R( ) Function
R(obj, recursive, block)
is the equivalent to $
in jQuery or underscorejs’ _()
. It is also a shortcut to the RubyJS namespace where all classes are defined, ie R.String, R.Array. R(arg, recursive=false)
converts the given argument into a corresponding RubyJS object. The returned object contains all the Ruby methods.
R(1) // => R.Fixnum
R(1).odd() // => true
str = R('RubyJS')
str.swapcase() // => "rUBYjs" R.String
R([1,15,8]).sort() // => [1,8,15] R.Array
// Inline blocks return native objects:
R([1,15,8], function () { return this.sort(); })
// => [1,8,15] JS Array
This works for all Javascript types that have a corresponding Ruby class. Numbers, Strings, Regexp, Array. It works with Javascript primitives and their wrapper objects. Types that contain other objects, most notably Array, per default do not typecast their members. Use the recursive flag if you want to do so R([1,2], true)
is equivalent to R([R(1), R(2)])
R(1) // => RubyJS.Fixnum
R(1.2) // => RubyJS.Float
R("foo") // => RubyJS.String
R(/\w+/) // => RubyJS.Regexp
// --- Arrays -------------------------------------------------------
R([1,2]) // => RubyJS.Array [1, 2]
R([1,2], true) // => RubyJS.Array [R(1), R(2)] Recursive
// --- With primitive wrappers --------------------------------------
R(new Number(1)) // => RubyJS.Fixnum
R(new Number(1.2)) // => RubyJS.Float
R(new Array()) // => RubyJS.Array
R(new String('foo')) // => RubyJS.String
If a RubyJS class has no equivalent in Javascript such as Range then shortcuts are provided.
// --- Ranges -------------------------------------------------------
R.rng(1, 5) // => RubyJS.Range (1..5) includes 5
R.rng(1, 5, true) // => RubyJS.Range (1...5) excludes 5
R( ) Inline functions
When you pass a function to R(obj, function() {} )
it is executed with the context of obj
and (recursively) converts the function return value to a native object. This makes sense when you want to use RubyJS methods but continue working with a native object.
R([1,2,3], function () {
return this.each_cons(2).to_a();
})
// => [[1,2], [2,3]]
// Equivalent to:
R([1,2,3]).each_cons(2).to_a().to_native(true);
Frankly, inline functions add syntactic beauty with CoffeeScript only.
# CoffeeScript
R([1,5], -> @sort() )
Todo: this currently only does not work with the type specific typecasting methods R.i( )
, R.rng( )
, R.w( )
, etc.
R( ) Unsupported Types and Special Cases
RubyJS objects, null and classes that are not implemented are simply returned.
// --- Time and Hash/Object not yet supported -----------------------
R({}) // => {}
R(new Date()) // => native Date
R(null) // => null
// --- Returns RubyJS untouched -------------------------------------
obj = R("foo")
R(obj) === obj // => true, obj is not a clone
// Below we create two R.String objects.
R('foo') === R('foo') // => false
Special case: When passed a number to R()
, it returns a Fixnum if there are no digits after the separator (when 1.0 % 1 === 0
) and a Float otherwise. Use R.i(1.0)
or R.f(1.0)
to force it into a specific class.
// --- Floats -------------------------------------------------------
R(1.0) // => RubyJS.Fixnum
R(1.0).to_f() // => RubyJS.Float
R.f(1.0) // => RubyJS.Float
R.i(1.0) // => RubyJS.Fixnum
The R()
method is optimized to not cause too much overhead. Of course you can also create RubyJS objects using traditional constructors new R.String('foo')
, R.String.new('')
or R.$String()
.
Class Overview
Following a list of implemented classes from the Ruby 1.9.3 core-lib. They conform closely to rubyspec.org. Unsupported features are encodings, bit operations, trusting, tainting and freezing objects. Freezing objects is on the roadmap.
RubyJS Modules
R.Kernel
included in ObjectR.Numeric
included in all number classesR.Integer
R.Enumerable
Array, Enumerator, Range. Must implement #eachR.Comparable
Must implement a ‘<=>’ method
RubyJS classes
R.Object
methods shared among all classesR.Array
R.Enumerator
mainly used for chaining enumerable methodsR.String
R.Regexp
R.MatchData
R.Fixnum
R.Float
R.Range
R.ArgumentError
,R.IndexError
,R.TypeError
, etc. The same error types are raised in RubyJS. At the moment however without the additional error messages.
Missing classes on the roadmap (in order of priority):
R.Hash
R.Time
R.Math
R.Complex
,R.Bignum
,R.Rational
IO
,File
and others that make no sense in the browser.
The R Namespace
R
or RubyJS
is the namespace where all classes reside. Like Rubys main object it includes the Kernel module. So you have access to various methods that are also available in all objects, e.g. R.rand(10)
, R.puts('hello')
. Also the R namespace includes the special variables R['$~']
, R['$;']
, etc that are fully functional. They are likely to get less awkard aliases.
Naming/Aliases/CamelCase
Ruby method names that are not valid javascript names are added as strings and conssitently aliased with valid names. For those with strong feelings against snake_case method names there will be camelCased aliases.
- Operator methods as strings with an alias
- Remove
?
from method names.include?
=>include
- Replace
!
with_bang
str = R('foo')
str['<=>']('bar') // => -1
str.cmp(bar) // cmp alias to <=>
str['==']('bar') // => false
str.equals('bar') // equals alias to ==
// Mapping:
'==' : equals
'===' : equal_case
'<=>' : cmp
'%' : modulo
'+' : plus
'-' : minus
'*' : multiply
'**' : exp
'/' : divide
'<<' : append
Special variables and methods in the R namespace like $~
will reside in R['$~']
. Typecasting methods Kernel#String, Kernel#Float unfortunately collide with the class names and for the time being are prefixed with a $
: R.$Float("1.23")
, R.$String([])
.
Constructors
The RubyJS objects work much like the primitive wrapper objects in JavaScript. They coerce back to their primitive values using valueOf
, toString
.
R('foo')
// To get the same functionality as Rubys String.new, use:
R.String.new('foo') // => 'foo'
// Call the constructor directly for speed
new R.String('foo') // => 'foo'
// If not passed a string primitive, valueOf() will be called
new R.String(1) // => '1'
new R.String( ) // => ''
new R.String(null) // => ''
to_native()
To access the underlying native JS primitive or object use to_native()
and to_native(true)
also converts an objects member (e.g. array elements). If there is no native JS object it will return self/this.
R('foo').size().to_native() // => 3 JS primitive
Equality operator
The ruby equality operators ==
, ===
, <=>
are implemented to follow rubyspec. When comparing a rubyjs object with native js types keep the following in mind.
str = R('foo')
// RubyJS.String objects coerce to primitives
str == 'foo' //=> true
'foo' == str //=> true
// RubyJS.Objects behave like the native wrapper objects
'foo' === str //=> false
'foo' === new String('foo') //=> false
// Also R() creates different objects for the same String
R('foo') === R('foo') //=> false
new String('foo') === new String('foo') //=> false
Methods
Chainable
Methods are chainable by design as they return RubyJS objects. So no further typecasting with R() is needed and we can write powerful one-liners.
str = R('foo') // => 'foo' <RubyJS.String>
str.size() // => 3 <RubyJS.Fixnum>
str.size().upto(5) // => <Enum> <RubyJS.Enumerator>
str.size().upto(5).to_a() // => [3,4,5] <RubyJS.Array>
str.size().upto(5).to_a().join(",") // => "3,4,5" <RubyJS.String>
Note that block arguments in Enumerable methods typically are never converted, both for performance reasons and to be able to support the various useages of block arguments.
R(['foo', 'bar']).each(function(w) {
// => 'foo', 'bar' both remain primitives
R([1,2,3,4]).each_slice(2, function(arr) {
// => [1,2] and [3,4] arr both native arrays
Arguments
All RubyJS methods typecast method arguments. So it doesnt matter whether you pass a RubyJS object, a primitive or a native JS object. Typecasting follows closely the Ruby specification and supports duck-typing.
str = R("foo")
str.rjust( 5 ) // => " foo" (Recommended)
str.rjust( R(5) ) // => " foo"
str.rjust(new Number(5)) // => " foo"
// Duck-typing, object that implements to_int
str.rjust( {
to_int: function() { return R(5); }
})
This process is fast. Methods internally use JS primitives and arguments will only be typecasted to a RubyJS object when needed.
Mutator methods
Destructive methods change the object. Non-destructive methods do not change the object itself but return a new one. They are called mutator methods as they mutate the object. In Javascript there are only a handful of mutator methods for arrays.
arr = [1,2,3] // a normal javascript array
arr.concat(4) // => [1,2,3,4]
arr // => [1,2,3] unchanged -> non-destructive method
arr.push(4) // => 4
arr // => [1,2,3,4] changed -> destructive method
In Ruby destructive methods have a !
suffix, capitalize
vs capitalize!
. As this is not a valid method name it is replaced with capitalize_bang
until a better solution is found.
str = R('foo')
str.capitalize() // => 'Foo'
str // => 'foo'
str.capitalize_bang()
str // => 'Foo'
Enumerables
Complete support for Ruby Enumerables and Enumerators.
arr = R.w('foo bar baz') // => ['foo', 'bar', 'baz']
arr.map(function (w) { return w.size() } // => [3,3,3]
arr.each_with_object({}, function(w, obj) {
return obj[w] = w.reverse();
})
// => { foo: "oof", bar: "rab", baz: "zab" }
Block arguments
When passing arguments to a block RubyJS adapts to the arity of the block (Function.length) and works exactly like ruby.
arr = R([ [1,2,3] ])
arr.each(function (a ) { }) // a: [1,2,3]
arr.each(function (a,b,c) { }) // a: 1, b: 2, c: 3
arr.each(function ( ) { }) // arguments: [1,2,3]
arr = R(['foo'])
arr.each_with_index(function (a, i) {}) // a: 'foo', i: 0
arr.each_with_index(function (a ) {}) // a: 'foo'
Splatting arguments with CoffeeScript works too:
coffee.each_with_index (a...) -> # a: ['foo', 0]
js_arr.each_with_index(function () {
var args = Array.prototype.slice.call([])
}) // args: ['foo', 0]
Mixins
Enumerable is implemented as a module that can be included in others. So you can create your own Collection, e.g. a Set, OrderedArray, etc. Implement #each
.
Breaking loops
arr = R([1,2,3])
result = R.catch_break( function (breaker) {
arr.each function (el) {
breaker.break("yay") if el == 2
}
})
result // => 'yay'
By hasclass


