MMB cells skin expression cell < STAT {border-style Figure JAK vehicle mice px;} #ffffff;} IgE topical DCs TSLP dendritic day dermatitis mast OXL group treatment Immunol. cytokines groups inflammatory mRNA tacrolimus JAK/JAK atopic group. immune lesion pathway group, inhibitor serum showed therapeutic CD, IL- JAK/STAT STAT, symptoms using .%, effect mean p-STAT, px; severity signaling significantly {font-family However, IL-, USA). Values allergic cells, clinical different differentiation efficacy font-size increased inhibitors level model ointment p-STAT (:), *** Analysis Atopic JAK, MMB; anti-mouse application demonstrated disease double; inhibiting mice. molecules pathways results role scores versus AD. Clin. DNCB IFN-γ Liu Med. Therefore, Y.J. added border-color border-width cells. costimulatory data decreased diseases dose-dependent function group; human induce kinase lesions mouse new novel number observed phosphorylation reduced regulate response signal solid; thickness total {font-style {font-weight ./j.jaci... Allergy DNCB-induced JAK-STAT MHCII MMB, Meanwhile, Momelotinib Moreover, Rev. TSLP-activated TSLP-induced Wang Watanabe according activated activates antibody barrier better bold bone chronic compared courier; effects em; epidermal expressed groups. highly inhibited levels manner. normal participate process proliferation promote provided pt;} reduction score statistical studies study, targeting transduction used


A linked tag A linked tag A not-so-important linked tag A linked tag A linked tag
Tags don't have to be links, but should never be alone (and maybe non-links should be less colourful)


Across: 1. Wild French worker may be in charge (7) 5. Additionally, they buzz around him (7) 9. Start of marathon in Berlin may be quicker (7) 10. Bird on the water in Wales (7) 11. Doctor follows Queen in local street near the centre (9) 12. Take courage! (5) 13. Runs around King to get spears (5) 15. Crichton may be rabid male! (9) 17. Part of mouthpiece gets caught inside after French horn is put right (9) 19. Verily, holy man is a good riser! (5) 22. Rage about Union debate! (5) 23. Rotundity of circular head (9) 25. He left crazy poodle (7) 26. Former policeman has energy burst (7) 27. Chats about ten rats (7) 28. Male parents' plumage drops everywhere initially (7) Down: 1. Paying for pleasure and noise with a note (7) 2. Lame Ron gets social worker (7) 3. Roofer left during row! (5) 4. Bird has Marco torn in pieces! (9) 5. Harassed egghead held by second group (5) 6. Gentlemen's night out is a dear do, we hear! (4 5) 7. King in girl's bath causes upset! (7) 8. Star quality found in St James' Park Leisure Centre (7) 14. Notes on jobs for docker (9) 16. Ordered deaf mouse to be employed (4 3 2) 17. Clergyman loses a film star (7) 18. Flowers grow badly in tar spillage... (7) 20. ...One name may be "Flower" (7) 21. They examine trees on both sides of the road (7) 23. Trips made returning Master Edward inside (5) 24. Opted to get to bus station (5)


-
Technologies used in application includes HTB, Hibernate, Spring Framework, JUnit, Maven, Tomcat, Eclipse, Maven, MySQL.
- This product development is a health care platform with integrated hospital information system, picture archiving system, radiology, insurance etc. Leading modules in Sunray HIS admission, bed management, inpatient related modules and masters.
- I was involved in multiple development tasks like integration of applications using Single Sign On using Shibboleth and spring security module.
- I was involved in development of web tier using Flex, Spring BlazeDS integrations.
- Integration of flex based chat client, Openfire chat server with application.
- Involved in design and development of Address book using OpenLDAP, spring LDAP API.
- Deployed various applications in a portal environment like LifeRay.
- JMS integration of services using Apache Activemq and Spring integration support.
- Leading the sunray his modules admission, bed management, inpatient related modules and masters.
- Worked for upgrading the application from hibernate xml based configuration to annotation based persistence using Hibernate JPA implementation.
- I was at onsite in Oman, Muscat for system study and implementation for rChive PACS in two Hospitals.


{% set title = '404' %} {% extends 'layouts/error.html' %} {% block content %}
The page you are looking not found.


new HSBOT(topicList, topics)
A collection of HSBOT
functions for talk with bot and analyze data.
Supply template and your bot is ready.
Parameters:
| Name | Type | Description |
|---|---|---|
topicList |
Array
|
A collection of JSON object. |
topics |
Array
|
A collection of JSON object. |
Example
var topicList = require('../db/data/topicList.json'); // Your file path as per defined template.
var topics = require('../db/data/topics.json'); // Your file path as per defined template.
const HSBot = require('hsbot');
const hsBot = new HSBot(topicList, topics);
transformAndReply(userId, userName, pattern) → {callback}
This method is responsible to reply.
Parameters:
| Name | Type | Description |
|---|---|---|
userId |
String
|
User's ID. |
userName |
String
|
User name. |
pattern |
String
|
A human text or user query. |
Returns:
- Type:
-
callback
error-first callback, bot result based on user query.
Example
var topicList = require('../db/data/topicList.json'); // Your file path as per defined template.
var topics = require('../db/data/topics.json'); // Your file path as per defined template.
const HSBot = require('hsbot');
const hsBot = new HSBot(topicList, topics);
var userId = "aQ11zyTr4u7I";
var userName;
hsBot.transformAndReply(userId, userName, human_text, function(err, data){
console.log("HSBot:", data);
});
getUserAnalysis(userId) → {JSON}
This method will generate user analysis based on him activities.
Parameters:
| Name | Type | Description |
|---|---|---|
userId |
String
|
User's ID. |
Returns:
- Type:
-
JSON
Analysis of aggregate of user activities
Example
var topicList = require('../db/data/topicList.json'); // Your file path as per defined template.
var topics = require('../db/data/topics.json'); // Your file path as per defined template.
const HSBot = require('hsbot');
const hsBot = new HSBot(topicList, topics);
var userId = "aQ11zyTr4u7I";
hsBot.getUserAnalysis(userId);
Output
{
"timeSpent": "100261",
"frequentBotText": "Thank you for contacting us. you can call me by typing @hs anytime for further help.",
"frequentUserText": "@hs"
}
getChatHistory(userId) → {JSON}
This method is responsible to get user details based on userId.
Parameters:
| Name | Type | Description |
|---|---|---|
userId |
String
|
User's ID. |
Returns:
- Type:
-
JSON
user object.
Example
var topicList = require('../db/data/topicList.json'); // Your file path as per defined template.
var topics = require('../db/data/topics.json'); // Your file path as per defined template.
const HSBot = require('hsbot');
const hsBot = new HSBot(topicList, topics);
var userId = "aQ11zyTr4u7I";
hsBot.getChatHistory(userId);
Output
{
userName: "Hardik Shah",
userId: "aQ11zyTr4u7I",
loggedIn: 1235637,
activities: [
{
pattern: null,
preQ: "What is your name?",
ut: 12345688,
topic: "call1"
},
{
pattern: "Hardik Shah",
preQ: "Welcome Hardik Shah, How can I assist you?",
ut: 12345999,
topic: "call1"
}
]
}
getAllUserChatHistory() → {Array}
This method is responsible to get all user details.
Returns:
- Type:
-
Array
Array of all user details.
Example
var topicList = require('../db/data/topicList.json'); // Your file path as per defined template.
var topics = require('../db/data/topics.json'); // Your file path as per defined template.
const HSBot = require('hsbot');
const hsBot = new HSBot(topicList, topics);
var userId = "aQ11zyTr4u7I";
hsBot.getChatHistory(userId);
Output
[
{
userName: "Hardik Shah",
userId: "aQ11zyTr4u7I",
loggedIn: 1235637,
activities: [
{
pattern: null,
preQ: "What is your name?",
ut: 12345688,
topic: "call1"
},
{
pattern: "Hardik Shah",
preQ: "Welcome Hardik Shah, How can I assist you?",
ut: 12345999,
topic: "call1"
}
]
},
{
userName: "Kartik Shah",
userId: "aQ11zyTr4u22",
loggedIn: 1235637,
activities: [
{
pattern: null,
preQ: "What is your name?",
ut: 12345688,
topic: "call1"
},
{
pattern: "Kartik Shah",
preQ: "Welcome Kartik Shah, How can I assist you?",
ut: 12345999,
topic: "call1"
}
]
}
]


