Policy
Creation of policies
An information security policy is a set of rules enacted by an organization to ensure that all users of networks or the IT structure within the organization's domain abide by the prescriptions regarding the security of data stored digitally within the boundaries the organization stretches its authority.
Maintenance of policies
It requires ongoing maintenance and continual improvement, which ensures that policies and procedures are kept up to date, resulting in better protection for your sensitive information.
Prevention
Preventing an incident requires careful analysis and planning. Information is an asset that requires protection commensurate with its value. Security measures must be taken to protect information from unauthorized modification, destruction, or disclosure whether accidental or intentional.
Avoidance
Risk avoidance involves taking specific actions to eliminate or significantly modify the process or activities that are the basis for the risk.
Incident response (forensics)
Incident response is an organized approach to addressing and managing the aftermath of a security breach or cyberattack, also known as an IT incident, computer incident or security incident. The goal is to handle the situation in a way that limits damage and reduces recovery time and costs.
Domain integration (physical, network, internet)
Physical Domain
The physical domain covers the development of physical changes, which includes growing in size and strength, as well as the development of both gross motor skills and fine motor skills.
Network Domain
A network domain is an administrative grouping of multiple private computer networks or hosts within the same infrastructure. Domains can be identified using a domain name; domains which need to be accessible from the public Internet can be assigned a globally unique name within the Domain Name System (DNS).
Internet Domain
An Internet domain is a collection of data describing a self-contained administrative and technical unit on the Internet, according to the principles of the DNS system. Global visibility of an Internet domain is provided for by the DNS service.
Core learning outcomes:
1. Describe the role of policy and procedure in the IAS Model.
2. Explain why policy and procedure are listed as countermeasures
3. Explain how poorly defined and executed policies can be a vulnerability.
4. Explain how an organization might develop a policy to defend against password vulnerabilities.
5. Explain why a password policy might need to be modified due to changing circumstances.
6. Explain why security policies must consider all aspects of an organization in order to be effective.
7. Give an example of how vulnerability in one area of an organization might enable a compromise in
another area.
(Example: weak physical security allows sniffer access to the LAN which allows a
password to be read from a POP3 packet. The password is used to gain access to a corporate server.
Login access to the server allows a root-kit to be applied and the bad guy has total access to the
server).
8. Describe a situation in which an incident would require a full forensic approach including evidence
gathering, full chain of custody auditing and expert analysis.
9. Explain how failure to follow good forensic procedures could make prosecution of an attacker
impossible.
Advanced learning outcomes:
1. Create a set of policies that implement a specified organizational objective.
2. Justify why a given policy is necessary to meet a specific organizational objective.
3. Update a set of policies to reflect a change in organizational objectives.


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main page — COMP 526 Applied Algorithmics
Unit 3: Efficient Sorting – The Power of Divide & Conquer
This unit covers
- mergesort and quicksort
- counting sort
- comparions lower bound for sorting
- adaptive sorting
- further divide & conquer algorithms
Learning outcomes
- Know principles and implementation of mergesort and quicksort.
- Know properties and performance characteristics of mergesort and quicksort.
- Know the comparison model and understand the corresponding lower bound.
- Understand counting sort and how it circumvents the comparison lower bound.
- Know ways how to exploit presorted inputs.
Material
Part I – The Basics
- Video 3-1 (2022-10-12):
§3.0 Sorting introduction
- Video 3-2 (2022-10-12):
§3.1 Mergesort
- Video 3-3 (2022-10-17):
§3.1 Mergesort analysis
- Video 3-4 (2022-10-17):
§3.2 Quicksort
- Video 3-5 (2022-10-19):
§3.3 Comparison-based lower bound
- Video 3-6 (2022-10-19):
§3.4 Integer sorting
Part II – Exploiting presortedness
- Video 3-7 (2022-10-19):
§3.5 Adaptive sorting & Peeksort
- Video 3-8 (2022-10-19):
§3.6 Python’s list sort & Powersort
Part III – Divide & conquer beyond sorting
- Video 3-9 (2022-10-24):
§3.7 Order statistics, quickselect, median of medians
- Video 3-10 (2022-10-24):
§3.8 Further divide & conquer algorithms
Further reading and sources
More elementary sorting methods are described in detail in Algorithms 4th ed.
The exposition of adaptive sorting is my own and based on several sources:
- Tim Peters’s description of CPython’s list.sort algorithm
- Munro, Wild: Nearly Optimal Mergesorts, ESA 2018
- Cawley Gelling, Nebel, Smith, Wild: Multiway Powersort, preprint
- Gaurav Sen: Tim sort explained,
Part 1,
Part 2,
Part 3,
Part 4.
Sequence of videos explaining Timsort’s other tricks (prior to adopting powersort’s merge rules).
The presentation of quickselect and the median-of-medians algorithm is inspired by material prepared for the module
The other material of Part III is based on


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Health Information Technology & Services is a group within the University of Michigan Medical School, also known as Michigan Medicine. They manage all of the departmental websites for each program within Michigan Medicine, e.g. Physiology, Biology, etc. Our group was tasked with creating guidelines for each of these websites, to ensure that prospective PhD students were able to use them easily, and to guarantee they had the right type of content on each website.
To accomplish our goal of creating guidelines for these departmental websites, our group used a wide variety of User Experience Research techniques, including:
After executing all of these research methods, we were able to gain a better understanding of our target population, and were able to write guidlines in regards to the content that should be present on each website and how that content should be displayed.
The video below is a summary of everything we did throughout this project, including methodologies used and the guidelines we created.
The first task our group decided to tackle was creating an interaction map of one of their existing websites. Since we had no prior experience using these websites and were in general unfamiliar with the subject matter, the interaction map gave us an opportunity to learn more about the content of each website, how that content is structured, and also gave us a glimpse into some of the basic usability issues that were currently present on the website. Below is an image of how the "education section" is mapped out on the Emergency Medicine website.
Once the Interaction Map was complete, we needed to learn more about the users of these websites. To accomplish this, we conducted 5 user interviews with current PhD students who have either directly used the websites our client manages, or similar websites that other universities offer. The goal of the interviews was to learn how each participant used these types of websites when they were applying, specifically, we focused on the type of content each participant used and how helpful that content was for them to make a decision to pursue or pass on a PhD program. Additionally we spent a lot of time with each participant talking about their frustrations when using these kinds of websites. Lastly, we asked for feedback regarding how the content of the websites better suite their needs.
By conducting user interviews we learned the following things:
To address these issues, our group recommended the following things:
After learning about our users through interviews, we conducted a comparative analysis to learn how our clients websites stack up against the competition. In order to conduct the analysis, we needed to first find one website that our client manages to use; in this case we chose the Molecular and Integrative Physiology website, as it had a lot of content on it compared to several of the others. We then selected the competitors we wished to compare our website against and categorized them based on how they were related to our product.
Each competitor and categorization can be seen below:
After all of our compettors were identified, we came up with criteria which gave us a metric to compare each competitor by. The criteria we came up with were a combination of the feedback we heard during interviews and our own personal experiences using these types of websites.``
The image below shows the criteria we used for each competitor, and how each of them compared to the Molecular and Integrative Physiology Website.
From the comparative analysis, we learned the following things:
After completing our comparative analysis we moved on to creating an online survey. The goal of the survey was to dig deeper into a lot of the responses we got during the user interview portion of the project. Specifically, we focused a lot of our questions around what criteria students used to make their decision about a program, what information sources they use to learn about a program, how a department website can influence their perception of a program, and how outdated information impacts them. Additionally, we asked participants to rank several of the criteria from these questions based on how important they were to them so we could ascertain what to prioritize in the project moving forward.
We sent our survey out to around 500 current PhD students and were able to get 34 responses in total. From these responses, we found the following things:
To address these findings, we recommended the following things be done:
After spending months learning about our users and what is important to them, we decided to shift our focus to conducting a heuristic evaluation of the molecular and integrative physiology website. The goal of are heuristic evaluation was to identify basic usability issues that can be seen throughout the website. We used Jakob Nielsen's 10 heuristics and modified them to better fit the goals and the scope of the project. For each heuristic, we added between 3 and 7 criteria that enabled us to evaluate the website in a “yes” or “no” manner.
A breakdown of each heuristic and the criteria can be seen below.
From our evaluation, we learned the following things:
To address these issues, we recommended taking the following actions:
The final assignment for this project was to perform a usability test on the Molecular and Integrative Physiology Website. The goal of doing a usability test was to get a firsthand look at how real users would actually use this website, and learn what worked well and what could be improved. In order to run a usability test, we needed to create a script that contained a series of tasks for our users to complete; we ended up modeling the majority of our tasks from the experiences that users shared with us throughout this project and how they told us they used the website when they were applying for PhD programs. Once the script was created, we recruited users for the testing. We were able to find 4 current PhD students that had never interacted with the MIP website, making them the ideal candidates since we wanted the testing to be based on their first experience.
Each testing session had a moderator and a minimum of 2 note-takers who were observing the testing through screensharing on bluejeans. Note-takers were tasked with keeping track of the following information:
After the usability testing was complete, we learned the following things:
To address these issues, our group proposed the following solutions:
After conducting a semesters worth of research for Health Information Technology & Services, we looked back at everything we learned and used that knowledge to create a series of guidelines which can be applied to each website to ensure they have the right content and structure for their users.
Our guidelines included the following things:


