--- layout: page title: "vCard Format Specification" description: "This document defines the vCard data format for representing and exchanging a variety of information about individuals and other entities (e.g., formatted and structured name and delivery addresses, email address, multiple telephone numbers, photograph, logo, audio clips, etc.). This document obsoletes RFCs 2425, 2426, and 4770, and updates RFC 2739." ---
| Document Name: | RFC 6350 |
|---|---|
| Document URI: |
urn:ietf:rfc:6350
|
| Online Version: |
https://datatracker.ietf.org/doc/html/rfc6350
|
| Organization: | Internet Engineering Task Force (IETF) |
| Series: | Request for Comments (RFC) |
| Abstract: | This document defines the vCard data format for representing and exchanging a variety of information about individuals and other entities (e.g., formatted and structured name and delivery addresses, email address, multiple telephone numbers, photograph, logo, audio clips, etc.). This document obsoletes RFCs 2425, 2426, and 4770, and updates RFC 2739. |
text/vcard
Return to ( Series | Organization | all Specifications )


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.Juan Camilo Sacanamboy
| Elemento #1 | Elemento #2 | Elemento #3 |
| Elemento #4 | Elemento #5 | Elemento #6 |
| Elemento #7 | Elemento #8 | Elemento #9 |


Changing the beeps, audio files and stick vibrations of a Timer Signalization usually takes a USB connection.
This app provides a simple interface to edit, add and delete those elements.
Great video by Harry Curzon
The Jeti transmitters have up to four discrete signalization files. Here you can choose which one you want to edit.
Each element has the attributes time [s] and type.
Elements can be added, deleted or swapped with the function buttons.
Only visible on compatible transmitters. On this page the vibration profile for each timestamp can be edited.


The all property in CSS resets all of the selected element’s properties, except the direction and unicode-bidi properties that control text direction.

$all: (); $all: map-merge( ( "initial": initial, "inherit": inherit, "unset": unset, ), $all );


SudoProfilesClient
public protocol SudoProfilesClient : AnyObject
Protocol encapsulating a library functions for managing Sudos in the Sudo service.
-
createSudo(sudo:
Asynchronous) Creates a new Sudo.
Throws
SudoProfilesClientError
Parameters
sudo
Sudo to create.
Return Value
the created Sudo.
-
updateSudo(sudo:
Asynchronous) Update a Sudo.
Throws
SudoProfilesClientError
Parameters
sudo
Sudo to update.
Return Value
the updated Sudo.
-
deleteSudo(sudo:
Asynchronous) Deletes a Sudo.
Throws
SudoProfilesClientError
Declaration
Swift
func deleteSudo(sudo: Sudo) async throws
-
listSudos(option:
Asynchronous) Retrieves all Sudos owned by signed in user.
Throws
SudoProfilesClientError
Declaration
Swift
func listSudos(option: ListOption) async throws -> [Sudo]
Parameters
option
option for controlling the behaviour of this API. Refer to
ListOption
enum.Return Value
an array of all the Sudos owned by signed in user.
-
Returns the count of outstanding create or update requests.
Declaration
Swift
func getOutstandingRequestsCount() -> Int
Return Value
Outstanding requests count.
-
Resets any cached data.
Throws
SudoProfilesClientError
Declaration
Swift
func reset() throws
-
subscribe(id:
AsynchronouschangeType: subscriber: ) Subscribes to be notified of new, updated or deleted Sudos. Blob data is not downloaded automatically so the caller is expected to use
listSudos
API if they need to access any associated blobs.Declaration
Swift
func subscribe(id: String, changeType: SudoChangeType, subscriber: SudoSubscriber) async throws
Parameters
id
Unique ID to be associated with the subscriber.
changeType
Change type to subscribe to.
subscriber
Subscriber to notify.
-
subscribe(id:
Asynchronoussubscriber: ) Subscribes to be notified of new, updated and deleted Sudos. Blob data is not downloaded automatically so the caller is expected to use
listSudos
API if they need to access any associated blobs.Declaration
Swift
func subscribe(id: String, subscriber: SudoSubscriber) async throws
Parameters
id
Unique ID to be associated with the subscriber.
subscriber
Subscriber to notify.
-
Unsubscribes the specified subscriber so that it no longer receives notifications about new, updated or deleted Sudos.
Declaration
Swift
func unsubscribe(id: String, changeType: SudoChangeType)
Parameters
id
Unique ID associated with the subscriber to unsubscribe.
changeType
Change type to unsubscribe from.
-
Unsubscribes the specified subscriber so that it no longer receives change notifications.
Declaration
Swift
func unsubscribe(id: String)
Parameters
id
Unique ID associated with the subscriber to unsubscribe.
-
Unsubscribe all subscribers from receiving notifications about new, updated or deleted Sudos.
Declaration
Swift
func unsubscribeAll()
-
getOwnershipProof(sudo:
Asynchronousaudience: ) Retrieves a signed owernship proof for the specified Sudo.
Declaration
Swift
func getOwnershipProof(sudo: Sudo, audience: String) async throws -> String
Parameters
sudo
Sudo to generate an ownership proof for.
audience
Target audience for this proof.
Return Value
JSON Web Token representing Sudo ownership proof.
-
Generate an encryption key to use for encrypting Sudo claims. Any existing keys are not removed to be able to decrypt existing claims but new claims will be encrypted using the newly generated key.
Declaration
Swift
@discardableResult func generateEncryptionKey() throws -> String
Return Value
Unique ID of the generated key.
-
Get the current (most recently generated) symmetric key ID..
Declaration
Swift
func getSymmetricKeyId() throws -> String?
Return Value
Symmetric Key ID.
-
Import encyrption keys to use for encrypting and decrypting Sudo claims. All existing keys will be removed before the new keys are imported.
Declaration
Swift
func importEncryptionKeys(keys: [EncryptionKey], currentKeyId: String) throws
Parameters
keys
Keys to import.
currentKeyId
ID of the key to use for encrypting new claims..
-
Export encryption keys used for encrypting and decrypting Sudo claims.
Declaration
Swift
func exportEncryptionKeys() throws -> [EncryptionKey]
Return Value
Encryption keys.


Actions
Actions provide a declarative mechanism for expressing reactive functionality directly in HTML, reducing the need to write and test JavaScript.
The action system extends the functionality of other elements by introducing a declarative way to express reactive functionality.
Declarative Actions
Actions could be thought of as commands, that are pre-configured to execute in response to a declared event. Once activated, the action becomes a command for the listener to execute.
The topic routes the action to the listener. The command is a function on the listener. The listener executes the command using the action-data as function parameters.
Actions provide a script-less way to enact functionality in response to a user's actions. They can be used to update data in a store, call an API, or set a cookie. See action listeners below to see what actions you can perform or how to install your own listeners.
Action Properties:
-
- topic
- The listener's topic (usually the subsystem).
-
- command
- The task or function to perform.
-
- data
- The arguments for the command, in a name-value format.
NENT elements use a command/event messaging system for inter-element communication. Actions are commands declared with HTML.
Activation
Actions can also be expressed using the <n-action> element. They should be wrapped within an Action Activator <n-action-activator> element to define how and when the actions within are activated.
Advanced Activations
Learn more ways to activate actions.
Action Listeners
Many NENT elements and systems support actions to make changes or react to user-input.
Component Actions
Learn more about the actions supported in the following elements.
Custom Actions
You can also register your own action-listener through the n-app element.


