O, to be in England
Now that April's there.
And whoever wakes in England
Sees, some morning, unaware,
That the lowest boughs and the brushwood sheaf
Round the elm-tree bole are in tiny leaf,
While the chaffinch sings on the orchard bough
In England — now!
And after April, when May follows,
And the whitethroat builds, and all the swallows!
Hark, where my blossom'd pear-tree in the hedge
Leans to the field and scatters on the clover
Blossoms and dewdrops — at the bent spray's edge —
That's the wise thrush; he sings each song twice over,
Lest you should think he never could recapture
The first fine careless rapture!
And though the fields look rough with hoary dew,
All will be gay when noontide wakes anew
The buttercups, the little children's dower
— Far brighter than this gaudy melon-flower!
Nobly, nobly Cape Saint Vincent to the North-west died away;
Sunset ran, one glorious blood-red, reeking into Cadiz Bay;
Bluish 'mid the burning water, full in face Trafalgar lay;
In the dimmest North-east distance dawn'd Gibraltar grand and
gray;
'Here and here did England help me: how can I help England?'
— say,
Whoso turns as I, this evening, turn to God to praise and pray,
While Jove's planet rises yonder, silent over Africa.
Round the cape of a sudden came the sea,
And the sun look'd over the mountain's rim:
And straight was a path of gold for him,
And the need of a world of men for me.
All's over, then: does truth sound bitter
As one at first believes?
Hark, 'tis the sparrows' good-night twitter
About your cottage eaves!
And the leaf-buds on the vine are woolly,
I noticed that, to-day;
One day more bursts them open fully
— You know the red turns gray.
To-morrow we meet the same then, dearest?
May I take your hand in mine?
Mere friends are we, — well, friends the merest
Keep much that I resign:
For each glance of the eye so bright and black,
Though I keep with heart's endeavour, —
Your voice, when you wish the snowdrops back,
Though it stay in my soul for ever! -
Yet I will but say what mere friends say,
Or only a thought stronger;
I will hold your hand but as long as all may,
Or so very little longer!
I said — Then, dearest, since 'tis so,
Since now at length my fate I know,
Since nothing all my love avails,
Since all, my life seem'd meant for, fails,
Since this was written and needs must be —
My whole heart rises up to bless
Your name in pride and thankfulness!
Take back the hope you gave, — I claim
Only a memory of the same,
— And this beside, if you will not blame;
Your leave for one more last ride with me.
My mistress bent that brow of hers,
Those deep dark eyes where pride demurs
When pity would be softening through,
Fix'd me a breathing-while or two
With life or death in the balance: right!
The blood replenish'd me again;
My last thought was at least not vain:
I and my mistress, side by side
Shall be together, breathe and ride,
So, one day more am I deified.
Who knows but the world may end to-night?
Hush! if you saw some western cloud
All billowy-bosom'd, over-bow'd
By many benedictions — sun's
And moon's and evening-star's at once —
And so, you, looking and loving best,
Conscious grew, your passion drew
Cloud, sunset, moonrise, star-shine too,
Down on you, near and yet more near,
Till flesh must fade for heaven was here! —
Thus leant she and linger'd — joy and fear!
Thus lay she a moment on my breast.
Then we began to ride. My soul
Smooth'd itself out, a long-cramp'd scroll
Freshening and fluttering in the wind.
Past hopes already lay behind.
What need to strive with a life awry?
Had I said that, had I done this,
So might I gain, so might I miss.
Might she have loved me? just as well
She might have hated, who can tell!
Where had I been now if the worst befell?
And here we are riding, she and I.
Fail I alone, in words and deeds?
Why, all men strive and who succeeds?
We rode; it seem'd my spirit flew,
Saw other regions, cities new,
As the world rush'd by on either side.
I thought, — All labour, yet no less
Bear up beneath their unsuccess.
Look at the end of work, contrast
The petty done, the undone vast,
This present of theirs with the hopeful past!
I hoped she would love me; here we ride.
What hand and brain went ever pair'd?
What heart alike conceived and dared?
What act proved all its thought had been?
What will but felt the fleshly screen?
We ride and I see her bosom heave.
There's many a crown for who can reach.
Ten lines, a statesman's life in each!

They scratch his name on the Abbey-stones.
My riding is better, by their leave.
What does it all mean, poet? Well,
Your brains beat into rhythm, you tell
What we felt only; you express'd
You hold things beautiful the best,
And pace them in rhyme so, side by side.
'Tis something, nay 'tis much: but then,
Have you yourself what's best for men?
Are you — poor, sick, old ere your time —
Nearer one whit your own sublime
Than we who never have turn'd a rhyme?
Sing, riding's a joy! For me, I ride.
And you, great sculptor — so, you gave
A score of years to Art, her slave,
And that's your Venus, whence we turn
To yonder girl that fords the burn!
You acquiesce, and shall I repine?
What, man of music, you grown gray
With notes and nothing else to say,
Is this your sole praise from a friend,
'Greatly his opera's strains intend,
Put in music we know how fashions end!'
I gave my youth: but we ride, in fine.
Who knows what's fit for us? Had fate
Proposed bliss here should sublimate
My being — had I sign'd the bond —
Still one must lead some life beyond,
Have a bliss to die with, dim-descried.
This foot once planted on the goal,
This glory-garland round my soul,
Could I descry such? Try and test!
I sink back shuddering from the quest
Earth being so good, would heaven seem best?
Now, heaven and she are beyond this ride.
And yet — she has not spoke so long!
What if heaven be that, fair and strong
At life's best, with our eyes upturn'd
Whither life's flower is first discern'd,
We, fix'd so, ever should so abide?
What if we still ride on, we two
With life for ever old yet new,
Changed not in kind but in degree,
The instant made eternity, —
And heaven just prove that I and she
Ride, ride together, for ever ride?
The year's at the spring,
And day's at the morn;
Morning's at seven;
The hill-side's dew-pearl'd;
The lark's on the wing;
The snail's on the thorn;
God's in His heaven —
All's right with the world!
You'll love me yet! — and I can tarry
Your love's protracted growing:
June rear'd that bunch of flowers you carry,
From seeds of April's sowing.
I plant a heartful now: some seed
At least is sure to strike,
And yield — what you'll not pluck indeed,
Not love, but, may be, like.
You'll look at least on love's remains,
A grave's one violet:
Your look? — that pays a thousand pains.
What's death? You'll love me yet!


Interface: Queue
interface Queue<typedef t>
Interface to a FIFO list (queue) that contains items
of a specific type. The queue has a maximum size.
- Author:
-
Philip Levis
-
Kyle Jamieson
- Date:
-
$Date: 2008-06-04 03:00:31 $
Commands
command t dequeue()
command t element(uint8_t idx)
command bool empty()
command error_t enqueue(t newVal)
command t head()
command uint8_t maxSize()
command uint8_t size()
Commands - Details
dequeue
command t dequeue()
- Returns:
-
't ONE' The head of the queue.
element
command t element(uint8_t idx)
- Parameters:
-
index
- - the index of the element to return
- Returns:
-
't ONE' the requested element in the queue.
empty
command bool empty()
- Returns:
-
Whether the queue is empty.
enqueue
command error_t enqueue(t newVal)
- Parameters:
-
't ONE newVal' - the element to enqueue
- Returns:
-
SUCCESS if the element was enqueued successfully, FAIL
if it was not enqueued.
head
command t head()
- Returns:
-
't ONE' The head of the queue.
maxSize
command uint8_t maxSize()
- Returns:
-
The maximum queue size.
size
command uint8_t size()
- Returns:
-
The number of elements in the queue.


About Me
Welcome to my portfolio! I am currently enrolled in University of Denver's Full Stack Web Developer cirtificate program and I am expected to graduate October 2021. Additonally, I have my bachelors degree in Political Science and a minor in English Litature from University of Colorado, Boulder. Sko Buffs!
Previously, I worked at a tech start-up as a workforce management analyst. Where I forcasted staffing and made intraday changes to meet company service level goals. Additionally, I worked to create hiring plans to maintain staff to meet service level goals and call quality.
I decided to make a career change to work in a field that allows for more creativity. While allowing me to continue to use my strategic thinking and problem solving skills. I look forward to being an ever evolving developer that can create web applications that preform effortlessly and efficiently.


