Model View Controller for the tool, links the visual (view) with the functional (model) elements of the diagrams
More...
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GameObject | nodePrefab |
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GameObject | edgePrefab |
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GameObject | statePrefab |
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Transform | canvas |
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Transform | view |
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Transform | grid |
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RectTransform | gridTransform |
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Behavior | selectedType = Behavior.Mouse |
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ScrollRect | scrollRect |
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ModelController | model |
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GameObject | tempEdge |
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GameObject | tempState |
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bool | somethingSelected = false |
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GameObject | selectedObject |
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NodeInspector | nodeInspector |
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EdgeInspector | edgeInspector |
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GameObject | copiedNode |
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GameObject | tempNode |
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RectTransform | tab |
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Model View Controller for the tool, links the visual (view) with the functional (model) elements of the diagrams
◆ AddEdge()
| void ModelViewController.AddEdge |
( |
Vector2 |
pos | ) |
|
Adds a visual flow edge to the diagram
- Parameters
-
| pos | Starting position of the new flow edge |
◆ AddNode()
| void ModelViewController.AddNode |
( |
Behavior |
newbehavior, |
|
|
Vector2 |
pos |
|
) |
| |
Adds a visual node to the diagram
- Parameters
-
| newbehavior | The behavior of the new node |
| pos | The position of the new node |
◆ AddState()
| void ModelViewController.AddState |
( |
Vector2 |
pos | ) |
|
Adds a visual state edge to the diagram
- Parameters
-
| pos | Starting position of the new state edge |
◆ ChangeType()
| void ModelViewController.ChangeType |
( |
Behavior |
type | ) |
|
Changes the selected type of the MVC
- Parameters
-
◆ HideInspector()
| void ModelViewController.HideInspector |
( |
| ) |
|
Function to hide the node and endge inspectors
◆ isMouseNotOverChildren()
| bool ModelViewController.isMouseNotOverChildren |
( |
bool |
select | ) |
|
Checks if the mouse is not over one of the Nodes
- Parameters
-
| select | If the mouse is over a node, should that node be selected? |
- Returns
- True if mouse is not over any children, False if the mouse is over a child
◆ isMouseOverGrid()
| bool ModelViewController.isMouseOverGrid |
( |
| ) |
|
Checks if the mouse is over the transform of the grid
- Returns
- returns true if the mouse is over the grid and returns false if it is not
◆ SelectEdge()
| void ModelViewController.SelectEdge |
( |
GameObject |
selectedEdge | ) |
|
Tells the edge inspector to select the given object and tells the node inspector to deselect.
- Parameters
-
| selectedEdge | The selected edge |
The documentation for this class was generated from the following file:


Rotation
Drag direction
Tile counter
Hints
Delay time:
s
Difficulty
Easy
Normal
Hard
Status
Solved
Zoom in
Zoom out
Next


When you initialize a Masked input field that already contains a value, the value should immediately be masked by the control properly.
To use this test, please check the source code for this HTML file in order to see what the initial values for the fields were before they were modified by the Mask Control's constructor.


Clark County lawyers rated 89 judges for the Las Vegas Review-Journal's 2019 Judicial Performance Evaluation. The RJ partnered with the Women's Research Institute of Nevada and the UNLV Cannon Survey Center to process the results. Here's what the scores mean:
Retention score: This represents the percentage of respondents who answered "yes" when asked whether the judge should be retained on the bench.
Summary score: Researchers funneled the average answer for each of the survey's performance-related questions into evenly-weighted categories, then determined each category's average. "No opinion" responses were excluded. This across-the-board score was calculated using the category averages, resulting in the final weighted average — a score between 1 and 5.


CrimPapers
Articles published on 23 September 2017
On 23 September 2017, 12 new articles were published in 8 journals.
Cultural and Moral Dimensions of Sexual Aggression: the Role of Moral Disengagement in Men's Likelihood to Sexually Aggress
Abnormal Emotional Processing in Maltreated Children Diagnosed of Complex Posttraumatic Stress Disorder
Cultivating Youth Resilience to Prevent Bullying and Cyberbullying Victimization
Assessing the Links Between Punitive Parenting, Peer Deviance, Social Isolation and Bullying Perpetration and Victimization in South Korean Adolescents
Predicting Child Maltreatment: A Meta-Analysis of the Predictive Validity of Risk Assessment Instruments
Crime and Ethnic Diversity: Cross-Country Evidence by Sefa Awaworyi Churchill, Emmanuel Laryea
Evaluation of Operation Swordfish: A Near-Repeat Target-Hardening Strategy
What Slaveholders Think: How Contemporary Perpetrators Rationalize What They Do, By Austin Choi-Fitzpatrick. by Kristina Lugo
Using the Content Validity Index to Determine Content Validity of An Instrument Assessing Health Care Providers’ General Knowledge of Human Trafficking by Diana Kovacic
Disparate Reports of Stress and Family Relations Between Youth Who Commit Sexual Crimes and Their Caregivers by Jamie R. Yoder, Rebecca Dillard, Larraine Stehlik
Christophe Champod, Chris Lennard, Pierre Margot, and Milutin Stolilpovic (2016). F Ingerprints and Other R Idge S Kin I Mpressions .
The Meaning of Justified Subjectivism and Its Role in the Reconciliation of Recent Disagreements Over Forensic Probabilism


This sample uses a config file to setup individual namespaces that should be shown, with optional style properties.
Module 1 & Module 2 log output would ordinarily be shown, as well as output from a direct call to dlog with a supplied namespace ('InlineModule') but in this sample, the showOnly option of dlog is used to suppress all other calls except for 'module1', the namespace explicitly listed in the showOnly array.


Rosa von Milde, also Rosalie von Milde, née Rosa Agthe (25 June 1827 – 25 January 1906) was a German operatic soprano and voice teacher. She was a leading singer at the Weimar Court Theatre from 1848 to 1867, which flourished when Franz Liszt directed it. She created, among others, the roles of Elsa in Wagner's Lohengrin, conducted by Liszt in 1850, and Margiana in Der Barbier von Bagdad by Peter Cornelius in 1858.
Agthe was born on 25 June 1827 into a music-loving family in Weimar. Her father Friedrich Wilhelm Agthe a chamber musician, gave her piano lessons at a young age. When her singing talent was recognised, she took voice lessons for three years with the tenor Franz Götze (1814–1888). On 9 June 1845, she made her stage debut at the Weimarer Hoftheater (Weimar court theatre) as Amina in Bellini's La sonnambula.


Insecurity threatens chance to end DRC Ebola outbreak: WHO
The opportunity to quickly end the Ebola epidemic in the Democratic Republic of Congo could be lost due to violence in the country's east, the United Nations said on Friday.
DRC's President Felix Tshisekedi said earlier this month that the end of the year was a realistic target to stamp out an epidemic that has killed more than 2 000 people since it began in August 2018.
"We're so close to finishing," the World Health Organisation's emergency response chief, Mike Ryan, told reporters.
But Ryan said he was "alarmed...that the lack of access and a lack of security is now preventing us ending this outbreak."
"If we lose this opportunity, we're going to be dealing with that reality for months to come," he said.
The affected eastern DRC provinces of Ituri, North Kivu and South Kivu, suffer from chronic insecurity, with various militia groups operating in the region.
Insecurity has complicated the Ebola response since the outbreak began.
The use of two new vaccines has helped contain the virus, but WHO has repeatedly stressed that vaccines alone are not sufficient without reliable access to communities affected by the virus.
"We need security. We need an enabling operation that can provide access for our staff to the front line in a secure manner," Ryan said.


☰
Remote Controller
×
Dark Mode
Toggle Description
About
Generic Section 💻
These buttons affects the settings of your laptop
VOLUME UP
🔊
VOLUME DOWN
🔉
MUTE/UNMUTE
🔇
PAUSE/UNPAUSE
▶
SWITCH APP
🔀
MOVE CURSOR
🐁
Netflix specific-commands
These buttons are specific for Netflix
SKIP
🦘
MUTE
🔇
FULL SCREEN
📺
PAUSE/UNPAUSE
▶
REWIND
⏪
FAST FORWARD
⏩
Danger Zone ⚠
Shutdown


Labels inform users what information is being asked of them. They should be written in sentence case.
{% tip %} For usability reasons, if a label is connected with an input, thefor="[id]"
attribute should be filled in. This attribute references the input’s id="[value]"
value. This makes clicking the label automatically focus the proper input.
{% endtip %}
| Name | Size | Class | Example |
|---|---|---|---|
| {{ item.name }} | {{ item.size }} | {% if item.class == "N/A" %}{{ item.class }}{% else %}.{{ item.class }} {% endif %} |
When a label or input needs further explantation, text should be placed directly underneath it.
When you need to flag labels as required or optional, use the following flags. Use the full word “Required” or “Optional” for these flags instead of using asterisks. If a majority of a form’s inputs are required, it isn’t necessary to show that they’re required until after the form has been submitted with errors. It may be more appropriate to only mark the non-required fields as optional.
{% header "h3", "Optional" %}


\multiput(x coord,y coord)(delta x,delta y){number of copies}{object}
The \multiput command can be used when you are putting the same object in a regular pattern across a picture.
See also Environments, picture Return to LaTeX Table of Contents


Rock, Paper, Scissors
About Us
High Scores
Name
Next
Choose how many rounds you would like to play
3
5
7
Next
Rock
Paper
Scissors
Next Round
Rounds
Wins/Losses


What's your favorite cat?
Thank you for your time!!
Enter Your Name:
Enter Your Email:
Enter Your Age:
What's your favorite type of cat?
Select One
Persiano
Maine Coon
Siamese
Ragdoll
British Shorthair
Do you have any cat?
Yes
No
What do you like about cats?
Fur
Eyes
Character
Do you have any additional comments?


