Click on the vendors to view complete information
| Photos | Description | Quantity | Advance Balance Date | Manufacturing Days | Delivery Date | Inspection Date(Planned) | |
|---|---|---|---|---|---|---|---|
| Bed | 1 | 1 April 2020 | 20 | 20 April 2020 | 21 April 2020 |
| Photos | Description | Quantity | Advance Balance Date | Manufacturing Days | Delivery Date | Inspection Date(Planned) | |
|---|---|---|---|---|---|---|---|
| Bed | 1 | 1 April 2020 | 20 | 20 April 2020 | 21 April 2020 | ||
| Bed | 1 | 1 April 2020 | 20 | 20 April 2020 | 21 April 2020 |
| Photos | Description | Quantity | Advance Balance Date | Manufacturing Days | Delivery Date | Inspection Date(Planned) | |
|---|---|---|---|---|---|---|---|
| Bed | 1 | 1 April 2020 | 20 | 20 April 2020 | 21 April 2020 |
| Photos | Description | Model | Color | Remarks | Quantity | Unit Price | Manufacturing Dates | Inspection Date | Shipment Number | |
|---|---|---|---|---|---|---|---|---|---|---|
| Bed | Teak Wood | SAS | Full Leather | 1 | 18300 | 15 | 06 April 2020 | 1 |
| Photos | Description | Model | Color | Remarks | Quantity | Unit Price | Manufacturing Dates | Inspection Date | Shipment Number | |
|---|---|---|---|---|---|---|---|---|---|---|
| Bed | Teak Wood | SAS | Full Leather | 1 | 18300 | 20 | 11 April 2020 | 2 |
| Photos | Description | Model | Color | Remarks | Quantity | Unit Price | Manufacturing Dates | Inspection Date | Shipment Number | |
|---|---|---|---|---|---|---|---|---|---|---|
| Bed | Teak Wood | SAS | Full Leather | 1 | 18300 | 25 | 16 April 2020 | 3 | ||
| Bed | Teak Wood | SAS | Full Leather | 1 | 18300 | 25 | 16 April 2020 | 3 |


pyglet Programming Guide¶
The pyglet Programming Guide provides in-depth documentation for writing applications that use pyglet. Many topics described here reference the pyglet API reference, provided separately.
If this is your first time reading about pyglet, we suggest you start at Writing a pyglet application.
- Installation
- Writing a pyglet application
- Creating an OpenGL context
- The OpenGL interface
- Graphics
- Windowing
- The application event loop
- The pyglet event framework
- Working with the keyboard
- Working with the mouse
- Working with other input devices
- Keeping track of time
- Displaying text
- Images
- Sound and video
- Application resources
- Debugging tools
- Appendix: Migrating to pyglet 1.1


{% extends "template.html" %} {% block main %}
To serve requests from a sub-path, add a context handler using the {{ javadoc("io.muserver.ContextHandlerBuilder") | raw }} class, and then add handlers to that context.
The request object can provide the full path, or the context path, or path relative to the context.
Contexts can also be nested.
The following example exposes 3 paths:
/something
/api/something
/api/nested/something
The corresponding requests have the following values:
| Full path | Context path | Relative path |
|---|---|---|
/something |
/ |
/something |
/api/something |
/api |
/something |
/api/nested/something |
/api/nested |
/something |
One common case for contexts is hosting static data on a sub-path. To do that, just add a
resource handler to a context. The example hosts static data at /static
:


Kenic scores 15 to carry Chattanooga past Alabama St. 74-56
by The Associated PressNICEVILLE, Fla. (AP) — Stefan Kenic came off the bench to score 15 points to lead Chattanooga to a 74-56 win over Alabama State in the Emerald Coast Classic on Friday.
Ramon Vila had 13 points for Chattanooga (4-3). David Jean-Baptiste added 11 points and Matt Ryan scored 10 points for the Mocs. Rod Johnson had eight points and eight rebounds.
Chattanooga forced 11 turnovers in the first half and raced to a 48-22 halftime lead.
Tobi Ewuosho had 10 points and eight rebounds for the Hornets (0-6).
The Emerald Coast Classic concludes on Sunday. Chattanooga takes on Jacksonville State and Alabama State faces Chicago State.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
Elements of this story were generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
The Associated Press


This example illustrates how to use the Focus Manager Node Plugin, Event's delegation support and mouseenter event, along with the Overlay widget and Node's support for the WAI-ARIA Roles and States to create an accessible menu button.


net = somunpak(net, w)
net = somunpak(net, w)
takes a SOM data structure net
and
weight matrix w
(each node represented by a row) and
puts the nodes back into the multi-dimensional array net.map
.
The ordering of the parameters in w
is defined by the indexing of the
multi-dimensional array net.map
.
som
, sompak
Copyright (c) Ian T Nabney (1996-9)


Authors: Jean-Pierre Bérenger
Source: FERMAT, Volume 9, Article 4, May_Jun, 2015
Abstract: This paper reviews the absorbing boundary conditions (ABCs) used in the past 40-45 years to solve open problems with such numerical techniques as the finite difference or the finite element methods. Numerous ABCs have been proposed over the years in the various domains of Physics. The review is limited to the local ABCs that have been used in numerical electromagnetics, even if some were initially introduced in acoustics. More specifically, the review addresses the ABCs used before 1994, which were mainly analytical ABCs, the Perfectly Matched Layer (PML), used in the past 20 years, and the recently introduced Huygens ABC (HABC). The ABCs are briefly described, with an emphasis on their drawbacks and limitations. A special attention is paid to the absorption of the evanescent waves which is a critical question in the matter of ABCs.
Index Terms: Absorbing Boundary Condition, ABC, PML, Numerical Method, Electromagnetics, FDTD, FEM.
View PDF
A Historical Review of the Absorbing Boundary Conditions for Electromagnetics


Abokomanhene of Awutu Awin-taso in the Awutu Senya West District of the Central Region, Nai Akufu, was crushed to death by a Sprinter Benz Bus, whose driver refused to stop, Seth Ankomah Adjei, Adom News Central Regional Correspondent has reported.
More soon.


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{{shop.city.name}}
{{shop.globalNote | number:1}}
{{shop.nbReviews}} {{'REVIEWS' | translate}}