All Active Applications.
{{job.job.practice.practice_city}}, {{job.job.practice.practice_province}}
All Confirmed Applications.
Search for a booked Job based on Practice Name or City.
Here you will be shown a live preview of the filtered booked jobs you searched for.
#{{completedJobs.number}}
All completed Engagements.
Search for a completed Job based on Practice Name or City.
Here you will be shown a live preview of the filtered completed jobs you searched for.
#{{completedJobs.number}}


Adding features to a simple Blazor MVVM client with composition This is the third article of a series that details one way to implement the MVVM pattern in client side Blazor. If you would like to start…
Adding features to a simple Blazor MVVM client with composition This is the third article of a series that details one way to implement the MVVM pattern in client side Blazor. If you would like to start…
[question] choosing between class and struct · Issue #12489 · dotnet/runtime here has a docment write in 2008 : https://docs.microsoft.com/en-us/dotnet/standard/design-guidelines/choosing-between-class-and-struct it suggest ： X AVOID defining a struct unless the type has al...
Mocking .NET Without Hurting Its Feelings - Musing, Rants & Jumbled Thoughts of John M. Wright This page is for a talk I'm presenting at various technical conferences and groups.
MY EQUIPMENT BREAKS? | DICEY DUNGEONS We are playing as the inventor but all our gadgets and items we make have durability! ▬▬▬▬▬ Twitter: https://twitter.com/Angory_Tom Patreon: https://www.patreon.com/AngoryTom Twitch: https://www.twitch.tv/angorytom Reddit: https://www.reddit.com/r/Yo...
Allow cookies with spaces in the name by PaitoAnderson · Pull Request #36566 · dotnet/corefx Fixes #36189
Become a Dev Rockstar by Learning About your Users with Visual Studio App Center and Azure | App Center Blog This is a guest post by Sunny Mukherjee. As a customer of Visual Studio App Center, you linked your code repository, configured your first mobile build definitions, committed your code, watched your builds in real-time, and installed your mobile app on re...
Update Razor to 1.0.0-alpha3 by NTaylorMullen · Pull Request #2974 · OmniSharp/omnisharp-vscode At a high level this update adds support for: ASP.NET Core 3.0 preview 4 support Blazor/Razor Components TagHelpers Razor diagnostics Report an issue wizard More OS platform support Lots of bug fi...
tmds/Tmds.Systemd .NET Core library for interacting with systemd. Contribute to tmds/Tmds.Systemd development by creating an account on GitHub.
Steam Quirks For Developers - a post on Tom Francis' blog Talking to people at GDC and Rezzed, especially people just starting in game dev, made me realise I’ve accumulated a load of non-obvious knowledge about how Steam works and how best to use it. Info like this tends to get passed around between established ...
GitHub Extension for Visual Studio The easiest way to connect to your GitHub repositories in Visual Studio


---
layout: post
title: The Old Idea of Fog Computing
date: '2012-07-04T03:27:00.000+09:00'
author: Joshua James
tags:
- Threats
- Cloud Computing
- Discussion
modified_time: '2012-07-09T04:13:45.811+09:00'
blogger_id: tag:blogger.com,1999:blog-2701259639305045003.post-6688583349797282550
---
http://www.wired.com/dangerroom/2012/07/fog-computing/all/
Fog is low-lying clouds, so I assumed Fog computing was a clever use of Cloud computing as some sort of lower-level of abstraction.


Modified Neft Gun
Note: This nerf gun is not really moified
Makes it easier to shoot target
Have a better grip of the nerft gun when you shoot
An optical sighting device that is based on a refracting telescope
Note: This nerf gun is not really moified
Makes it easier to shoot target
Have a better grip of the nerft gun when you shoot
An optical sighting device that is based on a refracting telescope


{* this email is sent to the werkgevers contactpersons who has rights to approve tsc when candidate set status of tsc for approval *}
[t]Dear {$name|escape},[/t]
[t]Candidate {$cndName|escape} set timesheet from {$h.period_start} to {$h.period_end} to status for approval.[/t]
[t]You can check and approve this timesheet by following link.[/t] {$approveLink}
[t]Kind regards, {$client.klant} {$website}[/t]
[t]Remark: this e-mail message has been automatically generated[/t]


Amazon Elastic Container Service TaskDefinition HealthCheck
The
HealthCheck
property type specifies a container health check. Health check
parameters that are specified in a container definition override any Docker health
checks
that exist in the container image (such as those specified in a parent image or from
the
image's Dockerfile).
HealthCheck
is a property of the Amazon Elastic Container Service TaskDefinition ContainerDefinition property
type.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Command" : [
String
, ... ] , "Interval" :Integer
, "Retries" :Integer
, "StartPeriod" :Integer
, "Timeout" :Integer
}
YAML
Command -
String
Interval:Integer
Retries:Integer
StartPeriod:Integer
Timeout:Integer
Properties
Command
-
A string array representing the command that the container runs to determine if it is healthy. The string array must start with CMD to execute the command arguments directly, or CMD-SHELL to run the command with the container's default shell. For example:
[ "CMD-SHELL", "curl -f http://localhost/ || exit 1" ]
An exit code of 0 indicates success, and non-zero exit code indicates failure.
Required: Yes
Type: List of String values
Update requires: Replacement
Interval
-
The time period in seconds between each health check execution. You may specify between 5 and 300 seconds. The default value is 30 seconds.
Required: No
Type: Integer
Update requires: Replacement
Retries
-
The number of times to retry a failed health check before the container is considered unhealthy. You may specify between 1 and 10 retries. The default value is 3 retries.
Required: No
Type: Integer
Update requires: Replacement
StartPeriod
-
The optional grace period within which to provide containers time to bootstrap before failed health checks count towards the maximum number of retries. You may specify between 0 and 300 seconds. The startPeriod is disabled by default.
Note
If a health check succeeds within the startPeriod, then the container is considered healthy and any subsequent failures count toward the maximum number of retries.
Required: No
Type: String
Update requires: Replacement
Timeout
-
The time period in seconds to wait for a health check to succeed before it is considered a failure. You may specify between 2 and 60 seconds. The default value is 5 seconds.
Required: No
Type: Integer
Update requires: Replacement
See Also
-
HealthCheck in the Amazon Elastic Container Service API Reference


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Post edited 2 x times, last by
Topicstarter
pbguid on mouse hover (Live Scoreboard) using GGC-Stream or another service if exist
Using
MyPB GUID
- 762d443610fc46d0e0b616bb2faa40d9
Battlefield 4
http://www.ggc-stream.net/search/server/guid/gid/762d443610fc46d0e0b616bb2faa40d9/game/41
Battlefield 3
http://www.ggc-stream.net/search/server/guid/gid/762d443610fc46d0e0b616bb2faa40d9/game/38
MoHW
http://www.ggc-stream.net/search/server/guid/gid/762d443610fc46d0e0b616bb2faa40d9/game/39
Why?
Useful to ban.
Useful to share.
Useful to reports.
Useful to manage.


Gets a service's full configuration, e.g. username, path, failure actions, etc.
Get-ServiceConfiguration [-Name] <String> [-ComputerName <String>] [<CommonParameters>]
The .NET ServiceController
object only returns basic information about a service. This function returns all the other service configuration as a Carbon.Service.ServiceInfo
object, which has the following properties:
DelayedAutoStart
: A boolean value indicating if the service starts automically delayed. This property was added in Carbon 2.5.Description
: The service's description.ErrorControl
: A Carbon.Service.ErrorControl
value that indicates the severity of the error when the service fails to start.FailureProgram
: The program to run when the service fails.FirstFailure
: A Carbon.Service.FailureAction
value indicating what will happen after the service's first failure.LoadOrderGroup
: The name of the load order group this service loads in.Name
: The name of the service.Path
: The path to the service executable (with arguments).RebootDelay
: The number of milliseconds after boot to wait before the service starts.RebootDelayMinutes
: RebootDelay
expressed in minutes.ResetPeriod
: How often, in seconds, to reset the service's failure count to 0.ResetPeriodDays
: ResetPeriod
expressed in number of days.RestartDelay
: The number of milliseconds to wait before restarting the service after it fails.RestartDelayMinutes
: RestartDelay
expressed in minutes.RunCommandDelay
: The number of milliseconds to wait after a service fails before running the failure program.RunCommandDelayMinutes
: RunCommandDelay
as expressed/converted in minutes.SecondFailure
: A Carbon.Service.FailureAction
value indicating what will happen after the service's second failure.StartType
: A Carbon.Service.StartType
value indicating how and when the service should be started.TagID
: The service's tag ID. This is the order the service will start in its load group.ThirdFailure
: A Carbon.Service.FailureAction
value indicating what will happen after the service's third failure.UserName
: The name of the identity the service runs as.You can load a specific service using its name, or pipe in ServiceController
objects.
In addition to this function, Carbon also adds this information as extended type data properties onto the ServiceController
class. To see it,
Get-Service | Get-Member
The user running this function must have QueryConfig
, QueryStatus
, and EnumerateDependents
permissions on the service. Use Grant-ServicePermission
to grant these permissions.
This function is new in Carbon 1.8.
| Name | Type | Description | Required? | Pipeline Input | Default Value |
|---|---|---|---|---|---|
| Name | String | The name of the service. |
true | true (ByPropertyName) | |
| ComputerName | String | The name of the computer where the service lives. |
false | true (ByPropertyName) |
Carbon.Service.ServiceInfo.
Get-Service | Get-ServiceConfiguration
Demonstrates how you can pipe in a ServiceController
object to load the service. This works for services on remote computers as well.
Get-ServiceConfiguration -Name 'w3svc'
Demonstrates how you can get a specific service's configuration.
Get-ServiceConfiguration -Name 'w3svc' -ComputerName 'enterprise'
Demonstrates how to get service configuration for a service on a remote computer.


Shared code between AMQP based openstack.common.rpc implementations.
The code in this module is shared between the rpc implemenations based on AMQP. Specifically, this includes impl_kombu and impl_qpid. impl_carrot also uses AMQP, but is deprecated and predates this code.
Bases: nova.openstack.common.rpc.common.Connection
The class that is actually returned to the caller of create_connection(). This is essentially a wrapper around Connection that supports ‘with’. It can also return a new Connection, or one from a pool. The function will also catch when an instance of this class is to be deleted. With that we can return Connections to the pool on exceptions and so forth without making the caller be responsible for catching them. If possible the function makes sure to return a connection to the pool.
Caller is done with this connection.
Bases: eventlet.pools.Pool
Class that implements a Pool of Connections.
Bases: object
Calls methods on a proxy object based on method and args.
Bases: nova.openstack.common.rpc.common.CommonRpcContext
Context that supports replying to a rpc.call
Sends a message on a topic and wait for a response.
Sends a message on a topic without waiting for a response.
Sends a message on a topic to a specific server.
Create a connection
Sends a message on a fanout exchange without waiting for a response.
Sends a message on a fanout exchange to a specific server.
Sends a reply or an error on the channel signified by msg_id.
Failure should be a sys.exc_info() tuple.
Make a call that returns multiple times.
Sends a notification event on a topic.
Pack context into msg.
Values for message keys need to be less than 255 chars, so we pull context out into a bunch of separate keys. If we want to support more arguments in rabbit messages, we may want to do the same for args at some point.
Unpack context from msg.