The following text contains the nodeset of the given Reference before it is canonicalized. There exist four different styles to indicate how a given node is treated.
<!-- XPath="self::default:Parent or (parent::default:Parent and not(self::default:Child)) or self::ns1:GrandChild or parent::ns1:GrandChild or self::default:GrandChild or parent::default:GrandChild" --> <!-- additionalNSPrefixes="default http://example.org/default ns1 http://example.org/ns1" --> <!-- Result C14N:--> <!-- Annotation C14N: 1. The default namespace node is rendered for Parent, since it is inherited from GrandParent. 2. The ns1 namespace node is rendered for the first GrandChild, since it is inherited from Child. 3. The default namespace node is not rendered for the first GrandChild, since the output parent of GrandChild (Parent) has the same namespace node with the same value, which is in the node set. 4. The ns1 namespace node is rendered for the second GrandChild (same as 2). 5. The default namespace node is rendered for the second GrandChild, since it is explicitly declared, and has a different value than that of Parent. 6. The ns1 namespace node is rendered for the third GrandChild (same as 2). 7. The default namespace node is not rendered for the third GrandChild (same as 3). 8. The ns1 namespace node is rendered for the fourth GrandChild (same as 2). 9. The default namespace node is not rendered fourth the third GrandChild (same as 3). --> <!-- Result EC14N: --> <!-- Annotation EC14N: 1. The default namespace node is rendered for Parent, since it is visibly utilized by Parent. 2. The ns1 namespace attribute is rendered for the first GrandChild, since it is visibly utilized by GrandChild. 3. The default namespace node is not rendered for the first GrandChild, since it is not visibly utilized. 4. The ns1 namespace attribute is rendered for the second GrandChild, since it is visibly utilized by GrandChild. 5. The default namespace node is not rendered for the second GrandChild, since it is not visibly utilized by GrandChild. The Gender attribute is in no namespace. 6. The ns1 namespace node is not rendered for the third GrandChild, since it is not visibly utilized. 7. The default namespace node is not rendered for the third GrandChild. It is visibly utilized, but the same namespace node with the same value has already been rendered in Parent (an output parent of GrandChild). 8. The default namespace node is not rendered for the fourth GrandChild, since it is not visibly utilized. 9. The ns1 namespace node is rendered for the fourth GrandChild, since it is visibly utilized by the ns1:Gender attribute of GrandChild. --> <GrandParent xmlns="http://example.org/default"> <Parent xmlns="http://example.org/default"> <Child xmlns="http://example.org/default" xmlns:ns1="http://example.org/ns1"> <ns1:GrandChild xmlns="http://example.org/default" xmlns:ns1="http://example.org/ns1"></ns1:GrandChild> <ns1:GrandChild xmlns="http://bar.com/default" xmlns:ns1="http://example.org/ns1" Gender="male"></ns1:GrandChild> <GrandChild xmlns="http://example.org/default" xmlns:ns1="http://example.org/ns1"></GrandChild> <GrandChild xmlns="http://example.org/default" xmlns:ns1="http://example.org/ns1" ns1:Gender="male"></GrandChild> </Child> </Parent> </GrandParent>


Unfortunately, I ballsed something up, and now all of my four hundred tasks from RTM have been deleted. Sad. They are all still on Astrid though. Happy. But when I sync from Astrid to Remember the Milk, none of those four hundred tasks are uploaded. Sad.
If you know how I can get my tasks back on to RTM, can you please comment here, or on the question I asked on Launchpad.
I am reminded of Havoc Pennington's screed on the subject. Get them to fix whatever in the UI did not put a GIANT molly-guard over this feature :).


The challenge is to post one photo every day for an entire year. The goal is to hone your photography skills.


AMOS
1
1 The words of Amos, who was among the shepherds of Tekoa, which he saw concerning Israel in the days of Uzziah king of Judah and in the days of Jeroboam the son of Joash, king of Israel, two years before the earthquake.
Judgment on Israel's Neighbors
2 And he said:
“The LORD roars from Zion
and utters his voice from Jerusalem;
the pastures of the shepherds mourn,
and the top of Carmel withers.”
3 Thus says the LORD:
“For three transgressions of Damascus,
and for four, I will not revoke the punishment,
because they have threshed Gilead
with threshing sledges of iron.
4 So I will send a fire upon the house of Hazael,
and it shall devour the strongholds of Ben-hadad.
5 I will break the gate-bar of Damascus,
and cut off the inhabitants from the Valley of Aven,
and him who holds the scepter from Beth-eden;
and the people of Syria shall go into exile to Kir,”
says the LORD.
6 Thus says the LORD:
“For three transgressions of Gaza,
and for four, I will not revoke the punishment,
because they carried into exile a whole people
to deliver them up to Edom.
7 So I will send a fire upon the wall of Gaza,
and it shall devour her strongholds.
8 I will cut off the inhabitants from Ashdod,
and him who holds the scepter from Ashkelon;
I will turn my hand against Ekron,
and the remnant of the Philistines shall perish,”
says the Lord GOD.
9 Thus says the LORD:
“For three transgressions of Tyre,
and for four, I will not revoke the punishment,
because they delivered up a whole people to Edom,
and did not remember the covenant of brotherhood.
10 So I will send a fire upon the wall of Tyre,
and it shall devour her strongholds.”
11 Thus says the LORD:
“For three transgressions of Edom,
and for four, I will not revoke the punishment,
because he pursued his brother with the sword
and cast off all pity,
and his anger tore perpetually,
and he kept his wrath forever.
12 So I will send a fire upon Teman,
and it shall devour the strongholds of Bozrah.”
13 Thus says the LORD:
“For three transgressions of the Ammonites,
and for four, I will not revoke the punishment,
because they have ripped open pregnant women in Gilead,
that they might enlarge their border.
14 So I will kindle a fire in the wall of Rabbah,
and it shall devour her strongholds,
with shouting on the day of battle,
with a tempest in the day of the whirlwind;
15 and their king shall go into exile,
he and his princes together,”
says the LORD.


Mean is a measure of the central tendency of a data series. It capture the key character of the distribution of the data series. When we talk about mean, by default it refers to arithmetic mean. It's defined as the sum of the values divided by the number of observations:
\[\mu = \frac{\sum_{i = 1}^{n}x_i}{n}\]Where \((x_1,x_2,x_3.....x_n)\) is our data series.
In python we can use NumPy.mean() to do the calculation:
print np.mean(aapl.log_price) [out]: 4.94597446551
The geometric mean is an average that is useful for data series of positive numbers that are better interpreted according to their product, such as growth rate. It's calculated by:
\[\bar{x} = \sqrt[n]{x_1x_2x_3...x_n}\]Let's calculate the geometric mean of a series of single-period return:
\[1+\bar{r} = \sqrt[t]{\frac{p_t}{p_{t-1}}*\frac{p_{t-1}}{p_{t-2}}*...*\frac{p_2}{p_1}*\frac{p_1}{p_0}}\] \[(1+\bar{r}) = \sqrt[t]{\frac{p_t}{p_0}}\]Now the equation becomes the form which we are familiar with:
\[(1+\bar{r})^t = \frac{p_t}{p_0}\]This is why we said it make sense when applied to growth rates.