Gig is a portable bluetooth speaker which aims to be used in different places; the form and the handle of the speaker enable
users to use it in two ways by standing on the floor or hanging. Addition to the hanging, the handle helps users
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Gig is double-sided; it has sound off on both back and front. It aims to increase the effect of sound and to
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Sales Engineer - San Francisco, CA 94104
About Instabase
Founded in 2015, Instabase's mission is to advance the state of the art by building tools that help people solve important problems, make discoveries, and create new breakthroughs.
Instabase is an operating system designed for operational efficiency. It uses the web browser as the user interface, a pluggable storage system for managing data (files and databases), and an app store for applications. These applications run on the Instabase Platform, which provides the core management capabilities for managing diverse, distributed datasets; support for collaboration and access control; and a runtime for Instabase Applications.
The applications include state of the art tools for [1] processing a diverse set of unstructured data (scanned images, PDFs, word/excel documents, emails, websites, etc.), [2] running extensible functions with a server-less framework, [3] machine learning (natural language processing, image processing, classification, clustering, etc.), and [4] data science.
Our customers include large enterprises with huge operational costs in a variety of domains, such as financial services (e.g. banks, insurance), healthcare, logistics/supply chain.
As a non-profit initiative, Instabase provides a hosted IPython-style notebook for education, which is widely used by universities (Stanford, MIT, Columbia, University of Chicago, etc.), for teaching classes. The Stanford Dean of Engineering Jennifer Widom used Instabase as the platform for her 2016-17 Instructional Odyssey, a year-long sabbatical in which she traveled the world offering free short courses in data and design
The Role
As a Sales Engineer at Instabase, you will be responsible for providing world class pre-sales technical support to the sales team. You'll combine your technical aptitude, exceptional communication skills, and creative problem solving to help with pre-sale activities that include:
Conducting Instabase demos to any audience (both non-technical and technical)
Conducting specific use case demos to stakeholders
Communicating and presenting the value proposition of Instabase's technical capabilities
Have a knowledgeable understanding of technical concepts from high level code to architecture
Quickly understanding new capabilities as Instabase evolves to apply to customers
Develop pre-sales support material and documentation for new products and features
Qualifications:
BA/BS degree in business/technology, or equivalent technical account management experience
4+ years in Sales Engineering, Partner Engineering, Solutions Engineering or a Support role
World class communicator with excellent sales instincts
Travel up to 40%
Instabase is an equal opportunity employer and values diversity in all forms. Instabase does not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability, or any other unlawful factor. Instabase also complies with local laws, including the San Francisco Fair Chance Ordinance.


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The XCDL format
| Page authored by Liviu Ionescu; last modified on Wed Dec 27 10:19:33 2017 UTC. |
Improve this page |
Overview
The XCDL format describes metadata used to define various objects, from boards and devices, to software components.
File conventions
JSON Properties
As with any JSON file, the content is basically an object with several properties, represented as "name": <value>
. The values may be strings, objects or arrays of other values.
Named children objects are stored in objects (not arrays), with the names as properties (implemented as maps, with names as keys). Compared to arrays, maps have the advantage of guaranteed unique names.
Collections
Traditionally, collections are stored in JSON as arrays, which impose no restrictions on the content or uniqueness.
If object names must be unique, collections of named children can be stored as objects (implemented as maps) with names as properties and children objects as values.
To simplify usage, except named children, collections cannot have other properties.
File names
Specific files have names with a prefix, in singular or plural:
devices-xcdl.json
or device-xcdl.json
boards-xcdl.json
or board-xcdl.json
Objects
The XCDL file is a hierarchy of objects, with the JSON root on top.
The root object
| Properties |
Type |
Description |
schemaVersion |
string |
The version is used by the parser to identify different file formats. |
mcus |
object |
A parent for all MCU related definitions. |
Example
{
"schemaVersion": "0.1.0",
"mcus": {
"families": {
"fe": {
"...": "..."
}
}
},
}
The mcu object
The MCU is the top-most object, and usually contains one MCU family.
| Properties |
Type |
Description |
families |
collection |
A map of family objects. The keys are internal IDs used to refer to the family. |
The family object
| Parent |
The mcus property of the root object. |
| Properties |
Type |
Description |
displayName |
string |
A short string to externally identify the device family. Must be unique among all files. If missing, the internal name (the map key) is used. |
description |
string |
A long string to describe the main features of the device family. |
supplier |
object |
The device supplier. |
subFamilies |
collection |
A map of sub-family objects. The keys are internal IDs used to refer to the objects. (optional) |
devices |
collection |
A map of device objects. The keys are internal IDs used to refer to the devices. |
The supplier object
The device supplier.
| Properties |
Type |
Description |
id |
string |
The supplier numeric id; should not change over time. |
displayName |
string |
A short string to externally identify the supplier. |
The subFamily object
| Parent |
The subFamilies property of a family object. |
| Properties |
Type |
Description |
displayName |
string |
A short string to externally identify the device sub-family. Must be unique among all files related to a supplier. If missing, the internal name (the map key) is used. |
description |
string |
A long string to describe the main features of the device sub-family. |
devices |
collection |
A map of device objects. The keys are internal IDs used to refer to the devices. |
The device object
The device is the basic object, and correspond to a single implementation of a MCU which has unique characteristics from the software point of view.
| Parent |
The devices property of a family or subFamily object. |
| Properties |
Type |
Description |
displayName |
string |
A short string to externally identify the device. Must be unique among all files related to a supplier. If missing, the internal name (the map key) is used. |
description |
string |
A long string to describe the main features of the device. |
url |
string |
A full URL to a page describing the device. |
compiler |
object |
compiler specific definitions. |
features |
object |
TBD |
memoryRegions |
collection |
TBD |
debug |
object |
TBD |
The compiler object
An object with definitions useful for the compiler.
| Parent |
| A device or board object. |
| Properties |
Type |
Description |
headers |
string[] |
headers to include the board/device definitions. |
defines |
string[] |
preprocessor definitions for the board/device. |
The debug object
An object with definitions useful for debug sessions.
| Properties |
Type |
Description |
jtag |
object |
TBD |
xsvd |
string |
the relative path to the XSVD JSON file (POSIX paths). Used by the debugger to display the peripheral registers. |
svd |
string |
the relative path to the CMSIS SVD XML file, (POSIX paths). Used by the debugger to display the peripheral registers. Ignored if the xsvd property is present. |
TBD
Revision history
The format version is reflected in the schemaVersion
property, present in the root object. The value of this property follows the semantic versioning requirements (semver).
Versions are listed in reverse chronological order.
v0.2.0 (2017-12-27)
- simplify
supplier
, keep only id
and displayName
- rename
compile
to compiler
- rename
macros
to defines
v0.1.0 (2017-12-08)
- preliminary version, only some device related fields.