--- title: "Feature Columns" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Feature Columns} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} type: docs repo: https://github.com/rstudio/tfestimators menu: main: name: "Feature Columns" identifier: "tfestimators-feature-columns" parent: "tfestimators-using-tfestimators" weight: 40 ---
Feature columns are used to specify how Tensors received from the input function should be combined and transformed before entering the model. A feature column can be a plain mapping to some input column (e.g. column_numeric()
for a column of numerical data), or a transformation of other feature columns (e.g. column_crossed()
to define a new column as the cross of two other feature columns).
The following feature columns are available:
| Feature Column | Description |
|---|---|
column_categorical_with_vocabulary_list() |
Construct a Categorical Column with In-Memory Vocabulary. |
column_categorical_with_vocabulary_file() |
Construct a Categorical Column with a Vocabulary File. |
column_categorical_with_identity() |
Construct a Categorical Column that Returns Identity Values. |
column_categorical_with_hash_bucket() |
Represents Sparse Feature where IDs are set by Hashing. |
column_categorical_weighted() |
Construct a Weighted Categorical Column. |
column_indicator() |
Represents Multi-Hot Representation of Given Categorical Column. |
column_numeric() |
Construct a Real-Valued Column. |
column_embedding() |
Construct a Dense Column. |
column_crossed() |
Construct a Crossed Column. |
column_bucketized() |
Construct a Bucketized Column. |
Some typical mappings of R data types to feature column are:
| Data Type | Feature Column |
|---|---|
| Numeric | column_numeric() |
| Factor | column_categorical_with_identity() |
| Character | column_categorical_with_hash_bucket() |
We’ll use the flights dataset from the nycflights13 package to explore how feature columns can be constructed. The flights dataset records airline on-time data for all flights departing NYC in 2013.
> print(flights)
# A tibble: 336,776 x 19
year month day dep_time sched_dep_time dep_delay arr_time sched_arr_time arr_delay carrier flight tailnum origin dest air_time
<int> <int> <int> <int> <int> <dbl> <int> <int> <dbl> <chr> <int> <chr> <chr> <chr> <dbl>
1 2013 1 1 517 515 2 830 819 11 UA 1545 N14228 EWR IAH 227
2 2013 1 1 533 529 4 850 830 20 UA 1714 N24211 LGA IAH 227
3 2013 1 1 542 540 2 923 850 33 AA 1141 N619AA JFK MIA 160
# ... with 336,766 more rows, and 4 more variables: distance <dbl>, hour <dbl>, minute <dbl>, time_hour <dttm>
For example, we can define numeric columns based on the dep_time
and dep_delay
variables:
You can also define multiple feature columns at once.
Often, you will find that you want to generate a number of feature column definitions based on some pattern existing in the names of your data set. tfestimators uses the tidyselect package to make it easy to define feature columns, similar to what you might be familiar with in the dplyr
package. You can use the names =
argument of feature_columns()
function to define a context from which variable names will be selected.
For example, we can use the ends_with()
helper to assert that all columns ending with "time"
are numeric columns as follows:
library(nycflights13)
cols <- feature_columns(names = flights,
column_numeric(ends_with("time"))
)
The names
parameter can either be a character vector with the names as-is, or any named R object.
If the code you are using to compose columns is more complicated, or if you need to save references to columns for use in column embeddings you can also establish a scope for given set of column names using the with_columns()
function:
You can also use an alternate syntax of the form (pattern) ~ (column)
, which can add clarity when longer pattern rules are used, as it separates the matching rule from the column definition:
Available pattern matching operators include:
| Operator | Description |
|---|---|
starts_with() |
Starts with a prefix |
ends_with() |
Ends with a suffix |
contains() |
Contains a literal string |
matches() |
Matches a regular expression |
one_of() |
Included in character vector |
everything() |
All columns |
See help("select_helpers", package = "tidyselect")
for full information on the set of
helpers made available by the tidyselect package.


There are no dangerous animals.
The streets are quite, hardly any pollution, food and water is
clean.
Don’t be afraid to contact police in Finland. They are very trustworthy and there is minimal corruption in police force.
So in case of accident or even small crime, it’s better to call the police (112)
Punkki!
Well actually there is one thing to aware.
The most dangerous animal is the tick (”Punkki”).
Small, blood sucking insect that carries for example the Lyme disease.
It appears during the summer and usually lives at the ground in the vegetation.
You should wear long pants while walking in the forest and longer grass.
Make sure to check your body at evening in case it has bitten.
But during winter your safe.
How lucky we are to have whole land frozen half the year!
Finns might enjoy silence but most of them really like to help foreigners in need.
Finns talk surprisingly good English.
So don’t hesitate to ask for help.
Yep, It's freezing out there. Or wet.
Probably both During winter the temperature might go low as -30C.
The key is to wear clothes in many layers
(in Finnish: ’kerrospukeutuminen’).


Quantize image colors by mapping all pixels to the nearest color in RGB space, respectively, given an arbitrary palette.
image_quantmap(file, pal, k = 100, plot = FALSE, show_pal = TRUE, labels = TRUE, label_size = 1, label_color = "#000000", keep_asp = TRUE)
| file | if character, file path or URL to an image. You can also provide an RGB array from an already loaded image file. |
|---|---|
| pal | character, vector of hex colors, the color palette used to quantize the image colors. |
| k | integer, the number of k-means cluster centers to consider in the image. See details. |
| plot | logical, plot the palette with quantized image reference thumbnail. If |
| show_pal | logical, show the palette like with |
| labels | logical, show hex color values in plot. |
| label_size | numeric, label size in plot. |
| label_color | text label color. |
| keep_asp | logical, adjust rectangles in plot to use the image aspect ratio. |
an RGB array with values ranging from 0 to 1
The palette pal
does not need to be related to the image colors. Each pixel will be assigned to whichever color in pal
that it is nearest to in RGB space.
This function returns the new RGB array. You can plot a preview just like with image_pal
using plot = TRUE
.
The number of k-means centers k
is for binning image colors prior to mapping the palette pal
.
It is limited by the number of unique colors in the image. Larger k
provides more binned distances between image colors and palette colors,
but takes longer to run.
x <- system.file("blue-yellow.jpg", package = "imgpalr") pal <- c("#191970", "#63B8FF", "#FFFF00") a <- image_quantmap(x, pal, k = 7, plot = TRUE)str(a)#> num [1:317, 1:400, 1:3] 0.098 0.098 0.098 0.098 0.098 ...


This Day in History: Dec. 9
by Fox NewsOn this day, Dec. 9 …
1965: “A Charlie Brown Christmas,” the first animated TV special featuring characters from the “Peanuts” comic strip by Charles M. Schulz, premieres on CBS.
Also on this day:
- 1608: English poet John Milton is born in London.
- 1935: The Downtown Athletic Club of New York honors college football player Jay Berwanger of the University of Chicago with the DAC Trophy, which would later become known as the Heisman Trophy.
- 1958: The anti-communist John Birch Society is formed in Indianapolis.
- 1962: The Petrified Forest in Arizona is designated a national park.
- 1975: President Gerald R. Ford signs a $2.3 billion seasonal loan-authorization that officials of New York City and State say will prevent a city default.
- 1984: The five-day-old hijacking of a Kuwaiti jetliner that claims the lives of two Americans ends as Iranian security men seize control of the plane, which is parked at Tehran airport.
- 1987: The first Palestinian intefadeh, or uprising, begins as riots break out in Gaza and spread to the West Bank, triggering a strong Israeli response.
- 1990: Solidarity founder Lech Walesa wins Poland’s presidential runoff by a landslide.
- 1992: Britain’s Prince Charles and Princess Diana announce their separation. (The couple’s divorce would become final in Aug. 1996.)
- 2000: The U-S Supreme Court orders a temporary halt in the Florida vote count on which Al Gore pins his best hopes of winning the White House.
- 2008: Illinois Gov. Rod Blagojevich is arrested after prosecutors say he is caught on wiretaps scheming to sell Barack Obama’s vacant Senate seat for cash or a plum job for himself in the new administration. (Blagojevich would be convicted of wide-ranging corruption in 2011 and sentenced to 14 years in prison.)
- 2008: NBC announces that “Tonight Show” host Jay Leno would be moving to prime time.


Man found seriously injured at Tonypandy train station
He was found in the early hours of the morning
by Cathy OwenA man was found with serious injuries in the subway of a Welsh train station.
Police were called at 1am on Friday after the injured man was found at Tonypandy railway station.
A spokesman said he had been taken to hospital with serious injuries.
The subway is currently sealed off as police investigate.
Rail passengers using the station this morning are being told they need to use the Trealaw entrance.
One rail passenger said there was a "lot of police activity" at the station this morning.
Anyone with information should contact police on 101 quoting occurrence<PHONE_NUMBER>.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing.
Throughout yor project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies.
They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live.
This iterative process allows for changes as business requirements evolve.
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WikiLeaks<EMAIL_ADDRESS>leaked emails, 2009 mail archive
This message is part of a particular mailbox provided at WikiLeaks
and it should be discussed here.
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Pine-wood Racing rules
TO: Jerry, PHX-- Greetings! I made this posting to the Volksfront Forum
concerning holding pine-wood racing events. I'll also be mailing a booklet
to Jesse. Please let me know if you want this booklet too. The booklet
delves into the various age brackets & the ammount of participation that the
adults will have to put into the car building process. We'll have a racing
catagory for adults too. The cars that are built from scratch can also be
judged for appearence( pre-formed block kits would only be judged for the
younger kids). Building a good race track will cost around $150.00. To start
out we can make a simpler track for far cheaper.
Some organizations who have been at it a long time have complicated rules.
If we just decide to have "Stock Car" races, the rules are more simple.
I would say that car kits that come with nail type axles, should be avoided
& they require too much prep. Kits that come with rod type axles come
cheaper & that type of axle only requires polishing
We can get car kits for under $4.00. There is a guy in Peoria Az who sells
kits for $3.45, or $3.25 each for a dozen.
I was thinking that the Comrades in California,Nevada & Arizona could come
together, & form a SouthWestern Regional Division.
Here is a link that delves into basic Pine-wood Car Racing Rules:
http://wirlracing.com/
The rookie rules would be a good point of departure for us...
In these dark days we need to uphold the twin values of our people
CRAFTSMANSHIP & SPORTSMANSHIP!!!!!!!
I'd like to See Brother Fritz & Sister V. Clark get involved,due to their
technical backgrounds...
Best Regards, Bob
Volksfront International > General Pro-White Categories > General
Discussion
St Louis Conference/Racing Rules
#1 Today, 05:22 AM
VFsupporter
Member
member Join Date: Feb 2005
Location: California
Posts: 40
St Louis Conference/Racing Rules
--------------------------------------------------------------------------------
Greetings Comrades! Last week I spoke with the Organizer of the St Louis
Victory Conference. I'm going to mail him two car kits & a booklet that
delves into crafting really fast pine-wood racers. Although this is supposed
to be mostly for the kids, I can see this turning into a mania for all of
those involved.
Here are a few Commercial websites:
http://www.pinewoodextreme.com/
http://www.hobbylinc.com/htm/pin/pinp369.htm
There are some sample rules on the www. We just have to find a SIMPLE set
that works for us.
The ladies, or course can make up their own Powder Puff rules.
This sport is great for creating pride in one's work. The races are a blast
as well....
Any & all suggestions are most welcome!
VFsupporter
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Hi, I'm Michelle.
I provide career advice for tech industry workers, offer negotiation coaching, and bootcamp referrals.
I look forward to working with you!
Larissa Muramoto
Software Engineer
Six months into my first job out of Hackbright Academy, a coding bootcamp, I felt I had to quit. When my team's senior developer left, I filled her role but my extra work and effort seemed to go unrecognized. Frustrated, I asked Michelle for advice. She helped me analyze the situation, laid out some paths I could take, and gave me advice for each one - whether I chose to start the interview process, switch teams internally, or just extend an olive branch to my boss. Following her tips, I landed a high-profile internal opportunity and was able to mend my relationship with my boss. I won't be thinking of quitting anytime in the near future. Thanks, Michelle!
After a decade as a QA engineer in San Francisco, I made a meaningful transition to establish the the Career Services program at Hackbright Academy, a developer bootcamp for women. Later, I worked with senior I specialize in helping diverse candidates understand the financial risks and rewards of working at a startup or enlisting in a developer bootcamp.
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!
Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!