{% load staticfiles %}
Sustainability programs managers often make difficult decisions about where they should invest in incentives for smart grid technology adoption. Demand response devices like thermostats, smart plugs, and electric vehicle chargers can pay for themselves by nudging market demand to take advantage of surplus wind.
Windshed maps the best locations for smart grid technology adoption and incentive programs by showing where intelligent electricity timing can stimulate high impact economic incentives for wind energy. This has the added co-benefit of reducing CO2 and other greenhouse gasses.
To accomplish this feat, Windshed creates the network analytics necessary for leveraging electricity consumers as a "network bridge" between the legacy electricity grid and emerging wind power generation stations. As part of a Renewable Integration Response program, Windshed helps consumers make a difference while helping wind farm and electricity grid operators fight costly and wasteful network congestion with excess wind farm production.
Built for the BSR Hackathon 2013 by Gavin, Robin, Gabe, and Anna


A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.1.2) |
| Imports: | cli, dplyr (≥ 0.7), magrittr, pander, purrr, rlang, stats, stringr (≥ 1.1), knitr (≥ 1.2), tibble (≥ 0.6), tidyr (≥ 0.7), tidyselect (≥ 0.2.4) |
| Suggests: | extrafont, rmarkdown, testthat (≥ 2.0.0), withr, covr |
| Published: | 2018-06-07 |
| Author: | Amelia McNamara [aut], Eduardo Arino de la Rubia [aut], Hao Zhu [aut], Julia Lowndes [ctb], Shannon Ellis [aut], Elin Waring [cre], Michael Quinn [aut], Hope McLeod [ctb], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio, Inc. [cph] (Spark functions), Connor Kirkpatrick [ctb], Scott Brenstuhl [ctb], Patrick Schratz [ctb], lbusett [ctb], Mikko Korpela [ctb], Jennifer Thompson [ctb], Harris McGehee [ctb] |
| Maintainer: | Elin Waring <elin.waring at gmail.com> |
| BugReports: | https://github.com/ropenscilabs/skimr/issues |
| License: | GPL-3 |
| URL: | https://github.com/ropenscilabs/skimr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | skimr results |
| Reference manual: | skimr.pdf |
| Vignettes: |
Vignette Title Supporting additional objects Using Fonts Using Skimr |
| Package source: | skimr_1.0.3.tar.gz |
| Windows binaries: | r-devel: skimr_1.0.3.zip, r-release: skimr_1.0.3.zip, r-oldrel: skimr_1.0.3.zip |
| OS X binaries: | r-release: skimr_1.0.3.tgz, r-oldrel: skimr_1.0.3.tgz |
| Old sources: | skimr archive |
| Reverse imports: | codebook, groupedstats |
| Reverse suggests: | nlaR |
Please use the canonical form https://CRAN.R-project.org/package=skimr to link to this page.


| I l@ve RuBoard |
|
Attribute Name |
Description |
|---|---|
| name |
A string containing the group name. |
|
Attribute Name |
Description |
|---|---|
| name |
A string containing the group name. |
| comment |
A string containing a comment for the group. |
|
Attribute Name |
Description |
|---|---|
| name |
A string containing the group name. |
| comment |
A string containing a comment for the group. |
| group_id |
An integer value that contains the relative identifier of the global group. |
| attributes |
An integer that holds the attributes for the group. |
|
Attribute Name |
Description |
|---|---|
| comment |
A string containing a comment for the group. |
|
Attribute Name |
Description |
|---|---|
| attributes |
An integer that holds the attributes for the group. |
| I l@ve RuBoard |


(/vit/;"veet";"hvit"
)
vegaasen | programmer@ORF
javascript
javascript
javascript
javascript
javascript
javascript
javascript
javascript
javascript
!
..doesn't quite fit though..
Rollup
esbuild
on ESM
!..or aka.


I finally was able to complete Learns CLI gem project and submitted it online. For those of you who don’t know, in order to compelete this project, you needed to submit a video discussing your code and show some of the process of you coding and submit a blog discussing your code.
This is my first time doing this so I might struggle putting words together. Im going to discuss a couple of methods in this project.
The first part of the project was in the vegas-cli.rb file. The second was vegas-sports.rb file. Both under the lib directory and vegas_odds folder. Ill add my github link to this project at the end of this blog just so users can interact with it. Ill start to talk about the football method which is in the vegas-cli.rb file.
def football
football = VegasOdds::Sports.now[0]
puts "#{football.title} will be hosted on #{football.date} on Fox sports."
puts "#{football.away} vs. #{football.home}."
puts "Do you want to see the odds of this game?:"
input = gets.chomp
if input == "yes"
puts "#{football.away} #{football.odd} vs. #{football.home} #{football.odd_2}"
puts "Do you want to bet on this game?"
input = gets.chomp
if input == "yes"
bet
else input == "no"
football
end
else input == "no"
opening_statement
end
end
Off the bat it may seem confusing but it really isn’t. Ill explain to you what I did.
I assigned a local variable to the VegasOdds::Sports class and pushed the #now method with it. If you notice after the now method, there is a bracket with 0; [0]. In the now method, which is located in vegas-sports.rb file, contains three other methods with certain criteria of information. Basically the [0] is calling the first method which is the self.scrape_football method.
Now that its being called, I have the ability to display certain information from the scrape_football method. All that was left was figuring out what I wanted to be display for the user and how the user was going to interact with it.
I decided to use puts and variables that were the source of the information I needed. For ex, the football(is the local variable) and the .title method displays the title of the event, which is Superbowl 50.
input = gets.chomp
What is being done here is, the app is going to take the input the user enters in and depending on the answer of the user, the app will either display a certain information or pushes the user to start from the beginning of the app.
if input == "yes"
puts "#{football.away} #{football.odd} vs. #{football.home} #{football.odd_2}"
puts "Do you want to bet on this game?"
input = gets.chomp
if input == "yes"
bet
else input == "no"
football
end
else input == "no"
opening_statement
end
The if, elsif, and else statement is what allowed the app to display certain information depending on the input the user gave it. So in the scenario the user said yes, it will display the information it asked for and if the user said no, it will restart the app.
puts "Do you want to bet on this game?"
input = gets.chomp
if input == "yes"
bet
else input == "no"
football
end
Going deeper in this method. Inside the first if statement included another if statment. Essentially recreating more options for the user. When the user saw the odds that were being displayed for the game, it was ask another question:
puts "Do you want to bet on this game?"
Depending on the answer the user gave, if input was yes it would call the bet method, which basically allowed the user to bet on the game or person and if input was no, it would force the user to start from the beginning of this method; or in other worlds this particular sport.
I used the same concept with the other methods throughout this file. Even though it didnt seem too abstract for me, it did what I originally intended the project to do. I added too much puts but I didnt want the user to fill limited as to what he can do with this app.
This project was pretty fun. Took me a couple of days to complete due to certain codes which was not responding the way I wanted it to, but I learned a lot.


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Back to the SmokeStack
Summary:
A web application with a REST based HTTP interface to help smoke test the OpenStack. Architected to use Chef VPC Toolkit projects like openstack_vpc to spin up groups of servers in the cloud for smoke testing.
Features:
Rest API
Example: creating and running a smoke test via Curl.
Run the following example curl request: curl -k -u username:password -d "smoke_test[description]=blah" -d "smoke_test[branch_url]=lp:~dan-prince/nova/foo" http://localhost:3000/smoke_tests.xml curl -k -u admin:cloud -d "" http://localhost:3000/smoke_tests/22/run_job.xml
Coming soon:
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Simple SpriteSheet Example
A simple example of defining a
SpriteSheet
and playing it back using
Sprite
.


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Your Apartmate listing has been created and will appear in search results shortly. Your listing will remain active for 30 days.
You can view, edit, delete or deactivate your listing by clicking on the button below. If you have any questions, feedback or would just like to say hello, we would love to hear from you at<EMAIL_ADDRESS>View my listing
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Staff Focus: Donald Felch, CMSgt, USAF (Ret), JROTC Aerospace Science Instructor
“Three years ago, I found Oakland Mills Air Force JROTC [Junior Reserve Officer Training Corps] and discovered I could combine my love for developing young leaders with my military background and civilian education,” Chief Master Sergeant Donald Felch said. JROTC is an elective class open to HCPSS high school students throughout the county, with no commitment to join the military. The program teaches citizenship, leadership and life skills that translate into success after high school. Learn more about JROTC and its application process at tomorrow’s information session.
More News | Reminders
More News
Board Approves 2020–2021 Academic Calendar
The next school year will begin on Tuesday, August 25, 2020, for students and on Monday, August 17, 2020, for school staff. Winter break will be December 24–January 1, with schools reopening on Monday, January 4, 2021. Spring Break will run from April 2–9, 2021. The last day of school is scheduled for June 10, 2021.
Board Approves $100,000 Grant to Help Prevent School Violence
The U.S. Department of Justice and Bureau of Justice Assistance grant addresses multiple mental health training and implementation initiatives, including suicide prevention, crisis intervention teams and behavior threat assessment teams.
HCPSS Administrators Sweep National Elementary Principal Awards
Clemens Crossing Elementary School Principal Edward Cosentino was named a National Distinguished Principal. Connie Stahler was chosen as a National Outstanding Assistant Principal when she served in that role at Laurel Woods Elementary School last school year. She is now the school’s principal.
Boundary Review Update
The Board of Education continues to hold Public Work Sessions to work towards a final plan on boundary adjustments that could impact communities in any of the 74 HCPSS schools for the 2020–2021 school year. Upcoming Board Public Work Sessions are scheduled on November 12, 4 p.m.; November 13, 1 p.m.; November 14, 1 and 6:30 p.m.; and November 18, 6:30 p.m. The Board is scheduled to make a final decision on boundary adjustments for the 2020-2021 school year on November 21 at 7 p.m.
Reminders
Parent/Teacher Conferences
Parent/teacher conferences will be held Monday, November 25-Wednesday, November 27. Conferences can be scheduled online through HCPSS Connect from November 11-22.
AP Exam Registration
Online registration for AP exams in the College Board AP Classroom portal and online payment for exams is now closed. Paper registration forms and checks, payable to the school, must be submitted to your school’s AP Coordinator. College Board will assess a late fee of $40 for registration after November 15.
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| Leave ID | Employee Name | Application Date | Leave date | Duration | status | Action |
|---|---|---|---|---|---|---|
| {{row.leaveHistory.leaveId}} | {{row.employeeInfo.firstName + " " + row.employeeinfo.lastName}} | {{row.leaveHistory.creationTime | date : 'yyyy-MM-dd'}} | {{row.leave.startdate}} | {{row.leave.noOfDays}} | {{row.leaveHistory.leaveStatusCode | leaveStatus}} | |


The regrouping option implemented in this session is option
{% if treatment == "T1" %}
A.
That is, your assignment to a group of 3 is based on your preferences expressed during the ranking
stage as well as on the rankings submitted by the other participants.
{% else %}
B.
That is, your assignment to a group of 3 is decided by the computer and therefore is not based on the
rankings submitted in the previous stage.
{% endif %}
{% next_button %}
{% endblock %}


Ancient Keyboard
问题描述 :
To study the output written on the tape, we consider the device in discrete time steps. Suppose we are in time t. If no LED is on, no output is written on the tape. If there are i LEDs on, the ith letter of the English alphabet is written on the tape. For example, if three LEDs are on at a time step, a letter ‘C’ is written on the tape. This process repeats at every time step.
You are asked to write a program that simulates the ancient device.
输入:
The first line of each block contains one integer n (0 <= n <= 26). After this, there are n lines, each containing one capital alphabet letter, followed by two integers a and b, (0 <= a < b <= 1000). The capital letter shows the key pressed. The number a is the first time step at which the key is pressed and the number b is the second time step at which the key is pressed. During the interval a, a + 1, . . . , b -1, theLED of the key is on. You can assume that, in each test case, these letters are distinct.
输出:
样例输入:
2 2 X 2 6 Y 4 9 3 A 1 5 B 4 8 C 9 10
样例输出:
AABBAAA AAABAAAA
解题代码:
//* @author<EMAIL_ADDRESS>import java.util.Scanner; public class Main{ public static void main(String[] args) { Scanner in = new Scanner(System.in); int t = in.nextInt(); for(int i = 0; i< t; i++) { int n = in.nextInt(); int[] result = new int[1012]; int min = 1000; int max = 0; for(int j = 0; j< n; j++) { String x = in.next(); int begin = in.nextInt(); int end = in.nextInt(); for(int k = begin; k< end; k++) result[k]++; if(max< end) max = end; if(min>begin) min = begin; } for(int j = min; j< max; j++) { if(result[j]!=0) { char res = (char)(result[j]+'A'-1); System.out.print(res); } } System.out.println(); } } }
楼主放题时候没注意下？xxx定律见：
hdoj3782：http://acm.hdu.edu.cn/showproblem.php?pid=3782
博主的C++功底真是好
看来学好代数很重要啊
递归实现的代码部分
14句和18句的 wt[n - 1]是不是应该改为 wt[ n ] ?
写的好····· Pollard Rh
不需要输出，只要函数返回值正确就行
第二种解法如果数组有重复元素 就不正确
[…] 如果此题没有要求 相对位置不变，可以参考文章：http://www.acmerblog.com/interview-9-2427/ […]
能不能说一下tmp数组和solve都是干嘛的？
http://beeder.me 这个网站上有很多poj和hihoCoder的题解，质量不错，欢迎转载。
算法，他认识我，我不认识他，后来有人告诉我你写的这段代码就是XXX算法。。。
这个 。。。。不是动态规划吧？
请不要灌水，多谢！
很好，注释很详细啊


Provides a set of interfaces and support classes for managing payload file data. Implementing classes are in the 'allocated' subpackage which hold all file data in allocated Java objects.


