ChatLayout
public final class ChatLayout : UICollectionViewLayout
A collection view layout that can display items in a grid similar to UITableView
but aligning them
to the leading or trailing edge of the UICollectionView
. Helps to maintain chat like behavior by keeping
content offset from the bottom constant. Can deal with autosizing cells and supplementary views.
Custom Properties:
ChatLayout.keepContentOffsetAtBottomOnBatchUpdates
Custom Methods:
-
ChatLayout
delegate.Declaration
Swift
public weak var delegate: ChatLayoutDelegate?
-
Additional settings for
ChatLayout
.Declaration
Swift
public var settings: ChatLayoutSettings { get set }
-
Default
UIScrollView
behaviour is to keep content offset constant from the top edge. If this flag is set totrue
ChatLayout
should try to compensate batch update changes to keep the current content at the bottom of the visible part ofUICollectionView
.NB: Keep in mind that if during the batch content inset changes also (e.g. keyboard frame changes),
ChatLayout
will usually get that information after the animation starts and wont be able to compensate that change too. It should be done manually.Declaration
Swift
public var keepContentOffsetAtBottomOnBatchUpdates: Bool
-
Represent the currently visible rectangle.
Declaration
Swift
public var visibleBounds: CGRect { get }
-
Represent the rectangle where all the items are aligned.
Declaration
Swift
public var layoutFrame: CGRect { get }
-
The direction of the language you used when designing
ChatLayout
layout.Declaration
Swift
public override var developmentLayoutDirection: UIUserInterfaceLayoutDirection { get }
-
A Boolean value that indicates whether the horizontal coordinate system is automatically flipped at appropriate times.
Declaration
Swift
public override var flipsHorizontallyInOppositeLayoutDirection: Bool { get }
-
Custom layoutAttributesClass is
ChatLayoutAttributes
.Declaration
Swift
public override class var layoutAttributesClass: AnyClass { get }
-
Custom invalidationContextClass is
ChatLayoutInvalidationContext
.Declaration
Swift
public override class var invalidationContextClass: AnyClass { get }
-
The width and height of the collection view’s contents.
Declaration
Swift
public override var collectionViewContentSize: CGSize { get }
-
Default constructor.
Declaration
Swift
public init(flipsHorizontallyInOppositeLayoutDirection: Bool = true)
Parameters
flipsHorizontallyInOppositeLayoutDirection
Indicates whether the horizontal coordinate system is automatically flipped at appropriate times. In practice, this is used to support right-to-left layout.
-
Returns an object initialized from data in a given unarchiver.
Declaration
Swift
public required init?(coder aDecoder: NSCoder)
-
Get current offset of the item closest to the provided edge.
Declaration
Swift
public func getContentOffsetSnapshot(from edge: ChatLayoutPositionSnapshot.Edge) -> ChatLayoutPositionSnapshot?
Parameters
edge
The edge of the
UICollectionView
Return Value
-
Invalidates layout of the
UICollectionView
and trying to keep the offset of the item provided inChatLayoutPositionSnapshot
Declaration
Swift
public func restoreContentOffset(with snapshot: ChatLayoutPositionSnapshot)
Parameters
snapshot
-
Tells the layout object to update the current layout.
Declaration
Swift
public override func prepare()
-
Retrieves the layout attributes for all of the cells and views in the specified rectangle.
Declaration
Swift
public override func layoutAttributesForElements(in rect: CGRect) -> [UICollectionViewLayoutAttributes]?
-
Retrieves layout information for an item at the specified index path with a corresponding cell.
Declaration
Swift
public override func layoutAttributesForItem(at indexPath: IndexPath) -> UICollectionViewLayoutAttributes?
-
Retrieves the layout attributes for the specified supplementary view.
Declaration
Swift
public override func layoutAttributesForSupplementaryView(ofKind elementKind: String, at indexPath: IndexPath) -> UICollectionViewLayoutAttributes?
-
Prepares the layout object for animated changes to the view’s bounds or the insertion or deletion of items.
Declaration
Swift
public override func prepare(forAnimatedBoundsChange oldBounds: CGRect)
-
Cleans up after any animated changes to the view’s bounds or after the insertion or deletion of items.
Declaration
Swift
public override func finalizeAnimatedBoundsChange()
-
Asks the layout object if changes to a self-sizing cell require a layout update.
Declaration
Swift
public override func shouldInvalidateLayout(forPreferredLayoutAttributes preferredAttributes: UICollectionViewLayoutAttributes, withOriginalAttributes originalAttributes: UICollectionViewLayoutAttributes) -> Bool
-
Retrieves a context object that identifies the portions of the layout that should change in response to dynamic cell changes.
Declaration
Swift
public override func invalidationContext(forPreferredLayoutAttributes preferredAttributes: UICollectionViewLayoutAttributes, withOriginalAttributes originalAttributes: UICollectionViewLayoutAttributes) -> UICollectionViewLayoutInvalidationContext
-
Asks the layout object if the new bounds require a layout update.
Declaration
Swift
public override func shouldInvalidateLayout(forBoundsChange newBounds: CGRect) -> Bool
-
Retrieves a context object that defines the portions of the layout that should change when a bounds change occurs.
Declaration
Swift
public override func invalidationContext(forBoundsChange newBounds: CGRect) -> UICollectionViewLayoutInvalidationContext
-
Invalidates the current layout using the information in the provided context object.
Declaration
Swift
public override func invalidateLayout(with context: UICollectionViewLayoutInvalidationContext)
-
Invalidates the current layout and triggers a layout update.
Declaration
Swift
public override func invalidateLayout()
-
Retrieves the content offset to use after an animated layout update or change.
Declaration
Swift
public override func targetContentOffset(forProposedContentOffset proposedContentOffset: CGPoint) -> CGPoint
-
Notifies the layout object that the contents of the collection view are about to change.
Declaration
Swift
public override func prepare(forCollectionViewUpdates updateItems: [UICollectionViewUpdateItem])
-
Performs any additional animations or clean up needed during a collection view update.
Declaration
Swift
public override func finalizeCollectionViewUpdates()
-
Retrieves the starting layout information for an item being inserted into the collection view.
Declaration
Swift
public override func initialLayoutAttributesForAppearingItem(at itemIndexPath: IndexPath) -> UICollectionViewLayoutAttributes?
-
Retrieves the final layout information for an item that is about to be removed from the collection view.
Declaration
Swift
public override func finalLayoutAttributesForDisappearingItem(at itemIndexPath: IndexPath) -> UICollectionViewLayoutAttributes?
-
Retrieves the starting layout information for a supplementary view being inserted into the collection view.
Declaration
Swift
public override func initialLayoutAttributesForAppearingSupplementaryElement(ofKind elementKind: String, at elementIndexPath: IndexPath) -> UICollectionViewLayoutAttributes?
-
Retrieves the final layout information for a supplementary view that is about to be removed from the collection view.
Declaration
Swift
public override func finalLayoutAttributesForDisappearingSupplementaryElement(ofKind elementKind: String, at elementIndexPath: IndexPath) -> UICollectionViewLayoutAttributes?


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Rust is described by the developers as a language that concentrates on, amoung other things, safety and concurrency. In order to ensure safe, cocurrent computation, Rust makes use of tasks.
A Rust task is an abstraction that has its own memory space and registers, like a process, but doesn't have a processes' associated operating system cost. Tasks split computation like threads, however do not share memory, thus preventing implicit data races and other perplexing bugs that occur when multiple threads access and modify the same data.
Tasks are created using the
spawn(fn())
function, which creates a new task and executs the input function,
fn()
in that task. After the function completes, the task is terminated.
Another way to do this is with the
do
construct. The
1 | do expr { block } |
constract is syntactic sugar for
1 | expr(proc() { block }) |
so,
1 | do spawn { a; } |
is the same as:
1 | spawn(proc() { a; }) |
Note: there are plans to remove do from upcoming versions of Rust, so we don't recommend using it, but since you will see it in lots of example code still describe it here.
Here's an example program that spawns tasks:
1 2 3 4 5 6 7 8 9 10 11 | fn count(m: &str, n: int) { for i in range(1, n) { println!("{:s}{:d}", m, i); } } fn main() { spawn(proc() { count("A", 10); }); spawn(proc() { count("B", 10); }); spawn(proc() { count("C", 10); }); } |
If you try running this, you will see something like:
B1 C1 A1 C2 B2 A2 B3 ...where the events from the three tasks are interleaved. (Try changing the
println!
to a
print!
and see how that impacts the amount of interleaving you see.)
Tasks do not share memory, and each task has its own memory space. The tasks all run in the same process, though, the memory isloation is provided by the Rust compiler and run-time, not by the operating system with hardware support as is done for an OS process.
Spawning a task and then trying to access mutable variables from outside the scope of the task itself will result in a compiler error. For example,
1 2 3 4 5 6 7 | ... fn main() { let n = 10; spawn(proc() { count("A", n); }); spawn(proc() { count("B", n); }); spawn(proc() { count("C", n); }); } |
is okay since
n
is declared as immutable. But if we change the code to,
1 2 3 4 | fn main() { let mut n = 10; spawn(proc() { count("A", n); }); ... |
the compiler will disallow the code with this error:
sharing.rs:9:31: 9:32 error: mutable variables cannot be implicitly captured
sharing.rs:9 spawn(proc() { count("A", n); });
The problem is mutable data cannot be shared across tasks, since this
could lead to dangerous and difficult to find bugs. Instead, we need to make all communication between tasks explicit.
This is accomplished through the use of
Port<T>
and
Chan<T>
objects. These can be thought of as a link between a spawned task and its parent (the task which spawned it).
A Port/Chan pair is created as a tuple, as demonstrated in the code below. The type of
<T>
is unrestricted, however the
Port
and
Chan
must have matching types.
The transfer of values between tasks is accomplished with the
Chan.send(T)
function, which puts a value into the
(Port<T>, Chan<T>)
pair, and the
Port.recv()
function, which returns the value that had been sent by the
Chan
.
The following spawns a very simple task to call our
plustwo
function, and then send the result back to the parent thread.
1 2 3 4 5 6 | let (port, chan): (Port<int>, Chan<int>) = Chan::new(); spawn(proc() { let x = 10; chan.send(plustwo(x)); }); let new_x = port.recv(); // new_x == 12 |
A
(Port<T>, Chan<T>)
pair can only be sent to from a single task. Once
Chan.send(T)
has been called from a specific task, that task owns the channel. Trying to call
Chan.send(T)
from multiple tasks will result in a compile time error. Thus, to send objects back and forth between tasks, two different channels are necessary.
Recieving is synchronous. So, once
Port.recv()
has been called, the task that called it will not continue until a value is sent.
This can lead to deadlocking programs. For example, if a
Port.recv()
is waiting on a send from another task, but that other task is waiting to receive something from the original task, neither task can make progress.
To put everything together, we modify the mapping code from the last part to update each element in a separate task. If the computation needed to produce each new value is expensive, this will potentially divide the mapping time by the number of cores available (with some overhead for spawning the tasks and the communication channels).
Try running the code below, and see if you can figure out why the order of the statements in the mapr function matters.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | type LinkedList = Option<~Node>; struct Node { val: int, tail: LinkedList } fn construct_list(n: int, x: int) -> LinkedList { match n { 0 => { None } _ => { Some(~Node{val: x, tail: construct_list(n - 1, x + 1)}) } } } fn print_list(p: LinkedList) -> ~str { match p { None => { ~"" } Some(node) => { node.val.to_str() + ", " + print_list(node.tail) } } } trait Map { fn mapr(&mut self, fn(int) -> int); } impl Map for LinkedList { fn mapr(&mut self, f: fn(int) -> int) { match(*self) { None => { } Some(ref mut current) => { let (port, chan) : (Port<int>, Chan<int>) = Chan::new(); let val = current.val; // Can't capture current spawn(proc() { chan.send(f(val)); }); current.tail.mapr(f); // why here? current.val = port.recv(); } } } } fn expensive_inc(n: int) -> int { let mut a = 1; println!("starting inc: {:d}", n); for _ in range(0, 10000) { for _ in range(0, 1000000) { a = a + 1; } } println!("finished inc: {:d} ({:d})", n, a); n + 1 } fn main() { let mut p : LinkedList = construct_list(5, 10); p.mapr(expensive_inc); println!("List: {:s}", print_list(p.clone())); } |


The Modular Open Sim Button Box is a customizable buttons box based on a Teensy 3.2 running Arduino compatible code. The button box supports a basic layout with 17 buttons and 3 rotary encoders or an advanced layout with support for up to 32 buttons and 3 rotary encoders.
This project provides 3D printable models for the enclosure but you may also use the main board with any other box.