Seamless Generic Type Casting
In Array Covariance in C#, we saw that a List<Apple>
cannot be assigned to a variable declared as List<Object>
, even though all Apple
s are Object
s. If we were allowed to do that, we could get runtime type exceptions as we work with the list contents.
The compiler has to prevent us from these assignments because List<T>
’s public interface includes some subtle constraints: List<Apple>
is actually a more constrained type than List<Object>
. You can put anything into a List<Object>
and get it back out again. You can’t put just anything into a List<Apple>
; what would you expect to happen when you tried to read it back out? Therefore, List<Apple>
is more constrained than List<Object>
and we can’t treat List<Apple>
as a subtype of List<Object>
.
Still, it’s tempting to ask, is there some other generic type Foo<T>
where Foo<Apple>
can be treated as a Foo<Object>
? It turns out the answer is yes!
Let’s say your application is sending messages to another process over a message bus, and that you’ve implemented a helper method that sends a whole collection of messages instead of just one:
Unfortunately, this won’t even compile. We’re trying to send a list of RemoveOrderLineItem
messages, but the SendAll
method accepts a List<IMessage>
. Fortunately, this starts to compile if we change the definition of SendAll
to receive an IEnumerable<IMessage>
instead of a List<T>
:
What’s so special about IEnumerable<IMessage>
that lets us seamlessly cast from a List<RemoveOrderLineItem>
? Remember, the reason that the compile originally failed had to do with the fact that the object we were passing to SendAll
had more constraints than the type declared on the receiving end. With IEnumerable<IMessage>
, it’s a different story. Now, the only thing that SendAll
can do with our collection is get values out of it, and we know all such values will be individually compatable with IMessage
.
We’re able to do this because, as of .NET 4, IEnumerable<T>
has an updated definition:
The out
keyword was added to the generic type parameter T
. Using this keyword is a promise. “I promise that for all the members in this interface, T
will only appear in the return types, never appearing in any inputs.” When we use the out
keyword, we’re saying that T is “covariant”.
The in
keyword makes a similar promise: the type parameter T
could appear in the types of input arguments, but never in the return types. When we use the in
keyword, we’re saying that T
is “contravariant”.
In addition to sanity checking your promise, the compiler is now free to treat any IEnumerable<RemoveOrderLineItem>
as a IEnumerable<IMessage>
, without having to cast each individual item first. IEnumerable<RemoveOrderLineItem>
is truly a subtype of IEnumerable<IMessage>
.
Introducing these two keywords to the language was a nonbreaking change, with the main effect being that people encountered fewer compiler errors, usually without knowing it. When you design your own libraries, consider whether your interfaces deserve to take part in this style of casting. Beware, though, that removing the keywords later on can be a breaking change from the point of view of your library’s consumer!
In my next post, we’ll see how these keywords can be used to glue together delegates.
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The Expanse season 4 trailer
by Jason WeisbergerI really enjoyed the first season of The Expanse, but then kinda forgot about it. I read several of the James S. A. Corey books but have forgotten which and gotten it all confused.
Too many universes.
I really enjoyed the first season of The Expanse, but then kinda forgot about it. I read several of the James S. A. Corey books but have forgotten which and gotten it all confused.
Too many universes.


Press C to change camera type.
Press E and Q to change height.
Move with WASD.
Zoom in and out
with the mouse wheel.
SHIFT to run.
CLICK AND DRAG to look around.


In the book titled “Partners of the Heart” by Vivien T.Thomas he writes about his life before even pursuing or entering the medical field.He mostly grew up in Nashville city where he was raised with his other four siblings.His parents both worked to provide for the family.The mother was working as a tailor and taking care of the kids.Also, the father working as a carpenter and providing for the other expenses.At a young age Vivien was quiet smart.He graduated with more credits than he needed for highschool.Working was something that had importance in his life but never over took the power of education.Vivien started to work when he was thirteen a relatively young age.He later on finds a job at the hospital as a janitor and this is where his journey begins to become a heart surgeon.
The main characters in the book are Dr.Blalock and his assistant Viven Thomas.They both are smart and they collaborated for such a long period to figure out the Blue baby syndrome.There were many ups and downs but they still accomplished what they needed to do everyday.Out of all his colleagues he started to trust Viven more due to the teaching and experience he gave him at the hospital everyday, and that's why he was chosen to be part of the extremely difficult surgery at the end.


{% load static %}
Multi Step Form
Now comes the boring part
But don't worry. We'll hold your hand through this.
{% csrf_token %}
Credentials
First Subject
Second Subject
Third Subject
Fourth Subject
Fifth Subject
Let's know about you.
What do you want us to call you?
Now, let's get to learn about your academics
PSSST: Did you know? The word 'academics' comes from the word 'Academy', which derives from the Athenian hero, Akademos
Enter a subject that you learn followed by your scores for the last 5 exams. Remember to type your scores between 0-100 only.
Exam Results:
Go on, only 3 more left!
Exam Results:
Go on, only 2 more left!
Exam Results:
Go on, only 1 more left!
Exam Results:
This is it, soon you'll have Intellitable up and running!
Exam Results:
{% if messages %} {% for message in messages %} {% if message.tags == 'success' %}
{{ message }}
{% elif message.tags == 'error' %}
{{ message }}
{% endif %} {% endfor %} {% endif %}


I am an C#, JavaScript and clean coding enthusiast with experience in leveraging various technology and frameworks to build great products. I am an avid reader and passionate about learning new technologies. I believe that we could only be better programmer/techie by learning and understanding things deeper. I believe in teamwork as I believe group of people working towards a common goal can achieve a greater success.
Core product development as part of R&D team. Involved in complete developmet lifecycle. This includes requirement gathering, analysis, estimation, architecture design, module/feature development, unit testing, release verification, setup & deployment, delivery, maintanance and customer/professional services support when required. Responsibilities also includes mentoring/helping peers and subordinates, code reviews, refactorings to adhere to SOLID or patterns and practices.
e-Commerce based web application/backend development.My role was to implement the various features required for e-Commerce website like Login flows, Checkout flows,Product detail views and inventory management backend integrations.
Apart from doing the techie stuff like reading and blogging(tech stuff again),I enjoy travelling. I love driving and enjoy going on long drives and never miss the long drive opportunities as much as possible. I like to catch up with friends and family members and spend quality time together.
When indoors, I spend a large amount of my free time exploring the latest technolgy advancements in Microsoft's .NET (that's my background) and web development world and Artificial Intelligence.


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All My Intenships listed here. I have more than 10 months experience in Mobile App Developement and Counting More...
I am working on Client and Company Based Applications where I Design, implement and maintain Flutter applications that are often high-volume. I have made 5+ apps in this Internship and Counting more
WorkingI have worked on User Experience/ User Interface in this Internship. I made changes in UI of React Native Based Application
CertificateI have worked on React Native application in this Internship. I made a React Native Application for this Company. HealthyChef is a Fitness Food Delivery Company
CertificateI have worked on Java application in this Internship. I made an Android Application for Women's Safety. SafeRacc is a Non-Governmental Organisation
Certificate


US star makes shortlist for rugby’s world player award
TOKYO (AP) - United States hooker Joe Taufete’e is a surprise inclusion on the six-man shortlist for World Rugby’s Player of the Year award for 2019.
Taufete’e became the most prolific try-scorer in international history by a front-row forward, his hat trick against Uruguay in March taking him to 18 in his first 21 in tests - beating the record held by Ireland hooker Keith Wood. He was also the top try-scorer in the Americas Rugby Championship, with six.
Three players who will take the field for the Rugby World Cup final on Saturday, England flanker Tom Curry and South Africans Cheslin Kolbe and Pieter-Steph du Toit, are also up for the award, as are Wales lock Alun Wyn Jones and New Zealand flanker Ardie Savea.
The winner will be announced in Tokyo on Sunday.
More AP Rugby World Cup: https://www.apnews.com/RugbyWorldCup and https://twitter.com/AP_Sports
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Buiding things is fun
Hallo from GreenFox
There are two types of lists in HTML: ordered and unordered. The corresponding tags are ol (ordered list) and ul (unordered list). Both of them can have li elements (list item) inside them. List items can contain simple texts or any complex tag structure inside them, like a whole other list. This is how you can create an inner level list.
Let's see the list
- This is
- a very nice
- on the first level
- but it
- can go
- deeper
- and notice I have roman numbering!
- back to normal


