The Scheme Request for Implementation process is documented elsewhere. This document is intended to provide some of the rationale about SRFIs rather than cluttering up that document.
The SRFI process grew out of the Scheme Workshop held in Baltimore, MD, on September 26, 1998, where the attendees considered a number of proposals for standardized feature sets for inclusion in Scheme implementations. Many of the proposals received overwhelming support in a series of straw votes. Along with this there was concern that the next Revised Report would not be produced for several years and this would prevent the timely implementation of standardized approaches to several important problems and needs in the Scheme community.
The SRFI process is a service provided to the Scheme community by the editors, currently Arthur A. Gleckler. See SRFI History for information on the previous editors. As of July, 2015, SRFI is hosted on new mail and web hosts. (See the new Hosting Plan.)
Yes and no. SRFIs are not official standards. There exist organizations such as ISO, IEEE, ANSI, etc. who are set up to develop official standards. The SRFI process is designed as an attempt to maximize the quality of SRFIs within the constraint of not assigning authority to anyone.
There are official Scheme standards, ANSI Scheme and IEEE-1178-1990. SRFIs are in addition to these standards.
On the other hand, the process for creating SRFIs is standardized, and each final SRFI remains frozen and publicly available, hence they have many of the properties of standards. So you might choose to think of them as unofficial standards.
No. Each Revised Report has been written by a different body, which determines what eventually is and is not included in that report. The SRFI process is orthogonal to all of these reports. Authors of SRFIs must not expect that their SRFIs will be included, or even be considered, by the authors of reports.
Of course anyone, including authors of future Revised Reports, is welcome to employ the definition and rationale of a SRFI, the discussion surrounding its adoption, and its widespread implementation to argue that the authors of a standard or report should consider adding the contents of the SRFI to that standard.
If SRFIs had existed before R4RS, the macro appendix to that report might have made more sense to have been released as a SRFI. But it didn't. So it wasn't.
There is considerable value in reading the discussions of the RnRS authors, as they have often considered issues that are candidates for SRFIs.
No. SRFIs stands for Scheme Request for Implementation. Note the last word. If someone has amorphous ideas for something that would be cool, but has no idea how it might be done, they should discuss it in journals, workshops, seminars or news groups. When the discussions have coalesced to the point where an implementation strategy is apparent, then it is time to write up a SRFI proposal.
You're not alone! There seem to be lots of people who disagree with the editors on this point. If you have ideas on how this should be done, please send mail to <srfi minus editors at srfi dot schemers dot org>
Not quite. As RFC1796 (Not All RFCs are Standards) says, RFCs serve a variety of purposes. The SRFI editors feel that there are sufficient other venues for discussion of ideas. The point of SRFIs is that a programmer can dependably test to see what features a Scheme implementation provides, and can therefore program in a portable way beyond the bounds of standardized Scheme.
The time periods are an attempt to drive the SRFI process as quickly as possible while maintaining sufficient time for sober second thought. To maximize the quality of SRFIs, we want all of the relevant people to be involved in the discussion of any particular SRFI proposal. Many of those people are very busy, and this mechanism constrains the time commitment they must make to stay on top of a proposal. It also prevents discussion on a proposal from dragging on in an endless repetition of the same points, long after anyone's opinion is likely to be changed.
The other issue in the timing is to prevent editors from stone-walling a proposal. It is not their job to make qualitative judgments about proposals, but rather to maintain the quality while expediting the creation of important unofficial standards.
If a proposal is still under discussion after 90 days, it means that it has been extended several times. The editors will normally extend the discussion period to maintain a minimum of 15 days after any significant change. Any proposal still under active discussion and revision after 90 days is not ready for codification. It will then be withdrawn for a (normal) minimum of 30 days, after which it may be resubmitted. If it is now in good shape, it will likely become final after the 60-day discussion period. Thus, it will have been delayed a maximum of 90 days. This is likely to happen only in very exceptional cases, and is the only cost of the fixed time periods.
To have enforcement, there must be authority. There is no absolute authority in the Scheme community, so there can be no absolute enforcement. The final authority is the implementors. If they believe that a particular SRFI documents a useful or important feature, they will add it to their implementations; if not, they won't. The discussion relating to any SRFI will be retained indefinitely, and implementors can refer to that when making their decision. Hence poorly worded, poorly reasoned, or poorly defended SRFIs will be nothing more than a waste of some time — regrettable, but necessary to retain an open process.
See the discussion above about preliminary ideas. SRFIs are about implementation. If you haven't either: (a) built one, or (b) have a very clear outline of how to build one, then you aren't documenting anything useful about implementation. As the process document says, if you think the editors are wrong to withdraw your proposal because it doesn't have a sufficient outline of implementation, then prove us wrong by going and implementing it on some system. Then your SRFI will return to draft, and eventually active status.
We encourage contributors to use R7RS combined with other SRFIs as a basis. However, some SRFIs will require features not present in R7RS and other SRFIs, and that's okay. Furthermore, using other RnRS standards, as well as IEEE Scheme, is acceptable.
It should implement all the features described in the SRFI document.
It should also include automated tests. Having them will help implementors, and that will increase the likelihood that your SRFI will be incorporated in Scheme implementations. It will also help users understand how your SRFI is to be used.
However, if the sample implementation is trivial or not really meant to be used, i.e. it is just a proof of concept, it's okay to omit tests. That should be a rare case.
No specific test framework is required, but both SRFI 64 and SRFI 78 are available.
No. Every SRFI should describe a cohesive feature set that is portable across a variety of Scheme implementations. (Here we mean portable in the sense of being possible to implement, not in the sense of a portable implementation.) Rather than testing to see if the implementation is, e.g. Guile-4.3c, a program should test for the particular features that it requires.
This is a lesson learned from the Emacs world where it used to be that code would check to see what version of Emacs it was running on and make assumptions about the features that that particular version provided. Unfortunately, that made the code un-portable to alternative Emacs implementations that had the required features but different version numbers. The same lesson can be observed in old C code that assumed that such-and-such a system had particular features. More commonly today, C programs use a configuration program that determines what libraries and functions are available, regardless of the system or compiler. The mechanism documented in SRFI 7 essentially provides a similar capability, while staying within Scheme code.
The biggest advantage of checking for features rather than implementations is that code becomes portable to systems of which the author was unaware, assuming that they provide the features that the program requires.
The process document mentions that different SRFIs may conflict with each other. Won't that make it impossible for an implementation to support conflicting SRFIs?
Yes.
Yes.
Alan Bawden suggested RFI at the Scheme workshop as a humorous reference to RFCs. The S was added because the initial editors (and others) felt that "Scheme" should be in there somewhere. If you pronounce it ess-are-eff-eye it certainly is a mouthful, but if you pronounce it surfie, as we do, it's fine. Scheme Implementation Request (SIR) was also proposed.
Please keep the discussion of each SRFI on its mailing list. For example, if you create a pull request, send all your comments to the mailing list. While Github's tools can be convenient, we don't want to lose any of our history to Github. While their APIs make it straightforward to download almost everything (e.g. comments, issues, and pull requests), we don't have code in place to do that automatically.
If you'd rather not use Github to propose SRFIs or
revisions to them, feel free to point the editors at alternate
Git repos or to send us patch files. (Patch files can be
created using git format-patch -M origin/master
or
git send-email
.) If you're a SRFI author and
would rather not use Git, either, just send updated files, or
links to them, or diffs, and we'll check in the changes.
You may include a Markdown version, but you must still submit the SRFI document as HTML.
Below is a snippet from the Makefile
of SRFI 123.
It generates HTML from Markdown using the Pandoc tool (GPL
licensed).
srfi-123.html: srfi-123.md pandoc \ --css=http://srfi.schemers.org/srfi.css \ --from=markdown_github-hard_line_breaks \ --include-in-header=header.html \ --standalone \ --to=html \ srfi-123.md \ >srfi-123.html
Remember that the editors need to make slight changes to the document, e.g. to add to its history of drafts, and won't edit the document in a format other than HTML.
Starting in about 2019, new SRFIs use some of the conventions of the R7RS Small report (PDF), section 1.3.2, a shortened form of which appears here. Note that SRFIs before about 2019 may not follow these conventions.
When speaking of an error situation, we use the phrase “an
error is signaled” to indicate that implementations must
detect and report the error by raising a non-continuable
exception, as if by the procedure raise
. The
phrase “an error that satisfies predicate is signaled”
means that an error is signaled as above. Furthermore, if the
object that is signaled is passed to the specified predicate,
the predicate returns #t
.
The phrase "is an error," however, means that implementations are not required to detect or report the error. In fact, the implementation may take any action whatsoever, such as signaling an error, extending a procedure’s behavior, or failing catastrophically. If the value of an expression is said to be “unspecified,” then the expression must evaluate to some object without signaling an error, but the value depends on the implementation.
Finally, the words and phrases “must,” “must not,” “shall,” “shall not,” “should,” “should not,” “may,” “required,” “recommended,” and “optional" are to be interpreted as described in RFC 2119 unless otherwise specified. They are used only with reference to implementer or implementation behavior, not with reference to programmer or program behavior.
We are happy to accept contributions. We'll publish your code in
the SRFI's Git repository. Please
include a README
file, and use the copyright notice
from the SRFI process.
Please send email to<EMAIL_ADDRESS>See Errata in the Process document.
The history of this document is here.