Click here to download the dataset as a CSV from Data.World
Click here to download the dataset as a Hyper Extract from Data.World
Historical Background
I recently read that in 2019, the Ozone Hole was one of the smallest on record. Peaking at only 9.3 million square miles in 2019, this is the smallest since the early 1980's. That's great news, but what is the Ozone Hole and why does it matter?
The Ozone Hols is a seasonal depletion of the Ozone Layer - a protective layer of the atmosphere that is vital in protecting the Earth from the bulk of the Sun's ultraviolet radiation. The hole forms in the Southern Hemisphere, over Antarctica, during the Southern Hemisphere Spring. Chemical reactions driven by Bromine and Chlorine (coming from CFC's) cause the rapid degredation of the Ozone layer, with the hole peaking in late September or early October.
Efforts have been in place since 1979 to monitor the size of the hole, but was actually discovered in the early 1900's when explorers noticed unusual clouds in the Antarctic Stratosphere. The British Antarctic Survey began measuring the amount of Ozone (in Dobson Units) beginning in 1956.
The Ozone is vital in protecting us from the harmful UV radiation that can lead to sunburns, skin cancer, cataracts and more health issues. Global legislation has been put in place to limit CFC emissions. The US enacted its first legislation aimed at limiting CFCs in 1978 - a year before NASA began monitoring the Ozone Hole. Check out this link from the EPA on how we're taking steps to protect the Ozone Layer.
Our data set this month looks at the size of the Ozone Hole from 1979 through 2019. This is an incredibly simple dataset, but could be made really interesting with some supplemental data... We'd really love to see what you can do with this month's dataset! Download the data and see what you can visualize. Create your viz and post your work to Tableau Public and Twitter with the hashtag #ThrowbackDataThursday, tagging @TThrowbackThurs. We'll feature community vizzes throughout the month!
Data Source
This month's data comes from the NASA Ozone Watch website. Please cite this source on your viz.


[§124A-133] Noncompliance with procedural rules. Any person subject to this chapter who:
(1) Is responsible for unnecessary delay in the disposition of any case of a person accused of an offense under this chapter; or
(2) Knowingly and intentionally fails to enforce or comply with any provision of this chapter regulating the proceedings before, during, or after trial of an accused;
shall be punished as a court-martial may direct. [L 1982, c 171, pt of §2]


Full Stack JavaScript School of Applied Technology, Stockholm, Sweden
(April 2019 - July 2019)
Highly paced and very intense training program for full stack developers.
Master of Business Administration (Executive Program) East West University, Dhaka, Bangladesh
(April, 2013)
Major in Marketing
Bachelor of Business Administration (BBA) North South University, Dhaka, Bangladesh
(August, 2007)
Major in Financial Accounting & Marketing
SFEJ-Intensive Swedish for economists and lawyers and other social scientists SIFA-Stockholms intensivsvenska för akademiker, Stockholm, Sweden
(August 2013 – July 2015)
Completed level: Svenska som andraspråk 3 (equivalent to Svenska C)
Employment
FULL-STACK JAVASCRIPT DEVELOPER School of Applied Technology , Stockholm (Sweden)
Duration: Sept 2019 – Feb 2020
- Worked for internal full stack project with Node.js, express, React and PostgreSQL.
Native language teacher in Bengali Elma School AB & Västerholms Friskola AB
Duration: August, 2015 – July, 2016
- Taught Bengali as a native language from grade 1 to grade 9.
Part-time translator Truecaller, Stockholm, Sweden
Duration: November, 2013 – November, 2017
- Translated application text from English to Bengali according to specifications.
Coordinator & Account Manager Grameenphone Limited, Dhaka, Bangladesh
Duration: May, 2007 – March, 2013
- Coordinated management team and provided logistics support.
- Met assigned targets for profitable sales volume in assigned accounts.


HTML Table Generator Tool
Use this tool to generate an HTML table code for your website or blog. Its simple, fast and free!
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Copy the code and paste it in your website. You can test the HTML table code using our HTML Editor.
The HTML table generator tool, allows you to generate an HTML table code and a CSS code for your website or blog. It saves time. You can simply choose a Theme from the theme option or design the table of your choice using other options. Once you are done, copy the code and paste it in your website or blog.
Place the HTML table code inside the <body> section of your document. See this example here. Place the <style> tag and its contents inside the <head> section. Alternatively, you can keep the style in a separate CSS file.
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This beautiful folding paduak timepiece was comissioned by an unnamed Georgia Tech student in Spring 2017. The three folding sections of the timepiece were all cut from the same piece of paduak. Indentations were made for both inserts and photographs. Rounded plexiglass covers the photographs. The paduak pieces were lacquered, and then hinged together for the final product.
Estimated Building Cost: $90.00


Hang on to the rod!" said Bess, as the bobsled sped along the run. Bess sat at the tip of the sled. Bud sat at the back. They had to hang on to the rod to sit in the fast bobsled as it sped. They hung on. The sled sped past a hill. Bud held on well. He said, "Can we stop this bucket of bolts?"
in-context


Create a Controller
Input Device
Supported Input Devices:
Keyboards, Gamepads
Note: You will likely need to press
a button on the gamepad before it shows up on the
input device list.
Control Mapping
| Left Stick | W A S D |
| Left Stick Press | T |
| Right Stick | Arrow Keys |
| Right Stick Press | Y |
| Dpad | G V B N |
| Home & Capture | [ & ] |
| Plus & Minus | 6 & 7 |
| A B X Y | L K I J |
| L & ZL | 1 & 2 |
| R & ZR | 8 & 9 |
Gamepad controls should match the Nintendo Switch Pro Controller to some degree in a physical manner. Please consult the gamepad display above to see which buttons are actuating.
Future plans include enabling key remapping. In the meantime, I apologize for any inconvience!
Controller Commands
Controller Macro
Note: the main input device will override a running macro.


Expectation-Maximization
The algorithm
Often we have to deal with hidden variables in machine learning problems. The maximum-likelihood algorithm requires “integrating” over these hidden variables if we want to compare with the observed distribution. However this can lead to a serious problem since we have to deal with sums inside the logarithms. That is, we are instructed to maximize the log-likelihood quantity
\[\sum_i\ln p(x_i)=\sum_i\ln\Big( \sum_h p(x_i,h)\Big)\]where $h$ is the hidden variable and $x_i$ is the observed one. Except for simple problems, having two sums turns the problem computationally infeasible, especially if the hidden variable is continuous. To deal with this issue we use the concavity property of the logarithm to approximate
\[\ln\Big( \sum_h p(x_i,h)\Big)=\ln\Big( \sum_h q(h)\frac{p(x_i,h)}{q(h)}\Big)\geq \sum_hq(h)\ln\Big(\frac{p(x_i,h)}{q(h)}\Big)\]where $q(h)$, that we will want to fix, obeys $\sum_h q(h)=1$. Further we write
\[\ln \sum_h p(x_i,h)=\sum_hq(h)\ln\Big(\frac{p(x_i,h)}{q(h)}\Big)+R_i\]where the remaining $R_i$ is given by
\[R_i=-\sum_h q(h)\ln\Big(\frac{p(h|x_i)}{q(h)}\Big)=KL(p(h|x_i)||q(h))\]which is the Kullback-Leibler divergence. Since $R_i\geq 0$ by definition, we have that
\[\ln p(x_i|\theta)\geq \langle \ln p(x_i,h|\theta)\rangle_{q(h)}-\langle \ln q(h)\rangle_{q(h)}\]where we have introduced prior parameters $\theta$, without lack of generality. The lower bound, the KL divergence, is saturated provided we choose
\[\text{E-step:}\quad q(h_i)=p(h_i|x_i,\theta_0)\]which is known as the expectation E-step. Note that we have a distribution $q(h_i)$ for each sample, and as a function of $x_i,\theta_0$. However, this step does not solve the maximum-likelihood problem because we still have to find the parameter $\theta$. What we do next is to maximize the lower bound by choosing $\theta$ keeping $q(h)$ fixed, that is,
\[\text{M-step:}\quad \frac{\partial}{\partial \theta}\langle \ln p(x_i,h|\theta)\rangle_{q(h|\theta_0)}=0\]One can show that EM algorithm increases the log-likelihood. Consider the sequence $\theta_0,\ldots,\theta_j,\theta_{j+1},\ldots$. The log-likelihood at step $\theta_{j+1}$ is
\[\ln p(x|\theta_{j+1})=\langle \ln p(x_i,h|\theta_{j+1})\rangle_{p(h|x,\theta_j)}-\langle \ln p(h|x,\theta_j)\rangle_{p(h|x,\theta_j)}+KL(p(h|x,\theta_{j+1})||p(h|x,\theta_j))\]Thus for $\theta_{j+1}\rightarrow \theta_j$ we have:
\[\ln p(x|\theta_j)=\langle \ln p(x_i,h|\theta_j)\rangle_{p(h|x,\theta_j)}-\langle \ln p(h|x,\theta_j)\rangle_{p(h|x,\theta_j)}+KL(p(h|x,\theta_j)||p(h|x,\theta_j))\]since the last term (KL divergence) vanishes, the difference in log-likelihood is:
\[\begin{equation*}\begin{split}&\ln p(x|\theta_{j+1})-\ln p(x|\theta_j)=\\ &=\langle \ln p(x_i,h|\theta_{j+1})\rangle_{p(h|x,\theta_j)}-\langle \ln p(x_i,h|\theta_j)\rangle_{p(h|x,\theta_j)}+KL(p(h|x,\theta_{j+1})||p(h|x,\theta_j))\end{split}\end{equation*}\]The KL term is always positive, while $\langle \ln p(x_i,h|\theta_{j+1})\rangle_{p(h|x,\theta_j)}-\langle \ln p(x_i,h|\theta_j)\rangle_{p(h|x,\theta_j)}$ is the quantity we maximize in the M-step. Therefore the term $\ln p(x|\theta)$ is increasing during the EM algorithm.
Gaussian Mixture Model
Lets take an example that can help clarify some of these ideas. Consider the model which is a mixture of two normal distributions:
\[p(x,c)=\phi(x|\mu_c,\sigma_c)\pi_c,\quad c=0,1\]where $\phi(x|\mu,\sigma)$ is a normal distribution with mean $\mu$ and variance $\sigma$, and $\pi_c=p(c)$ with $\pi_0+\pi_1=1$. In this example $\theta\equiv \mu,\sigma$, and the hidden variable is $h\equiv c$.
In the E-step we calculate:
\[\text{E-step:}\quad q(h)=p(h|x,\mu_h,\sigma_h)=\frac{\phi(x|\mu_h,\sigma_h)\pi_h}{\sum_c \phi(x|\mu_c,\sigma_c)\pi_c}\]We write $q(h_i=0)=\gamma_i(x_i)$ and $q(h_i=1)=1-\gamma_i(x_i)$ for each sample $x_i$, with $\gamma$ given by the ratio above. The initial parameters $\mu,\sigma$ are arbitrary.
The maximization step consists in maximizing the lower bound of the log-likelihood, hence
\[\begin{equation*}\begin{split}\text{M-step:}\quad &\gamma\ln p(x,h=0|\mu,\sigma)+(1-\gamma)\ln p(x,h=1|\mu,\sigma)\\ =&\gamma \ln \phi(x|\mu_0,\sigma_0)+(1-\gamma)\ln \phi(x|\mu_1,\sigma_1)-\gamma\frac{1}{2}\ln\sigma_0-(1-\gamma)\frac{1}{2}\ln\sigma_1+\ldots\\ =& -\gamma \frac{(x-\mu_0)^2}{2\sigma_0^2}-(1-\gamma) \frac{(x-\mu_1)^2}{2\sigma_1^2}-\gamma\frac{1}{2}\ln\sigma_0-(1-\gamma)\frac{1}{2}\ln\sigma_1+\ldots\end{split}\end{equation*}\]where $\ldots$ do not depend on $\mu,\sigma$. We need to sum over all samples, so the maximum is calculated
\[\mu_0=\frac{\sum_i x_i\gamma_i}{\sum_i \gamma_i},\;\mu_1=\frac{\sum_i x_i(1-\gamma_i)}{\sum_i (1-\gamma_i)}\]and
\[\sigma_0=\frac{\sum_i\gamma_i(x_i-\mu_0)^2}{\sum_i\gamma_i},\quad \sigma_1=\frac{\sum_i(1-\gamma_i)(x_i-\mu_1)^2}{\sum_i(1-\gamma_i)}\]Maximizing relatively to the probabilities $\pi$ gives
\[\pi_0=\frac{1}{n}\sum_i\gamma_i,\;\pi_1=1-\pi_0\]


