 0 0
6930 6931 6932 6933 6934 6935 6936 6937 6938 6939
6970 6971 6972 6973 6974 6975 6976 6977 6978 6979
Regenerative power limit
Overload current alarm detection level (for low speed characteristic) Overload current alarm detection time constant Overload current alarm detection level (for high speed characteristic)
Delay timer at ON of electromagnetic contactor in unit
Model–dependent 0
Model–dependent Model–dependent Model–dependent
– 0 0 0 0
B–62550EN/01 4.  DESCRIPTION OF PARAMETERS
98
No. Contents
No. #1#1#2#3#4#5#6#7
8�32
8�33
8�34
8�35
8�36
8�37
8�38
8�39
8�40 POWER OFF Current loop gain (PK1)
8�41 POWER OFF Current loop gain (PK2)
8�42 POWER OFF Current loop gain (PK3)
8�43 Velocity (integral) loop gain (PK1V)
8�44 Velocity (proportional) loop gain (PK2V)
8�45 Incomplete integral coefficient (PK3V)
8�46 Velocity loop gain (PK4V)
8�47 Velocity control observer parameter (POA1)
8�48 Improvement of velocity control backlash compensation (BLCMP)
8�49 Maximum width of dual position feedback (DPFMAX)
8�50 Velocity control observer parameter (POK1)
8�51 Velocity control observer parameter (POK2)
8�52
8�53 Compensation for current non–operating area (PPMAX)
8�54 Compensation for current non–operating area (PDDP)
8�55 Compensation for current non–operating area (PHYST)
8�56 Back electromotive force compensation (EMFCMP)
8�57 Current phase control (PVPA)
8�58 Current phase control (PALPH)
8�59 Back electromotive force compensation (EMFBAS)
8�60 POWER OFF Torque limit (TQLIM)
8�61 Back electromotive force compensation (EMFLMT)
8�62 Overload protection coefficient (OVC1)
8�63 Overload protection coefficient (OVC2)
8�64 TG alarm level (TGALMLV)
8�65 Overload protection coefficient (OVCLMT)
8�66 PK2VAUX
8�67 Torque command filter (TCFIL)
B–62550EN/01 4. DESCRIPTION OF PARAMETERS
99
No. Contents
No. #1#1#2#3#4#5#6#7
8�68 Feed–forward coefficient (FALPH)
8�69 Feed–forward coefficient of velocity loop (VFFLT)
8�70 Backlash compensation acceleration parameter (ERBLN)
8�71 Backlash compensation acceleration parameter (PBLCT)
8�72
8�73
8�74 Velocity–dependent current loop gain (AALPH)
8�75
8�76 1msec acceleration feedback gain (WKAC)
8�77 Overshoot preventive counter (OSCTP)
8�78 Numerator of dual position feedback conversion coefficient (PDPCH)
8�79 Denominator of dual position feedback conversion coefficient (PDPCL)
8�80 Time constant of dual position feedback (DPFTC)
8�81 Zero width of dual position feedback (DPFZW)
8�82 Backlash acceleration end amount (BLENDL)
8�83 Brake control hold time of gravity axis (MOFCT)
8�84 POWER OFF Numerator of DMR when the flexibly feed gear is used (SDMR1)
8�85 POWER OFF Denominator of DMR when the flexibly feed gear is used (SDMR2)
8�86 Rated current parameter (RTCURR)
8�87 Torque offset of new type backlash acceleration (TCPRLD)
8�88 Mechanical speed feedback gain (MCNFB)
8�89 Base pulse in backslash acceleration (BLBSL)
8�90
8�91
8�92
8�93
8�94
8�95
8�96
8�97
8�98 Phase progress compensation coefficient in deceleration (DEPVPL)
8�99
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�P� Parameter description, 18
Parameter related to canned cycles, 14
Parameters related spindle control, 12
Parameters related to acceleration/deceleration control, 6
Parameters related to controlled axes/increment system, 3
Parameters related to coordinate systems, 4
Parameters related to CRT/MDI, display, and editing, 9
Parameters related to custom macros, 14
Parameters related to cylindrical grinding machines (0–GCD), 17
Parameters related to DI/DO, 8
Parameters related to manual handle feed, 15
Parameters related to pitch error compensation, 11
Parameters related to PMC–based axis control, 16
Parameters related to programs, 11
Parameters related to run time/parts count display, 14
Parameters related to setting, 2
Parameters related to stroke limits, 4
Parameters related to the C1–axis, 17
Parameters related to the feedrate, 5
Parameters related to the PMC, 17
Parameters related to the reader/punch interface, 2
Parameters related to the servo system, 7
Parameters related to the software operator’s panel, 15
Parameters related to tool compensation, 13
�S� Setting parameter, 20
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Non-specific immune defenses include a number of general barriers that prevent invaders from gaining entry into the body. These are considered nonspecific because they do not target any particular invader, rather they keep everything out.