The bible resource is the API's root. You can navigate through all services from here. That means you can fetch all available bibles with the URL /bibles or a specific bible by requesting /bibles/{bibleId}, or even navigating through nested services like /bibles/{bibleId}/books/{bookId}/chapters/{chapterId}/verses/{verseId}.
The services you can access from here are listed bellow.
| Name |
|---|
| Bibles list |
| Bible |
| Books list |
Fetch the bibles list.
| URL | /apirest/bibles |
| Method | GET |
| Content-type | application/xml, application/json |
| Results | 200 OK, XML|JSON |
| Name | Description | Type | Default |
|---|---|---|---|
| start | The first element to return (> 0) | integer | 1 |
| pages | The number of pages to return (> 0 <= 2) | integer | 1 |
| Name | Description | Type | Default |
|---|---|---|---|
| Accept | The content-type that will be acceptable in response | string | application/xml |
Fetch a bible by id.
| URL | /apirest/bibles/{bibleId} |
| Method | GET |
| Content-type | application/xml, application/json |
| Results | 200 OK, XML|JSON |
| Name | Description | Type | Default |
|---|---|---|---|
| No parameters |
| Name | Description | Type | Default |
|---|---|---|---|
| Accept | The content-type that will be acceptable in response | string | application/xml |
Fetch only books of a specific bible.
| URL | /apirest/bible/{bibleId}/books |
| Method | GET |
| Content-type | application/xml, application/json |
| Results | 200 OK, XML|JSON |
| Name | Description | Type | Default |
|---|---|---|---|
| start | The first element to return (> 0) | integer | 1 |
| pages | The number of pages to return (> 0 <= 2) | integer | 1 |
| Name | Description | Type | Default |
|---|---|---|---|
| Accept | The content-type that will be acceptable in response | string | application/xml |


About
This webpage is Tomi's and Ráhel's forever blog
Ráhel and Tomi travel the world together, helping and making friends wherever they go. On 16 June 2018, we celebrated them and the beginning of their biggest adventure yet: a life-journey together. On this forever-blog, they can share milestones of their journey, their wisdom, or whatever they deem important in their lives at the momment. The blog is powered by blockchain, and thus, every post is immutable, cannot be changed or deleted.


Hi, I'm Ky.
I'm good at marketing, and getting better at product design.
Resume
Contact Me
please hire me so I can feed myself
according to recent polls, Ky is more qualified for your job than America's current president!


Travel Agent Mangement
My Place
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Travel Agent Mangement System
My Place
My Customer
My Agency


Celebrating 25 years of caring for our coast
by Bay of Plenty Regional Council19 November 2019
Volunteers and key supporters of the Coast Care Bay of Plenty programme celebrated 25 years of restoring and protecting our region’s sand dunes on Sunday. The occasion was marked by the unveiling a new commemorative sign by Bay of Plenty Regional councillor Andrew von Dadelszen at the Mount Maunganui main beach, followed by speeches from key Coast Care founders.
Paul Greenshields, Coast Care Regional Co-ordinator reflected on the significance of the day.
“In the past 25 years more than 300,000 volunteer hours have helped to plant 1.5 million sand dune plants across the Bay of Plenty region, making it one of the largest and most successful dune restoration programme in New Zealand,” he said.
The Coast Care Bay of Plenty group was formed in 1994 and early projects included clearing Sydney Golden wattle from the Mount Maunganui beach front and helping Waihī Beach residents restore the dunes after an ocean storm resulted in waves surging 80 metres inland. Since then the programme has grown and now helps look after and plant more than 156 km of coastline across the Bay of Plenty.
Mr Greenshields highlighted that central to Coast Care is a community-based partnership programme which connects local communities, care groups and schools from Waihī all the way around to the East Cape.
“Crucial to the ongoing success of Coast Care is the contribution made by volunteers,” he said. “Whether it’s individuals turning up for planting days, schools and kindergartens including dune restoration in their curriculum or businesses donating staff hours, Coast Care represents the epitome of people getting involved to make a difference.”
Coast Care Bay of Plenty is co-ordinated by Bay of Plenty Regional Council with support from Tauranga City Council, Western Bay of Plenty District Council, Whakatāne District Council, Ōpōtiki District Council and the Department of Conservation.
ENDS


{{ title }}
-
{% comment %}
liquidjs doesn’t do hoisting the same, so we have to hoist these loop variables ourselves.
{% endcomment %}
{% assign year = "" %}
{% assign currentyear = "" %}
{% assign currentyearpostcount = 0 %}
{% assign listItems = collections.posts %}
{% for post in collections.posts %}
{% include post-list-entry.html, hfeed: true %}
{% endfor %}


I'm A Celebrity's Nadine Coyle in tears as she's comforted by Caitlyn Jenner
I’m A Celebrity…Get Me Out Of Here!’s Nadine Coyle is already in tears on the show, and it hasn’t even truly started yet.
The Girls Aloud favourite can be seen tearfully embracing Caitlyn Jenner as they’re forced to skydive into the jungle – before they’ve even found the camp.
In scenes from Sunday’s show, the pair are teamed up together for a very dramatic task as they prepare to start their jungle journey.
Reality TV legend Caitlyn and Girls Aloud pop royalty Nadine take part in their first challenge with fellow campers rugby player James Haskell and Radio 1 DJ Adele Roberts.
Whilst James and Adele have the rather nice task of canoeing down a stream to collect Pontoons, Cailtlyn and Nadine instead are asked to throw themselves out of a plane in order to gather the keys needing to unlock said Pontoons.
Advertisement Advertisement
But it all seems to get a bit too much for the Call The Shots singer, who is seen grabbing an emotional moment with her new friend.
But we’ll have to see how it goes down on Sunday’s launch show.
The pictures come after ITV confirmed that live insects will no longer be used on any eating trials in the programme.
It was claimed that no celebs would be chowing down on any critters that were still crawling during the famous eating trials.
And bosses have now announced the change has been implemented and it will be permanent.
A rep for I’m A Celeb told Metro.co.uk: ‘No live critters will be eaten in the Bush Tucker trials this year. Producers have taken a look at the trials and decided that no live critters would be eaten this year.
‘They have been planning this for some time and actually last year beach worms were the only critters eaten live but this time around they’ve decided to implement the change fully and permanently.’
Now creepy crawlies, well they won’t be crawling, they’ll still be creepy.
Advertisement Advertisement
I’m A Celebrity…Get Me Out Of Here! returns on 17 November, at 9pm, on ITV.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


{% load static %}
I was born in the quiet town of Walnut Creek, California. My parents had moved to the states a couple years ago, and were eager to start a family in the technological bubble called Silicon Valley. My dad was a material Scientist and my mom a registered nurse, and this was the start of my adventure!
Three years after I was born, my dad got relocated (thank you Fujitsu) and we moved to Beaverton, a small suburb of Portland, Oregon. In the state that was 99% forest, I grew to love the outdoors. I started discovering my interests as wide as they were, from soccer and swimming to playing with robots and gaming.
But eventually, we had to move again, this time to Austin, Texas. I moved in 5th grade and I was that new kid in class. Luckily, southern hospitality and tons of other Asian kids in my class gave me the opportunity to make many friends that I still talk to today, until...
I moved again. And this time, it sucked. I moved away from all my friends into the rainy, gloomy Bellevue, WA, near Seattle. But in retrospect, it wasn't that bad, I made new friends, and grew in my interest in chess, knowledge bowl, model United Nations, philosophy and robotics. Yeah, I think I've come to adore Seattle weather.
But nothing beats California sunshine, and that's where I am now, in sunny, liberal, beautiful Berkeley, California. I love being close to the bay and being back in Silicon Valley! And I look forward to my next few years here.
Over the summer of 2014, I worked at UCSF as an intern in the global Health division. I really got a sense of global health disparities in this position and it really drove me to focus my career and research on leveling the playing field for everyone no matter race, gender or location.
Over this past summer (2015), I worked at Bio-Rad working on an internal tool to provide dynamic analysis on Digital Droplet PCR information. I honestly didn't find the project too exciting or novel, but the experience of working in an established company on an active project was well worth the 2 hour commute and sweltering heat.
Over the summer of 2016, I worked at TubeMogul as a Software Engineering Intern. It was amazing seeing the huge codebase of a medium sized company and a cool experience to have my code pushed to production to teach tousands of requests per minute.