Level 5: Invoice Viewer Application
Invoices
ID
Date
Amount
ERROR: Unable to display the data. Provided security token has expired


6+ years of experience as a Web Developer supporting website lifecycle processes including design, development, and maintenance. Creative problem solver with an active role in determining the design and function of CMS and standard websites. Highly proficient in most aspects of Wordpress to ensure optimal and efficient web navigation. Interact with multiple account executives to create high-quality products for long-term use. Looking to expand knowledge as a web developer.
Responsible for website buildout, maintenance, and custom code implementation. Customize and enhance Wordpress templates through HTML and CSS to create unique websites for various clients to fit their business needs. Integrate complex features including interactive maps and animation effects using PHP and JavaScript that are not included in standard Wordpress themes. Followed a concept to completion process to reassure successful product development and deployment. Collaborate with a team of directors, designers, and managers to produce exceptional websites as well as working independently. Successfully debugged website problems such as content errors, formatting issues, and functionality issues Supported websites with a primary target market of realtors and larger companies who prefer to advertise their business through a modern portfolio.
Worked as an intern with web support and advanced to full-time employment working with full website development. Helped with debugging process with responsive design, broken links, content errors and other various website problems. Managed support ticket system to ensure project request go to the right team member. Assisted with DNS management and SEO implementation to facilitate traffic flow of websites. Supported websites with a primary target of doctors, lawyers, and small businesses.


KadNode intercepts system wide DNS queries for the .p2p domain and resolves them in a decentralized fashion using P2P networks.


Thieves grab jewels and treasures worth 'up to a billion euros' from German museum
by Matthias RietschelThieves grabbed jewels and other treasures worth up to a billion euros from an eastern German museum in the early hours of Monday, Bild newspaper reported.
The intruders cut the electricity supply in Dresden's Gruenes Gewoelbe, or Green Vault museum, which houses one of Europe's largest collections of jewellery and court riches, the newspaper said without giving a source.
Police sealed off the building in Dresden's Baroque city palace and said they were still trying to work out what was missing. "We have not identified a perpetrator and nor have we yet made any arrests," police spokesman Marko Laske said.
There was no immediate comment from museum staff.
Please log in or register with Independent.ie for free access to this article.
New to Independent.ie? Create an account
The collection was founded in the 18th century by August the Strong, Elector of Saxony and later King of Poland.
One of its best known treasures - the 41-carat Dresden "Green Diamond" - was away on loan to New York's Metropolitan Museum of Art at the time of the break-in.
Other exhibits in Dresden include a table-sized sculpture of an Indian royal court from the 18th century, made out of gold, silver, enamel, precious stones and pearls.
Another is a 1701 golden coffee service by court jeweller Johann Melchior Dinglinger, decorated with lounging cherubs.
The treasures of the Green Vault survived Allied bombing raids in World War Two, only to be carted off as war booty by the Soviet Union. They were returned to Dresden, the historic capital of the state of Saxony, in 1958.
The theft was a blow to the whole state, its premier, Michael Kretschmer, said.
"The works in the Green Vault and the Palace were built up by the people of Saxony with many centuries of hard work," he said.


3
1 “If a man divorces his wife
and she goes from him
and becomes another man's wife,
will he return to her?
Would not that land be greatly polluted?
You have played the whore with many lovers;
and would you return to me?
declares the LORD.
2 Lift up your eyes to the bare heights, and see!
Where have you not been ravished?
By the waysides you have sat awaiting lovers
like an Arab in the wilderness.

Behold, you have spoken,
but you have done all the evil that you could.”
Faithless Israel Called to Repentance
6 The LORD said to me in the days of King Josiah: “Have you seen what she did, that faithless one, Israel, how she went up on every high hill and under every green tree, and there played the whore?
7 And I thought, ‘After she has done all this she will return to me,’ but she did not return, and her treacherous sister Judah saw it.
8 She saw that for all the adulteries of that faithless one, Israel, I had sent her away with a decree of divorce. Yet her treacherous sister Judah did not fear, but she too went and played the whore.
9 Because she took her whoredom lightly, she polluted the land, committing adultery with stone and tree.
10 Yet for all this her treacherous sister Judah did not return to me with her whole heart, but in pretense, declares the LORD.”
11 And the LORD said to me, “Faithless Israel has shown herself more righteous than treacherous Judah.
12 Go, and proclaim these words toward the north, and say,
“ ‘Return, faithless Israel,
declares the LORD.
I will not look on you in anger,
for I am merciful,
declares the LORD;
I will not be angry forever.
13 Only acknowledge your guilt,
that you rebelled against the LORD your God
and scattered your favors among foreigners under every green tree,
and that you have not obeyed my voice,
declares the LORD.
14 Return, O faithless children,
declares the LORD;
for I am your master;
I will take you, one from a city and two from a family,
and I will bring you to Zion.
15 “ ‘And I will give you shepherds after my own heart, who will feed you with knowledge and understanding.
16 And when you have multiplied and increased in the land, in those days, declares the LORD, they shall no more say, “The ark of the covenant of the LORD.” It shall not come to mind or be remembered or missed; it shall not be made again.
17 At that time Jerusalem shall be called the throne of the Lord, and all nations shall gather to it, to the presence of the LORD in Jerusalem, and they shall no more stubbornly follow their own evil heart.
18 In those days the house of Judah shall join the house of Israel, and together they shall come from the land of the north to the land that I gave your fathers for a heritage.
19 “ ‘I said
How I would set you among my sons,
and give you a pleasant land,
a heritage most beautiful of all nations.

Truly in the LORD our God
is the salvation of Israel.
24 “But from our youth the shameful thing has devoured all for which our fathers labored, their flocks and their herds, their sons and their daughters.
25 Let us lie down in our shame, and let our dishonor cover us. For we have sinned against the LORD our God, we and our fathers, from our youth even to this day, and we have not obeyed the voice of the LORD our God.”


CHAPTER THREE. PARSING
Here the programmer is suggesting that users often write “
; else
” where
they mean “
else
” and so on.
The insertion of
in 0 end
is a particularly important kind of correction,
known as a
scope closer
. Programs commonly have extra left parentheses or
right parentheses, or extra left or right brackets, and so on. In Tiger, another
kind of nesting construct is
let
· · ·
in
· · ·
end
. If the programmer forgets to
close a scope that was opened by left parenthesis, then the automatic single-
token insertion heuristic can close this scope where necessary. But to close
a
let
scope requires the insertion of three tokens, which will not be done
automatically unless the compiler-writer has suggested “change
nothing
to
in 0 end
” as illustrated in the
%change
command above.
P R O G R A M
PARSING
Use Yacc to implement a parser for the Tiger language. Appendix A de-
scribes, among other things, the syntax of Tiger.
You should turn in the ﬁle
tiger.grm
and a
README
.
Supporting ﬁles available in
$TIGER/chap3
include:
makefile
The “makeﬁle.”
errormsg.[ch]
The Error Message structure, useful for producing error mes-
sages with ﬁle names and line numbers.
lex.yy.c
The lexical analyzer. I haven’t provided the source ﬁle
tiger.lex
,
but I’ve provided the output of Lex that you can use if your lexer isn’t working.
parsetest.c
A driver to run your parser on an input ﬁle.
tiger.grm
The skeleton of a ﬁle you must ﬁll in.
You won’t need
tokens.h
anymore; instead, the header ﬁle for tokens is
y.tab.h
, which is produced automatically by Yacc from the token speciﬁ-
cation of your grammar.
Your grammar should have as few shift-reduce con°icts as possible, and
no reduce-reduce con°icts. Furthermore, your accompanying documentation
should list each shift-reduce con°ict (if any) and explain why it is not harmful.
My grammar has a shift-reduce con°ict that’s related to the confusion be-
tween
variable [ expression ]
type-id [ expression ]
of
expression
In fact, I had to add a seemingly redundant grammar rule to handle this con-
fusion. Is there a way to do this without a shift-reduce con°ict?
82