| Barrier | Function(s) |
| Forms durable barrier; constant cell shedding removes pathogens; acidic pH repels microorganisms. | |
| Lubricate and wash eyes; contain lysozyme. | |
| Lubricates mouth and rinses particles into digestive tract; contains lysozyme. | |
| Traps particles and microorganisms. | |
| Hydrochloric acid kills most pathogens that enter stomach. | |
| Traps pathogens so they can be swept away by cilia and then removed by swallowing or sneezing. | |
| Slightly acidic; flushes out urinary tract. | |
| Control harmful organisms by competing against them. |
This is the most important barrier, as it covers all of the internal tissues and keeps bacteria and viruses from gaining entry. The low moisture, mild pH effects, and oily residues all inhibit microbial growth on the surface of the skin. In fact, the places that tend to be moist part of the time, like the feet, are the places where microbes can grow best.
This antibacterial enzyme is found in tears and saliva. It reduces the chances of an infection in the eyes and help to control the growth of bacteria in the oral cavity.
Many harmless bacteria live on the skin and in parts of the digestive tract. These harmless bacteria compete for food and space with any pathogens that may be present, thus keeping the more harmful bacteria at low population levels.
The acid content of the stomach prevents most intestinal illnesses. Few bacteria can pass through the stomach alive and make it to the small intestine to cause disease.
Another access point for invaders is the urinary tract. The low pH and high salt of urine help flush the urinary tract and prevent microbes from moving up into the bladder to cause an infection. Drinking cranberry juice makes urine more acidic and thus more effective at cleansing the tract.
These immune system cells are found in the tissues and they're always screening for invaders. Macrophages continually search for anything foreign and then destroy it by a process called phagocytosis. Phagocytosis is a specialized form of endocytosis where foreign material, like a bacterial cell, is brought into the cell and exposed to degradative enzymes to destroy it.
These are a group of proteins found in the bloodstream that can attack bacteria if an antibody is attached to it.
These are chemical signals that include interleukins and interferon. These are signals used by immune system cells to coordinate attacks on foreign invaders.


Who Are We?
The Robotix Club of NIT Raipur is the perfect combination of innovators, contributors and experts in the field of Robotics. The club has been inspiring minds ever since its inception in 2014.
The foundation of Robotix Club was laid by a group of enthusiastic and ardent students with a vision to promote the versatile field of robotics and it’s ever growing application in present time.
We make sure that every student seeking the knowledge gets it .The club is guided by our esteemed faculty In charge Dr. Rajesh Doriya (Department of Information Technology) who makes sure there is proper functioning of the club.
Our Vision
Robotix Club NITRR strives to develop technological skills in the diverse field of mechatronics and robotics by transcending the theoretical knowledge into live application and providing live simple yet creative solution for real world complex problems.
The club's focus has always been on student specific events and workshops to increase the reach of robotics in the college. Major part of the club has been involved with students as well as teachers working together as a cohesive unit.
What We Do?
Kick-starting its journey with a workshop on manual robotics to now providing insight to most advanced topics like Artificial Intelligence, the club has been through a remarkable journey and it continues to inspire the students to explore the discipline of Robotics.
The club conducts regular workshops and competitions to advance robotics in college. The workshops include free workshops as well as paid workshops where students get to know everything, from the basics of robotics to advance mechanisms of robotics.
Domains
Robotix Club has 4 Major Domains
This club has a very fine and responsible team of Event Managers.
They are responsible for planning and organizing the events with attention to financial and time constraints.
They book venues and schedule speakers, meet with clients and coordinate with them regularly.
Many people can sell, but not everyone is comfortable selling what doesn't exist.
This club is lucky to have the members who have strong ideation sense, are innovative and have speaking and conversational skills.
They have great interest in marketing and business world.
You can’t use up creativity. The more you use, the more you have.
It is said that Design is intelligence made visible.
Robotix club has a dedicated and creative team of members in this domain.
It is said that the words can be like X-rays if you use them properly, they'll go through anything.