Identify and visualize expressed transcripts in RNA-seq data |
Added by GenomeSpaceTeam on 2015.04.21
Last updated on over 3 years ago.
Which genes are highly expressed, based on my RNA-seq data? Are any of the highly expressed genes also differentially expressed?
This recipe provides an outline of one method to identify and visualize genes and isoforms that are highly expressed in RNA-seq data. In particular, this recipe utilizes an analysis pipeline, allowing a user to chain together multiple analysis steps into one workflow that can be run in one step. An example use of this recipe is a case where an investigator wants to process several datasets in the same way, in which case the pipeline will allow the investigator to re-use the same modules and parameters, over and over again.
Given a set of raw RNA-seq reads, the goal is to align the reads to a reference genome, estimate expression abundance levels for reference genes and isoforms, filter out low-expressed genes and isoforms, and visualize the read alignments and their expression levels. In particular, this recipe uses the UCSC Table Browser to retrieve a reference genome to align RNA-seq reads against. We also uses several modules in GenePattern to align the reads against the reference genome, and to identify differentially expressed genes when comparing two conditions. Finally, we use IGV to visualize the differentially expressed genes.
Why differential expression analysis? We assume that most genes are not expressed all the time, but rather are expressed in specific tissues, stages of development, or under certain conditions. Genes which are expressed in one condition, such as cancerous tissue, are said to be differentially expressed when compared to normal conditions. To identify which genes change in response to specific conditions (e.g. cancer), we must filter or process the dataset to remove genes which are not informative.
To complete this recipe, we will need RNA-seq reads, and reference gene annotations to align the reads against. In this example, we examine human RNA-seq data. The RNA-seq reads are in FASTQ/FASTA > format, and can be gzipped. We will need the following datasets, which can be downloaded from the GenomeSpace Public folder.
Public
> RecipeData
> SequenceData
> RNA_seq.r1.fastq
: this is human RNA-seq data, forward reads.
Public
> RecipeData
> SequenceData
> RNA_seq.r2.fastq
: this is human RNA-seq data, reverse reads.
In this step, we use the UCSC Table Browser to retrieve reference gene annotations corresponding to the reference genome for our example data. If you are using your own data, you may already have a reference gene annotation file, or you may need to search for one matching your reference genome here.
clade
: Mammalgenome
: Humanassembly
: Feb. 2009 (GRCh37/hg19)group
: Genes and Gene Predictionstrack
: UCSC Genesregion
: genomeoutput format
: GTF - gene transfer formatSend output to
: Select the GenomeSpace checkbox.output file
: Give the output a name. For the example data, we name it UCSC_hg19.gtf
.get output
to retrieve the file. This will take you to a new page which loads the file to GenomeSpace. The output file should appear in your GenomeSpace home directory.In this recipe, we want to perform multiple analyses using GenePattern tools, specifically TopHat
and Cufflinks
. We will use TopHat
in GenePattern to align the RNA-seq raw reads to a reference genome. Next, we will use Cufflinks
to assemble transcripts and estimate the expression levels. We can combine these modules into a pipeline to perform the analysis in an efficient manner. Once saved, a pipeline may be reused or re-purposed for subsequent analyses.
NOTE: If you have not yet associated your GenomeSpace account with your GenePattern account, you will be asked to do so. If you do not yet have a GenePattern account, you can automatically generate a new account that will be associated with your GenomeSpace account.
Modules & Pipelines
tab on the GenePattern toolbar. Do not click; instead, hover your cursor over the tab and click New Pipeline
in the drop-down menu to load the Pipeline Designer interface.Pipeline Name
to, e.g., RNA_Exp. Other descriptive information (Description, Author, etc.) may be added by the user as desired.TopHat
to the pipelineSearch Modules
field or the Browse Modules
button, select the TopHat
module. A purple box titled TopHat
will appear in the designer space while the right-hand information panel will change to display TopHat
-specific parameters.GTF.file
checkbox.prebuilt.bowtie.index
context menu, choose "Homo_sapiens_hg19_UCSC".reads.pair.1
checkbox.reads.pair.2
checkbox.library.type
context menu, choose "Standard Illumina (fr-unstranded)".
Picard.SortSam
to the pipelineSearch Modules
field or the Browse Modules
button, select the Picard.SortSam
module. A purple box titled Picard.SortSam
will appear in the designer space while the right-hand information panel will change to display Picard.SortSam
-specific parameters.output.format
context menu, choose BAM.
TopHat
and Picard.SortSam
modules by clicking on the arrow button in the bottom-right corner of the TopHat
box (output) and dragging to the arrow button at the top-left corner of the Picard.SortSam
box next to input.file. A purple arrow should appear, connecting the two modules.Picard.SortSam
output box and choose bam.Cufflinks
to the pipelineSearch Modules
field or the Browse Modules
button, select the Cufflinks
module. A purple box titled Cufflinks
will appear in the designer space while the right-hand information panel will change to display Cufflinks
-specific parameters.GTF.file
to have the pipeline prompt the user to provide this file when run.
Picard.SortSam
and Cufflinks
modules by clicking on the arrow button in the bottom-right corner of the Picard.SortSam
box (output) and dragging to the arrow button at the top-left corner of the Cufflinks
box next to input.file. A purple arrow should appear, connecting the two modules.Cufflinks
output box and choose genes.fpkm_tracking.Fpkm_trackingToGct
to the pipelineSearch Modules
field or the Browse Modules
button, select the Fpkm_trackingToGct
module. A purple box titled Fpkm_trackingToGct
will appear in the designer space while the right-hand information panel will change to display Fpkm_trackingToGct
-specific parameters.Cufflinks
and Fpkm_trackingToGct
modules by clicking on the arrow button in the bottom-right corner of the Cufflinks
box (output) and dragging to the arrow button at the top-left corner of the Fpkm_trackingToGct
box next to input.file. A purple arrow should appear, connecting the two buttons.Save
button to save the pipeline.Run Pipeline
button in the dialog box to run the pipeline.NOTE: A Pipeline Issues dialog box may appear, displaying warnings found in the pipeline. In the case of our model recipe, these warnings may be ignored.
GenomeSpace
tab in the GenePattern menu, navigate to the location of your input files. In this example recipe, we will use files RNA_seq.r1.fastq
and RNA_seq.r2.fastq
.GTF file
parameter, click the Upload your own file
button. Navigate to Your Home Directory
, then click and drag the GTF file, UCSC_hg19.gtf
, to the input box.Public
> RecipeData
> SequenceData
and drag the first FASTQ file, RNA_seq.r1.fastq
, to the reads pair 1
parameter.RNA_seq.r2.fastq
, to the reads pair 2
parameter.GTF file
parameter, click the Upload your own file
button. Navigate to Your Home Directory
, then click and drag the GTF file, UCSC_hg19.gtf
, to the input box.Run
to submit the pipeline job.
NOTE: It may take several hours to run this pipeline, depending on the size of the files and whether you are using the GenePattern public server.
Example output from the pipeline:
In this recipe step, we will save the results from the GenePattern pipeline back to GenomeSpace, for further use..
TopHat1.reads.pair.1.accepted_hits.sorted.bam
TopHat1.reads.pair.1.accepted_hits.sorted.bai
genes.gct
genes.gct
), then choose Save to GenomeSpace
.Modules & Pipelines
start page, navigate to Jobs
. Click on the file, then choose Send to GenomeSpace
.We will use IGV to visualize the differential expression and abundance levels in the genes.gct file, and check the quality of the mapped alignments from the BAM files.
Launch
, prompting the download of a .jnlp file. Double-click the file to launch IGV.File > Load from Server...
.Annotations > Genes
. Choose the UCSC Genes checkbox.OK
to load the dataset.
GenomeSpace
tab to import files by clicking on the Load File from GenomeSpace...
option.Open
. Load the following files into IGV:RNA_seq.r1.accepted_hits.sorted.bam
genes.gct
To visualize the FPKM counts for specific genes, we use the genes.gct
file and the UCSC gene annotation information.
genes.gct
file. Select Preview
from the context menu.tracking_id
). In this example, we use uc001aal.Go
button. A visual representation of the mapped reads will appear.This is an example interpretation of the results from this recipe. First, we used GenePattern to create and run a pipeline which aligned raw reads from RNA-seq to a reference genome (pre-built in Bowtie) using TopHat
, then identified differentially expressed genes using Cufflinks
. We then used IGV to visualize the FPKM counts of the aligned reads for an example gene, uc001aal.
The wt_FPKM track is red in the region of the uc001aal gene, which indicates a high FPKM count for that gene. If we examine the *.accepted_hits.bam track in IGV, we can see that we have several reads aligning to this particular gene in the genome. However, the results in this example are not necessarily significant and are only a simple representation of possible results.


Plugin Information |
|---|
View Piwik Analytics on the plugin site for more information. |
This plugin decorates all web pages with the Piwik Analytics tracking script.
Use this plugin to add the Piwik Analytics tracking script to all web pages that are served by the Jenkins installation.
Configuring
To configure this plugin you will need a Piwik Site Id, the piwik server hostname and the piwik path on this server.
In this sample of piwik tracker code:
var _paq = _paq || []; _paq.push(['trackPageView']); _paq.push(['enableLinkTracking']); (function() { var u="//stats.mydomain.io/piwik/"; _paq.push(['setTrackerUrl', u+'piwik.php']); _paq.push(['setSiteId', {6}]); var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0]; g.type='text/javascript'; g.async=true; g.defer=true; g.src=u+'piwik.js'; s.parentNode.insertBefore(g,s); })();
the Site Id is 6, the piwik host is stats.domain.net and the piwik path is /piwik/
Changelog
1.2.0 (20 May 2016)
- Use the piwik 2.x javascript tracker code
- Add an option to force the usage of https (by default, the protocol used to call the piwik tracker is the same as the one of the page from which the call is made)
- Use the asynchronous piwik code for everyone
1.1.0 (17 Mar 2013)
- Add the possibility to use the asynchronous piwik API call (available since Piwik 1.11)
1.0 (06 Nov 2013)
- Initial release


David Bowie
The star who transcended music, art and fashion
Timeline of Bowie life from his early career to Ziggy Stardust...
-
David Robert Jones was born on 8 January 1947 in Brixton, London.
- Bowie studied art, music, and design, including layout and typesetting.
-
He received a serious injury at school in 1962 when his friend George Underwood punched him in the left eye during a fight over a girl. After a series of operations during a four-month hospitalisation, his doctors determined that the damage could not be fully repaired and Bowie was left with faulty depth perception and anisocoria (a permanently dilated pupil), which gave a false impression of a change in the iris's colour, erroneously suggesting he had heterochromia iridum (one iris a different colour to the other); the eye later became one of Bowie's most recognisable features.
-
Bowie formed his first band, the Konrads, in 1962 at the age of 15.
-
Studying the dramatic arts under Lindsay Kemp, from avant-garde theatre and mime to commedia dell'arte, Bowie became immersed in the creation of personae to present to the world.
-
Playing acoustic guitar, Hermione Farthingale formed a group with Bowie and guitarist John Hutchinson named Feathers; between September 1968 and early 1969 the trio gave a small number of concerts combining folk, Merseybeat, poetry, and mime.
-
On 11 July 1969, "Space Oddity" was released five days ahead of the Apollo 11 launch, and reached the top five in the UK.
-
Bowie's third album, The Man Who Sold the World (1970), which contained references to schizophrenia, paranoia, and delusion. It represented a departure from the acoustic guitar and folk-rock style established by Space Oddity, to a more hard rock sound.
-
During the tour, Bowie's observation of two seminal American proto-punk artists led him to develop a concept that eventually found form in the Ziggy Stardust character: a melding of the persona of Iggy Pop with the music of Lou Reed, producing "the ultimate pop idol".
-
Dressed in a striking costume, his hair dyed reddish-brown, Bowie launched his Ziggy Stardust stage show with the Spiders from Mars—Ronson, Bolder, and Woodmansey—at the Toby Jug pub in Tolworth in Kingston upon Thames on 10 February 1972. The show was hugely popular, catapulting him to stardom as he toured the UK over the next six months and creating, as described by Buckley, a "cult of Bowie" that was "unique—its influence lasted longer and has been more creative than perhaps almost any other force within pop fandom."
-
The Rise and Fall of Ziggy Stardust and the Spiders from Mars (1972), combining the hard rock elements of The Man Who Sold the World with the lighter experimental rock and pop of Hunky Dory, was released in June and was considered as one of the defining albums of glam rock.
-
"Starman", issued as an April single ahead of the album, was to cement Bowie's UK breakthrough: both single and album charted rapidly following his July Top of the Pops performance of the song. The album, which remained in the chart for two years, was soon joined there by the 6-month-old Hunky Dory. At the same time, the non-album single "John, I'm Only Dancing", and "All the Young Dudes", a song he wrote and produced for Mott the Hoople, were successful in the UK. The Ziggy Stardust Tour continued to the United States.
-
His own Aladdin Sane (1973) topped the UK chart, his first number-one album. Described by Bowie as "Ziggy goes to America", it contained songs he wrote while travelling to and across the US during the earlier part of the Ziggy tour, which now continued to Japan to promote the new album. Aladdin Sane spawned the UK top five singles "The Jean Genie" and "Drive-In Saturday".
-
Bowie's love of acting led to his total immersion in the characters he created for his music. "Offstage I'm a robot. Onstage I achieve emotion. It's probably why I prefer dressing up as Ziggy to being David." With satisfaction came severe personal difficulties: acting the same role over an extended period, it became impossible for him to separate Ziggy Stardust—and later, the Thin White Duke—from his own character offstage. Ziggy, Bowie said, "wouldn't leave me alone for years. That was when it all started to go sour ... My whole personality was affected. It became very dangerous. I really did have doubts about my sanity."
-
After breaking up the Spiders from Mars, Bowie attempted to move on from his Ziggy persona. His back catalogue was now highly sought after: The Man Who Sold the World had been re-released in 1972 along with Space Oddity. "Life on Mars?", from Hunky Dory, was released in June 1973 and peaked at number three on the UK Singles Chart.
-
Pin Ups, a collection of covers of his 1960s favourites, followed in October, producing a UK number three hit in his version of the McCoys's "Sorrow" and itself peaking at number one, making David Bowie the best-selling act of 1973 in the UK. It brought the total number of Bowie albums concurrently on the UK chart to six.