--- layout: post title: pink beet frosting recipe date: 2010-02-15 17:52:11.000000000 -05:00 type: post published: true status: publish categories: - frosting - recipes tags: - beets - frosting - pink - recipe meta: _oembed_3c43f84e1da5a19e3ec6a6861f9a096b: author: login: sophie email<EMAIL_ADDRESS>display_name: Pika first_name: '' last_name: '' ---
Pink Beet Frosting
-1 stick margarine (or butter), softened
-2 cups confectioner's sugar
-2 tb beet puree (cooked or canned beets blended with water to the consistency of applesauce)
- 1 tsp vanilla
Cream butter until soft and fluffy with a mixer or a fork. Alternately add sugar and beet puree, beating well after each addition. Add vanilla and beat until light and fluffy, approx. 3 min. using a beater or 5 min. using a fork.


|
Dendro
5.01
Dendro in Greek language means tree. The Dendro library is a large scale (262K cores on ORNL's Titan) distributed memory adaptive octree framework. The main goal of Dendro is to perform large scale multiphysics simulations efficeiently in mordern supercomputers.  More...
#include <profiler.h>
Public Member Functions | |
| profiler_t () | |
| simple profiler based on Hari's sort_profiler for bssn application. More... | |
| void | start () |
| void | stop () |
| void | clear () |
| void | snapreset () |
Public Attributes | |
| long double | seconds |
| long long | p_flpops |
| long double | snap |
| long long | num_calls |
Protected Attributes | |
| long double | _pri_seconds |
| long long | _pri_p_flpops |
simple profiler based on Hari's sort_profiler for bssn application.
| profiler_t::profiler_t | ( | ) |
simple profiler based on Hari's sort_profiler for bssn application.


Pagalpanti, Movie Review: I Need A Psychiatrist, Seriously. Kyun Ki Yeh Film, Anil Kapoor And John Abraham? Aur Pehle Toh, Bani Kyun?
by Vickey LalwaniWhat A MESS. Kyun banayi? Kaise banayi yeh 'masterpiece'? READ OUR REVIEW of the Anil-John starrer Pagalpanti
First, the 64-million dollar question: What was going on? Second, the million-dollar question: Did the producers (T-Series and Anand Pandit) not realise at any point that what was being made needed to be stopped? What a waste of time, money and resources-actually, quite a distinct feature in almost every sphere of life with the kind of mediocrity that has set in around us.
All the blame to Anees Bazmee who seems to make repititive stuff but one that is declining in quality with most films after Ready. Play on your strengths sir, but don't become a victim of ditching quality for quantity. I can't understand why Anil Kapoor of all the people had to say 'yes' to you for this one. Mr India, who s loved by almost one and all, is such an intelligent man that I refuse to believe that the film you've made is exactly the one that you spelt out to him.
John Abraham has come so much into his own nowadays that even his films which haven't created a big buzz before release have had people respecting him and his work. I am not ready to buy the line that the actor in question wanted to do something different and hence committed a harakiri with you, Anees sir.
Bazmee sir, please explain what you have made. God knows, what Abracadabra you did while rolling it out for them on the narration table that Anil snd John both got trapped in this.
And now for the packaged lovers Kriti Kharbanda and Pulkit Samrat. Absolutely no chemistry, terribly awkward- and mind you, I am modestly saying that.
Ileana D'cruz is definitely one role that was not even required, she's there perhaps to let Abraham have a heroine opposite him.
And uff, just in case you have got disconnected-waise there's nothing to hold your attention-getting in comes a bhutni wearing the shortest of shorts and desperate to kiss Arshad Warsi, for whom my heart bleeds when I see that one of the better actors like him has been reduced to making faces in a jhund in most films he does.
 Did you? I didn't.
And the icing on the cake: Virat Kohli 99 pe khel raha tha aur Raj Kishore (Abraham's name in the mess) ke aane se woh out ho gaya! I am not bad at cricket but I would have certainly got out for a FIRST BALL DUCK if I had seen this ruckus, mess, whatever, few hours before taking strike.
Going with a TWO (grace marks included).
Image Source:- youtube/ t-series, instagram/thejohnabraham


--- title: Homework keywords: fastai sidebar: home_sidebar summary: "Training your own language model" description: "Training your own language model" nb_path: "01_homework.ipynb" ---
In the lesson we saw how to train a language model with the IMDB dataset and how to use it to create movie reviews. Here, we will take a different dataset and do the same process with a different dataset.
We will consider the dataset of amazon reviews and compare its outputs with a model trained on the IMDB dataset. In order to speed things up, we will consider sub-samples of both datasets as they contain from $10^5$ to $10^6$ reviews. We will work with $\sim10^3$ samples on each dataset.
This would be quite unreasonable to do if we were not using a pre-trained language model. Since we're fine-tunning the language model, it already knows a lot about English and the world, so a few samples will suffice for the training. If we had to build an entire language model from scratch, we would need quite a lot of text.
path = untar_data(URLs.IMDB_SAMPLE)
dls_lm = DataBlock(blocks=TextBlock.from_df('text', is_lm=True),
get_x=ColReader('text'), splitter=RandomSplitter(0.1)
).dataloaders(pd.read_csv(path/'texts.csv'), bs=128)
Always have a look at the data!
dls_lm.show_batch(max_n=3)
We're good to train our model. Let's fine-tune a language model from wikipedia.
imdb_learn = language_model_learner(dls_lm, AWD_LSTM, drop_mult=0.3, metrics=[accuracy, Perplexity()]).to_fp16()
imdb_learn.fine_tune(4, base_lr=2e-2)
Let's test the model :)
stem = "Such terrible acting"
pred = imdb_learn.predict(stem, n_words, temperature=0.8)
print(pred)
We can see how this model is notably worse than the one we showed at class trained with the entire dataset, but we're just playing a bit with the concept.
In fact, we can check what would happen if we trained a model without ULMFiT, starting from scratch.
imdb_learn_0 = language_model_learner(dls_lm, AWD_LSTM, drop_mult=0.3, metrics=[accuracy, Perplexity()],
pretrained=False).to_fp16()
imdb_learn_0.fit_one_cycle(5, lr_max=5e-2)
The model is significantly worse at predicting hte next word (8% accuracy vs 27%). Let's have a look at a prediction
stem = "Such terrible acting"
pred = imdb_learn_0.predict(stem, n_words, temperature=0.8)
print(pred)
Awful >.< These were way too little samples and training for such a model. However, with transfer learning, we have been able to train a somewhat decent model to make movie reviews. Of course, we saw that with more data and training the results are much better.
path = untar_data(URLs.AMAZON_REVIEWS)
samples = 5000
a_df = pd.read_csv(path/"train.csv", names=["label", "title", "text"]).sample(samples).reset_index()
dls_lm = DataBlock(blocks=TextBlock.from_df('text', is_lm=True),
get_x=ColReader('text'), splitter=RandomSplitter(0.1)
).dataloaders(a_df, bs=128)
Always have a look at the data! Let's see some reviews.
dls_lm.show_batch(max_n=3)
We can now train our model, just as in the IMDB dataset.
amzn_learn = language_model_learner(dls_lm, AWD_LSTM, drop_mult=0.3, metrics=[accuracy, Perplexity()]).to_fp16()
amzn_learn.fine_tune(4, base_lr=2e-2)
stem = "Hair dryer"
pred = amzn_learn.predict(stem, n_words, temperature=0.8)
print(pred)
The model was not sure about whether it was good or bad, but it does look like an amazon review about a hair dryer.
This is where you get creative. Compare the predictions of both models given the same starting points. You can play around and try to find ambiguous starting points, things that work in both contexts (movie reviews and product reviews), completely start deep into one field and see what the opposite model manages to output, etc.
Have a bit of fun!
stem = "Harry Potter never "
pred_amzn = amzn_learn.predict(stem, n_words, temperature=0.8)
pred_imdb = imdb_learn.predict(stem, n_words, temperature=0.8)
print(pred_amzn+"\n")
print(pred_imdb)
Well, these reviews are not the best ever, but we can see how both know that Harry Potter are books so... I guess I'll take that. Copy/paste this bit of code and experiment a bit. Giving a longer starting point will make the prediction a little bit better. You can test and see what happens when we give it a long input or an empty string.
stem = " "
pred_amzn = amzn_learn.predict(stem, n_words, temperature=0.8)
pred_imdb = imdb_learn.predict(stem, n_words, temperature=0.8)
print(pred_amzn+"\n")
print(pred_imdb)


70'th Vyasa Puja Mahautsav
Sending invitation to all disciples for 70'th Vyasa Puja Mahautsav of HH Loknath Swami Maharaj
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Hi, my name is Will McCrudden! I'm a teenager that was born on October 25th in South Carolina
(send help its so hot over here).
I love coding and everything about it! I'm most familiar with HTML, JavaScript, Node.JS, and CSS, but I'm never afraid to learn something new.
I have a couple of GitHub projects that you can check out on my
GitHub profile.
I'm a freelancer also! If you want me to help you with a website, discord.js bot, or something else, please
email me!
I have the cheapest prices and best service you'll ever see! I'll always ask you for your budget if you can't cover the estimated cost.
Also, you pay after the work is completed and up to your own standards!