KMotionCNC Spindle Control
KMotionCNC allows the User to configure how the Spindle is to be be controlled. Four basic actions that need to be defined are:
M3 - Turns on the Spindle in a CW direction
M4 - Turns on the Spindle in a CCW direction
M5 - Turns off the Spindle
Snnnn - Sets the desired RPM or Constant Surface Speed in feet/min or meters/min
To configure what action is to take place for each of the four functions the Tool Setup must be configured to either do the operations directly, or by invoking a KFLOP User C Program.
For the most basic cases where only one or two control IO bits are required for On/Off/Direction the IO operations can be configured directly. If Speed can be controlled by simple open loop scaling/limiting of a DAC output then speed control can also be configured directly.
For more complex cases and to allow control of virtually any type of Spindle, through any type of interface, KMotionCNC can be configured to invoke User programs to perform the four tasks listed above. Spindles might need to be controlled in a variety of different ways: Open Loop, Closed Loop, DACs, PWMs, Step/Dir, ModBus, Rs232, etc... Although this requires a small program to be written, it provides maximal flexibility and full control to the system designer. Usually with only a few lines of code the desired task may be performed. Common examples are provided.
For G96/G97 - CSS (Constant Surface Speed) an additional program is required to run continuously in KFLOP which changes spindle speed continuously as a function of X position (radius). See the CSSJog.c example.
If a quadrature encoder is installed on the spindle it may be used for Spindle Speed Measurement and Display. See the Threading Configuration described here.
For basic configurations where the spindle CW/CCW/OFF can be controlled with one or two IO bits (normally Kanalog Relay Driver or Opto Outputs) and with speed control from a Kanalog DAC then no C programming is required. An example configuration is shown below. Note the S action is mapped to Kanalog DAC #7 with a negative scale of -2.047. Kanalog DAC outputs are inverting such that negative DAC counts result in a positive voltage. The assumption in this case is that an S value of 1000RPM would correspond to -2047 DAC counts or +10V. And the allowed range is from -2047 to 0 counts (0V to +10V).
An additional advantage to using I/O bits rather than C Programs is that they I/O commands will be embedded within the motion stream and will occur synchronously with the motion and without any pause in the motion. This is especially useful for faster systems with Lasers/Engravers/Extruders instead of a traditional Spindle. For more information on buffered IO commands see here.
For more advanced functionality User C Programs may be assigned for each of the spindle actions. For systems that have a spindle that can be controlled with an axis channel the C Programs listed below can be used directly with little or no modification. This assumes that axis channel has already been configured much like the other axes in the system and can be moved using Axis Jog Commands. Spindles such as this are types that can be driven like a servo with feedback, or as an open loop Step/Dir drive. The only requirement is that a KFLOP axis channel can be used for control. This also allows acceleration (and Jerk) to be controlled by the axis channel for smooth speed changes.
The example configuration below shows the four spindle tasks assigned to four C programs. Each of the programs run temporarily to perform their function and should never execute concurrently so each can use the same Thread. See here for more information on Threads. M3, M4, and M5 do not pass any parameter so the VAR should be assigned to ay unused Variable such as #1. For S the speed value is passed in the VAR parameter. If G96/G97 CSS is to be used then the same VAR should be used as the G96 speed is passed. This VAR number is defined in PC-DSP.h as
#define
PC_COMM_CSS_S 113 // S speed setting in inches/sec
In most cases the four C programs can be used without any
modification. The programs all include a common file called
MySpindleDefs.h that contain settings that are likely to require customization
for any particular system. The file and parameters are defined and
described below. Each of the four C programs includes this file with an
include statement of: #include "MySpindleDefs.h". This should be
placed immediately after the #include "KMotionDef.h" (which includes
and defines all the
standard KFLOP definitions).
MySpindleDefs.h
#define
SPINDLEAXIS 6 // Axis Channel to Jog to rotate Spindle#define
FACTOR (1000/60.0) // to convert RPM to counts/sec (counts/rev / 60.0sec)#define
SPINDLECW_BIT 154 // bit to activate to cause CW rotation#define
SPINDLECCW_BIT 155 // bit to activate to cause CCW rotation#define
SPEEDVAR 99 // global persistant variable to store latest speed#define
STATEVAR 98 // global persistant variable to store latest state (-1=CCW,0=off,1=CW)#define
KMVAR PC_COMM_CSS_S // variable KMotionCNC will pass speed parameter (113)
These C Programs (located in the <Install Directory>\C Programs\SpindleUsingJogs\CSS directory) are written in a manner to handle a common issue with Spindles which is that a Speed change while the Spindle is commanded off should not be immediately applied. The four programs use two global variables to maintain the latest state and speed. This allows a speed change (when off) to be delayed until the spindle is turned on, but also be applied immediately if already on. In the example above VARs 99 and 98 are used for this purpose.
Constant Surface Speed allows a lathe cutting tool to maintain a constant linear rate regardless of the current radius (or diameter) as the spindle RPM is continuously adjusted as a function of the radius.
Here is a simple GCode Program that uses G96 CSS mode
G90 G21
(Absolute mm)
G00 X50.8 Y0 Z50.8 (Rapid to starting position)
G96 M3 D2500 S159.6 (CSS should be 1000RPM at R=25.4mm)
G1 X2.54 Z25.4 F350 (Change X - radius)
G1 X50.8 Z0
G1 X2.54 F5000 (Change X - radius faster)
G1 X50.8 Z0
G1 X2.54
(Change X - radius faster)
G1 X50.8 Z0
M05
(Spindle off)
G0 Z50.8
G97 M3 S500 (Run at normal RPM
Mode)
G4 P3
M2
G96/G97 CSS requires some additional C Program functionality to be running within KFLOP. When KMotionCNC decodes a G96 command to enter CSS mode it does so by setting a number of VAR parameters within KFLOP. A program continuously running within KFLOP will detect the CSS mode and set the Spindle RPM as a function of the X axis position (radius) and requested surface speed. The five variables set by KMotionCNC to control CSS are listed in the shared header file PC-DSP.h as and define which persist variables the data will be placed:
// Persist Variable used with CSS Constant Surface speed for Spindle
// These parameters will be set when GCode switches to G97 CSS mode
// A User program in KFLOP must be running to monitor the mode an x position
// and alter the spindle RPM appropriately.
#define
PC_COMM_CSS_MODE 110 // Mode 1=Normal RPM mode. 2=CSS#define
PC_COMM_CSS_X_OFFSET 111 // X axis counts for Radius zero#define
PC_COMM_CSS_X_FACTOR 112 // X axis factor to convert counts to inches#define
PC_COMM_CSS_S 113 // S speed setting in inches/sec#define
PC_COMM_CSS_MAX_RPM 114 // Limit max RPM to this value as Radius approaches zero
MODE: defines whether CSS is active or not. G96 sets all CSS parameters and then switches the mode to 2. G97 (normal fixed RPM Mode) sets the Mode to 1. On Power up the Mode will be 0. X_OFFSET allows KFLOP to relate a position in counts to a radius from the spindle axis. It consists of all GCode Offsets converted to X axis counts. X_FACTOR is the inverse of the X axis resolution which allows KFLOP to do a simple multiplication to convert X axis counts to inches. S: is the desired surface speed in inches/sec (converted from GCode units of feet/min or meters/min). MAX_RPM: specifies the maximum allowed RPM. As the radius approaches zero the required RPM to maintain a specified surface speed will approach infinity. Any computed RPM beyond this value will be limited to this value. The max RPM may be specified on the line of GCode with the D word. If no D word is specified on the same line as the G96 then the limit will be sent as 1e9 RPM.
In most cases the supplied function ServiceCSS() shown below can be used. See C Program comments below on how to include this file into your Initialization C file and add a call to it in a continuous loop. If you already have a continuous loop in your Initialization C File then add a call ServiceCSS() within it. If there is not already an loop add one as shown in the comments below.
// Handle CSS (Constant Surface Speed) messages from KMotionCNC)
//
// This code assumes you have an Axis Channel Configured to control
// Spindle speed and Jog Calls can be made to control speed
//
// Include this function into your main Init Thead code and call it
// continuously from a forever loop similar to that shown here
//#include "KMotionDef.c"
//#include "MySpindleDefs.h"
//#include "CSSJog.c"
//main()
//{
// for (;;)
// {
// WaitNextTimeSlice();
// ServiceCSS();
// }
//}
int *css_mode = &persist.UserData[PC_COMM_CSS_MODE]; // Mode 1=Normal RPM mode. 2=CSS
float *css_xoff = &persist.UserData[PC_COMM_CSS_X_OFFSET]; // X axis counts for Radius zero
float *css_xfactor = &persist.UserData[PC_COMM_CSS_X_FACTOR]; // X axis factor to convert counts to inches
float *css_s = &persist.UserData[PC_COMM_CSS_S]; // S speed setting in inches/sec
float *css_max_rpm = &persist.UserData[PC_COMM_CSS_MAX_RPM]; // Limit max RPM to this value as Radius approaches zero
double css_T=0; // update only every so often
#define CSS_UPDATE_DT 0.05
void ServiceCSS(void)
{
float rpm;
double T=Time_sec();
if (*css_mode == 2 && T > css_T) // check if we are in CSS mode and it is time to update
{
css_T=T+CSS_UPDATE_DT; // determine next time to update
// convert axis position to distance from center in inches
float radius = fast_fabs((chan[CS0_axis_x].Dest - *css_xoff) * *css_xfactor);
if (radius > 0.0f)
rpm = *css_s / (radius * (TWO_PI_F/60.0f));
else
rpm = *css_max_rpm;
if (rpm > *css_max_rpm) rpm = *css_max_rpm;
if (persist.UserData[STATEVAR]!=0) // if spindle is already on, ramp to new speed
Jog(SPINDLEAXIS,rpm * FACTOR);
// printf("xoff=%f radius= %f xfactor=%f s=%f(ips) maxrpm=%f rpm=%f\n",*css_xoff,radius,*css_xfactor,*css_s,*css_max_rpm,rpm);
}
}
This sequence is applicable for Spindles that can be driven with a KFLOP Axis Channel:
#1 - Electrically Interface your spindle
#2 - Using KMotion.exe configure your Spindle Axis Channel and test that KMotion Console Screen Jog commands can successfully control it.
#3 - Modify MySpindleDefs.h with settings that apply for your system
#4 - Configure KMotionCNC | Tool Setup | M3 - M9 | M3, M4, M5, and S
#5 - If Spindle encoder feedback is available configure KMotionCNC | Tool Setup | Trajectory Planner | Threading
#6 - if CSS is desired include and add ServiceCSS() to a continuous loop in your Initialization C File
Simple Video of final GCode running CSS GCode.


Often as a group we have a greater capacity for understanding than when we act as individuals, especially when confronted with issues of great complexity. This is why I think riotwiki, collecting information about the 2011 UK riots, is a very good idea. If you can, please participate in creating a full account of what happened.
Part of my final undergraduate project was an experiment where I used a Twitter bot to reach a large audience in a short time. I wanted to see if people can be stimulated to action (and if so, how). The source is on Github, so you can have a proper look through it. AeroFade’s bot which won the Socialbots competition was a huge inspiration.
@boredlondon bot compiles a list of stuff to do in London from various rss feeds, with some free activities thrown into the mix. It then searches for people who say they are bored and (if their geolocation data points to London) it then introduces itself. If they reply (or mention the bot at all), it will give them a suggestion for a random activity.
Surprisingly, most of the interactions are very well natured and polite.
Though most of the bot’s suggestions weren’t what the participants could have hoped for.
It comes complete with rudimentary logging system:
log.puts "---------------"
log.puts Time.now.to_s
log.puts "Tweeted: #{@message}"
One of the improvements I should have thought about when I began the experiment was to create a robust system for logging the whole history of bot’s interactions, including the messages other people send to it. Because of the way the bot was written, its replies to mentions are not strictly replies (they are not linked as a part of conversation), the bot remembers the names of people who talk to it and sends them a random suggestion (code fragment edited for clarity):
mentions.each do |m|
users = m.user.screen_name
users_that_replied << users
end
users_that_replied.each do |user|
random_tweet_including_free_stuff #returns @message
begin
Twitter.update("@#{user} #{@message}")
follow_them = user.screen_name
Twitter.client.follow(follow_them)
end
end
This makes it very hard to archive the conversations, and sadly I haven’t been doing it. I wish I had done it some other way. I would have been nice to keep track of how many replies are positive, negative, and rude; as well as noting down how many participants say they are likely to take up the suggestion. Any analysis and insights from the experiment seem anecdotal without the hard data to back it up.
Feasting my eyes and ears on these. Zimoun specialises in creating sound installations generated by mechanical movements. Many of his works use rotating motors to bump small objects against each other. Result is strangely organic and captivating.
There are many more fantastic videos of his work on Vimeo. Well worth a look.
Constellation – a light installation by WhiteVoid.
Michael Zoellner made a jacket for his dog, Ianto, which sports a LilyPad Arduino board and 5 LEDs. When Ianto runs, she creates a very cool looking light display. Nice!