140216 - Week 1
It's been an enlightening journey so far. This first week we've been through what's called version control.
What's version control?
Version control is project developer's version of iCloud. Seeing as there's so many developers all working on a single project, there needs to be a system where everyone can back up their work into the cloud, and also retrieve work from the cloud.
Git is the source code management system that we'll be using. Every time you start work on a part of the project, you create a new copy, or 'branch' of the project to work on. After you finish your work for the day and want to include your finished work into the actual project, you merge your branch with the original, or 'master', branch.
So what's so great about version control?
Version control allows multiple developers to simultaneously contribute to the project instead of all working on shared folders. Without version control, if a new version of the project you're working on suddenly stops working because of bugs, then you'll have no 'backup' to go back to. With version control, since your branch is a copy of the original project, the bug will only affect the separate branch that the developer was working on.
So how does Git help you track these changes?
As mentioned above, when using git, all your work will be done on separate branches that are just copies of the original project just for one developer to work on. After you finish work, you will 'commit' the changes you have made to the project by sending in a commit - the 'bundle' of changes you have just sent in to merge with the project. This commit will have a message attached to it - normally this message will have a detailed description on what changes were made and all the details of the change. This is how git tracks all these changes - if you want to revert to a previous instance of your work, then you can see your list of commits and choose which one to reset to.
What is Github and why should I trust it with my code??
Github is an online space for developers to share and code together. Each user has their own profile and their own repositories for their code. It allows you to upload your projects into these repositories so that other people can access this project online. It also allows you to limit who updates your projects by requiring uploaders to make 'pull requests' in order to update the file.


{% extends 'base_signup.html' %} {% load bootstrap3 %} {% block title %}Wisdom Drivers{% endblock %} {% block heading %}Sign In{% endblock %} {% block content %}
Become a Wisdom Drivers associated Company: Do you have a Trucking/Delivery Service and want the advantage of premier Machine Learning and A.I analytics serices to help keep you inform Become a Wisdom Drivers Business : Do You have something that needs to be shipped or picked up?


Welcome to Foundation
This is a version for NYS ITS RWD R&D.
Current Progress
Current Prototype List


Chiang Mai Trekking
A huge component of the tourism industry here are 'treks'. There are hilariously worded (seriously, has no one heard of google translate?) posters for adventures - elephant riding, rafting, visiting hill-tribes, zip-lining, and hiking - all around the city. Many hostels, including Julie's, will not let you stay more than a few days unless you book a trek through them. We really liked Julie's, and I really wanted to go on a trek, so we decided to take the plunge.
However, we didn't want to stay with hill-tribe people (something about paying people so you can blatantly stare at their 'culture' does not sit well with me), and we did not want to ride elephants (training elephants consists of chaining them up and poking them with sticks for days until their spirits break, and riding elephants is also terrible for their backs).  Ideally, we would have found a wonderful hike and waterfall on our own, but figuring out how to get to a good area with no car and no good online directions is difficult. 1200 baht ($40) per person was a lot, but it turned out to be absolutely worth it.
Grumpypants
Okay, so honestly, I was a bit bitter when we set out.  A freaking hike! What a rip off, and it was all my fault. Sleepily, Jacob and I piled into the covered back of a truck with four other travelers - a couple from Belgium and a couple on their honeymoon from Isreal, and the ride started. My mood slowly lifted as we drove the long drive to wherever we were going. The other hikers were friendly; they were, like us, not so keen on the idea of staring at hill-tribe people for money or effectively encouraging elephant abuse. Also, as we drove on, the landscape became more and more jungly: more and more beautiful. After an hour and a half of driving, I grudgingly admitted to myself that even with a rented car and a lot of interneting, I would not have known how to get to this place.
We had arrived at a notorious 'hill-tribe' village. What this really meant is a neighborhood / town of fairly poor farmers; I'm not sure where 'tribe' comes into it. Local dogs and chickens pattered around but for the most part the place looked deserted of people. We stopped into a small store to buy some water, walked around a few houses (this made me feel intrusive, but we saw no one), and eventually made it to a tiny trail on a hill that led through a field of rice.
High
As we started decending out of the (gorgeous) farming fields and into the forest, the beauty of it all really hit me. I don't know about everyone else, but I used to dream of rainforests as a kid. I remember imagining walking through jungle so lush and green that ... absolutely every space was filled with something alive and different and verdant. And this was it!  Jacob and I have discussed this: we literally get a feeling of being high when we see beautiful natural scenes. And friends, family, relatives, conservative folk: I was high as a kite.
Hike
The trail we were on was clearly remote, it was just us six and our guide - I asked our guide about it, and he laughed and described how his boss had bribed a government official in order to get permission to make the trail. Is it bad that this made me feel good about spending so much money?...Tarzan could have been happy here. Thick vines descended from many of the trees, curving and graceful but still strong enough to stand on. It would be awesome to have some of these in your back yard!
Swimming!
Finally, we made it to the waterfalls!
(The guide brought his dogs on the hike)


rOpenSci
is a software collective that provides R based tools to enable
access to scientific data repositories, full-text of articles, and
science metrics and also facilitate a culture shift in the
scientific community towards reproducible research practices.
Contact:
Karthik Ram


Probabilistic modeling of grayscale images
Introduction
Around 50 million images are uploaded every month to Flickr alone. Just like the throw of two dice, every image can can be thought of as an instance of a random variable with a certain probability distribution. Our goal here will be no less than to learn this distribution.While we may be able to use a histogram to estimate the distribution of dice throws, $\mathbf{d}_i \in \{1, ..., 6\}^2$, even a black and white image $\mathbf{I} \in \{0, 1\}^{640 \times 480}$ with only 640 by 480 pixels can already take on $2^{640 \cdot 480}$ different values. Estimating its distribution thus may seem like an impossible thing to do.
Luckily, under certain assumptions, the full distribution of images can be captured by just a single conditional distribution. Instead of learning a distribution over many pixels, we are going to learn the distribution of only a single pixel (yellow) given what we call a causal neighborhood of pixels (blue). Importantly, the causal neighborhood is only allowed to contain pixels which are above the pixel, or which are in the same row and left of it.
Generating datasets
Before we can start learning a conditional distribution, we need to generate a dataset of input and output pairs, where the input size is determined by the size of the causal neighborhood. For this, we use the functiongenerate_data_from_image
.
from cmt.tools import generate_data_from_image
The function expects an image, a mask describing the causal neighborhood and a
mask describing the output pixel relative to the causal neighborhood. The following code snippet
gives an example of a valid pair of masks.
input_mask = [
[1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 0, 0, 0, 0]]
output_mask = [
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0]]
For now, we are also going to focus on grayscale images.
from cmt.tools import imread, rgb2gray
img = rgb2gray(imread('newyork.png'))
The following command extracts 220,000 data points for us.
inputs, outputs = generate_data_from_image(
img, input_mask, output_mask, 220000)
Depending on the application, we might want to extract data points from many
different images. Here, we only used a single image. We further split the data set into training,
validation, and test sets for later use.
from numpy import split
inputs = split(inputs, [100000, 200000], 1)
outputs = split(outputs, [100000, 200000], 1)
data_train = inputs[0], outputs[0]
data_test = inputs[1], outputs[1]
data_valid = inputs[2], outputs[2]
Fitting model parameters
To represent the conditional distribution, we are going to use a so called mixture of conditional Gaussian scale mixtures, orMCGSM
.
from cmt.models import MCGSM
model = MCGSM(
dim_in=data_train[0].shape[0],
dim_out=data_train[1].shape[0],
num_components=8,
num_scales=4,
num_features=30)
The arguments num_components
, num_scales
, and
num_features
control the number of parameters of the model. To
fit the parameters to the data, we call the function train
on the
training and validation sets.
The validation set is used to prevent overfitting using
early stopping.
from itertools import chain
model.train(*chain(data_train, data_valid))
However, the optimization will work better if we preprocess the data first. For this,
we can use either PCAPreconditioner
or WhiteningPreconditioner
.
from cmt.transforms import WhiteningPreconditioner
pre = WhiteningPreconditioner(*data_train)
This object will center the data, normalize the variances, and decorrelate
inputs and outputs. Using PCAPreconditioner
,
we could have additionally reduced the dimensionality of the inputs, in
which case we would have to change dim_in
in the initialization of
the model.
model.train(*chain(pre(*data_train), pre(*data_valid)))
Finally, the parameters
argument expects a dictionary and allows us to control the
parameters of the optimization. See the documentation
for a list of parameters available.
model.train(*chain(pre(*data_train), pre(*data_valid)),
parameters={
'verbosity': 1,
'max_iter': 1000,
'threshold': 1e-7,
'val_iter': 5,
'val_look_ahead': 10
})
With the above parameters, the algorithm will stop after at most 1000 iterations. The validation
set is tested every 5 iterations. If the performance on the validation does not improve 10 times in a
row, the optimization is interrupted and the best set of model parameters found until then is
kept. Similarly, if the performance improvement on the training set is smaller than $10^{-7}$, the
optimization is stopped.Evaluating image models
To test the model's performance, we evaluate its average log-likelihood on the test set. For an unbiased estimate, we need to take into account the fact that we used a preconditioner to transform the data. This is achieved by adding the output oflogjacobian
to the output
of loglikelihood
.
from numpy import log
loglik = mean(
model.loglikelihood(*pre(*data_test)) + \
pre.logjacobian(*data_test)) / log(2.)
print 'Average log-likelihood: {0:.4f} [bit/px]'.format(loglik)
The division by $\log(2)$ changes the units of the loglikelihood from
nats to bits. A higher likelihood means
the model assigns a higher probability to the unseen data than another model. Or, in other words, a
model with a higher likelihood is better able to predict one set of pixels from another set of other pixels.Alternatively, we can use
evaluate
,
which computes the same as above except that it returns the negative average log-likelihood.
print 'Average log-likelihood: {0:.4f} [bit/px]'.format(
-model.evaluate(data_test[0], data_test[1], pre))
Note that this method expects untransformed data when a preconditioner is
specified.Synthesizing images
To generate a new image using the trained model, we use the methodsample_image
.
from cmt.tools import sample_image
img_sample = sample_image(
img,
model,
input_mask,
output_mask,
pre)
The first argument is an initialization of the image. In this case, we simply used
the image that we trained on, but we could have also used just random noise, for example.
The initialization is necessary because the model is only able to sample pixels for which the pixels
in the causal neighborhood are known. Hence, it cannot generate pixels which are near the boundary of the
image.All that is left to do is to save our results.
from cmt.tools import imwrite
from numpy import min, max
from pickle import dump
# save image
imwrite('newyork_sample.png', img_sample,
cmap='gray',
vmin=min(img),
vmax=max(img))
# save model
with open('image_model.pck', 'wb') as handle:
dump({
'model': model,
'input_mask': input_mask,
'output_mask': output_mask}, handle, 1)
The sample approximately reproduces many statistics of the original image.
The complete example can be found here: images.py.