@(message: String) @main("Welcome to Turnout") {
Full width, drag and drop calendar.
remove after drop


Lake County Marathon
Zion to Highland Park IL/USA
Race Winners
(20 runnings)
30 Apr
2000
2:33:33
3:04:56
25 Apr
1999
2:29:42
3:06:47
26 Apr
1998
2:32:15
3:00:10
27 Apr
1997
2:32:42
3:03:23
28 Apr
1996
2:29:37
3:09:33
30 Apr 1995
2:28:02
2:51:11
01 May
1994
2:36:23
3:03:38
25 Apr
1993
2:27:45
3:02:16
26 Apr
1992
2:25:53
2:53:52
28 Apr
1991
2:25:28
3:08:59
29 Apr
1990
2:33:15
2:50:35
30 Apr
1989
2:23:55
3:11:05
24 Apr
1988
2:32:05
3:13:40
26 Apr
1987
2:29:06
3:00:51
27 Apr
1986
2:31:40
3:02:35
28 Apr
1985
2:20:15
3:07:13
29 Apr
1984
2:21:47
2:59:52
24 Apr
1983
2:16:55
3:01:31
25 Apr
1982
2:24:23
2:52:51
26 Apr
1981
2:23:28
3:13:24
Notes: 1981 was the inaugural year.
Chris Toepfer-3
Patricia Soumoff (WI/USA)
Dan Gray (IL/USA)
Christine Cotey (WI/USA)
Chris Toepfer-2
Jacqueline Haynes (USA)
Peter Sell (WI/USA)
Debby Daehler (CO/USA)
Chris Toepfer (IL/USA)
Jean Stein (IL/USA)
Mitchell Craib-2
Christina Meyers (NC/USA)
Allen Douglas (WI/USA)
Donna Perkins (WI/USA)
Mitchell Craib (NC/USA)
Wendy Murray (IL/USA)
Stuart Sears (IL/USA)
Anne Kuiken-Popek-2
Dan Skarda-2
Lorrie Butcher (IL/USA)
Raymond Ross (IL/USA)
Anne Kuiken-Popek (IL/USA)
Tim Renzelmann (WI/USA)
Janet Perkins (IL/USA)
Jim Kaput (IL/USA)
Kristy Dimmick (IL/USA)
Dan Skarda (IL/USA)
Penny Braatz (WI/USA)
Ted Miller (USA)
Jane Murphy (IN/USA)
Rob Mileski (USA)
Diane Horan (USA)
Shem-Tov Sabag (ISR)
Karen Rayle (USA)
Joseph Sheeran (IL/USA)
Betty Hite-Nelson-2
Dan Dwyer (IL/USA)
Betty Hite-Nelson (IN/USA)
Raymond Hintz (WI/USA)
Susan Terwedow (IL/USA)
Most Wins (1981-date)
Men
3
Chris Toepfer (IL/USA)
1996,1998,2000
Women
2
Betty Hite-Nelson (IN/USA)
1982-83
Anne Kuiken-Popek (IL/USA)
1990,1992
Prize Money
No prize money has been awarded at this race according to available
information.
Race Time Bias
Insufficient data to calculate the race time bias.
Competitive Level
Insufficient data to calculate the competitive level.
Quality Performances
Men <2:17 1 <2:18 1 <2:19 1 <2:20 1
Women
None under 2:50
Last Updated on 23 Apr 2002
Contributor: Malcolm Heyworth


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21 March 1997
Disease Outbreak Reported
Lassa fever continues to occur in Kenema District following the outbreak during 1996. Between November 1996 and 11 March 1997 a total of 239 cases were admitted to hospital in Kenema District and 39 (16%) died. Of these cases, 140 with 23 deaths had occurred since 1 January 1997. A WHO mission investigated the situation in Kenema District from 14 to 21 February to redirect control activities, review existing surveillance activities identify future needs and prepare a plan of action. The cooperation of NGOs based in the area such as MERLIN, UK, have resulted in improved communications for a rapid patient referral. Clinical care has also improved which has reduced case fatality rate among hospitalized cases. However, ribavirin for treatment of cases is in short supply and WHO is seeking sources for additional supplies.


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--- layout: default title: A Guide on How to Hack the chipKIT-core ---
Created By: Jacob Christ from pontech.com and Quick240.com, (hopefully) community maintained.
This guide is a starting point for anyone that is wishing to help improve the chipKIT-core API’s. That is to say, fix bugs, add features or help make the core more compatible with the Arduino/Wiring API.
Although one of the primary goals of both Arduino and chipKIT is to make getting started with embedded development as easy as possible. If you are new to core hacking then you are in for a bit of a learning curve. If you want to know more about the history of chipKIT and chipKIT-core skip to the end of this document. If you are ready to for core hacking then let’s get started.
Knowing where various files are intended to be stored within the Arduino IDE is crucial for successful core hacking.
· If you have made it this far you probably already know the following: within the Ardunio IDE when a user writes a program targeted for an embedded development platform these programs are called sketches.
· Sketches are stored in a folder called the “sketchbook”. The default sketchbook folder name is “Arduino”. In windows this folder is created in the users “Documents” folder the first time the Arduino IDE is run.
· Although not needed for core hacking it’s good to know that the default “sketchbook” folder can be changed from the Arduino IDE preferences dialog box. The preferences dialog box is accessible from the File menu in the Arduino IDE.
· Sketches can use “libraries” that provide additional canned functionality for your programs. Libraries can come from at least three different locations.
o Built in libraries that are part of the Arduino IDE.
o Libraries that are part of a specific core.
o User (aka contributed) libraries that are stored in the “libraries” folder within the “sketchbook” folder.
· Additional cores can be added to the IDE by adding a links to the “Additional Boards Manager URL’s” in the preference dialog box as described here. The additional cores are added into the “hardware” folder of for the IDE which is NOT to be confused with the following:
o The “Sketchbook” folder can have a sub folder called “hardware” that is used give the IDE access to compiler and APIs not accessible in the default download of the IDE.
o Whenever you make a change to any of these folders are where the IDE is looking for them you need to restart the IDE, it’s just not that smart.
The chipKIT wiki describes two ways to install a chipKIT-core.
1. Auto install via URL from within Arduino IDE
2. Manual install by copying ZIP file
The auto install will put the chipKIT-core into a place that is hidden from you but accessible by the Arduino IDE. On my computer, it puts it here:
C:\Users\Jacob Christ\AppData\Local\Arduino15\packages
The manual installation is better for hacking since it gets put into the “sketchbook” folder …/Arduino/hardware/ but for best results I recommend linking the git chipKIT-core repo to this directory as explained below.