- VIEW:
- TRACK MY LOCATION
- MY LOCATION
SCHEDULE DELIVERIES
| FOOD | FROM | DESTNATION | DELIVERY PRICE | DELIVERY TIME | DISTANCE | view | |
|---|---|---|---|---|---|---|---|
| = $schedule_data['food_name']?> | = $schedule_data['r_pos_name']?> | = $schedule_data['c_pos_name']?> | kSh = $schedule_data['delivery_price']?> | = $schedule_data['delivery_date']?> = $schedule_data['deliver_time']?> | = $schedule_data['delivery_distance']?> KMs |
No Schedule Deliveries
CURRENT DELIVERIES
| FOOD | FROM | DESTNATION | DELIVERY PRICE | DELIVERY TIME | DISTANCE | view | |
|---|---|---|---|---|---|---|---|
| = $current_data['food_name']?> | = $current_data['r_pos_name']?> | = $current_data['c_pos_name']?> | kSH = $current_data['delivery_price']?> | = $current_data['delivery_date']?> = $current_data['deliver_time']?> | = $current_data['delivery_distance']?> KMs |
No Current Deliveries


{% set suppress_feedback = true %} {% extends '_layouts/layout.html' %} {% block page_title %}{% endblock %} {% block body_css_classes %}nhsuk-frontend{% endblock %} {% block content %}
As you:
It’s unlikely you have a coronavirus (COVID-19) infection as these are the most common symptoms.
Use the non-COVID part of 111 online to find out what to do about your other symptoms.


Youtube
You can add Youtube Video easily:
- Open desired video on Youtube
- Click the Share button under the video
- In the appeared window click Embed
- After making your selection, copy and paste the embed code to your website.
Vimeo
You can add Vimeo Video easily:
- Open desired video on Vimeo
- Click Embed in the top right corner of the video
- In the appeared window you can see the embed code. You can copy it or customize according to your needs. Click "Customize embed options" to see video embed options.
- After making your selection, copy and paste the embed code to your website.
Social Icons
Social Icons
To add social icons to your website you can use the icon sets that are included into the purchased template package. Icon sets are located in the "images" directory.
Twitter Button
You can learn more about adding Twitter Button to your website here
Google Plus Button
You can learn more about adding Google Plus Button to your website here
Like Button
You can learn more about adding Like Button to your website here


Tests that somewhat complex structures of plugin invocations correctly call normalize() in call cases
Check console for messages


2. Meaningful Names
Use Intention-Revealing Names
"Choosing good names takes time but saves more than it takes."
"The name of a variable, function, or class, should answer all the big questions.
It should tell you why it exists, what it does, and how it is used.
If a name requires a comment, then the name does not reveal its intent."
Avoid Disinformation
"Programmers must avoid leaving false clues that obscure the meaning of code."
"Even if you are encoding a hypotenuse and hp looks like a good abbreviation, it could be disinformative."
"Beware of using names which vary in small ways."
Make Meaningful Distinctions
"If name must be different, then they should also mean something different."
"Number-series naming (a1, a2, .. aN) [...] are not disinformative - they are noninformtive;
they provide no clue to the author's intention."
"Noise words are another meaningless distinction." (e.g. ProductInfo and ProductData are noise words)
Use Pronounceable Names
"It would be a shame not to take advantage of that huge portion of our brains that has evolved to deal with spoken language."
"If you can't pronounce it, you can't discuss it without sounding like an idiot."
Use Searchable Names
"Single-letter names and numeric constants have a particular problem in that they are not easy to locate across a body of text.
One might easily grep for MAX_CLASSES_PER_STUDENT, but the number 7 could be more troublesome."
"My personal preference is that single-letter names can ONLY be used as local variables inside short methods.
The length of a name should correspond to the size of its scope."
Avoid Encodings
"Encoding type or scope information into names simply adds an extra burden of deciphering."
"It is an unnecessary mental burden when trying to solve a problem."
Member Prefixes
"You also don't need to prefix member variables with m_ anymore.
Your classes and functions should be small enough that you don't need them.
And you should be using an editing environment that highlights or colorizes members to make them distinct."
"The more we read the code, the less we see the prefixes. Eventually the prefixes become unseen clutter and a marker of older code."
Interfaces and Implementations
"The preceding I, so common in today's legacy wads, is a distraction.
Calling it ShapeFactoryImp, or even the hideous CShapeFactory, is preferable to encoding the interface."
Avoid Mental Mapping
"Readers shouldn't have to mentally translate your names into other names they already know."
"Certainly a loop counter may be named i or j or k (though never l) if its scope is very small and no other names can conflict
with it. This is because those single-letter names for loop counters are traditional."
"[...] the professional understands that clarity is king."
Class Names
"Classes and objects should have noun or noun phrase names [...]"
"A class name should not be a verb."
Method Names
"Methods should have verb or verb phrase names [...]"
"Accessors, mutators and predicates should be named for their value and prefixed with get, set, and is [...]"
"When constructors are overloaded, use static factory methods with names that describe the arguments."
Don't Be Cute
"Choose clarity over entertainment value."
"Say what you mean. Mean what you say."
Pick One Word per Concept
"Pick one word for one abstract concept and stick with it."
"[...] it's confusing to have a controller and a manager and a driver in the same code base."
"A consistent lexicon is a great boon to the programmers who must use your code."
Don't Pun
"Avoid using the same word for two purposes."
"We want our code to be a quick skim, not an intense study."
Use Solution Domain Names
"Remember that the people who read your code will be programmers. So go ahead and use computer science terms, algorithm names,
pattern names, math terms, and so forth."
"There are lots of very technical things that programmers have to do.
Choosing technical names for those things is usually the most appropriate course."
Use Problem Domain Names
"When there is no "programmer-eese" for what you're doing, use the name from the problem domain."
Add Meaningful Context
"There are a few names which are meaningful in and of themselves - most are not.
Instead, you need to place names in context for your reader by enclosing them in well-named classes, functions, or namespaces."
Don't Add Gratuitous Context
"Shorter names are generally better than longer ones, so long as they are clear. Add no more context to a name than is necessary."


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Makes 6 skewers
Dietary
Paneer is the main vegetarian protein eaten in India and it is a perfect foil for Indian flavours.
For the marinade, mix together all the marinade ingredients in a bowl and add the paneer, onion and peppers. Cover with cling film and allow the paneer and vegetables to marinate for 30-40 minutes, or longer, in the fridge.
Preheat the oven to 200C/400F/Gas 6 and oil a baking sheet.
Thread the vegetables and paneer alternately onto the skewers. Bake in the oven for seven minutes, drizzle over the melted butter, turn and cook for another 5-7 minutes or until charred at the edges.
Sprinkle with chaat masala and serve. They are also great served with a green chutney.


${From most recent to oldest, this list shows all outages, degradations and planned maintenance for this service}
${No past issues have been recorded for this service}
{{::e.type}} - {{data.serviceName}}
${Started} {{e.beginDisplay}}, ${Duration} {{e.duration}}


--- layout: page title: Confirm Dialog ---
Activate button to open the confirm dialog.
Please read the documentation to understand how these examples were created.
This is the confirmation description.
Updated: April 24th, 2020


Thirty-seven modules in Version 6.0 are accessible as Python binary extension ("pip install MontagePy") and can be used from within Jupyter notebooks. The notebooks available here show the use of each Montage function, and there are in addition two that illustrate end-to-end processing to create mosaics.
This document set (notebooks and HTML pages) is a available through GitHub at
https://github.com/Caltech-IPAC/MontageNotebooks
If you just want to view the notebook pages without downloading, go to
http://montage.ipac.caltech.edu/MontageNotebooks
The data needed to actually run the notebooks comes in two files:
http://montage.ipac.caltech.edu/data/montage_datacubes.tar.gz
http://montage.ipac.caltech.edu/data/montage_data.tar.gz
The first is 3 GByte uncompressed and contains the data for the datacube examples (because of the third dimension, datacubes tend to be large files). If you are not interested in datacubes you can save time and space by not downloading this file. The second is 1 GByte uncompressed and has the data for all the other notebooks.
Both of these tarballs should be taken apart in the same directories as the downloaded notebook .ipynb files.
| Visualization | |
|---|---|
| mViewer | General FITS image viewer (single or multi-band, with overlays). |
| mHistogram | Generate a histogram for an image, suitable for use in the Viewer. |
| End-to-End Processing Tutorials | |
| Mosaic | Overview example of the end-to-end process of making a mosaic of archive data. |
| Mosaic_oneshot | The above example without the explanatory text. |
| Creating and Managing Header Files | |
|---|---|
| mHdr | Create a template FITS header (TAN projection) from just a location and size. |
| mGetHdr | Pull the header from a FITS file (in a form suitable for any text editor. |
| mPutHdr | Replace the header for a FITS file using an template text header file. |
| mMakeHdr | Make a template FITS header as a bounding box around a table of sky locations (or image metadata). |
| Reprojecting, Co-registering, and Coadding Two-Dimensional Images | |
| mProject | Reproject a single image to another projection/coordinate system (any projection, flux conserving). |
| mProjectPP | Reproject a single image to another projection/coordinate system (tangent plane projections only, flux conserving). |
| mProjectQL | Reproject a single image to another projection/coordinate system (any projection, not strictly flux conserving). |
| mTANHdr | Create a TAN projection with focal-plane distortions (for better reprojection performance) for small-area images with odd projections. |
| mProjExec | Reproject a set of images to a common projection/coordinate system. |
| mAdd | Coadd a set of images with the same projection together into a mosaic. |
| Background Fitting and Rectification | |
| mOverlaps | Determine the set of overlaps for a set of images. |
| mDiff | Generate the difference between two images. |
| mFitplane | Fit a plane to a single image (ignoring larger flux excursions). |
| mDiffExec | Generate difference images a list of image pairs. |
| mFitExec | Fit planes to a set of images (usually difference images). |
| mDiffFitExec | Determine plane fits to a list of image pairs (take each image, then fit it and clean as you go). |
| mBgModel | Model a set of image overlap differences to determine the best background to remove from the original image to make backgrounds match. |
| mBackground | Subtract a plane from a single image. |
| mBgExec | Subtract planes from a set of images, usually to get the backgrounds to match. |
| Image Utilities | |
| mBestImage | Find the "best" image from a set for a specific location. |
| mExamine | Gather statistics for an image file (or a region within an image file). |
| mFixNaN | Fix some of the more obvious problems with blank pixels in an image file. |
| mMakeImg | Create an artificial FITS image based on source catalog data and/or simple backgrounds. |
| mShrink | Shrink (or expand) an image by an arbitrary factor. |
| mSubimage | Cut a rectangular area out of an image file. |
| Finding and Retrieving Images | |
| mArchiveList | Query remote archives for list of downloadable images. |
| mCoverageCheck | Reduce list of images to just those overlapping a region. |
| mArchiveGet | Retrieve a single archive image. |
| mArchiveExec | Retrieve a list of remote archive images (using mArchiveGet). |
| mImgtbl | Generate a metadata table (with an emphasis on sky coverage) for a set of images (usually a single subdirectory but can run recursively). |
| Creating and Managing Mosaics of Data Cubes | |
| mProjectCube | Reproject a datacube. Spatial (sky) coordinates should be the first two axes. |
| mAddCube | Coadd a set of datacubes into a single cube. |
| mShrinkCube | Shrink a datacube (any factor spatially; integer factors in the other dimension(s). |
| mSubCube | Cut a subcube out of a datacube. |
| mTranspose | Transpose the axes of a datacube, usually to get the spatial dimensions into the right order for reprojection. |