jagsUI: A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.
| Version: |
1.5.0 |
| Depends: |
R (≥ 2.14.0), lattice |
| Imports: |
rjags (≥ 3-13), coda (≥ 0.13), parallel, stats, grDevices, graphics, utils |
| Published: |
2018-09-12 |
| Author: |
Ken Kellner |
| Maintainer: |
Ken Kellner <contact at kenkellner.com> |
| License: |
GPL-2 |
| URL: |
https://github.com/kenkellner/jagsUI |
| NeedsCompilation: |
no |
| SystemRequirements: |
JAGS (http://mcmc-jags.sourceforge.net) |
| Materials: |
NEWS |
| CRAN checks: |
jagsUI results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=jagsUI
to link to this page.


Lazio were robbed by Celtic insists Joaquin Correa as striker looks for payback
The Argentinian attacker is determined to claim all three points after feeling the result at Celtic Park was harsh on his side.
by Mark WalkerJoaquin Correa insists Lazio were robbed of victory by Celtic in their Europa League clash at Celtic Park.
And the Argentinian attacker is looking for revenge when Neil Lennon's men travel to Italy on Thursday.
Correa netted the winner as Lazio got their first win in the San Siro against AC Milan in 30 years on Sunday.
And he is determined to defeat the Hoops this week after claiming they were desperately unlucky to leave Parkhead with nothing last month.
He said: "We have been playing really well for a few weeks now and this was just the latest big win for us.
"Even when we lost, like in Glasgow against Celtic, we actually played really well. We didn't deserve to lose, but we have a chance to make up for it this week.
"Football can be like that sometimes where you are playing well and you still go away with nothing. But if we keep playing like that, we will win far more than we lose.
"I think I am improving every day as a player here and of course it helps a great deal when you work with a striker like Ciro Immobile.
"I have some amazing team mates at the club too. We are all very determined and ready to fight for Lazio.
"It's really important now we keep this run going and that means defeating Celtic this week to give ourselves a chance of qualifying in the Europa League. "


ECPARAM
Section: OpenSSL (1)Updated: 2009-04-10
Index Return to Main Contents
NAME
ecparam - EC parameter manipulation and generationSYNOPSIS
openssl ecparam [-inform DER|PEM] [-outform DER|PEM] [-in filename] [-out filename] [-noout] [-text] [-C] [-check] [-name arg] [-list_curve] [-conv_form arg] [-param_enc arg] [-no_seed] [-rand file(s)] [-genkey] [-engine id]DESCRIPTION
This command is used to manipulate or generate EC parameter files.OPTIONS
- -inform DER|PEM
- This specifies the input format. The DER option uses an ASN.1 DER encoded form compatible with RFC 3279 EcpkParameters. The PEM form is the default format: it consists of the DER format base64 encoded with additional header and footer lines.
- -outform DER|PEM
- This specifies the output format, the options have the same meaning as the -inform option.
- -in filename
- This specifies the input filename to read parameters from or standard input if this option is not specified.
- -out filename
- This specifies the output filename parameters to. Standard output is used if this option is not present. The output filename should not be the same as the input filename.
- -noout
- This option inhibits the output of the encoded version of the parameters.
- -text
- This option prints out the EC parameters in human readable form.
- -C
- This option converts the EC parameters into C code. The parameters can then be loaded by calling the get_ec_group_XXX() function.
- -check
- Validate the elliptic curve parameters.
- -name arg
- Use the EC parameters with the specified 'short' name. Use -list_curves to get a list of all currently implemented EC parameters.
- -list_curves
- If this options is specified ecparam will print out a list of all currently implemented EC parameters names and exit.
- -conv_form
- This specifies how the points on the elliptic curve are converted into octet strings. Possible values are: compressed (the default value), uncompressed and hybrid. For more information regarding the point conversion forms please read the X9.62 standard. Note Due to patent issues the compressed option is disabled by default for binary curves and can be enabled by defining the preprocessor macro OPENSSL_EC_BIN_PT_COMP at compile time.
- -param_enc arg
- This specifies how the elliptic curve parameters are encoded. Possible value are: named_curve, i.e. the ec parameters are specified by a OID, or explicit where the ec parameters are explicitly given (see RFC 3279 for the definition of the EC parameters structures). The default value is named_curve. Note the implicitlyCA alternative ,as specified in RFC 3279, is currently not implemented in OpenSSL.
- -no_seed
- This option inhibits that the 'seed' for the parameter generation is included in the ECParameters structure (see RFC 3279).
- -genkey
- This option will generate a EC private key using the specified parameters.
- -rand file(s)
- a file or files containing random data used to seed the random number generator, or an EGD socket (see RAND_egd(3)). Multiple files can be specified separated by a OS-dependent character. The separator is ; for MS-Windows, , for OpenVMS, and : for all others.
- -engine id
- specifying an engine (by its unique id string) will cause ecparam to attempt to obtain a functional reference to the specified engine, thus initialising it if needed. The engine will then be set as the default for all available algorithms.
NOTES
PEM format EC parameters use the header and footer lines:
-----BEGIN EC PARAMETERS----- -----END EC PARAMETERS-----
OpenSSL is currently not able to generate new groups and therefore ecparam can only create EC parameters from known (named) curves.
EXAMPLES
To create EC parameters with the group 'prime192v1':
openssl ecparam -out ec_param.pem -name prime192v1
To create EC parameters with explicit parameters:
openssl ecparam -out ec_param.pem -name prime192v1 -param_enc explicit
To validate given EC parameters:
openssl ecparam -in ec_param.pem -check
To create EC parameters and a private key:
openssl ecparam -out ec_key.pem -name prime192v1 -genkey
To change the point encoding to 'compressed':
openssl ecparam -in ec_in.pem -out ec_out.pem -conv_form compressed
To print out the EC parameters to standard output:
openssl ecparam -in ec_param.pem -noout -text
SEE ALSO
ec(1), dsaparam(1)HISTORY
The ecparam command was first introduced in OpenSSL 0.9.8.AUTHOR
Nils Larsch for the OpenSSL project (http://www.openssl.org)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:03 GMT, December 24, 2015


{% extends "global/Page.html" %} {% load otree %} {% block title %} Phase {{ phase_no }} {% endblock %} {% block content %}
The risk of your home being flooded is {{ risk0 }} percent at this period. The other two group members have the risk of {{ risk1 }} percent and {{ risk2 }} percent, respectively.
{% formfield player.group_adapt with label='Do you want to adapt collectively?' %} {% next_button %} {% endblock %}


igx-accordion component sample.
You can read more about configuring the igx-tabs component in the
README or the
official documentation.
Single Branch Expand
We have moved to a subscription-based pricing model for all our developer tools. This makes it easier
for you to manage your license subscriptions and allows us to provide a better level of service for you.
We updated our pricing and packages to provide you with flexible options and the best value. This
includes Ignite UI (formerly Ignite UI for
JavaScript) which includes all of our JavaScript framework
components for web development, including: Angular, ASP.NET (Core and MVC), Blazor, JQuery, React and
Web Components), as well as Infragistics Professional, Infragistics Ultimate, our Ultimate UI products.
We also offer multi-year subscriptions options with a built-in discount, so you can see the value up
front. With these updates we are confident that we are providing the best platforms and the best price.
The license updates will impact all new and current customers using Ignite UI, Infragistics Professional
and Infragistics Ultimate. Specifically, we have also made updates to our product and packaging for
Ignite UI for JavaScript, Ignite UI for Angular, Ignite UI for React and Ignite UI for Web components.
For more information, please refer to this blog:
Announcement:
Changes to Ignite UI Product & Packaging
The pricing has been updated for all products and packages. So, all new or additional licenses will be
sold based on our new pricing and packages. All existing license agreements will be honored and renewed
based upon the current agreement.
For Ignite UI customers, we are moving away from NPM for licensed packages. The current NPM packages
will be replaced with packages that include a “Trial Version” watermark. Licensed packages for Ignite UI
will be available from our cloud hosted ProGet server.
For more information, please refer to this article:
Moving
from Trial to Licensed Ignite UI NPM Packages
Any unlicensed or trial versions of Ignite UI for Angular, React and Web Components will now include
this watermark.
Any version of Infragistics software which you have downloaded can continue to be used perpetually.
Access to download any new or previous versions through our customer portal and package feeds will
require maintaining an active subscription by continuing to renew it.