HTML (HyperText Markup Language) is the most basic building block of the Web. It defines the meaning and structure of web content. Other technologies besides HTML are generally used to describe a web page's appearance/presentation (CSS) or functionality/behavior (JavaScript).
Cascading Style Sheets is a style sheet language used for describing the presentation of a document written in a markup language such as HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript.
The World Wide Web Consortium is the main international standards organization for the World Wide Web. Founded in 1994 and currently led by Tim Berners-Lee, the consortium is made up of member organizations that maintain full-time staff working together in the development of standards for the World Wide Web.
The Hypertext Transfer Protocol is an application layer protocol for distributed, collaborative, hypermedia information systems. Hypertext Transfer Protocol Secure is an extension of the Hypertext Transfer Protocol. It is used for secure communication over a computer network, and is widely used on the Internet. In HTTPS, the communication protocol is encrypted using Transport Layer Security or, formerly, Secure Sockets Layer.
The Domain Name System is a hierarchical and decentralized naming system for computers, services, or other resources connected to the Internet or a private network. It associates various information with domain names assigned to each of the participating entities.
IP address is a numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication. An IP address serves two main functions: host or network interface identification and location addressing.
A packet consists of control information and user data; the latter is also known as the payload. Control information provides data for delivering the payload.
Routing is the process of selecting a path for traffic in a network or between or across multiple networks. It is performed in many types of networks, including circuit-switched networks, such as the public switched telephone network (PSTN), and computer networks, such as the Internet.
A domain name is an identification string that defines a realm of administrative autonomy, authority or control within the Internet. Domain names are used in various networking contexts and for application-specific naming and addressing purposes.
ICANN is an American multistakeholder group and nonprofit organization responsible for coordinating the maintenance and procedures of several databases related to the namespaces and numerical spaces of the Internet, ensuring the network's stable and secure operation.


Kali, meaning dark, has several places in our language
and history. The Kali Gandaki river in the Himalayas,
that flows in the deepest gorge is heavy with silt and
stones for a large part of the year.
These are the stones collected from riverbed walks and
painted, almost meditatively.


Bobcats in Athens
Bobcats and humans live in a similar landscape: mountains, hills or plains. However, there is only a remote possibility of spotting a bobcat in and around Athens, Georgia.
You can learn more than the casual observer by clicking the buttons below...
Taxonomy
| Order |
Carnivora |
| Family |
Felidae |
| Genus |
Lynx |
| Species |
rufus |
Diet
- In the wild, bobcats eat rabbits, squirrels, rats, mice, fish, insects and small reptiles. They are opportunistic predators, and they can prey on animals as large as deer. The bobcat is able to go for long periods without food, but will eat heavily when prey is abundant. During lean periods, it will often prey on larger animals that it can kill and return to feed on later.
- At Bear Hollow, they eat mice and rats, chicken wings, fish occasionally, as well as a prepared carnivore diet.
Range and Habitat
- Cosmopolitan. Bobcats inhabit forested areas, semi deserts, urban edges, swamps and may other habitats.
- In North America, occurs most everywhere except in a small region of the Midwest and North-central states.
- In Georgia, Bobcats are found statewide.
Physical Features
- About twice as large as a domestic cat.
- Light brown or tawny colored fur. Darker spots may or may not be present.
- Has large tufted ears, with a black and white spot on the back of each ear.

- Females and males have the same coloring, but males are generally larger. Males range from 12-40 lbs., with an average of 18-28 lbs., while females range from 9-34 lbs. and average 14-20 lbs.
Life Span
- In the wild, bobcats tend to live about 10 to 12 years.
- In captivity, they can live up to 18 or 20 years, and some have reached 30 years.
Reproduction
- Dominant males will follow females until they are reproductively receptive. Both sexes may mate with multiple partners.
- Breeds from winter into spring. Kittens are born around two months later.
Social Behavior
- Bobcats are territorial and largely solitary, though there may be some overlap in home ranges.
- Territory edges are defined using claw scraping or scent marking (urine or feces).
- Primarily crepuscular (active at dawn and dusk) in warmer months, but may become more diurnal in the fall and winter.
- It’s an excellent climber and will swim when necessary, but will generally avoid water.
Conservation
- A species of little conservation concern. Populations have proven resilient and secure over most of the range. The bobcat is listed in Appendix II of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), which means it is not considered threatened with extinction, but that hunting and trading must be closely monitored.
- Most states allow a hunting season for bobcats, and at one time their pelts were worth a high price.
Interpretive Information
- Bobcats stick to their well-defined territories. Territories vary in size depending on sex of the bobcat and prey availability.
- In Native American stories, bobcats are associated with the fog in conjunction with Coyote who is associated with the wind. Bobcats feature heavily in many Native American stories and traditions.
- They generally avoid areas with high human disturbance and are rarely nuisance problems.
Bear Hollow’s Bobcats
- Female: Danielle (pictured above with pale fur):
- Born in captivity in 1992.
- Raised at Heritage Zoo in Grand Island, Nebraska.
- Arrived at Bear Hollow in 1996.
- Katie (darker and spotted):
- Born in 2000 but orphaned at four weeks old.
- Raised at Ellijay Wildlife Sanctuary
- Arrived at Bear Hollow in 2005.
Credits and References
- Photo © Wade Sheldon
- General research by Sherrie Hines


Bar Graphs with d3.js
Section 1
Section 2
Section 3
Section 4
Section 5
Now here is a relic, a hard-coded bar-graph
4
8
15
16
23
42
And here is our fancy automatically-generated graph


Emotional Intelligence
What is Emotional Intelligence?
Emotional Intelligence (EQ) i the ability to identify and manage one's own emotion as they happen, as well as the emotions of others. EQ consist of five quality's:
-
Empathy - the capacity to understand or feel what another person id experiencing, recognizing the feelings of others, even when those feelings may not be obvious. It's the ability to identify with and understand the wants, needs, and viewpoints of those around you.
-
Self-Awareness - Understanding oneself emotions, and because of this, they don't let their feelings rule them. They trust their intuition and don't let their emotions get out of control, resulting one to be more confident. They look at themselves honestly, knowing their strengths and weaknesses, and they work on these areas so they can perform better.
-
Motivation - People with a high degree of emotional intelligence are usually motivated. They're defer the immediate results for long-term success. This makes them highly productive and effective in whatever they do.
-
Social Skills - Those with strong social skills are typically team players. They help others develop and shine. They can manage disputes, are excellent communicators, and are masters at building and maintaining relationships.
-
Self-Regulation - Typically don't allow themselves to become too angry, jealous, or allow their negative emotions control their actions.
How is it different to IQ?
Intelligence quotient (IQ) is ones academic abilities, logical reasoning, word comprehension and math skills. People with higher IQ can think in abstracts and make connections by making generalizations easier. EQ pertains to emotions and social skills rather than intellectual intelligence and capabilities.
Why is it important?
As emotional beings most of our motivation and experiences are determined by our emotions. As we perform better and have a better time when we're in a positive mood. Being-aware of your emotions you can self-regulate and manage emotions.
EQ can help with better communication with others, conflict management, disagreements and relationships building. Have a stronger EQ can lead to a happier, healthier life, with better relationships.


This app performs the calculations required for bending sheet metal in a bending break. This is not intended for use with industrial benders.
Using the app
The calculation relies on a K value, which is determined by the properties of the metal, its thickness and the bending method. Because there are no standard values, workshops often have their own tables that work with their methodology and materials. There are, however, tables of typical values for soft metals (aluminium), medium (mild steel) and hard (other non-brittle alloys).
The app lets the user select the type of metal and either provide a K value or leave it empty. In this case the app will use a value from its built-in table, which can be edited on the Setup page. All other fields are required.
For bending, the important measurements are the flange lengths and the leg lengths (see example below). Cut the metal to length (or mark up for cutting later), then mark up one leg length and the associated flange length. Set the hinge on the flange length and the clamp plate on the leg length. Bend the workpiece.
Method used
The app calculates the setback, which is the amount the flange length is reduced to obtain the leg length. The setback assumes that the material deforms evenly on the inside and outside of the mid-line. Setback is simply the sum of the internal radius of the bend and the thickness of the metal.
To determine the amount of metal required, the app calculates the bending allowance (BA) which is the distance around the bend.
BA = Angle * (PI / 180) * (Radius + K * Thickness)
The total metal is the sum of the leg lengths and the bending allowance.
If more than one bend is required, work from the mid-point of the inner flange(s).
For very tight bends, such as fold-backs, an approximation is used and the bending allowance is calculated as 0.43 * thickness.
Example
For example, consider a requirement to bend a piece of 3mm steel through 90 degrees so that the bend has an internal radius of 6mm and the flanges are 50mm and 100mm from the corner.
Setback is calculated as 9mm (3 + 6), which gives leg lengths of 41mm and 91mm. The bend is shown in orange in the diagrams.
Assuming the material is mild steel with a K value of 0.33, the bending allowance is calculated as 11.78mm:
The total length of metal required is 143.78mm (41 + 11.78 + 91).
To form the bend, set the hinge on the 50mm line and the clamp on the 41mm line (or 100mm and 91 mm respectively).


Emotional Intelligence is the ability to monitor ones feeling and emotions, and using this to guide yourself. It is self-awareness, self-regulation, motivation, empathy and social skills. What I have learnt from this is Emotional Intelligence can be taught as a skill. By being calm or using meditation to calm ones self, it helps achieve much more than just reducing stress. While working with others this effective helps teams work together and it helps leaders have more of a connection. I also found it interesting that Commanders in the Navy were found to be more effective with this connectivity with others than the Commanders without.