{% include "../_includes/common/header.html" %}
{% include "../_includes/documentation/breadcrumb.html" %}
{% include "../_includes/common/directional.html" %}
{% include "../_includes/documentation/content.html" %}
{% block body %}{% endblock %}
{% include "../_includes/documentation/edit.html" %}
{% include "../_includes/common/footer.html" %}
{# include "includes/meta/version.html" #}
{# include "includes/search/search.html" #}


The ability to segment features from remotely sensed data is increasingly providing more detailed information about the world we live in. This data is used in a plethora of pursuits ranging from conservation, government and business. This example, segments the locations of buildings using two types of data, LIDAR (Light Detection and Ranging) and NAIP (National Agriculture Imagery Project) imagery. The motivation for this project is to limit hand digitization of aerial imagery that would be used in a disaster risk assessment model for an insurance company. This data would in turn affect insurance premiums, which can change product costs for the company. Thus the most update and accurate data is the cutting edge in company competitiveness. Building footprint data is usually held at the county level; however, this data may be several years to decades out of date or nonexistent. Some county’s database's only have address point locations which gives no insight to the number of structures on a given property. This outdated information does not show the current distribution of structures especially in rapidly developing areas. This lack of up to date data lowers the accuracy of the disaster risk assessment models, leaving insurance companies and their customers behind the benefits of the modern information curve. The company that can afford to acquire up to date LIDAR imagery proves to lead the pack on disaster risk models and the decision making information they contribute.
In this case the LIDAR data is used to create a DSM (digital surface model) which is a representation of the earth surface and can be thought of as an elevation image were each pixel represent a height. DSM show the tops of structures and tree canopies along with the bare earth were visible. The structure tops are what we are interested in and what we want to segment. To do this, we need to create a DEM (digital elevation model) from the DSM. A DEM is a lot like the DSM in that it displays elevation, however DEMs differ in that structures and vegetation are not represented. In a sense DEMs only show the bare earth. With a DEM and DSM of the same area we can normalize the terrain by subtracting the DSM from the DEM. In essence, this normalization of the DSM removes hill features as seen below.
Once we have normalized the DSM we can select features above a defined elevation. The selection will consist of tall vegetation and structures. Now that we have the vegetation and structure data, we still need to remove the vegetation from our selected features. This is where the NAIP imagery comes into play. In the NAIP imagery there is a nir (near infrared ) band which can be thought of as another color we can’t see. Anyway, healthy plant life is very bright in this “color” and it is so much brighter that it makes most other buildings look dark, as seen in the image below. The red in the image below is this nir band and we can see that all the plant life is red. So the fact that most building tops and tree canopies have different reflectance values means we can select a threshold that will segment structures from trees.
This is all well and good, but now we need to tie R into our process. Listed below are steps we will take from the raw DSM data to making the structure centroids.
library(sp) library(rgdal) library(dplyr) library(raster) library(rgeos) library(wvtool) library(graphics)
The code below represents how we import our imagery and shapefiles. The imagery includes our DSM and NAIP rasters, and a shapefile that is the ground truth locations of structures.
#these are the different test sites. NOTE open each test site one at a time making sure to use '#'on sites that are not used. #------------------------------------------------------------ #stat_points <- readOGR(dsn="data/ShapeFiles", layer="grd_pts_lar") #shapefile #dsm_min <- raster('data/Rasters/DSM_lar.tif') #NAIP <- raster('data/Rasters/NAIP_lar.tif', band = 4) #------------------------------------------------------------ #stat_points <- readOGR(dsn="data/ShapeFiles", layer="grd_pts") #shapefile #dsm_min <- raster('data/Rasters/DSM_door.tif') #NAIP <- raster('data/Rasters/NAIP_door.tif', band = 4) #------------------------------------------------------------ #stat_points <- readOGR(dsn="data/ShapeFiles", layer="grd_pts_job") #shapefile #dsm_min <- raster('data/Rasters/DSM_job.tif') #NAIP <- raster('data/Rasters/NAIP_job.tif', band = 4) #------------------------------------------------------------ stat_points <- readOGR(dsn="data/ShapeFiles", layer="stat_points") #shapefile dsm_min <- raster('data/Rasters/dsm_min.tif') NAIP <- raster('data/Rasters/naip.tif', band = 4) #------------------------------------------------------------
Below is our DSM and NAIP rasters. As you can see the buildings in the DSM are pretty easy to see, but there is a bit of noise and some trees we need to remove. In the NAIP imagery structures are a little harder to see, but its the green areas, the vegetation, that is important to us. The values in the DSM represent elevation and in the NAIP imagery the values are nir (near infrared) brightness values. Remember, high nir values show vegetation well.
plot(dsm_min, main='DSM') plot(NAIP,main='NAIP')
Now we need to create a DEM from the DSM, and this is done by selecting all values below the third quartile of the image. By doing this we create a grid of ones and zeros for regions above and below the third quartile. We need to populate this grid of ones and zeros with the elevation values for the areas denoted with a one, and we use a masking function to do this. The output raster has holes from where the zero values were and we will fill them in the next step.
para<-summary(dsm_min) dsm_min_less <- (dsm_min < round(para[4])) dsm_min_holes <- mask(dsm_min, dsm_min_less,inverse=TRUE, maskvalue=1) plot(dsm_min_holes, main='DSM<15')
To create a DEM from this data we need to fill the NA values (the holes) with numerical values. The function and loop below does this by taking the mean of a group of pixels and replaces the center pixel of the group with the mean value. This group of pixels or kernel moves around the image until all NA values are gone. Note the gradient of the model surface where its high in the upper left and low in the bottom right.
fill.na <- function(x, i=5) { if( is.na(x)[i] ) { return((mean(x, na.rm=TRUE)) ) } else { return((x[i]) ) } } #fileter kernalsd f3 <- matrix(1,3,3) dem <- focal(dsm_min_holes, w = f3, fun = fill.na, pad = TRUE, na.rm = FALSE ) while (summary(dem)[6]>0){ dem <- focal(dem, w = f3, fun = fill.na, pad = TRUE, na.rm = FALSE ) } plot(dem, main = 'the DEM')
Great! As you can see we filled all the holes and maintained the general trend of the ground’s slope. We can still see topographic relief from the streets which is good because the DEM needs to mimic the ground of the DSM as close as possible. Now that we have the DEM we can subtract the DSM from it.
nDSM <- dsm_min - dem plot(nDSM, main='nDSM')
Remember the gradient in the original DSM, its gone now, the ground across the raster is roughly the same elevation. This means that all features have about the same starting elevation point. Now we can select the features above the bare earth that represent our buildings and trees without the effects of a sloping terrain. The image below shows all of our buildings and trees, and all the values are ones and zeros again.