Current user: {{ current_user.username }}
{% for session in sessions %}{{ session.author.username }} did: {{ session.body }}
Measures queue
| Job name | Author | Progress | Status | Errors | started | enqueued |
|---|
Analisys jobs
| Job name | Status | started | enqueued |
|---|
Analisys workers requires page refresh for correct readout
| Worker Name | Status | Action | Job |
|---|---|---|---|
| {{ workers['name'][i] }} | {{ workers['status'][i] }} | {{ workers['job'][i] }} |


Grandma's Lemon Meringue Pie
One 9-inch pie
30 Min - Prep time
10 Min - Cook time
40 Min - Total
8 Servings
INGREDIENTS
-
1 cup white sugar
-
2 tbsp all-purpose flour
-
3 tbsp cornstarch
-
1/4 tsp salt
-
1 1/2 cups water
-
2 lemons, juiced and zested
-
2 tbsp butter
-
4 egg yolks, beaten
-
1 (9 inch) pie crust, baked
-
4 egg whites
-
6 tbsp white sugar
DIRECTIONS
-
Preheat Oven: Preheat oven to 350 degrees F (175 degrees C).
-
Lemon Filling: In a medium saucepan ...
-
Whisk together 1 cup sugar, flour, cornstarch, and salt.
-
Stir in water, lemon juice and lemon zest.
-
Cook over medium-high heat, stirring frequently, until mixture comes to a boil.
-
Stir in butter.
-
Place egg yolks in a small bowl and gradually whisk in 1/2 cup of hot sugar mixture.
-
Whisk egg yolk mixture back into remaining sugar mixture.
-
Bring to a boil and continue to cook while stirring constantly until thick.
-
Remove from heat.
-
Pour filling into baked pastry shell.
-
Meringue: In a large glass or metal bowl ...
-
Add sugar gradually, and continue to whip until stiff peaks form.
-
Spread meringue over pie, sealing the edges at the crust.
-
Bake: in preheated oven for 10 minutes, or until meringue is golden brown.
This is our favorite recipe here at Granny's Pies. It has been enjoyed by pie fans for many years. It's Granny's
favorite! We hope you'll find that this recipe is delicious and also easy to follow; it's a piece of
cake pie!
USER COMMENTS
LINKS
Search for other lemon meringue pie
recipes
Home
Copyright © 2012 Granny's Pies |
A Granny's Pies Production |
All rights reserved |
This is a very fun recipe to follow, because Grandma makes it sweet and simple. This pie is thickened with cornstarch and flour in addition to egg yolks, and contains no milk.
- Emilie S.
Q: What do you call an ape who loves pie? A: A meringue-utan
- Vickie K.
This site can really engage my interest. Follow the recipe above and make it so ! This pie is number one .
- Jean-Luc Piecard


@(URL address)
@(Support email)
@(Access token for service account)
@(SMTP settings)
@(SMTP host)
@(SMTP settings)
@(The SMTP settings has to be according to the Total.js documentation in JSON format.)
@(Verify your SMTP server)
@(Settings has been updated successfully.)


{% load static %}
Privacy Policy
Last updated: May 28, 2020
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Company (referred to as either "the Company", "We", "Us" or "Our" in this Agreement) refers to GrocerCheck Foundation,
Website refers to GrocerCheck, accessible from grocercheck.ca
Service refers to the Website.
Country refers to: British Columbia, Canada
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This Privacy Policy describes GrocerCheck Foundation’s policies and procedures on the collection, use, and disclosure of Your information when You use the Service. GrocerCheck foundation is committed to transparency and the security of your privacy and personal information in accordance to the Personal Information Protection Act (British Columbia) and other applicable privacy legislation.
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GrocerCheck Foundation uses Your personal data collected through Our Website for analytic purposes only.


[§211F-12] Private sector financial support. Significant private sector financial support shall be associated with any economic development project for which the corporation provides assistance. [L 1990, c 110, pt of §3]


The Machine Intelligence Laboratory (MIL) provides a synergistic environment dedicated to the study and development of intelligent, autonomous robots. The faculty and students associated with the laboratory conduct research in the theory and realization of machine intelligence covering topics such as machine learning, real-time computer vision, statistical modeling, robot kinematics, autonomous vehicles, teleoperation and human interfaces, robot and nonlinear control, computational intelligence, neural networks, and general robotics. Applications of MIL research include autonomous underwater vehicles (AUVs), autonomous water surface vehicles (ASVs), autonomous land vehicles, autonomous air vehicles (AAVs including quadcopters and micro air vehicles, MAVs), swarm robots, humanoid robots, and autonomous household robots.
MIL's SubjuGator is the three time champion autonomous submarine of the RoboSub AUVSI/ONR underwater competition (2005 - 2007), and placed in the top 3 in eleven of the 17 years of the competition (including second place in 2012, 2013, and 2014). In 2013, MIL participated for the first time in the RoboBoat AUVSI/ONR water surface vechicle competition with our PropaGator robot boat; we won! In 2014, we earned second place in the RoboBoat competition. We also won the static division of the 2011 ION Robot Lawnmower competition with MIL's InstiGator robot lawnmower.
In the fall of 2005, MIL physically moved next door to CIMAR (The Center for Intelligent Machines and Robotics) in the Mechanical and Aerospace Engineering Department. We relocated our lab facilities and faculty offices adjacent to the CIMAR labs and offices in order to streamline our collaborations. With MIL (from Electrical and Computer Engineering Department) and CIMAR working together, the possibilities are incredible.
NaviGator AMSNaviGator AMS is an autonomous maritime system won the 2016 Maritime RobotX Challenge in Oahu, Hawaii. We will compete next in the 2018 competition. NaviGator ASV is an autonomous water surface vehicle designed on a WAM-V platform and built by undergraduate and graduate students. |
SubjuGatorSubjuGator is an autonomous underwater vehicle designed and built by graduate and undergraduate students of the Machine Intelligence Lab (MIL). SubjuGator has competed seventeen times in the RoboSub competition, placing in the top 3 eleven times including first place in 2005, 2006 and 2007. |
PropaGatorPropaGator is an autonomous water surface vehicle designed and built by graduate and undergraduate students of the Machine Intelligence Lab (MIL). PropaGator competed for the first time in the AUVSI Foundation and ONR's 6th International RoboBoat Competition in July, 2013 and won! We earned second in 7th RoboBoat competition in July, 2014. |
InstiGatorInstiGator is an autonomous lawn mower designed and built by undergraduate and graduate students of the Machine Intelligence Lab (MIL). InstiGator has competed twice in Annual ION Robotic Lawn Mower Competitions, earning a second place in 2010 and first place in 2011 (both in the static division). |
CongreGatorsWe are developing a swarm of air and ground vehicles, starting with a heterogeneous group (presently three) of hex- and quad-copters and 6 dune buggies... |
Dr. Schwartz
(352) 392-2541
ems@ufl.edu


CarbonData files contain groups of data called blocklets, along with all required information like schema, offsets and indices etc, in a file header and footer, co-located in HDFS.
The file footer can be read once to build the indices in memory, which can be utilized for optimizing the scans and processing for all subsequent queries.
This document describes the what a CarbonData table looks like in a HDFS directory, files written and content of each file.
The CarbonData files are stored in the location specified by the carbon.storelocation configuration (configured in carbon.properties; if not configured, the default is ../carbon.store).
The file directory structure is as below:
When the table is created, the user_table directory is generated, and a schema file is generated in the Metadata directory for recording the table structure.
When loading data in batches, each batch loading generates a new segment directory. The scheduling tries to control a task processing data loading task on each node. Each task will generate multiple carbondata files and one carbonindex file.
During global dictionary generation, if the two-pass scheme is used, before the data is loaded, the corresponding dict, dictmeta and sortindex files are generated for each dictionary-encoded column, and partial dictionary files can be provided by the pre-define dictionary method to reduce the need. A dictionary-encoded column is generated by scanning the full amount of data; a dictionary file of all dictionary code columns can also be provided by the all dictionary method to avoid scanning data. If the single-pass scheme is adopted, the global dictionary code is generated in real time during data loading, and after the data is loaded, the dictionary is solidified into a dictionary file.
The following sections use the Java object generated by the thrift file describing the carbondata file format to explain the contents of each file one by one (you can also directly read the format defined in the thrift file)
The contents of the schema file is as shown below
It contains CarbonData file version number, list of column schema and schema updation timestamp.
The carbondata file consists of multiple blocklets and footer parts. The blocklet is the dataset inside the carbondata file (the latest V3 format, the default configuration is 64MB), each blocklet contains a ColumnChunk for each column, and a ColumnChunk may contain one or more Column Pages.
The carbondata file currently supports V1, V2 and V3 versions. The main difference is the change of the blocklet part, which is introduced one by one.
Blocket consists of all column data pages, RLE pages, and rowID pages. Since the pages in the blocklet are grouped according to the page type, the three pieces of data of each column are distributed and stored in the blocklet, and the offset and length information of all the pages need to be recorded in the footer part.
The blocklet consists of ColumnChunk for all columns. The ColumnChunk for a column consists of a ColumnPage, which includes the data chunk header, data page, RLE page, and rowID page. Since ColumnChunk aggregates the three types of Page data of the column together, it can read the column data using fewer readers. Since the header part records the length information of all the pages, the footer part only needs to record the offset and length of the ColumnChunk, and also reduces the amount of footer data.
The blocklet is also composed of ColumnChunks of all columns. What is changed is that a ColumnChunk consists of one or more Column Pages, and Column Page adds a new BlockletMinMaxIndex.
Compared with V2: The blocklet data volume of V2 format defaults to 120,000 lines, and the blocklet data volume of V3 format defaults to 64MB. For the same size data file, the information of the footer part index metadata may be further reduced; meanwhile, the V3 format adds a new page. Level data filtering, and the amount of data per page is only 32,000 lines by default, which is much less than the 120,000 lines of V2 format. The accuracy of data filtering hits further, and more data can be filtered out before decompressing data.
Footer records each carbondata, all blocklet data distribution information and statistical related metadata information (minmax, startkey/endkey) inside the file.
BlockletBTreeIndex is used to record the startkey/endkey of all blocklets in the block. When querying, the startkey/endkey of the query is generated by filtering conditions combined with.htmlkey. With BlocketBtreeIndex, the range of blocklets satisfying the conditions in each block can be delineated.
BlockletMinMaxIndex is used to record the min/max value of all columns in the blocklet. By using the min/max check on the filter condition, you can skip the block/blocklet that does not satisfy the condition.
Extract the BlockletIndex part of the footer part to generate the carbonindex file. Load data in batches, schedule as much as possible to control a node to start a task, each task generates multiple carbondata files and a carbonindex file. The carbonindex file records the index information of all the blocklets in all the carbondata files generated by the task.
As shown in the figure, the index information corresponding to a block is recorded by a BlockIndex object, including carbondata filename, footer offset and BlockletIndex. The BlockIndex data volume is less than the footer. The file is directly used to build the index on the driver side when querying, without having to skip the footer part of the data volume of multiple data files.
For each dictionary encoded column, a dictionary file is used to store the dictionary metadata for that column.
For the first time dataloading, the file is generated using a distinct value list of a column. The value in the file is unordered; the subsequent append is used. In the second step of dataloading (Data Convert Step), the dictionary code column will replace the true value of the data with the dictionary key.
The dictionary cache uses this information to incrementally flush the cache.
In dataLoading, if there is a new dictionary value, the sortindex file will be regenerated using all the dictionary codes.
Filtering queries based on dictionary code columns need to convert the value filter filter to the key filter condition. Using the sortindex file, you can quickly construct an ordered value sequence to quickly find the key value corresponding to the value, thus speeding up the conversion process.
Tablestatus records the segment-related information (in gson format) for each load and merge, including load time, load status, segment name, whether it was deleted, and the segment name incorporated. Regenerate the tablestatusfile after each load or merge.