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library: Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Research Papers
- Diffusion Constraints for Vector Graphics
-
Hedlena Bezerra,
Elmar Eisemann,
Doug DeCarlo,
Joelle Thollot
- Video Stylization for Digital Ambient Displays of Home Movies
-
Tinghuai Wang
John Collomosse,
David Slatter,
Phil Cheatle,
Darryl Greig
- Sisley the Abstract Painter
-
Mingtian Zhao,
Song-Chun Zhu
- Example-Based Stippling using a Scale-Dependent Grayscale Process
-
Domingo Martin,
German Arroyo,
Maria Victoria Luzon,
Tobias Isenberg
- Directional texture transfer
-
Hochang Lee,
Sanghyun Seo,
Seungtaek Ryoo,
Kyunghyun Yoon
- Towards Artistic Minimal Rendering
-
Paul Rosin,
Yukun Lai
- Stylized depiction of images based on depth perception
-
Jorge Lopez-Moreno,
Jorge Jimenez,
Sunil Hadap,
Erik Reinhard,
Ken Anjyo,
Diego Gutierrez
- Progressive Histogram Reshaping for Creative Color Transfer and Tone Reproduction
-
Tania Pouli,
Erik Reinhard
- Self-Similar Texture for Coherent Line Stylization
-
Pierre Benard,
Forrester Cole,
Aleksey Golovinskiy,
Adam Finkelstein
- Vector Fluid: A Vector Graphics Depiction of Surface Flow
-
Ryoichi Ando,
Reiji Tsuruno
- A Few Good Samples: Shape and Tone Depiction for Hermite RBF Implicits
-
Emilio Vital Brazil,
Maria Costa Sousa,
Luiz Velho,
Luiz de Figueiredo,
Ives Macedo
- iR2s: Interactive Real photo to Sumi-e
-
Xie Ning,
Hamid Laga,
Suguru Saito,
Masayuki Nakajima
- Detail-Preserving Paint Modeling for 3D Brushes
-
Nelson Chu,
William Baxter,
Li-Yi Wei,
Naga Govindaraju
- Compact Explosion Diagrams
-
Markus Tatzgern,
Denis Kalkofen,
Dieter Schmalsteig
- Painterly Animation Using Video Semantics and Feature Correspondence
-
Liang Lin,
Kun Zeng, Han Lv, Yizhou Wang, Yingqing Xu,
Song-Chun Zhu
Position / Grand-challenge Papers
- Non-Photorealistic Rendering and The Science of Art
-
Aaron Hertzmann
- Visual Explanations
-
Doug DeCarlo,
Matthew Stone
- Towards mapping the field of Non-Photorealisitc Rendering
-
Amy Gooch
- Viewing Progress in Non-photorealistic Rendering through Heinlein's Lens
-
Amy Gooch,
Jeremy Long,
Li Ji, Anthony Estey,
Bruce Gooch
kesen.huang@gmail.com


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TAttributeCollection class
TAttributeCollection implements a collection for storing attribute names and values.
Besides all functionalities provided by TMap, TAttributeCollection allows you to get and set attribute values like getting and setting properties. For example, the following usages are all valid for a TAttributeCollection object:
They are equivalent to the following:
- $collection->Text='text';
- echo $collection->Text;
Note, attribute names are case-insensitive. They are converted to lower-case in the collection storage.
Located in /Collections/TAttributeCollection.php (line 45)
TComponent | --TMap | --TAttributeCollection
Adds an item into the map.
This overrides the parent implementation by converting the key to lower case first if CaseSensitive is false.
Determines whether a property can be read.
This method overrides parent implementation by returning true if the collection contains the named key.
Determines whether a property can be set.
This method overrides parent implementation by always returning true because you can always add a new value to the collection.
Returns whether the specified is in the map.
This overrides the parent implementation by converting the key to lower case first if CaseSensitive is false.
Determines whether a property is defined.
This method overrides parent implementation by returning true if the collection contains the named key.
Returns the item with the specified key.
This overrides the parent implementation by converting the key to lower case first if CaseSensitive is false.
Removes an item from the map by its key.
This overrides the parent implementation by converting the key to lower case first if CaseSensitive is false.
Returns a property value or an event handler list by property or event name.
This method overrides the parent implementation by returning a key value if the key exists in the collection.
Sets value of a component property.
This method overrides the parent implementation by adding a new key value to the collection.
Inherited From TMap
TMap::__construct()
TMap::add()
TMap::clear()
TMap::contains()
TMap::copyFrom()
TMap::count()
TMap::getCount()
TMap::getIterator()
TMap::getKeys()
TMap::getReadOnly()
TMap::itemAt()
TMap::mergeWith()
TMap::offsetExists()
TMap::offsetGet()
TMap::offsetSet()
TMap::offsetUnset()
TMap::remove()
TMap::setReadOnly()
TMap::toArray()
Inherited From TComponent
TComponent::addParsedObject()
TComponent::attachEventHandler()
TComponent::canGetProperty()
TComponent::canSetProperty()
TComponent::createdOnTemplate()
TComponent::detachEventHandler()
TComponent::evaluateExpression()
TComponent::evaluateStatements()
TComponent::getEventHandlers()
TComponent::getSubProperty()
TComponent::hasEvent()
TComponent::hasEventHandler()
TComponent::hasProperty()
TComponent::raiseEvent()
TComponent::setSubProperty()
TComponent::__get()
TComponent::__set()
Documentation generated on Sun, 11 Jan 2009 20:16:54 -0500 by phpDocumentor 1.3.0RC4


1 write to RemoteData
System.Management.Automation (1)
engine\remoting\server\serverremotingprotocolimplementation.cs (1)
223
negotiationArg.
RemoteData
= rcvdData;


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NZQA exam questions portray unbalanced view of farming
by New Zealand National PartyNZQA exam questions portray unbalanced view of farming
NZQA needs to front up to concern that has been created by questions in their exams painting a one-sided picture of New Zealand’s farmers, National’s Agriculture spokesperson Todd Muller says.
“Students who sat their NCEA level three English exam were tasked with a question that described waterways as being ravaged by farmers and spoke of a ‘town vs country’ divide.
“There needs to be some balance in how our education system portrays farmers. We have the most sustainable farmers in the world but this rarely gets mentioned.
“Coupled with our national museum Te Papa advising our children they should be giving up meat and dairy for the sake of the environment, there is a concern our kids are being convinced that farming drives environmental degradation.
“Farmers’ confidence is at all-time lows, and this just adds to the pressure that is being heaped onto them by Government policy. They feel that anti-farming sentiment is becoming insidious in this country.
“We should be encouraging young Kiwis to be New Zealand’s next sustainable food producers, rather than pushing them away from the industry.
“New Zealand farmers have made massive gains over recent decades and continue to stay ahead of the pack in terms of efficiency and sustainability. Over the last five years dairy farmers have fenced off over 98 per cent of waterways and spent over $1 billion in environmental investment.
“NZQA need to ensure they’re teaching this side of the story as well.”