Department of Advanced Science and Technology
University of Computer Studies
B.C.Sc/B.C.Tech. ( Third Year)
Computer Organization
Final Examination
Operating System(CST-301)
September, 2015
Zone III
Answer ALL Questions
Time allowed 3hours.
| Process Names | Arrival Time | Service Time(T3) | Start Tiem | Finish Time | Turnaround Time(Tt) | Tt/T2 |
| P | 0 | 3 | ||||
| Q | 2 | 4 | ||||
| R | 2 | 4 | ||||
| S | 6 | 6 | ||||
| T | 8 | 5 |


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Ocala events
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montana resorts for sale
Vidalia Onion and Lump Blue Crab Salad Recipe : : Recipes : Food ...
In a large bowl, whisk together the vinegar, sugar, salt, and pepper. Add the Vidalia onion and cucumber. Marinate for 1 to 2 hours at room temperature.
http://www.foodnetwork.com/recipes/vidalia-onion-and-lump-blue-crab-salad-recipe/index.htmlvirginia,brand,salad,dressing,vidalia,onion,vinegarette - Calorie Count
Curious about how many calories are in Salad Dressing, Vidalia Onion Vinegarette? . Vinegar and Vinaigrette Dressing. < > . Manufactured by Virginia Brand .
http://caloriecount.about.com/calories-virginia-brand-salad-dressing-i210911
busch gardens and orlando and florida Upcoming events in Ocala
kentucky public records outstanding warrants Hottest Tickets
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Apr 1123 inch kds monitor
Amway Center -
Apr 28bold fresh movie tour
Amway Center -
Jun 25free stain glass snowflake patterns
Bob Carr Performing Arts Center -
Mar 30homes to sit in caribbean
Amway Center -
Aug 27secret to playing double twelve dominoes
Amway Center -
Jun 21paul newman spaghetti sauce
Amway Center -
Sep 13forest suites resort lake tahoe
Francis Field -
Mar 17dieque 2008 phpbb group
St Augustine Amphitheatre -
Oct 8cramer family of monroe county pa
Amway Center -
May 4fire a 50 caliber
Bob Carr Performing Arts Center
Ocala's best venues
-
Virginia Brand Vidalia Onion Vinegarette - 24 oz. - 2 ct. - Sam's Club
Liven up your salads dips and marinades with this Virginia Brand Vidalia Onion . Great for dressing, dips and marinades; Naturally gluten free; Recipes . distilled vinegar, vidalia onions (5%), mustard (vinegar, water, mustard seed, salt, .
http://www.samsclub.com/sams/virginia-brand-vidalia-onion-vinegarette-2-24-oz/prod1420010.ip -
Scene - Blogs - If your salad dressing does NOT taste like grass ...
Oct 2, 2012 . Whatever, who has a yummy, homemade salad dressing recipe they'd like to . Virginia Brands Vadalia Onion Rasberry Vinaigrette is good.
http://www.tulsaworld.com/blogs/default.aspx/17191 -
Calories in 1/4 cup of Vinegar and Nutrition Facts
Oil and Vinegar Salad Dressing (Home Recipe) · Vinegar, Sugar and Water Dressing · Virginia Brand Vidalia Onion Vinegarette Salad Dressing · Golding Farms .
http://www.fatsecret.com/calories-nutrition/usda/vinegar?portionid=29666&portionamount=0.250boone and crocket score sheet
98 people's favorite
-
Which is the Best Brand of Salad Dressing? - Yahoo! Voices - voices ...
May 15, 2007 . and brand varied from person to person. . The choice of dressing brand was much less decisive. . Balsamic Vinaigrette and Organic Balsamic Vinaigrette (2 stars) . Lite Sweet Vidalia Onion (3 stars) . Family Recipe Italian (4 stars) . VirginiaThis article reviews the Newport News, Virginia restaurant .
http://voices.yahoo.com/which-best-brand-salad-dressing-341176.html -
Calories in 2 tbsps of Vinegar and Nutrition Facts
Oil and Vinegar Salad Dressing (Home Recipe) · Vinegar, Sugar and Water Dressing · Virginia Brand Vidalia Onion Vinegarette Salad Dressing · Golding Farms .
http://www.fatsecret.com/calories-nutrition/usda/vinegar?portionid=29667&portionamount=2.000


*Please remember to add a 'Telephone' question to this
form.
Number is larger than the max value of
{{block.content.range.max}}
Number is smaller than the min value of
{{block.content.range.min}}
This question must be shown for all registrant types.
Question Rules are a great way to show questionsor force selectionsbased on the registrant's answers to other questions.Question Rules can depend on questions ofthese typesthat are above this question.


Alex Ferguson Once Said Phil Jones Could Be United's Greatest Ever Player
by Gary ConnaughtonIf there was one thing to take away from Manchester United's 3-3 draw at Sheffield United, it's that Phil Jones isn't up to playing at that level anymore.
The defender had an absolute howler. He looked like a one man wrecking ball but not in a good way. The player seemed to fall over more than he managed to stay on his feet, nearly giving away a penalty on one occasion.
He was hauled off at halftime, something that came as a surprise to nobody.
Jones has been largely frozen out by Ole Gunnar Solskjaer this season, with Harry Maguire and Victor Lindelof his preferred partnership at the back. Eric Bailly would also be ahead of him if not for injury and Axel Tuanzebe at times as well.
He got an opportunity yesterday when his side switched to three at the back, but you suspect it could his last one for a while.
At 27-years old his time at the club is surely coming to an end. Considering the expectations placed on him after his arrival at Old Trafford, this is some fall from grace.
United forked out £16million for Jones in 2011, a sizeable fee at the time. They beat out competition from Liverpool for his signature. Alex Ferguson expected big things from him, saying at the time that he could go on to become the club's greatest ever player:
Jones, arguably the way he is looking, could be our best ever player. I think Jones may be one of the best players we have ever had, not matter where we play him.
At 21 years of age, he is going to be a phenomenal player. I think he can play anywhere on the pitch.
He has such a massive influence, with his instinct and reading of the game. He has a drive about him.
Safe to say it hasn't worked out that way. The fact he has managed to stay at Old Trafford for oveeight years points to the issues at the club.


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def | __init__ (self, zoom=1.0, frameTime=0.0, capture=False) |
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def | initialize (self, state, isBlue=False) |
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def | startGraphics (self, state) |
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def | drawDistributions (self, state) |
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def | drawStaticObjects (self, state) |
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def | drawAgentObjects (self, state) |
| |
| def | swapImages (self, agentIndex, newState) |
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def | update (self, newState) |
| |
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def | make_window (self, width, height) |
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def | drawPacman (self, pacman, index) |
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def | getEndpoints (self, direction, position=(0, 0)) |
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def | movePacman (self, position, direction, image) |
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def | animatePacman (self, pacman, prevPacman, image) |
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def | getGhostColor (self, ghost, ghostIndex) |
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def | drawGhost (self, ghost, agentIndex) |
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def | moveEyes (self, pos, dir, eyes) |
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def | moveGhost (self, ghost, ghostIndex, prevGhost, ghostImageParts) |
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def | getPosition (self, agentState) |
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def | getDirection (self, agentState) |
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def | finish (self) |
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def | to_screen (self, point) |
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def | to_screen2 (self, point) |
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def | drawWalls (self, wallMatrix) |
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def | isWall (self, x, y, walls) |
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def | drawFood (self, foodMatrix) |
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def | drawCapsules (self, capsules) |
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def | removeFood (self, cell, foodImages) |
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def | removeCapsule (self, cell, capsuleImages) |
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| def | drawExpandedCells (self, cells) |
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def | clearExpandedCells (self) |
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def | updateDistributions (self, distributions) |
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BounCA is a web-gui based X509.v3 certificates management tool
Set up Your Personal Key Infrastructure in less than 60 minutes
BounCA is a web-gui based X509.v3 certificates management tool
Set up Your Personal Key Infrastructure in less than 60 minutes
BounCA is a web-application. Don't hassle anymore with OpenSSL. Let you guide by the easy user interface and create your trusted encrypted communication network with your peers in a couple of minutes. Create a PKI, sign and revoke server and client X.509 v3 SSL certificates. With BounCA you can secure your web applications and OpenVPN connections without passwords, and secure access to your private cloud services with own HTTPS scheme. BounCA offers a REST-api for certificate generation, create a provisioning service for your Internet of Things devices was never so easy.
BounCA lets you create root certificate authorities, create intermediate certificates and client, server certificates in an easy web application. Export your keys as PEMs, PKCS12 files for your mail clients, and web servers such as NGINX and Apache.
BounCA is a web based tool. Within your favorite browser, you will have a clear overview of outstanding certificates, and the ability to revoke them within one mouse click. Keep also track of the expiration of certificates by importing the expiry date in your calendar.
With BounCA, you can access your CA via a web browser, RESTful API and it is also possible to export your PKI with command line scripts. Manage the authentication of your Internet of Things (IoT) devices and Hook BounCA to your deployment system to generate client and server certificates on the fly.
BounCA is open source. It's hosted, developed, and maintained on GitLab.
View the GitLab projectDon't want to host it yourself. BounCA is also available as a service.
BounCA cloudDownload BounCA and Create your Root Certificate, create one or more Intermediate Certificates and create server and client certificates.
Key based authentication provides you a couple of interesting advantages
Use cases for a key based authentication infrastructure are