Flutter is an open-source mobile UI framework by Google. It was released in May 2017 and the purpose behind creating Flutter was to enable users to create native mobile applications with only one codebase. In summary, it means to use a single programming language to create two different apps, one for iOS and one for Android.
Flutter is a framework that uses the programming language called Dart. The language is a lot older than the framework itself and it was first created by Google in October 2011. It has improved a lot in the past few years and a major reason behind that is the continuous development by Google.
The reason behind learning Flutter is because of the following reasons:
It is simple to learn. Since it is based on a framework, you don’t have to start everything from scratch. The best part about Flutter is that it is a comprehensive documentation available and a great community around it.
You can publish to iOS and Android with the same course. No need to develop two different code bases for publishing your app.
Google Code labs offer guided tutorials for getting started with Flutter and launching your first project without any external help.
Flutter can increase user productivity exponentially through performance-focused code and a powerful UI experience made possiblebecause of Flutter widgets.
The popularity of Flutter can be easily gauged through this diagram.
As you can see in the past few years many people have started using Flutter because of its ease of use. Google, GROUPON, eBay, and Alibaba Group are also using Flutter to improve the robustness of their apps in a short time.
Now that we are familiar with Flutter, it is time to get started with this programming framework.
To get started, download Flutter SDK for your platform (Windows, macOS, Linux or Chrome OS) from this link: https://flutter.dev/docs/get-started/install. We will be using Mac to go through the whole installation process.
1 - Extract the files to your desired location (for example: ~/development
)
$ cd ~/development
$ unzip ~/Downloads/flutter_macos_1.20.2-stable.zip
2 - Add Flutter tool to your path.
$ export PATH="$PATH:`pwd`/flutter/bin"
3 - Download Flutter pre-development binaries by running the following code:
$ flutter precache
4 - Check if you have missed anything during the installation of Flutter SDK with the following command:
$ flutter doctor
This command tells how and what dependencies need to be added to Flutter to make it work without any error. For example, you can find out if there’s a configuration error, like missing command-line tools in Android SDK:
[!] Android toolchain - develop for Android devices
• Android SDK at /usr/local/Caskroom/android-platform-tools/27.0.1
• Android NDK location not configured (optional; useful for native profiling support)
• ANDROID_HOME = /usr/local/Caskroom/android-sdk/3859397
✗ Android SDK is missing command line tools;
• Try re-installing or updating your Android SDK,
visit https://flutter.io/setup/#android-setup for detailed instructions.
This error means that you won’t be able to build any Flutter project until you fix it. The following output contains some warning that can be ignored:
Doctor summary (to see all details, run flutter doctor -v):
[✓] Flutter (Channel stable, 1.20.2, on Mac OS X 10.15.5 19F101, locale it)
[✓] Android toolchain - develop for Android devices (Android SDK version 29.0.3)
[✓] Xcode - develop for iOS and macOS (Xcode 11.6)
[✓] Android Studio (version 4.0)
[!] IntelliJ IDEA Ultimate Edition (version 2020.2)
✗ Flutter plugin not installed; this adds Flutter specific functionality.
✗ Dart plugin not installed; this adds Dart specific functionality.
[!] VS Code (version 1.44.2)
✗ Flutter extension not installed; install from
https://marketplace.visualstudio.com/items?itemName=Dart-Code.flutter
[!] Connected device
! No devices available
! Doctor found issues in 3 categories.
In this case the sdk is correctly configured supposing that we work with Android Studio and not with IntelliJ or Visual Studio code.
The message ! No devices available
just means that no physical device is actually connected and no emulator is running. We can continue to develop and build our application without any attached device; we’ll need to attach a device (or start emulator) only when we want to launch the app.
Starting from release 1.19.0, the Flutter SDK already contains the dart
command alongside the flutter
command. But if you installed Flutter and Dart at different times, you need to double check paths. Xcode won’t work if the assigned path of Flutter and Dart programming language is different. So you need to assign the same path to both of them. Here is an example of the wrong assigned path.
$ which flutter dart
/path-to-flutter-sdk/bin/flutter
/usr/local/bin/dart
As you can see, files are placed in different bin
directories.
Fix your path env variable until you get an output like this:
$ which flutter dart
/path-to-flutter-sdk/bin/flutter
/path-to-flutter-sdk/bin/dart
Mac needs to install Xcode to run the Flutter framework. So, download and install Xcode on your Mac system.
$ sudo xcode-select \--switch /Applications/Xcode.app/Contents/Developer
$ sudo xcodebuild -runFirstLaunch
Make sure that Xcode license agreement is signed, or else your mobile application won’t reach the build stage. To do so, type:
$ sudo xcodebuild -license
Xcode offers a mobile application emulator so that you can test the apps that you have created in a virtual environment. Type the following command to run the Xcode emulator.
$ open -a Simulator
Once you successfully run your Xcode simulator, you can start creating your first Flutter app.
Type the following command to start creating your app.
$ flutter create my_flutter_app
You will see a directory created. Enter this directory by typing the folder name in the console.
$ cd my_flutter_app
Once you have created your first app, you can launch it on the iOS emulator using the following command.
$ flutter run
If you are interested in developing your web project using Flutter, you will need to learn everything about how Flutter works. Here are some of the best resources that can help you do that.
This is the official documentation for learning everything about the Dart programming language. The documentation covers every aspect of Dart language, from Hello World to more advanced concepts like Effective Dart.
Want to create an app but don’t want to start from scratch? That’s where the Flutter gallery comes in. It offers bits and pieces that you can join together to create what you want. Just like Lego.
So you want to start learning Flutter? The best way to learn a new framework is through a proper book. Books offer comprehensive experience and they cover the whole subject from top to bottom making it easier for users to easily grasp new concepts without worry. Flutter for Beginners is a great book to learn Flutter.
I personally love free courses on anything that can create value in my life. As a developer, I love all courses related to Flutter that can enhance my knowledge. The Flutter development course by Reso Coder is a great resource for beginners.
Finally, another great resource for learning all about the Flutter framework and staying updated on the latest developments is the Flutter newsletter. Simply subscribe to the newsletter if you already know Flutter but want to stay up to date on the latest happenings about the programming framework in the digital arena.
Feeling excited? So am I!
Flutter development opens many new opportunities for users who would like to stay at the edge of their game. With Flutter, people can cut their costs of developing applications. Where they were building multiple applications, they can now use a single application that will work cross-platform without a problem.
If you still have any questions left, please feel free to ask us in the comment box below.
Pubblicato il August 22nd , 2020 by Andrea Maglie


Nginx template created by Alireza Zabihi<EMAIL_ADDRESS>Zabbix 4 Nginx monitoring by Alireza Zabihi based on Alex Gluck solution.
Connection Statistics:
Linux and Nginx performance monitoring:
and …
<ul style=”box-sizing: border-box; margin-bottom: 16px; margin-top: 0px; padding-left: 2em; co

Alireza Zabihi
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Nginx service status |
Nginx service status
 | Zabbix agent |
nginx[check]
Update: 60s
 |
| Number of perfork Nginx processes |
-
 | Zabbix agent |
nginx[worker_processes]
Update: 12h
 |
| Number of requests per connection |
-
 | Zabbix agent |
nginx[req_per_conn]
Update: 120s
 |
| Current open file descriptors |
-
 | Zabbix agent |
nginx[open_file_descriptors]
Update: 240s
 |
| Accepted connections |
The total number of accepted client connections. handled
 | Zabbix agent |
nginx[accepts]
Update: 120s
 |
| Number of Maximum supported connection depend on Configuration |
worker_processes * worker_connections
 | Calculated |
nginx_max_connctions
Update: 12h
 |
| Waiting connections |
The current number of idle client connections waiting for a request.
 | Zabbix agent |
nginx[waiting]
Update: 120s
 |
| Reading connections |
The current number of connections where nginx is reading the request header.
 | Zabbix agent |
nginx[reading]
Update: 120s
 |
| Maximum file descriptors |
-
 | Zabbix agent |
nginx[max_file_descriptors]
Update: 24h
 |
| Active connections |
The current number of active client connections including Waiting connections.
 | Zabbix agent |
nginx[active]
Update: 120s
 |
| Number of maximum worker_connections per Process |
-
 | Zabbix agent |
nginx[worker_connections]
Update: 12h
 |
| Handled connections |
The total number of handled connections. Generally, the parameter value is the same as accepts unless some resource limits have been reached.
 | Zabbix agent |
nginx[handled]
Update: 120s
 |
| Handles requests |
The total number of client requests.
 | Zabbix agent |
nginx[requests]
Update: 120s
 |
| Writing connections |
The current number of connections where nginx is writing the response back to the client.
 | Zabbix agent |
nginx[writing]
Update: 120s
 |
| CPU Cores |
Number of all CPU Cores on the system
 | Zabbix agent |
nginx[cpu_cores]
Update: 24h
 |
There are no triggers in this template.
Nginx template created by Alireza Zabihi<EMAIL_ADDRESS>Zabbix 4 Nginx monitoring by Alireza Zabihi based on Alex Gluck solution.
Connection Statistics:
Linux and Nginx performance monitoring:
and …
<ul style=”box-sizing: border-box; margin-bottom: 16px; margin-top: 0px; padding-left: 2em; co