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The point of using lorem isthat it has a more-or-less normal button of letters as opposed to using Content here, content here.
making look like readable English.
There are many variations of passageswhich have nothing to do with anything, i donn't know why i am writing this but kar bhi kya sakte hai
2000 years oldremaining essentially unchanged. It was populansed in the 1960s
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|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
Simple binomial lattice approximating the Black-Scholes model. More...
#include <ql/methods/lattices/bsmlattice.hpp>
Public Member Functions | |
| BlackScholesLattice (const ext::shared_ptr< T > &tree, Rate riskFreeRate, Time end, Size steps) | |
| Rate | riskFreeRate () const |
| Time | dt () const |
| Size | size (Size i) const |
| DiscountFactor | discount (Size, Size) const |
| void | stepback (Size i, const Array &values, Array &newValues) const |
| Real | underlying (Size i, Size index) const |
| Size | descendant (Size i, Size index, Size branch) const |
| Real | probability (Size i, Size index, Size branch) const |
| Public Member Functions inherited from TreeLattice1D< BlackScholesLattice< T > > | |
| TreeLattice1D (const TimeGrid &timeGrid, Size n) | |
| Array | grid (Time t) const override |
| Real | underlying (Size i, Size index) const |
| Public Member Functions inherited from TreeLattice< Impl > | |
| TreeLattice (const TimeGrid &timeGrid, Size n) | |
| void | initialize (DiscretizedAsset &, Time t) const override |
| initialize an asset at the given time. More... | |
| void | rollback (DiscretizedAsset &, Time to) const override |
| void | partialRollback (DiscretizedAsset &, Time to) const override |
| Real | presentValue (DiscretizedAsset &) const override |
| Computes the present value of an asset using Arrow-Debrew prices. More... | |
| const Array & | statePrices (Size i) const |
| void | stepback (Size i, const Array &values, Array &newValues) const |
| Public Member Functions inherited from Lattice | |
| Lattice (TimeGrid timeGrid) | |
| virtual | ~Lattice ()=default |
| const TimeGrid & | timeGrid () const |
Protected Attributes | |
| ext::shared_ptr< T > | tree_ |
| Rate | riskFreeRate_ |
| Time | dt_ |
| DiscountFactor | discount_ |
| Real | pd_ |
| Real | pu_ |
| Protected Attributes inherited from TreeLattice< Impl > | |
| std::vector< Array > | statePrices_ |
| Protected Attributes inherited from Lattice | |
| TimeGrid | t_ |
Additional Inherited Members | |
| Protected Member Functions inherited from TreeLattice< Impl > | |
| void | computeStatePrices (Size until) const |
| Protected Member Functions inherited from CuriouslyRecurringTemplate< Impl > | |
| CuriouslyRecurringTemplate ()=default | |
| ~CuriouslyRecurringTemplate ()=default | |
| Impl & | impl () |
| const Impl & | impl () const |
Simple binomial lattice approximating the Black-Scholes model.
Definition at line 36 of file bsmlattice.hpp.
| BlackScholesLattice | ( | const ext::shared_ptr< T > & | tree, |
| Rate | riskFreeRate, | ||
| Time | end, | ||
| Size | steps | ||
| ) |
Definition at line 72 of file bsmlattice.hpp.
| Rate riskFreeRate | ( | ) | const |
Definition at line 43 of file bsmlattice.hpp.
| Time dt | ( | ) | const |
Definition at line 44 of file bsmlattice.hpp.
Definition at line 45 of file bsmlattice.hpp.
| DiscountFactor discount | ( | Size | , |
| Size | |||
| ) | const |
Definition at line 46 of file bsmlattice.hpp.
Definition at line 83 of file bsmlattice.hpp.
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The Day My Mother Forgot to Cry
I shudder to recall that dreadful Diwali night of October 2007, when my mother knocked our bed room at the dead of the night enquiring where the toilet was. She looked disoriented and totally confused. Unable to understand the cause for her abnormal behaviour, we thought she was still in a semi-sleep state and showed her the toilet. But even after coming out of toilet she was unable to find her way to her bed room.
Sensing that something is seriously amiss, we took her next day to the nearby nursing home for diagnosis and treatment. She was immediately referred to a neurosurgeon and after a MRI scan it was confirmed that she suffered a brain stroke. The report showed certain grey patches which the doctor referred to as clots have affected her memory totally. The doctor informed that the memory loss is irreversible due to her old age. He, however, assured that further, damage to the brain can be arrested with drugs.
That was the beginning of the slow end for my mother. As the disease got worsened, she forgot everything. Lost control of her body functions and finally, failed to recognize anyone except my wife who used to take care of her like a mother taking care of her baby. She used to feed her, change her diapers, dress her, give her bath, brush her hair, and also help her to sleep.
For my wife and me, she was like a little child. Our world revolved around her. We used to play with her, tease her. We even celebrated her 80th birth day with a grand cake cutting ceremony attended by my wife’s friends in Kolkata. It was a moment of happiness for her as she kept smiling at every one greeting her on her birth day without knowing whose birth day it was. So when one of the guests greeted her with a “wish you a happy birth day”, she promptly responded by wishing her the same!
It was interesting to know that even after destroying her brain cells; the disease could not take away the basic courtesies from her, acquired during her training as a Telephone Operator long long ago. They remained entrenched in her till her last breath. She never forgot to express her sincere thanks whenever we help her with little things.
The thud sound of a body hitting the ground rudely awakened us. We looked around to find my mother missing from her bed. In a swift motion my wife jumped from the bed and dashed out of the room to find her lay flat, face down on the floor motion less. Her fore head was badly injured. She was bleeding profusely from her lips due to the impact of the fall. But there was virtually no reaction from her. We physically lifted her and put her on the bed. My wife gently cleansed the wound and enquired whether it was hurting. She replied in affirmative. But there was no sign of pain in the face. No tears in her eyes. Just plain disoriented look, devoid of any feelings and emotions. The disease took away all her emotional feelings and also dried up the tear glands. Looking at her state I cried silently.
Oh God! I said to myself. Is this is my mother, who used to get tears in her eyes even for a faint discomfort? She was emotionally so sensitive that even a stern look, would bring her to tears. Such was her reputation for crying that my father used to tease her by calling her “Gangadhari”. Lady wearing river Ganges on her head.
The day she passed away and as her body was being carried in a “Hearse” van there were unexpected showers for few minutes as if the heavens have cried for her, as she forgot to cry.