Paragraph
To determine if the conditions are met, ask the following questions:
- Is it possible to draw a geographically compact district that includes the majority of the racial or language minority’s members?
- Does the racial or language minority tend to vote as a bloc and back the same preferred candidate?
- Does the remaining population also generally vote as a bloc and in doing so defeat the candidate backed by the racial or language minority?
Satisfying the first of the Gingles criteria requires analyzing maps and demographic data, and determining if racially polarized voting exists requires the use of statistics. In this section, we follow an approach similar to that outlined in [1.12.14].
in-context


July 2022 - Present
Building Coinbase Cloud, the AWS of crypto 😃
May 2021 - Sep 2021
Backend engineer, built mailer system to handle payment related incidents.
Sept 2020 - Dec 2020
Backend engineer, built A/B testing framework for retail point of sales.
Apr 2020 - Sept 2020
Scaled decentralized video platform to 250k users, acquired at 19 years old.
Jan 2020 - Apr 2020
Built decentralized health passport powered entirely by blockchain.
May 2019 - Aug 2019
Created new machine learning platform to extract market data from news articles.
Jan 2019 - Apr 2019
Led backend development of low-latency vehicle systems and infrastructure.


We all think that health issues and problems in life, happen to others and we are immune to these issues. While this is hopeful thinking, in reality, health issues can occur due to wrong choices made. For instance, wearing the wrong type of bra can lead to your spinal column getting pressurized which can in turn to a deformed spine in bad cases, along with a bad posture; trouble while walking and other inconvenient health issues…
Aiming to Look Shapelier by Wearing Smaller Sized Bras- This can actually work out in the exact opposite way especially inadequately sized bras are worn for an extended period of time. Wearing the wrong sized bra can put extreme pressure on both your spinal cord and nerves which can lead to aches, pains, a bad posture and most importantly the feeling of uneasiness and significant discomfort. Understanding that your body and your health depend on the size of the bra you wear are crucial steps to living healthier and heartier…
Choices and more choices, our lives are comprised of an endless series of choices, where do we shop, where do we eat, what do we buy and how do we spend our income! When it comes to closet needs like bra shopping and panty shopping, women tend to want what's good for them and their sense of style as well…
Does this seem too good to be true? Well, brace yourself as this is now possible! With the increasing need that women have to feel pretty and comfortable at the same time, Wunderfit has launched a line of comfortable yet aesthetically pleasing products for real women. Wunderfit is a direct manufacturer and we have the choice to get our design team to work on products based on the end user's precise requirements.
 We as a business understand that women are special and they have certain needs that may not be fulfilled in the current market. This is the primary reason we have introduced four products for women putting in long hours of work either at home or at the office…


Calculating Distances¶
-
distance.
distance_between_categories
(features)¶ Calculates the distance between all the categories for every feature.
- Parameters
features (dictionary) – a dictionary of features with keys as feature name and values as objects of feature class
- Returns
features – a dictionary of features with keys as feature name and values as objects of feature class with updated distance values
- Return type
dictionary
-
distance.
distance_between_individuals
(data, features)¶ Calculates the distance between individuals of a population
- Parameters
df (panda dataframe) –
- the dataset of the population in the format:
- Feedback | Color | Hobby
Person A | Poor | Red | Football
features (dictionary) – a dictionary of features with keys as feature name and values as objects of feature class.
- Returns
dist_mat – a list of lists representing the pairwise distance matrix of the individuals
- Return type
list


Paralympics: Australian cycling champion Modra killed in road collision
(Reuters) - Five-time Paralympic gold medalist Kieran Modra has died after being hit by a car while riding his bike north of Adelaide on Wednesday.
The 47-year-old, who was visually impaired, collided with a car that was traveling in the same direction on a road near the town of Gawler, South Australia, local media reported.
“We are very saddened to hear of the passing of long-time supporter and friend of the RSB, Kieran Modra, in a cycling accident on Wednesday morning,” Australia’s Royal Society for the Blind said in a Facebook post.
“Our thoughts and condolences are with his wife Kerry and the Modra family at this difficult time.”
Modra, a swimmer and tandem cyclist, claimed five gold and five bronze medals at eight Paralympic Games between 1988 and 2016, along with two silver medals at the 2014 Commonwealth Games in Glasgow.


procedure GetViewportShift(var ShiftX, ShiftY: Single);
Returns the X and Y shift of the viewport.
Note: If you previously used CoordXForm property (now removed), use GetViewportShift instead to retrieve the viewport shift.
[See also]: Using Layers


--- redirect_from: - /ru/CygwinStartDir.html - /en/CygwinWorkDir.html - /ru/CygwinWorkDir.html title: "ConEmu | Cygwin Startup Directory" ---
One of the most asked questions about cygwin using - how to run its shell in the specified working directory.
Finally, thanks to csbdess, Issue1552 #15, the problem was identified.
Cygwin always do ‘cd "${HOME}"
’ from /etc/profile
.
# Make sure we start in home unless invoked by CHERE if [ ! -z "${CHERE_INVOKING}" ]; then unset CHERE_INVOKING else cd "${HOME}" || echo "WARNING: Failed attempt to cd into ${HOME}!" fi
So, if you do not like that behaviour, read below for solutions.
Note. MinGW (at least version installed on my PC) does not have checking for CHERE_INVOKING
environment variable. There is just cd "$HOME"
at the end of /MinGW/msys/1.0/etc/profile
. You may change that file yourself to get the same checks as cygwin.
Cygwin will not do ‘cd "${HOME}"
’ if environment variable CHERE_INVOKING
is defined. So, if you run your shell (bash) as following, shell will be started in proper working directory.
set CHERE_INVOKING=1 & c:\cygwin\bin\sh.exe --login -i
Thought, you can, but must not change the contents of your /etc/profile
commenting ‘cd "${HOME}"
’... Because you can change cygwin behaviour within ConEmu tasks or command line.
Another workaround - do cd
to the working folder in your shell profile (.bashrc
, .zshrc
, etc.)
if [ -n "${ConEmuWorkDir}" ]; then cd "$ConEmuWorkDir" fi
ConEmu set ConEmuWorkDir
to the console startup directory, so you may use it in your scripts. Read more about ConEmuEnvironment in wiki.
Not related to working directory and ConEmu, actually, but let it be here.
If you want to remove annoying /cygdrive
, just replace one line in your /etc/fstab
.
#none /cygdrive cygdrive binary,posix=0,user 0 0 none / cygdrive binary 0 0


Joel Brisbin Chapter 18 Networks Programming Assignments
Type in the first number of your IP Address:
Type in the second number of your IP Address:
Type in the third number of your IP Address:
Type in the fourth number of your IP Address:
Select the Notation You're Inputting
Binary Notation
Decimal Notation
Hexadecimal Notation
Select the Notation You're Outputting
Binary Notation
Decimal Notation
Hexadecimal Notation
Enter The Prefix Length:
First Address:
Last Address:


Bond Yield Calculator (Manual)
Currency
BondType
Coupon Freq
Day Cnt Cnv
Coupon
Maturity
Issue date
Settlement Dt
First Cpn Dt
Last Cpn Dt
Accr. Interest
Key Rate Dur.
Calc@Price
1%-Yield
1%+Yield
Price
Current Yield
Yield To Mat.
Macaulay Dur.
Modified Dur.
Effective Dur.
Convexity
$ Convexity
Price Val. BP
Yield Val. PP
Ticker
Coupon
Maturity
OR Cusip
×
Ticker
Name
Coupon
Maturity
Cusip


Before Change
def settings(self):
"""The settings as saved and loaded from the pipeline"""
return reduce(lambda x,y: x+y,
[x.settings() for x in self.images])
def visible_settings(self):
"""The settings as seen by the user"""
return (reduce(lambda x,y: x+y,
After Change
self.images.append(group)
def settings(self):
result = []
for image in self.images:
result += [image.image_name, image.wants_objects, image.object_name]
return result
def visible_settings(self):
result = [self.divider_top]


HealthGateway Terms of Service
Use of the Health Gateway service (the “Service”) is governed by the following terms and conditions. Please read these terms and conditions carefully, as by using the Service you will be deemed to have agreed to them. If you do not agree with these terms and conditions, please do not use the Service.
1. The Health Gateway Service
The Service provides residents of British Columbia with access to their health information ("Health Information"). It allows users to, in one place, view their Health Information from various Provincial health information systems, empowering patients and their families to manage their health care.2. Your use of the Service
You may only access your own Health Information using the Service.
If you choose to share the Health Information accessed through this Service with others (e.g. with a family member or caregiver), you are responsible for all the actions they take with respect to the use of your Health Information.
You must follow any additional terms and conditions made available to you in relation to the Service.
Do not misuse the Service, for example by trying to access or use it using a method other than the interface and instructions we provide. You may use the Service only as permitted by law. We may suspend or stop providing the Service to you if you do not comply with these terms and conditions, or if we are investigating a suspected misuse of the Service.
Using the Service does not give you ownership of any intellectual property rights in the Service or the content you access. Don’t remove, obscure, or alter any legal notices displayed in connection with the Service.
We may stop providing the Service to you, or may add or create new limits on the Service, for any reason and at any time.
3. Service is not a comprehensive health record or medical advice
The Health Information accessed through this Service is not a comprehensive record of your health care in BC.
This Service is not intended to provide you with medical advice or replace the care provided by qualified health care professionals. If you have questions or concerns about your health, please contact your care provider.
4. Privacy Notice
The personal information you provide the Service (Name and Email) will be used for the purpose of connecting your Health Gateway account to your BC Services Card account under the authority of section 26(c) of the Freedom of Information and Protection of Privacy Act. Once your BC Services Card is verified by the Service, you will be able to view your Health Information using the Service. The Service’s collection of your personal information is under the authority of section 26(c) of the Freedom of Information and Protection of Privacy Act.
The Service’s notes feature allows you to enter your own notes to provide more information related to your health care. Use of this feature is entirely voluntary. Any notes will be stored in the Health Gateway in perpetuity, or until you choose to delete your account or remove specific notes. Any notes that you create can only be accessed by you securely using your BC Services Card.
If you have any questions about our collection or use of personal information, please direct your inquiries to the Health Gateway team:
5. Warranty Disclaimer
The Service and all of the information it contains are provided " as is" without warranty of any kind, whether express or implied. All implied warranties, including, without limitation, implied warranties of merchantability, fitness for a particular purpose, and non-infringement, are hereby expressly disclaimed.
6. Limitation of Liabilities
Under no circumstances will the Government of British Columbia be liable to any person or business entity for any direct, indirect, special, incidental, consequential, or other damages based on any use of the Service or any website or system to which this Service may be linked, including, without limitation, any lost profits, business interruption, or loss of programs or information, even if the Government of British Columbia has been specifically advised of the possibility of such damages.
7. About these Terms and Conditions
We may modify these terms and conditions, or any additional terms and conditions that apply to the Service, at any time, for example to reflect changes to the law or changes to the Service. You should review these terms and conditions regularly. Changes to these terms and conditions will be effective immediately after they are posted. If you do not agree to any changes to these terms, you should discontinue your use of the Service immediately. If there is any conflict between these terms and conditions and any additional terms and conditions, the additional terms and conditions will prevail. These terms and conditions are governed by and to be construed in accordance with the laws of British Columbia and the federal laws of Canada applicable therein.