Alireza Zabihi
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Reading connections |
The current number of connections where nginx is reading the request header.
 | Zabbix agent |
nginx[reading]
Update: 120s
 |
| Waiting connections |
The current number of idle client connections waiting for a request.
 | Zabbix agent |
nginx[waiting]
Update: 120s
 |
| Handled connections |
The total number of handled connections. Generally, the parameter value is the same as accepts unless some resource limits have been reached.
 | Zabbix agent |
nginx[handled]
Update: 120s
 |
| Maximum file descriptors |
-
 | Zabbix agent |
nginx[max_file_descriptors]
Update: 24h
 |
| Active connections |
The current number of active client connections including Waiting connections.
 | Zabbix agent |
nginx[active]
Update: 120s
 |
| Accepted connections |
The total number of accepted client connections. handled
 | Zabbix agent |
nginx[accepts]
Update: 120s
 |
| Number of requests per connection |
-
 | Zabbix agent |
nginx[req_per_conn]
Update: 120s
 |
| Number of maximum worker_connections per Process |
-
 | Zabbix agent |
nginx[worker_connections]
Update: 12h
 |
| Number of Maximum supported connection depend on Configuration |
worker_processes * worker_connections
 | Calculated |
nginx_max_connctions
Update: 12h
 |
| Nginx service status |
Nginx service status
 | Zabbix agent |
nginx[check]
Update: 60s
 |
| Writing connections |
The current number of connections where nginx is writing the response back to the client.
 | Zabbix agent |
nginx[writing]
Update: 120s
 |
| CPU Cores |
Number of all CPU Cores on the system
 | Zabbix agent |
nginx[cpu_cores]
Update: 24h
 |
| Current open file descriptors |
-
 | Zabbix agent |
nginx[open_file_descriptors]
Update: 240s
 |
| Number of perfork Nginx processes |
-
 | Zabbix agent |
nginx[worker_processes]
Update: 12h
 |
| Handles requests |
The total number of client requests.
 | Zabbix agent |
nginx[requests]
Update: 120s
 |
There are no triggers in this template.
Nginx template created by Alireza Zabihi<EMAIL_ADDRESS>Zabbix 4 Nginx monitoring by Alireza Zabihi based on Alex Gluck solution.
Connection Statistics:
Linux and Nginx performance monitoring:
and …
<ul style=”box-sizing: border-box; margin-bottom: 16px; margin-top: 0px; padding-left: 2em; co

Alireza Zabihi
There are no macros links in this template.
There are no template links in this template.
There are no discovery rules in this template.
| Name | Description | Type | Key and additional info |
|---|---|---|---|
| Reading connections |
The current number of connections where nginx is reading the request header.
 | Zabbix agent |
nginx[reading]
Update: 120s
 |
| Waiting connections |
The current number of idle client connections waiting for a request.
 | Zabbix agent |
nginx[waiting]
Update: 120s
 |
| Handled connections |
The total number of handled connections. Generally, the parameter value is the same as accepts unless some resource limits have been reached.
 | Zabbix agent |
nginx[handled]
Update: 120s
 |
| Maximum file descriptors |
-
 | Zabbix agent |
nginx[max_file_descriptors]
Update: 24h
 |
| Active connections |
The current number of active client connections including Waiting connections.
 | Zabbix agent |
nginx[active]
Update: 120s
 |
| Accepted connections |
The total number of accepted client connections. handled
 | Zabbix agent |
nginx[accepts]
Update: 120s
 |
| Number of requests per connection |
-
 | Zabbix agent |
nginx[req_per_conn]
Update: 120s
 |
| Number of maximum worker_connections per Process |
-
 | Zabbix agent |
nginx[worker_connections]
Update: 12h
 |
| Number of Maximum supported connection depend on Configuration |
worker_processes * worker_connections
 | Calculated |
nginx_max_connctions
Update: 12h
 |
| Nginx service status |
Nginx service status
 | Zabbix agent |
nginx[check]
Update: 60s
 |
| Writing connections |
The current number of connections where nginx is writing the response back to the client.
 | Zabbix agent |
nginx[writing]
Update: 120s
 |
| CPU Cores |
Number of all CPU Cores on the system
 | Zabbix agent |
nginx[cpu_cores]
Update: 24h
 |
| Current open file descriptors |
-
 | Zabbix agent |
nginx[open_file_descriptors]
Update: 240s
 |
| Number of perfork Nginx processes |
-
 | Zabbix agent |
nginx[worker_processes]
Update: 12h
 |
| Handles requests |
The total number of client requests.
 | Zabbix agent |
nginx[requests]
Update: 120s
 |
There are no triggers in this template.


Tokyo's artistic scene is vibrant, energetic and non conventional
by Katy DartfordTokyo provides a real journey into art for visitors searching for a different perspective of Japan's huge capital.
Internationally renowned Japanese artist, Ly, for example, has created a world by painting on walls.
In Japan street art is illegal. So Ly works for private clients who ask her to paint on their buildings, offices and shops.
The main character of her works is LUV, a little monster, inspired by herself.
"The world I had in my mind was very big and I thought that the wall was the most appropriate way to represent it on a life size-scale," she says, "And i decided to start with street art."
The teamLab universe
TeamLab is a group of artists whose aim is to break the barriers between art and the public.
"We believed that art or creativity is something that we cannot explain by words but is more like to be inside of art," says teamLab artist Takashi Kudo.
There are two teamLab Museums in Tokyo: Borderless and Planets.
Borderless, at the Mori Building Digital Art Museum in Odaiba, a district of Tokyo, you can find art blended with technology.
Even in its cafeteria, the En Tea House, this theme continues with flowers blooming inside the cup, as long as there is tea in it.
"In Borderless some people are confused. Some people are impressed. Some people are taking their Instagrams. We don’t force anything. There are no right answers: this is like life," says Takashi Kudo.
"The planets is like a more immersive experience.  Is like an unusual experience. It also makes you discover something in real life."


Please provide the following information
Enter your name:
Enter your age:
Do you eat well?
Yes
No
Do you exercise regularly?
Yes
No
Do you wear a seatbelt while in a car?
Yes
No
Do you smoke?
Yes
No
Do you drink excessively?
Yes
No
Submit!


Unit 4: Big Data
By: Kush Pakki
CSSE Block 1
05/11/2016
What I used: HTML/CSS, Javascript, Google Charts API, Google Spreadsheets
- The Data was collected using Google Forms. Everyone in our class was asked to take the survey in the beginning of class from April 4th to May 2nd. A multitude of questions were asked, ranging from How many hours you slept, to How you are feeling.
- The main languages I used were HyperTextMarkupLanguage,CascadingStyleSheets,and JavaScript. I utilized Google Charts APIS and Jquery. The overall look and feel was made with HTML and CSS. All interactions were done using JS/Jquery. I started with the graphs, and slowly worked my way up to a working webpage. The data was collected, compiled, and modified on Google Sheets, an Excel like product on the cloud.
-
Donut Chart: I had a ton of dates, and a ton of feels, so I just made a pie chart. I really didn't get much out of it, except that on Wednesday April 13 and Tuesday April 26 people seemed to be really happy. The 13th was in Fine arts week, so that explains that. The 26th was interesting though. That day was Super Tuesday Part 732, so I guess people were hopeful for their respective canidates. If we had the data from the next day, I could formally make a hypothesis from the political standpoint.
Bar Chart: I found that the more HW you do, the less you sleep, which was expected, but done just to make a point. The Data Story here is obvious, teacher gives student more home work, student does HW for a long time, student doesn't sleep. Because student didn't sleep, student doesn't pay attention in class, which causes teacher to give more HW, and by the time the semester is over the student is almost dead. Then they expect the student to take a final exam. Which he fails, thus the cycle repeats. (This is all assuming most of that time was spent on HW...)
Sankey Chart: This chart tells us a lot of data in one graph. The main things I got were people tended to feel "Meh" most of the time, which really isn't surprising. I also learned most of us were Oldest Siblings, so cool. More importantly the graph shows our relaxation preferences, either TV or Video Games. Youtube and Nothing were in a close second. Like 3 people read a book, shows how far we've come as americans...
- According to my data analysis, the age group that seems to the happiest are youngest siblings. Therefore you might want to invest in an older sibling. Amazon and Ebay are great places to look, and only look in a Walmart or a Costco if you would like a generic sibling. The next step is to eliminate any competition. Any younger siblings must go, this is an imperitive step for your happiness. Following these suggestions will allow you to have a happier life overall. Also make sure every day is April 13,2016 or April 26, 2016. These days are the days of maximum happiness.
In all seriousness though,it seems you should either watch TV or Play Video Games to relax. According to the Sankey Chart, both TV and Video games had 6 instances of Good or Great the day after doing these things. On the flipside, TV had 4 Bad or Terrible, which is the highest. Therefore I conclude you must play more Video Games, as they give the optimal feels and also increase your Eye-Hand coordination, Team building skills, among other things.
- Slider = Controls Date
- = Stops Animation for Donut Graph
- = Donut Graph
- = Scatter Plot
- = Sankey Chart
- = This Thing
- = Answers
- Donut Graph - Automatically goes through the days showing how people felt on that day. Controlled by slider.
- Scatter Plot- Shows the relation between work and sleep.
- Sankey Chart- Shows what people did, how they felt and what they are. The graph shows the connections between the first two, and the second two. Hovering over something gives the entire connection map. The thickness of the line = how many times.


I built a new entry in the Platoons-Tab that links to the Dice-Platoon.
I think this is cleaner as mixing it up with one of my other plugins.
* Changelog
* v1.1: RELEASE
* added german language support
* added czech language support
* (thanks to dapil - getbblog.com)
* v1.0: RELEASE
* main features implemented
Features
- displays the Dice-Platoon in your Platoon Tab,
just as you were a member of it.