Interface Job
Job
Namespace: Native5\Scheduler
Package: Native5\Scheduler
Category: Scheduling
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
Located at Native5/Services/Scheduler/Job.php
Package: Native5\Scheduler
Category: Scheduling
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
Located at Native5/Services/Scheduler/Job.php
Methods summary
public
|
|
public
|
|
public
|
|
public
|
|
public
|
|
public
|


Our Team
Joshua Fischer
Chief Executive Officer
Laura Silverman
Chief Financial Officer
Daniel Glaser
Chief Technical Officer
Sheetal Goyal
Chief Marketing Officer
Scott Ryan
Chief Product Officer
Raina Simeone
Vice President of People, Strategy, and Services


{% extends 'home/base.html' %} {% load static %} {% block header %} {% endblock header %} {% block content %}
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Get In Contact With Us Through Email!
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Enter Message Here


title: Device Motion
| Android 4.4 | Android 5.1 | Android 6.0 | iOS 9.3 | iOS 10.0 | Windows 10 Store | Travis CI |
|---|---|---|---|---|---|---|
This plugin provides access to the device's accelerometer. The accelerometer is a motion sensor that detects the change (delta) in movement relative to the current device orientation, in three dimensions along the x, y, and z axis.
Access is via a global navigator.accelerometer
object.
Although the object is attached to the global scoped navigator
, it is not available until after the deviceready
event.
document.addEventListener("deviceready", onDeviceReady, false);
function onDeviceReady() {
console.log(navigator.accelerometer);
}
Report issues with this plugin on the Apache Cordova issue tracker
cordova plugin add cordova-plugin-device-motion
Get the current acceleration along the x, y, and z axes.
These acceleration values are returned to the accelerometerSuccess
callback function.
navigator.accelerometer.getCurrentAcceleration(accelerometerSuccess, accelerometerError);
function onSuccess(acceleration) {
alert('Acceleration X: ' + acceleration.x + '\n' +
'Acceleration Y: ' + acceleration.y + '\n' +
'Acceleration Z: ' + acceleration.z + '\n' +
'Timestamp: ' + acceleration.timestamp + '\n');
}
function onError() {
alert('onError!');
}
navigator.accelerometer.getCurrentAcceleration(onSuccess, onError);
Values for X, Y, Z motion are all randomly generated in order to simulate the accelerometer.
The accelerometer is called with the SENSOR_DELAY_UI
flag, which limits the maximum readout frequency to something between 20 and 60 Hz, depending on the device. Values for period corresponding to higher frequencies will result in duplicate samples. More details can be found in the Android API Guide.
iOS doesn't recognize the concept of getting the current acceleration at any given point.
You must watch the acceleration and capture the data at given time intervals.
Thus, the getCurrentAcceleration
function yields the last value reported from a watchAccelerometer
call.
Retrieves the device's current Acceleration
at a regular interval, executing
the accelerometerSuccess
callback function each time. Specify the interval in
milliseconds via the acceleratorOptions
object's frequency
parameter.
The returned watch ID references the accelerometer's watch interval,
and can be used with navigator.accelerometer.clearWatch
to stop watching the
accelerometer.
var watchID = navigator.accelerometer.watchAcceleration(accelerometerSuccess,
accelerometerError,
accelerometerOptions);
function onSuccess(acceleration) {
alert('Acceleration X: ' + acceleration.x + '\n' +
'Acceleration Y: ' + acceleration.y + '\n' +
'Acceleration Z: ' + acceleration.z + '\n' +
'Timestamp: ' + acceleration.timestamp + '\n');
}
function onError() {
alert('onError!');
}
var options = { frequency: 3000 }; // Update every 3 seconds
var watchID = navigator.accelerometer.watchAcceleration(onSuccess, onError, options);
The API calls the success callback function at the interval requested, but restricts the range of requests to the device between 40ms and 1000ms. For example, if you request an interval of 3 seconds, (3000ms), the API requests data from the device every 1 second, but only executes the success callback every 3 seconds.
Stop watching the Acceleration
referenced by the watchID
parameter.
navigator.accelerometer.clearWatch(watchID);
navigator.accelerometer.watchAcceleration
.var watchID = navigator.accelerometer.watchAcceleration(onSuccess, onError, options);
// ... later on ...
navigator.accelerometer.clearWatch(watchID);
Contains Accelerometer
data captured at a specific point in time.
Acceleration values include the effect of gravity (9.81 m/s^2), so that when a
device lies flat and facing up, x, y, and z values returned should be
0
, 0
, and 9.81
.


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Will (@wbinnssmith) at Atlassian explains why they use npm for front-end packaging
More and more people are using npm to do frontend stuff, and npm is very excited about this.
More and more people are using npm to do frontend stuff, and npm is very excited about this.


City
(Date)
Temperature:
Humidity:
Wind Speed:
UV Index:
5-Day Forecast:
Date
Temp:
Humidity:
Date
Temp:
Humidity:
Date
Temp:
Humidity:
Date
Temp:
Humidity:
Date
Temp:
Humidity:
Temperature:
Humidity:
Wind Speed:
UV Index:
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:
Temp:
Humidity:


Automatic Redirects¶
Read the Docs supports redirecting certain URLs automatically. This is an overview of the set of redirects that are fully supported and will work into the future.
Root URL¶
A link to the root of your documentation will redirect to the default version, as set in your project settings. For example:
pip.readthedocs.io -> pip.readthedocs.io/en/latest/
www.pip-installer.org -> www.pip-installer.org/en/latest
This only works for the root url, not for internal pages. It’s designed to redirect people from http://pip.readthedocs.io/ to the default version of your documentation, since serving up a 404 here would be a pretty terrible user experience. (If your “develop” branch was designated as your default version, then it would redirect to http://pip.readthedocs.io/en/develop.) But, it’s not a universal redirecting solution. So, for example, a link to an internal page like http://pip.readthedocs.io/usage.html doesn’t redirect to http://pip.readthedocs.io/en/latest/usage.html.
The reasoning behind this is that RTD organizes the URLs for docs so that multiple translations and multiple versions of your docs can be organized logically and consistently for all projects that RTD hosts. For the way that RTD views docs, http://pip.readthedocs.io/en/latest/ is the root directory for your default documentation in English, not http://pip.readthedocs.io/. Just like http://pip.readthedocs.io/en/develop/ is the root for your development documentation in English.
Among all the multiple versions of docs, you can choose which is the “default” version for RTD to display, which usually corresponds to the git branch of the most recent official release from your project.
rtfd.org¶
Links to rtfd.org are treated the same way as above. They redirect the root URL to the default version of the project. They are intended to be easy and short for people to type.
Supported Top-Level Redirects¶
Note
These “implicit” redirects are supported for legacy reasons. We will not be adding support for any more magic redirects. If you want additional redirects, they should live at a prefix like Redirecting to a Page
The main challenge of URL routing in Read the Docs is handling redirects correctly. Both in the interest of redirecting older URLs that are now obsolete, and in the interest of handling “logical-looking” URLs (leaving out the lang_slug or version_slug shouldn’t result in a 404), the following redirects are supported:
/ -> /en/latest/
/en/ -> /en/latest/
/latest/ -> /en/latest/
The language redirect will work for any of the defined LANGUAGE_CODES
we support.
The version redirect will work for supported versions.
Redirecting to a Page¶
You can link to a specific page and have it redirect to your default version.
This is done with the /page/
URL.
For example:
pip.readthedocs.io/page/quickstart.html -> pip.readthedocs.io/en/latest/quickstart.html
www.pip-installer.org/page/quickstart.html -> www.pip-installer.org/en/latest/quickstart.html
This allows you to create links that are always up to date.
Another way to handle this is the latest version.
You can set your latest
version to a specific version and just always link to latest.