features <- (nDSM > (round(summary(nDSM)[5]/6)) ) plot(features, main = 'Buildings and Trees from nDSM')
Next, we will replace all the zeros with corresponding NAIP imagery values using a mask. The code below masks the nDSM selected features and applies the NAIP imagery values to the features. We can see in the figure that all of the buildings have different values from the green tree fragments.
naip_features <-mask(NAIP, features, inverse=FALSE, maskvalue=0, updatevalue=NA, updateNA=FALSE) plot(naip_features, main = 'NAIP Values Painted On nDSM Features')
By selecting values that represent rooftops we finally segment the building from the nDSM.
strutures<-(naip_features<(round((summary(naip_features)[4])+(summary(NAIP)[4]))/2)) plot(strutures, main='Buildings!')
With this information we will make vector data which will include our final product the centroids of the buildings. Now we will changing a raster into a polygon, just one polygon, with the raster to polygon function.
pol <- rasterToPolygons(strutures, fun=function(x){x==1}, dissolve=TRUE) plot(pol, main='Building Polygon, just one')
In the following code we dis-aggregate the single polygon above into many polygons by their conductivity. Then we need to add an area attribute to each polygon so we can filter the polygons by their size, removing tree remnants and noise. Unfortunately this causes us to inadvertently remove the smallest of the structures like tool sheds.
feet <- disaggregate(pol) feet$AREA <-area(feet) footprints <- feet[feet$AREA > (24),] plot(footprints, main='Building Polygons')
It's now time to place centroids at the center of each building polygon. This is done by taking the coordinates for each of the polygon's nodes and calculating the center point. We then input the coordinates into a spatial points data frame. The plot below shows our DSM as the background, the polygon centroid are symbolized by x and the ground truth building locations are the circles. We can see most of the generated points fall within the ground truth locations!
bld_pts <- SpatialPointsDataFrame(coords=coordinates(footprints), data=footprints@data, proj4string=CRS("+proj=utm +zone=10 +datum=NAD83 +units=m +no_defs +ellps=GRS80 +towgs84=0,0,0 ")) plot(nDSM, main = 'nDSM, truth Points and Model Generated Points') points(bld_pts,pch=3) points(stat_points, cex= 3)
Below is the summation of the steps above. This model has three inputs, the two rasters and a polygon size which removes polygons below that value.
Finn <- function(dsm,naip,poly_area){ #------------Remove Features to make bare surface------------ para<-summary(dsm) # finds 3rd Qu. of the data which is used to determine what features are above the bare earth dsm_min_less <- ((dsm) < round(para[4])) # removes those features dsm_min_less[is.na(dsm_min_less)] <- TRUE # changes the data from logic to number dsm_min_holes <- mask((dsm), dsm_min_less,inverse=TRUE, maskvalue=1) #repopulates the raster with bare earth values #--------------Fills Hole In Bare Surface-------------- fill.na <- function(x, i=5) { #fill focal fucntion if( is.na(x)[i] ) { return( (mean(x, na.rm=TRUE)) ) } else { return( (x[i]) )}} f3 <- matrix(1,3,3) #fileter kernalsd dem <- focal(dsm_min_holes, w = f3, fun = fill.na, pad = TRUE, na.rm = FALSE ) while (summary(dem)[6]>0){ dem <- focal(dem, w = f3, fun = fill.na, pad = TRUE, na.rm = FALSE ) } # till they are filled #--------------------------------nDSM-------------------------- nDSM<- dsm-dem # normalizes the the DSM so all features have the same starting z value #-------------------------------- Masking---------------------------- fuzz<-summary(nDSM) features <- (nDSM > (round(fuzz[5]/6))) # selects features above and below a certain z value nDSM_features <- mask(nDSM, features, inverse=FALSE, maskvalue=0, updatevalue=NA, updateNA=FALSE) # naip_features <-mask(naip, features, inverse=FALSE, maskvalue=0, updatevalue=NA, updateNA=FALSE) strutures <- (naip_features < ((summary(naip_features)[4]) + (summary(NAIP)[4]))/2 ) #--------------------------------------------------------------------------- pol <- rasterToPolygons(strutures, fun=function(x){x==1}, dissolve=TRUE) # takes logic ==1 and turn into polygons feet <- disaggregate(pol) # makes pol into many polygons #----------------------------------------------------------------------------- feet$AREA <-area(feet) # creates and populates a column for the size fo each polygon footprints <- feet[feet$AREA > (poly_area),] # selects polygons based on size bld_pts <- coordinates(footprints) # get coordinates for polygons bld_pts <- SpatialPointsDataFrame(coords=bld_pts, data=footprints@data, # calucates the centoid of the polygons proj4string=CRS("+proj=utm +zone=10 +datum=NAD83 +units=m +no_defs +ellps=GRS80 +towgs84=0,0,0 ")) }
This is great, but how will the model fair with a different location? Remember back where we imported the data? Well, there are three more sites we can use as different inputs, and the output centroids never goes below 95% accuracy at these locations. The drop in accuracy occurs for several reasons. The first being, that there are objects other than vegetation that emit or reflect near infrared well, these features can be rooftops and in the figure below this effect can be seen. The feature is a white roofed building that reflects very strongly in the near infrared band (green), and is noted by a circle without an x.
stat_points <- readOGR(dsn="data/ShapeFiles", layer="grd_pts_lar") #shapefile dsm_min<- raster('data/Rasters/DSM_lar.tif') NAIP<- raster('data/Rasters/NAIP_lar.tif', band = 4) points<-Finn(dsm=dsm_min,naip=NAIP,poly_area=24) plot(NAIP) plot(points, add=TRUE, col='blue') plot(stat_points , add=TRUE, pch = 1, cex=3)
Another source of error is due to the pixel size and structure's distances from each other. When structures are two or less pixels from each other there is a high likelihood that bleed over may connect the two structures and the model will view them as one.
stat_points <- readOGR(dsn="data/ShapeFiles", layer="grd_pts_job") #shapefile dsm_min <- raster('data/Rasters/DSM_job.tif') NAIP <- raster('data/Rasters/NAIP_job.tif', band = 4) points<-Finn(dsm=dsm_min,naip=NAIP,poly_area=38) plot(dsm_min) plot(points, add=TRUE, col='blue') plot(stat_points , add=TRUE, pch = 1, cex=3)
As observed in the breakdown the model has high accuracy for the study area. However, the model has yet to be used in regions with high variations in topography, and since the model needs the highest bare earth region in the image to be lower than the lowest rooftop a dynamic clipping grid is needed for large raster processing. The model has the ability to find structures larger than 24 pixels (24 square meters), and this is a function of the raster’s pixel size. Thus, if the inputs raster’s have a resolution of 0.5 meters the model would be able to find structures larger than 7.5 square meters. However, there is much more work to be done.
This model is apart of a larger ambition to process larger DSM rasters with variation in topography. In which, larger rasters will be dynamically cliped by there slope and aspect properties and the premise that structures are always higher than 3 meters. Furthermore, there is room for improvement in the model’s ability to find structures. Remember the building that was not recorded due to its NIR value? I plan to add more variables to the current model that further increase the accuracy. One thought on this, is to use or make an index that distinguishes the spectral reflectance of rooftops. These improvements will take place starting in April using Python in Robert Kennedy's course.


This is the website we created for our first group project. On here we utilized the API's from yelp, edamam and geolocation to give the user instant information on recipes with nutrition facts and nearby location(s) to eat.