"Piske", a robotic fish
.
Section 1: The "idea"
I've always been attracted by underwater life. This is the main reason because I've decided to design "Piske". "Piske" means fish in Sardinian dialect. For its characteristic shape, a monkfish has been chosen as a starting shape for design. When the “Piske” project will be complete, groups of low-cost “sensing” fishes will be free to move in oceans, lakes and ponds, directly recording a huge amount of climatic data.
Piske will be a mix of all the disciplines/assignments included in the Academy.
Every discipline/assignment is strictly related to the functionality of different parts of the fish, as detailed in the following figure. I.e. the input device represent the connection with the external world, the brain represent the processor (Fab Kit), the directional engines are servo motors (output devices) and so on.
Section 2: 3D model and mechanical aspect
The shell of Piske is composed of 5 differents parts.Four are represented in the above picture.
The fifth part (pectoral fins, propeller, servos and DC motor) have been detailed in the following.
The TOP part: it’s the container of the input device (light sensor), the first output device (LED emergency system), the second output device (Servos).
The CENTRAL part: it’s the container of the power supply (9V battery for DC motor and 4.5V battery for the processor/devices) and the Fab Kit
The BOTTOM part: it’s the container of the DC motor, shaft and propeller.
The shell design has been a big problem, especially because of the small dimension of the body.
An overview of the parts is described by means of the following picture.
TOP PART
CENTRAL PART
BOTTOM PART
Now, using a “clipping plane”, that provides a dynamic section of the object, all the internal structure is showed. Note the complexity of the internal structure!
The video showing the “clipping plane” is following.The internal spaces analysis is detailed in the following animation. Please note that this kind of analisys is a more efficient 3D transposition of the classical 2D analisys: you can check all the 2D sections in real time.
Dynamic section in Rhinoceros (clipping plane) from antonio burrai on Vimeo.
Several printing test have been made in order to find the final shape.
All the printing test have been performed using a
Zortrax M200, using white ABS.
Lots of them have been destroyed or damaged too much by successive drilling or cutting in order to fit all the components.
Please note that the first test (central picture) is very “full” of material, whilst at the end, the prototype is almost completely perforated.
See, with reference to the debugging stages, the following picture of the bottom part.
Last but not least, the propulsion system.
And the pectoral fins.
Section 3: Control board
The control board is a Fab Kit, with its ATMEGA328 processor.
Which parts of the FabKit I need for my project? I need:
Two pins for the power supply (from a 4.5V battery using the VCC, GND from the FTDI connection)
Two pins for the power supply of the: servos, light sensor and LEDs (VCC, GND)
Two pins for the servo control, namely the 9 and 10. Three pins for the LEDs control, namely the 11, 12 and 13. One pin for the light sensor control, namely the A0.One of the most USEFUL commands of Eagle is the following:
Just use the EYE to enlighten the trace you need. Using the processor pinout you can easily discover at which header connect your cable.
In order not to check traces every five minutes, I’ve prepared a sketch useful for fast controls.
One of the most annoying part has been the change of cables every time I needed to send a different code to the board: connect to Arduino IDE, upload sketch, connect to devices and power and so on...
One of the future improvements will be the positioning of a double FTDI connection.
I’ve soldered the header vertically. As it will be explained in the following sections, this will be a great mistake, in terms of occupied space. Just as a preview, the ultra-small available space is showed in the following picture.
This is not the final version, just an in progress version prior to the clash detection.
Section 4: Input device
As described at the beginning, the design depth of swimming is related to the quantity of light that a light sensor placed in the top of the head of the monkfish can receive.
On the basis of the “kind of water” in which “Piske” is swimming, several light penetration curves can be defined and implemented.
Please note that the light sensor can provide an input value ranging between 0 and 1023. For our purposes 1023 is the water surface (100% of sun light, no water interference) and 0% is the deep water darkness (0% of sun light, full water interference).
In this specific case, the following curves have been defined.
The design swimming depth is defined if 600<=H<=800 (green zone)
The alert zones are defined if 800
Section 5: Output device
On the basis of the light data, a visual reply is returned from the system: red, green or yellow light blink depending of the zone in which “Piske” is swimming.
The board containing the connections between output devices has been entirely designed starting from the following sketch (see also "Output device" page for further details).
Please note the presence of 0 (zero) ohm resistors.
Note also that servos are positioned symmetrically, so even the rotation data must be set symmetrical (with respect to the 0°-180° range).
Those are the rotation scheme:
One particular aspect is that used servos are very cheap, so they are not so precise. I.e. please note that the degree of rotation of the green (safe) position is not the same: this is related to the not identical behavior of the servos.
Design data (as reported in the following code) are:
Section 6: Code description
The final code has been attached (download link is following).
Section 7: License
For further details about License please refer to the following link.
Section 8: Download area
The following files are downloadable:
| Type of file |
Description |
Link (Type of file) |
| Fabrication files: vectors(s) / 3D model(s) |
Complete 3D model (Rhinoceros) |
(3DM) |
| Input device - Eagle file |
Board file |
(BRD) |
Input device - Eagle file |
Schematic file |
(SCH) |
Input device (edge cut) |
Image file |
(PNG) |
Input device (drill) |
Image file |
(PNG) |
Input device (traces) |
Image file |
(PNG) |
Output device - Eagle file |
Board file |
(BRD) |
Output device - Eagle file |
Schematic file |
(SCH) |
Output device (edge cut) |
Image file |
(PNG) |
Output device (drill) |
Image file |
(PNG) |
Output device (traces) |
Image file |
(PNG) |
(Working) Arduino Code |
"Piske" complete sketch |
(ZIPPED INO) |
Section 9: Final Video
An overview of the complete project is following.
Piske - Final Project from antonio burrai on Vimeo.


14 of the 17 co-authors of the Manifesto for Agile Software Development were interviewed in 2016-17 for a special podcast. The goal was to capture the intent of the authors and to recount the events of Snowbird, where the co-authors gathered and wrote what has become known as the Agile Manifesto.
What emerged from the interviews was much more. Ryan has unearthed reasons why the event was needed, the original vision of the authors, and key insights often overlooked or missed. Let's hear the real story behind and reflect on the rise pitfalls of Agile in industry…and what we can do to reclaim it.
Ryan has worked in many industries including Intellectual Property, Advertising, Science, Publishing, Manufacturing, ERP, Clinical Decision Support & Learning. Most recently Ryan joined Contino, a global leader in DevOps & Cloud enablement. Ryan has led multiple agile teams and facilitated agile transformations. Ryan serves as a coach and mentor to emerging agile professionals.
Ryan is a current member of the Harrisburg University corporate faculty, the Agile Uprising, and an independent lean development trainer. Based in Philadelphia, Ryan is an avid reader, host of the Agile Uprising podcast (which has reached over 70K listeners in over 100 countries) and loving father of three. He is incrementally becoming a great husband.
Change is often much slower than hoped for and more painful than anticipated. In the end, you may be left with feelings of frustration and dismay rather than the benefits you hoped for. How can we make change more successful? More enlivening?
Esther has distilled principles for successful transformation into Six Rules for Change. These principles address both the complexity of the organization and the complexity of the human experience. They provide touch-points to guide Change Artists as they support and enable change in their organizations.
Esther is a reknowned author, consultant, and speaker. Her insights regarding organizational culture help people to create positive, mutually receptive and reinforcing company environments in which teams have the capacity to achieve great things. She helps companies explore how best to maximize their capacity for achievement by eliminating wasted effort, politics, cynicism, and fear.
Esther is a pioneer of experiential training for technical people, co-creator of the Coaching Beyond the Team workshop, and co-leader with Don Gray of the legendary Problem-solving Leadership workshop (designed by Jerry Weinberg). Esther serves as an expert in organizational dynamics and is a leading thinker in bringing agility to companies, management, and teams.


Clone the repository with the --recursive option to automatically clone submodules:
git clone --recursive https://github.com/geosolutions-it/MapStore2.git
Install NodeJS >= 4.6.1 , if needed, from here.
Update npm to 3.x, using:
npm install -g npm@3
Start the demo locally:
npm cache clean
(this is useful to prevent errors on Windows during install)
npm install
npm start
Then point your preferred browser to http://localhost:8081.
Install latest Maven, if needed, from here (version 3.1.0 is required).
Build the deployable war:
./build.sh [version_identifier]
Where version_identifier is an optional identifier of the generated war that will be shown in the settings panel of the application.
Deploy the generated mapstore.war file (in web/target) to your favourite J2EE container (e.g. Tomcat).