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import { NotificationsModule } from '@sbb-esta/angular-public';
NotificationComponent
Selector: sbb-notification
| Name | Description |
|---|---|
|
@Input()
|
The icon to be used into the notification left side. By default uses three icons for SUCCESS, ERROR or INFO notification type, but the user can use his own icon using the NotificationIconDirective. |
|
@Input()
|
List of in page links displayed on the bottom of the notification |
|
@Input()
|
Message displayed into the notification content |
|
@Input()
|
Type of notification. |
| scrollTo | |
|---|---|
|
Used to scroll to an element identified by a jump mark |
|
| Parameters | |
|
$event any
|
click event |
|
jumpMark JumpMark
|
jump mark after the notification message |
NotificationIconDirective
Selector: [sbbNotificationIcon]
JumpMark
| Name | Description |
|---|---|
|
|
Identifier of an element in jump marks. |
|
|
Title of an element in jump marks. |


About the Project
A healthy population has long been recognized as an
important preerquisite to national growth and development,
as well as personal well-being. A solid health care system
is a valuable national asset. For that reason, universal health
coverage has been declared an important worldwide development goal.
How can we communicate the impact of the health care system
on important outcomes? Can the vast amount of health-care related
data be mined to generate effective tools for advocacy?/
We think so, and we built this tool to provide new ways of
visualizing the data that we haven't seen elsewhere.
Our visualizations focus on comparisons over time --
there are lots of comparisons between countries already
available, but visualizations of time-based data, especially involving multiple
variables, are more difficult to come by.
Time series data, especially among multiple variables, are
valuable because they relate directly to future outcomes. Countries
will always be distinctive, so simply knowing that one country's
outcomes are better may not persuasively indicate that improvements in
a different country are likely. On the other hand, if, over time,
improvements in certain health system indicators are strongly correlated with
better outcomes, and particularly, if those correlations are observed commonly
all around the world in many countries, then a more persuasive case for
change can be made!
Our correlations tool is therefore designed to give advocates a new
way to visually demonstrate the impact of a strong health care system.
This tool offers tow important visualizations, one that show how "universal"
correlations among dozens of varaibles are, and a second that allows you
to see the change in these indicators in any specific country over time.
Explore this tool now!
We built a third, interactive visualization that lets you take a more
global, long-term view. We took a standard chloropleth map and put it onto
interactive, spinnable, zoomable globe so that you can truly explore the
world of data. We also did something a bit unusual with our chloropleth.
Instead of scaling that data within a single year, we built colors that indicate
values references to all the years in a dataset. By changing the year, you can
literally see the world "light up" as things get better over time.
Light up the world for yourself!
About the Data
Much of our data comes from
the World Bank, which has collected a number of useful variables, including:
- Health Outcomes
- Crude birth rate -- the number of live births per 1,000 midyear population
- Crude death rate -- the number of deaths per 1,000 midyear population
- Infant Mortality rate, infant (per 1,000 live births). Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
- Life expectancy at birth, total (years) -- Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.
- Net migration - Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.
- >Fertility rate, total (births per woman) - Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.
- Health System Indicators
- Current health expenditure (% of GDP) -- Estimates of current health expenditures include healthcare goods and services consumed during each year.
This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.
- Current health expenditure per capita, PPP (current international $) expressed in international dollars at purchasing power parity (PPP).
Purchasing power parity, a component of some economic theories and is a technique used to determine the relative value of different currencies.
Aggregation Method: Weighted average
- Out-of-pocket expenditure per capita (current US$)
Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.
- Children out of school, primary, female -- Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.
- Access to electricity (% of population) -- Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.
- Births attended by skilled health staff (% of total) - Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and to care for newborns.
- Hospital beds (per 1,000 people) - Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.
- Fixed broadband subscriptions (per 100 people) - Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s.
- This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment.
- It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.
Broadband subscriptions are a good proxy for the state of communications systems, which are critical to disseminating health inforamtion.
- Literacy rate, adult female (% of females ages 15 and above) -- Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.
- Literacy rate, youth female (% of females ages 15-24) -- Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.
In addition to these indicators, we also collected indicators of the state of society in general. These include:
- Corruption data from transparency.org
Since its inception in 1995, the Corruption Perceptions Index, Transparency International’s flagship research product, has become the leading global indicator of public sector corruption. The index offers an annual snapshot of the relative degree of corruption by ranking countries and territories from all over the globe. In 2012, Transparency International revised the methodology used to construct the index to allow for comparison of scores from one year to the next. The 2018 CPI draws on 13 surveys and expert assessments to measure public sector corruption in 180 countries and territories, giving each a score from zero (highly corrupt) to 100 (very clean).
To simplify comparisons, years prior to 2012 were multiplied by a factor of ten, which is a technique previously disclosed for generating more comparable data.
- Economic freedom data from the World Bank.
Last updated 06-22-2019 by UCBX Health Data Team
MIT Open Source License,??
on
Github for details.


kzft: Kolmogorov-Zurbenko Fourier Transform and Applications
A colletion of functions to implement Kolmogorov-Zurbenko
Fourier transform based periodograms and smoothing methods
| Version: |
0.17 |
| Depends: |
polynom |
| Suggests: |
graphics |
| Published: |
2012-10-29 |
| Author: |
Wei Yang and Igor Zurbenko |
| Maintainer: |
Wei Yang <peterwyang at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
kzft results |
Downloads:
Reverse dependencies:
Linking:
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to link to this page.


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Kelsey Boeing
10/18/2018
Dylan Erdmann’s choice to attend Ohio University was heavily influenced by his intent to become OU’s mascot, Rufus the Bobcat.
“I was my high school’s mascot for two years and absolutely loved it,” Erdmann, a sophomore studying sociology-criminology, said. “I knew that I had to do it in college.”
During Erdmann’s freshman year, he was given a chance to try out the Rufus suit at an OU soccer game. He performed well and was hired as one of the two students who would get to be Rufus the Bobcat.
“We haven’t had a really good full-time Rufus for a while, so there wasn’t anything for me to base off how he should act. I pretty much transformed my high school mascot’s personality into what Rufus is now, which is kind of like the traditional high school quarterback who walks around super tough and doesn’t take crap from anyone.”Dylan Erdmann
“I don’t have to try out again every year either,” Erdmann said. “As long as I don’t do anything to get fired, I have the job.”
A bobcat has been OU’s mascot since 1925, but the current image of Rufus the Bobcat came to be in 2006, according to a previous Post report. Rufus not only cheers for OU’s football team, but also makes his way to many other Ohio sports, including men’s and women’s basketball, women’s field hockey, women’s soccer, wrestling, softball and baseball.
Even as a freshman, Erdmann was not intimidated to be playing such a large roll for the university. With his previous mascoting experience, Erdmann was able to channel his high school mascot’s persona into how he portrays Rufus on a bigger platform.
“We haven’t had a really good full-time Rufus for a while, so there wasn’t anything for me to base off how he should act,” Erdmann said. “I pretty much transformed my high school mascot’s personality into what Rufus is now, which is kind of like the traditional high school quarterback who walks around super tough and doesn’t take crap from anyone.”
Football games are the primary performances for Erdmann as Rufus. A lot of individual work goes into preparing for games, so Erdmann makes it a point to practice with the cheerleading team in order to perform to the best of his ability.
“Last year, I would practice with the cheer team about once a week just to get to know them,” Erdmann said. “It’s so crazy when I get into the suit because there’s this complete contrast from who I am in the suit to who I am out of it.”
In the short time Erdmann has been Rufus, he’s made many connections with other schools’ mascots, something he would’ve never thought was possible before becoming Rufus.
“A lot of the mascots try to get to know each other, especially for the schools they play,” Erdmann said. “We have a secret GroupMe where we pass different ideas around. That’s also how I get in contact with people prior to games and see if away team mascots want to perform any skits with Rufus. It’s almost like we’re planning interactions.”
Getting the opportunity to be Rufus the Bobcat has been a worthwhile experience for Erdmann that he’s excited to continue throughout college.
Mijana Mazur | FOR THE POST
Rufus interacts with the crowd during the 2017 Homecoming football game against Central Michigan University.
“Not very many people get to say that they were their college’s mascot,” Erdmann said. “I’ve learned so much about different cultures and regions of the U.S. since becoming Rufus. The experience is amazing, and there is so much awesome stuff I wouldn’t have gotten to do had I not gotten this job.”
Cody Buchanan, a senior studying coaching education, was also his high school mascot and knows what a blast it is to be in Erdmann’s position.
“I loved suiting up and dancing around,” Buchanan said. “Being a mascot brought so much joy to people, and that was one of the most amazing things about it.”
Zach Logsdon, a senior studying meteorology, is the other student who gets the opportunity to be Rufus.
“I just thought it’d be a fun and great way to represent the school,” Logsdon said. “I get to be OU’s biggest fan while also getting the opportunity to try something new.”
This is Logsdon’s second year dressing up as Rufus, and even though Erdmann has more experience with mascoting in general, Logsdon was able to catch on quickly.
“I think I’ve gotten pretty good at it,” Logsdon said. “Our boss can’t tell the difference between who’s in the suit and who’s not some games because of how well (Erdmann) and I have coordinated it.”
Like Erdmann, Logsdon puts in a lot of work before any sporting event Rufus has to make an appearance at.
“I usually try and get there an hour before the game because there’s a script I have to go by,” Logsdon said. “I have to know what’s going on and where to be in the stadium or arena and when.”
With how many outside sporting events Logsdon attends as Rufus, one can imagine how hot it is inside the suit, but Logsdon doesn’t mind at all.
“It’s such an adrenaline rush getting to pump everyone up and being the game’s biggest fan that I just find a way to get through it,” Logsdon said. “Sometimes when I’m taking pictures with people, I still catch myself smiling inside the suit. It’s a hard habit to break.”
Being OU’s mascot has been an amazing time that Logsdon will miss after he graduates.
“I’ll definitely miss being the college’s biggest fan,” Logsdon said. “I’m walking around campus and nobody knows that — in a way — I’m the face of the university.”
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NOTE : Please enter your username and select an organization where your user has an assocation in the USER_ROLE_ORG table. There is NO filtering of the username and organizations you can select on this page and there are NO security checks to verify that the organization you select has an assocation with your user in the database. The organization Id is the surrogate key in the database. For organization type "CMS" enter any number into organization Id.