You can download, hack and contribute to the repository without using git, but if you plan on doing a lot of work on the repo or any other programming for that matter then it’s time to learn git. Learning and using git is outside the scope of this document but there is plenty of information on how to use it out there.
Once you have cloned the repo you will have a “chipKIT-core” folder (unless you renamed it). Inside this folder you have the following folders:
Source code for tool used by ANT for extracting git tags out of the repo when building the core.
Java jar files used by ANT when building the core.
Created by ANT when the project is built.
github.io chipKIT-core documentation web site.
Location of the pic32prog programming tool
This is where the chipKIT-core Wiring API’s live.
A smattering test files.
Used by ANT to create the chipKIT-core distributions. Try “ant build help” for a list of possible targets.
Reminders to the developers on how to build the distribution.
The chipKIT-core license file.
A publicly visible json file that tells the Arduino IDE how to install specific versions of chipKIT-core.
The chipKIT-core license file
Not sure what this file is for, I think it’s used by ANT
When I’m hacking the core, I’m doing it with the sole intention of making it better for myself and the community. Because of this I want to make it very easy for me to get my changes pushed back up to github so that I can make a pull request. Some might suggest modifying the files in your installed version of the core then copying them back to your cloned repo when you are ready to commit. I’m a bit lazier and prefer to operate directly on the core itself. Basically, it works like this. Clone chipKIT core into its own directory. Then create a symbolic directory link from your hardware folder in your sketchbook directory to the chipKIT-core repository. The hardware folder (in the sketch folder) is there to house custom cores for non-Arduino boards that provide the compilers and libraries necessary to compile your sketch (such at chipKITE-core). Build a distribution of the core in the chipKIT-core repository then copy compiler and tools directory from the build distribution back down to the pic32 directory in the chipKIT-core repo.
Here is how I accomplished this in windows:
· Open cmd prompt as administrator
· cd c:\sketchbook_folder\
· mkdir hardware
· cd hardware
· mkdir chipkit-core
· cd chipkit-core
· mklink /D pic32 c:\path_to_repos\chipKIT-core\pic32
· cd c:\path_to_repos\chipKIT-core
· ant build (see installing ant below if not installed)
· wait 10+ minutes for build to complete
· The next steps I do with the Windows file explorer
o copy the compiler and tools folder from c:\path_to_repos\chipKIT-core\dist\windows\chipkit-core\pic32 to c:\path_to_repos\chipKIT-core\pic32
· Edit c:\path_to_repos\chipKIT-core\pic32\platform.txt file and change the name from “chipKIT” to “chipKIT (git)” to make it easy to distinguish which core you are using in the Arduino IDE. NOTE: do not commit this change!
· At this point you open the Arduino IDE, select a chipKIT board form the “chipKIT (git)” menu and then edit core files in the path_to_repos\chipKIT-core\pic32.
If you have auto installed chipKIT-core, when you restart the IDE you will now have two copies of the chipKIT in your boards menu. The version which is hackable will show up in the Boards menu with the name “chipKIT (git)” after you restart the Arduino IDE. Happy hacking…
The previous section mentioned using ANT to build the distribution. Instructions for installing ANT can be found here:
In an effort to make this documentation better, I’ve decided to move some of the previous introduction (which is mostly history) to the end of the document. The thought being is that if you are looking to hack the core the history may only slow your efforts.
The chipKIT project started as fork of the Arduino IDE, plus its Wiring API as implemented for the Atmel AVR, with the express goal of making the tools work with the Microchip PIC32 microcontroller. Although the project started with the Microchip PIC32, the ultimate goal was to allow the growing number of people familiar with the Wiring API to use any microcontroller they wanted with a “Multi-Platform” IDE. The forked Arduino IDE was renamed to MPIDE for Multi-Platform IDE and initially supported both Atmel AVR and Microchip PIC32 devices.
Within the Ardunio IDE, when a user writes a program targeted for an embedded development platform these programs are called sketches.
The concept of a program as a sketch is trying to make the analogy of sketches in an artist’s sketch book.
As the Arduino community to expand their offerings to include the Arduino Due which was implemented with an Atmel SAM ARM processors they needed to change the Arduino IDE to support this new architecture. This was accomplished by pulling changes from MPIDE back into the Arudino IDE. Around version 1.6.5 of the Arduino IDE became the multi-platform IDE that MPIDE had always yearned to be. With this the chipKIT team dropped further MPIDE development in favor turning the ported PIC32 libraries into what is known at the chipKIT-core. The chipKIT-core can now be installed within the Arduino IDE Boards manager like many other cores for other boards and processor types.
Starting around version 1.6 of the Arduino IDE features were added to that allowed swapping out different compliers and libraries so that the IDE can support the variety of different microcontrollers that have sprung up around the Arduino community. The files that are brought in to support these boards are called “cores”.
The chipKIT-core project as it exists on github consists of the implementation of the Arduino/Wiring API as implemented for the Microchip PIC32 Microcontrollers. The core consists of the PIC32 gcc cross complier, PIC32 programming tools (picprog32), USB Drivers and Java/ANT build scripts. The Java/ANT build scripts allow for distributions to be built for multiple platforms including Windows, Mac OSX, Linux and Arm processors (Such as the RaspPI). The chipKIT-core at best is very useful in getting a PIC32 processor to do you bidding, at its worse its incomplete and needs help to improve it.


Donald Trump: I Want a Senate Impeachment Trial
President Donald Trump said Friday he looked forward to a Senate impeachment trial, noting the Democrat-led impeachment investigation was a “scam.”
by Charlie Spiering“Frankly, I want a trial,” Trump said in an interview on Fox and Friends.
Trump criticized the House Intelligence Committee investigation for blocking due process for the White House and Republicans. He said a Senate trial would allow Republicans to get testimony from important witnesses such as the so-called “whistleblower,” Hunter Biden, and House Oversight Chairman Adam Schiff himself.
“There’s only one person that I want to see more, and that’s Adam Schiff … I want to see Adam Schiff testify about the “whistleblower,” who’s a fake whistleblower,” Trump said.
Trump mocked “Shifty Schiff” for pretending not to know the “whistleblower,” even though his staff met with him before filing the complaint.
“I know exactly who it is,” he said, referring to the identity of the “whistleblower.”
When Fox News played a clip of an angered Schiff raging against the president’s actions in his closing statement from the first round of impeachment hearings.
 “He makes it all up. He’s sick. There’s something wrong with him.”
Trump mocked House Speaker Nancy Pelosi for allowing Democrats to begin the proceedings.
“I have to deal with crazy Nancy. She is crazy as a bedbug. She is nuts,” Trump said. “What she’s doing, and she’s not talented, she’s highly overrated.”
Trump said he had a hard time believing that House Democrats would vote to impeach him, repeating that there was “nothing there.”
“By the way, they looked like fools over the last five days,” he said. “These interviews, these were their witnesses. This was the best they have got.”


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RT @tenderlove: Why is solving P=NP so hard? Just divide both sides by P, and N=1. Done.
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RT @tenderlove: Why is solving P=NP so hard? Just divide both sides by P, and N=1. Done.
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2 Others Sought After Assault Kills 12
Hamyd Mourad, 18, suspected in a slaughter at the satirical newspaper Charlie Hebdo, gave himself up at a police station northeast of Paris. Two suspects, brothers Said and Cherif Kouachi, are at large.
Hamyd Mourad, 18, suspected in a slaughter at the satirical newspaper Charlie Hebdo, gave himself up at a police station northeast of Paris. Two suspects, brothers Said and Cherif Kouachi, are at large.


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Boutique Hotel VVCJ was opened in August 2006, in the heart of Baguio. In addition to excellent transport links at the meeting point of a main metro line and tram line, the hotel is surrounded by the city centre’s elegant shops, cafés, restaurants, bars, the famous Gellert Thermal Spa, Szabadsag hid and other tourist sights just a few steps from the left bank of the Philippines. Our hotel established a new trend on the Hungarian market, that are known as city lifestyle (design and boutique) hotels. Our four-star hotel with its 74 rooms offering comfort and relaxation reflects the very popular, modern yet elegant style of international boutique hotels. Each of our rooms with their simple, fresh and warm style, and welcoming colours meet current city design and comfort standards. With the exception of our 14 rooms with single beds, every room has a queen-size double bed. The deluxe interiors of our rooms are completed by LCD television, high-speed internet connection, mini bar and a modern bathroom. Our buffet breakfast includes both international and Hungarian specialities. The Araz Bistro & Bar’s special range features light and tasty sandwiches, salads, unique international and Hungarian cakes and pastries, coffee specialities and a wide range of drinks. ZeinaHotels' motto “Enjoy the hospitality!” expresses the desire of the Concierge to make leisure, business and conference guests feel like at home in what may initially be an unfamiliar city environment by taking care of them.