[gecode-users] Advisors versus propagation conditions
Chris Mears
chris.mears at monash.edu
Thu Oct 7 02:36:08 CEST 2010
Thanks, Mikael, that advice is exactly what I needed (and thanks
Christian for adding it to MPG).
More information about the users
mailing list


cordova-build -mode:all
Options
This mode combines all the other modes (Server, Agent, Client) and therefore supports all of their options.
cordova-build -mode:all
This mode combines all the other modes (Server, Agent, Client) and therefore supports all of their options.


Demonstrates the dynamic measure control to measure and see measurements beside the cursor.
View the measure-dynamic.js source to see how this is done.


The Intertidal Extents Model (ITEM v1.0) product is a national scale gridded dataset characterising the spatial extents of the exposed intertidal zone, at intervals of the observed tidal range. It demonstrates the potential of the Australian Geoscience Data Cube to use satellite imagery to model the continental scale extent and elevation profile of the intertidal zone. The current version utilises 201,964 Landsat observations for Australian coastal regions (excluding off-shore Territories) between 1987 and 2015 (inclusive).
The model can assist in understanding the extents and relative elevation profile of the intertidal zone, delineating exposed areas at differing tidal heights and stages. Examples of where this knowledge can contribute include environmental monitoring applications for migratory bird species, habitat mapping in coastal regions, hydrodynamic modelling, and geomorphological studies of features in the intertidal zone.
The Confidence Model layer is designed to highlight regions where changes over the time series do not correspond to the modelled tidal information. This layer acts as a quality assessment of the Relative Extents Model, and can also be used as an indicator of coastal change and/or instability.
Sagar, S., Roberts, D., Bala, B., Lymburner, L., 2017. Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations. Remote Sensing of Environment 195, 153–169.


Hello and welcome to Plain version 1.0. This is a simple web site template maximising the use of css and xhtml. Whitespace is used in abundance to really push its importance in web design. Navigate the page via the menu at the top of the page, or the links underneath this paragraph.
Introduction
Hello and welcome to Plain 1.0. As mentioned earlier this is a fairly simple template, powered entirely by css and xhtml. I am also trying to make as much use of whitespace as possible. Whitespace helps keep the page looking clean and easy on the eye, whilst improving readability also. As with all my templates, a limited number of images have been used, and when they have, they've been to aid the design. This results in an easily customisable template that can be used to an array of different sites.
CSS & XHTML
As anyone looking for a website template to use would expect - this template is of course, both CSS and XHTML valid according to the w3c. The benfits of this include;
- The website rendering correctly in a wide range of browser platforms
- Since CSS is used to maximise the aesthetics of the website the load times are extremely low making for an extremely accessable website.
- Low use of images saves bandwidth and improves load times
For more information regarding this, and lots of other usefull web design related stuff, follow this link.
About the Author
Hi there. My names Jay and I'm an 18 Year old web designer from the United Kingdom. My company; Six Shooter Media provides a wide range of web design possibilities to a wide range of clients. I specialise in CSS and XHTML coding but can also install and modify PHP scripts such as Counters and Content Management Systems.
I also run my own personal website, which I use as a blog, a place to upload my photographs/drawings, do a bit of writing, and post news about my web design capers now and again. Along side this website, I've just opened another website which I use to host my templates and write tutorials for web design beginners. This can be found here.
I make these web templates in my spare time as a kind of hobby, plus I like 'giving something back' to the web design community. Feel free to download and use this template as you wish - for you site or just for education purposes, but please leave the link to my website in at the bottom of the page, thanks.


The following examples demonstrate how it is possible to generate and save any type of data right in the browser using the W3C saveAs() FileSaver interface, without contacting any servers.
saveAs()


|
PX4 Firmware
PX4 Autopilot Software http://px4.io
|
Main class that exports features for PCA9685 chip. More...
#include <PCA9685.h>
Public Member Functions | |
| PCA9685 () | |
| PCA9685 (int bus, int address) | |
| Constructor takes bus and address arguments. More... | |
| int | init () override |
| int | send_output_pwm (const uint16_t *pwm, int num_outputs) override |
| int | init (int bus, int address) |
| virtual | ~PCA9685 () |
| void | reset () |
| Sets PCA9685 mode to 00. More... | |
| void | setPWMFreq (int freq) |
| Set the frequency of PWM. More... | |
| void | setPWM (uint8_t channel, int on_value, int off_value) |
| PWM a single channel with custom on time. More... | |
| void | setPWM (uint8_t channel, int value) |
| send pwm value to led(channel), value should be range of 0-4095 More... | |
| Public Member Functions inherited from linux_pwm_out::PWMOutBase | |
| virtual | ~PWMOutBase () |
Private Member Functions | |
| uint8_t | read_byte (int fd, uint8_t address) |
| Read a single byte from PCA9685. More... | |
| void | write_byte (int fd, uint8_t address, uint8_t data) |
| Write a single byte to PCA9685. More... | |
| int | open_fd (int bus, int address) |
| Open device file for PCA9685 I2C bus. More... | |
Private Attributes | |
| int | _fd = -1 |
| I2C device file descriptor. More... | |
| PCA9685::PCA9685 | ( | ) |
Definition at line 84 of file PCA9685.cpp.
References init(), PCA9685_DEFAULT_I2C_ADDR, and PCA9685_DEFAULT_I2C_BUS.
| PCA9685::PCA9685 | ( | int | bus, |
| int | address | ||
| ) |
Constructor takes bus and address arguments.
| bus | the bus to use in /dev/i2c-d. |
| address | the device address on bus |
Definition at line 89 of file PCA9685.cpp.
References init().
|
virtual |
Definition at line 94 of file PCA9685.cpp.
Referenced by init().
|
inlineoverridevirtual |
Implements linux_pwm_out::PWMOutBase.
Definition at line 85 of file PCA9685.h.
References _fd, reset(), send_output_pwm(), setPWM(), setPWMFreq(), and ~PCA9685().
Referenced by PCA9685().
| int PCA9685::init | ( | int | bus, |
| int | address | ||
| ) |
Definition at line 58 of file PCA9685.cpp.
References _fd, open_fd(), reset(), setPWMFreq(), and usleep().
|
private |
|
private |
Read a single byte from PCA9685.
| fd | file descriptor for I/O |
| address | register address to read from |
Definition at line 148 of file PCA9685.cpp.
References read(), and write().
Referenced by setPWMFreq().
| void PCA9685::reset | ( | ) |
Sets PCA9685 mode to 00.
Definition at line 103 of file PCA9685.cpp.
References _fd, MODE1, MODE2, and write_byte().
Referenced by init(), and ~PCA9685().
|
overridevirtual |
Implements linux_pwm_out::PWMOutBase.
Definition at line 71 of file PCA9685.cpp.
References setPWM().
Referenced by init().
| void PCA9685::setPWM | ( | uint8_t | channel, |
| int | on_value, | ||
| int | off_value | ||
| ) |
PWM a single channel with custom on time.
send pwm vale to led(channel)
| channel | |
| on_value | 0-4095 value to turn on the pulse |
| off_value | 0-4095 value to turn off the pulse |
Definition at line 134 of file PCA9685.cpp.
References _fd, LED0_OFF_H, LED0_OFF_L, LED0_ON_H, LED0_ON_L, LED_MULTIPLYER, and write_byte().
Referenced by init(), send_output_pwm(), and setPWM().
| void PCA9685::setPWM | ( | uint8_t | channel, |
| int | value | ||
| ) |
send pwm value to led(channel), value should be range of 0-4095
Definition at line 129 of file PCA9685.cpp.
References setPWM().
| void PCA9685::setPWMFreq | ( | int | freq | ) |
Set the frequency of PWM.
| freq | desired frequency. 40Hz to 1000Hz using internal 25MHz oscillator. |
Definition at line 111 of file PCA9685.cpp.
References _fd, CLOCK_FREQ, MAX_PWM_RES, MODE1, PRE_SCALE, read_byte(), usleep(), and write_byte().
Referenced by init().
|
private |
Write a single byte to PCA9685.
| fd | file descriptor for I/O |
| address | register address to write to |
| data | 8 bit data to write |
Definition at line 165 of file PCA9685.cpp.
References data, PX4_ERR, and write().
Referenced by reset(), setPWM(), and setPWMFreq().
|
private |
I2C device file descriptor.
Definition at line 118 of file PCA9685.h.
Referenced by init(), reset(), setPWM(), setPWMFreq(), and ~PCA9685().


“Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. It combines the speed of search with the power of analytics via a sophisticated, developer-friendly query language covering structured, unstructured, and time-series data.”
There are no publicly exposed ports for Elasticsearch. The role is designed to be used with another Docker container on the ‘provisioner’ network.
The data is stored on disk under /usr/local/elasticsearch/data


You probably notice from doing this exploration that the number of SROs and the number of schools with SROs has gone up. According to [8.12.129], “Following the 1999 Columbine High School shooting, President Clinton called for the first round of Community Oriented Policing Services (COPS) grants as a response that would allow for school/police partnerships focused on 'school crime, drug use, and discipline problems.'' COPS is a unit of the U.S. Department of Justice. After the Sandy Hook tragedy in 2012, President Obama allocated another $45 million into COPS to fund additional school police. Federal grants were supplemented by state grants and local monies to sustain SRO programs.”
in-context


git
Distributed version control system.
Some subcommands such as `commit`, `add`, `branch`, `checkout`, `push`, etc. have their own usage documentation, accessible via `tldr git subcommand`.
More information: home page
- Check the Git version:
git --version
- Show general help:
git --help
- Show help on a Git subcommand (like `clone`, `add`, `push`, `log`, etc.):
git help subcommand
- Execute a Git subcommand:
git subcommand
- Execute a Git subcommand on a custom repository root path:
git -C path/to/repo subcommand
- Execute a Git subcommand with a given configuration set:
git -c 'config.key=value' subcommand


Road Runner & CoyoteIn the late `40s, storyman Michael Maltese and director Chuck Jones were searching for the right combination of far-out animals to populate the cartoon they envisioned as a parody of the constant chases that had come to dominate animation. They finally settled on an emaciated Coyote chasing a supersonic Road Runner and got it on the screen in Fast and Furry-ous in 1949. Audiences laughed, but no one saw it as a parody of anything. So for 15 years, Maltese and Jones had to content themselves with turning out one of the most popular series of cartoons ever made.
Most of us, having attempted to capture a roadrunner two or three times and failed, would give up and go chase a rabbit. But Wile E. Coyote is earnestly trying to prove to himself that such a thing is possible for him. And he has somehow gotten the idea that since simple schemes don't work, complicated ones must be the answer.
Yet all he proves is that the more elaborate his preparations, the greater the chances of something going wrong, so that his obsession proves his undoing over and over. There he is, staring at the dynamite, watching the impending onslaught of arrows, or, worst of all, sailing off one of those ubiquitous 5-mile cliffs, with nothing to do but submit to his fate--then go on with the next scheme, momentarily restored by the fadeout, pretending none of this has happened.


Excalibur is a web interface to extract tabular data from PDFs. There are both open and closed-source tools that are widely used for this task.  This is not helpful since everything in the real world, including PDF table extraction, is fuzzy. This leads to the creation of ad-hoc table extraction scripts for each type of PDF table.
Excalibur uses Camelot under the hood, which offers users complete control over table extraction. If you don't get the desired output with default settings, you can tweak them and get the job done!
You can check out fantastic documentation at https://excalibur-py.readthedocs.io/.
You can upload your PDF using the web interface. You can also see previous uploads. All file storage and processing happens on your own local or remote machine, which means that you have complete control over your data.
You can draw a table area and also add column separators in cases where the table is really buried inside the text on the PDF page.
You won't need to draw table areas and column separators in most cases, because Excalibur can do that on its own.


|
Bullet Collision Detection & Physics Library
|
#include "LinearMath/btScalar.h"
Go to the source code of this file.
Classes | |
| struct | btContactSolverInfoData |
| struct | btContactSolverInfo |
| struct | btContactSolverInfoDoubleData |
| do not change those serialization structures, it requires an updated sBulletDNAstr/sBulletDNAstr64 More... | |
| struct | btContactSolverInfoFloatData |
| do not change those serialization structures, it requires an updated sBulletDNAstr/sBulletDNAstr64 More... | |
Enumerations | |
| enum | btSolverMode { SOLVER_RANDMIZE_ORDER = 1, SOLVER_FRICTION_SEPARATE = 2, SOLVER_USE_WARMSTARTING = 4, SOLVER_USE_2_FRICTION_DIRECTIONS = 16, SOLVER_ENABLE_FRICTION_DIRECTION_CACHING = 32, SOLVER_DISABLE_VELOCITY_DEPENDENT_FRICTION_DIRECTION = 64, SOLVER_CACHE_FRIENDLY = 128, SOLVER_SIMD = 256, SOLVER_INTERLEAVE_CONTACT_AND_FRICTION_CONSTRAINTS = 512, SOLVER_ALLOW_ZERO_LENGTH_FRICTION_DIRECTIONS = 1024, SOLVER_DISABLE_IMPLICIT_CONE_FRICTION = 2048 } |
| enum btSolverMode |
Definition at line 21 of file btContactSolverInfo.h.


{{::partition.CPU}}CPU
{{::partition.RAM}}RAM
{{::partition['HDD(Used/Total)']}}HDD(Used/Total)
{{::partition.Containers}}containers
A partition is a section in a host with allocated resources where the containers reside in.
Connect to host before creating a partition.


{% extends 'base.html' %} {% block content %}
View some of the businesses found in {{profile.hood.name}}.
Some important announcements for residents of {{profile.hood.name}}.


--- layout: base title: Computer Anonymous - West London ---
Read The overview if you haven't already, especially the code of conduct.
The West London group are going to meet on 18th December 2013 at The Rylston in Fulham, from 18:30. The Rylston is a short walk from Fulham Broadway, West Brompton and West Kensington tube stations. Come to the pub, have a drink, and say "Computer". Meet other people who use computers, and talk about interesting things. (You could also learn to cross-stitch a space invader, or read some copies of Amiga Power.) Facebook event.Suggestions in the west:
Venue suggestions:
The oddly named West London group met at: The Mad Hatter, 3-7 Stamford Street, London, SE1 9NY, on Thursday 24th October 2013, from about 18:30.
Copies of Amiga Power were read, space invaders and Pac-Man ghosts were cross-stitched, people attempted regular expression crosswords, and read print-outs of esoteric languages such as the My Little Pony inspired FiM++. Cider, lemonade and lime, beer, and other such beverages were drunk, pies were eaten. Stickers were stuck. (Thanks Tef!) And also, most importantly, many wonderful conversations were had. This was the Facebook event: Computer Anonymous West London meet-up
----------------------------------------------------------------------------------
Venue suggestions in central London that might be convenient for people in west London:


{% extends "layout.html" %} {% block content %}
Thank you for your message. We'll get back to you shortly.


|
Robust Distributed Pose Graph Optimization
This project presents a distributed pose graph optimization approach robust to outlier measurments among the inter-robot loop closures.
|
This namespace encapsulates utility functions to manipulate graphs. More...
Classes | |
| struct | PoseWithCovariance |
| Structure to store a pose and its covariance data. More... | |
| struct | Trajectory |
| Structure defining a robot trajectory. More... | |
| struct | TrajectoryPose |
| Structure defining a pose in a robot trajectory. More... | |
| struct | Transform |
| Structure defining a transformation between two poses. More... | |
| struct | Transforms |
| Structure defining a std::map of transformations. More... | |
Typedefs | |
| typedef std::vector< std::pair< gtsam::Key, gtsam::Key > > | LoopClosures |
| type to store poses IDs of loop closures. More... | |
| typedef std::pair< gtsam::Vector6, gtsam::Matrix > | ConsistencyErrorData |
| type to store pose error vector and its associated covariance. More... | |
Functions | |
| uint8_t | parseG2ofile (const std::string &file_name, size_t &num_poses, Transforms &tranforms, LoopClosures &loop_closures, const bool &only_loop_closures) |
| This function parse .g2o files. More... | |
| void | poseCompose (const graph_utils::PoseWithCovariance &a, const graph_utils::PoseWithCovariance &b, graph_utils::PoseWithCovariance &out) |
| This function compose (+) geometric poses with covariance. More... | |
| void | poseInverse (const graph_utils::PoseWithCovariance &a, graph_utils::PoseWithCovariance &out) |
| This function invert a geometric pose with covariance. More... | |
| Trajectory | buildTrajectory (const Transforms &transforms) |
| This function precompute the trajectory by composing the successive poses. More... | |
| void | printConsistencyGraph (const Eigen::MatrixXi &consistency_matrix, const std::string &file_name) |
| This function prints the consistency matrix to the format expected by the maximum clique solver. More... | |
| bool | isInTrajectory (const Trajectory &trajectory, const size_t &pose_id) |
| This function check if a pose is include in a trajectory. More... | |
| void | printConsistentLoopClosures (const LoopClosures &loop_closures, const std::vector< int > &max_clique_data, const std::string &file_name) |
| This function prints a list of consistent loop closures in a file. More... | |
Variables | |
| const gtsam::Matrix | FIXED_COVARIANCE |
| Covariance matrix with usual value (rotation std: 0.01 rad, translation std: 0.1 m). More... | |
This namespace encapsulates utility functions to manipulate graphs.
type to store pose error vector and its associated covariance.
Type defining a pair vector-matrix
type to store poses IDs of loop closures.
Type defining a list of pair of poses with a loop closure
| Trajectory graph_utils::buildTrajectory | ( | const Transforms & | transforms | ) |
This function precompute the trajectory by composing the successive poses.
Uses the mrpt library : https://www.mrpt.org/
| [in] | transforms | Odometry measurements returns the trajectory |
| bool graph_utils::isInTrajectory | ( | const Trajectory & | trajectory, |
| const size_t & | pose_id | ||
| ) |
This function check if a pose is include in a trajectory.
| [in] | trajectory | Trajectory in which to find the pose |
| [in] | pose_id | ID of the pose to find. returns boolean indicating if the pose is included in the trajectory. |
| uint8_t graph_utils::parseG2ofile | ( | const std::string & | file_name, |
| size_t & | num_poses, | ||
| Transforms & | tranforms, | ||
| LoopClosures & | loop_closures, | ||
| const bool & | only_loop_closures | ||
| ) |
This function parse .g2o files.
The specification of this format is available here : https://github.com/RainerKuemmerle/g2o/wiki/File-Format
| [in] | file_name | File name |
| [out] | num_poses | Number of poses in the file |
| [out] | transforms | Structure containing the measurements |
| [out] | loop_closures | IDs of the nodes involved to loop closures |
| [in] | only_loop_closures | If true, the file is expected to contain only loop closures |
| void graph_utils::poseCompose | ( | const graph_utils::PoseWithCovariance & | a, |
| const graph_utils::PoseWithCovariance & | b, | ||
| graph_utils::PoseWithCovariance & | out | ||
| ) |
This function compose (+) geometric poses with covariance.
Uses the mrpt library : https://www.mrpt.org/
| [in] | a,b | Geometric poses with covariance information |
| [out] | out | a + b |
| void graph_utils::poseInverse | ( | const graph_utils::PoseWithCovariance & | a, |
| graph_utils::PoseWithCovariance & | out | ||
| ) |
This function invert a geometric pose with covariance.
Uses the mrpt library : https://www.mrpt.org/
| [in] | a | Geometric poses with covariance information |
| [out] | out | I - a |
| void graph_utils::printConsistencyGraph | ( | const Eigen::MatrixXi & | consistency_matrix, |
| const std::string & | file_name | ||
| ) |
This function prints the consistency matrix to the format expected by the maximum clique solver.
This function prints the consistency matrix to the format expected by the maximum clique solver Fast Max-Cliquer (http://cucis.ece.northwestern.edu/projects/MAXCLIQUE/)
| [in] | consistency_matrix | Consistency matrix of the loop closures |
| [in] | file_name | Name of the file in which the consistency matrix will be saved |
| void graph_utils::printConsistentLoopClosures | ( | const LoopClosures & | loop_closures, |
| const std::vector< int > & | max_clique_data, | ||
| const std::string & | file_name | ||
| ) |
This function prints a list of consistent loop closures in a file.
| [in] | loop_closures | Loop closures to consider |
| [in] | max_clique_data | Max-Cliquer output data. |
| [in] | file_name | Name of the file to save the results. |
| graph_utils::FIXED_COVARIANCE |
Covariance matrix with usual value (rotation std: 0.01 rad, translation std: 0.1 m).
This value should not be used if covariance data is provided by the front end.