-
Install DataWinners App
-
On your phone open the Play Store (
) or on older phones the Android Marketplace (
).
-
Search for
DataWinners.
-
Select
DataWinners
and tap
Install.
DataWinnersHNI
-
Get your Questionnaires
- Open the DataWinners app.
- Open DataWinners’s Settings (using the Menu button).
- Tap Username. Enter the email address you use to sign in to Datawinners and tap OK.
- Tap Password. Enter the password you use to sign in to Datawinners and tap OK.
- Go back to the main menu and tap Get Blank Questionnaire.
- Your sign in credentials should be pre-populated. Tap OK.

- A success message will appear. Click OK.
- Tap Fill Blank Questionnaire to start collecting data.


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Captain Phasma:
Hello my name is Captain phasma. I am a Chatbot. To whom do I have the privilege to talk?


Web3d technology makes the product more intuitive on the page so that customers can understand
goods better.
And we run high-quality 3d games on the web side which can be only experienced through the app in
the past.
Based on web3d technology run directly on the browser side of the WebVR, we can publish Interactive
VR content that can be viewed with one click without the need for installation.
Users can experience this technology through various hardware facilities such as mobile phones,
cardboard and oculusVR.
With the massive HTML5 interactive advertising, many brands began to try to use three-dimensional
interaction to meet the needs of creative realization and Multi-dimensional experience.
Html5 interactive advertising based on web3D technology will continue to appear in front of
everyone.
This is a browser-based operation of the new three-dimensional interactive display technology.
Users can use computers, mobile phones, tablet browser client for three-dimensional virtual display
and interaction.
It has a huge advantage over flash and pseudo-3D displays in terms of picture, efficiency and
compatibility.


ROLES AND RESPONSIBILITES OF MENTOR
Mentor must be willing to accept the commitment of time and energy to provide support for a new mentee. A clear understanding of the mentoring process will go a long way towards assuring success. You will need to maintain support and open communication. You will also:
- Intimate contact with the mentee
- Meet mentee at least once in a month
- Be a good listener
- Meet at scheduled times
- Maintain confidentiality
- Give constructive feedback
- Promote mentees skill and creativity
- Share experience based cultural values
- Help the mentee to move towards goal
- Build a professional network for mentee
- Maintain a positive attitude
- Encourage independence
- Create access to resources (Financial & Non - Financial)
- Remember there is most often more than one way to reach a goal. Support the mentee to the best of your ability, but remember the project success or failure of the mentee is in the hands of the mentor.


MTH | Aug 2021 | IISER Pune
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The Classroom, Drive and Search Mail links depend on the mail index.
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Fields and Galois Theory
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Markov Chains and Queuing Models
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|
ZPI_AdminTools
1.0
Mobile Administrator Tools
|
Informations about usage of directory/devie. More...
#include <FileSystem.h>
Public Member Functions | |
| Usage () | |
| Default constructor, zeroing usage informations. | |
Public Attributes | |
| std::string | dir |
| Directory/disc name for usage informations. | |
| double | percent_use |
| Percent use of directory/disc. | |
| uint64 | total |
| Total memory assigned to disc. | |
| uint64 | free |
| Free memory on disc. | |
| uint64 | used |
| Memory used on disc. | |
| uint64 | avail |
| Memory available on disc. | |
| uint64 | files |
| Memory used by files. | |
| uint64 | free_files |
| Memory not used by files. | |
| uint64 | disc_reads |
| Number of disc reads operation. | |
| uint64 | disc_writes |
| Number of disc writes operation. | |
| uint64 | disc_write_bytes |
| Number of bytes writed. | |
| uint64 | disc_read_bytes |
| Number of bytes readed. | |
| uint64 | disc_rtime |
| Time spent on read. | |
| uint64 | disc_wtime |
| Time spent on write. | |
| uint64 | disc_qtime |
| Time spent in queue. | |
| uint64 | disc_time |
| Total time. | |
| uint64 | disc_snaptime |
| Snap time. | |
| double | disc_service_time |
| Disc service time. | |
| double | disc_queue |
| Number of disc queues. | |
Informations about usage of directory/devie.


Module: PrivacyDiffer
- Defined in:
- PrivacyDiffer.rb
Overview
Module for difference testing between privacy policy versions.
Class Attribute Summary collapse
-
.threshold ⇒ Object
Returns the value of attribute threshold.
Class Method Summary collapse
-
.different?(s1, s2) ⇒ true, false
Check for differences.
Class Attribute Details
.threshold ⇒ Object
Returns the value of attribute threshold
8 9 10 |
# File 'PrivacyDiffer.rb', line 8 def threshold @threshold end |
Class Method Details
.different?(s1, s2) ⇒ true, false
Check for differences.
18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
# File 'PrivacyDiffer.rb', line 18 def self.different? s1, s2 # Uses the ruby gem Differ, which encodes differences like this: # Deletions: {-"This text was deleted."} # Insertions: {+"This text was inserted."} # Single Words: {"WordBeforeChange" >> "WordAfterChange"} diff = Differ.diff_by_word(s1, s2).format_as(:ascii) changes = 0 # Counts number of words deleted and inserted. diff.scan(/\{[\+\-]\".*\"\}/).each do |m| changes += m.split.size end # Counts number of single word changes. changes += diff.scan(/\{\"\w*\" >> \"\w*\"\}/).size words = s1.split.size # Calculates the "percentage" of words changed depending on the original number of words. # This is not a valid percentage as it can get up to values of 180. percent_c = (changes.to_f)/(words.to_f)*100 # Return if the percentage is bigger than the threshold. (percent_c >= self.threshold) end |


{% extends 'admin_base.html' %} {% block title %}Make:good - Admin!{% endblock %} {% block content %}
{{ message }}
Hi Cath, this is a functional view of your new CMS. Pretty colours and lined up text to follow!
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| as.data.frame {pomp} | R Documentation |
All pomp model objects can be recast as data frames. The contents of the resulting data frame depend on the nature of the object.
## S3 method for class 'pomp'
as.data.frame(x, ...)
## S3 method for class 'pfilterd_pomp'
as.data.frame(x, ...)
## S3 method for class 'probed_pomp'
as.data.frame(x, ...)
## S3 method for class 'kalmand_pomp'
as.data.frame(x, ...)
## S3 method for class 'bsmcd_pomp'
as.data.frame(x, ...)
## S3 method for class 'pompList'
as.data.frame(x, ...)
## S3 method for class 'pfilterList'
as.data.frame(x, ...)
## S3 method for class 'abcList'
as.data.frame(x, ...)
## S3 method for class 'mif2List'
as.data.frame(x, ...)
## S3 method for class 'pmcmcList'
as.data.frame(x, ...)
## S3 method for class 'wpfilterd_pomp'
as.data.frame(x, ...)
x |
any R object. |
... |
additional arguments to be passed to or from methods. |
When object
is a simple ‘pomp’ object,
as(object,"data.frame")
or as.data.frame(object)
results in a
data frame with the times, observables, states (if known), and
interpolated covariates (if any).
When object
is a ‘pfilterd_pomp’ object,
coercion to a data frame results in a data frame with the same content as for a simple ‘pomp’,
but with conditional log likelihood and effective sample size estimates included, as well as filtering means, prediction means, and prediction variances, if these have been computed.
When object
is a ‘probed_pomp’ object,
coercion to a data frame results in a data frame with the values of the probes computed on the data and on simulations.
When object
is a ‘kalmand_pomp’ object,
coercion to a data frame results in a data frame with prediction means, filter means and forecasts, in addition to the data.
When object
is a ‘bsmcd_pomp’ object,
coercion to a data frame results in a data frame with samples from the prior and posterior distribution.
The .id
variable distinguishes them.
When object
is a ‘wpfilterd_pomp’ object,
coercion to a data frame results in a data frame with the same content as for a simple ‘pomp’,
but with conditional log likelihood and effective sample size estimates included.


JavaScript arrays are used to store multiple values in a single variable.
var cars = ["Saab", "Volvo", "BMW"];
What is an Array?
An array is a special variable, which can hold more than one value at a time. If you have a list of items (a list of car names, for example), storing the cars in single variables could look like this:
vvar car1 = "Saab";
var car2 = "Volvo";
var car3 = "BMW";
However, what if you want to loop through the cars and find a specific one? And what if you had not 3 cars, but 300? The solution is an array! An array can hold many values under a single name, and you can access the values by referring to an index number.
Access the Full Array
With JavaScript, the full array can be accessed by referring to the array name:
var cars = ["Saab", "Volvo", "BMW"];
document.getElementById("demo").innerHTML = cars;
Array Elements Can Be Objects
JavaScript variables can be objects. Arrays are special kinds of objects. Because of this, you can have variables of different types in the same Array. You can have objects in an Array. You can have functions in an Array. You can have arrays in an Array:
myArray[0] = Date.now;
myArray[1] = myFunction;
myArray[2] = myCars;
JavaScript Array Methods
Converting Arrays to Strings
The JavaScript method toString() converts an array to a string of (comma separated) array values.
var fruits = ["Banana", "Orange", "Apple", "Mango"];
document.getElementById("demo").innerHTML = fruits.toString();
Popping and Pushing
When you work with arrays, it is easy to remove elements and add new elements. This is what popping and pushing is: Popping items out of an array, or pushing items into an array.
Popping
The pop() method removes the last element from an array:
var fruits = ["Banana", "Orange", "Apple", "Mango"];
fruits.pop(); // Removes the last element ("Mango") from fruits
Pushing
The push() method adds a new element to an array (at the end):
var fruits = ["Banana", "Orange", "Apple", "Mango"];
fruits.push("Kiwi"); // Adds a new element ("Kiwi") to frui
Changing Elements
Array elements are accessed using their index number:
var fruits = ["Banana", "Orange", "Apple", "Mango"];
fruits[0] = "Kiwi"; // Changes the first element of fruits to "Kiwi"
Slicing an Array
The slice() method slices out a piece of an array into a new array.
This example slices out a part of an array starting from array element 1 ("Orange"):ar fruits = ["Banana", "Orange", "Lemon", "Apple", "Mango"];
var citrus = fruits.slice(1);
ar fruits = ["Banana", "Orange", "Lemon", "Apple", "Mango"];
var citrus = fruits.slice(1);


A transition relation is the "logical" view of an action (or at least a single statement within an action) that modifies state variables.
Each state variable V1, ..., Vn
representing the state before the action is duplicated into a "primed" variable V1', ..., Vn'
representing the state after the action.
The transition relation is then a conjunction of equations defining each post-state Vi'
in terms of the pre-state variables V1,...,Vn
.
An action's verification condition is formulated in terms of its transition relation.