You read and you're pierced.
So last but not the least, we have a magnificent and outstanding set of members in documentation team who are responsible for all the excellent content.


gulp memo
gulp ground scheme
built upon vinyl and vinyl-fs
quick ref (the bricks)
- gulp task to define a task
- gulp src to define files reading
- gulp dest to define files writing
- gulp watch to observe files
- nodejs stream the gulp paradigm
- nodejs pipe to chain gulp tasks
- vinyl fs Vinyl adapter for the file system
- vinyl Virtual file format
gulp node modules
wrapper module for protractor
Check your project’s package.json and load all gulp plugins. They are now accessible from gulp-load-plugins.
Ex :
var plugins = require('gulp-load-plugins')();
plugins.jshint = require('gulp-jshint');
plugins.concat = require('gulp-concat');
wrapper module for autoprefixer
A stylesheet, javascript and webcomponent reference injection plugin for gulp. No more manual editing of your index.html!
gulp-inject
takes a stream of source files, transforms each file to a string and injects each transformed string into placeholders in the target stream files.
Minify CSS with CSSO.
wrapper module for csso
Concatenates and registers AngularJS templates in the
$templateCache
.
Logs out the total size of files in the stream and optionally the individual file-sizes.
Static asset revisioning by appending content hash to filenames:
unicorn.css
→unicorn-d41d8cd98f.css
Enables you to work on a subset of the original files by filtering them using glob patterns. When you’re done and want all the original files back you just use the
restore
stream.
Runs a sequence of gulp tasks in the specified order. This function is designed to solve the situation where you have defined run-order, but choose not to or cannot use dependencies.


1. General
AVIF is a file format wrapping compressed still images based on the Alliance for Open Media AV1 intra-frame encoding toolkit. AVIF supports High Dynamic Range (HDR) and wide color gamut (WCG) images as well as standard dynamic range (SDR). An AVIF file shall be a conformant to [HEIF] for both Image Collections and Image Sequences. Specifically, an AVIF file shall be compliant to the requirements of Clause 4 of the [ISOBMFF] specification and, where applicable, the recommendations in Annex I: Guidelines On Defining New Image Formats and Brands in [HEIF].
2. Terms and Definitions
For the purposes of this document, the terms, definitions, and abbreviated terms specified in [ISOBMFF] and [HEIF] apply.
Some important definitions used by this document are paraphrased informationally here.
2.1. Alpha Image
A specific type of Auxiliary Image that may be used to convey information representing the opacity of associated Master Images.
2.2. Auxiliary Image
An image that is not intended to be displayed but provides supplemental information for associated Master Images.
2.3. Cover Image
A Master Image that may be used to represent the file contents. An example of this is a single image used to represent an animation before the animation sequence is activated.
2.4. Image Collection
One or more Master Images stored as items in a single file with no defined order or timing information. Within a collection image samples may share properties and metadata.
2.5. Image Properties
This is a class of non-media data. The property items may be a descriptive image attribute or decoder configuration data. The properties are primarily for consumption by the decoding agent. This information may include:
- decoder specific configuration and initialization values
- image width and height
- pixel attributes
- color space
- content light level
- mastering display color volume
2.6. Image Sequence
A sequence of Master Images stored as a track for which information is provided that defines a sequential ordering and temporal information indicating suggested playback timing. An agent decoding and presenting an AVIF file may chose to render an Image Sequence as an animation.
2.7. Master Image
An image that is not a thumbnail or auxiliary image. For the purpose of this specification, such an image is encoded using AV1 intra-frame tools. This type of image is the primary displayable payload of an AVIF file. A Master Image may be included in both an Image Collection and an Image Sequence within the same file, along with being referenced as the Cover Image.
2.8. Metadata
Metadata conveys image attributes that are not used to decode or reconstruct an image. This data is considered to be non-essential and non-normative. Examples of this include EXIF, XMP, and MPEG-7.
2.9. Thumbnail Image
This is a non-master image that may be used to represent one or more Master Images found in an AVIF file. It is typically of a smaller scale than the Master Images. Its compression format may be different than the one used by the Master Images.
3. Object Model and Structure
An AVIF file shall be a conformant version of an [HEIF] file. This is to allow for the deployment of general libraries that may be used to create and parse HEIF-based image files wrapping different coding methods for the actual image content. This should be similar to ISO-BMFF usage in the video domain.