What it does
It automates all that's reasonably possible and allows you to purely focus on your code. Say no to manual efforts of running and testing your code against expected outputs.
+++ title = "CP Editor" linkTitle = "CP Editor" +++
It automates all that's reasonably possible and allows you to purely focus on your code. Say no to manual efforts of running and testing your code against expected outputs.
It can fetch testcases automatically from almost all competitive programming sites. No more copy-pasting!
With a single click you can run your code on multiple test cases and get verdicts.
Thanks to CF tools, It can submit your solution directly to codeforces and show you verdict without leaving the editor.
You can run your code with one click without saving and the hot exit feature makes it easy to restore your code from the last session.
Get Started NowWe have added five different themes for you to choose from: Light, Drakula, Monkai, Solarized Light and Solarized Dark. More themes are coming in the near future.
Get Started NowUsing Language Servers, we provide real-time linting for errors and warnings in your code. You can see squiggles under the code and hover over them to get useful tooltips.
Get Started NowWe have gathered the best tools in competitive programming and merged them into one editor. One such tool is called CF Tool. We have added it so you can submit and get verdicts in the editor.
Get Started Now We have made a simple UI with lots of flexibility and customisation and seamlessly adapts to your existing environment.
Everything you need is always in front of your eyes
Our Community support us and keep us alive. We would love to hear your feedback too!
See what other Competitive Programmers have to say about our editor
We officially support three languages in the editor. You can set your own compilation commands and pass runtime arguments to your code. It really gets exciting when you have the opportunity to use different languages in different tabs with one-click options.
Get Started NowWe are excited that you have chosen to try out this editor.
We hope that our Editor will fulfill all your needs in Competitive Programming.
CP Editor is, "by competitive programmers, to competitive programmers, for competitive programmers".


--- title: Alistair Cockburn and the Elephant Carpaccio excerpt: Alistair Cockburn's Heart of Agile talk and Elephant Carpaccio exercise. date: '2022-06-15 18:37:14 +0100' categories: - Agile - Malmo - Motivation - Teams image: path: /assets/images/social/alistair_cockburn_skatteverket.jpg ---
Today we had the pleasure to meet and listen to none other than Alistair Cockburn - Agile Manifesto co-author and Heart of Agile Founder - when he visited The Swedish Tax Agency (Skatteverket).
As with everything agile, it wasn't just talk though: it all started with Alistair dancing Argentine Tango with a member of the audience :)
After his inspirational talk, Alistair facilitated his Elephant Carpaccio exercise. It was so exciting to participate and see the teams demo working software after each 8-minute Sprint! And to those wondering, yes, we did go live in Utah :) I'd recommend this exercise to all who've ever struggled breaking stories into really thin vertical slices (which is most of us at one time or another, I guess).
Collaborate, Deliver, Reflect, Improve. Repeat.
Thanks for a great day of learning Alistair, and all who participated. And many thanks Fredrik Carleson and others at Skatteverket who made this happen!


| Interface | Description |
|---|---|
| GUIFileActionListener |
This interface represents the super class of the GUI panels,
It is used for synchronizing the GUI panel data and data in the model
|
| Class | Description |
|---|---|
| ConfigProperties |
This class stores all the configuration information to be written to output
and the properties loaded from input file
It does not create any HashMap instances, so these responsibilites are on the creator
and be careful when modifying the globalProperties and propertyMap because
the original data would also be modified
|
| GUIMainDriver |
Main driver for GUI class
|
| GUIMediator |
This is one of the important classes that coordinates between GUI and model
Its main operations are :
1. to start and initialize the GUI and Sphinx model
2. drive the input - output operation, and
3. to retrieve the most updated data from GUI or to update GUI of the new loaded data
|
| PanelConfigurable |
This is a Panel that will handle the GUI of one particular section/group
|
| Exception | Description |
|---|---|
| GUIOperationException |
This exception is thrown when there is any error during GUI operations
|


There's an interactive orchestral Undertale concert heading to Chicago
On Toriel.
News by Imogen Beckhelling, Reporter Intern Updated on 15 November 2019
Next year, Undertale is getting an interactive musical adventure, which will showcase the game's brilliant score and allow the audience to make choices that will influence the performance.
Undertale LIVE takes place on 11th January at Studebaker Theatre in Chicago, Illinois, and will feature original arrangements from music director Eric Roth, as well as visuals from the game to accompany the music.
The company producing the show, AWR Music Productions, is also responsible for the "internationally acclaimed" Final Fantasy live music concerts, so it seems Undertale is in good hands.
There's only one show for Undertale announced so far, the World Premiere - and by the looks of things it's already sold out.
If the concert is successful maybe we'll see more of this type of production for Undertale - but in the meantime, if you want to hear more music by Undertale's creator, Toby Fox, he recently revealed he composed a track for Pokémon Sword and Shield.


STEFANIE TAM
INFORMATION
06.2018; book: 6"x9.5", 3"x4.25"; posters: 24"x36", 18"x24"
From Waste to Change is a designed activism and sustainability project containing two triptych poster series, a book documenting a week's worth of waste, and a sticker packet to record your changed wasteful habits.
Archiving a total of 45 items of trash and their respective wasteful habits, FWTC offers 45 objectives in response to propose a healthier, more sustainable lifestyle.


Before Change
// The following shows pcolor plots with a log scale.
N = 100
X, Y = np.mgrid[-3:3:complex(0, N), -2:2:complex(0, N)]
// A low hump with a spike coming out.
// Needs to have z/colour axis on a log scale so we see both hump and spike.
// linear scale only shows the spike.
After Change
// The following shows pcolor plots with a log scale.
N = 100
X, Y = np.meshgrid(np.linspace(-3, 3, N), np.linspace(-2, 2, N))
// A low hump with a spike coming out.
// Needs to have z/colour axis on a log scale so we see both hump and spike.
// linear scale only shows the spike.


Any Other Help
If you want any other help then you can e-mail us on following addresses:
<EMAIL_ADDRESS><EMAIL_ADDRESS>We will try our best to help you & solve your problems.
Suggestions are invited to our e-mail addresses.
Home


| RtAudio | Realtime audio i/o C++ classes |
| RtAudioDeviceInfo | The public device information structure for returning queried values |
| RtError | Exception handling class for RtAudio & RtMidi |
| ©2001-2005 Gary P. Scavone, McGill University. All Rights Reserved. Maintained by Gary P. Scavone<EMAIL_ADDRESS>|


This section contains frequently asked questions about the JupyterHub deployment. For information on debugging Kubernetes, see Debugging.
You probably deleted the specific nodes, but not the Kubernetes cluster that was controlling those nodes. Kubernetes is designed to make sure that a specific set of resources is available at all times. This means that if you only delete the nodes, but not the Kubernetes instance, then it will detect the loss of computers and will create two new nodes to compensate.
JupyterHub isn’t handling any of the billing for your usage. That’s done through whatever cloud service you’re using. For considerations about managing cost with JupyterHub, see Appendix: Projecting deployment costs.
Each Helm Chart is packaged with a specific version of JupyterHub (and other software as well). See see the Helm Chart repository for information about the versions of relevant software packages.