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Debayan Das
Graduate Engineer Trainee at Nokia | MCA Student at VIT | Loves to code
Contact Details
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<EMAIL_ADDRESS><EMAIL_ADDRESS>Submit Queries Here


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Interface IMixedRealityBoundarySystem
Manager interface for a Boundary system in the Mixed Reality Toolkit All replacement systems for providing Boundary functionality should derive from this interface
Namespace: Microsoft.MixedReality.Toolkit.Core.Interfaces.BoundarySystem
Assembly: cs.temp.dll.dll
Syntax
public interface IMixedRealityBoundarySystem : IMixedRealityEventSystem, IMixedRealityEventSource
Properties
BoundaryCeilingMaterial
The material to use for displaying the boundary ceiling.
Declaration
Material BoundaryCeilingMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
BoundaryHeight
The height of the play space, in meters.
Declaration
float BoundaryHeight { get; set; }
Property Value
| Type | Description |
|---|---|
| Single |
Remarks
This is used to create a three dimensional boundary volume.
BoundaryWallMaterial
The material to use for displaying the boundary geometry walls.
Declaration
Material BoundaryWallMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
BoundaryWallsPhysicsLayer
The physics layer that the generated boundary walls are assigned to.
Declaration
int BoundaryWallsPhysicsLayer { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Bounds
Two dimensional representation of the geometry of the boundary, as provided by the platform.
Declaration
Edge[] Bounds { get; }
Property Value
| Type | Description |
|---|---|
| Edge[] |
Remarks
BoundaryGeometry should be treated as the outline of the player's space, placed on the floor.
CeilingPhysicsLayer
The physics layer that the generated boundary ceiling is assigned to.
Declaration
int CeilingPhysicsLayer { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 |
FloorHeight
Indicates the height of the floor, in relation to the coordinate system origin.
Declaration
float? FloorHeight { get; }
Property Value
| Type | Description |
|---|---|
| Nullable<Single> |
Remarks
If a floor has been located, FloorHeight.HasValue will be true, otherwise it will be false.
FloorMaterial
The material to use for the floor
Declaration
Material FloorMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
FloorPhysicsLayer
The physics layer that the generated floor is assigned to.
Declaration
int FloorPhysicsLayer { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 |
FloorScale
The size at which to display the rectangular floor plane
Declaration
Vector2 FloorScale { get; }
Property Value
| Type | Description |
|---|---|
| Vector2 |
PlayAreaMaterial
The material to use for the rectangular play area
Declaration
Material PlayAreaMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
PlayAreaPhysicsLayer
The physics layer that the generated play area is assigned to.
Declaration
int PlayAreaPhysicsLayer { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Scale
The scale (ex: World Scale) of the experience.
Declaration
ExperienceScale Scale { get; set; }
Property Value
| Type | Description |
|---|---|
| ExperienceScale |
ShowBoundaryCeiling
Enable / disable ceiling rendering.
Declaration
bool ShowBoundaryCeiling { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean |
Remarks
The ceiling is defined as a
ShowBoundaryWalls
Enable / disable boundary wall rendering.
Declaration
bool ShowBoundaryWalls { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean |
ShowFloor
Enable / disable floor rendering.
Declaration
bool ShowFloor { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean |
ShowPlayArea
Enable / disable play area rendering.
Declaration
bool ShowPlayArea { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean |
ShowTrackedArea
Enable / disable tracked area rendering.
Declaration
bool ShowTrackedArea { get; set; }
Property Value
| Type | Description |
|---|---|
| Boolean |
TrackedAreaMaterial
The material to use for the boundary geometry
Declaration
Material TrackedAreaMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
TrackedAreaPhysicsLayer
The physics layer that the generated tracked area is assigned to.
Declaration
int TrackedAreaPhysicsLayer { get; set; }
Property Value
| Type | Description |
|---|---|
| Int32 |
Methods
Contains(Vector3, Boundary.Type)
Determines if a location is within the specified area of the boundary space.
Declaration
bool Contains(Vector3 location, Boundary.Type boundaryType = null)
Parameters
| Type | Name | Description |
|---|---|---|
| Vector3 | location | The location to be checked. |
| Boundary.Type | boundaryType | The type of boundary space being checked. |
Returns
| Type | Description |
|---|---|
| Boolean | True if the location is within the specified area of the boundary space. |
Remarks
Use: Boundary.Type.PlayArea for the inscribed volume Boundary.Type.TrackedArea for the area defined by the boundary edges.
GetBoundaryCeilingVisualization()
Gets the
Declaration
GameObject GetBoundaryCeilingVisualization()
Returns
| Type | Description |
|---|---|
| GameObject | The boundary ceiling visualization object or null if one does not exist. |
GetBoundaryWallVisualization()
Gets the
Declaration
GameObject GetBoundaryWallVisualization()
Returns
| Type | Description |
|---|---|
| GameObject | The boundary wall visualization object or null if one does not exist. |
GetFloorVisualization()
Gets the
Declaration
GameObject GetFloorVisualization()
Returns
| Type | Description |
|---|---|
| GameObject | The floor visualization object or null if one does not exist. |
GetPlayAreaVisualization()
Gets the
Declaration
GameObject GetPlayAreaVisualization()
Returns
| Type | Description |
|---|---|
| GameObject | The play area visualization object or null if one does not exist. |
GetTrackedAreaVisualization()
Gets the
Declaration
GameObject GetTrackedAreaVisualization()
Returns
| Type | Description |
|---|---|
| GameObject | The tracked area visualization object or null if one does not exist. |
TryGetRectangularBoundsParams(out Vector2, out Single, out Single, out Single)
Returns the description of the inscribed rectangular bounds.
Declaration
bool TryGetRectangularBoundsParams(out Vector2 center, out float angle, out float width, out float height)
Parameters
| Type | Name | Description |
|---|---|---|
| Vector2 | center | The center of the rectangle. |
| Single | angle | The orientation of the rectangle. |
| Single | width | The width of the rectangle. |
| Single | height | The height of the rectangle. |
Returns
| Type | Description |
|---|---|
| Boolean | True if an inscribed rectangle was found in the boundary geometry, false otherwise. |


{% extends "base.html" %} {% block content %}
This tool allows us to share passwords in a secure way. Submit a password and choose how long you want to allow access. The password will be stored as long as the time to live (default one hour). The password can only be read once. Once somebody reads the password it is automatically removed from the system.


{% extends "base.html" %} {% load staticfiles %} {% block title %}
{{ Entry.headline }}
by {{ Entry.blog.name }}
Published {{ Entry.pub_date|date:"F j, Y" }}


Got any queries about our products, pricing, samples or anything other assistance our team is pleased to help you with. Please fell free to contact us.
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|
Lucid
|
#include <engineComponents.h>
Public Attributes | |
| bool | drawWireframe = false |
| bool | drawColliders = false |
| uint32_t | fps = 0 |
| uint32_t | rayID = 0 |
| uint32_t | activeEntity = NONE_ACTIVE_ENTITY |
| CameraType | activeCamera = CameraType::Scene |
| uint32_t | sceneCameraId = NONE_ACTIVE_ENTITY |
| uint32_t | gameCameraId = NONE_ACTIVE_ENTITY |
| bool | onGizmo = false |
| WindowType | changeFocusWindow = WindowType::None |
| ImGuizmo::OPERATION | gizmoOperation = ImGuizmo::OPERATION::TRANSLATE |
| GLFWwindow * | window = nullptr |
Definition at line 31 of file engineComponents.h.
| CameraType DevDebug::activeCamera = CameraType::Scene |
Definition at line 40 of file engineComponents.h.
| uint32_t DevDebug::activeEntity = NONE_ACTIVE_ENTITY |
Definition at line 39 of file engineComponents.h.
| WindowType DevDebug::changeFocusWindow = WindowType::None |
Definition at line 46 of file engineComponents.h.
| bool DevDebug::drawColliders = false |
Definition at line 34 of file engineComponents.h.
| bool DevDebug::drawWireframe = false |
Definition at line 33 of file engineComponents.h.
| uint32_t DevDebug::fps = 0 |
Definition at line 37 of file engineComponents.h.
| uint32_t DevDebug::gameCameraId = NONE_ACTIVE_ENTITY |
Definition at line 43 of file engineComponents.h.
| ImGuizmo::OPERATION DevDebug::gizmoOperation = ImGuizmo::OPERATION::TRANSLATE |
Definition at line 47 of file engineComponents.h.
| bool DevDebug::onGizmo = false |
Definition at line 45 of file engineComponents.h.
| uint32_t DevDebug::rayID = 0 |
Definition at line 38 of file engineComponents.h.
| uint32_t DevDebug::sceneCameraId = NONE_ACTIVE_ENTITY |
Definition at line 42 of file engineComponents.h.
| GLFWwindow* DevDebug::window = nullptr |
Definition at line 49 of file engineComponents.h.


Welcome to My Page!
My name is Ayrat. I was born and raised in Kazan, Russia to a Tatar family. My choldhood was filled with watching Hollywood movies and ever since my biggest dream was to come to the United States. It finally came true when I turned 21 and it's been an adventury ever since.