Stewart Platform - Decentralized Active Damping
Table of Contents
The following decentralized active damping techniques are briefly studied:
- Inertial Control (proportional feedback of the absolute velocity): Section 1
- Integral Force Feedback: Section 2
- Direct feedback of the relative velocity of each strut: Section 3
1 Inertial Control
The Matlab script corresponding to this section is accessible here.
To run the script, open the Simulink Project, and type run active_damping_inertial.m
.
1.1 Identification of the Dynamics
stewart = initializeStewartPlatform(); stewart = initializeFramesPositions(stewart, 'H', 90e-3, 'MO_B', 45e-3); stewart = generateGeneralConfiguration(stewart); stewart = computeJointsPose(stewart); stewart = initializeStrutDynamics(stewart); stewart = initializeJointDynamics(stewart, 'type_F', 'universal_p', 'type_M', 'spherical_p'); stewart = initializeCylindricalPlatforms(stewart); stewart = initializeCylindricalStruts(stewart); stewart = computeJacobian(stewart); stewart = initializeStewartPose(stewart); stewart = initializeInertialSensor(stewart, 'type', 'accelerometer', 'freq', 5e3);
ground = initializeGround('type', 'rigid', 'rot_point', stewart.platform_F.FO_A); payload = initializePayload('type', 'none'); controller = initializeController('type', 'open-loop');
%% Options for Linearized options = linearizeOptions; options.SampleTime = 0; %% Name of the Simulink File mdl = 'stewart_platform_model'; %% Input/Output definition clear io; io_i = 1; io(io_i) = linio([mdl, '/Controller'], 1, 'openinput'); io_i = io_i + 1; % Actuator Force Inputs [N] io(io_i) = linio([mdl, '/Stewart Platform'], 1, 'openoutput', [], 'Vm'); io_i = io_i + 1; % Absolute velocity of each leg [m/s] %% Run the linearization G = linearize(mdl, io, options); G.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; G.OutputName = {'Vm1', 'Vm2', 'Vm3', 'Vm4', 'Vm5', 'Vm6'};
The transfer function from actuator forces to force sensors is shown in Figure 1.
1.2 Effect of the Flexible Joint stiffness and Actuator amplification on the Dynamics
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
stewart = initializeJointDynamics(stewart, 'type_F', 'universal', 'type_M', 'spherical'); Gf = linearize(mdl, io, options); Gf.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Gf.OutputName = {'Vm1', 'Vm2', 'Vm3', 'Vm4', 'Vm5', 'Vm6'};
We now use the amplified actuators and re-identify the dynamics
stewart = initializeAmplifiedStrutDynamics(stewart); Ga = linearize(mdl, io, options); Ga.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Ga.OutputName = {'Vm1', 'Vm2', 'Vm3', 'Vm4', 'Vm5', 'Vm6'};
The new dynamics from force actuator to force sensor is shown in Figure 2.
1.3 Obtained Damping
The control is a performed in a decentralized manner. The \(6 \times 6\) control is a diagonal matrix with pure proportional action on the diagonal: \[ K(s) = g \begin{bmatrix} 1 & & 0 \\ & \ddots & \\ 0 & & 1 \end{bmatrix} \]
The root locus is shown in figure 3.
1.4 Conclusion
We do not have guaranteed stability with Inertial control. This is because of the flexibility inside the internal sensor.
2 Integral Force Feedback
The Matlab script corresponding to this section is accessible here.
To run the script, open the Simulink Project, and type run active_damping_iff.m
.
2.1 Identification of the Dynamics with perfect Joints
We first initialize the Stewart platform without joint stiffness.
stewart = initializeStewartPlatform(); stewart = initializeFramesPositions(stewart, 'H', 90e-3, 'MO_B', 45e-3); stewart = generateGeneralConfiguration(stewart); stewart = computeJointsPose(stewart); stewart = initializeStrutDynamics(stewart); stewart = initializeJointDynamics(stewart, 'type_F', 'universal_p', 'type_M', 'spherical_p'); stewart = initializeCylindricalPlatforms(stewart); stewart = initializeCylindricalStruts(stewart); stewart = computeJacobian(stewart); stewart = initializeStewartPose(stewart); stewart = initializeInertialSensor(stewart, 'type', 'none');
ground = initializeGround('type', 'rigid', 'rot_point', stewart.platform_F.FO_A); payload = initializePayload('type', 'none'); controller = initializeController('type', 'open-loop');
And we identify the dynamics from force actuators to force sensors.
%% Name of the Simulink File mdl = 'stewart_platform_model'; %% Input/Output definition clear io; io_i = 1; io(io_i) = linio([mdl, '/Controller'], 1, 'openinput'); io_i = io_i + 1; % Actuator Force Inputs [N] io(io_i) = linio([mdl, '/Stewart Platform'], 1, 'openoutput', [], 'Taum'); io_i = io_i + 1; % Force Sensor Outputs [N] %% Run the linearization G = linearize(mdl, io); G.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; G.OutputName = {'Fm1', 'Fm2', 'Fm3', 'Fm4', 'Fm5', 'Fm6'};
The transfer function from actuator forces to force sensors is shown in Figure 4.
2.2 Effect of the Flexible Joint stiffness and Actuator amplification on the Dynamics
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
stewart = initializeJointDynamics(stewart, 'type_F', 'universal', 'type_M', 'spherical'); Gf = linearize(mdl, io); Gf.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Gf.OutputName = {'Fm1', 'Fm2', 'Fm3', 'Fm4', 'Fm5', 'Fm6'};
We now use the amplified actuators and re-identify the dynamics
stewart = initializeAmplifiedStrutDynamics(stewart); Ga = linearize(mdl, io); Ga.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Ga.OutputName = {'Fm1', 'Fm2', 'Fm3', 'Fm4', 'Fm5', 'Fm6'};
The new dynamics from force actuator to force sensor is shown in Figure 5.
2.3 Obtained Damping
The control is a performed in a decentralized manner. The \(6 \times 6\) control is a diagonal matrix with pure integration action on the diagonal: \[ K(s) = g \begin{bmatrix} \frac{1}{s} & & 0 \\ & \ddots & \\ 0 & & \frac{1}{s} \end{bmatrix} \]
The root locus is shown in figure 6 and the obtained pole damping function of the control gain is shown in figure 7.
2.4 Conclusion
The joint stiffness has a huge impact on the attainable active damping performance when using force sensors. Thus, if Integral Force Feedback is to be used in a Stewart platform with flexible joints, the rotational stiffness of the joints should be minimized.
3 Direct Velocity Feedback
The Matlab script corresponding to this section is accessible here.
To run the script, open the Simulink Project, and type run active_damping_dvf.m
.
3.1 Identification of the Dynamics with perfect Joints
We first initialize the Stewart platform without joint stiffness.
stewart = initializeStewartPlatform(); stewart = initializeFramesPositions(stewart, 'H', 90e-3, 'MO_B', 45e-3); stewart = generateGeneralConfiguration(stewart); stewart = computeJointsPose(stewart); stewart = initializeStrutDynamics(stewart); stewart = initializeJointDynamics(stewart, 'type_F', 'universal_p', 'type_M', 'spherical_p'); stewart = initializeCylindricalPlatforms(stewart); stewart = initializeCylindricalStruts(stewart); stewart = computeJacobian(stewart); stewart = initializeStewartPose(stewart); stewart = initializeInertialSensor(stewart, 'type', 'none');
ground = initializeGround('type', 'rigid', 'rot_point', stewart.platform_F.FO_A); payload = initializePayload('type', 'none'); controller = initializeController('type', 'open-loop');
And we identify the dynamics from force actuators to force sensors.
%% Options for Linearized options = linearizeOptions; options.SampleTime = 0; %% Name of the Simulink File mdl = 'stewart_platform_model'; %% Input/Output definition clear io; io_i = 1; io(io_i) = linio([mdl, '/Controller'], 1, 'openinput'); io_i = io_i + 1; % Actuator Force Inputs [N] io(io_i) = linio([mdl, '/Stewart Platform'], 1, 'openoutput', [], 'dLm'); io_i = io_i + 1; % Relative Displacement Outputs [m] %% Run the linearization G = linearize(mdl, io, options); G.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; G.OutputName = {'Dm1', 'Dm2', 'Dm3', 'Dm4', 'Dm5', 'Dm6'};
The transfer function from actuator forces to relative motion sensors is shown in Figure 8.
3.2 Effect of the Flexible Joint stiffness and Actuator amplification on the Dynamics
We add some stiffness and damping in the flexible joints and we re-identify the dynamics.
stewart = initializeJointDynamics(stewart, 'type_F', 'universal', 'type_M', 'spherical'); Gf = linearize(mdl, io, options); Gf.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Gf.OutputName = {'Dm1', 'Dm2', 'Dm3', 'Dm4', 'Dm5', 'Dm6'};
We now use the amplified actuators and re-identify the dynamics
stewart = initializeAmplifiedStrutDynamics(stewart); Ga = linearize(mdl, io, options); Ga.InputName = {'F1', 'F2', 'F3', 'F4', 'F5', 'F6'}; Ga.OutputName = {'Dm1', 'Dm2', 'Dm3', 'Dm4', 'Dm5', 'Dm6'};
The new dynamics from force actuator to relative motion sensor is shown in Figure 9.
3.3 Obtained Damping
The control is a performed in a decentralized manner. The \(6 \times 6\) control is a diagonal matrix with pure derivative action on the diagonal: \[ K(s) = g \begin{bmatrix} s & & \\ & \ddots & \\ & & s \end{bmatrix} \]
The root locus is shown in figure 10.
3.4 Conclusion
Joint stiffness does increase the resonance frequencies of the system but does not change the attainable damping when using relative motion sensors.
4 Compliance and Transmissibility Comparison
4.1 Initialization
We first initialize the Stewart platform without joint stiffness.
stewart = initializeStewartPlatform(); stewart = initializeFramesPositions(stewart, 'H', 90e-3, 'MO_B', 45e-3); stewart = generateGeneralConfiguration(stewart); stewart = computeJointsPose(stewart); stewart = initializeStrutDynamics(stewart); stewart = initializeJointDynamics(stewart, 'type_F', 'universal_p', 'type_M', 'spherical_p'); stewart = initializeCylindricalPlatforms(stewart); stewart = initializeCylindricalStruts(stewart); stewart = computeJacobian(stewart); stewart = initializeStewartPose(stewart); stewart = initializeInertialSensor(stewart, 'type', 'none');
The rotation point of the ground is located at the origin of frame \(\{A\}\).
ground = initializeGround('type', 'rigid', 'rot_point', stewart.platform_F.FO_A); payload = initializePayload('type', 'none'); controller = initializeController('type', 'open-loop');
4.2 Identification
Let’s first identify the transmissibility and compliance in the open-loop case.
controller = initializeController('type', 'open-loop'); [T_ol, T_norm_ol, freqs] = computeTransmissibility(); [C_ol, C_norm_ol, freqs] = computeCompliance();
Now, let’s identify the transmissibility and compliance for the Integral Force Feedback architecture.
controller = initializeController('type', 'iff'); K_iff = (1e4/s)*eye(6); [T_iff, T_norm_iff, ~] = computeTransmissibility(); [C_iff, C_norm_iff, ~] = computeCompliance();
And for the Direct Velocity Feedback.
controller = initializeController('type', 'dvf'); K_dvf = 1e4*s/(1+s/2/pi/5000)*eye(6); [T_dvf, T_norm_dvf, ~] = computeTransmissibility(); [C_dvf, C_norm_dvf, ~] = computeCompliance();


Open the WhatsApp chat that you want to analyze. Find the "Email Chat" action and send it to you.
Open the email that you sent in Step 1 and save the attached txt file. Note: We DON'T save any of your uploaded data.
Upload the text file that you saved in Step 2 on this website.