The AVIF file format will be built on the box-structured media interchange format introduced by the ISO Base Media File Format ([ISOBMFF]). The format specified by AVIF defines the use of a subset of box structures introduced in ISOBMFF. Where the necessary structures do not exist in ISOBMFF, structures defined as part of the High Efficiency Image File Format ([HEIF]: ISO/IEC 23008-12) that are codec neutral and can be applied in a generic manner are used. An AVIF version 1.0 file shall be compliant to the requirements of Clause 4 of the [ISOBMFF] specification, and where applicable, the recommendations in Annex I: Guidelines On Defining New Image Formats and Brands in the MPEG HEIF specification shall be followed for AVIF 1.0.
4. Image Data
Image data of type "av1i" shall be limited to AV1 intra frames. This applies to both Image Collections and Image Sequences. Each image shall conform to the requirements of an Intra Frame as defined by AV1 Bitstream & Decoding Process Specification [AV1-ISOBMFF]. No inter-frame encoding shall be permitted between images.
5. AVIF Image Collection
The image data of type "av1i" shall be used for an image collection item coded with AV1.
The image item data shall be structured as defined in the AV1 Sample Format section of the AV1 Codec ISO Media File Format Binding [AV1] specification.
An AVIF file containing an Image Collection shall list the "mif1" structural brand as one of the entries in the compatible_brands array and conform to clauses 6 and 10.2 of [HEIF].
AVIF does not support coding dependencies outside of shared image properties: no inter-frame decoding dependencies within the image samples sequence.
5.1. Image Item Properties
In addtion to the Image Properties defined in [HEIF], AVIF image collections may also use the Content Light Level and Mastering Display Colour Volume image properties introduced in [MIAF].
5.1.1. AV1 Configuration Item Property
Each image item of type '"av1i" shall have an associated image property of type "av1C" that is identical to the AV1CodecConfigurationBox as defined in [AV1-ISOBMFF]. Such a property shall be marked as essential.
Each AV1i image item shall be associated with an AV1 Configuration Item Property.
6. AVIF Image Sequence
6.1. AVIF Image Tracks
The sample entry of type "av1i" shall be used for an image sequence track coded with AV1.
Image samples of type "av1i" (AV1 image) are based on AV1 intra frames. Specifically the AV1 intra-frame encoding tools as defined by AV1 Bitstream & Decoding Process Specification [AV1-ISOBMFF]: no inter-frame encoding shall be permitted between images. The image track is structured as defined by the AV1 Codec ISO Media File Format Binding [AV1] specification constrainded to the specific use case where all frames are key frames.
An AVIF file containing an Image Sequence shall list the "msf1" brand as one of the entries in the compatible_brands array and conform to sections 7 and 10.3 of [HEIF].
6.2. AV1 Sample Entry
All SampleDescriptionBoxes associated with AV1 image tracks shall use the format and procedures as defined in [AV1-ISOBMFF]. The AV1SampleEntry extends the VisualSample entry and includes a manditory AV1CodecConfigurationBox. In this case, the box is identified by the "av1i" type.
Sample Entry Type: av1i Container: Sample Description Box ('stsd') Mandatory: Yes Quantity: One or more.
class AV1SampleEntry extends VisualSampleEntry('av1i') { AV1CodecConfigurationBox config; }
7. Alpha Images
An Alpha Image is a specific type of auxiliary image that is used to carry per pixel opacity information for one or more Master Images.
A URN will be defined to identify AVIF alpha auxiliary images in both collections and sequences. For the purposes of this draft the placeholder urn:aom:avif:alpha will be used whenerver the "auxC" image item property is required.
8. Brands
If the major_brand field is set to "av1i" then the minor_version shall be set to 0.
If the major_brand field is not set to "av1i", then the brand "av1i" shall appear in the compatible_brands array.
The compatible_brands array shall contain "mif1" if the file contains an Image Collection.
The compatible_brands array shall contain "msf1" if the file contains an Image Sequence.
9. AVIF Baseline Profile
An AVIF Baseline file should be a conformant, simplified version of an [HEIF] file. This is to allow for the deployment of general libraries that may be used to create and parse HEIF-based image files wrapping different coding methods for the actual image content. This should be similar to ISO-BMFF usage in the video domain. The following define limitations to the general format of an HEIF file that defines the minimum requirements for an AVIF file reader. An implementation of an AVIF file reader may optionally choose to recognise any structure as defined in HEIF.