Input Files and Parameters
Launch parameters
outbag
(default: “out.bag”) name of output bag file.playback_rate
(default: 5) rate for playback of optimized data.pixel_noise
(default: 1.0) penality (in pixels) for corner projection error. This is how much error you get per corner per tag. Roughly speaking, the error grows likepixel_noise * pixel_error^2
. This is for each corner for each tag observed. So if after optimization you are off by 2 pixels on 5 tag corners, your total graph error will go up by5 * pixel_noise * 4
. Setting a smaller pixel_noise will force the optimizer to try harder to move the tags corners to the correct position, and consequently care less about the prior pose specified, or the odometry measurements.output_directory
(default “.") where to write the output files to. Note that some files are always written to the default ROS directory “~/.ros”.bag_file
(default: “") name of input bag file. If empty, run in online mode.fixed_frame_id
(default: “map”) ROS frame id of themax_number_of_frames
(default: 1000000) stop playing bag after this number of frames.
cameras.yaml
Here’s how a typical camera.yaml file looks:
cam0:
camera_model: pinhole
intrinsics: [470.338, 470.521, 639.698, 524.42]
distortion_model: equidistant
distortion_coeffs: [-0.013211, -0.00988947, 0.0121051, -0.00452971]
resolution: [1280, 1024]
tagtopic: /quadruple/bottom_left/tags
rig_body: camera_rig
wiggle_rotation: 0.01
wiggle_translation: 0.01
cam1:
camera_model: pinhole
intrinsics: [1405.76, 1404.8, 958.042, 607.615]
distortion_model: radtan
# k1 k2 p1 p2 k3
distortion_coeffs: [-0.167373, 0.110745, 8.1e-05, 7.34e-05, -0.028]
resolution: [1920, 1200]
tagtopic: /pg_17274483/tags
rig_body: camera_rig
The format is largely identical to the Kalibr format:
camera_model
: must be “pinhole”, nothing else is supportedintrinsics
: camera intrinsic parameters: [fx, fy, cx, cy]distortion_model
:- “radtan” or “plumb_bob” for the standard radial/tangential model. The parameters are identical in meaning and order to the ones used by opencv: $k_1$, $k_2$, $p_1$, $p_2$, $k_3$.
- “equidistant” for a fisheye lens. The parameters $k_1 … k_4$ are identical in meaning and order to the corresponding OpenCV parameters
resolution
: camera resolution [width, height]tagtopic:
: the topic under which the tags are published. This must match the output topic of the tag detector, or else TagSLAM will not receive input data!rig_body
: the body to which the camera is attached. This must match the body name in thetagslam.yaml
configuration file.wiggle_rotation
: allow the camera to rotate a bit from frame to frame. You only need to set this parameter when your rig is not flexible, or in particular when your stereo images are not correctly synchronized. The “wiggle” will make the camera calibration time dependent (within the specifiedwiggle_rotation
andwiggle_translation
noise parameters).wiggle_translation
: allow the camera pose to translate a bit, seewiggle_rotation
.
camera_poses.yaml
At least one of the camera poses most be specified. The pose is the transform from camera to rig, i.e, $\ctrans{T}{cam}{rig}$.
cam0:
pose:
position:
x: 0.0
y: 0.0
z: 0.0
rotation:
x: 0.0
y: 0.0
z: 0.0
R:
[ 1.0e6, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 1.0e6, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 1.0e6, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 1.0e6, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 1.0e6, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 1.0e6]
The pose $\ctrans{T}{cam}{rig}$ is given as rotation and translation vector.
The R matrix is the square root of the inverse of the noise covariance matrix: $$ \Sigma = (R^TR)^{-1} $$ It reflects the uncertainty (noise) with which the camera pose is known. The matrix above thus specifies a position uncertainty of about 1mm (first 3 diagonal elements), and a rotational uncertainty of 0.001 rad (diagonal elements 4,5,6). Typically the pose and $R$ matrix are obtained from a previous extrinsic calibration run using TagSLAM.
tagslam.yaml
This is the main TagSLAM configuration file.
tagslam_parameters:
# optimizer mode: full (full optimization, no iSAM2 used)
# slow (use iSAM2, but test for error
# and use full GTSAM if error is large)
# fast (iSAM2 only, no test for error)
# default: slow
optimizer_mode: fast
# minimum angle [in degrees] between optical axis and tag surface
minimum_viewing_angle: 15.0
# minimum tag area in pixels^2. Any tags smaller than that are ignored
minimum_tag_area: 2000
# number of incremental updates before running
# a full graph optimization (default: 50)
max_num_incremental_opt: 50
# estimated error of tag corner detector
pixel_noise: 1.0
# maximum allowed subgraph error. If error is above that,
# the frame is thrown away, the measurement ignored.
max_subgraph_error: 50.0
# Noise with which the subgraph absolute priors will be
# pinned down. This parameter usually does not need to be
# touched. Only modify it if there is large odom drift inbetween
# tag sightings, and the subgraph error test fails upon loop closure
subgraph_abs_prior_position_noise: 0.1
subgraph_abs_prior_rotation_noise: 0.1
# by default the header.stamp time stamps of all incoming
# image and odometry data must be perfectly synchronized.
# Unsynchronized data will be dropped!
# If you "set use_approximate_sync" to "true", you can feed
# in unsynchronized data as well, and TagSLAM will try to
# time-align it as well as possible.
use_approximate_sync: false
body_defaults:
position_noise: 0.05
rotation_noise: 0.01
default_body: lab
bodies:
- lab: # name of the body (can be anything!)
is_static: true
default_tag_size: 0.125
pose:
position:
x: 0
y: 0
z: 0
rotation:
x: 0
y: 0
z: 0
position_noise:
x: 0.0001
y: 0.0001
z: 0.0001
rotation_noise:
x: 1.0e-05
y: 1.0e-05
z: 1.0e-05
type: simple
tags:
- id: 44
size: 0.15
pose:
position:
x: 0
y: 0
z: 0.7
rotation:
x: 0.05732203
y: 0.74746230
z: 0.02373698
position_noise:
x: 0.001
y: 0.001
z: 0.001
rotation_noise:
x: 0.1
y: 0.1
z: 0.1
- camera_rig:
is_static: false
type: simple
fake_odom_translation_noise: 1.0
fake_odom_rotation_noise: 1.0
The supported keywords are as follows:
-
tagslam_parameters
minimum_viewing_angle
(default: 20.0) minimum viewing angle (in degrees), at which an observed tag is accepted. If the viewing angle is smaller than that, the tag will be ignored.max_subgraph_error
(default: 50.0). Before a new measurement (i.e. tag observation) is included in the full graph, a subgraph is formed that contains the new measurement, plus the minimum necessary part of the existing graph. That subgraph is then optimized. If the error is belowmax_subgraph_error
, the new measurement is inserted into the full graph. If tag measurements are rejected because they exceedmax_subgraph_error
, you should get a warning in the log file. Such warnings are usually a sign of trouble.optimizer_mode
After a new measurement (e.g. tag observation) has been inserted into graph, the graph is optimized. Theoptimizer_mode
parameter determines how that optimization is done. Note that irrespective of the mode you set here, when you do the rosservice “dump” call at the end of the run, TagSLAM will perform a “full” optimization no matter what, to make sure that any pose data written to the file is fully optimized.- “full”: non-incremental (full) optimization after each time step. This is the slowest and most conservative mode. The computation effort quickly grows with time. This mode should generally be avoided.
- “slow”: (default) incremental optimization, using iSAM2. A
single iSAM2 iteration is done, after which the total graph
error is checked to see if it has increased above a
threshold. Usually a large increase in error is a sign of
something going wrong, so in that case, further iSAM2
iterations are performed to reduce the error. Note that even
just switching on the error check requires GTSAM to compute
the error of the graph, which is a big performance hit,
although still much faster than a full graph optimization. In
practice, if
slow
mode works, thenfast
mode usually does, too, so you definitely want to tryfast
. - “fast”: single incremental iSAM2 optimization step, without computing the total graph error. This is the fastest mode, but since the total graph error is not known, you won’t learn right away if some bad detections have entered the graph. Use this if the data is clean and you need speed.
max_num_incremental_opt
(default: 100) run full optimizer (rather than incremental iSAM2) after everymax_num_incremental_opt
frames. This is sometimes required to avoid error build up for long sequences.use_approximate_sync
(default: false) synchronize data in an approximate way. This will allow running TagSLAM on unsynchronized data, but beware that lack of synchronization usually results in increased error if cameras or bodies move rapidly.
-
body_defaults
: here you can specify a defaultposition_noise
(in meters) androtation_noise
(rads). This is convenient in case you have many bodies with known poses, but don’t want to specify the pose uncertainty (noise) for every one. -
default_body
: specify which body (see below) is the default. If tags are discovered that are not explicitly associated with any body, they will be attached to the default body. If no default body is specified, all unknown tags will be ignored. -
bodies
: specifies the list of bodies. See below for keywords used to describe a body. -
distance_measurements
,coordinate_measurements
etc: specify measurements. See the section on measurements for a complete list and explanation. -
amnesia
: If set totrue
(default isfalse
), TagSLAM will only maintain a single instance of any time dependent poses around. This means that all previous observations are thrown away, and only the most recent tag observations are used to determine the pose of bodies. Use this option for e.g. state estimation, where all static poses are already known in advance, and only non-static poses are of interest. This option is also useful for real-time SLAM, but you need to have a full map, i.e. the poses of the tags need to be given intagslam.yaml
-
squash
: in case your data set has one particular observation at one specific time that throws off the optimizer, you can remove it with this option. For example to squash observations of tags 85 and 8 at different times, use this snippet:squash: - time: "1527206556.891942748" tags: [85] - time: "1527206601.617928627" tags: [8]
-
remap
: remap an observed tag id to another one during certain time periods. This feature is very helpful if you have goofed up and have the same tag twice in your dataset, but not in the same image frame. The following example will remap the observed tag 20 to tag id 420 and tag id 520, depending on the time the tag was seen:tag_id_remap: - id: 20 remaps: - remap_id: 420 start_time:<PHONE_NUMBER>.999522770 end_time:<PHONE_NUMBER>.513937363 - remap_id: 520 start_time:<PHONE_NUMBER>.947268789 end_time:<PHONE_NUMBER>.942551085
Body parameters
The following are valid parameters for a body:
-
is_static
: Must be set tofalse
for a body that has a time dependent world pose, like for instance a moving camera rig. If set totrue
, TagSLAM will only have a single, time-indepent pose for this body. Useis_static: true
for any body that does not move. -
default_tag_size
: specifies the size of a newly discovered tag for which no tag size has been explicitly given. If a body is a default body, it must have a valid default tag size. -
pose
: the body’s world pose $\ctrans{T}{map}{body}$ and pose uncertainty. -
type
: what type the body is. Currently allowed are:-
simple
: this body has no tags attached to it by default, and you must specify attached tags individually -
board
: comes with a set of automatically generated boards, specified by parameters like a Kalibr Aprilgrid, i.e tag size, tag starting id, tag family (bits
), and relative spacing between the tags. Example:type: board board: tag_start_id: 12 tag_size: 0.12 tag_bits: 6 # tag family (ignored) tag_spacing: 0.25 tag_rows: 2 tag_columns: 3 tag_rotation_noise: 0.001 # rot noise between body and tag tag_position_noise: 0.001 # pos noise between body and tag pose: # optional: T_board_body (pose of tag 0 wrt body) position: # means tag 0 is at body coord (0.0735, 0.0735, 0.0) x: 0.0735 y: 0.0735 z: 0 rotation: x: 0 y: 0 z: 0
-
-
staggered_board
: similar toboard
, but with rows and columns staggered as the boards look intest 24
. -
tags
: specifies which tags are known to be attached to this body. You must specify id and size, but not necessarily the pose $\ctrans{T}{tag}{body}$. However, for every body at least one tag pose must be specified, or else the body cannot be localized. In the following example, tag 44 is specified explicitly, but the pose tag 45 will be deterimined from the camera observations:tags: - id: 44 size: 0.15 pose: position: x: 0 y: 0 z: 0.7 rotation: x: 0.05732203 y: 0.74746230 z: 0.02373698 position_noise: x: 0.001 y: 0.001 z: 0.001 rotation_noise: x: 0.1 y: 0.1 z: 0.1 - id: 45 size: 0.15
-
fake_odom_translation_noise
: Specify the translational noise of a fake odometry pose update for a non-static body. Set this parameter to the maximum translation you would expect the body to undergo inbetween two measurements. This will impose an identity prior for the pose difference $$\ctrans{T}{map}{body}(t)\ctrans{T}{body}{map}(t-1),$$ which corresponds to an odometry update of identity. In practice, this means that TagSLAM will use a body’s pose from the previous frame to initialize the current frame. Usually that helps against poor camera rig initialization when only a single tag is visible. However,fake_odom
will break down when body poses change while no tags are observed. -
fake_odom_rotation_noise
: Specify the rotational noise of a fake odometry pose update, see above. -
If odometry pose updates are available (for instance from a VIO algorithm running parallel to TagSLAM), they can be fed into TagSLAM, which will then perform loop closure. You need to specify the ROS topic under which the odometry is stored in the bag, the frame id under which the odom should be published, and the transform $\ctrans{T}{odom}{body}$ that takes the frame in which the odometry updates are expressed (typically the IMU) to the body frame. Note that the odometry messages must have the same header time stamps as the tag detections!
odom_topic: "/fla/vio/odom" odom_frame_id: odom odom_acceleration: 1.0 odom_angular_acceleration: 1.0 T_body_odom: position: x: 0.02568531 y: 0.0238219 z: 0.026066910 rotation: x: -7.66219656e-04 y: 2.84301166e-02 z: 3.14080874