We all know that HTML document without CSS sucks. Stylize.css adds a set of CSS to the HTML markup to make it look much better and consistent across browsers.
Stylize.css adds styles to the semantic HTML markup. So use tags only and no classes, attributes, etc.
View it on Github | Demo | Download
Usage
<link rel="stylesheet" href="stylize.min.css" />
Else, you can also include the latest as shown below:
<link rel="stylesheet" href="https://raw.githubusercontent.com/vasanthv/stylize.css/master/stylize.min.css" />


This component is a direct wrapper for the Express.js app. Check out http://expressjs.com/en/4x/api.html#app for more information.
There's a few added functions to the res (response) object we get in express (http://expressjs.com/en/4x/api.html#res).
Use when you want to return a json success to the api. If you send a string, this function will package it into a json object.
| Name | Type | Description |
|---|---|---|
| data | Scalar || Object || Array |
The response data you want to send. |
Use when you want to send a 403 HTTP response to the UI with troubleshoot data.
| Name | Type | Description |
|---|---|---|
| errorMsg | Scalar || Object || Array |
Whatever error message data you want to send back to the UI. |
| stack | Scalar || Object || Array |
optional For use if you have a stacktrace you want to send back. |
Use when you want to send a 401 HTTP response to the UI with troubleshoot data.
| Name | Type | Description |
|---|---|---|
| errorMsg | Scalar || Object || Array |
Whatever error message data you want to send back to the UI. |
| stack | Scalar || Object || Array |
optional For use if you have a stacktrace you want to send back. |
Use when you want to send a 500 HTTP response to the UI with troubleshoot data.
| Name | Type | Description |
|---|---|---|
| errorMsg | Scalar || Object || Array || Error |
Whatever error message data you want to send back to the UI. You can also pass an Error class object. |
| stack | Scalar || Object || Array |
optional For use if you have a stacktrace you want to send back. If you send an Error object in errorMsg, the stacktrace will get pulled out automatically. |
Use when you want to send a 404 HTTP response to the UI with troubleshoot data.
| Name | Type | Description |
|---|---|---|
| errorMsg | Scalar || Object || Array |
Whatever error message data you want to send back to the UI. |
| stack | Scalar || Object || Array |
optional For use if you have a stacktrace you want to send back. |


{% extends 'base.html' %} {% load bootstrap3 %} {% block content %}
This Token has {{ token.tokenfind_set.count }} TokenFinds which will also be deleted.


16 teams set for Euro 2020 playoffs; draw to shape games
NYON, Switzerland — The 16-team lineup for the 2020 European Championship playoffs was confirmed Tuesday with a draw needed this week to decide which three nations join Iceland in the top-tier bracket.
The 16 teams will be divided into four brackets based on their placement in last year’s Nations League, with the winner in each advancing to next year’s tournament.
Single-game semifinals in each bracket will be played on March 26, with the four finals played five days later.
A UEFA draw on Friday will decide home advantage in the four playoff finals.
The final qualifying group games on Tuesday settled the second-tier League B playoffs: Bosnia-Herzegovina will host Northern Ireland, and Slovakia will host Ireland.
Iceland was the only team ranked high enough for the League A bracket that didn’t qualify directly for the tournament, meaning three teams that would otherwise have been in League C will be placed in that pot instead.
Those three will be taken from the quartet of Bulgaria, Hungary, Israel and Romania.
The fourth team among those will face Scotland in League C, which also includes Norway and Serbia.
Scotland, Romania and Hungary are among the 12 host countries for the 24-team tournament. Their reward for advancing would be at least two home games in the Euro 2020 group stage.
League D includes Georgia, Belarus, North Macedonia and Kosovo, four teams that have never reached a major tournament before.
Euro 2020 groups are drawn Nov. 30 in Bucharest, Romania, four months before the playoffs.
League A: Iceland vs. Bulgaria or Hungary or Israel or Romania, Bulgaria or Hungary or Israel or Romania vs Bulgaria or Hungary or Israel or Romania
League B: Bosnia-Herzegovina vs. Northern Ireland, Slovakia vs Ireland.
League C: Scotland vs. Bulgaria or Hungary or Israel or Romania, Norway vs. Serbia.
League D: Georgia vs. Belarus, North Macedonia vs. Kosovo.
© Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


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We use functions such as infix and prefix to define the symbols used in the language. Most languages have some notation for defining new symbols, such as variable names. In a very simple language, when we encounter a new word, we might give it a definition and put it in the symbol table. In a more sophisticated language, we would want a notion of scope, giving the programmer convenient control over the lifespan and visibility of a variable.
A scope is a region of a program in which a variable is defined and accessible. Scopes can be nested inside of other scopes. Variables defined in a scope are not visible outside of the scope.
We will keep the current scope object in the scope variable:
var scope;
original_scope is the prototype for all scope objects. It contains a define method that is used to define new variables in the scope. The define method transforms a name token into a variable token. It produces an error if the variable has already been defined in the scope or if the name has already been used as a reserved word:
var original_scope = { define: function (n) { var t = this.def[n.value]; if (typeof t === "object") { n.error(t.reserved ? "Already reserved." : "Already defined."); } this.def[n.value] = n; n.reserved = false; n.nud = itself; n.led = null; n.std = null; n.lbp = 0; n.scope = scope; return n; },
The find method is used to find the definition of a name. It starts with the current scope and will go, if necessary, back through the chain of parent scopes and ultimately to the symbol table. It returns symbol_table["(name")] if it cannot find a definition:
find: function (n) { var e = this; while (true) { var o = e.def[n]; if (o) { return o; } e = e.parent; if (!e) { return symbol_table[ symbol_table.hasOwnProperty(n) ? n : "(name)"]; } } },
The pop method closes a scope:
pop: function () { scope = this.parent; },
The reserve method is used to indicate that a name has been used as a reserved word in the current scope:
reserve: function (n) { if (n.arity !== "name" || n.reserved) { return; } var t = this.def[n.value]; if (t) { if (t.reserved) { return; } if (t.arity === "name") { n.error("Already defined."); } } this.def[n.value] = n; n.reserved = true; } };
We need a policy for reserved words. In some languages, words that are used structurally (such as if) are reserved and cannot be used as variable names. The flexibility of our parser allows us to have a more useful policy. For example, we can say that in any function, any name may be used as a structure word or as a variable, but not as both. Also, we will reserve words locally only after they are used as reserved words. This makes things better for the language designer because adding new structure words to the language will not break existing programs, and it makes things better for programmers because they are not hampered by irrelevant restrictions on the use of names.
Whenever we want to establish a new scope for a function or a block, we call the new_scope function, which makes a new instance of the original scope prototype:
var new_scope = function () { var s = scope; scope = object(original_scope); scope.def = {}; scope.parent = s; return scope; };


Our Goal : Save life through rappid respose ,relief and resilience bulding ,during
and after disaster
Friqa Champions Initiative works with children, families and their communities in disaster preparedness to
help reduce the impact of future disasters.
As the world faces an array of natural and man-made disasters, the needs of vulnerable populations are
evolving. We are also changing.
We are committed to helping children who are affected by disasters and will continue to do so. Before
disaster strikes, we will work with children to make sure they understand how they, and their families can
reduce their vulnerability to disasters.
During disasters, our staff will be in communities assisting families with their immediate needs and recovery
from the crisis. Following a disaster, we will continue to help children and their families rebuild their
lives.
Our child-focused disaster management will continue to give priority to children, especially the poorest and
most vulnerable, and empower them (together with their families and communities) to improve their well-being.
We see the child not in isolation, but as part of a family and a community. The quality of these relationships
is very important for the resilience and well-being of children.
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Areas of Focus
Food Distribution
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To report a disaster click on Nutaral disaster if it a natural caused else Man-made disaster


| src_dbi {dplyr} | R Documentation |
These functions have been deprecated; instead please use tbl()
directly on an DBIConnection
. See https://dbplyr.tidyverse.org/ for
more details.
src_mysql( dbname, host = NULL, port = 0L, username = "root", password = "", ... ) src_postgres( dbname = NULL, host = NULL, port = NULL, user = NULL, password = NULL, ... ) src_sqlite(path, create = FALSE)
dbname |
Database name |
host, port |
Host name and port number of database |
... |
for the src, other arguments passed on to the underlying
database connector, |
user, username, password |
User name and password. Generally, you should avoid saving username and password in your
scripts as it is easy to accidentally expose valuable credentials.
Instead, retrieve them from environment variables, or use database
specific credential scores. For example, with MySQL you can set up |
path |
Path to SQLite database. You can use the special path ":memory:" to create a temporary in memory database. |
create |
if |
An S3 object with class src_dbi
, src_sql
, src
.
if (require(dbplyr, quietly = TRUE)) { con <- DBI::dbConnect(RSQLite::SQLite(), ":memory:") copy_to(con, mtcars) # To retrieve a single table from a source, use `tbl()` mtcars <- con %>% tbl("mtcars") mtcars # You can also use pass raw SQL if you want a more sophisticated query con %>% tbl(sql("SELECT * FROM mtcars WHERE cyl == 8")) }


At GEKO we don’t believe travelling should be pricey. We want to open opportunities for all kinds of travellers, whether you are solo, a full time working professional, or a student. Giving people a bigger and better social platform to connect on. We aim to allow our members to swap their homes or rooms with each other, free of charge, and explore a new destination. GEKO will ensure your trip is safe and secure and will be there to assist whenever needed.
We at GEKO believe travelling shouldn’t be on hold just because the world is, there is never a time like now! People are itching to travel as many of us have been locked up in our homes working remotely for nearly a year. Why not allow people to change their scenery and when they finish working in the evenings explore a new destination? We want to help people keep their motivation and ensure peoples mental health taken into factor when working from home.
GEKO is currently members only due to the security checks that need to be carried out to ensure all holiday makers are safe and secure. If GEKO is for you then fill out our survey and we will get in touch with you.
We aim to trial GEKO on 15 individuals from LA, San Francisco, Austin, Chicago and New York City who are currently able to travel throughout the USA. We want to ensure any hiccups are sought out before launching the GEKO APP to the public.