Shiv Sena leaders meet governor amid stalemate over govt formation
The Sena leaders met Maharashtra Governor Bhagat Singh Koshyari at 5 pm, a Raj Bhavan official said
by PTIShiv Sena MP Sanjay Raut along with Maharashtra minister Ramdas Kadam on Monday met Governor Bhagat Singh Koshyari here amid the stalemate over government formation after the October 21 Assembly polls.
The Shiv Sena leaders met Koshyari at 5 pm, a Raj Bhavan official said.
The development came at a time when the BJP and the Shiv Sena are engaged in a bitter tug-of-war over the equal distribution of cabinet portfolios and the term of chief minister's post for 2.5 years each.Special Thursday Expiry on 10th 7th Nov
Early Closure to The Great Diwali Discount. Last Chance to get Moneycontrol PRO for a year @ Rs. 289/- only
Coupon code: DIWALI


For Developers
Automation
Class Filter on Automation Scripting
It is no longer possible to perform Java imports from an Automation Script, as a class filter has been added to the Nashorn VM. This has been done for security and maintenance reasons.
Platform Functions Available in Automation Scripts
You can use Platform Functions under the Fn object like in Automation chains in Automation script, as it has been added to Nashorn context.
Helpers Automation
An extension point has been implemented to configure new function helpers to the automation module:
HTTP Helper
A new helper for HTTP calls as been added. It can be used to perform external services API calls right from an automation script. See exemples for our documentation.
Elasticsearch
Elasticsearch API Passthrough
A proxy API has been implemented on the Nuxeo Platform so you can use native Elasticsearch GET queries as documented on the Elasticsearch documentation website. The proxy will ensure that only those documents each end user has the right to view are returned in search query results. Thanks to this feature, Elasticsearch-skilled developers can add the Nuxeo Platform in their architecture and benefit from a secure and modular content store with an extensible content management user interface, while still implementing their front office with JavaScript ES sdk.
Elasticsearch Hints
Elasticsearch hints have been added to NXQL and to the page provider object. It allows you to use native Elasticsearch operators in your query when using an Elasticsearch page provider. This will help you build content applications with fuzzy search support, phrase search, using specific tokenizers (arabic, chinese, phonems), as well as run geographical queries against the repository, such as searching for all photos that where taken within a scope of 5 miles around the Brooklyn bridge. It also allows you to hit specific index fields. The Nuxeo Studio Content View feature has been updated to support the declaration of Elasticsearch hints (operator, analyzer and field). Read the following documentation for more information.
API Evolutions
File Support on Workflow API
You can now upload a file for completing a task using Workflow REST API.
Reassign and Delegate Task Endpoints
Workflow Rest API provides ways to reassign or delegate a given task.
Get Rendition Operation
This new operation allows you to fetch a given rendition on a document in input.
Conversion
A web adapter has been added on REST API: /@blob/file:content/@convert?format=pdf for getting a conversion of a binary property, given a converter or a target mime type (as parameters).
Workmanager Find Method
A Java method has been added on workmanager service for performing an optimized search of a given job.
JSON Export of Layout and Widgets
This new API endpoint allows you to get the layout and widgets instances serialization in JSON for helping you build specific front office UIs, while leveraging the forms and data display you have declared in Nuxeo Studio.
UI
Pluggable File Widget
View mode of file widget is pluggable: you can contribute actions to display new links besides the file download link.
JavaScript List Widget
A second implementation of the generic List widget is provided in JavaScript that fixes many bugs encountered on the initial implementation. This is the one used by default on Fast Track and it has been back ported as an option in 6.0.
REST Endpoint for CSS and JS Resources
A new endpoint is available for serving CSS and REST resources on a web page of Nuxeo Platform Web UI. This is a first step of the refactoring that will lead to the removal of the use of the legacy Theme framework.
OAuth Service Providers Extension Point
It is possible to plug new OAuth Service providers with custom logic on parts where the protocol is not precise enough.
Web Components and Polymer
We have started to add Polymer dependencies to the build. You will notice a new tab for managing rights on a document now appears, but it is disabled by default, as this is still a work in progress using Polymer.
Removal / Deprecation
- OpenSocial and dependencies have been removed from build.
- CMF and dependencies have been removed from build.
- Faceted Search is deprecated.
- Placeful service was removed.


Keys are both in Active Directory and client LSASS memory
We can find:
DES key
RC4 key (this is the NTLM hash of the password, no domain salt!)
AES128 and AES 256 keys (with NT 6)
New "Protected Users" group prevents keys in client LSASS memory
Of course not on the DC itself
AES Keys use PBKDF2
These hashes are salted
4096 iterations of the PBKDF2 algorithm
Difficult to crack
Of course these hashes are cached in memory on the client side and then used as password equivs, just like NT hashes
This is how you fail with strong cryptography


---
layout: page
title: "Section 1: Build Android and Inside Dalvik"
---
Part 1: BUILD THE SYSTEM FROM SCRATCH
In this section, you will learn how to build Android environment from scratch.
Follow the instructions below, you will build your own executable Android operating system.
Build the Environment
Your first task is to download the source code of android, compile it and run it in an emulator.
Here is the official tutorial.
The developer website will give you more knowledge about android.
In this section, we will briefly introduce the process of the Android Environment building and give you some hints.
- Build the environment
Some required packages should be installed and some environment variables should be configed in this step.
However, don't worry about that, it's easy. Google do well in this part.
Tutorial is here.
Hint:
- Ubuntu is highly recommended.
- Never use Virtual Machine(VMware/Kvm/Xen). Otherwise, it will be too slow to compile Android from source code.
-
Download the source code of android
This process is also easy and manifest. Just follow the tutorial on Android official sites.
Hint:
- It takes a long time for your downloading which is about several hours. A good option is going to sleep when you entered the download command.
- When you find your download trying failed, it is not the end of the world. Just try "repo sync" again.
-
Build the Android
After a long and tough downloading procedure, you can build the whole android now!
Follow the steps in this page.
Hint:
- Use command "make -j N" to build the system which N is your core number.
-
Run the Emulator
Congratulation!! Finally, you have made it. :)
Run the command "emulator" to find out whether your effort works properly.
Preliminary Hacking: Hack Initial Logo
Now, we have our own Android which is running on emulator. It's time to do something interesting.
In order to verify our compiling process, we are going to hack the initial logo to "Hackdroid".
This game is pretty easy to cover just follow the above steps:
- Download the initial logo here.
- Copy the file to the folder path/to/android/out/target/product/generic/root/.
- Rebuild Android and run emulator. You can see the figure below.
More information about Android boot image is availiable here.
(The boot logo comes from this thread on xdadevelopers.)


You play Adam Jensen, an ex-SWAT specialist who hasbeen handpicked to oversee the defensive needs of one of America has most experimental biotechnology firms. Your job is to safeguard company secrets, but when a black ops team breaks in and kills the very scientists you were hired to protect, everything you thought you knew about your job changes.
Title: Deus Ex: Human Revolution
Genre: Action, RPG
Developer: Eidos Montreal ,Feral Interactive (Mac)
Publisher: Square Enix, Feral Interactive (Mac)
Release Date: 25 Oct, 2013
Languages: EN/FR/DE/IT/ES/PL/RU


Line of Duty series six will star Kelly Macdonald as AC-12's next suspect
Filming for the new series will start next year
by Kathryn WilliamsThe sixth series of Line of Duty series has signed up Trainspotting and Boardwalk Empire star Kelly Macdonald.
Scottish actress Kelly will play Detective Chief Inspector Joanne Davidson, the senior investigating officer of an unsolved murder, whose unconventional conduct raises suspicions at AC-12.
Macdonald is best known for her roles in Trainspotting, Gosford Park, State Of Play, No Country For Old Men, Boardwalk Empire and, most recently, The Victim and Giri/Haji.
She will start work on Line Of Duty series six when filming begins next year, opposite Martin Compston, Vicky McClure and Adrian Dunbar, who are also confirmed to return.
Line of Duty writer and showrunner, Jed Mercurio, says: "We're honoured that Kelly Macdonald will join Martin, Vicky and Adrian in series six of Line Of Duty. DCI Joanne Davidson will prove the most enigmatic adversary AC-12 have ever faced."
Star of the show, Vicky McClure tweeted her excitement about the revelation:
The most recent episode of Line Of Duty, series five’s finale on BBC One back in May, is the most watched programme of the year so far, with a 28-day figure of 13.7 million viewers across all TV and online viewing.
Further information about the new series will be revealed in the near future.


Manual slides ideal for stage presentation.
Automated presentation with scenarios and automatic slides.