class: center, middle, inverse, title-slide # Assessing Amazon Turker and automated machine forecasts in the Hybrid Forecasting Competition ### Predictive Heuristics Andreas Beger and Michael D. Ward ### 5 January 2019 Asian POLMETH 2019, Kyoto, Japan ---  class: center, middle .left.large[I'm going to show results of an exploratory analysis of the relative accuracy of volunteer, Amazon Mechanical Turker, and automated machine forecasts for a broad set of questions (IFPs)1 in the HFC2 during the first trial period (RCT-A3) that took place this year.] .left.footnote[1 Individual Forecasting Problem
 2  Hybrid Forecasting Competition
 3  Randomized controlled trial A] --- class: middle, center # Disclaimer .left[This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via 2017-17071900005. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein.] --- class: center, middle, inverse # Hybrid Forecasting Competition .pull-left[![](img/hfc-logo.png)] .pull-right[![](img/sage-logo.png)] --- class: middle # Project goal .middle[ >The HFC program is developing and testing hybrid geopolitical forecasting systems. These systems **integrate human and machine forecasting components** to create maximally accurate, flexible, and scalable forecasting capabilities. ] .right.small[From https://www.hybridforecasting.com] The idea is to overcome some of the respective weaknesses of human and machine-generated forecasts by combining them in some to be determined fashion. ??? Human-generated forecasts are flexible, but subject to cognitive biases and scalability issues. Machine-generated forecasts are reliable and scalable, but ill-suited for idiosyncratic or emerging issues. --- background-image: url('img/screenshot-splash.png') background-size: contain --- background-image: url('img/screenshot-question.png') background-size: contain --- # Scoring Multinomial Brier score: `$$mBS = \sum_{i=1}^R(f_i - o_i)^2$$` - `\(R\)` is the number of answer options, `\(f\)` the vector of weights summing to 1, and `\(o\)` a 0/1 vector marking the correct option - ranges from 0 (good) to 2 (bad) -- Ordered Brier score: 1. Split the ordinal categories (A-B-C-D) into cumulative binary pairs, aggregating the forecast probabilities for each grouping of categories (A-BCD; AB-CD; ABC-D). 2. Calculate the multinomial Brier score for each of the binary categories. 3. Average across the binary category scores to obtain the final Brier score. - also ranges from 0 to 2 - "near misses" are penalized less than far misses --- class: center, middle, inverse # The hybrid part: # Some users could see time series charts and/or machine forecasts for some IFPs --- # How this works - An automated system is collecting and updating data from several data sources, and matching them up, if possible, to questions If data for a particular question is available: - Chart the data - An automated system generates a machine forecast --- class: middle ### How much crude oil will Iraq produce in May 2018? .center[ ![:scale 80%](img/opec-iraq-with-chart.png) ] - Less than 4,280 - Between 4,280 and 4,384, inclusive - More than 4,384 but less than 4,473 - Between 4,473 and 4,576, inclusive - More than 4,576 --- class: middle ### How much crude oil will Iraq produce in May 2018? .center[ ![:scale 80%](img/opec-iraq-with-forecast.png) ] - Less than 4,280 *(38%)* - Between 4,280 and 4,384, inclusive *(15%)* - More than 4,384 but less than 4,473 *(13%)* - Between 4,473 and 4,576, inclusive *(13%)* - More than 4,576 *(21%)* ??? The model is ARIMA(0, 1, 1) --- # basil-ts Automated time series forecaster microservice Implemented in R + Python Flask + RESTful API Sketch of the internals: 1. Parse incoming question and data 2. Produce a time series forecast using an automated ARIMA fitter1 3. Convert the time series forecast to answer option probabilities Most of the complexity is related to automating the question/task parsing and handling edge cases. .footnote[1 [Hyndman & Khandakar 2008](http://www.jstatsoft.org/article/view/v027i03); R [forecast](https://cran.r-project.org/package=forecast) package] ??? Examples of parsing that needs to be done: - how far ahead to forecast, which requires parsing the data and question time periods - whether the data are count and should be constrained - partial data handling - data aggregation for fixed period questions --- # Questions that were of primary concern to us How well are the machine forecasts doing? Are there particular question groups where performance is good or lacking? Basically, where do we need to focus improvements? --- class: middle, center, inverse # Let's start looking at data and results --- # Data RCT-A, the first trial period, lasted from 7 March to 7 September 2018 - Use subset of forecasts from 2 May (turkers enter) to 1 August 2018 (change in tracking) ~49,000 forecasts 156 IFPs; 46 with machine forecasts 971 unique users Forecasters: - Volunteers who joined the platform - Amazon Mechanical Turkers - Machine (basil-ts) --- # Summary of some findings in the paper -- Volunteers are better forecasts than Amazon Turkers Machines are somewhere in the middle -- Human forecasters who saw the machine forecasts did poorly; volunteer forecasts who saw only charts had overall the best performance -- It's not clear why though, e.g.: -- - they outperformed on questions that did not have data (charts and model) -- - they outperformed volunteer forecasters who saw the machine forecasts even when the machine forecasts had good accuracy -- Relative performance: where did the machine forecasts do better than human forecasters? --- --- # Performance by forecaster group |Forecaster | avg Brier| N| |:----------|---------:|-----:| |Machine | 0.402| 1975| |Turker | 0.433| 39140| |Volunteer | 0.322| 7816| --- # Relative forecaster performance Group questions by data source, N=14 groups Linear model to compare average Brier scores of volunteer, turker, and machine forecasts (reference category) `$$\textrm{Brier}_{ij} = \beta_{i}\textrm{DataSource}_i + \beta'_{ij}(\textrm{DataSource}_i\times\textrm{Forecaster}_j)$$` `\(\beta_i\)` = average Brier score for machine forecasts for question group `\(i\)` `\(\beta'_{ij}\)` = average Brier score *relative to machine forecasts* for forecaster group `\(j\)` in question group `\(i\)` - Negative values `\(\rightarrow\)` human forecasters did better - Positive values `\(\rightarrow\)` machine forecasts did better --- class: center, middle ![](img/model-machine-by-data-source-buildup.png) ??? - explain the two panels - x-axis left is average machine forecast performance, right is difference from left; both are Brier scores - y-axis are question groups, number is number of questions - sorted so that at top are better human, at bottom are better machine --- class: center, middle ![](img/model-machine-by-data-source.png) ??? - overall easiest, which can't see directly were oil prices, stocks - overall hardest were ACLED, OECD interest rates, and Boko Haram - humans generally tended to do better on questions with monthly period (food prices, oil production) - machines more clearly did better on questions that require data aggregation (ACLED, Nigeria, hacking); earthquakes aggregates are readily available - ACLED 2op versus 5op: maybe partly 0's, partly truncation issue --- # ACLED 5-option Overall hard questions; machine outperformed human forecasts > How many battle deaths will ACLED record in Central African Republic in August 2018? ![](img/chart-2117.png) --- # OECD interest rates Overall hard questions; machine has middling performance > What will be the long-term interest rate for Hungary (HUN) in July 2018? ![](img/chart-1793.png) --- # ACLED binary question Relatively easy questions, but machines underperformed a lot > Will ACLED record any riot/protest events in Gambia in July 2018? ![](img/chart-1136.png) --- # Conclusions Machine forecasts did well on count questions that require data aggregation - ACLED - Privacyrights hacking - Nigeria security tracker (Boko Haram) -- Some of the overall hardest questions, and where to some extent human forecasters did better, are economic/financial monthly series - OECD interest rates - FAO food price indices - exchange rates - oil production --- # Issues we did not address -- What about selection issues; are volunteer forecasters able to self-select into questions they will do well on? -- Do the chart volunteers do better on questions requiring data aggregation; generally there are some inconsistencies on why/how the chart volunteers did so well. --- class: center, middle, inverse # Thank you! Register to forecast at https://sage-platform.isi.edu/ .left[
: [adbeger<EMAIL_ADDRESS>: https://github.com/andybega/asia-polmeth-2019
: [link to paper (on github under docs/pdf/)](pdf/BegerWard_HFC_AsiaPolmeth2019.pdf) ]