PUL GitHub Issues
2022-10-07
#821 Create CSV Export
Creator:
Kevin Reiss
Created:
2022-10-07 16:27:42
Status:
Open
Events:
labeled
by Kevin Reiss at 2022-10-07 16:27:42.
#822 Create Rake Task to export CSV of Trip Data
Creator:
Kevin Reiss
Created:
2022-10-07 16:29:20
Status:
Open
Events:
labeled
by Kevin Reiss at 2022-10-07 16:29:20.
#267 fix uri-cid mapping for AC107 spreadsheet
Creator:
regineheberlein
Created:
2022-10-05 17:54:45
Status:
Open
(pull request )
#1989 Items in AEON with process_type: missing should have status label 'Unavailable'
Creator:
Christina Chortaria
Created:
2022-09-12 13:01:25
Status:
Open
Events:
assigned
by Max Kadel at 2022-10-07 12:13:37.
#2005 Unavailable aeon items
Creator:
Max Kadel
Created:
2022-10-07 20:00:11
Status:
Open
(pull request )
Comments:
Events:
convert_to_draft
by Kevin Reiss at 2022-10-07 20:37:36.
#543 Set ENV variables for schedule tasks
Creator:
Hector Correa
Created:
2022-10-07 13:46:03
Status:
Closed
(pull request )
Events:
deployed
by None at 2022-10-07 13:46:21.
deployed
by None at 2022-10-07 13:48:35.
deployed
by None at 2022-10-07 13:50:38.
deployed
by None at 2022-10-07 14:01:45.
deployed
by None at 2022-10-07 15:20:25.
head_ref_force_pushed
by Hector Correa at 2022-10-07 15:32:26.
ready_for_review
by Hector Correa at 2022-10-07 15:32:49.
renamed
by Hector Correa at 2022-10-07 15:33:17.
convert_to_draft
by Hector Correa at 2022-10-07 15:41:55.
head_ref_force_pushed
by Hector Correa at 2022-10-07 15:44:55.
ready_for_review
by Hector Correa at 2022-10-07 15:47:29.
review_requested
by Kate Lynch at 2022-10-07 15:50:32.
referenced
by Kate Lynch at 2022-10-07 15:51:07.
merged
by Kate Lynch at 2022-10-07 15:51:07.
closed
by Kate Lynch at 2022-10-07 15:51:07.
head_ref_deleted
by Kate Lynch at 2022-10-07 15:51:08.
#3 Document static approach
Creator:
Esmé Cowles
Created:
2022-10-07 16:57:50
Status:
Open
#4 Theming
Creator:
Esmé Cowles
Created:
2022-10-07 16:58:16
Status:
Open
#6 News posts
Creator:
Esmé Cowles
Created:
2022-10-07 18:47:54
Status:
Closed
(pull request )
Events:
referenced
by Cliff Wulfman at 2022-10-07 21:14:04.
merged
by Cliff Wulfman at 2022-10-07 21:14:04.
closed
by Cliff Wulfman at 2022-10-07 21:14:04.
#5 News
Creator:
Esmé Cowles
Created:
2022-10-07 16:58:38
Status:
Closed
Events:
closed
by Cliff Wulfman at 2022-10-07 21:14:05.
#2 Project site
Creator:
Esmé Cowles
Created:
2022-10-07 16:55:32
Status:
Closed
(pull request )
Events:
merged
by Cliff Wulfman at 2022-10-07 21:14:06.
closed
by Cliff Wulfman at 2022-10-07 21:14:06.
#1402 "Princeton Users: Log in to View" button is not showing up on "Princeon Only" Visibility "Ephemera Project" Scanned Resources
Creator:
Kim Leaman
Created:
2022-10-07 19:19:01
Status:
Open
Events:
labeled
by Kim Leaman at 2022-10-07 19:19:01.
labeled
by Kim Leaman at 2022-10-07 19:19:01.
#69 FY2022 submissions
Creator:
Chun Ly
Created:
2022-09-20 20:58:28
Status:
Closed
(pull request )
Events:
head_ref_deleted
by Chun Ly at 2022-10-07 19:33:57.
#61 Add system studies
Creator:
Chun Ly
Created:
2022-02-11 16:20:44
Status:
Closed
(pull request )
Events:
head_ref_deleted
by Chun Ly at 2022-10-07 19:34:00.
#5451 Remove "delete" button from role form
Creator:
hackartisan
Created:
2022-09-29 15:14:05
Status:
Open
Events:
assigned
by None at 2022-10-07 14:58:26.
#5438 Add click-through option to resources
Creator:
Trey Pendragon
Created:
2022-09-26 17:53:39
Status:
Open
Events:
assigned
by None at 2022-10-07 17:17:55.
#5461 Remove "update/delete" role form
Creator:
taylor-yamashita
Created:
2022-10-07 17:28:47
Status:
Open
(pull request )
Events:
renamed
by None at 2022-10-07 17:33:45.
review_requested
by None at 2022-10-07 18:23:10.
#5462 Move "add user" form to top of page
Creator:
taylor-yamashita
Created:
2022-10-07 17:32:53
Status:
Open
(pull request )
#5460 I5370 graphql error alerts
Creator:
Shaun Ellis
Created:
2022-10-06 21:03:14
Status:
Open
(pull request )
#5441 Rescue file not found error and test it
Creator:
m-ichelleliu
Created:
2022-09-26 20:24:04
Status:
Open
(pull request )
Events:
ready_for_review
by None at 2022-10-07 19:59:18.
#396 Create a new job to support data sync between OCLC and Alma
Creator:
Christina Chortaria
Created:
2022-09-23 16:42:30
Status:
Open
Events:
labeled
by Kevin Reiss at 2022-10-07 13:44:26.
#400 Department Name Filter
Creator:
Kevin Reiss
Created:
2022-10-07 14:21:16
Status:
Open
Events:
labeled
by Kevin Reiss at 2022-10-07 14:21:16.
#401 Phone Number Filter
Creator:
Kevin Reiss
Created:
2022-10-07 14:23:01
Status:
Open
Events:
labeled
by Kevin Reiss at 2022-10-07 14:23:01.
#399 Create Rake Task to Run Trip Report CSV Export
Creator:
Kevin Reiss
Created:
2022-10-07 14:15:33
Status:
Closed
Comments:
Events:
labeled
by Kevin Reiss at 2022-10-07 14:15:33.
closed
by Kevin Reiss at 2022-10-07 16:29:38.
#398 Create a CSV report of all trips during a given date range
Creator:
Kevin Reiss
Created:
2022-10-07 14:14:13
Status:
Closed
Comments:
Events:
labeled
by Kevin Reiss at 2022-10-07 14:14:28.
closed
by Kevin Reiss at 2022-10-07 16:29:47.
#17 Create a new Dev VM for Upgraded Princeton and Slavery Application
Creator:
Kevin Reiss
Created:
2022-10-07 16:07:55
Status:
Open
#18 Create a new Prod VM For Princeton and Slavery Upgrade
Creator:
Kevin Reiss
Created:
2022-10-07 16:08:56
Status:
Open
#19 Creating Space Administrators Macro for Confluence
Creator:
Vickie Karasic
Created:
2022-10-07 17:10:50
Status:
Open
Comments:
#3232 [Numismatics form] Two Keyword Search Boxes are confusing to users on Numismatics Search Page
Creator:
Kim Leaman
Created:
2022-10-07 13:57:32
Status:
Open
Events:
labeled
by Kim Leaman at 2022-10-07 13:57:32.
#3203 'no circ' Annex items should be able to go to any branch library or Firestone
Creator:
Christina Chortaria
Created:
2022-09-21 18:07:23
Status:
Open
Events:
assigned
by None at 2022-10-07 14:09:35.
#3233 Refactor request specs
Creator:
Max Kadel
Created:
2022-10-07 16:05:51
Status:
Open
Events:
labeled
by Max Kadel at 2022-10-07 16:05:51.
#3231 Use rails helpers for labels
Creator:
Max Kadel
Created:
2022-10-06 19:50:44
Status:
Closed
(pull request )
Events:
referenced
by Max Kadel at 2022-10-07 16:13:58.
merged
by Max Kadel at 2022-10-07 16:13:58.
closed
by Max Kadel at 2022-10-07 16:13:58.
head_ref_deleted
by Max Kadel at 2022-10-07 16:13:59.
#3216 Alma login form fields not associated with their labels
Creator:
Jane Sandberg
Created:
2022-09-29 14:49:35
Status:
Closed
Events:
closed
by Max Kadel at 2022-10-07 16:14:06.
#2961 Review WAF for bots errors
Creator:
Christina Chortaria
Created:
2022-04-20 14:55:06
Status:
Open
Comments:
#1 One record submissions will throw errors
Creator:
Kevin McElwee
Created:
2020-09-18 14:36:00
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:40:58.
#2 Create more intuitive names for input and output files
Creator:
Kevin McElwee
Created:
2020-09-18 16:10:22
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:41:44.
#3 Use argparse library to allow for CLI options, such as --no-scrape
Creator:
Chun Ly
Created:
2021-08-09 15:31:48
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:42:59.
#4 Add max_page_count as an input variable in Scraper
Creator:
Chun Ly
Created:
2021-08-09 17:34:23
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:43:26.
#5 Improve Poster module for more CLI options
Creator:
Chun Ly
Created:
2021-08-09 19:56:27
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:43:50.
#6 CI: Scheduled GitHub Actions failed after 60 days of inactivity
Creator:
Chun Ly
Created:
2022-01-06 14:16:37
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:44:14.
#7 Discrepancy between OSTI Data Explorer and DataSpace records
Creator:
Chun Ly
Created:
2022-02-16 20:02:31
Status:
Open
Events:
transferred
by Chun Ly at 2022-10-07 19:44:31.
#466 Explicitly deleting files as they change
Creator:
carolyncole
Created:
2022-10-06 18:32:49
Status:
Open
(pull request )
Events:
review_dismissed
by None at 2022-10-07 12:04:49.
head_ref_force_pushed
by None at 2022-10-07 12:04:49.
deployed
by None at 2022-10-07 12:28:33.
#406 Install the new Globus trust root by December 12
Creator:
Bess Sadler
Created:
2022-09-12 20:54:19
Status:
Closed
Events:
closed
by None at 2022-10-07 15:03:34.
#440 Change visibility for upload Globus collections to not visible
Creator:
carolyncole
Created:
2022-09-27 14:24:01
Status:
Open
Comments:
#3373 Update bibdata staging to ruby 3.1
Creator:
Christina Chortaria
Created:
2022-09-30 14:13:55
Status:
Open
(pull request )
Comments:
Events:
mentioned
by Christina Chortaria at 2022-10-06 23:02:16.
subscribed
by Christina Chortaria at 2022-10-06 23:02:16.
#3382 triggers an nginx restart when new config gets loaded
Creator:
Alicia Cozine
Created:
2022-10-06 23:41:04
Status:
Open
(pull request )
#3347 Create Playbook for EALAPPS
Creator:
Kevin Reiss
Created:
2022-09-21 22:52:48
Status:
Open
Comments:
#3377 Builds deploy authorized_keys from a template
Creator:
Alicia Cozine
Created:
2022-10-04 15:19:11
Status:
Open
(pull request )
#3383 disable waf on confluence staging
Creator:
Francis Kayiwa
Created:
2022-10-07 20:07:32
Status:
Closed
(pull request )
Events:
referenced
by Robert-Anthony Lee-Faison at 2022-10-07 20:14:14.
merged
by Robert-Anthony Lee-Faison at 2022-10-07 20:14:14.
closed
by Robert-Anthony Lee-Faison at 2022-10-07 20:14:14.
head_ref_deleted
by Robert-Anthony Lee-Faison at 2022-10-07 20:14:15.
#1173 Make thumbnail image a clickable link to repository
Creator:
taylor-yamashita
Created:
2022-09-30 16:33:44
Status:
Closed
(pull request )
Events:
head_ref_force_pushed
by None at 2022-10-07 14:08:49.
deployed
by None at 2022-10-07 15:45:21.
referenced
by None at 2022-10-07 15:52:19.
merged
by None at 2022-10-07 15:52:19.
closed
by None at 2022-10-07 15:52:19.
head_ref_deleted
by None at 2022-10-07 15:52:20.
#1167 Make repository library image a clickable link
Creator:
hackartisan
Created:
2022-09-27 14:11:45
Status:
Closed
Events:
closed
by None at 2022-10-07 15:52:20.
#1171 Make autocomplete text invisible in search bar
Creator:
hackartisan
Created:
2022-09-27 14:29:45
Status:
Open
Events:
assigned
by None at 2022-10-07 17:36:03.
#901 Display ranges for consecutively-numbered containers with AbIDs
Creator:
faithc
Created:
2021-09-14 16:08:27
Status:
Open
Events:
assigned
by None at 2022-10-07 19:58:28.
#77 update documentation
Creator:
Francis Kayiwa
Created:
2022-10-07 13:41:07
Status:
Closed
(pull request )
Events:
referenced
by None at 2022-10-07 15:03:33.
merged
by None at 2022-10-07 15:03:33.
closed
by None at 2022-10-07 15:03:33.
head_ref_deleted
by None at 2022-10-07 15:03:34.
#78 Added bus roadmap
Creator:
Kate Lynch
Created:
2022-10-07 14:42:59
Status:
Closed
(pull request )
Events:
referenced
by Bess Sadler at 2022-10-07 15:08:45.
merged
by Bess Sadler at 2022-10-07 15:08:45.
closed
by Bess Sadler at 2022-10-07 15:08:46.
head_ref_deleted
by Bess Sadler at 2022-10-07 15:08:46.
#76 Add 🚌 sprint to roadmaps document
Creator:
Kate Lynch
Created:
2022-10-03 13:55:42
Status:
Closed
Events:
closed
by Bess Sadler at 2022-10-07 15:08:46.