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MoU on digitization, computation of gov't sectors signed
by MENACAIRO -21 November 2019:Prime Minister Dr Mostafa Madbouli Thursday attended the signing of a memorandum of understanding on implementing the digitization and computation project in all government sectors in a number of governorates as part of a plan to develop the governmental work methods in the entire state.
The ceremony was attended by Minister of Local Development Mahmoud Shaarawi and Minister of Communication and Information Technology Amr Talaat.
The step is part of the national role played by Telecom Egypt in supporting the state's strategic plan and implementing the directives of the political leadership as regards finalizing the digitization and computation process in all government sectors, Talaat said following the signing of the MoU


{% extends "dashboard/base_modal_confirm_delete.html" %} {% load i18n %} {% block action_url %}{% url 'dashboard:staff-delete' pk=staff.pk %}{% endblock %} {% block title %} {% blocktrans trimmed context "Modal delete group text" %} Delete staff member {{ staff }}? {% endblocktrans %} {% endblock %} {% block content %} {% blocktrans trimmed context "Modal delete group text" %}
Are you sure you want to delete staff member?
Deleting staff member also removes him from customer list and removes all his related data (orders, payment etc.).
We strongly recommend not deleting user accounts that were used for purchases (for example customer which was promoted with staff member status).
{{ staff }} has {{ orders }} orders.
{% endblocktrans %} {% endblock content %}


Contact Name
City
Country
Is Promoted
Maria Anders
Berlin
Germany
Ana Trujillo
México D.F.
Mexico
Antonio Moreno
México D.F.
Mexico
Thomas Hardy
London
UK


Dear friend I am writting this letter with due respect and heartful of tears since we have not known or met ourselves previously. I am asking for your assistance after getting your contact from a reliable source.I want to find out if it's possible for you to deal with individual as to investment. I came across your name and address and after praying over it, i decided to get across to you in respect of investment at my disposal.I will be so glad if you can allow me and lead me to the right channel towards your assistance to my situation now.I will make my proposal well known if I am given the opportunity. I would like to use this opportunity to introduce myself to you. Well I am PHIRI ABOA the only SON of MR. VINCENT ABOA, a diamond dealer from KENEMA in Sierra Leone. My father is now late,he died some months back during the last and current crisis in my country(SierraLeone). He was Killed by the rebels for refusing to join and sponsor them.main reason why I am contacting you now is to seek your assistance in the area of my future investment and also for a help hand over some huge amount of money in my possession. This money (US$7 Million)is deposited in a secuirty and finance company in Dakar,Senegal some years ago by my father and he made me the sole beneficiary . I am now asking you to stand on my behalf to claim the deposit from the security company and assist me on investing it as well in your country. I have made up my mind to offer you 25%of the total money and also map out 5% for any expensive that will be made during the transaction while the remaining will go into a productive investment. As I have mention earlier I will make the procedure to this issue to be well know to you,if I am given the opportunity to do so. Pls attach your direct and full information as you reply to this mail. Thanks and remain bless. PHIRI ABOA.