BATTLESHIP GAME
You have 20 attempts.
Click on one cell to make a play. Each battleship has length of three cells.


But I must explain to you how all this mistaken idea of denouncing pleasure and praising pain was born and I will give you a complete account of the system, and expound the actual teachings of the great explorer of the truth, the master-builder of human happiness. No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know extremely painful.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy.


Once in a while there appears a new technology that promises dramatic social changes. It often comes unexpectedly, from some modest-looking area of science or engineering, and I always wonder what is going to appear next.
One candidate for such new technology may be aerial robotics. People have been working on mobile robots for a while now. The most difficult issue with walking robots seems to be orientation in the environment. Image recognition is a very costly and difficult task, and it is essential for moving around on land. Not that much in other environments though - like air or water. There are additional difficulties of aerial robotics: the craft must have efficient and light-weight equipment for position identification and communication - but these problems are now resolved with cellular modems and GPS.
So now you can build little blimps, planes and helicopters that can fly around and do things. Aerial robots may free people from many tasks that are "dull, dirty, or dangerous" (D3) - or costly: a pigeon-sized flying robot may quickly accomplish missions - like deliver your pills from the farmacy, or take a picture of a corn field from the air - that now require a car or a helicopter.
You don't have to own an aerial robot. They may be available for hire at a very low price (a few dollars an hour or less), and you could rent one for a 5-minute mission for a quarter. The robots could also refuel themselves at automated gas stations, paying with digital cash there - so they will require minimal maintenance from an owner.
Now, let me list some interesting things that aerial robots could do:
- collect information: a flying robot can visit places, or follow objects, and record and/or transmit everything it can observe. That allows you to fly a little craft with a camera around the Great Canyon, or above the Eiffel tower (you can control it via Internet, and get images and sounds back), "virtually visiting" a real museum by flying a WebCam- equipped blimp through its halls, following wild animals and cute girls, spying after [potential?] criminals or anybody else, etc.
[ An interesting issue here is that it may be very difficult to identify who the robot is serving at any particular moment. So physical tasks can be as anonymous as Internet communications. ]
- deliver small physical objects. Getting pills or apples is one example. There are more fun things to do though. You can drop a dead frog on your neighbor's head. Or spray some foul substance over a crowd. Or deliver drugs - quickly and anonymously. Or shoot somebody from the air. You can also steal small things by driving robots remotely, or teaching them to pick up rings, dollar bills, etc.
It seems that the features of small aerial robots - being aiborne, cheap and anonymous - allow to do lots of things from which the society doesn't have much protection. Introduction of aerial robots that is likely to happen on a large scale within the next 5 to 10 years, may deliver multiple benefits, and at the same time create quite a turmoil. - And wait until we have lots of swimming and running little robots.
If you are interested, there is more practical info at 1997 International Aerial Robotics Competition page
[ I am grateful to Fred Hapgood who pointed me to this field ]
feedback -- other essays -- home


Filter Twitter Module.
- Source:
Requires
- module:ramda
- module:./tweet-time
Members
(inner, constant) evolvedFriend :Object
Type:
- Object
(inner, constant) evolvedTweet :Object
Spec Object used with R.evolve to transform a object to a new object
with the properties changed by applying the functions provided in the
spec Object.
Type:
- Object
- Source:
- See:
Methods
(static) checkFriends(res) → {Array.<module:modules/filter-twitter~User>}
Accepts a successful response object from Twitter to abstract and
modify a users list of friends. module:modules/filter-twitter~evolvedFriend helps to do this.
The friends are User Objects.
Parameters:
| Name | Type | Description |
|---|---|---|
res |
Object | Response Object |
Returns:
- Type
- Array.<module:modules/filter-twitter~User>
(static) checkMessages(messages, users, self) → {Array.<Array.<Object>>}
Accpts multiple successful response objects from Twitter, them being
Messages, friends and the user User Objects. They are all needed to
abstract and modifiy the last most recent five messages (if available)
into groups and conversations with another user.
Parameters:
| Name | Type | Description |
|---|---|---|
messages |
Array.<module:modules/filter-twitter~Message> | |
users |
Array.<module:modules/filter-twitter~User> | Friends of user |
self |
module:modules/filter-twitter~User | User's User Object |
- Source:
Returns:
Adjusted Message Objects in different groups
- Type
- Array.<Array.<Object>>
(static) checkPostTweet(res) → {module:modules/filter-twitter~Tweet}
Accepts a successful response object from Twitter to abstract and
modify a posted Tweet Object.
Parameters:
| Name | Type | Description |
|---|---|---|
res |
Object | Response Object |
- Source:
Returns:
(static) checkScreenName(str) → {string}
Replaces a substring of '@' with an empty string in a string.
Parameters:
| Name | Type | Description |
|---|---|---|
str |
string |
- Source:
Returns:
- Type
- string
(static) checkSelf(res) → {module:modules/filter-twitter~User}
Accepts a successful response object from Twitter to abstract and
modify the users User Object.
Parameters:
| Name | Type | Description |
|---|---|---|
res |
Object | Response Object |
Returns:
(static) checkTweets(res) → {Array.<module:modules/filter-twitter~Tweet>}
Accepts a successful response object from Twitter to abstract and
modify Tweet Objects. module:modules/filter-twitter~checkTweet
helps do this.
Parameters:
| Name | Type | Description |
|---|---|---|
res |
Object | Response Object |
- Source:
Returns:
- Type
- Array.<module:modules/filter-twitter~Tweet>
(static) getIdsFromMessages(res) → {string}
Accepts a successful response object from Twitter to abstract all the
recipient_id and sender_id available through all the messages in an
array of Messages. Returns back a comma joined string with all of the
ids.
Parameters:
| Name | Type | Description |
|---|---|---|
res |
Object | Response Object |
- Source:
Returns:
- Type
- string
Example
'2131312,4453453,234234234'
(inner) appendAt(str) → {string}
Adds the character '@' at the start of a string.
Parameters:
| Name | Type | Description |
|---|---|---|
str |
string |
- Source:
Returns:
- Type
- string
(inner) checkIds(ids, list) → {boolean}
Checks an an array of Messages to see if its recipient's and sender's
id_str property are contained within an array of string ids. If any of
the messages does not contain any of the ids listed it fails the test.
Parameters:
| Name | Type | Description |
|---|---|---|
ids |
Array.<string> | Array of string ids |
list |
Array.<module:modules/filter-twitter~Message> | Array of Messages |
- Source:
Returns:
- Type
- boolean
(inner) checkTweet(tweet) → {module:modules/filter-twitter~Tweet}
Creates a new Tweet Object with modified properties that we want from
evolvedTweet. Also checks to see if Tweet Object is a retweet, in which
case the original Tweet Object is retrieved and used instead.
Parameters:
| Name | Type | Description |
|---|---|---|
tweet |
module:modules/filter-twitter~Tweet |
Returns:
(inner) deepPath() → {function}
Takes an array of strings and maps each element with dotPath. Then it
it takes that mapped array and applies it to R.juxt as its first
argument.
Parameters:
| Type | Description |
|---|---|
| Array.<string> |
- Source:
Returns:
Curried function of R.juxt
- Type
- function
(inner) dotPath() → {function}
Takes a string and splits it into an array for every '.'. Then it
applies it with R.path as its first argument.
Parameters:
| Type | Description |
|---|---|
| string |
- Source:
Returns:
Curried function of R.path
- Type
- function
(inner) findContact(user, messages) → {module:modules/filter-twitter~User}
Takes a User and an array of Message Objects to determine whether the
User is currently being contacted or the other User from the chat. It
then returns that User object.
Parameters:
| Name | Type | Description |
|---|---|---|
user |
module:modules/filter-twitter~User | Current user |
messages |
Array.<module:modules/filter-twitter~Message> |
- Source:
Returns:
(inner) findUser(users, id_str) → {module:modules/filter-twitter~User}
Finds a User Object from an array of Users based on the 'id_str'
property.
Parameters:
| Name | Type | Description |
|---|---|---|
users |
Array.<module:modules/filter-twitter.User> | |
id_str |
string |
- Source:
Returns:
(inner) groupIntoConvos(acc, message) → {Array.<Array.<module:modules/filter-twitter~Message>>}
A reduce function that accepts an accumlator array and a Message Object.
It uses checkIds to see if the prop id_str of the recipient and sender
are both contained within any of the conversations. If they are both
found within one of the conversations groups in the accumlator, the
Message object is added to that group, if not a new group is created and
added to the accumlator.
A conversation group is an array of Message Objects in which each object
has the same 2 id_str found for either recipient or the sender Object.
Parameters:
| Name | Type | Description |
|---|---|---|
acc |
Array.<Array.<module:modules/filter-twitter~Message>> | |
message |
module:modules/filter-twitter~Message |
- Source:
Returns:
- Type
- Array.<Array.<module:modules/filter-twitter~Message>>
Example
[[message, message, message], [message, message]]
(inner) makeImagesBigger(str) → {string}
Replaces a substring of '_normal.' to '_bigger.' in a string.
Parameters:
| Name | Type | Description |
|---|---|---|
str |
string |
- Source:
Returns:
- Type
- string
(inner) specConver(user) → {Object}
Returns a spec Object by first populating it with a User object, which
would be the active user.
Parameters:
| Name | Type | Description |
|---|---|---|
user |
module:modules/filter-twitter~User | Current active user |
- Source:
- See:
Returns:
spec object used later with R.evolve
- Type
- Object
(inner) specMessage(users, self) → {Object}
Returns a spec Object by first populating it with an Array of Users and
a User object, which would be the active user.
Parameters:
| Name | Type | Description |
|---|---|---|
users |
Array.<module:modules/filter-twitter~User> | |
self |
module:modules/filter-twitter~User | Current active user |
- Source:
- See:
Returns:
spec object used later with R.evolve
- Type
- Object
Type Definitions
Message
Message Object which contains information such the recipient, sender,
the text message, and other details.
Type:
- Object
- Source:
- See:
Tweet
Tweet Object which contains information from Twitters tweets.
Type:
- Object
- Source:
- See:
User
User Object
Type:
- Object