An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (<https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
| Version: | 0.1.5 |
| Imports: | sf, magrittr, jsonlite, httr, stringr |
| Published: | 2018-05-03 |
| Author: | Robin Lovelace [aut, cre], Martin Lucas-Smith [aut], Eric Krueger [ctb] |
| Maintainer: | Robin Lovelace <rob00x at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | cyclestreets results |
| Reference manual: | cyclestreets.pdf |
| Package source: | cyclestreets_0.1.5.tar.gz |
| Windows binaries: | r-devel: cyclestreets_0.1.5.zip, r-release: cyclestreets_0.1.5.zip, r-oldrel: cyclestreets_0.1.5.zip |
| OS X binaries: | r-release: cyclestreets_0.1.5.tgz, r-oldrel: cyclestreets_0.1.5.tgz |
Please use the canonical form https://CRAN.R-project.org/package=cyclestreets to link to this page.


2
1 Then Yahweh said this to Aaron and Moses,
2 "When the Israelites set up their tents, they are to set them up in areas that surround the sacred tent, but not close to it. The people of each tribe must set up their tents in a different area. Each tribe must erect in that area a flag that represents their tribe.
3-4 The people of the tribe of Judah must set up their tents on the east side of the sacred tent, close to their tribal flag. Nahshon son of Amminadab, will be the leader of the 74,600 men of the tribe of Judah.
5-6 The people of the tribe of Issachar will set up their tents beside Judah. Nethanel son of Zuar will be the leader of the 54,400 men of the tribe of Issachar.
7-8 The people of the tribe of Zebulun will set up their tents beside Issachar. Eliab son of Helon, will be the leader of the 57,400 men of the tribe of Zebulun.
9 So there will be 186,400 troops on the east side of the sacred tent. Whenever the Israelites move to a new location, those three tribes must go in front of the others.
10-11 The tribe of Reuben must set up their tents on the south side of the sacred tent, close to their tribal flag. Elizur son of Shedeur, will be the leader of the 46,500 men of the tribe of Reuben.
12-13 The people of the tribe of Simeon will set up their tents beside Reuben. Shelumiel son of Zurishaddai, will be the leader of the 59,300 men of the tribe of Simeon.
14-15 The people of the tribe of Gad will set up their tents beside Simeon. Eliasaph son of Deuel, will be the leader of the 45,650 men of the tribe of Gad.
16 So there will be 151,450 troops on the south side of the sacred tent. Those three tribes will follow the first group when the Israelites travel.
17 Behind that group will walk the descendants of Levi, who will carry the sacred tent. The Israelites will march in the same order that they always set up their tents. Each tribe will carry its own flag.
18-19 The tribe of Ephraim must set up their tents on the west side of the sacred tent, close to their tribal flag. Elishama son of Ammihud, will be the leader of the 40,500 men of the tribe of Ephraim.
20-21 The people of the tribe of Manasseh will set up their tents beside Ephraim. Gamaliel son of Pedahzur, will be the leader of the 32,200 men of the tribe of Manasseh.
22-23 The people of the tribe of Benjamin will set up their tents beside Manasseh. Abidan son of Gideoni, will be the leader of the 35,400 men of the tribe of Benjamin.
24 So there will be 108,100 troops on the west side of the sacred tent. Those three tribes will follow the second group, behind the descendants of Levi.
25-26 The tribe of Dan must set up their tents on the north side of the sacred tent, close to their tribal flag. Ahiezer son of Ammishaddai, will be the leader of the 62,700 men of the tribe of Dan.
27-28 The people of the tribe of Asher will set up their tents beside Dan. Pagiel son of Ocran, will be the leader of the 41,500 men of the tribe of Asher.
29-30 The people of the tribe of Napthali will set up their tents beside Asher. Ahira son of Enan, will be the leader of the 53,400 men of the tribe of Naphtali.
31 So there will be 157,600 troops on the north side of the sacred tent. Those three tribes will be last. They must carry their own flags when the Israelites travel."
32 So there were 603,550 Israelite men who were able to fight who were listed according to their families' ancestors.
33 But just as Yahweh had commanded, the names of the descendants of Levi were not included.
34 The Israelites did everything that Yahweh had told Moses. They set up their tents close to their tribal flags, and when they traveled to a new location, they walked with their own clans and family groups.


|
|
FYS 187-4 - Games and Computation
Syllabus |
This syllabus is not a contract. Rather, it is a first approximation of
course topics as planned at the beginning of the course. I reserve the right to
improve upon it as we progress.
- What is a game? Definitions, Overview of game history, Decisions
separating true games (e.g. Pig) from game-like activities (e.g. Chutes
and Ladders, Lotteries).
- How do we categorize games? Broad categorization by central
actions (e.g. sports, communication, logic, risk assessment, information
hiding/discernment).
- Why does game representation matter? Lessons from the mutilated
checkerboard problem and magic square tic-tac-toe
- Combinatorial games
- What is a game tree? Puzzles as single-player games, States,
Actions, Goals/Rewards, State spaces, cyclic/acyclic graphs,
computation tractability, static (a.k.a. heuristic) evaluation
- How do computers solve puzzles?
- What is a two-player game tree?
- How do computers solve two-player game trees? Minimax versus
Negamax, alpha-beta pruning
- Nim – how to win with binary numbers
- Chomp – game graph, dynamic programming
- Games of Chance
- Chance nodes and basic probability axioms
- Pig – hold at 20 turn Monte Carlo simulation, dynamic programming
- Pig – competing strategies
- Hog endgame analysis – algebra versus value iteration approaches
- Reinforcement learning – Approach N (simplified Blackjack)
- Games of Imperfect Information
- Games: Rock, Paper, Scissors; Minimum Unique Fingers
- Normal form versus extensive form representations
- Information sets
- Mixed strategies
- Regret-based learning, regret-matching
- Optional topics if time permits:
- Simple video game programming in Scratch/PyGame
- Interactive Fiction: the intersection of creative writing and
computer games


Polymerase Chain Reaction (PCR) is the most widely used
method for detection of infectious agents in clinical
samples by specific amplification of their nucleic acids.
However, PCR requires thermal cycling therefore an
instrument called thermal cycler which is only available in
molecular biology laboratories. Therefore PCR cannot be used
as a point of care diagnostic methods. In order to amplify
double stranded DNA the first step is the denaturation of
double strands by heating DNA to 95°C in the thermal cycler.
There is also loop mediated amplification technique (LAMP)
that can do DNA amplification without requiring thermal
cycling; however, it still requires a heating block since
isothermal amplification by LAMP is achieved at 65°C.
Our inspiration is to generate the path to the new
rapid, easy, low cost and accurate diagnostic tests.
As known, detection of infectious agents are diagnosed mostly by using PCR or rapid antigen-antibody interaction tests in clinical samples. But PCR is not practical since they require expensive laboratory instruments and experienced laboratory personnel. On the other hand, antigen tests are diagnostic tests that give results in a short time, however with less sensitivity due to lack of signal amplification ability like DNA or RNA templates.
Our target is to identify rapid easy point of care diagnostics without the need for any instrument and experienced laboratory personnel by combining antigen tests and nucleic acid amplification at room temperature which is REP Diagnostics. The inspiration behind our project is the need for an easy way to diagnose illnesses in order to help patients find treatment earlier.
Our method depends on cutting one strand of double stranded
DNA by a nicking enzyme and separation of strands from each
other by strand displacement activity of DNA polymerase.
For nucleic acid amplification, DNA strands are separated at
room temperature by using the nicking enzyme. When a nicking
enzyme breaks the sugar phosphate bond of one strand the
3’end of DNA functions like a primer where DNA polymerase
binds and starts elongating DNA on one strand. During this
DNA synthesis, the other strand is displaced separating the
two strands from each other. Amplification of double
stranded DNA is achieved by DNA synthesis on the displaced
strand using reverse primers. The new signal amplification
method can easily adapt to the nucleic acid sequence of
various infectious agents in clinical samples specifically.