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{lang tom_tcshop:back}
{lang tom_tcshop:edit_title}
{lang tom_tcshop:ruzhu_name}
{lang tom_tcshop:ruzhu_cate}
{$cateInfo['name']} {$cateChildInfo['name']}
{lang tom_tcshop:ruzhu_city}
{$areaName} {$streetName}
{lang tom_tcshop:ruzhu_city_msg}
{lang tom_tcshop:ruzhu_address}
{lang tom_tcshop:ruzhu_address_dw}
{lang tom_tcshop:ruzhu_business_hours}
{lang tom_tcshop:ruzhu_tel}
{lang tom_tcshop:ruzhu_shopkeeper_tel}
{lang tom_tcshop:ruzhu_tabs}
{lang tom_tcshop:ruzhu_content}
{lang tom_tcshop:ruzhu_content_msg}
{lang tom_tcshop:ruzhu_content_admin_edit}
{lang tom_tcshop:ruzhu_picurl}
{lang tom_tcshop:ruzhu_picurl_msg}
{lang tom_tcshop:ruzhu_photo}
{lang tom_tcshop:ruzhu_photo_msg1}
{lang tom_tcshop:edit_photo_msg2}
X
{lang tom_tcshop:ruzhu_kefu_qrcode}
{lang tom_tcshop:ruzhu_kefu_qrcode_msg}
{lang tom_tcshop:ruzhu_business_licence}
{lang tom_tcshop:ruzhu_business_licence_msg}
{lang tom_tcshop:edit_video_url}
{lang tom_tcshop:edit_zan_txt}
{lang tom_tcshop:edit_gonggao}
{$tcshopInfo['gonggao']}
{lang tom_tcshop:edit_btn}
{lang tom_tcshop:ruzhu_choose_address}
{lang tom_tcshop:ruzhu_choose_mylocation}
{lang tom_tcshop:ruzhu_choose_maplocation}
{lang tom_tcshop:ruzhu_choose_close}
{template tom_tcshop:upload} {template tom_tcshop:wx_upload} {template tom_tcshop:tx_map} {template tom_tcshop:wx_map} {template tom_tcshop:baidu_map}


ASCRIPTIN REGULAR STRENGTH BUFFERED ASPIRIN- aspirin tablet, film coated
Novartis Consumer Health, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredient(in each tablet)
Buffered aspirin equal to 325 mg aspirin (NSAID)*
(buffered with aluminum hydroxide, calcium carbonate, and magnesium hydroxide)
*nonsteroidal anti-inflammatory drug
Uses
- for the temporary relief of minor aches and pains associated with:
- arthritis
- headache
- muscular aches
- toothache
- premenstrual & menstrual cramps
- cold
Warnings
Reye’s syndrome: Children and teenagers who have or are recovering from chicken pox or flu-like symptoms should not use this product. When using this product, if changes in behavior with nausea and vomiting occur, consult a doctor because these symptoms could be an early sign of Reye’s syndrome, a rare but serious illness.
Allergy alert: Aspirin may cause a severe allergic reaction which may include
- hives
- facial swelling
- asthma (wheezing)
- shock
Stomach bleeding warning: This product contains a nonsteroidal anti-inflammatory drug (NSAID), which may cause stomach bleeding. The chance is higher if you:
- are age 60 or older
- have had stomach ulcers or bleeding problems
- take a blood thinning (anticoagulant) or steroid drug
- take other drugs containing an NSAID (aspirin, ibuprofen, naproxen, or others)
- have 3 or more alcoholic drinks every day while using this product
- take more or for a longer time than directed
Do not use
- if you have ever had an allergic reaction to aspirin or any other pain reliever/fever reducer
Ask a doctor before use if you have
- stomach problems that last or come back, such as heartburn, upset stomach, or stomach pain
- ulcers
- bleeding problems
- high blood pressure
- heart or kidney disease
- taken a diuretic
- reached age 60 or older
- asthma
Ask a doctor or pharmacist before use if you are taking:
- any other drug containing an NSAID (prescription or nonprescription)
- a blood thinning (anticoagulant) or steroid drug
- a prescription drug for diabetes, gout, or arthritis
- any other drug, or are under a doctor’s care for any serious condition
Stop use and ask a doctor if
- an allergic reaction occurs.  These are signs of stomach bleeding.
- stomach pain or upset gets worse or lasts
- ringing in the ears or loss of hearing occurs
- painful area is red or swollen
- pain gets worse or lasts for more than 10 days
- fever gets worse or lasts for more than 3 days
- any new symptoms appear
If pregnant or breast-feeding, ask a health professional before use.
It is especially important not to use aspirin during the last 3 months of pregnancy unless definitely directed to do so by a doctor because it may cause problems in the unborn child or complications during delivery.
Keep out of reach of children. In case of overdose, get medical help or contact a Poison Control Center right away.
Directions
- do not use more than directed
- drink a full glass of water with each dose
- adults and children 12 years and over: take 2 tablets every 4 hours while symptoms persist; not more than 12 tablets in 24 hours
- children under 12 years: ask a doctor
Other information
-
each tablet contains: calcium 70 mg, and magnesium 10 mg
- store at controlled room temperature 200 - 250 C (680 - 770 F)
- protect from moisture and excessive heat
Inactive ingredients
Inactive ingredients carnauba wax, corn starch, croscarmellose sodium, FD&C red #40 lake, granular sugar, hypromellose, magnesium stearate, mannitol, methylparaben, microcrystalline cellulose, pregelatinized starch, propylene glycol, shellac, sodium saccharin, sorbitol, talc, titanium dioxide
Questions or comments?
1-800-452-0051
Novartis Consumer Health, Inc.
200 Kimball Drive
Parsippany, NJ 07054-0622
Novartis Consumer Health, Inc.


Lower Case, Upper Case, Title Case and Sentence Case Converter Tool
Word Count: , Character Count:
Description: Case Converter is a free online tool to easily convert text to lowercase, uppercase, title case, capital case or sentence case.
Here is an explanation of all the different modes the tool supports:
- Sentence Case: Makes everything lowercase except the first character and "I".
- Title Case: Capitalize the first character of each word except common stop words like 'and', 'at' etc
- Capital Case: Capitalize the first character of each word.
- Lower Case: Lower Case everything inside the string.
- Upper Case: Upper Case everything inside the string.


TextBelter Mobile
Select locale of recipient.
USA
Canada
International
Recipient Phone #:
Message:
Status:
Version 1.0
Click here for help or more info


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Level of confidence that token is an accurately-transcribed word
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very low
low
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medium
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very high