9.1. Image Storage
All of the constituent elements, including image samples, shall be contained in a single file. All media data locations, regardless of construction method, shall resolve to an offset within an AVIF file.
9.2. Thumbnails
Only an image type of "av1i" or "jpeg" is permited for thumbnails.
9.3. Cover Image
A PrimaryItemBox is optional. If a Cover Image is not explicitly indicated by a PrimaryItemBox the Cover Image shall be assumed to be the first master image entry in the ItemLocationBox or the first entry in the master track.
9.4. Auxiliary Images
AVIF allows only one type of Auxiliary Image: an Alpha Image.
9.5. Alpha Image
After applying any transformational Image Properties, the alpha image shall have the same dimensional attributes as the largest composite plane in the Master Image: width, height, and pixel aspect ratio. Furthermore, the pixels of the Alpha Image shall overlay the pixels of the largest component plane of any linked Master Image exactly. For example, for YUV 4:2:x, this would be the Y component plane. The decoded value of an alpha pixel shall be a normalized unsigned integer of at least 8 bits representing a range between 0.0 and 1.0. An alpha value of zero will map to 0.0 and the maximum value representable by the alpha channel shall map to 1.0.
9.6. Sample Groups
Sample groups may be ignored by readers.
9.7. Hidden Images
Hidden images may be ignored by readers.
9.8. Pre-Derived Coded Images
Pre-derived coded images may be ignored by readers.
9.9. Multi-Layer Images
Multi-layer images may be ignored by readers. This does not limit the underlying image format from encoding multiple layers but this will be internal to the encoded image and managed directly by the decoder and not visible to the AVIF reader.
9.10. Derived Images
The derivation of tiled images may be supported by Baseline readers which also support rendering images larger than permited by AV1 profiles. No other derived image format need be supported.
9.11. Metadata
Metadata conveys image attributes that are not used to decode or reconstruct an image. This data is considered to be non-essential and non-normative. Examples of this include EXIF, XMP, and MPEG-7. An AVIF reader will not be required to extract metadata from Informational Metadata boxes. This includes the case of image editing instructions conveyed in an XMP record. Essential information shall be carried in the image media directly or be conveyed as Image Properties.
9.12. Collection Elements
An AVIF file reader must be able to recognize the following boxes. Any box field or feature not explicitly limited by this specification should be handled as defined in ISO 14496‑12 and ISO 23008-12.
| box hierarchy | version | box description | ||
| ftyp | - | file type | ||
| meta | 0 | metadata container box | ||
| hdlr | 0 | handler type definition | ||
| pitm | 0,1 | primary item reference | ||
| iloc | 0,1,2 | item location table | ||
| iinf | 0,1 | item information table | ||
| infe | 2,3 | item information table entry | ||
| iprp | - | item properties container box | ||
| ipco | 0 | item property definitions | ||
| ipma | 0,1 | item property associations | ||
| idat | - | item data box |
9.13. Sequence Elements
An AVIF file reader must be able recognize the following boxes. Any box field or feature not explicitly limited by this specification should be handled as defined in ISO 14496‑12 and ISO 23008-12.
| box hierarchy | version | box description | |||
| ftyp | - | file type | |||
| moov | - | movie container box | |||
| trak | - | track container box | |||
| tkhd | 0,1 | track header | |||
| tref | - | track references | |||
| mdia | - | media information container | |||
| mdhd | 0,1 | media information header | |||
| hdlr | 0 | media handler type | |||
| minf | - | media information box | |||
| vmhd | video media header | ||||
| dinf | - | data information container | |||
| dref | 0 | data references for track sources | |||
| stbl | - | sample table mapping container | |||
| stts | 0 | sample to decode time table | |||
| stsd | sample description(visual sample entry box subclass) | ||||
| stsz | 0 | sample size table | |||
| stsc | 0 | sample to chunk table | |||
| stco | 0 | chunk offset table | |||
| mdat | - | media data |


Welcome to the Mayberry Laboratory for Multimodal Language Development. We investigate language acquisition and processing across the multiple sensory and motor modalities through which language occurs: sign language, spoken language, written language, and gesture. We use a variety of psycholinguistic and neurolinguistic paradigms to discover how the child's early language experience affects adult language ability across these modalities.


| QuickSmith Web Version 1.0.0 Frequently Asked Questions |
Following are answers to some of the top questions I receive regarding QuickSmith.
QuickSmith is a Smith Chart based linear circuit simulation program.