Wed, Dec 22, 2021 - Sun, Dec 26, 2019
1 Adult
4 nights
Room Type2
Drone-delivered coffee included
Total 1100 SEK
Wed, Dec 22, 2021 - Sun, Dec 26, 2019
1 Adult
4 nights
Room Type2
Drone-delivered coffee included
Total 1100 SEK
Wed, Dec 22, 2021 - Sun, Dec 26, 2019
1 Adult
4 nights
Room Type2
Drone-delivered coffee included
Total 1100 SEK


public class Video
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
OPTFLOW_FARNEBACK_GAUSSIAN |
static int |
OPTFLOW_LK_GET_MIN_EIGENVALS |
static int |
OPTFLOW_USE_INITIAL_FLOW |
| Constructor and Description |
|---|
Video() |
| Modifier and Type | Method and Description |
|---|---|
static int |
buildOpticalFlowPyramid(Mat img,
java.util.List<Mat> pyramid,
Size winSize,
int maxLevel)
Constructs the image pyramid which can be passed to "calcOpticalFlowPyrLK".
|
static int |
buildOpticalFlowPyramid(Mat img,
java.util.List<Mat> pyramid,
Size winSize,
int maxLevel,
boolean withDerivatives,
int pyrBorder,
int derivBorder,
boolean tryReuseInputImage)
Constructs the image pyramid which can be passed to "calcOpticalFlowPyrLK".
|
static double |
calcGlobalOrientation(Mat orientation,
Mat mask,
Mat mhi,
double timestamp,
double duration)
Calculates a global motion orientation in a selected region.
|
static void |
calcMotionGradient(Mat mhi,
Mat mask,
Mat orientation,
double delta1,
double delta2)
Calculates a gradient orientation of a motion history image.
|
static void |
calcMotionGradient(Mat mhi,
Mat mask,
Mat orientation,
double delta1,
double delta2,
int apertureSize)
Calculates a gradient orientation of a motion history image.
|
static void |
calcOpticalFlowFarneback(Mat prev,
Mat next,
Mat flow,
double pyr_scale,
int levels,
int winsize,
int iterations,
int poly_n,
double poly_sigma,
int flags)
Computes a dense optical flow using the Gunnar Farneback's algorithm.
|
static void |
calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err)
Calculates an optical flow for a sparse feature set using the iterative
Lucas-Kanade method with pyramids.
|
static void |
calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel)
Calculates an optical flow for a sparse feature set using the iterative
Lucas-Kanade method with pyramids.
|
static void |
calcOpticalFlowPyrLK(Mat prevImg,
Mat nextImg,
MatOfPoint2f prevPts,
MatOfPoint2f nextPts,
MatOfByte status,
MatOfFloat err,
Size winSize,
int maxLevel,
TermCriteria criteria,
int flags,
double minEigThreshold)
Calculates an optical flow for a sparse feature set using the iterative
Lucas-Kanade method with pyramids.
|
static void |
calcOpticalFlowSF(Mat from,
Mat to,
Mat flow,
int layers,
int averaging_block_size,
int max_flow)
Calculate an optical flow using "SimpleFlow" algorithm.
|
static void |
calcOpticalFlowSF(Mat from,
Mat to,
Mat flow,
int layers,
int averaging_block_size,
int max_flow,
double sigma_dist,
double sigma_color,
int postprocess_window,
double sigma_dist_fix,
double sigma_color_fix,
double occ_thr,
int upscale_averaging_radius,
double upscale_sigma_dist,
double upscale_sigma_color,
double speed_up_thr)
Calculate an optical flow using "SimpleFlow" algorithm.
|
static RotatedRect |
CamShift(Mat probImage,
Rect window,
TermCriteria criteria)
Finds an object center, size, and orientation.
|
static Mat |
estimateRigidTransform(Mat src,
Mat dst,
boolean fullAffine)
Computes an optimal affine transformation between two 2D point sets.
|
static int |
meanShift(Mat probImage,
Rect window,
TermCriteria criteria)
Finds an object on a back projection image.
|
static void |
segmentMotion(Mat mhi,
Mat segmask,
MatOfRect boundingRects,
double timestamp,
double segThresh)
Splits a motion history image into a few parts corresponding to separate
independent motions (for example, left hand, right hand).
|
static void |
updateMotionHistory(Mat silhouette,
Mat mhi,
double timestamp,
double duration)
Updates the motion history image by a moving silhouette.
|
public static final int OPTFLOW_FARNEBACK_GAUSSIAN
public static final int OPTFLOW_LK_GET_MIN_EIGENVALS
public static final int OPTFLOW_USE_INITIAL_FLOW
public static int buildOpticalFlowPyramid(Mat img, java.util.List<Mat> pyramid, Size winSize, int maxLevel)
Constructs the image pyramid which can be passed to "calcOpticalFlowPyrLK".
img
- 8-bit input image.pyramid
- output pyramid.winSize
- window size of optical flow algorithm. Must be not less than
winSize
argument of "calcOpticalFlowPyrLK". It is needed to
calculate required padding for pyramid levels.maxLevel
- 0-based maximal pyramid level number.public static int buildOpticalFlowPyramid(Mat img, java.util.List<Mat> pyramid, Size winSize, int maxLevel, boolean withDerivatives, int pyrBorder, int derivBorder, boolean tryReuseInputImage)
Constructs the image pyramid which can be passed to "calcOpticalFlowPyrLK".
img
- 8-bit input image.pyramid
- output pyramid.winSize
- window size of optical flow algorithm. Must be not less than
winSize
argument of "calcOpticalFlowPyrLK". It is needed to
calculate required padding for pyramid levels.maxLevel
- 0-based maximal pyramid level number.withDerivatives
- set to precompute gradients for the every pyramid
level. If pyramid is constructed without the gradients then "calcOpticalFlowPyrLK"
will calculate them internally.pyrBorder
- the border mode for pyramid layers.derivBorder
- the border mode for gradients.tryReuseInputImage
- put ROI of input image into the pyramid if
possible. You can pass false
to force data copying.
:return: number of levels in constructed pyramid. Can be less than
maxLevel
.
public static double calcGlobalOrientation(Mat orientation, Mat mask, Mat mhi, double timestamp, double duration)
Calculates a global motion orientation in a selected region.
The function calculates an average motion direction in the selected region
and returns the angle between 0 degrees and 360 degrees. The average
direction is computed from the weighted orientation histogram, where a recent
motion has a larger weight and the motion occurred in the past has a smaller
weight, as recorded in mhi
.
orientation
- Motion gradient orientation image calculated by the
function "calcMotionGradient".mask
- Mask image. It may be a conjunction of a valid gradient mask,
also calculated by "calcMotionGradient", and the mask of a region whose
direction needs to be calculated.mhi
- Motion history image calculated by "updateMotionHistory".timestamp
- Timestamp passed to "updateMotionHistory".duration
- Maximum duration of a motion track in milliseconds, passed to
"updateMotionHistory".public static void calcMotionGradient(Mat mhi, Mat mask, Mat orientation, double delta1, double delta2)
Calculates a gradient orientation of a motion history image.
The function calculates a gradient orientation at each pixel (x, y) as:
orientation(x,y)= arctan((dmhi/dy)/(dmhi/dx))
In fact, "fastAtan2" and "phase" are used so that the computed angle is
measured in degrees and covers the full range 0..360. Also, the
mask
is filled to indicate pixels where the computed angle is
valid.
Note:
mhi
- Motion history single-channel floating-point image.mask
- Output mask image that has the type CV_8UC1
and the
same size as mhi
. Its non-zero elements mark pixels where the
motion gradient data is correct.orientation
- Output motion gradient orientation image that has the same
type and the same size as mhi
. Each pixel of the image is a
motion orientation, from 0 to 360 degrees.delta1
- Minimal (or maximal) allowed difference between
mhi
values within a pixel neighborhood.delta2
- Maximal (or minimal) allowed difference between
mhi
values within a pixel neighborhood. That is, the function
finds the minimum (m(x,y)) and maximum (M(x,y))
mhi
values over 3 x 3 neighborhood of each pixel and
marks the motion orientation at (x, y) as valid only if
min(delta1, delta2) <= M(x,y)-m(x,y) <= max(delta1, delta2).
public static void calcMotionGradient(Mat mhi, Mat mask, Mat orientation, double delta1, double delta2, int apertureSize)
Calculates a gradient orientation of a motion history image.
The function calculates a gradient orientation at each pixel (x, y) as:
orientation(x,y)= arctan((dmhi/dy)/(dmhi/dx))
In fact, "fastAtan2" and "phase" are used so that the computed angle is
measured in degrees and covers the full range 0..360. Also, the
mask
is filled to indicate pixels where the computed angle is
valid.
Note:
mhi
- Motion history single-channel floating-point image.mask
- Output mask image that has the type CV_8UC1
and the
same size as mhi
. Its non-zero elements mark pixels where the
motion gradient data is correct.orientation
- Output motion gradient orientation image that has the same
type and the same size as mhi
. Each pixel of the image is a
motion orientation, from 0 to 360 degrees.delta1
- Minimal (or maximal) allowed difference between
mhi
values within a pixel neighborhood.delta2
- Maximal (or minimal) allowed difference between
mhi
values within a pixel neighborhood. That is, the function
finds the minimum (m(x,y)) and maximum (M(x,y))
mhi
values over 3 x 3 neighborhood of each pixel and
marks the motion orientation at (x, y) as valid only if
min(delta1, delta2) <= M(x,y)-m(x,y) <= max(delta1, delta2).
apertureSize
- Aperture size of the "Sobel" operator.public static void calcOpticalFlowFarneback(Mat prev, Mat next, Mat flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
Computes a dense optical flow using the Gunnar Farneback's algorithm.
The function finds an optical flow for each prev
pixel using the
[Farneback2003] algorithm so that
prev(y,x) ~ next(y + flow(y,x)[1], x + flow(y,x)[0])
Note:
prev
- first 8-bit single-channel input image.next
- second input image of the same size and the same type as
prev
.flow
- computed flow image that has the same size as prev
and type CV_32FC2
.pyr_scale
- parameter, specifying the image scale (<1) to build pyramids
for each image; pyr_scale=0.5
means a classical pyramid, where
each next layer is twice smaller than the previous one.levels
- number of pyramid layers including the initial image;
levels=1
means that no extra layers are created and only the
original images are used.winsize
- averaging window size; larger values increase the algorithm
robustness to image noise and give more chances for fast motion detection,
but yield more blurred motion field.iterations
- number of iterations the algorithm does at each pyramid
level.poly_n
- size of the pixel neighborhood used to find polynomial
expansion in each pixel; larger values mean that the image will be
approximated with smoother surfaces, yielding more robust algorithm and more
blurred motion field, typically poly_n
=5 or 7.poly_sigma
- standard deviation of the Gaussian that is used to smooth
derivatives used as a basis for the polynomial expansion; for
poly_n=5
, you can set poly_sigma=1.1
, for
poly_n=7
, a good value would be poly_sigma=1.5
.flags
- operation flags that can be a combination of the following:
flow
as an
initial flow approximation.
winsize
for a Gaussian window
should be set to a larger value to achieve the same level of robustness.
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See [Bouguet00]. The function is parallelized with the TBB library.
Note:
prevImg
- first 8-bit input image or pyramid constructed by
"buildOpticalFlowPyramid".nextImg
- second input image or pyramid of the same size and the same
type as prevImg
.prevPts
- vector of 2D points for which the flow needs to be found;
point coordinates must be single-precision floating-point numbers.nextPts
- output vector of 2D points (with single-precision
floating-point coordinates) containing the calculated new positions of input
features in the second image; when OPTFLOW_USE_INITIAL_FLOW
flag
is passed, the vector must have the same size as in the input.status
- output status vector (of unsigned chars); each element of the
vector is set to 1 if the flow for the corresponding features has been found,
otherwise, it is set to 0.err
- output vector of errors; each element of the vector is set to an
error for the corresponding feature, type of the error measure can be set in
flags
parameter; if the flow wasn't found then the error is not
defined (use the status
parameter to find such cases).public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See [Bouguet00]. The function is parallelized with the TBB library.
Note:
prevImg
- first 8-bit input image or pyramid constructed by
"buildOpticalFlowPyramid".nextImg
- second input image or pyramid of the same size and the same
type as prevImg
.prevPts
- vector of 2D points for which the flow needs to be found;
point coordinates must be single-precision floating-point numbers.nextPts
- output vector of 2D points (with single-precision
floating-point coordinates) containing the calculated new positions of input
features in the second image; when OPTFLOW_USE_INITIAL_FLOW
flag
is passed, the vector must have the same size as in the input.status
- output status vector (of unsigned chars); each element of the
vector is set to 1 if the flow for the corresponding features has been found,
otherwise, it is set to 0.err
- output vector of errors; each element of the vector is set to an
error for the corresponding feature, type of the error measure can be set in
flags
parameter; if the flow wasn't found then the error is not
defined (use the status
parameter to find such cases).winSize
- size of the search window at each pyramid level.maxLevel
- 0-based maximal pyramid level number; if set to 0, pyramids
are not used (single level), if set to 1, two levels are used, and so on; if
pyramids are passed to input then algorithm will use as many levels as
pyramids have but no more than maxLevel
.public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with pyramids.
The function implements a sparse iterative version of the Lucas-Kanade optical flow in pyramids. See [Bouguet00]. The function is parallelized with the TBB library.
Note:
prevImg
- first 8-bit input image or pyramid constructed by
"buildOpticalFlowPyramid".nextImg
- second input image or pyramid of the same size and the same
type as prevImg
.prevPts
- vector of 2D points for which the flow needs to be found;
point coordinates must be single-precision floating-point numbers.nextPts
- output vector of 2D points (with single-precision
floating-point coordinates) containing the calculated new positions of input
features in the second image; when OPTFLOW_USE_INITIAL_FLOW
flag
is passed, the vector must have the same size as in the input.status
- output status vector (of unsigned chars); each element of the
vector is set to 1 if the flow for the corresponding features has been found,
otherwise, it is set to 0.err
- output vector of errors; each element of the vector is set to an
error for the corresponding feature, type of the error measure can be set in
flags
parameter; if the flow wasn't found then the error is not
defined (use the status
parameter to find such cases).winSize
- size of the search window at each pyramid level.maxLevel
- 0-based maximal pyramid level number; if set to 0, pyramids
are not used (single level), if set to 1, two levels are used, and so on; if
pyramids are passed to input then algorithm will use as many levels as
pyramids have but no more than maxLevel
.criteria
- parameter, specifying the termination criteria of the
iterative search algorithm (after the specified maximum number of iterations
criteria.maxCount
or when the search window moves by less than
criteria.epsilon
.flags
- operation flags:
nextPts
; if the flag is not set, then prevPts
is
copied to nextPts
and is considered the initial estimate.
minEigThreshold
description); if the flag is not
set, then L1 distance between patches around the original and a moved point,
divided by number of pixels in a window, is used as a error measure.
minEigThreshold
- the algorithm calculates the minimum eigen value of a
2x2 normal matrix of optical flow equations (this matrix is called a spatial
gradient matrix in [Bouguet00]), divided by number of pixels in a window; if
this value is less than minEigThreshold
, then a corresponding
feature is filtered out and its flow is not processed, so it allows to remove
bad points and get a performance boost.public static void calcOpticalFlowSF(Mat from, Mat to, Mat flow, int layers, int averaging_block_size, int max_flow)
Calculate an optical flow using "SimpleFlow" algorithm.
See [Tao2012]. And site of project - http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/.
Note:
from
- a fromto
- a toflow
- a flowlayers
- Number of layersaveraging_block_size
- Size of block through which we sum up when
calculate cost function for pixelmax_flow
- maximal flow that we search at each levelpublic static void calcOpticalFlowSF(Mat from, Mat to, Mat flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr)
Calculate an optical flow using "SimpleFlow" algorithm.
See [Tao2012]. And site of project - http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/.
Note:
from
- a fromto
- a toflow
- a flowlayers
- Number of layersaveraging_block_size
- Size of block through which we sum up when
calculate cost function for pixelmax_flow
- maximal flow that we search at each levelsigma_dist
- vector smooth spatial sigma parametersigma_color
- vector smooth color sigma parameterpostprocess_window
- window size for postprocess cross bilateral filtersigma_dist_fix
- spatial sigma for postprocess cross bilateralf filtersigma_color_fix
- color sigma for postprocess cross bilateral filterocc_thr
- threshold for detecting occlusionsupscale_averaging_radius
- a upscale_averaging_radiusupscale_sigma_dist
- spatial sigma for bilateral upscale operationupscale_sigma_color
- color sigma for bilateral upscale operationspeed_up_thr
- threshold to detect point with irregular flow - where
flow should be recalculated after upscalepublic static RotatedRect CamShift(Mat probImage, Rect window, TermCriteria criteria)
Finds an object center, size, and orientation.
The function implements the CAMSHIFT object tracking algorithm [Bradski98].
First, it finds an object center using "meanShift" and then adjusts the
window size and finds the optimal rotation. The function returns the rotated
rectangle structure that includes the object position, size, and orientation.
The next position of the search window can be obtained with RotatedRect.boundingRect()
.
See the OpenCV sample camshiftdemo.c
that tracks colored
objects.
Note:
probImage
- Back projection of the object histogram. See
"calcBackProject".window
- Initial search window.criteria
- Stop criteria for the underlying "meanShift".
:returns: (in old interfaces) Number of iterations CAMSHIFT took to converge
public static Mat estimateRigidTransform(Mat src, Mat dst, boolean fullAffine)
Computes an optimal affine transformation between two 2D point sets.
The function finds an optimal affine transform *[A|b]* (a 2 x 3
floating-point matrix) that approximates best the affine transformation
between:
src
image and finds the corresponding features
in dst
image. After that, the problem is reduced to the first
case.
In case of point sets, the problem is formulated as follows: you need to find a 2x2 matrix *A* and 2x1 vector *b* so that:
[A^*|b^*] = arg min _([A|b]) sum _i|dst[i] - A (src[i])^T - b| ^2
where src[i]
and dst[i]
are the i-th points in
src
and dst
, respectively
[A|b] can be either arbitrary (when fullAffine=true
) or
have a form of
a_11 a_12 b_1 -a_12 a_11 b_2
when fullAffine=false
.
src
- First input 2D point set stored in std.vector
or
Mat
, or an image stored in Mat
.dst
- Second input 2D point set of the same size and the same type as
A
, or another image.fullAffine
- If true, the function finds an optimal affine
transformation with no additional restrictions (6 degrees of freedom).
Otherwise, the class of transformations to choose from is limited to
combinations of translation, rotation, and uniform scaling (5 degrees of
freedom).Calib3d.findHomography(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, int, double, org.opencv.core.Mat)
,
Imgproc.getAffineTransform(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f)
,
Imgproc.getPerspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat)
public static int meanShift(Mat probImage, Rect window, TermCriteria criteria)
Finds an object on a back projection image.
The function implements the iterative object search algorithm. It takes the
input back projection of an object and the initial position. The mass center
in window
of the back projection image is computed and the
search window center shifts to the mass center. The procedure is repeated
until the specified number of iterations criteria.maxCount
is
done or until the window center shifts by less than criteria.epsilon
.
The algorithm is used inside "CamShift" and, unlike "CamShift", the search
window size or orientation do not change during the search. You can simply
pass the output of "calcBackProject" to this function. But better results can
be obtained if you pre-filter the back projection and remove the noise. For
example, you can do this by retrieving connected components with
"findContours", throwing away contours with small area ("contourArea"), and
rendering the remaining contours with "drawContours".
Note:
probImage
- Back projection of the object histogram. See
"calcBackProject" for details.window
- Initial search window.criteria
- Stop criteria for the iterative search algorithm.
:returns: Number of iterations CAMSHIFT took to converge.
public static void segmentMotion(Mat mhi, Mat segmask, MatOfRect boundingRects, double timestamp, double segThresh)
Splits a motion history image into a few parts corresponding to separate independent motions (for example, left hand, right hand).
The function finds all of the motion segments and marks them in
segmask
with individual values (1,2,...). It also computes a
vector with ROIs of motion connected components. After that the motion
direction for every component can be calculated with "calcGlobalOrientation"
using the extracted mask of the particular component.
mhi
- Motion history image.segmask
- Image where the found mask should be stored, single-channel,
32-bit floating-point.boundingRects
- Vector containing ROIs of motion connected components.timestamp
- Current time in milliseconds or other units.segThresh
- Segmentation threshold that is recommended to be equal to
the interval between motion history "steps" or greater.public static void updateMotionHistory(Mat silhouette, Mat mhi, double timestamp, double duration)
Updates the motion history image by a moving silhouette.
The function updates the motion history image as follows:
mhi(x,y)= timestamp if silhouette(x,y) != 0; 0 if silhouette(x,y) = 0 and mhi <(timestamp - duration); mhi(x,y) otherwise
That is, MHI pixels where the motion occurs are set to the current
timestamp
, while the pixels where the motion happened last time
a long time ago are cleared.
The function, together with "calcMotionGradient" and "calcGlobalOrientation",
implements a motion templates technique described in [Davis97] and
[Bradski00].
See also the OpenCV sample motempl.c
that demonstrates the use
of all the motion template functions.
silhouette
- Silhouette mask that has non-zero pixels where the motion
occurs.mhi
- Motion history image that is updated by the function
(single-channel, 32-bit floating-point).timestamp
- Current time in milliseconds or other units.duration
- Maximal duration of the motion track in the same units as
timestamp
.