Welcome to Web Scraping
Links:
Google
Yahoo
Wikipedia
Paragraph contents
Sub paragraph content
Sub heading Content!


information visualization, human-computer interaction researcher
Experience the Tourne Jacket and other handmade products in collaboration with Oblige Seattle through their new website.
→A Google Chrome extension that leverages cognitive cartography and creates personalized spatial analogies of unfamiliar distances, areas and locations.
→Re-imagination of a smart refrigerator concept focused on reducing food waste and allowing users to make responsible decisions about foods.
→Live multiplayer game where players navigate ships around a central star's gravity well and try to shoot down other players. Placed at Facebook Hackathon Seattle.
→Analyzing and visualizing a dataset with R and D3.js to explore questions about Urbanization and Health Indicators in various countries.
→Hi, I'm Francis!
I am a PhD Computer Science student at the University of British Columbia where I am advised by Professor Tamara Munzner. I am member of InfoVis group at UBC and the Design for People initiative at UBC. I was previously advised by Professor Jessica Hullman at the University of Washington and Northwestern University and a member of the Midwest Uncertainty Collective.
My research interests rest at the confluence of information visualization, human-computer interaction, and systems. Particularly, I’m interested in visualization of provenance data for broad uses, scientific reproducibility, software learning, and methods in HCI research.
Previusly, I've worked on visualization tools to support journalists integration of readers'
beliefs into
articles, and on the evaluation of visualizations to make them statistically reliable.
I also
I enjoy rock climbing, cooking, drinking and learning about coffee, .


web based application that utilizes AI-powered advertising to help sellers on Amazon and Walmart optimize their products for e-commerce.
overview
During my time at Teikametrics I spent majority of my time working on feature work and then wrapping up my time leading the efforts on the Walmart launch for the platform.
walmart launch.
What was the majority of my time spent doing?
A good portion was helping build out the Walmart launch and also some feature requests here and there. This was in the midst of the first set of COVID-19 lockdowns and during them the company was also learning how to balance a work from home workflow.
Lightweight user onboarding.
breaking down various steps of a flow for stakeholders.
Breaking down components.
Often with most of my work at Teikametrics the components were complex and needed a level of detail with handing off to the developers and stakeholders. This was something I learnt here and looking to pull in to various projects in the future.
In Retrospective
Teikametrics was the first B2B web application I’ve worked on and sprouted the roots to learning more about complex web dashboards. It was also my first time working within a user group that I never knew existed until I joined the company, which lead to a lot of insights around research! Never-the-less was a great learning experience and grateful to have had it.


 I'm sorry wheneva I do something wrong in advance.
Contact
Wheneva you need help, or are worried , or any issues or problem, contact the below mentioned person.
Just remeber, wheneva you need me, I'm there with you. {24 X 7}
Promise to keep you happy, safe, pamper & loved.


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RT @wfarr: Using ruby-build? You likely want to recompile your Ruby versions: https://github.com/sstephenson/ruby-build/pull/351
5/1/2013, 9:14:21 PM
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link--- layout: tweet ---
RT @wfarr: Using ruby-build? You likely want to recompile your Ruby versions: https://github.com/sstephenson/ruby-build/pull/351
5/1/2013, 9:14:21 PM
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Note: This experiment ended on July 15, 2016. But still you can browse whole project.
Don't forget to checkout making and analytics of #FeedMyFlash
#FeedMyFlash
Hey Internet, I need your small help to feed my pet Flash, a small white rat.
Bro, What's going on?
Hey, I'm hiking near Yuksom. Flash is at home. He needs water and food(peanuts,ants,grains) every 1 hours. Please, Please take care of him.  You need to just tweet (#FeedMyFlash Yes) to feed him OR (#FeedMyFlash No) to not feed him. The mechanism I made and installed above his Home, counts all the tweets for every 1 hour and decides whether to Feed or not to feed Flash. You can also see the Live streaming of his feeding.
Why didn't you take Flash with you for hiking?
Actually I really wanted to take him with me but I was skeptic whether he might survive the low oxygen levels or the attacks from the wild animals there, so I decided to keep him safe at home.
Why you can't leave flash on your Girlfriend or friend's house?
I don't have any such friend who likes Rat. Sadly, I don't even have Girlfriend.
What should I do?
You just need to check and tweet every two hours that there is enough food/water in the basket so that Flash is well fed and won't die of hunger.
But I might be busy all day and I can check only a few times a day, is that OK?
Ya, that's absolutely fine. That's the reason why I requested help of the whole Internet, I am looking for people like you who can just check the live feed, tweet and take care of him.
I want to feed Flash this hour, what should I do?
Just click the button below and tweet "Yes #FeedMyFlash"
Tweet #FeedMyFlash
What if there is enough food in the basket & I don't want to feed Flash this hour?
Ok then just tweet "No #FeedMyFlash"
Tweet #FeedMyFlash
What should I do if Flash is in SOS?
Please, press this Button only in an absolute emergency!!! If 10 people press this button in an hour, It will send a SOS SMS to me and the Animal Help Line. Please, please use it wisely. Flash sleeps around 5-6 hours a day that doesn’t mean he is dead, so use your head before pressing the button.
SOS
In case I want to locate you?
You can track me in realtime. I made a small android app which is installed on my phone, it uploads my location every 10 second to the below public url.
Track My Location
Your email address please?
<EMAIL_ADDRESS>I want to know how you made this thing?
I will publish a medium article as soon as I come back from trip.
When will you come back?
I will be back in 10 days(probably by 15th July), till then Please take care of Flash.
I want to share my comments/feedback/question to you Neel
Yes. Please tweet me @neelkadia
Anything excited about this experiment?
Yes. Archana from NID Film & Video communication making a film over Flash ane Me
Bye. Thanks Internet!
Making of #FeedMyFlash
I've started with making a block diagram how the whole system will work, understood what I need electronics, wooden cage and so on. I made a wooden cage from waste materials. On other side I used Particle.io as a microcontroller, IFTTT to make communications easy much more easy, Youtube to stream the whole experiment live, MLab and Cloud9to save and analyze all tweets and finally Twitter to connect with Internet and people.
Basic structure to understand flow
Particle.io in action
Saving all tweets on MLab using Cloud9


Controls the automatic ZKTime import job by defining how long should RMS
wait after the shift has ended before creating an Actual. e.g. to give
enough time for overstaying staff to complete their work before RMS creates
an Actual. Setting is in hours.


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How to deliver AR on the web only with a QR Code
QRCODEMONKEY: The 100% Free QR Code Generator
Marker generator
What Is A QR Code And How Does It Work?


BY AUTODESK
Design plasmids or linear strands of DNA for your organism in just one browser tab.
Start by quickly capturing your design intent, for example, a strong promoter driving your favorite gene followed by an eGFP tag. Sketch mode lets you add the sequence later. No need to sketch on the whiteboard anymore – just go straight to the browser and keep all information in one place.
Try for freeNot all information is needed all of the time. Your insert traditionally takes up the least space in your plasmid map, but it may be the most important part in your design. With Genetic Constructor you can collapse the backbone into a single block and focus on your insert.
Try for freeGenetic Constructor puts the power of NCBI and iGEM at your fingertips. Search for your favorite gene and explore the results. Drag and drop your final selection directly into your design. All annotations are maintained and converted to our convenient hierarchical structure.
Want to test a promoter library and a tag library with your favorite gene? With a regular sequence editor this would result in hundreds of files that you have to keep track of. With Genetic Constructor you can easily populate any block with a list of possible sequences. You continue to work with just one design, but you can easily preview any or all combinations of the possible alternatives.
Like all Autodesk products, Genetic Constructor is free for academics. We offer a simple annual subscription for everyone else. No complex tiers, no hidden costs.
Edit and annotate sequences directly
Publish and reuse designs from our growing public collection
Share designs privately with individuals or groups
Snapshot versions at important decision points in your design process
Revisit previous versions using the automatic version history
Speed up common tasks with reusable templates
Order synthetic DNA on the fly
The combination of Autodesk design software with synthetic DNA makes genetic engineering faster, easier and cheaper. It really opens the door to the possibility that more of humanities needs - such as pharmaceuticals - can be satisfied by sustainable, living systems.
The BioNano Research group at Autodesk is dedicated to developing technology that accelerates scientific progress. We believe that this ambitious mission can only succeed through an open collaboration with our peers in academia and industry. We are committed to aggregating the best ideas and workflows from the life sciences and combining them with Autodesk's deep knowledge and experience delivering the most popular, successful engineering tools on the planet. Our team is composed of leading PhD scientists, experience designers and software developers. Together we are developing the next generation of molecular biology tools!


I designed a website with a classmate earlier in my design career for my Intro to Web Design class; we were given a task to create a company and its branding, as well as its website. We were given different categories to choose, and I chose Charity/Donation website. I wasn’t as exposed to UX practices as I am now. I wanted to go back into this project and redesign and update it, reflecting on bad UX practices that were implanted and seeing what can be improved upon. I believe self reflection is important as well as gauging your skillsets.
The goal was to inform with empathy and motivate others to contribute to the cause.
a. Color Contrast
There isn’t enough. It is hard to see some of the text, especially with a background that doesn’t serve as a strong contrast.
b. Type size and weight
This is especially true in mobile, but the type size is way too small and gets easily lost in a lot of information.
c. Missing information when mobile
This was another big issue. Users do not like to feel like that they are missing content and information. I needed to redesign the site so it adapts better to mobile while retaining all the information in desktop.
In order to test the usability of the site, I listed some tasks for the participants to complete:
1. Someone told you about the organization and you want to find more about their mission.
2. You want to donate to the cause but also want to know how you’re contributing.
3. You want to find out where you can read relevant updates/news about the cause.
I then organized the painpoints in an affinity map.
This exercise gave more clarity on the specific painpoints experienced by users. Things that came up frequently during the usability tests were:
1. Most people had a hard time reading certain texts. This was especially true in mobile.
2. Most people did not know you had to scroll down or that it was even an option.
3. Users wanted to know where there money was going specifically and how they are contributing. They were also unsure of the currency of their donation.
I decided to prioritize these three pain points since they came up more frequently than others.
I then created mockups, showing the before and after. I annotated initial problems that were pointed out by users in the before and added notes about my design solutions in the after.
To sum things up, I focused on three pain points and designed solutions to each one.
1. Users found it hard to read the content. This was especially true in mobile.
Solution: Optimize color contrast and remove unnecessary clutter. Choose appropriate typefaces and font-sizes that will allow users to easily read the content without having to zoom in.
2. Most users did not know you had to scroll down on some pages, most frequently, the donation page.
Solution: Hint to users that there is important content beneat the header images. A good way to do that is to not occupy the whole screen with just static image.
3. Users wanted to know specifically where there money was going and the accepted currency.
Solution: Inform users on the currency used. In addition, I added a box that informs users how their contribution will be used.
I believe that these changes will give a more pleasurable user experience and will eliminate a lot of confusion. It was good to reflect on an earlier project and test my capabilities as a designer today.