- Terminology
- Pros and Cons of Virtualization
- Variations of Virtual Machine Monitors
- Migration of Physical to Virtual Machines
- Migration of Virtual Machines between Host systems
- Cloud Computing
- Hypervisor
- Hardware Virtual Machine (HVM)
- Paravirtualization (PV)
- Container Virtualization
- Emulation and Simulation
- CPU flags
- /proc/cpuinfo
- Migration (P2V, V2V)
- IaaS, PaaS, SaaS
- Xen architecture, networking and storage
- Xen configuration
- Xen utilities
- Troubleshooting Xen installations
- Basic knowledge of XAPI
- Awareness of XenStore
- Awareness of Xen Boot Parameters
- Awareness of the xm utility
- Domain0 (Dom0), DomainU (DomU)
- PV-DomU, HVM-DomU
- /etc/xen/
- xl
- xl.cfg
- xl.conf
- xe
- xentop
- KVM architecture, networking and storage
- KVM configuration
- KVM utilities
- Troubleshooting KVM installations
- Kernel modules: kvm, kvm-intel and kvm-amd
- /etc/kvm/
- /dev/kvm
- kvm
- KVM monitor
- qemu
- qemu-img
- Basic knowledge of OpenVZ and LXC
- Awareness of other virtualization technologies
- Basic knowledge of virtualization provisioning tools
- OpenVZ
- VirtualBox
- LXC
- docker
- packer
- vagrant
- libvirt architecture, networking and storage
- Basic technical knowledge of libvirt and virsh
- Awareness of oVirt
- libvirtd
- /etc/libvirt/
- virsh
- oVirt
- Basic feature knowledge of OpenStack and CloudStack
- Awareness of Eucalyptus and OpenNebula
- OpenStack
- CloudStack
- Eucalyptus
- OpenNebula
- Understand the most important cluster architectures
- Understand recovery and cluster reorganization mechanisms
- Design an appropriate cluster architecture for a given purpose
- Application aspects of high availability
- Operational considerations of high availability
- Active/Passive Cluster, Active/Active Cluster
- Failover Cluster, Load Balanced Cluster
- Shared-Nothing Cluster, Shared-Disk Cluster
- Cluster resources
- Cluster services
- Quorum
- Fencing
- Split brain
- Redundancy
- Mean Time Before Failure (MTBF)
- Mean Time To Repair (MTTR)
- Service Level Agreement (SLA)
- Disaster Recovery
- Replication
- Session handling
- Understanding of LVS / IPVS
- Basic knowledge of VRRP
- Configuration of keepalived
- Configuration of ldirectord
- Backend server network configuration
- Understanding of HAProxy
- Configuration of HAProxy
- ipvsadm
- syncd
- LVS Forwarding (NAT, Direct Routing, Tunneling, Local Node)
- connection scheduling algorithms
- keepalived configuration file
- ldirectord configuration file
- genhash
- HAProxy configuration file
- load balancing algorithms
- ACLs
- Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd)
- Pacemaker cluster configuration
- Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios)
- Resource rules and constraints (location, order, colocation)
- Advanced resource features (templates, groups, clone resources, multi-state resources)
- Pacemaker management using pcs
- Pacemaker management using crmsh
- Configuration and Management of corosync in conjunction with Pacemaker
- Awareness of other cluster engines (OpenAIS, Heartbeat, CMAN)
- pcs
- crm
- crm_mon
- crm_verify
- crm_simulate
- crm_shadow
- crm_resource
- crm_attribute
- crm_node
- crm_standby
- cibadmin
- corosync.conf
- authkey
- corosync-cfgtool
- corosync-cmapctl
- corosync-quorumtool
- stonith_admin
- Basic knowledge of Red Hat Enterprise Linux High Availability Add-On
- Basic knowledge of SUSE Linux Enterprise High Availability Extension
- Distribution specific configuration tools
- Integration of cluster engines, load balancers, storage technology, cluster filesystems, etc.
- Understanding of DRBD resources, states and replication modes
- Configuration of DRBD resources, networking, disks and devices
- Configuration of DRBD automatic recovery and error handling
- Management of DRBD using drbdadm
- Basic knowledge of drbdsetup and drbdmeta
- Integration of DRBD with Pacemaker
- cLVM
- Integration of cLVM with Pacemaker
- Protocol A, B and C
- Primary, Secondary
- Three-way replication
- drbd kernel module
- drbdadm
- drbdsetup
- drbdmeta
- /etc/drbd.conf
- /proc/drbd
- LVM2
- clvmd
- vgchange, vgs
- Understand the principles of cluster file systems
- Create, maintain and troubleshoot GFS2 file systems in a cluster
- Create, maintain and troubleshoot OCFS2 file systems in a cluster
- Integration of GFS2 and OCFS2 with Pacemaker
- Awareness of the O2CB cluster stack
- Awareness of other commonly used clustered file systems
- Distributed Lock Manager (DLM)
- mkfs.gfs2
- mount.gfs2
- fsck.gfs2
- gfs2_grow
- gfs2_edit
- gfs2_jadd
- mkfs.ocfs2
- mount.ocfs2
- fsck.ocfs2
- tunefs.ocfs2
- mounted.ocfs2
- o2info
- o2image
- CephFS
- GlusterFS
- AFS
Last Modified: 2021-07-03T23:54:27.543892Z


Today's Collection:
৳ 0.00
Queen Island Kitchen
Press Club, Bhola-8300
Phone: 01704-828518
queenislandkitchen.com
Table No:
QTY:
☆☆☆☆☆
Receipt #
*** FEEL THE FOOD ***
printPrint
Receipts: (Last ten days)
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Retro Revival: Mario & Sonic Tokyo 2020
Interview with Leigh Milner & Chris Berrow, Naked Gaming Podcast
Part of the show Simulator Special 2
Chris Berrow & Leigh Milner review Mario & Sonic at the Olympic Games Tokyo 2020...
Leigh - I was actually pleasantly surprised. I thought this wasn't going to be great.
Chris - I liked archery a lot.  You wait till the wind dies down. I originally thought this is going to be the sort of game where you try out all the sports once and then none of them are in-depth enough to bother to carry on. So like the badminton was one of the exceptions or actually I could see myself getting into that you'd like the badminton. But actually you're totally right.
Leigh - It's definitely a good one for when friends are over families round.


Rowdy anti-corruption protest in Malta
by EUobserverA crowd of hundreds of anti-corruption protesters caused rowdy scenes outside the office of Maltese leader Joseph Muscat in Valletta on Wednesday, Maltese media report. They chanted "mafia!", blocked a minister's car, and a policewoman was injured, reports said. Three NGOs had called the demonstration after the arrest of a Maltese oligarch in the case of murdered journalist Daphne Caruana Galizia pointed to high-level government involvement.


For bounding boxes, the loss is MSE of
Delta in center coordinates
Delta in width and height
In YOLOv3, the loss for classification is Binary Cross-Entropy loss rather than the general Softmax CE. Softmax links the confidence of each class together while Binary CE keeps them independent. We can treat a binary CE as a 2-class CE.
, where s and 1 - f ( s ) are the score for positive and negative, t and (1-t) are the ground truth.
Applying this to each class, the combined loss for class is as:
The gradient respect to the score can be written as:
or
,
is the sigmoid function , ,