{% extends 'base.html' %} {% block content %}
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Winners of UED's Architecture Competition Imagine the City of the Future
- Written by Dima Stouhi
- 10 days
The Second Hebei International Urban Planning and Design Competition – Xingdong New Area Urban Design International Master Competition organized by Urban Environment Design (UED) Magazine has announced its list of winners for this year's edition, with “City of the Future” as its theme.
Award-winning architecture firms took part of the competition, reflecting on Xingtai's transformative urbanism, and interpreting its ongoing development based on social, economic, demographic, ecological, and cultural factors.
The Chinese city of Xingtai is an important focal point between the Beijing, Tianjin, and Hebei. With the new developments in the Xingdong New District, it was important to explore and integrate its spatial and industrial advantages, and to construct an international platform for foreign developments and businesses. The competition was based on Xingtai City’s existing development conditions, combined with recent strategies, and futuristic visions.
Frist Prize: Cui Kai Team
Project: How to activate a new area by planning and design? Infrastructure-led development as one of the approaches.
Cui Kai Team proposed a regional "high-speed rail economy" as the driving energy of Xingdong’s “City of the Future”, based on its adjacency to the high-speed rail. The winning proposal is efficient, manageable, and could be executed within a short period of time. The firm integrated architecture with the landscapes and station, combining the city into a "cluster-oriented" spatial form. The implementation of “circulative services” placed the Xingtai East Station at the heart of the city, strategically combining trade, exhibitions, conferences, hotels, and residential infrastructures. The city was also placed in line with the regional planning of the “Jingbaoshi Development Axis”, creating a new drive for Xingdong’s economical development.
Second Prize (1): Yang Baojun Team
Project: How the city live with the environment? “Reverse” the thinking and nature as home.
The proposal of “Breeze City” by Yang Baojun Team was selected as one of two second prizes in the competition. The proposal was sustainable oriented, future oriented, and flexible in terms of development. The design focused on three “wind” corridors, introducing a new “breeze” into the new district. The proposal created its own garden, serving as backdrop for the Niuwei River. The water systems reaches west, linking Xingtai to Niu City, the Horticulture Expo, Central Ecological Park along with Xingdong High-speed rail. Workshops, art forums, gardening areas were implemented along the river, building an "ecological-artistic community".
Second Prize (2): UNStudio
Project: Which is the path towards future? "Blue-Green" for thriving.
UNStudio’s “Green Capital, Blue City” proposal re-imagines the concept of a “future city” by defining an economic boost that focuses on the physical, mental and social health of the city's residents. The studio proposed an interwoven “blue-green eco-engine" that cohabits humans, plants, and animals in a safe and clean environment. Their sustainable implementation was that of landscaping, water, architecture, and infrastructure.
With the development of the times, the requirements for cities have long been different. From the "low cost, rapidization" to the "re-innovation, quality" profound changes, the new era requires high-quality development in many aspects, emphasizing humanism, livability, characteristics, and ecology. Nowadays, China is in the process of informationization, intelligence, ecology and humanism. The cities in change are no longer rigidly attached to the traditional spatial form. Cities need more to return to people's needs, improve urban experience, improve city quality, and better promote future urban development. - UED Magazine
Other notable proposals include:
Thom Mayne's studio proposed the concept of “Xingdong New Area, City of a Hundred Parks”, a penetration of natural landscapes, connecting different communities and urban fabrics, as well as promoting a sustainable and well-balanced development.
Zaha Hadid Architects' proposed a new urban design model that places its focus on urbanization growth, economic and cultural evolution and changes in the built environment, yet reflects on traditional urban planning.
He Jingtang Team
He Jingtang proposed a planning concept based on the theme of“spreading culture, making future out of city”.His design is based on four characteristics, which are “Stargazing, watering, building, and gardening”.This is a plan that brings in harmony with nature and high quality of life.