Some of the features offered by this program are listed below:
- Ladder network, elements are loaded using drag drop method.
- Open and Save functions for schematic files
- Impedance matching
- Frequency/component sweep
- Load impedance interpolation/extrapolation for frequency dependent loads
- Q factors taken into account for network components
- Amplifier design/analysis using gain/noise circles
- Insertion loss and S21 graphs
- Transmission line parameter calculations
- Constant Conductance, VSWR and Q circles
- Import and Export of data files
- Help files with solved examples of network matching and amplifier design
First you will notice there are two windows one on the left is the Smithchart window another and on the right is Schematic
In the Schematic window, click on the resistor icon and drag and drop it in the white slot in the ladder above, a Message box will pop up and enter a number and hit return
Notice that the blue dot on the Smith chart moves to an appropriate location. Now you can you use spin(up/down) button to navigate on the Smith chart
To change the step size double click on the component value in the schematic window. Mobile users may tap on the component value, and enter s or S to change the setp size.
The load (L) on the left side of the Schematic window is the device you are looking into. It is very similar to a Network analyser with the Port 1 cable connected to a device. The display end of the network analyzer is the right side (Zin)
Frequency MHz, Resistor Ohms, Inductor nH, Capacitor pH.
To change the load resistance or reactance drag the RX icon or the GAMMA icon icon on load (L) slot and enter the value in the message box .
In the Schematic window enter the Load resistance and reactance. Next enter the operating frequency[Mhz] in the freqency input box. Depending upon your Load location use the Matching aid shown below to determine the network to get to 50 Ohms, alternatively web users can make use of the new "Matching Tip" feature that will appear in the schematic section when the mouse pointer is hovered on the blue dot. The goal is to navigate the blue dot on the Smith chart to the circle going through the center and then use the last component to bring to the 50 Ohm point. See the Large Signal Amplifier Design Example in the help section.
Use the Marker in the SmithChart window display menu to set a target marker.
To get to the Amplifier design window click on the Amplifier design menu or the "Chart icon". You will see two Smith charts. One for the source plane and another for the load plane. You can use this to optimize Gain and noise trade offs. See the "Small Signal Amplifier Design" Example in the Help section.
Insertion Loss window gives you the insertion loss of the network. It assume load and source impedance is 50 (characteristic) Ohms. To set frequency sweep parameters, use "Options" menu in the navaigation bar.
First set frequency/component sweep parameters, use "Options" menu in navaigation bar. Click on "ShowSweep" menu "Generate" item to sweep.
On the menu of Insertion Loss or Amplifier Design window click on Back, on small screen devices like a phone or tablet, you will see BackM, this will open a new window instead of going back to the parent window. This is due to security limitation on the phone.
Move you mouse pointer to the Smith chart and double click your right mouse button.
Due the limited screen width and other limitations of mobile devices, we have restricted some features in that mode as listed below:
1) No file access
2) Q circles and Insertion loss features are not available
3) Only half of the element slots(6) are available
4) Element designators are omitted
4) To avoid interference with the drag operations, we have limited touch interactions to bare minimum
5) "Matching Tip" and "ToolTip" featurea are not available in Mobile mode.
To avoid losing data in between refresh, use "Save Session" in the File menu. This saves the data to the local memory, a new refresh will check if there is anything saved and load it if so.
"New Session" removes any saved session and "Restore Session" recalls the last saved session.
External data can be imported by using the Import feature under Data menu in the Navbar. The data is stored in JSON format. Example files can be found in the gam folder. To create "gam" files "Generate" a Sweep and export the data using the "Export Command".
i) Electronic Applications of the Smith Chart, Phillip H. Smith, Robert E. Krieger Company, Malabar, Florida
ii) Hewlett-Packard Application Note 970, February 1978
iii) Microwave Transistor Amplifiers, Guillermo Gonzalez, Prentice-Hall, 1984.
iv) QEX July/August and Sep/Oct. 2010, Using QuickSmith: Part 1 and Part2, By Harold Kinley, WA4GIB.