--------------------------------------------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------------------------------------------
1
Human Resource Policies
Resignation and Exit Policy
FUNCTION: HUMAN RESOURCE MANAGEMENT
POLICY: RESIGNATION AND EXIT POLICY
PREPARED BY: GAGANDEEP SINGH
APPROVED BY: BHARAT KAPOOR
DATE: 1
st
December, 2015
VERSION NO: HR/ REP/ 01
–
A
Policy Number
HR/ REP/ 01
Policy
Distribution
Employees
Confidentiality
Confidential to DIPI employees only
Effective Date
December 2015
Objective
To ensure that proper feedback is obtained from the exiting employee
about the Company’s working and other things in order to
maintain smooth
operations.
Applicability
All onroll employees and workers of the Company
Policy content
A.
Notice period & relieving
When an employee resigns, the Supervisor/ HOD should attempt to
understand his reasons and identify means to retain the team member.
In case, there is no possibility of retaining the team member, the same shall be
intimated to the HR so as to commence the exit process.
The notice period to be served will be 2 months. Any shortfall shall be adjusted
in F&F settlement unless waived off by Director.
During the notice period it is essential that the necessary project related work/
information is transferred to another assigned team member.
B.
Clearance formalities
The exiting employee must comply with the clearance formalities as listed
in the Exit Clearance Form (refer Annexure 2)
The exiting employee shall be responsible for the completeness of the
clearance form.
C.
Full & final settlement
GA and HR Department will process F&F and forward it to accounts for
payment.
The same shall be completed within four weeks from last working day subject
to completion of No Dues form by the employee.
Procedure
A.
Acceptance of resignation letter
1.
Receipt & Acceptance of Letter of Resignation shall be done by the HOD.
2.
On acceptance of the resignation letter by the concerned person, the
exiting employee shall be intimated by a Letter of Acceptance issued by the
HR.