Software Release Guide (CWI CI Group)
Table of Contents
1 Introduction
This document consists of two parts. In the first part, we suggest useful tools, a good project structure, and some further guidelines, for sharing your software projects. In some sense, it is a checklist for your software package to make sure that it is easy to use for others, yet allows you to keep the freedom to develop your software further. The second part, selected topics, is a how-to guide for common tasks that you may need to perform while working on software.
These notes are not intended to teach you the basics of programming, source control, or for example using Linux. Instead, it is about everything you need after you become a capable programmer, when you start producing software that becomes useful for others.
One question we should answer before diving in deep, is why? Indeed, why should we put so much effort in our software. We are, after all, scientists – not software developers! We believe there are many reasons why we should take care in sharing our scientific software, some of them we list below.
- Collaborations within the group. Although everyone in the CI CWI group are individual researchers, our work has a lot in common. Most of us work on algorithms, target the same kind of data set, and often face the same problems. For example, more often than not, an issue that you are facing has already been tackled by someone before. Sharing our solutions means not having to reinvent the wheel. Furthermore, someone else their expertise may push your research further. Whether this means a new application of a neural network structure, combining algorithms together for even better reconstructions, or simply using a method you developed for the reconstruction of data recorded in our lab.
- Collaborations with other groups. The CI CWI group takes a unique position in research – somewhere in between the hardcore mathematics, and the more experimental side of imaging. With our software, we can help bridge the gap between experimentalists (who are often still using what we consider ancient methods), and algorithm developers (who can be out of touch with the demands and requirements of real-world imaging experiments), by working together with both sides of this spectrum.
- Publicity. Putting out software that is being used by others gives a lot of exposure to yourself as a researcher, and the group as a whole. For example, ASTRA has been an important part of our public identity.
- Real-world impact of your research. Unfortunately, writing a beautiful article outlining all the ins and outs of your method does not mean that it will also be picked up and used by others. Time is scarce for everyone in science, and anything beyond the most trivial algorithm will most likely not be reimplemented outside our own research group. Publishing software alongside an article makes it much easier for others to use and apply your methods.
- Scientific output. Slowly but surely, software itself is being recognized as scientific output. There are many journals and conferences dedicated to scientific software.
It can be intimidating to share your software with colleagues, let alone to release it to the public. We always want to clean up the code, and fix this last thing before we share it. However, especially since very few of us (if any) are trained as software engineers, it is not always clear what it means to develop good, or clean, software. This means that a lot of software is kept private until it is done, and regrettably this often means it is kept private indefinitely.
Hopefully, after reading the next section, you will be fully equipped to turn your software projects into clear, clean and usable packages. Our intention is to ease the transition of your project from something that is written primarily for yourself, to something others can also use.
2 Anatomy of a software project
Let us assume that you have developed an image reconstruction algorithm. You have designed your numerical experiments, and implemented them in Python (perhaps on top of the ASTRA toolbox).
In the most extreme case, the result is a single script. This script contains for example some classes, functions and some code that applies them to a data set.
Here, we will transform this script into a software package that is installable and usable by others, and maintainable and testable by you, the developer. We will take the following steps, which we will explain in detail later. (1) Update project structure. A software project consists of more than just the code. In should also include additional files, containing additional information for the user. (2) Add documentation. Since you developed the software, you know exactly how it works (and how it doesn't). Unfortunately, your users cannot read your mind. Minimally, you should provide some basic information on how to install and use your software, as well as what your users are allowed to do with it. (3) Add files for distribution. Before you can release your software into the wild, you need to add build files, and license. (4) Release the software. With a good structure, documentation and distribution files in place – we are ready for release. We add release notes to the project, and assign a version to the software. (5) Further development. Unfortunately, having users also means having some responsibility. Luckily, with the setup we recommend, you can continue developing your software without frustrating your users by following a small set of rules.
We will first discuss the steps, and it is not written to following along as you read, but rather to give an overview of what a minimal software package consists of. After this initial discussion, we will provide you with more detailed information on how to realize these steps for your software, as most of the steps can be automated.
2.1 Update project structure
First, we need to convert our code into a clean and predictable structure. The
recommended structure depends mainly on the programming language used. We only
consider Python software for now, but we will discuss other languages later. Our
hypothetical software package will be called hsp
, for hypothetical software
package.
We will first set up our directory as follows:
├── example │ └── run_on_data.py └── hsp ├── hsp.py └── __init__.py
Here, hsp.py
contains functions and classes, while run_on_data.py
contains
code applying them to data. Note in bigger projects you can split hsp.py
further into multiple files, grouping them together by functionality. The file
__init__.py
ties them together. There can also be multiple examples.
With this structure, we can use import hsp
from scripts residing at our root
folder. Later we will set our package up so that you can run this import
statement from anywhere.
2.2 Add documentation
There are two classes of documentation. First, there is usually a readme file
called README.md
, containing some basic information on the project. Second, detailed
documentation is provided on a separate webpage (hosted online or shipped
alongside the software). We will discuss a good way to set up initial
documentation.
The readme file is comparable to the metadata and abstract of an article. It should provide a potential user with all the information they need to decide whether to use your software. Like writing good abstracts, writing good readme documents is an art form. At the minimum, it should contain the following. (1) The name of your software package, together with a short (one or two sentences) summary of what it does. (2) Information on how to install the software. If it is a software library, it is usually a good idea to show a short example of code written on top of the library. (3) Information on the authors, the license, how to contribute, and potentially what article to cite if people use your software.
The more detailed documentation can contain the README as a landing page, but typically takes a more tutorial-like approach to describe the software. Usually, this means explaining how to do some example task with the software, or explaining the example code that is shipped alongside the library. The example code itself can also be considered documentation, and can usually be a stripped down version of the code you use yourself for e.g. numerical experiments. Furthermore, the documentation should provide an API overview, documenting all the classes and functions you expose to the user. This overview can be generated automatically from your code, using function signatures and optional docstrings that you may have written. For Python projects, we recommend using Sphinx to generate the documentation.
2.3 Add files for distribution
Next, you should allow yourself and your users to use your package by a simple
import
statement. For this, you can include a setup.py
for setuptools
,
allowing your users to do a pip install
. You can also add support for conda
by including some basic .yaml
files.
You should to include a LICENSE.md
file letting our users know what they are
allowed to do with our software. Typically, software written by our group is
released under the GPL.
2.4 Release the software
Releasing your software does not only mean that it is made available publicly.
It means to provide a fixed, frozen version of the code that has no known bugs,
and to assign it a version number. An initial version number can be v0.1.0
.
This is an important service to your potential users, because it gives them a predictable state of your code to fall back on. If you decide to further develop your code, you can do this freely without worrying about breaking your users' codes, because they can depend on this fixed release.
This brings us to another important file, the release notes, which are contained
in a file CHANGELOG.md
. For the initial release, this file does not much
information. Maybe a notice that it is the first public release, and the date at
which it is published. However, as you add, amend, and change your software, you
may want to release a next version, say v0.2.0
. In the release notes, you can
let the user know what has changed, and they should be able to see immediately
if they should expect any difficulties when upgrading to the new version.
We recommend using GitHub to publish your software. GitHub has a good mechanism for managing releases. Simply click on the releases button, and create a new release. Provide a tag, name, and some basic information – and GitHub will automatically mark the current state of the software as a new release. Next, if it is a Python project, you can upload the new release to Anaconda and/or PyPI.
2.5 Further development
Now that your software is out in the public, making big changes to your software probably means breaking your users code. As a courtesy to your users, whenever you add, change or remove something add a line to your change log describing what is new.
When releasing your new software, choose a new version number according to
semantic versioning. In brief, when choosing a new number vX.Y.Z
increment Z
if you are fixing incorrect behaviour, Y
if you are adding new functionality
but user code should not break, and X
if you make major changes that can break
user code. This gives your users a lot of information on the new release simply
by looking at the version number: they can always safely upgrade to your new
release if X
is unchanged, and should check what's new when either X
or Y
is increased.
2.6 Putting theory to practice: developing a Python a software package
Instead of performing all the steps outlined above manually, the easiest way to
set up your project correctly is by using the cookiecutter
template we
provide.
2.6.1 Set up software project structure
First, install cookiecutter
.
pip install -U cookiecutter
We provide a basic template for Python software packages. You can use this template to set up a new directory that contains all the files that were discussed in the previous sections, as well as a mock software project. You can then copy your code into the Python files that is generated by the template (for details on how to do this, see below). First, run the following command, and answer the questions that are asked.
cookiecutter https://github.com/cicwi/cookiecutter-cicwi.git
This will generate a directory with the name of your project. Next, you need to
set up a new GitHub repository. We assume you have made such a repository, and
that it resides at https://github.com/username/project, and that the name of
your project is hsp
. Next we set up Git.
cd hsp # replace with project name git init git remote add github https://github.com/username/project
To use the template, we require the installation of some dependencies and tools.
We assume that you are inside a conda
environment. You can install all the
dependencies by running the following command.
make install_dev install
2.6.2 Adding your code
Now that everything is set up, we are ready to copy your code into the project.
Typically, the code you want to share takes the form of a library. In
particular, there are some classes and functions that others can make use of.
Simply copy these classes and functions to hsp/hsp.py
. This file contains the
code for your library.
It is a good idea to add a minimal example of how to use your library. This
should somehow represent the core functionality of the software and should not
be more than a couple of lines of code. For this, you can edit the file
examples/getting_started.py
. Your application code, that for example applies
your library to data, can probably also be converted to an interesting example.
You can add more scripts to the examples/
directory showing more advanced
usage of your library.
2.6.3 Creating an initial release
Creating an initial release of your software consists of a number of simple steps. First, you should build the documentation by running:
make docs
and next add the files in docs/
to your repository. Edit the file
CHANGELOG.md
, and add a release date to v0.1.0
(change the YYYY-MM-DD).
Next, we will publish the release on GitHub. Push all your changes. Next, go to your GitHub repository page, and click on the button saying 0 releases, and next on create a new release. You are asked to provide three things
- The tag version should be v0.1.0.
- The Release title can be 'Initial release'.
- What to set as the description for this initial release is up to you, it can for example be one or two sentences about your project.
It may be a good idea to mark your project as a pre-release until your are
confident that it is widely usable. Finally, click Public release. GitHub will
now create a new tag (but not a new commit) permanently marking this version
of your code as v0.1.0
. Optionally, you can immediately pull this tag to your
local repository:
git pull --tags
Next, we create a conda
package:
make conda_package
If you have set up your account for Anaconda uploads, you can now upload the package, see the tail of the output of the previous command for instructions. This will provide potential users with an easy way to install your software.
2.6.4 Further development
As time progresses, you will most likely continue the development of your software package. We recommend to release a minimal version of your software early, and to release updates often. Updates to software packages come in roughly three forms (with changes ranges from small to big). (1) patches are fixes of previously released functionality that do not work according to specifications. (2) minor updates add additional functionality, but old programs written on top of your software should still function. (3) major updates are those that can break existing code, by changing or removing behaviour of a previous release.
As a service to your users, it is important to maintain CHANGELOG.md
. Here,
you document the main changes you have made since the previous release. This is
done in the Unreleased section, that after a while may look like this:
## [Unreleased] ### Added - Add a function `hsp.myfunction`. - Add another function `hsp.myotherfunction`. ### Removed - Remove obsolete function `hsp.myoldfunction`. ### Changed - Change default value for argument `arg` of `hsp.fn` to `None`.
This helps make releasing new version in the future much easier. If you decide
to make a new version (again, this can already be done after a single patch: it
is important not to hoard new functionality!) then it is like the initial
release with the following changes. (1) you need to decide on a new version
number vX.Y.Z
. This is done according to the biggest change you have made. If
this is a patch, Z
is increased by one compared to the previous version, if
it is a minor Y
is increased by one, otherwise X
is increased by one. This
can be done automatically with any one of the following three commands:
bumpversion patch # increase Z bumpversion minor # increase Y bumpversion major # increase X
Next, we update CHANGELOG.md
. Change [Unreleased]
to [X.Y.Z] - YYYY-MM-DD
.
Add a line at the end of the document that looks like this
[X.Y.Z]: https://github.com/username/project/compare/vA.B.C...vX.Y.Z
W here vA.B.C
is the version number of the previous release. This allows users
to click on the version number in the CHANGELOG and get an overview of all the
code changes since the previous release.
The remaining steps are as with the initial release. For a release Description you can simply copy the section of the CHANGELOG corresponding to the new version.


varnames = []
for tr in trace:
varnames_tmp = tr.columns
for v in varnames_tmp:
if v not in varnames:
varnames.append(v)
else:
v_tmp = []
for tr in trace:
v_tmp.extend(expand_variable_names(tr, varnames))
if varnames is None:
varnames = set.union(*[set(tr.columns) for tr in trace])
else:
varnames = set.union(*[set(expand_variable_names(tr, varnames)) for tr in trace])
if figsize is None:
figsize = (6, len(varnames) * 2)


"Behold!" is the traditional caption for this image, but that's just a snotty
mathemetician's way of saying "I worked out this algebra before you did!"
So: let the length of the sides of the whole image be A. The image is square.
Let the side length of the red square be B. The blue triangle is a right triangle.
It has sides of length A (on the outside), C (shortest), and D.
Cleverly, this diagram is drawn so that D = B + C. Any right triangle can be
have this diagram drawn about it. The Pythagorean theorem, for the blue triangle, is AxA = CxC + DxD.
The area of the big square is AxA. The area is also the area of the red square plus
4 of the blue triangles. The area of a triangle is .5x base x height. For a right triangle,
you can use either side touching the right angle as the height.
So:
AxA = BxB + 4x.5(CxD)
AxA = BxB + 2(CxD)
AxA = (D-C)x(D-C) + 2xCxD
AxA = DxD - 2xCxD + CxC + 2xCxD
AxA = CxC + DxD
"Behold", indeed.
Please look at the source code of this page for more information.