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import models.nextUpdates.ObligationsModel @import views.html.helpers.injected.obligations.NextUpdatesHelper @import views.html.components._ @import views.html.layouts.unifiedLayout @this( mainTemplate: unifiedLayout, h1: h1, h2: h2, p: p, link: link, detailsDropdown: detailsDropdown, nextUpdatesHelper: NextUpdatesHelper ) @(currentObligations: ObligationsModel, backUrl: String, isAgent: Boolean = false, origin: Option[String] = None)(implicit request: Request[_], messages: Messages, user: auth.MtdItUser[_]) @mainTemplate( pageTitle = messages("nextUpdates.heading"), backUrl = Some(backUrl), isAgent = isAgent, btaNavPartial = user.btaNavPartial, origin = origin, useFallbackBackLink = true ) { @h1(msg = "nextUpdates.heading") @p(){@messages("nextUpdates.info")} @detailsDropdown("nextUpdates.dropdown.info", detailsContent)


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1)Washing & Dying: Clean your fabric as well as possible before dyeing to remove the residues of oils from the manufacture. For lightweight fabric, you can probably get away with a thorough machine wash as I describe in my book, but for thicker canvas-type fabric and thicker linens, you may decide you need to "scour" the fabric.
2)Cutting & Stitching Lines:The clothing industry will probably be one of the last to see robots replace humans. Although there is some automation in garment manufacturing, robots still can’t sew clothes from start to finish. That’s why jeans makers still rely on good ol’ hand-eye coordination, which means people of flesh and blood. It doesn’t matter how (in)expensive a pair of jeans are; they’re all made by hand.
3)Finishing & Packing : A nice packaging of garments sometimes increases sales at the retailer’s point. When we look at mass garment manufacturing for the export market and home market, we need to take care of the final packaging of articles, transportation of goods from manufacturing house to a retail shop and easy distribution of colour and sizes to the stores


{% extends 'base.html' %} {% load static %} {% block content %}
We aim to make this website easy to use and as accessible as possible. Our aim is that the site will meet the recommended government standard for web accessibility (WCAG 2.1 AA). This means that you should be able to:
If you wish to contact us about the accessibility of this website please email<EMAIL_ADDRESS>This statement was last reviewed on 8th July 2020.
{% endblock %}


--- layout: post tags: [AutoFixture, Software Design] date: 2009-05-01 03:56:00 UTC title: "Dealing With Constrained Input" --- {% include JB/setup %}
As a response to my description of how AutoFixture creates objects, Klaus asked:
“[What] if the constructor of ComplexChild imposes some kind of restriction on its parameter? If, for example, instead of the "name" parameter, it would take a "phoneNumber" parameter (as a string), and do some format checking?”
Now that we have covered some of the basic features of AutoFixture, it's time to properly answer this excellent question.
For simplicity's sake, let's assume that the phone number in question is a Danish phone number: This is pretty good for example code, since a Danish phone number is essentially just an 8-digit number. It can have white space and an optional country code (+45), but strip that away, and it's just an 8-digit number. However, there are exceptions, since the emergency number is 112 (equivalent to the American 911), and other 3-digit special numbers exist as well.
With that in mind, let's look at a simple Contact class that contains a contact's name and Danish phone number. The constructor might look like this:
public Contact(string name, string phoneNumber) { this.Name = name; this.PhoneNumber = Contact.ParsePhoneNumber(phoneNumber); }
The static ParsePhoneNumber method strips away white space and optional country code and parses the normalized string to a number. This fits the scenario laid out in Klaus' question.
So what happens when we ask AutoFixture to create an instance of Contact? It will Reflect over Contact's constructor and create two new anonymous string instances - one for name, and one for phoneNumber. As previously described, each string will be created as a Guid prepended with a named hint - in this case the argument name. Thus, the phoneNumber argument will get a value like "phoneNumberfa432351-1563-4769-842c-7588af32a056", which will cause the ParsePhoneNumber method to throw an exception.
How do we deal with that?
The most obvious fix is to modify AutoFixture's algorithm for generating strings. Here an initial attempt:
fixture.Register<string>(() => "112");
This will simply cause all generated strings to be "112", including the Contact instance's Name property. In unit testing, this may not be a problem in itself, since, from an API perspective, the name could in principle be any string.
However, if the Contact class also had an Email property that was parsed and verified from a string argument, we'd be in trouble, since "112" is not a valid email address.
We can't easily modify the string generation algorithm to fit the requirements for both a Danish telephone number and an email address.
Should we then conclude that AutoFixture isn't really useful after all?
On the contrary, this is a hint to us that the Contact class' API could be better. If an automated tool can't figure out how to generate correct input, how can we expect other developers to do it?
Although humans can make leaps of intuition, an API should still go to great lengths to protect its users from making mistakes. Asking for an unbounded string and then expecting it to be in a particular format may not always be the best option available.
In our particular case, the Value Object pattern offers a better alternative. Our first version of the DanishPhoneNumber class simply takes an integer as a constructor argument:
public DanishPhoneNumber(int number) { this.number = number; }
If we still need to parse strings (e.g. from user input), we could add a static Parse, or even a TryParse, method and test that method in isolation without involving the Contact class.
This neatly solves our original issue with AutoFixture, since it will now create a new instance of DanishPhoneNumber as part of the creation process when we ask for an anonymous Contact instance.
The only remaining issue is that by default, the number fed into the DanishPhoneNumber instance is likely to be considerably less than 112 - actually, if no other Int32 instances are created, it will be 1.
This will be a problem if we modify the DanishPhoneNumber constructor to look like this:
public DanishPhoneNumber(int number) { if ((number < 112) || (number > 99999999)) { throw new ArgumentOutOfRangeException("number"); } this.number = number; }
Unless a unit test has already caused AutFixture to previously create 111 other integers (highly unlikely), CreateAnonymous<Contact> is going to throw an exception.
This is easy to fix. Once again, the most obvious fix is to modify the creation algorithm for integers.
fixture.Register<int>(() => 12345678);
However, this will cause that particular instance of Fixture to return 12345678 every time you ask it to create an anonymous integer. Depending on the scenario, this may or may not be a problem.
A more targeted solution is to specifically address the algorithm for generating DanishPhoneNumber instances:
fixture.Register<int, DanishPhoneNumber>(i => new DanishPhoneNumber(i + 112));
Here, I've even used the Register overload that automatically provides an anonymous integer to feed into the DanishPhoneNumber constructor, so all I have to do is ensure that the number falls into the proper range. Adding 112 (the minimum) neatly does the trick.
If you don't like the hard-coded value of 112 in the test, you can use that to further drive the design. In this case, we can add a MinValue to DanishPhoneNumber:
fixture.Register<int, DanishPhoneNumber>(i => new DanishPhoneNumber(i + DanishPhoneNumber.MinValue));
Obvously, MinValue will also be used in DanishPhoneNumber's constructor to define the lower limit of the Guard Clause.
In my opinion, a good API should guide the user and make it difficult to make mistakes. In many ways, you can view AutoFixture as an exceptionally dim user of your API. This is the reason I really enjoyed receiving Klaus' original question: Like other TDD practices, AutoFixture drives better design.