I was wondering how can I divide a chunk of binary data so that after
application of Random Linear Network Coding
overhead is as low as possible ?
For applying RLNC on a chunk of data, it needs to be splitted into smaller
pieces. Applying RLNC together on all of those pieces is costly when whole
chunk size is large, because I've to solve lots of linear system of equations
while decoding back to original pieces. Cost of matrix inversion is ~ O(n^3)
--- I don't want to spend too much time in decoding, which is why I choose to make
use of Generation-based RLNC where RLNC is only applied on pieces of
same generation. N-many generations form whole binary chunk. Each generation has
M-many pieces. And each piece has K-many symbols i.e. bytes. But passing only these
generation specific coded pieces doesn't help decoding process, it also needs to know
how exactly these pieces are combined togther, which requires encoder to also
share respective randomly generated coding vectors, having M-many coding coefficients.
Each of these coding coefficients are randomly drawn elements of Galois Field (2**8),
which is a finite field with 256 elements i.e. from 0 to 255. As I can represent each byte
in 8-bits, GF(2**8) is a good finite field choice for performing RLNC.
Let's say I've 8 bytes of data, which I want to code using RLNC while splitting it into
pieces of length 2 bytes. So each piece has 2 symbols. I've 4 pieces, which I can code
at a time i.e. single generation coding. Or I may wish to pack 2 pieces together & do it
in two generations. Each choice comes brings a cost. When performing 2 generation coding,
in first generation I've to code 2 pieces, which requires me to send at least 2 linearly
indepedent coded pieces along with respective randomly generated coding vectors to decoder
process for successfully getting back original two pieces of this generation. Each coding vector
needs to have two GF(2**8) elements, because I'm coding two pieces together of generation 1.
As each random coding coefficient is of 1 byte, for each coded piece I've to send 2 * 1 = 2 bytes
extra. This results into 2 bytes header ( read coding vector ) + 2 bytes body ( read coded piece )
= 4 bytes over wire for each coded piece. As I've to send two of these linearly independent
coded pieces, it costs me 8 bytes of data over wire.
One thing to notice here, coding coefficients are randomly drawn from GF(2**8), which might end up
generating linearly dependent coded pieces.  Meaning, I need to send 3.6 coded
pieces to decoder process, on average i.e. costing me 3.6 * 4 bytes = 14.4 bytes per generation. I've to follow
same process for second generation, requiring me to send total 2 * 14.4 bytes = 28.8 bytes of data to decoding
process over wire, for enabling it to fully decode 4 pieces of two generations. I wanted to transfer
8 bytes of original data, as I choose to use RLNC I'm paying with much higher data transfer cost.
This time I plan to share 4 original pieces in a single generation. As I code 4 pieces together, I need
to have a coding vector of length 4 bytes, each coefficient randomly drawn from GF(2**8). Each coded piece
need to carry 4 bytes header ( reading coding vector ) + 2 bytes body ( read coded piece ) = 6 bytes
total. Receiver needs to get atleast 4 linearly independent coded pieces to be able to fully decode
into original pieces. But study says, I need 1.6 more coded pieces, resulting into 5.6 * 6 bytes = 33.6
bytes to be sent over wire.
I could have splitted 8 bytes of original chunk into 8 pieces & applied RLNC in single generation ( read with 8 pieces )
or 2 generations ( read with 4 pieces in each generation ) --- which would have costed me differently.
All these possible choices come at a price.
Aforementioned table shows lowest possible cost is 21.6 bytes, where 8 bytes of data chunk
is splitted into two pieces, each of 4 bytes, which are coded together in a single generation.
The goal should be to choose the configuration while incurring lowest possible cost.
Following diagram is another way to visualise cost with different choices. With 7 possible
coding choices, bytes over wire is highest ( red ) when piece count is 8 ( green ) & coded in a single
generation ( blue ) with no need to pad any extra bytes ( black ). My interest is choosing last point
in plotted diagram ( index 6 along X-axis ), where bytes over wire is lowest, piece count set to 2, generation count 1 & no extra
padding byte cost.
Everytime before performing coding, I can make use of algorithm for finding all possible
configurations of coding N-bytes original chunk & choosing the one with lowest cost. But I want to
find it out in a different way --- using Genetic Algorithm.
Before I get to apply GA on RLNC Cost Optimization Problem, I've to answer some basic questions.
My quest for finding these answers will hopefully lead me to successfully applying GA on RLNC Cost Optimization Problem & find something useful.
I already know answer to first question. My interest is in splitting whole data chunk into piece of N-bytes & grouping M-pieces
into generations, so that I can apply RLNC on pieces of same generation. I've to split & generate atleast two pieces to be able to apply
RLNC, which means if I've 8 bytes of original data, I can choose to generate 2 pieces, each of length 4-bytes. This actually allows me
to group <=4 bytes together & generate pieces of same length. I can choose to work with 1-byte/ 2-bytes/ 3-bytes/ 4-bytes piece size.
Piece size choice affects piece count & whether I need to pad any extra bytes. Extra bytes pad is needed when I choose to make each piece
of 3-bytes, because each piece must be of same length for applying RLNC. So extra zero bytes padding is a cost, I'd generally like to
avoid it as much as possible. As I know piece count, I can decide how to group pieces together to make a RLNC generation. Rule is, I must
have atleast 2 pieces in each generation for working with RLNC. Possible generation sizes are dependent on piece counts, while generation size
choice affects generation count. I've five element tuples to work with.
Solution space is a set of five element tuples, each representing a possible & valid RLNC configuration.
Answer to first question, almost answered second one too. I decide to represent each chromosome as a 5-element tuple. Though my interest was to represent chromosomes as binary strings, but seemingly this is what I've to work with. When defining crossover & mutation operators, I'll face some problems due to this kind of chromosome representation.
Third question is already answered. I know how to calculate cost over wire ( read in terms of bytes sent ) for a given 5-element tuple i.e. RLNC configuration. I use cost over wire as fitness function for each chromosome, so this is a fitness minimization problem. One thing I'm also interested in --- not sending too many extra padding bytes, which is not yet considered in cost over wire calculation. In modified fitness function, I take sum of cost-over-wire & extra padding bytes.
As I'm not working with chromosomes represented as binary strings, I can't just randomly generate a list of byte strings, to be used as initial population. Rather I randomly choose N-many 5-element tuples from possible RLNC configuration set, where N = population size of GA.
One good thing about GA selection operator is it doesn't attempt to modify any chromosome, it just randomly chooses from current population while putting more preference on chromosomes having better fitness values. And that's why I don't have to devise any specific kind of selection operator. I make use of tournament selection operator with tournament size of 3. Meaning if I decide to maintain population size of 20, I'll be randomly selecting 3 elements from current population & run a tournament on them to decide who gets to be selected to become a parent. I do another round of tournament selection to find another parent & finally crossover them while respecting crossover probability. That answers fifth question.
As I mentioned before, crossover will be little problematic because I define chromosomes as 5-element tuple instead of binary strings.
It calls for special treatment, before two tournament selected parents can be mated for generating two children. I devise a way where I
place possible piece sizes in ascending sorted order in a set, when total data chunk size is given.
As I'm working with 8-bytes whole data chunk, allowed piece sizes are
1-byte, 2-bytes, 3-bytes & 4-bytes. Placing them in ascending sorted order in a set gives me {1, 2, 3, 4} --- calling it
piece-size-set.
For first parent, say (4, 2, 0, 2, 1) is individual's chromosome, I find respective piece size ( read 4, at index 0 of tuple )'s index
in piece-size-set, which is 3. I randomly select one shift factor from range [0, len(piece-size-set)), which I'll
use for shifting piece size index ( read 3 ) leftwards/ rightwards. I get shift factor 2, while I'm working with piece-size-set of length 4.
Now for generating first child, I randomly decide to shift first parent's piece size index ( read 3 ) leftwards by shift factor 2.
This gives me new shifted index ( 3 - 2 ) % 4 = 1. I look up piece size at index 1 of piece-size-set,
which is 2. Using piece size 2, I can prepare 4 pieces, because I've to split 8-bytes of whole chunk & I don't need to pad any extra zero bytes.
So I've 4 pieces, I can group them together in any of two possible ways.
I randomly choose to code 2 pieces together, which gives me first child ( 2, 4, 0, 2, 2 ) ---
a valid newly generated individual. I say generated first child is valid because I can find its presence in above table.
Similarly for preparing second child, I decide to randomly shift second parent's
piece size index ( read 0, because second parent is (1, 8, 0, 8, 1) ) rightwards by shift factor 2.
Shifted index is ( 0 + 2 ) % 4 = 2, where piece size is 3. If piece size is 3, piece count is also 3,
by appending 1 extra byte. With this piece size, I've 3 pieces, which is prime, resulting that I need to code those 3 pieces together
in a single generation. So obtained second child's chromosome looks like (3, 3, 1, 3, 1) --- definitely
a valid RLNC configuration.
Mutation invites random genetic diversity in next population, which is helpful when search space is large & mostly unchartered, where exploration is of prime interest, rather than exploitation of known tricks. Mutation is a unary operator i.e. it takes a single chromosome & applies operator which results into a new chromosome i.e. individual. Same as crossover, I make use of shift factor, which I randomly choose from [0, len(piece-size-set)) --- using 3 this time. Second child chromosome (3, 3, 1, 3, 1) i.e. result of application of crossover operator is decided to be mutated. Index of piece size ( read 3 ) of this RLNC configuration is 2, in piece-size-set. This piece-size-set is same as before used during crossover --- {1, 2, 3, 4}. Random decision to shift piece size index rightwards by shift factor 3, gives shifted index (2 + 3) % 4 = 1, looking up piece size at index 1 of piece-size-set gives 2. With piece size of 2 bytes, I can have 4 pieces, while spending 0 on extra pad bytes. Again 4 pieces can be coded in any of possible two ways.
I randomly choose second way, giving me RLNC configuration (2, 4, 0, 4, 1), which is an individual of next GA population.
The last question is already answered --- atleast after defining crossover & mutation operator, which generates valid child chromosome(s),
where each of them are valid RLNC configuration for specified total data chunk length ( read 8 here ).
Now I've everything I need to run GA & figure out what's best possible RLNC configuration --- evidently it's (4, 2, 0, 2, 1) costing 21.6 bytes over wire.
With this configuration 8 bytes total chunk to be splitted into 2 pieces, each of 4 bytes length & those two pieces are coded together in a single RLNC generation,
while no extra padding bytes are used.
I run GA on 1024 bytes chunk for determining cheapest possible RLNC configuration, with GA population size 50 i.e. 50 chromosomes ( read possible solutions )
to be maintained in each generation. And I run GA for 50 generations, after that lowest cost solution is what GA was able to figure out --- though
it doesn't anyhow guarantee it finds optimal one.
I also enable elitism setting, which passes best individual of certain generation to next generation without any modification, respecting genetic
elitist behaviour. This ensures once an elite i.e. low cost RLNC configuration is found, it won't be lost until some lower cost
alternative individual is found --- providing me with guarantee if lowest cost RLNC configuration is ever found, genetic operators won't touch it.
After 50 generations, GA has discovered (128, 8, 0, 8, 1) as lowest cost RLNC configuration --- costing 1305.6 bytes over wire.
This configuration asks to split 1024 bytes original data chunk into 8 pieces, each of size 128 bytes. And those 8 pieces are coded together in a single generation.
I collected metrics on how GA performed in each generation --- what're minimum ( blue ), maximum ( red ), mean ( green ), median ( black ) fitness values in each of these generations. I'm specifically interested in how minimum fitness of each generation converges to lowest possible cost. It says around generation 2, cheapest configuration discovered reached ~1325 bytes, which stayed there for next few generations ( read genetic elitism at work ). And before generation count reached even 10, GA has discovered cheapest possible RLNC configuration with cost over wire of 1305.6 bytes. Data says cheapest possible configuration discovered is never lost after it's found for first time.
Using conventional way, I can discover top 10 cheapest RLNC configurations, which doesn't enlist (128, 8, 0, 8, 1) as cheapest, rather (114, 9, 2, 9, 1) is cheaper with cost over wire of 1303.8 bytes. But GA didn't choose it, as this configuration requires to pad extra 2 bytes of data at end, which is pure waste --- resulting second cheapest configuration being treated as cheapest in terms of GA, while still being little bit expensive. This behaviour is due to how I defined fitness function of chromosomes, which sums padding bytes & cost over wire. Taking first, second cheapest configurations & computing their fitness values, results into (1303.8 + 2) = 1305.8 & (1305.6 + 0) = 1305.6 --- evidently RLNC configuration (128, 8, 0, 8, 1) is chosen as cheapest by GA.
RLNC cost distribution & its change with respect to changes in other params like generation size ( blue ), total piece count ( green ), extra padding bytes ( black )
depicts when total piece count is max, #-of generations is max, padding bytes cost is 0, but cost over wire is highest. This is no doubt the configuration
where each byte is considered as a piece, making 1024 pieces, which are coded together in 512 generations total. No extra bytes were padded, but it costs very high
due to presence of lots of coding coefficient vectors, which are sent from source to destination over wire.
Required padding bytes plot ( black ) shows nice pattern over possible choice set. It's because some piece size choices are able to fully
divide 1024 ( read total chunk size ), while some are not. Between any two such piece size choice, which are able to fully divide
total chunk size i.e. 1024, possible piece size choices require increasing #-of extra padding bytes until reaches some highest value
which then abruptly falls to 0 at next piece size choice, able to fully divide 1024. This keeps happening again & again, this way highest possible
required padding bytes size may reach 200 bytes for Random Linear Network Coding 1024 bytes original chunk.
By applying GA, I'm able to find out cheapest RLNC configuration, when coding 1024 bytes chunk. Increasing total chunk size also
increases possible #-of valid RLNC configurations to a great extent, which calls for some GA hyperparameter optimization i.e. tuning
required population size, generation count, crossover/ mutation probability, tournament size etc. for reaching optimal/ close to optimal
configuration.
For future reference I keep a jupyter notebook with exploration code here.
Further I plan to explore does it make sense to use GA for determining cheap RLNC configuration in practice,
where solution space is probably much larger due to presence of huge chunk size ?


Starfinder |
Ship Name |
Tier |
Page 1 |
|
|
Starfinder |
Ship Name |
Tier |
Page 2 |
| d% | System | Crewman | Glitching | Malfunctioning | Wrecked |
|---|---|---|---|---|---|
| 1-10 | Life Support | Captain | |||
| 11-30 | Sensors | Science Officer | |||
| 31-60 | Weapons array | Forward Gunner | |||
| Port Gunner | |||||
| Starboard Gunner | |||||
| Aft Gunner | |||||
| 61-80 | Engines | Pilot | |||
| 81-100 | Power Core | Engineer* | † | ‡ | |
| -2 penalty | -4 penalty. Push actions fail. |
All actions fail. |
* Penalty does not apply to the hold it together or patch actions.
† If the power core is malfunctioning, all actions aboard the starship not involving the power core take a -2 penalty; this penalty stacks with penalties from critical damage conditions affecting other systems.
‡ If the power core is wrecked, all crew actions aboard the starship not involving the power core take a -4 penalty; this penalty stacks with penalties from critical damage conditions affecting other systems. A ship with a wrecked power core also risks crew damage.
Shaded hexes are in both arcs (attacker's choice).
Starfinder |
Ship Name |
Tier |
Page 3 |
*: DC depends on tier of enemy ship.
P: Push action.
†: Action costs resolve.


Fuel consumption and gross horsepower of automobile design for 32 automobiles. 1973–74 models.
Visualizatoin based on D3 and http://bl.ocks.org/MoritzStefaner/1377729. Data source: 1974 Motor Trend US magazine.


APPLICATIONS OF THE THEORY OF OPTIMAL CONTROL OF
DISTRIBUTED-PARAMETER SYSTEMS TO STRUCTURAL OPTIMIZATION
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF AERONAUTICS AND ASTRONAUTICS AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
Jean-Louis Pierre Armand
August 1971


The database user should only be granted SELECT permissions on the specified database & tables you want to query.
Grafana does not validate that queries are safe so queries can contain any SQL statement. For example, statements
like USE otherdb;
and DROP TABLE user;
would be executed. To protect against this we
Highly recommmend you create a specific MySQL user with restricted permissions.
Checkout the MySQL Data Source Docs for more information.


OpenDSA License
OpenDSA Project
Distributed under the MIT License
Copyright (c) 2011- - Ville Karavirta and Cliff Shaffer
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.