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Strescon Limited
Mailing Address:
400 Chesley Dr.SAINT JOHN, New Brunswick
E2K 5L6
Location Address:
101 Ashburn Lake RdSAINT JOHN, New Brunswick
E2J 5B8
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
Strescon is one of the largest Precast/Prestressed concrete
products manufacturers in Canada. Strescon is certified by the
Canadian Standards Association(CSA)and the Precast/Prestressed
Concrete Institute (PCI)and also holds a Canadian Welding Bureau
(CWB)division1 certification. Strescon is a member of the Ocean
Steel and Construction (OSCO)group, the Canadian
Precast/Prestressed Concrete Institute (CPCI), the
Precast/Prestressed Concrete Institute (PCI),the New England
branch of PCI, the American Concrete Pipe Association and the
Atlantic Provinces Ready Mix Concrete Association.
Strescon has manufacturing plants in Saint John New Brunswick
and Halifax Nova Scotia. Strescon manufactures a complete line
of precast/prestressed concrete products including concrete
pipe. Strescon is also a supplier of ready mix concrete.
Strescon has won awards for excellence in Architectural Precast
Concrete from PCI and ACI and a Grand Achievment Award from the
Maine Quality Initiative Steering Committee.
Strescon fabricated,supplied and installed over 6000 tons of
precast concrete products for the Stora Forest Industries paper
machine building in Port Hawkesbury N.S. Strescon is also
supplying over 400 prestressed concrete girders for the Atlantic
Expressway between Moncton N.B. and Fredericton N.B.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
12"(300),15"(375),18"(450),21"(525),24"(600),27"(675),30"(750),36
"(900),42"(1050),48"(1200),60"(1500),72"(1800),84"(2100),96"(2400
),120"(3000),144"(3600)
Joints available: Confined "O" ring,single offset with Hamilton
Kent's Tylox super-seal Gasket
Also available: manholes,catchbasins,Stormceptor stormwater oil
and sediment separation system,box culverts,Strespan arch style
shortspan bridges,utility vaults,light pole bases. Normal&low-
alkalai cement,flyash&silica fume available in all products
median barriers
loadbearing & non-loadbearing, Bridge Girders both AASHTO shapes
and bulb-tee shapes including the New England bulbtee, parking
garages, enviornmental tanks, 8"&10"hollowcore plank, pipe
racks, conveyor galleries, piling, voided slab bridges, bleacher
seats, channel bridge slabs
Low Alkalai silica fume cement and flyash available
Technical support, Project Developement, Design Build
prestressed insulated wall panel system both loadbearing and non-
loadbearing
Technical support, Project development, Design build
Market profile
Alliances:
- Sales/Marketing
Geographic markets:
Export experience:
- Bermuda
- Connecticut
- Maine
- Massachusetts
- New Hampshire
- New York
- Rhode Island
- Vermont
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
12"(300),15"(375),18"(450),21"(525),24"(600),27"(675),30"(750),36
"(900),42"(1050),48"(1200),60"(1500),72"(1800),84"(2100),96"(2400
),120"(3000),144"(3600)
Joints available: Confined "O" ring,single offset with Hamilton
Kent's Tylox super-seal Gasket
Also available: manholes,catchbasins,Stormceptor stormwater oil
and sediment separation system,box culverts,Strespan arch style
shortspan bridges,utility vaults,light pole bases. Normal&low-
alkalai cement,flyash&silica fume available in all products
median barriers
loadbearing & non-loadbearing, Bridge Girders both AASHTO shapes
and bulb-tee shapes including the New England bulbtee, parking
garages, enviornmental tanks, 8"&10"hollowcore plank, pipe
racks, conveyor galleries, piling, voided slab bridges, bleacher
seats, channel bridge slabs
Low Alkalai silica fume cement and flyash available
Technical support, Project Developement, Design Build
prestressed insulated wall panel system both loadbearing and non-
loadbearing
Technical support, Project development, Design build
Market
Market profile
Alliances:
- Sales/Marketing
Geographic markets:
Export experience:
- Bermuda
- Connecticut
- Maine
- Massachusetts
- New Hampshire
- New York
- Rhode Island
- Vermont


Joyce Rene' Kelly
Republican
Executive Director Colorado Pork Producers Council
Masters in Agriculture/Education; The University of Arizona
80631-9671
As best as I recall, I have contributed to the following political campaigns: Perry Buck County Commissioner, Weld County $200 Cory Gardner, Senate $500 Mike Freeman, Weld County Commissioner $500
Colorado Ag Leadership Program Class XI Colorado Assn of Conservation Districts Jefferson County 4-H City of Greeley Storm Water Commission Colorado Food Systems Advisory Council (Gov Hickenlooper appointment) Colorado Pork Producers Council Greeley Chamber of Commerce Ag Committee
Grew membership participation in Jefferson County 4-H from 2,500 to 15,000+ Expanded disaster assistance programs and budgetary expenditures for community disaster relief with in West Greeley Conservation District to $5,000 per land owner and development of grant assistance program for members 500+ recipients of assistance) Expanded the first Farm help program for Colorado Corn Grower membership Conducted conflict resolution sessions and leader training in Jefferson County Extension Committee to organize Governor's Forum for Ag, Colorado Lower South Watershed committee watershed protection plan committee South Platte Ag Nutrient Stakeholder Committee member
I think the single most important issue is balanced and fair representation of all residents, by our elected officials. Fair and reflective redistricting measures are of paramount importance for our states residents regardless of where they live. Each area is unique and has special needs that need to be carefully considered. I feel I can be impartial and fair, guaranteeing sound district boundary developments. I work for an organization which represents a diverse population of over 1000 pork producers. Understanding that different voices exist and deserve a balanced and fair representation.
When seeking to promote consensus I would help the group to identify all areas in which we agree, highlight the strengths and weaknesses of the alternatives available from the areas in which agreement does not exist; and then merge the thought process into a third alternative that combines those areas of agreements across the group. These processes would help move the group forward until an agreement can be reached. The entire success of being fair and impartial is to understand that often there is no one completely right answer for all involved and that to get to the finish line is a game of give and take. My ability to be fair and impartial is based upon objectives of the group rather than my personal bias or prejudice.
Worked as a research assistant collecting data, collecting surveys and assimilating findings. Also, served as a conflict resolution specialist for youth development groups; in order to logically analyze an issue I try to gather as much information as possible through testing alternatives, observing outcomes and interpreting new data all the time including new information into the possible solution.
female


Nogrongoro Crater is the world’s largest unbroken caldera.
Often referred to as “Africa’s Garden of Eden,” the crater is home to over 30,000 animals including elephants, lions, cheetahs, wildebeests, buffaloes, and the rare black rhinos.
View Wildlife of Nogrongoro Crater to learn more about the wildlife and View Birds of Nogrongoro Crater to discover some of the many species that are found in the area.