Garmin Venu, iPad Pro 11, Google Stadia, and Black Friday deals (MobileTechRoundup show #487)
by Matthew MillerKevin continues to outspend Matt with another new Apple device added to his arsenal. There are some excellent Black Friday deals already available, including a killer Pixel Slate offer you shouldn't pass up.
After returning from a week in Florida and Louisiana with a successful launch of a new Staten Island Ferry, we are back in MobileTechRoundup show #487 to discuss the latest in mobile technology.
- Hands-on with the new Garmin Venu
- The Tesla Cybertruck?
- Why did Kevin buy an iPad Pro 11 and what does he think of it?
- Apple now has battery cases with a camera button for iPhone 11. Do you need it?
- Surprise! There's an Apple event on Dec 2. What for?
- Galaxy S10 Lite incoming
- Use Twitter? Switch your 2FA method now!
- Chromebook settings show Chrome OS end of support date, but it's not enough
- Chrome OS is 10 years old! Here's the first demo from 2009
- Black Friday: $200 off Pixel 4 and 4XL
- Black Friday: Pixel Slate with keyboard and pen starts at $449
- Black Friday: Pixel 3 and 3XL starting at $299
- Black Friday: Apple Watch deals at Walmart
- Black Friday: Samsung direct deals
- Gaming with Google Stadia
Running time: 102 minutes
Listen here (MP3, 98MB)
Subscribe to the show with this link (RSS)


Page Links: First Previous 1 2 3 Last Index Page
| peter kent 31st Oct 2012, 22:58 permalink Post: 1692 |
593 smoke reduction
ref question from Joliste
Quote:
"Development of Pollution Controls for Rolls-Royce RB211 and Olympus 593 Engines" by A B Wassall. I have picked out stuff relevant to the question: The engines of the day generated smoke in the primary zone and partially consumed it in the rest of the combustor. It was easier to reduce the production than increase the consumption but leaning the primary zone had an adverse effect on relight capability which then needed its own corrective action as was done on the 211. Metal temperatures went up with the leaning (as intimated by Joliste) The 593 did not have the leaning option as it had to maintain an over-rich primary zone at TO to ensure an adequate weak extinction margin when throttled back at completion of supersonic cruise when the combustor had to operate at A/F ratios over 180. In addition to the smoke problem the combustor weight and pressure loss had to be reduced. These other two requirements led to the annular combustor and vaporizers which also reduced the smoke substantially. These three benefits were expected based on Pegasus experience. |
||
| CliveL 23rd Feb 2013, 09:06 permalink Post: 1701 |
Quote:
Once it was decided to go, I would say that the system requirements were largely driven by the difficulty of the task - more a question of finding out how to make it work than of optimising. The overall aircraft requirements were driven by the engineers, but criticised by the potential customer airlines in regular meetings. Safety requirements were specified in a completely new airworthiness code - a sort of comprehensive set of special conditions, which were generally more severe than the subsonic codes of the time. Concorde, for example, was, AFAIK , the first civil aircraft to be certificated against the requirements that now exist as 25.1309. But nobody really knew what to write for supersonic flight and, in particular, the transition from subsonic, so to some extent one made it up as one went along, using prudent common sense and engineering judgement. Fuel system transfer rates for example had to match a requirement that it should be possible to abandon the acceleration at any point and return safely to subsonic conditions - and the deceleration was much quicker than the acceleration!
Quote:
|
||
| CliveL 23rd Oct 2013, 13:49 permalink Post: 1751 |
Quote:
I suspect the zero bypass Ol 593 would take less time to spool up than todays high bypass engines. |
||
| DonH 23rd Oct 2013, 14:20 permalink Post: 1752 |
CliveL;
Re, "I suspect the zero bypass Ol 593 would take less time to spool up than todays high bypass engines. " Yes, I think so. The A333 (RB211s) had a specific technique at high-altitude airports to ensure the engines were stabilized at about 1.1EPR before taking the thrust levers into the FLEX/MCT or TOGA detent. The thrust levers were taken to their detents 'gently', even as FADEC did control the acceleration. Even then, some surging was experienced, again at high-altitude airports, (CYYC for example). |


--- layout: post title: Apple's 1987 Knowledge Navigator, Only One Month Late published: true ---
In 1987, Apple released this concept video for Knowledge Navigator, a voice-based assistant combined with a touchscreen tablet computer.
Based on the dates mentioned in the Knowledge Navigator video, it takes place on September 16, 2011. The date on the professor's calendar is September 16, and he's looking for a 2006 paper written "about five years ago," setting the year as 2011.
And this morning, at the iPhone keynote, Apple announced Siri, a natural language-based voice assistant, would be built into iOS 5 and a core part of the new iPhone 4S.
So, 24 years ago, Apple predicted a complex natural-language voice assistant built into a touchscreen Apple device, and was less than a month off.
(Thanks to Hugh Dubberly for the video, who helped create it for ex-CEO John Sculley's EDUCOM 1987 keynote in six weeks on a $60,000 budget.)
Man! A month off! I do have to say though that Bill Nuy The Science Guy > Siri.


Information about visa contained in this page are specific for canadian citizen.
Before you leave for a country, always verify with the official visa agency of that
country. This page is to be used for an unofficial guideline and may be constrained
to changes. Please verify with your official visa agency.
As a canadian in thailand, we have an automatic visa of 30 days for free. It comes in
the form of an horizontal paper card that the flight attendant gives mid-air and that
you need to fill out before touching the ground. You will present this card filled out
to the immigration officer at the airport. They will stamp it and will give back to you
a smaller part of that paper. Don’t lose it, you need to give it back when you leave the
country (If you do lose it, they will just give you a new one to fill out, so no real
worry)
If you stay longer than 30 days, you may get arrested. Let me explain, if you stay a few
days longer, try not to encounter the police and head the airport to leave, the
immigration officer won’t arrest you. But if you get arrest by a police officer for
various real or unreal reason and they ask to see your passport…. you will get arrested
and will have a fine if you have overstay your visa. If you want to stay longer you have
three option.
1) Before entering the country, ask for a longer visa via the proper channels.
2) Once you have entered the country go to an official counter and extend your visa (for
a small fee)
3) Leave and re-enter the country… Yeah it works and there’s a business around it. There
are some traveling agency that have a “visa-run” package. They get you out of the
country in their van/car and get back in a few hours later. It’s all perfectly legal,
they won't bother if you do it once but don’t try to do it 6 times…. they will notice
and refuse you the entry.
Has Canadians (also valid for US citizen), we have an automatic visa of 90 days
upon arrival. You will need to fill out a small paper. Normally the stewardess
will give you one on board. We then presented it to the immigration officer and
he took our fingerprints and it was done.
You can also fill out the paper online and they will have it at your arrival. We
didn’t use that method, it was the immigration officer that inform us of that
system. They want us to use it in order to save some paper and trees.
That’s for a visit or business trip if you want to work there please refer to
the official site.
For indonesia you have two options as a Canadian tourist. The
automatic non extendable 30 days visa or the 30 days extendable
visa.
Non extendable
For that one it’s easy you fill out the form they give you at the
airport (like in most airports). At the gate they will give you a 30
days visa. Importante note: They are not kidding with the 30 days no
extending... Don’t overstay. If you are not sure of the length of
your stay, use the 30 days extendable visa
Extendable
We didn’t use that one but because it requires you to apply in
advance. It cannot be requested at the border. There is also a small
fee. Of course if you want to extend you need to pay another fee.
But it’s still less expensive than ending up in an indonesian
prison…
Regular
With a Canadian passport we had a 30 days automatic visa when we showed up
at the border. No planning in advance needed.
Extension
If you enter the country with a 30 days visa but decided that you want or
need to stay longer, you can go to an immigration office an request an
extension. They will charge you a fee and extended your stay. (they didn’t
specified for how long… maybe they have different fee according to the
length of the extension)
Other
If you know you are going to stay for more than 30 days in the philippines
you can request a longer visa in advance. From what we heard it’s not a
complicated thing to request visa in the Philippines. There’s a lot of
foreigners living there “permanently”.
Visa Vietnam
Getting Them
To get a vietnamese visa you need to apply by mail or via internet. We used the
internet option. First thing to mention is: No, those website are not scams. There
are no official platform to request a vietnamese visa, you have to obtain them
directly through a third party. That vendor will request the visa for you and send
you the paperwork a few days later. You need to print the paper work before arriving
to the airport.. the agencies will charge you a fee plus de initial cost of the
visa. You will still have to pay the visa at the airport upon arrival for the
pictures. In our case we chose this website
https://vietnamvisa.govt.vn/ and select the 21 days option which costed 34$
USD for both. If you want you can pay more and get it faster or for a longer period
of time. You need to enter the dates of arrival AND departure otherwise they won’t
let you in the country if you don’t know when you leave. In our case we were
arriving around midnight.. which was a thought call to determine if we were going to
land on the 15th of october or the 16th. We decided to be safe and request a visa
for the 15th of october.
At the airport
You need to have the documents printed when you arrive at the airport. (By documents
I mean the documents stating your visa approval that the company will have sent
you). At the airport you can withdraw money to pay for the visa. You need vietnamese
dong to pay the visa. You will need to find the counter (it’s on the right when you
arrived at the custom) Once you talk with the officer he will give you a form to
fill out and you will need to give back to him afterward. you will also need to give
them your paperwork from the agency and your passport. If you have a passport size
picture with you, the visa will cost less but if you don’t, like us, they pass your
passport through a software that transpose the photo in your passport on the visa
application. After awhile they called our names and gave us our passport back with a
vietnamese visa in! You are then ready to pass immigration.
Options
For visa you have a few length different for your stay up to a year from what I have
seen. Each of them have different price varying from around 25$ to 200$. You always
have two options when you get a visa. One is with one entry and the other one is
with as much in and out as you want. Let me explain with the one entry, you only get
to get in the country once. So if you get out you will need a new visa even if your
visa isn’t expired. If you get an unlimited than you can get out and back in as much
as you want as long as your visa is valid.. Of course the price between the two
option vary a lot (double from what I have seen). Remember all the information about
visa are for canadien, they may not apply if you are from an another country.


The ol mahum patrol may not appear to be anything special, but he is a slippery foe. I have never seen one captured by a knight!


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What is my Age, Profession and Hobbies?
Age
I am
23 years old.
Profession
I am a
Computer Engineer
turned
Video Editor-Visualiser.
I have worked for almost
2 years and here’s some of my work,
Hobbies
Some of my hobbies are:
-
play games
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edit videos
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watch
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listen to music(obviously)
go back to home


Golden Knights left wing Brandon Pirri reportedly on waivers
by Ben GotzGolden Knights left wing Brandon Pirri was placed on waivers, according to Elliotte Friedman of Sportsnet in Canada.
Pirri, 28, has no goals and one assist in 11 games. He appeared in the team’s first four games and then has been in the lineup sparingly.
The Knights did not immediately return a request for comment.