The main goal of tfdeploy is to create models in R and then export, test, and deploy those models to environments without R. However, there may be cases when it makes sense to use a saved model from R:
One way to use a deployed model from R would be to execute HTTP requests using a package like httr
. For non-deployed models, it is possible to use serve_savedmodel
- as we did for local testing - along with a tool like httr
. However, there is an easier way to make predictions from a saved model using the predict_savedmodel
function.
Using the same MNIST model described previously, we can easily make predictions for new pre-processed images. For example, we can load the MNIST test data set and predict a digit for the first 10 images:
library(keras)
library(tfdeploy)
test <- dataset_mnist()$test$x
processed_test <- array_reshape(test, dim = c(nrow(test), 784)) / 255
processed_test_list <- lapply(1:10, function(i) {processed_test[i,]})
predict_savedmodel(processed_test_list, '../savedmodel/')
Prediction 1:
$prediction
[1] 3.002971e-37 8.401216e-29 2.932129e-24 4.048731e-22 0.000000e+00 9.172148e-37
[7] 0.000000e+00 1.000000e+00 4.337524e-31 1.772979e-17
Prediction 2:
$prediction
[1] 0.000000e+00 4.548326e-22 1.000000e+00 2.261879e-31 0.000000e+00 0.000000e+00
[7] 0.000000e+00 0.000000e+00 2.390626e-38 0.000000e+00
...
A few things to keep in mind:
predict_savedmodel
expects the new instances to already be pre-processed.predict_savedmodel
requires the new data to be in a list, and it always returns a list. This requirement faciliates models with more complex inputs or ouputs.In this previous example we used predict_savedmodel
with the directory, ‘savedmodel’, which was created with the export_savedmodel
command. In addition to providing a path to a saved model directory, predict_savedmodel
can also be used with a deployed model by supplying a REST URL, a CloudML model by supplying a CloudML name and version, or by supplying a graph object loaded with load_savedmodel
.
load_savedmodel
can be used alongside of predict_savedmodel
if the prediction function will be called multiple times. For example:
predict_savedmodel(instances, 'savedmodel')
# OR
sess <- tensorflow::tf$Session()
graph <- load_savedmodel(sess, '../savedmodel')
predict_savedmodel(instances, graph)
There are many different ways to interact with models from R. Models can be developed directly in-memory. Keras models can be saved and reloaded from HDF5 files, serialized and saved as R data files, or model configurations can be saved to JSON or YAML. TensorFlow, Keras, and tfestimator models can be saved and exported with tfdeploy
.
The correct option depends on the task and your goals.
| Model | Can Be Re-trained | Predictions |
|---|---|---|
| In memory keras, tfestimators, or tensorflow model | Yes | Locally, with predict
|
| keras model saved in hdf5 | Yes | Locally, with predict after load_model_hdf5
|
| keras model serialized to R object | Yes | Locally, with predict after unserialzing |
| tfdeploy saved model from disk | No | Locally with predict_savedmodel(..., <file path>)
|
| tfdeploy saved model deployed on CloudMl or RStudio Connect | No | Scoring occurs remotely with HTTP requests or predict_savedmodel(..., <url>)
|


Extensions
The following extensions are available globally.
-
Declaration
Swift
struct CGFloat
-
Declaration
Swift
@_frozen enum Optional<Wrapped> : ExpressibleByNilLiteral
-
Declaration
Swift
struct Double
-
Declaration
Swift
struct Int : FixedWidthInteger, SignedInteger
-
Declaration
Swift
struct UInt32 : FixedWidthInteger, UnsignedInteger