You do the styles. Or you rip these demo styles and customize.
Tabbordion defaults to BEM style classes: panel, panel__state, panel__title, panel__content, panel__animator… and does the hard work of adding enough modifiers to make styling easy!
As you can see by looking at demo app.js or CSS files these are customizable and even removable.
If you want to read about Tabbordion's class naming logic more there is Advanced BEM with React components article over at CodePen.
This demo uses Font Awesome in Accordion styles and Normalize.css to unite rendering across browsers. Because default styles are not enforced you don't need to rip these away if you don't happen to like or otherwise need them.


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Match Play. Red trails white 6-8 to 11. How should Red play 42?
pips Red=136 White=123
(CorrectAnswer= 0/0, ErrorScore= 0)
With prime versus prime positions the normal approach is to come to the edge of your opponent’s prime. That would indicate the 4 should be played bar/21 and then the natural 2 is 9/7.
However, prior to the roll both players have a four-point prime and Red could play bar/23, 13/9 creating a five-point prime with the sixth (the 10-pt) slotted. Meanwhile his rear checker would be more or less out of the line of fire.
These advantages far outweigh coming to the edge of the prime. So much so that bar/21, 9/7 is worse than a triple blunder.
In backgammon general rules and principles will get you a long way but each position has specific features that can easily outweigh the general principles. So, take care!
However, prior to the roll both players have a four-point prime and Red could play bar/23, 13/9 creating a five-point prime with the sixth (the 10-pt) slotted. Meanwhile his rear checker would be more or less out of the line of fire.
These advantages far outweigh coming to the edge of the prime. So much so that bar/21, 9/7 is worse than a triple blunder.
In backgammon general rules and principles will get you a long way but each position has specific features that can easily outweigh the general principles. So, take care!
1. Cubeful 2-ply bar/23 13/9 Eq.: +0.428 0.610 0.136 0.006 - 0.390 0.148 0.006 2. Cubeful 2-ply bar/21 9/7 Eq.: +0.184 (-0.244) 0.551 0.121 0.004 - 0.449 0.165 0.003 3. Cubeful 0-ply bar/21 8/6 Eq.: +0.180 (-0.248) 0.548 0.132 0.003 - 0.452 0.182 0.007 4. Cubeful 0-ply bar/23 9/5 Eq.: +0.130 (-0.298) 0.529 0.128 0.004 - 0.471 0.165 0.004 5. Cubeful 0-ply bar/21 10/8 Eq.: +0.126 (-0.302) 0.535 0.117 0.003 - 0.465 0.172 0.004


Examples
This page contains example apps built with dash-bootstrap-components. Check out our GitHub page for more.
Graphs in Tabs
An example app showing how to ensure dash_core_components.Graph
components are sized correctly when used with dbc.Tabs
.


Up
Index of exceptions
M
MongoAdmin_failed
[
MongoAdmin_lwt
]
the exception will be raised if anything is wrong, with a string message
Mongo_failed
[
Mongo_lwt
]
the exception will be raised if anything is wrong, with a string message


{% extends 'base.html' %} {% load static %} {% load bootstrap4 %} {% block content %}
Do you own a bussiness or a Service in your neighborhood?


|
TensorRT
<IP_ADDRESS>
|
A tensor in a network definition. More...
#include <NvInfer.h>
Public Member Functions | |
| virtual void | setName (const char *name)=0 |
| Set the tensor name. More... | |
| virtual const char * | getName () const =0 |
| Get the tensor name. More... | |
| virtual void | setDimensions (Dims dimensions)=0 |
| Set the dimensions of a tensor. More... | |
| virtual Dims | getDimensions () const =0 |
| Get the dimensions of a tensor. More... | |
| virtual void | setType (DataType type)=0 |
| Set the data type of a tensor. More... | |
| virtual DataType | getType () const =0 |
| Get the data type of a tensor. More... | |
| virtual bool | setDynamicRange (float min, float max)=0 |
| Set dynamic range for the tensor. More... | |
| virtual TRT_DEPRECATED float | getDynamicRange () const =0 |
| Get dynamic range for the tensor. More... | |
| virtual bool | isNetworkInput () const =0 |
| Whether the tensor is a network input. | |
| virtual bool | isNetworkOutput () const =0 |
| Whether the tensor is a network output. | |
| virtual void | setBroadcastAcrossBatch (bool broadcastAcrossBatch)=0 |
| Set whether to enable broadcast of tensor across the batch. More... | |
| virtual bool | getBroadcastAcrossBatch () const =0 |
| Check if tensor is broadcast across the batch. More... | |
| virtual TensorLocation | getLocation () const =0 |
| Get the storage location of a tensor. More... | |
| virtual void | setLocation (TensorLocation location)=0 |
| Set the storage location of a tensor. More... | |
| virtual bool | dynamicRangeIsSet () const =0 |
| Query whether dynamic range is set. More... | |
| virtual void | resetDynamicRange ()=0 |
| Undo effect of setDynamicRange. | |
| virtual float | getDynamicRangeMin () const =0 |
| Get minimum of dynamic range. More... | |
| virtual float | getDynamicRangeMax () const =0 |
| Get maximum of dynamic range. More... | |
| virtual void | setAllowedFormats (TensorFormats formats)=0 |
| Set allowed formats for this tensor. By default all formats are allowed. Shape tensors (for which isShapeTensor() returns true) may only have row major linear format. More... | |
| virtual TensorFormats | getAllowedFormats () const =0 |
| Get a bitmask of TensorFormat values that the tensor supports. For a shape tensor, only row major linear format is allowed. More... | |
| virtual bool | isShapeTensor () const =0 |
| Whether the tensor is a shape tensor. More... | |
| virtual bool | isExecutionTensor () const =0 |
| Whether the tensor is an execution tensor. More... | |
A tensor in a network definition.
to remove a tensor from a network definition, use INetworkDefinition::removeTensor()
|
pure virtual |
Query whether dynamic range is set.
|
pure virtual |
Get a bitmask of TensorFormat values that the tensor supports. For a shape tensor, only row major linear format is allowed.
|
pure virtual |
Check if tensor is broadcast across the batch.
When a tensor is broadcast across a batch, it has the same value for every member in the batch. Memory is only allocated once for the single member. If the network is in explicit batch mode, this function returns true if the leading dimension is 1.
|
pure virtual |
Get the dimensions of a tensor.
|
pure virtual |
Get dynamic range for the tensor.
|
pure virtual |
Get maximum of dynamic range.
|
pure virtual |
Get minimum of dynamic range.
|
pure virtual |
|
pure virtual |
Get the tensor name.
|
pure virtual |
|
pure virtual |
Whether the tensor is an execution tensor.
If a tensor is an execution tensor and becomes an engine input or output, then ICudaEngine::isExecutionBinding will be true for that tensor.
Tensors are usually execution tensors. The exceptions are tensors used solely for shape calculations or whose contents not needed to compute the outputs.
A tensor with isShapeTensor() == false and isExecutionTensor() == false can still show up as an input to the engine if its dimensions are required. In that case, only its dimensions need to be set at runtime and a nullptr can be passed instead of a pointer to its contents.
|
pure virtual |
Whether the tensor is a shape tensor.
If a tensor is a shape tensor and becomes an engine input or output, then ICudaEngine::isShapeBinding will be true for that tensor.
It is possible for a tensor to be both a shape tensor and an execution tensor.
|
pure virtual |
Set allowed formats for this tensor. By default all formats are allowed. Shape tensors (for which isShapeTensor() returns true) may only have row major linear format.
| formats | A bitmask of TensorFormat values that are supported for this tensor. |
|
pure virtual |
Set whether to enable broadcast of tensor across the batch.
When a tensor is broadcast across a batch, it has the same value for every member in the batch. Memory is only allocated once for the single member.
This method is only valid for network input tensors, since the flags of layer output tensors are inferred based on layer inputs and parameters. If this state is modified for a tensor in the network, the states of all dependent tensors will be recomputed. If the tensor is for an explicit batch network, then this function does nothing.
| broadcastAcrossBatch | Whether to enable broadcast of tensor across the batch. |
|
pure virtual |
Set the dimensions of a tensor.
For a network input the name is assigned by the application. For a network output it is computed based on the layer parameters and the inputs to the layer. If a tensor size or a parameter is modified in the network, the dimensions of all dependent tensors will be recomputed.
This call is only legal for network input tensors, since the dimensions of layer output tensors are inferred based on layer inputs and parameters.
| dimensions | The dimensions of the tensor. |
|
pure virtual |
Set dynamic range for the tensor.
Currently, only symmetric ranges are supported. Therefore, the larger of the absolute values of the provided bounds is used.
Requires that min and max be finite, and min <= max.
|
pure virtual |
Set the storage location of a tensor.
| location | the location of tensor data |
Only network input tensors for storing sequence lengths for RNNv2 are supported. Using host storage for layers that do not support it will generate errors at build time.
|
pure virtual |
Set the tensor name.
For a network input, the name is assigned by the application. For tensors which are layer outputs, a default name is assigned consisting of the layer name followed by the index of the output in brackets.
This method copies the name string.
| name | The name. |
|
pure virtual |
Set the data type of a tensor.
| type | The data type of the tensor. |
The type is unchanged if the tensor is not a network input tensor, or marked as an output tensor or shape output tensor.