Dan Maljovec
Publications
- Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps
-
Tushar Athawale, Dan Maljovec, Lin Yan, Chris Johnson, Valerio Pascucci, Bei Wang
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
- Linking Classical PRA Models to a Dynamic PRA
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Diego Mandelli, Congjian Wang, Carlo Parisi, Dan Maljovec, Andrea Alfonis, Zhegang Ma, and Curtis Smith
Annals of Nuclear Energy, 2020
- SpotSDC: Revealing the Silent Data CorruptionPropagation in High-performance Computing Systems
-
Zhimin Li, Harshitha Menon, Dan Maljovec, Yarden Livnat, Shusen Liu, Kathryn Mohror, Peer-Timo Bremer, and Valerio Pascucci
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
- Reduced Order Model and PRA: A Multi-Unit Perspective
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Diego Mandelli, Dan Maljovec, and Andrea Alfonsi
ANS Winter Meeting 2018
- Integration of Fault-Trees and Event-Trees into Dynamic PRA
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Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Congjian Wang, Zhegang Ma, Carlo Parisi, and Curtis Smith
Proceedings of ANS Summer Meeting, Philadelphia 2018
- Mining Data in a Dynamic PRA Framework
-
Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Carlo Parisi, Paul Talbot, Joshua Cogliati, Curtis Smith, and Cristian Rabiti
Progress in Nuclear Energy, Volume 108, Pages 99-110, 2018
- Analysis of Time Dependent Data and PRA
-
Diego Mandelli, Dan Maljovec, Andrea Alfonsi, Claudia Picoco, Curtis Smith, and Cristian Rabiti
ANS Winter Meeting 2017
- High-Dimensionality Reduction for Multi-physics Application Under the RAVEN Framework
-
Congjian Wang, Paul Talbot, Cristian Rabiti, Andrea Alfonsi, Diego Mandelli, Joshua Cogliati, Dan Maljovec, and Robert Kinoshita
ANS Winter Meeting 2017
- An Overview of Methods to Analyze Dynamic PRA Data
-
Diego Mandelli, Dan Maljovec, Carlo Parisi, Andrea Alfonsi, Curtis Smith, Cristian Rabiti
ESREL Conference 2017
- Dynamic PRA of a Multi-Unit Plant
-
Diego Mandelli, Carlo Parisi, Andrea Alfonsi, Dan Maljovec, Shawn St. Germain, Ronald Boring, Sarah Ewing, Curtis Smith, Cristian Rabiti
International Topical Meeting on Probabilistic Safety Assessment and
Analysis (PSA), 2017
- An Overview of Reduced Order Modeling Techniques for Safety Applications
-
Diego Mandelli, Andrea Alfonsi, Paul Talbot, Congjian Wang, Dan Maljovec, Curtis Smith, Cristian Rabiti, and Joshua Cogliati
13th International Conference on Probabilistic Safety Assessment and Management (PSAM), 2016
- Rethinking Sensitivity Analysis of Nuclear Simulations with Topology
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Dan Maljovec, Bei Wang, Paul Rosen, Andrea Alfonsi, Giovanni Pastore, Cristian Rabiti, and Valerio Pascucci
Proceedings of IEEE Pacific Visualization (PacificVis), 2016
- Visualizing High-Dimensional Data: Advances in the Past Decade
-
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, and Valerio Pascucci
Eurographics Conference on Visualization (EuroVis), STAR - State of the Art Report, 2015
Extended Journal version: IEEE Transactions on Visualization and Computer Graphics (TVCG), 2017.
- ND2AV: N-Dimensional Data Analysis and Visualization - Analysis for the National Ignition Campaign
-
Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian Spears, and Valerio Pascucci
Computing and Visualization in Science, 17(1), Pages 1-18, 2015
- Analyzing Simulation-Based PRA Data Through Clustering: a BWR
Station Blackout Case Study
-
Dan Maljovec, Shusen Liu, Bei Wang, Valerio Pascucci, Peer-Timo Bremer,
Diego Mandelli and Curtis Smith
Probabilistic Safety Assessment & Management conference (PSAM), 2014
Extended Journal version: Reliability Engineering & System Safety (RESS), 2015
- Topology-Based Active Learning
-
Dan Maljovec, Bei Wang, John Moeller, and Valerio Pascucci
SCI Technical Report UUSCI-2014-00, 2014
- Overview of New Tools to Perform Safety Analysis: BWR Station Black
Out Test Case
-
Diego Mandelli, Curtis Smith, Thomas Riley, Joe Nielsen,
John Schroeder, Cristian Rabiti, Andrea Alfonsi, Joshua Cogliati,
Robert Kinoshita, Valerio Pascucci, Bei Wang, Dan Maljovec
Probabilistic Safety Assessment & Management conference (PSAM), 2014
- Analyzing Dynamic Probabilistic Risk Assessment Data through
Clustering
-
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer, and Valerio
Pascucci
International Topical Meeting on Probabilistic Safety Assessment and
Analysis (PSA), 2013
- Adaptive Sampling Algorithms for Probabilistic Risk Assessment of
Nuclear Simulations
*First Runner-up for Best Student Paper Award
-
Dan Maljovec, Bei Wang, Diego Mandelli, Peer-Timo Bremer, and Valerio
Pascucci
International Topical Meeting on Probabilistic Safety Assessment and
Analysis (PSA), 2013
- Exploration of High-Dimensional Scalar Function for Nuclear Reactor
Safety Analysis and Visualization
-
Dan Maljovec, Bei Wang, Valerio Pascucci, Peer-Timo Bremer,
Michael Pernice, Diego Mandelli, and Robert Nourgaliev,
in Proceeding of M&C2013 International Topical Meeting on
Mathematics and Computation, CD-ROM, American Nuclear Society,
LaGrange Park, IL, 2013
- Adaptive Sampling with Topological Scores
-
Dan Maljovec, Bei Wang, Ana Kupresanin, Gardar Johannesson, Valerio
Pascucci, and Peer-Timo Bremer
Working with Uncertainty Workshop at IEEE VisWeek, 2011.
International Journal for Uncertainty Quantification, 3(2),
pages 119-141, 2013


Create playlist:
Artist:
playlist based upon: deamau5
Skrillex
My Name is Skrillex EP
Do Da Oliphant
Artist:
this is for feedback


If you already have a project and wish to use one of the Circumflex components, just add the corresponding dependency to your project's pom.xml
:
<properties>
<cx.version><!-- desired version --></cx.version>
</properties>
<dependencies>
<!-- Circumflex Web Framework -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-web</artifactId>
<version>{cx.version}</version>
</dependency>
<!-- Circumflex ORM -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-orm</artifactId>
<version>{cx.version}</version>
</dependency>
<!-- Circumflex Freemarker Views -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-ftl</artifactId>
<version>{cx.version}</version>
</dependency>
<!-- Circumflex Markeven -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-markeven</artifactId>
<version>{cx.version}</version>
</dependency>
<!-- Circumflex Scalate -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-scalate</artifactId>
<version>{cx.version}</version>
</dependency>
<!-- Circumflex Docco -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-docco</artifactId>
<version>{cx.version}</version>
</dependency>
</dependencies>
Note that all Circumflex components should share the same version. Check out the Central Maven Repository to determine the latest version of Circumflex.
 Change to the directory where you store your projects, and run:
$ mvn archetype:generate
Choose the circumflex-archetype from your local catalog:
Choose archetype:
1: local -> circumflex-archetype (Circumflex Application Archetype)
2: internal -> . . .
Choose a number: (1/2/3/ . . .) 17: : 1
Provide basic information about your project:
Define value for groupId: : com.myapp
Define value for artifactId: : myapp
Define value for version: 1.0-SNAPSHOT: : 1.0
Define value for package: com.myapp: :
After you confirm your choice, a simple Circumflex application will be created. To run it, go to your project root (it matches the artifactId
that you specified above) and execute the following:
$ mvn compile jetty:run
The following lines indicate that your application is ready to serve requests:
[INFO] Started Jetty Server
[INFO] Starting scanner at interval of 5 seconds.
Now you may visit your application at http://localhost:8180.
You can obtain the latest Circumflex sources at GitHub:
$ git clone git://github.com/inca/circumflex.git
Circumflex, like all Scala applications, is compiled into Java VM bytecode. Make sure that the latest Java 6 SDK is installed on your system.
Circumflex uses Apache Maven 2 for build management. If you don't already have Maven 2, install it. Note that some operating systems (e.g. Mac OS X 10.5 and higher) are shipped with Maven 2 by default. On some systems it is also preferrable to install Maven 2 via package managers. For example, on Debian or Ubuntu systems you can install Maven 2 by executing the following line:
$ sudo apt-get install maven2
If you are unfamiliar with Maven, you should probably read the Maven in 5 Minutes article or Getting Started Guide.
Once you are ready to build, execute the following in the Circumflex root directory:
$ mvn clean install
After the build has successfully finished, Circumflex with all its dependencies will be available in your local Maven 2 repository (it may take a while to download dependencies the first time).
An application skeleton for SBT has been kindly provided by andreyshikov, it shows how to configure simple Circumflex application to build with SBT.
You can clone it from http://github.com/andreyshikov/circumflex-sbt-quickstart.


S.O.S PACIFIC (director: Guy Green; screenwriter: Robert Westerby/Bryan Forbes/From story by Gilbert Travers Thomas; cinematographer: Wilkie Cooper; cast: Richard Attenborough (Whitey), Pier Angeli (Teresa), Jean Anderson (Miss Shaw), Eva Bartok (Maria), Eddie Constantine (Mark), Clifford Evans (Petersen), Harold Kasket (Monk), John Gregson (Jack, the pilot), Cec Linder (Willy, co-pilot), Gunnar Möller (Hans Krauss), 1959 - UK)
Reviewed by Dennis Schwartz
A seaplane crash lands on the waters of some deserted South Pacific Island and the six diverse passengers plus the pilot and the stewardess on board remove themselves from the wreck and take a dinghy ashore, where they will find things look hopeless and could be getting worse.
The pilot, Jack Bennett (Gregson), is a disgruntled man, carrying on a futile love affair with the attractive stewardess, Teresa (Pier Angeli), and is dissatisfied with this second-rate airline he works for and with his co-pilot, Willy (Linder). Willy is finding it difficult to follow the captain's orders and rebels by doing whatever he wants to do. When the plane makes a fuel stop and picks up some more passengers on a small island, he doesn't get the proper amount of fuel the captain asks him to get because he is anxious to get back to his home and quit this job he dreads and he doesn't want to get stuck in this primitive island waiting for the bureaucrats to finally grant him all the fuel needed. A hurricane warning is issued, but because of the poor radio equipment they have, which was not properly repaired by Willy, the message is cut off and they don't know how serious that storm will be. But Willy's most fatal mistake was to purchase fire extinguishers that were cheap, but would comply in appearance with the air safety codes. It was purchased at the price this airline run on a shoestring could afford, the only trouble was that they were the wrong type of extinguishers for an airplane, and if used, they can cause deadly fumes to be released rather than extinguish the fire. Of course, there was a fire on the plane and the extinguisher was used by a passenger rushing into the cockpit to help out and before he could be stopped by the co-pilot from using it, the damage was done, as the fumes killed the co-pilot and knocked the pilot unconscious.
The two original passengers from the flight are the prim and haughty Englishwoman, Miss Shaw (Jean Anderson), who turns out to be a good egg, after all, and a German physic's professor, Krauss (Gunnar), who is on his way to Australia to accept a teaching position there.
Petersen (Clifford) is a cop on assignment to arrest the brash captain of the Sea Spray, Mark (Eddie), for smuggling. His information that the captain is a smuggler comes from the Britisher, the very slimy Whitey (Attenborough), a weasel if there ever was one. Whitey is given an airline ticket to testify in court against Mark, and if he does that, he will then get his reward money. The handcuffed Mark, when he gets a chance to be uncuffed by the cop who has to go to the bathroom, threatens Whitey by telling him what will happen to him if he testifies in court. This scares the living daylights out of the prevaricator. Mark is the one who mistakenly used the fire extinguisher and was forced to land the plane with the help of the revived pilot, who still had no strength in his hands to navigate it.
Maria (Eva Bartok) is the popular bon vivant world traveler, where every island she stops at is paradise. She is a romantic friend of Mark's but can't get closer to him than that. Her role in the film is never developed, as it is based on a generalization of what someone like her should be like.
The marooned passengers discover that they are on an island that has cattle in lead sheltered buildings and an empty fleet of ships docked around the side of the island and they soon realize that this is an island used as a nuclear-test site, and in a few hours a nuclear-test bomb will explode on the island.
The physic's professor tells them that the next island they see, which is two miles away, has the detonators that will cause the chain-reaction for the bomb to go off and that if they can get to that island they can stop the explosion from occurring. One of the problems, is that Whitey is intimidated by Mark and doesn't like it that the cop has uncuffed his prisoner, so when he gets a chance, he steals the cop's gun and the plane's dinghy, taking it to the next island. The problem now, is that the professor can't swim so he has to teach Mark how to detonate the reactors. In the meantime, Teresa goes diving into the water to find the toolbox in a search for the tools Mark will need to do his mission. She nearly drowns doing this but is saved by Mark, and the two passionately kiss on the beach. This kiss is seen by the dismayed pilot.
The film's ending is routine formula fare, with a few "predictable" surprises of heroism and villainy, the kind of middling story churned out regularly by the studios who lack the imagination to delve into anything but superficial waters. So what you have is familiary known as a typical disaster B- movie, a precursor to all those other movies of this genre that were very popular with audiences from the late '70s- on. The film fits into the formula mold that studios use over and over again, with the obligatory tense action scenes and the typical danger scenes that call for a hero to be manufactured. In this film, Mark acts as a hero and stops the bomb and the crash victims get rescued with two seconds left, or something like that.  The actors had enough vigor in them to keep it going, and the story seemed to move along at a brisk and mindless pace.
REVIEWED ON 11/2/99 GRADE: C
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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