In this case, there were two major parts which are preparing method to assume emission details and validating of it. By using analytical method and regression analysis, software has been developed. For validate software, manually emission inventory has been prepared by using existing data of locomotive available in SLR.
To prepare emission inventory, average fuel consumption has been used. For that fuel inlet and running data of July 2014 has been used. From those data average fuel consumption rate for each locomotive has been calculated. Initially before selecting the time duration, monthly fuel consumption of each engine has been checked for year 2013. For single engine type, between two months there are no considerable variation of fuel consumption rate. There for monthly data has been used to find average fuel consumption rate
Over those, as mention in methodology, emission inventory has been prepared, but there are some drawbacks on this which are not consider while preparing. In this method track variations has not been considered not only that variation due to weather conditions also not accounted. Load of the locomotive is another factor that need to consider while preparing the inventory. Load of the locomotive is depends on the passenger volume, that is another factor that which couldn’t allocating while using fuel consumption. Because of those reasons, exact fuel consumption and exact emission is not represent in between two station. No specific emission has been calculated. In this case only factor that affecting on fuel consumption is locomotive condition.
Because of above reason prepared inventory is not exactly correct. To minimize above reasons, case study has been conducted. That case study has been conducted to only one locomotive type because of the limitation mention in early chapter. This case study has been done to minimize the drawback occurred in because of above reasons.
Above mention drawbacks can be predicted, but there are some factors effect on fuel consumption which cannot be predicted such as delays due to signal failures, delays due to damage on railway tracks, delays due to unexpected traffic conjunction and railway accidents. Localise fuel wastage occurred because of this reasons, there for emission also higher in the areas that occurs, but with the methodology followed to prepare this inventory those emission accounted for the total journey.
To avoid these errors, real time measuring procedure needs to be allocated. But with the existing system, it is hard task because, there are no any locomotive with flow meter to measure fuel consumption. Not only that still SLR couldn’t run any program to measure emission of SLR locomotives.
SLR couldn’t have records of some locomotives such as W3. Available data of some locomotives are not enough to calculate average consumption. In some S8 locomotives running distance is not available. There for while preparing this inventory, effect of those unavailable data has been neglected. Other than that emergency trains and trains used to pull breakdown trains also neglected (Y engines).
Analytical method that used in this research is based on set of assumptions which are stats on earlier chapters. Some factors that has been mention in early paragraphs are over come up to considerable level such as track characteristic variations and other depended variables which are unique to train number. Anyhow still unable to catch up some factors such as weather conditions and unpredictable delays such as traffic conjunction, and accidents.
One of the factor that make high impact on the fuel consumption is driving pattern. Driving pattern of the locomotive is depend on the driver’s experience and abilities and it is unique to the driver. But in this case it is assumed to be fixed by giving precedence to reaching the next stop on time, but in practical scenario this time can be limit or exceed that because of delays or drivers ability.
As mention in above paragraph, precedence is given to the travel time between two stations. though while assuming acceleration encountered problem is that acceleration is depend on the velocity achieved, but achievable velocity is depend on the accelerations hence resistance throughout the journey between following two station be considered as constant. From that made an assumption acceleration between two stations is constant.
While assuming deceleration, assumed that deceleration and acceleration values are equal between following two station. But to avoid slipping deceleration cannot exceed over 0.6 ms-1. If any case, whether acceleration exceed 0.6 ms-1, deceleration value is get as 0.6 ms-1.
Emission factors which used in this project is reserved from the environmental protection authority of USA from the research which is done in 2013. But these details are correct only for the Canadian locomotive. In Sri Lanka there are locomotives which was manufactured in Canada, France, India, Germany, Britain and china. There for there is a considerable variation in locomotive emissions. Another assumption that made while selecting emission factors is all locomotive which is in similar type has same emissions. This would make considerable deviation on emission inventory compared to real emission.
| FROM THE ALGORITHM | FROM THE CASE STUDY | FROM THE AVERAGE FUEL CONSUMPTION | ||||||||||||||||||
| Start Station | End Station | Tier | Fuel Consumption | CO2 | CO | NOx | PM | HC | fuel burned | CO2 | CO | NOx | PM | HC | fuel burned | CO2 | CO | NOx | PM | HC |
| l | g | g | g | g | g | l | g | g | g | g | g | l | g | g | g | g | g | |||
| Colombo Fort | Maradana | 3 | 3.830 | 10293.13 | 145.125 | 302.344 | 6.047 | 36.281 | 7.36 | 19777.25 | 278.88 | 580.99 | 11.62 | 69.72 | 7.91 | 21265.86 | 299.87 | 624.72 | 12.49 | 74.97 |
| Maradana | Dematagoda | 3 | 1.599 | 4297.31 | 60.609 | 126.269 | 2.525 | 15.152 | 6.97 | 18736.34 | 264.20 | 550.41 | 11.01 | 66.05 | 7.50 | 20146.61 | 284.08 | 591.84 | 11.84 | 71.02 |
| Dematagoda | Kelaniya | 3 | 2.067 | 5555.06 | 78.348 | 163.226 | 3.265 | 19.587 | 12.32 | 33100.87 | 466.75 | 972.40 | 19.45 | 116.69 | 13.24 | 35592.34 | 501.88 | 1045.59 | 20.91 | 125.47 |
| Kelaniya | Wanawasala | 3 | 1.105 | 2969.69 | 41.884 | 87.259 | 1.745 | 10.471 | 6.58 | 17695.44 | 249.52 | 519.83 | 10.40 | 62.38 | 7.08 | 19027.35 | 268.30 | 558.96 | 11.18 | 67.08 |
| Wanawasala | Hunupitiya | 3 | 0.923 | 2480.56 | 34.986 | 72.887 | 1.458 | 8.746 | 5.50 | 14780.89 | 208.42 | 434.21 | 8.68 | 52.11 | 5.91 | 15893.43 | 224.11 | 466.90 | 9.34 | 56.03 |
| Hunupitiya | Enderamulla | 3 | 1.131 | 3039.56 | 42.870 | 89.312 | 1.786 | 10.717 | 6.74 | 18111.80 | 255.39 | 532.07 | 10.64 | 63.85 | 7.25 | 19475.05 | 274.61 | 572.11 | 11.44 | 68.65 |
| Enderamulla | Horape | 3 | 1.560 | 4192.50 | 59.131 | 123.189 | 2.464 | 14.783 | 9.30 | 24981.79 | 352.26 | 733.88 | 14.68 | 88.07 | 10.00 | 26862.14 | 378.78 | 789.12 | 15.78 | 94.69 |


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Happy belated birthday Sam! Thanks for being the person I could bother about random stuff. Let’s make the best of things when we get back to New York!
My most fondest memory of Sam was frehsmen year when she got locked out of her room and we tried to pick the lock and when it didn't work we went to Toms and got milkshake and fries!
Dearest Sam,
Happiest of Birthdays! I’m so glad we became friends. You have brought so much warmth into my life and I love spending time with you! Wish we could have been there to celebrate with you but nevertheless I hope you have the best day! Can’t wait to see you soon.
Loads of love,
Shambhavi ❤
Hey Sam!
Happy Birthday! I hope everything is well.
Thank you for being my friend for the past few years and counting. I felt very welcomed when everyone in the suite came to say hello to me during move-in in summer of 2017, and I’m glad we all opened up to each other. You are someone I look toward when I need to talk about life, crushes, and future. It’s a blessing to hangout and have all the fun (and wild) adventures with you. When everything clears up and we can see each other in person again, let’s go to Six Flags and go around the city for fun again!
Much love,
Vivian Huang
Happy Birthday Sam!!!
Hope you're having a good time and relaxing!
I miss all the fun we had as suitemates, whether we were playing videogames in your room at night or studying in Milstein. Your passion and dedication has always inspired me and I know you'll accomplish great things. Hopefully we'll get to hang out again soon!
Love,
Gauri
Happy Birthday Sam!
I cant believe college happened so quick but I am super happy to have had the chance to meet you.  See you in NYC post quarantine, love!
Kania
Happy Birthday Sam!! I hope you had an awesome day. Weve spent so Kanye years together now and have made so many memories over the years. Remember when you dropped your phone down the subway the first day of summer at Barnard? I remember how we were just waiting at the subway and trying to pass time while hoping your phone was OK. It's a really simple memory but it started off a really fun and wild summer and I remember just having lots of fun spending the summer going to smorgasburg and checking out NYC! Hopefully once this all over we can meet up again and explore wherever we end up!
Happy happy (belated) 23rd Sam!! I miss you lots and hope you’re doing well at home and can’t wait to see you again once all of this over. I miss the times when we would strategically plan to show up late together to Orchesis auditions and rehearsals and WIPs and dancing together. Now that it’s fall, I also think about your pasta salads that you never know the recipe to but still turn out really tasty. I hope the year ahead is filled with dance and pasta salads and all the most wonderful things because you absolutely deserve it. Miss and love you lots!!
Happy birthday Sam!


Display the activity of your token right from your website! Ethplorer offers a few modes of highly customizable widgets. Popular widget modes are Token Activity Chart (for the last month), Recent Transactions, Top Ethereum tokens activity.
Charts are based on Google Charts, so you can customize it as you like by referring to Google Charts instructions.
Below see different samples of widgets and customizations.
Note: the most simple way to get a widget for your token is 1) find your token in Ethplorer, and 2) use the widget link there.
Setup in options 'token' and 'title' parameters to address and name of your token.