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| write.river.netCDF | R Documentation |
For each entry in 'riverNames' a netCDF file is created. TODO
write.river.netCDF(riverNames, riverInfo, riverData, netCDF2input, dOt, year, overwrite = TRUE, warn = TRUE, cmd_ncgen = "ncgen")
riverNames |
character array with river names |
riverInfo |
list() of grid-information-lists(); to each element in riverNames one list element with the same name needs to exist in riverInfos |
riverData |
list() of river-inflow-data-lists(); to each element in riverData one list element with the same name needs to exist in riverInfos |
netCDF2input |
list() with two character arrays netCDF2input$untagged and netCDF2input$tagged; these contain the names of rivers, which are tagged and untagged, respectively |
dOt |
character; directory into which the final file should be written |
year |
integer; year to write out |
overwrite |
logical; overwrite 'dOt/filename' it already exists |
warn |
logical; allow/suppress warnings |
cmd_ncgen |
character: ncgen-call; if ncgen is not in the path (or the wrong verson of ncgen) please provide here '/path/ncgen-exec' for the ncgen binary |
Daniel Neumann<EMAIL_ADDRESS>write.river.newNML, write.river.newInflow
# read a file: test.mom.monthly <- list() test.mom.monthly$Warnow <- read.mom('files/GER_Dan_Str_Warnow.dat') test.mom.monthly$Trave <- read.mom('files/GER_Dan_Str_Trave.dat') # calculate annual means from monthly data test.mom.annual <- list() test.mom.daily$Warnow <- interpolate.river.mom(test.mom.monthly$Warnow, to = 'daily', method = 'step') test.mom.daily$Trave <- interpolate.river.mom(test.mom.monthly$Trave, to = 'daily', method = 'step') # get netCDF file variable mapping varmapping.hbm <- get.varmapping.hbm.netcdf() # get grid info grid_info <- get.infos.grids.hbm.basic() # get river infos file <- 'files/river_list.dat' riverInfos <- read.infos.rivers(file, grid_info) # write new namelist write.river.netCDF(c('Warnow', 'Trave'), riverInfos, test.mom.daily, varmapping.hbm, dOt, 'files', 'out_dir', 2012, month = 1, day = 1:5, overwrite=FALSE) input vals: mol/kg output vals: mmol/m3 output = input * 20^6


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Come experience Dumbledisle Resort! Located off the coast of sunny Jamaica. You'll never want to go to the beach once you check in!


---
start: 2017-01-04 13:00
edition: 22
participate: "https://www.eventbrite.com/e/multi-paradigm-programming-in-scala-and-akka-tickets-30693547226"
subheader: "Multi-paradigm programming in Scala and Akka"
subnote:
talk :
agenda:
-
time: "6:45 pm - 7:30 pm"
title: "Multi-paradigm programming in Scala"
speaker_profile: "By: Joseph Nuthalapati"
image: "joseph.jpg"
-
time: "7:30 pm - 7:45 pm"
title: "Break & Networking"
-
time: "7:45 pm - 8:30 pm"
title: "Designing actor systems in Akka"
speaker_profile: "By: Raj Saxena"
image: "raj.jpg"
---


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Man, 33, dies after being fatally injured in serious North Ayrshire road crash
Police have named a pedestrian who died in a Kilbirnie road crash as Robert Taylor, a 33-year-old man.
by Irvine Herald, Lochlin Highet, https://www.dailyrecord.co.uk/authors/irvine-herald/, https://www.dailyrecord.co.uk/authors/lochlin-highet/A man has died after a serious road crash in North Ayrshire.
Police have named a pedestrian who died in a Kilbirnie road crash as Robert Taylor, a 33-year-old man.
The incident, which happened on Monday morning, led to the road being closed for around six hours.
A police spokesperson said: "We can confirm a 33-year-old man has died following a serious crash in Kilbirnie.
"The incident happened around 6.20am on Monday, 4 November, 2019, on the B780, approximately 200 yards east of East Mains Farm. It involved a silver Toyota Yaris and a pedestrian.
"The pedestrian was taken to the Queen Elizabeth University Hospital where he died yesterday. He can now be named as Robert Taylor. His family have been informed."


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Video games
I've been playing video games for decades! From the Atari 2600 all the way up to PlayStation 4
The first game I ever played was the one and only Pac-Man. It started a lifelong hobby that I enjoy now more than ever!
Movies
Who doesn't love movies?! In my opinion the 80's and 90's had some of the best movies ever made.
Every Friday night is movie night at my house. October, however, is when it's time to watch all the classic horror movies! Halloween, Friday the 13th, and Poltergiest just to name a few.
Bicycles
Because you gotta get some exercise in sometime...
Most of us do a lot of bike riding as kids, but it's just as fun as an adult! I enjoy both road and mountain biking. It's a great stress reliever.