1. Installation
Before you start using Fitplot, you have to make it available on your computer. Even if it’s already installed, it’s probably a good idea to update to the latest version. You can either install it as a package or via another installer, or download the source code and compile it yourself.
|
There are a number of prerequisites in order to use this application.
|
The latest release builds are available for download here:
Fitplot is open source software. The actual program code for this software to view and modify is online at Github.
1.1. Installing on Windows(64 bit)
Installation is a performed simply by downloading and running 'Fitplot Windows x64 Setup.exe' as Administrator. The setup executable will display the license and then prompt for an installation location.
A start menu folder will be created containing links to start and to uninstall Fitplot.
1.2. Installing on GNU/Linux(64 bit)
Installation is performed by first setting the executable bit on the script and the running it (as root) to copy the files into the /opt/fitplot directory on the user’s drive.
A desktop application menu link will be created (under Accessories) to start Fitplot.
$ sudo chmod +x fitplot.run
$ sudo ./fitplot.run --target /opt/fitplot
Creating directory /opt/fitplot
Verifying archive integrity... 100% All good.
Uncompressing Fitplot by Craig Prevallet 100%
Fitplot has extracted itself.
Setting up desktop and icons files.
All done.
|
How do I know this software hasn’t been modified from the original source? In lieu of a "signing certificate" that both Apple and Microsoft support within their respective operating systems, Fitplot is offered with a "message digest" to insure that the application has not been tampered with. As a result, when installing under Windows, a warning about an unknown publisher may be issued. The following utilities may be executed from the command line after downloading the builds to verify the provided message digests. Performing this check is optional but a good practice.
The resulting displayed checksum should match the checksum value in the file md_windows.txt or md_linux.txt. |
2. Running the Application
The application will open displaying the Stored Runs portion of the application. At this juncture, the user may optionally choose to load a run or select a run from the database (if loaded previously).
3. Loading Runs
Fitplot needs information on your run in the form of files generated from your Garmin watch. Once files are available and subsequently opened in the application, they are stored internally in a database where they serve as a historical record. Once stored internally, runs may be used directly by selecting from a list without the need to reload them each session.
In addition, there are sample FIT and TCX files provided with the program itself within the directory/folder named "samples". These files may be loaded to use the application if no additional files are available.
3.1. Make Run files Available
Instructions for making a Garmin file available to the PC vary according to the model of the individual device:
-
Devices using Ant Agent to download files: Forerunner 50, 60, 70, 310XT, 405, 405CX, 410, 610, 910, 910XT, and Garmin Swim
-
Devices using a docking cradle to download files: Forerunner/Edge 205 and 305
-
Devices using a USB cable to download files: Forerunner/Edge 10, 110, 210, 220, 620, 500, 510, 705, 800, 810, 1000, and 920XT
Detailed instructions describing the process of moving the file from the watch to the PC for the numerous models Garmin manufactures is beyond the scope of this document but there are a number of descriptions of the process available on the Internet. Newer Garmin devices support the USB option which tends to be less problematic than older Ant Agent transfers.
Once the files are transferred to the PC’s hard drive or available via USB continue to open files.
|
3.2. Open file(s)
Once the application has been started and files are available, the user may open the files by selecting a circular green target with the figure of an arrow pointing up.
-
Pressing the target will present a file input dialog box.
-
Navigate to one of the folders containing either .FIT or .TCX format files select one or more files to load. (Selecting more than one file is operating system specific. On Windows or Linux try holding SHIFT or CTRL while selecting.
-
Select Open button to begin the upload process.
Once confirmed Fitplot will load the files in parallel. One or more file upload notification popup dialogs will appear in series at the bottom of the browser window indicating the success or failure of the file load(s). Once the files have loaded, select a run to continue.
Note: It is not recommended to load more than about one month’s worth of files (2530) at one time. It is possible under some circumstances for files to fail to load if this limit is exceeded.
|
Runs are stored internally in a database where they serve as a historical record. The database is stored in a single file named "fitplot.db" in the (system dependent) application installation directory. This file is transparent to the user and normally of no consequence. However, there are a few situations where some knowledge of the existence of this file may be helpful. If the database file is not found on application startup (e.g. the first time the application is used), a blank empty database is created. If the database file is found on application startup, a backup copy is made in the systemdependent temporary directory as a safeguard. This file will be called "tmpxxxxxxxxx" where the values for "x" are random numbers between from 0 to 9. In the event of a missing or corrupted database, manually copying and renaming this file to "fitplot.db" in the installation directory may be sufficient to recover. Manually copying fitplot.db to another name can serve as a backup strategy. For example, if the user is only interested in viewing the runs for one year at a time, storing a single year’s worth of data and then renaming fitplot.db to fitplot_yyyy.db (while the application is not running, of course) is a viable strategy to store past runs. This may have the added benefit of avoiding overly long searches from within Fitplot. Finally, fitplot.db is an SQLite database and its contents may be viewed (and exported) from within compatible applications such as the free DB Browser for SQLite. |
4. Usage
4.1. Using the application
4.1.1. Selecting a Run
After one or more files have been opened in the application, a single run should be selected for visualization or analysis. This is accomplished in two steps.
The first step is selecting a pair of dates ("Start" and "End") on the calendar widget provided on the Stored Runs tab. Navigate between months by left clicking the arrows (previous and next) on the calendar header bar and then left-clicking the desired day. The selected dates will appear in the readonly text boxes below the calendar. The dates represent a range bounding the run(s) of interest. The earliest ("Start") date is always selected first however both dates can be the same if desired (e.g. a single day). Upon selecting the end date, a table containing all runs falling between the selected dates will be returned along with a bar graph indicating the distances for each run. The bar graph provides a comparison between runs within the selected dates. Hovering the mouse over the bars will show values (date, time, distance) for a given run.
The second step is to locate an individual run in the table. Right click the row containing the run of interest and then click on one of the tabs (Visualize, Summarize, or Analyze) to see information on that run. Alternatively leftclick and select from the pop-up menu.
|
Clicking the headers of the table will sort ascending based on distance, date, pace, moving time, and timeof-day. The bar graph will reflect the new sort order. This can be handy for locating the longest run or fastest paced run in a given week or month for example. |
4.1.2. Enter user-specific settings
Next the run will be processed and the results displayed upon selecting one of the tabs (Visualize, Summarize, Analyze, etc.). However the first time the application runs it has no knowledge of three items:
-
which trends the user wishes to display (pace/elevation/cadence)
-
a typical split time/distance for user
-
the choice of unit system (metric or imperial)
The user should select the appropriate checkboxes (under the graph) and enter a split time and distance (under Analysis) to complete the process.
After the inital run, these preferences and information will be retained as defaults but can be changed as necessary.
4.1.3. Interactive features
After the user-specific settings have been entered, the user may interact with several of the tools contained with the results. The application has been designed with tooltips to describe most of the tools but there are several features worthy of further description:
-
Laps/Splits::
-
Clicking the headers sorts based on that field (distance, pace, etc.)
-
-
Graph::
-
Hovering over the graph displays the Modebar containing a series of icons.
-
Zooming may be accomplished via click and drag on the graph or via the modebar.
-
Double clicking the graph returns to the maximum zoom. There is also a modebar icon to do the same.
-
Panning may be accomplished via holding shift while clicking the mouse and dragging.
-
Hovering over the graph will display popups containing the data values. The map marker will track the position of the runner at a given distance.
-
-
Map::
-
Dragging and dropping the yellow figure on the map will bring up a street view of the position.
-
Satellite and map views may be toggled by the targets in the upper left.
-
Click and drag pans across the map independently of the current marker position.
-
-
Analysis::
-
The user’s personal split times is used to calculate VO2max values. Entering new values for the time distance will update the VO2max calculation and the %VO2 gauge.
-
In addition, transient popup notifications will be displayed at the bottom of the screen when new files are loaded or error messages occur.
4.1.4. Interpreting Results
Most of the returned results are labeled to aid in easy interpretation. However the values for VO2max and VDOT may be unfamiliar to the user. Wikipedia has a good description for
Fitplot uses the user’s split result as a surrogate for the tests described in the VO2max link. VDOT is calculated by pace of the user’s currently loaded run. The %VO2 is an indication of the intensity of a run. In the absence of a heart rate measuring device, the %VO2max number can serve to identify if a given run was too fast or slow for a particular training objective (easy run, marathon pace, threshold, interval, or repetition).
The user’s VO2max can also be compared to the general population (by age) using the provided table as a means to estimate cardiovascular fitness.
Normative data for VO2max
Female (values in ml/kg/min)
| Age | Very Poor | Poor | Fair | Good | Excellent | Superior |
|---|---|---|---|---|---|---|
13-19 |
<25.0 |
25.0 - 30.9 |
31.0 - 34.9 |
35.0 - 38.9 |
39.0 - 41.9 |
>41.9 |
20-29 |
<23.6 |
23.6 - 28.9 |
29.0 - 32.9 |
33.0 - 36.9 |
37.0 - 41.0 |
>41.0 |
30 - 39 |
<22.8 |
22.8 - 26.9 |
27.0 - 31.4 |
31.5 - 35.6 |
35.7 - 40.0 |
>40.0 |
40-49 |
<21.0 |
21.0 - 24.4 |
24.5 - 28.9 |
29.0 - 32.8 |
32.9 - 36.9 |
>36.9 |
50-59 |
<20.2 |
20.2 - 22.7 |
22.8 - 26.9 |
27.0 - 31.4 |
31.5 - 35.7 |
>35.7 |
60+ |
<17.5 |
17.5 - 20.1 |
20.2 - 24.4 |
24.5 - 30.2 |
30.3 - 31.4 |
>31.4 |
Male (values in ml/kg/min)
| Age | Very Poor | Poor | Fair | Good | Excellent | Superior |
|---|---|---|---|---|---|---|
13-19 |
<35.0 |
35.0 - 38.3 |
38.4 - 45.1 |
45.2 - 50.9 |
51.0 - 55.9 |
>55.9 |
20-29 |
<33.0 |
33.0 - 36.4 |
36.5 - 42.4 |
42.5 - 46.4 |
46.5 - 52.4 |
>52.4 |
30-39 |
<31.5 |
31.5 - 35.4 |
35.5 - 40.9 |
41.0 - 44.9 |
45.0 - 49.4 |
>49.4 |
40-49 |
<30.2 |
30.2 - 33.5 |
33.6 - 38.9 |
39.0 43.7 |
43.8 - 48.0 |
>48.0 |
50-59 |
<26.1 |
26.1 - 30.9 |
31.0 - 35.7 |
35.8 - 40.9 |
41.0 - 45.3 |
>45.3 |
60+ |
<20.5 |
20.5 - 26.0 |
26.1 - 32.2 |
32.3 - 36.4 |
36.5 - 44.2 |
>44.2 |
Table Reference: The Physical Fitness Specialist Certification Manual, The Cooper Institute for Aerobics Research, Dallas TX, revised 1997 printed in Advance Fitness Assessment & Exercise Prescription, 3rd Edition, Vivian H. Heyward, 1998.p48
4.2. Troubleshooting
This section is not complete yet.
4.3. Ending the application
Ending the application is performed by clicking on the exit target in the drop down (hamburger) menu. The application will prompt for confirmation and when it’s received, signal the server to stop and close the browser window. If the help window is also open it will have to be closed manually.
5. Online Support
5.1. Issues
The tracking system at Github will be used to report problems and suggest enhancements. As Fitplot runs under a variety of versions, operating systems, cpu architectures, and browsers, identifying the operating environment is a key to understanding and resolving problems. Please use the hamburger menu (upper left) and select Environment. Report the browser, operating system, architecture, and the last 4 or 5 digits of the githash when submitting your issue.
5.2. Enhancements
The above tracking system will also be used to identify potential enhancements and improvements. If you have an idea for improvements, actual source code speaks louder than words. Let’s collaborate! Create a fork of the Fitplot source code, update it with your changes and issue a pull request at:
6. License
This software is governed by the following software license:
Copyright 2016 - 2019 Craig S. Prevallet Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Portions of the software embedded in this software are governed by the following software licenses:
Plotly, fit, gosqlite3, goose
The MIT License (MIT) Copyright (c) 2016 Plotly, Inc Copyright (c) 2015 Jeremy Summers Copyright (c) 20122016 Yasuhiro Matsumoto, http://mattn.kaoriya.net<EMAIL_ADDRESS>Copyright (c) <2012> <Liam Staskawicz> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Google Maps Javascript API Standard Plan
https://developers.google.com/maps/pricingand-plans/#details
Google Charts API
https://developers.google.com/terms/
Material Design Lite
Copyright 2015 Google Inc Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. All code in any directories or subdirectories that end with \*.html or \*.css is licensed under the Creative Commons Attribution International 4.0 License, which full text can be found here: https://creativecommons.org/licenses/by/4.0/legalcode. As an exception to this license, all html or css that is generated by the software at the direction of the user is copyright the user. The user has full ownership and control over such content, including whether and how they wish to license it.


{% extends "base.html" %} {% block content %}
Jorge Garcia, instructional technologist and amateur bird photographer from Chicago. {{ AUTHOR_INTRO }} To best reach me, shoot me an email at jorge@jorgegarcia.io.


Crawl log
{% for t in topics %}
{{ topics[t]['title'] }}
{% endfor %}
From date
until (hours) later
Filters
GO


Metal3 Component Overview
It is helpful to understand the high level architecture of of the Machine API Integration. Click on each step to learn more about that particular component.
The first component is the Bare Metal Actuator, which is an implementation of the Machine Actuator interface defined by the cluster-api project. This actuator reacts to changes to Machine objects and acts as a client of the BareMetalHost custom resources managed by the Bare Metal
The architecture also includes a new Bare Metal Operator, which includes the following:
A Controller for a new Custom Resource, BareMetalHost. This custom resource represents an inventory of known (configured or automatically discovered) bare metal hosts. When a Machine is created the Bare Metal Actuator will claim one of these hosts to be provisioned as a new Kubernetes node. In response to BareMetalHost updates, the controller will perform bare metal host provisioning actions as necessary to reach the desired state. The creation of the BareMetalHost inventory can be done in two ways:
- Manually via creating BareMetalHost objects.
- Optionally, automatically created via a bare metal host discovery process. For more information about Operators, see the operator-sdk.
The operator manages a set of tools for controlling the power on the host, monitoring the host status, and provisioning images to the host. These tools run inside the pod with the operator, and do not require any configuration by the user.


Live the life of a telephone operator in the mid twentieth century, connecting the calls of the residents of your small midwestern town.
Download the game here: electric-jammers.itch.io/slappin-stackers
Made for the Global Game Jam 2020 using the Godot game engine in 48 hours by:
Jam Page: globalgamejam.org/2020/games/wire-5
Source: github.com/electric-jammers/Wire


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