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APPLETON ESTATE EXTRA RUM
LCBO 105742 | 750 mL bottle
Price $ 34.95
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Made in: Jamaica
By: J. Wray & Nephew Limited
Spirits, Rum, Light/Amber
43.0% Alcohol/Vol.
Tasting Note
Deep golden/copper colour; vanilla bean, caramel/molasses, buchwheat honey and spicey cinamon/nutmeg aromas; quite elegant on palate with warm, mildly spicy, brown sugar flavours and a smooth, lingering finish.
Serving Suggestion
Serve neat; on the rocks; with cola; on in cooking recipes.
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Follow the correct build instructions as these may be outdated:
cd Hyperion/
i686-w64-mingw32-g++ Src/Crypter/*.cpp -o hyperion.exe
cp -p /usr/lib/gcc/i686-w64-mingw32/6.1-win32/libgcc_s_sjlj-1.dll .
cp -p /usr/lib/gcc/i686-w64-mingw32/6.1-win32/libstdc++-6.dll .
Now execute hyperion through wine
wine hyperion.exe <my_evil_exe> <encrypted_my_evil_exe>
In Kali you should have hyperion 1 included. However for it to work you have to run it from it's correct path. So go to /usr/share/veil-evasion/tools/hyperion


It is a team programming contest which will be conducted in two stages. In the first stage, an online contest will be conducted on HackerEarth where top 30 teams from BIT and top 20 from other colleges will be selected. Although there would be a common rank list for all years, top 5 teams from first year will be selected to go to the next round as well. There would be multiple problems and points would be allotted on solving the problems totally.
1. The contest will have the ACM ICPC Style Rank List.
2. There is no restriction on the programming language.
3. All the problems have same points allotted to them.
4. Users are ranked according to the most problems solved. Ties will be broken by the total time for each user in ascending order of time.
5. The total time is the sum of the time consumed for each problem solved. The time consumed for a solved problem is the time elapsed from the beginning of the contest to the submission of the first accepted run plus 20 penalty minutes for every previously rejected run for that problem (Wrong Answer, Time Limit Exceeded, Runtime Error, etc).
6. There is no time consumed for a problem that is not solved.
7. The decision of the organizers in declaring the results will be final. No queries in this regard will be entertained.
8. Any participant found to be indulging in any form of malpractice will be immediately disqualified.
9. Students of all years are allowed to participate.
Team Size: 3(maximum)
Aashray-8294263760
Prasun-8252210305


[1] Gonzalez, Rafael (2002). Digital Image Processing (2nd Edition). Prentice Hall.
[2] Zakia, Richard (2013). Perception and Imaging: Photography—A Way of Seeing
[3] Burnett, Ron (2004). How Images Think. Cambridge, MA: The MIT Press.
[4] Tanimoto, Steven (2012). An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs. Cambridge, MA: The MIT Press.
[5] dr.mo. (2014). Re: Increase Contrast of an Image. Message posted to http://forum.processing.org/one/topic/increase-contrast-of-an-image.html
[6] Oskar and Zalun. Step-down downsample + sharpen convolution. JSFiddle. Retrieved: March 30, 2015, from http://jsfiddle.net/AbdiasSoftware/ddJZB/


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{% trans profile_url=urls.profile_redirect %} You can reset to the default theme, but you will need an API key to trigger the API end point from the command line. {% endtrans %}
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OU women's gymnastics: Reigning NCAA champion Sooners ready for White House trip
by Ryan AberNORMAN — K.J. Kindler remembers walking into the White House two years ago, seeing a portrait of John F. Kennedy and feeling a bit of a chill.
“That was really just amazing to be in there and to see just all the artwork on the walls and all the history and how many people will never be able to see that,” the Oklahoma women’s gymnastics coach said. “It smells old. It’s like you’re walking through and old, old home.
“You can’t even begin to imagine the people who have been there before you.”
Kindler and the Sooners will make their return to the White House on Friday morning. The team flew to Washington, D.C., on Thursday night and will return late Friday after some sightseeing.
The invitation from the White House came earlier this month. Oklahoma will be honored as part of “NCAA Champions Day.” Several other national championship teams from the most recent season will be honored.
While some teams in recent years, mainly in professional sports but some college teams as well, have decided not to visit the White House for various political reasons, Kindler said there was never any thought given toward turning down the chance.
“Not for a second. I would never, No. 1, speak for my athletes and not at least give them the opportunity,” Kindler said. “I think that’s a personal decision and if anyone didn’t want to attend for a political reason we would obviously support that.”
The entire team, including the four seniors from last year’s team, were expected to make the trip.
Maggie Nichols was one of the gymnasts who made the trip in 2017.
“For us, we look at it as an honor to be invited. Winning a national championship is such a huge deal,” Nichols said. “We’re taking it as more of an honor rather than looking at the negatives.”
Nichols said she was most looking forward to spending time together with her teammates, especially those who have moved on, away from Norman.
Jordan Draper hasn’t been to D.C. before and said she’s most looking forward to seeing the Oval Office.
“I know a lot of big decisions were made in that office so that’ll be really cool to see,” Draper said.
Oklahoma did not receive an invite after winning titles in 2014 or 2016.
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--- title: What methods do I need in an S3 object? author: Zhian N. Kamvar date: '2019-07-19' slug: what-do-i-need-in-an-s3-object categories: - R - good-practice tags: - S3 - programming - R - functions - packages - oop draft: true ---
For the past few months, I’ve been working on the R4EPIs project, in which we are trying to create standardized templates and training for field epidemiologists (epis) to use R in their work. One of the challenges we ran into during this project was the need to aggregate weekly data starting on Saturdays. The only packages (that we knew of) to handle weeks were either ISOweek and lubridate, and they could only handle weeks starting on Monday and Sunday1. After not being able to find a simple way to perform this task, I decided to create the aweek package to easily translate dates to weeks and back again.
In order to complete this task, I knew that I needed to create a new R object
that could hold ISO-formatted weeks (e.g. 2019-W29-5),
and remember which day the week started on. I settled on the concept of adding
an attribute called week_start
to a character vector. This attribute would be
an integer from 1 to 7, representing the day of the ISO week that this
representation of a week started on. This way, R would always know how to
convert that week to a date.
I had followed the S3 section of the OO field guide, for creating an object
and defined a few methods for it: print.aweek
, as.Date.aweek
,
as.POSIXt.aweek
and as.character.aweek
. I wrote code, wrote tests, and
validated the conversions from dates to weeks and back again and was largely
satisfied with the result 😁… that is until I tried to subset
the objects 🙈:
library("aweek")
d <- Sys.Date()
w <- date2week(d)
str(w)
#> 'aweek' chr "2019-W10-4"
#> - attr(*, "week_start")= int 1
str(w[1])
#> chr "2019-W10-4"
It turns out that you need to define the [
and c
methods for your S3
objects if you want to be able to slice and combine them, respectively. I fixed
that bug, but began to run into other bugs that dropped the aweek class such as
subsetting with [[
or attempting to convert to data frames. I realized
that I wasn’t sure exactly what methods I should use to make sure my class was
robust to things people would possibly want to do with it and decided to figure
out what other classes did, and I found somewhere that the methods()
function
exists and will show you all the public methods for an S3 object:
methods(class = "Date")
## [1] - != [ [[ [<-
## [6] + < <= == >
## [11] >= as.character as.data.frame as.list as.POSIXct
## [16] as.POSIXlt Axis c coerce cut
## [21] diff format hist initialize is.numeric
## [26] julian length<- Math mean months
## [31] Ops pretty print quarters rep
## [36] round seq show slotsFromS3 split
## [41] str summary Summary trunc update
## [46] weekdays weighted.mean xtfrm
## see '?methods' for accessing help and source code
That gave me a place to start because I realized immediately that I didn’t have
a [<-
or [[
method defined, which was pretty important. I ultimately settled
on the following methods for aweek objects:
library("aweek")
methods(class = "aweek")
## [1] [ [[ [<- as.aweek as.character
## [6] as.data.frame as.Date as.list as.POSIXlt c
## [11] print rep trunc
## see '?methods' for accessing help and source code
Out of these, the [
, [[
, [<-
, and c
methods are probably the most
important because that’s ultimately how users will be interacting with these
objects, everything else comes down to what specific features your object has.
we found out later that lubridate COULD actually convert dates to week numbers starting on any day, but it wasn’t precisely what we needed].↩