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Tait Hoyem
Experience
-
Zone4 Systems Inc. — Software Developer (June 2021-present)
Software development and QA (testing) for an international race timing company based in Canmore, AB. Testing using unittest and Selenium. Development done in Javascript and Tornado. Zone4 was founded in 2001 by Canadian Olympian Dan Roycroft.
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Bytetools Technologies Inc. — Founder (2020-present)
Providing small businesses with simple, secure software solutions.
-
VOG App Developers — Contractor (Summer 2020)
Identify seed health for machine learning algorithm bootstrapping.
-
Independent — Tutoring/Transcribing (2019-present)
Working with computer science students explaining introductory to advanced concepts. Covering languages from C/C++ to Javascript to Python. I am skilled in working with students who have visual impairments: transcribing inaccessible computer code (from images or a screen-share) and presenting complex math equations in an accessible format.
-
Total Impact Signs — Contractor (2014-2016)
Implemented a semi-automatic payroll system replacing the manual sign in book used before.
Education
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Athabasca University — Degree / Bachelor of Science (2021-2023)
Theoretical underpinnings to work towards my goal of a Master’s in cybersecurity.
-
Southern Alberta Institute of Technology — Diploma / Information Technology — Software Development Major (2019-2021)
Full-stack two year software development diploma. Focusing on databases, interface design, systems administration, security and enterprise solutions.
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Dartmouth College (Open Corseware) — Professional Certificate / C Programming with Linux (2020)
A certification in C programming, the
gcc
compiler, and themake
compilation system. 100% mark. -
The Linux Foundation — Certification / Certified Linux System Administrator (2016)
Certified in Linux system administration tasks. Running web servers, maintaining mass storage systems, running secure remote control tools. Certificate no longer valid.
Projects
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Odilia Screen Reader
Significant contributor to a new screen reader for Linux, written in the Rust programming language.
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Programming Tutorials For The Visually Impaired
Amateur-level production quality videos with all file buffers, written text, and shell commands read out by Emacspeak, an Emacs extention for the blind.
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Simple Markdown Editor
A simple online (and offline) browser-based markdown editor that supports the automatic creation of accessible math (MathML).
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Lichess
A patch for Lichess.org which vastly extends support for screen reader users. The website has millions of active players.
-
Quote Retrieval System
Written for a local roofing business to securely distribute quotes.
-
epub-with-pinyin
A program to add Pinyin above Chinese characters in .epub files to assist those learning Mandarin Chinese.
-
lamegames
A little games website I made for some demonstrations of Django and websocket functionality. Very, very lame. Would not recommend.
-
chess
A command-line chess game in C++. It is compileable on nearly any system.
Skills
Languages
- English (native)
- Mandarin (novice)
Programming Languages
- C/C++
- Python
- Java & Java EE
- HTML/CSS/JS (Frontend Web)
- Typescript, SCSS, Static Site Generation (Compiled Web)
- PHP
- POSIX-compliant Shell
- LaTeX, MathML
Frameworks/Environments
- Flask
- Django
- JQuery
- Jekyll
Miscellaneous/Hobbies
- 3D Printing
- Proxmox Virtualization
- Embedded Systems (RPi, ESP-compatible)
- Founder & Ex-President of SAIT's Free & Open-Source Software Club


6 April 2005
As of 25 March 2005, 71 suspected cases including 5 deaths (case fatality rate, 7.04%) have been reported from Sarf Omra, North Darfur state. Neisseria meningitidis serogroup W135 has been identified by either latex test or culture in 11 out of 20 specimens collected.
A mass vaccination campaign using trivalent vaccine provided by the International Coordinating Group (ICG) on Vaccine Provision for Epidemic Meningitis Control and targeting a population of 45,000 started on 2 April in the Sarf Omra administrative unit and surrounding villages. Médecins sans Frontières-Belgium and WHO have supported the Federal Ministry of Health in implementing the campaign.


/tʃaʊ/
I'm Sanket, an aspiring researcher working in the domain of Deep Learning, Computer Vision and Machine Learning with a focus on Multi Modal Deep learning. I am currently a PhD student at PAVIS, Italian Institute of Technology under the supervision of Dr. Alessio Del Bue.
Previously, I have worked with Nokia Bell Labs , SmartVizx , Ernst and Young with their research department. Besides, I also started two startups during my college and have had two provisional patents. I have also been an active participant in technical communities and presented multiple techincal talks and workshops at various level(s).
This claim is disputed


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