{% extends "layouts/sandbox/single.html" %}
{%- block dataMode -%}javascript{%- endblock -%}
{%- block content -%}
var operation1 = 5 / 4;
sandbox.log(operation1 == true);
var operation2 = 3 + 2;
sandbox.log(operation2 == 6);
var operation3 = 21 * 6;
sandbox.log(operation3 == 3);
var operation4 = 3 * 2;
sandbox.log(operation4 == 5);
var operation5 = 3 + 2;
sandbox.log(operation5 != 5);
{%- endblock -%}


{% extends "dashboard.html" %}
{% set active_page = "about" %}
{% set page_title = "About" %}
{% block dashboard %}
{% include "homepage_blocks/pool_details.html" %}
{% include "homepage_blocks/payout_currencies.html" %}
{% include "homepage_blocks/payout_convert_info.html" %}
{% include "homepage_blocks/features.html" %}
{% endblock %}


MISCONDUCT
1. A student is guilty of misconduct if she/he:
1.1 intentionally or negligently contravenes or subverts, or attempts to contravene or subvert, or assists,
encourages or persuades any other person to contravene or subvert a code, regulation, rule or instruction of the
University;
1.2 refuses or fails to comply with a lawful instruction or request of an employee of
the University authorised
to give such instruction or make such request, or acts contrary to such instruction or request;l
1.3 commits any statutory or common law crime whilst on the premises of the University;
1.4 intentionally or negligently misuses, damages, defaces, destroys or alienates, or without authorisation,
uses any building and/or removes furniture, equipment, electronic equipment, vehicle, notes, documents or any other
thing owned or controlled by the University or by any employee of the University, or by any registered student of the
University for purposes other than official University business;
1.5 intentionally or negligently mismanages and/or misappropriates funds of the
University;
1.6 uses abusive or offensive language when engaging with university employees during official university business
ignoring common courtesy and etiquette, or during a meeting, conference or any gathering organised by or whilst
representing the
University;
1.7 uses confidential information without authorisation;
1.8 introduces intoxicating liquor onto the premises of the University l
without the consent of the Principa
(or a person duly authorised by the Principal) or management of the regional centre, or consumes or abuses
liquor and/or is under the influence of such liquor while on the premises of the University;l
1.9 introduces an illegal dependence-producing drug (as defined in section 1 of the
Drug Trafficking Act, 1992) onto the premises of the University, or is found to be in
possession of such illegal
substance or is under the influence of such substance whilst on the premises of the University;
1.10 without proper authorisation:
1.10.1 brings onto or stores on the premises of the University a firearm, other dangerous weapon, fuel
that cannot reasonably be shown to be required for the operation of a motor vehicle or any explosive device; or
1.10.2 allows or arranges for the afore going (as per paragraph 1.8.1) to be brought onto or stored on the premises
of the University;
1.11 sexually or otherwise harasses any person (as defined in the Sexual Harassment Policy (students) and the
Protection from Harassment Act, 17 of 2011) whilst on the University premises;
1.12 acts in a racist manner towards any person whilst on the University premises;
1.13 commits an indecent act on the premises of the University;
e University, seeks to mislead or deceive the examiner or the examination officer.


--- layout: page title: "About" description: "Why use Project Pages?" header-img: "img/about-bg.jpg" ---
Project Pages is a research blog tool that allows you to quickly show your latest results to an advisor, collaborators or your mom.


40€-80€ /night
WIRELESS 400m DOGS20€ - 80€
WIRELESS 50m DOGS70€ - 150€
by Owner name | Sept 16th, 2012 | 3 CommentsDetails


Main Page
Modules
Data Structures
Defines
GATT Characteristic Extended Properties Bit Fields
Defines
#define
GATT_EXT_PROP_RELIABLE_WRITE
0x0001
Permits reliable writes of the Characteristic Value.
#define
GATT_EXT_PROP_WRITABLE_AUX
0x0002
Permits writes to the characteristic descriptor.
Generated by
1.7.1


Augmented Reality is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual, auditory, haptic, somatosensory and olfactory.
We have created an Augmented Reality based on the theme: "Who done it?". This was develped with the help of Unite AR and Python.


Project 2: Alternative Fuel 1973 Chevy Blazer
Project 1 was my 5.0 V8 4Runner conversion
so now it's time to start thinking about the next project. At this
point I'm in the planning stage, but here's the basic outline of what I
want to do. I still don't have enough information to begin acquiring the parts for this project, so If you are familiar with any of this information or have
any pointers, _PLEASE_ let me know. Finding this sort of information
is downright hard!
- Build a 1973 Chevy Blazer from the ground up. (Making sure
the frame is strong and there's absolutely no rust.)
- 3" to 6" lift with 33" to 35" tires.
- 5 speed
- Running gear out of a 3/4 or 1 ton Chevy truck from the mid 90s
or potentially hand pick components for maximum strength
- Base the engine on a Chevy 350 (LT1 or LT5? ...late model fuel injected)
- Dual fuel configuration:
- Conventional gasoline via stock fuel injection
- Some form of alternative fuel, possibly CNG (Compressed Natural Gas)
I would like the alternative fuel to be delivered via fuel injectors
as well; carbs are just icky. This should be TPI not TBI! This
is where I'm really weak on information, but obviously the most
important for the project.
- Possibly low pressure super charger or turbo to increase
compression slightly to compensate for the alternative fuel. (Still
need to do a lot more research on this one.)
- Replace interior with a late 90s interior from a chevy truck
or blazer( whatever is the closest fit) I don't like the old
interiors, but I really like the body on these trucks.
- Full roll cage in the cab
Status:
I'm still in the planning stage. I'm going to need to graduate, and get a lot
more information on the fuel delivery system before I can start working on this
project.
If you have any information that you think might help me in this
project please let me know<EMAIL_ADDRESS>My goal once
completing this swap is to completely document the process on a web
page so others can convert their vehicles as well.
$Id: alt-fuel-truck.html,v 1.1 1998/08/04 05:38:55 dhiltgen Exp $
( )
as of 03/18/99


TTBOX
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Brendan Kim
About Me
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Portfolio
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© Copyright 2017 Brendan Kim


My most recent project is a random color palette generator. I presented on it as well as the history of colors in the programming world. I used JavaScript as well as HTML to make the generator. It creates a randomly generated, non-coordinated palette of 5 different colors. To expand off of this, I will show the hex code each color is as it generates and maybe figure out a way to make the colors go together.
My project was a English to Spanish/Spanish to English translator in Python. I worked on this project with Leila last year. We used dictionary APIs from Merriam Webster to create a translator that will take a word in one language and translate it to the other language. As an expanding point from that, we would have started to try and make our translator translate whole sentences or phrases.


Jigsaw
How To
Play
Instructions
Drag and drop the puzzle pieces into the correct slot.
Once you have them in the correct order, you win!
Play!
You Won!
Congratulations!


1. Simple GET call
2. GET call with parameters
3. GET call with JSON response
4. GET call with timeout
5. GET call with custom headers
6. GET call with transformation functions
7. POST call with parameters and data
8. PUT call with parameters and data
9. DELETE call with parameters
10. HEAD call with parameters


LASER: Edit Mode
English instructions
説明（日本語）
Problems
Please wait for the page to load, or enable JavaScript to run.
Number of rows:
Number of cols:
.3..........1...... ................... ................... ................... ...............1..2 ................... .........2.....2... ................... ................... ................... ................... .....4............. ...................
Pastebin
or the like may be a convenient way to share created puzzles...
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ver 20140923. You can view the
current source in GitHub
. © 2012-2014 yybtcbk, some rights reserved under the
MIT License
.
These apps were compatible with the newest versions of Mozilla Firefox, Google Chrome, and Microsoft Internet Explorer, at the date of publishing.
Please send any queries to


- Drag and drop a multiframe image file or a set of single frame images.
- Drag and drop a segmentation object in the space of those images.
Ready for images...
This example demonstrates display of DICOM images and SEG overlays.
Go back to the Examples pageReady for images...


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October 24, 2019
The Post’s salary guide shows each university employee’s salary in 2019 in the table below. The table shows information such as the specific salary, organization and title of each employee.
The spreadsheet reflects the amount for 12-month employees, July 1 to June 30, who earn a salary based on the fiscal year and for 9-month employees, Aug. 16 to May 30, who earn a salary based on the academic year, Shelly Bean, Ohio University Public Records Compliance Coordinator, said in an email.
The data behind this table is public data that was provided to The Post in a Microsoft Excel spreadsheet. The Post has cleaned up the data by filling in empty cells with “N/A” and removing codes in front of organization names. The data is also ordered from the highest to lowest salary. Anyone can request this same dataset from Ohio University’s Office of Legal Affairs under the open records law, section 149.43 of the Ohio Revised Code, the Open Records Act.
The reason why we have decided to publish this information is to provide these numbers to readers. Students, alumni and others within the Athens community have the right to know this information, and The Post will continue to hold Ohio University accountable with our salary guide. Each year, the salaries of OU’s employees will be updated within this easy-to-use database.
Use the search bar below to find the name, organization, title(s) and salaries and click on the arrow buttons beside column names to filter specific records.
Want to see the data for yourself? Download the 2015-2019 salary data here.
© Copyright 2019, The Post, Athens, OH