Image Tampering can be defined as manipulating an digital image. Image Tampering detection is the task to identify if the image was tampered or not. Currently we focus on using 4 methods which are described below:
3 Datasets Findit,CASIA-V2 and IEEE Forencis are used
260 tampered receipts and 1740 genuine receipts.
5000 fake images and 7000 pristine images.
451 fake images and 1000 pristine images.
Convolution networks provide good results on detection of tampering but these network require large amount of training data.In this work, a simple method is proposed to address this problem by augmenting data using inpainting and compositing schemes.Domain Adaptation technique is used to reduce domain shift between augmented data and real datasetReults are shown on 2 image tamepring datasets.
(IEEE and CASIAv2)
Images are coverted to 64x64 patches. Using the mask provided by the dataset we determine is the patch was tampered or not. If the tampered region is more than 20% of the patch, it is considered tampered.
The model comprises of 5 conv layers followed by 3 fully connected layers(including output layer)
For detection on augmented and the target dataset, the conv layers and the first fully connected layer are shared. Other layers are forked and classification is provided separatly on both datasets.
1. For each image a patch is taken and is set to 0 using a mask.
2. We are using inpainting algorithms provided by opencv ( cv.INPAINT_TELEA.)
Patch Inpainting: Random Patch is taken with area > 30% of image and is inpainted.
Semantic Inpainting: Very similiar to patch impainting but the mask is already provided to us. Coco dataset is used to get the semantic mask
Feathering: We feather an image over another image. Feathering is carried out by I = α · F + (1 − α) · B. Where F in the foreground image and the B is the background image.
Cues present in one dataset are very different then the one provided by some another dataset. Hence the augmented and the synthetic data can be of different domains. To take in account of discrepancy, domain adaption is performed using Maximum Mean Discrepancy.MMD loss is defined as:
Let the features for image patches obtained from source domain data Xs be X̂s and the target domain Xt be X̂t. Here Φ(x̂) is a RKBF kernel used to convert the features to gaussian to calculate similiarity.
Adam Optimizer is used with weight decay at 0.0005
We use 3 losses. 2 Cross entropy losses for source and targer (L1&L2) and 1 MMD Loss defined above L. Parameter for each loss is λ1:0.3 λ2:0.7 λ3:0.001.
L = λ1*Lcs +λ2*Lct + λ3*LM
Used to detect copy-paste from same document. Patch Match algorithm finds correspondences between small square regions (or patches) of an image. It is extremely robust to rotation. Also it is faster than other methods(due to the random nature of the algorithm). Patch Match works by defining a NNF(nearest neighbour field) f: R2 -> R2 for pixel to an offset. Two regions in image with high correspondence can be concluded to be originated from the same patch. (one patch is copied to another location)
The method tries to detect forgery double jpeg artifacts in an image. It is used to detect Jpeg images that have and were compressed twice with 2 different quantizations , hence this method is used to find CPO(copy paste from other document) and imitation based on forgery.
1. Let us take an image I, if D00 was first lossy compression with q1 as quantization for the first compression.
2. After compression if we tamper it and compress it again with a D01 as your second loss compression with quantization as q2.
Hence we can write a 8x8 double quantized region as:
Upon plotting an histogram of both single quantized and double quantized image. We notice a periodic pattern. This is helpful for estimating the first quantization.
It has been shown that the difference significantly varies between the quantization using q1 and q2 vs quantization using only q2. (See figure).
1. Let Q1 and Q2 quantization steps used in the first and second compression.
2. To estimate Q1, minimize the difference between 2 histograms of DCT coefficients, one created from the image h(x) and one predicted by using Q1 and Q2. Lets call it p(x).
3. Double jpeg artifacts cause a periodic shift in the DCT coefficient of the doubled quantized region with a period Q1/gcd(Q1, Q2). Let the periodic function be n(x).
4. Estimate the histogram as a mixture model of single compressed region (H1) and double compressed regions (H0). Hence p(x; Q1 , α) = α · n(x; Q1 ) · h̃(x | H1) + (1 − α) · h̃(x | H1)
5. To estimate Q1, minimize the difference between 2 histogram of DCT coefficients.
6. h̃(x|H1) is histogram calculated by using only Q2 , h̃(x|H0) is calculated as h̃(x|H0 ) = n(x, Q1) · h̃(x|H1)
7. Estimation of Q1 using L2 loss : Q̂1 = argmin sum([h(x) − p(x; Q1 , α )])2
8. After estimating Q1 the probability of a 8x8 block being double compressed can be written as "p". "p" is given by joint distribution over all coefficients
Feature-based algorithm to detect image splicings without any prior information. Splicing and host images are assumed to be characterized by different parameters.
1. For splice detection, the high level noise is more important than the image content.
2. Linear high pass filters is used to create “residue”.
3. Co-occurrence matrix is calculated for residue. This matrix is used as features for the gaussian mixture model/SVM.
4. This co-occurrence matrix is then used as a feature for GMM.
5. Using expectation-maximization we can cluster pixels into 2 classes, forged or background.
| F1 Score | ICPR Challenge | Casia V2 | IEEE Forensic |
|---|---|---|---|
| Yashas | 0.32 | 0.76 | 0.86 |
| Fusion | - | 0.43 | 0.89 |
| CMFD | 0.36 | 0.42 | 0.55 |
| Splicebuster | 0.65 | 0.53 | 0.72 |
| Fusion + CMFD + Splicebuster | 0.95 | 0.67 | 0.87 |
We carried out the experiments multiple number of times. On training the patches, we are able to reach a decent amout of accuracy. But during testing we have there are too many false positives.


"When one tugs at a single thing in nature, he finds it attached to the rest of the world." - John Muir
Since I am an avid traveler and enjoy being in the outdoors, I've decided to make a website that documents my travels with pictures and other informtion. Eventually, I will add in a blog section, center the slideshow, resize/add more photos, and add in a Google Maps API to show the different location points I have been to.


Introduction
This website serves as a portfolio for the work I realised during my fifth year at INSA Toulouse. It not only lists all the different projects I took
part in, but also serves as a way to reflect on the knowledge and skills I have acquired. I followed the Innovative Smart Systems (ISS) option,
which aims to mix students of three different scientific backgrounds to tackle problems from different angles, these backgrounds being either
Computer Science and Networks, Automatics and Electronics, or Physics. I came through the Computer Science route, and made sure to learn as much as
possible from my comrads.
This portfolio is organised by course modules, with each over-arching course modules comprised of multiple courses. The different course modules can be accessed
through the top left dropdown menu for ease of navigation. I'll be going over each course in three parts: a descriptive part to relate the type of work
I had to do, a technical part describing the problems that work posed and the solutions I found, and finaly an analytical part to reflect on what I took
away from this experience.
On this page, you'll find a brief presentation of who I am, my Curriculum Vitae and a table summarizing the content of all the course units. Let's get to it!
Who am I?
My name is Louis Chauvet-Smart. I was born in 1998 and have French-British citizenship.
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I joined INSA Toulouse in first year, right after getting a scientific Baccalauréat. After a general scientific first year, studying mathematics and computer science but also chemistry, physics and electronics, I chose to join the Mathematics and Computer Science second year. From there on, I decided to delve deeper into computer science, going for a Computer Science and Networks third and fourth year, finally choosing the ISS PTP for my final year.
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During my third year, I was president of INSA Toulouse's theatre group, giving me a creative outlet and a unique way of improving my management skills.
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During My fourth Year, I spent a semester studying at the Pohang Institute of Science and Technology (POSTECH) in Pohang, South Korea, getting to work with incredibly talented people from all over the world.
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For my fourth year internship, I developped an online training platform for the project management firm Strategic Project Management International (SPMI), available at this link.
Résumé
(Pardon the french)
Reach me!
Course Contents
The ISS program is made up of 6 course modules of varying sizes. This table will detail the content of every course. It should be notes that some courses' schedule were particularly impacted by the pandemic, and had their weight in the semester adjusted.
Name |
Supervisor |
Code |
Hours |
|---|---|---|---|
| Smart Devices | Jérémie Grisolia | I5SSEN1 | 61.75 |
| Microcontrollers and Open Source Hardware (MOSH) | Jérémie Grisolia, Sylvaine Lohez | 25 | |
| CAD, manufactiuring and integration of nano-technology sensors | Jérémie Grisolia, Sébastien Lachaize, Xavier Hébras | 15.45 | |
| Analog electronics labs | Jérémie Grisolia | 2.5 | |
| AIME Energy | Jérémie Grisolia | 10.25 | |
| Communication | Daniela Dragomirescu | I5SSCM11 | 58.75 |
| Protocols for connected objects | Slim Abdellatif, Daniela Dragomirescu, Etienne Sicard | 33.25 | |
| Energy for connected objects | Jean-Marie Dilhac | 7.5 | |
| Security for network of connected objects | Eric Alata, Vincent Nicomette | 7.5 | |
| Emerging networks | Slim Abdellatif | 10.5 | |
| Middleware & Service | Thierry Monteil | I5SSIL11 | 62 |
| Service Oriented Architecture | Nawal Guermouche | 31 | |
| Middleware for IoT | Thierry Monteil | 14.75 | |
| Cloud & autonomic management | Sami Yangui | 16.25 | |
| Analysis and data processing, business applications | Nawal Guermouche | I5SSIF11 | 37.5 |
| Software Engineering | Nawal Guermouche | 6.25 | |
| Semantic data | Nathalie Hernandez | 8 | |
| Big data | Gilles Tredan | 15 | |
| Hackaton & Seminaries | Thierry Monteil | 8.25 | |
| Innovative Project | Vincent Migliore | I5SSRS11 | 75.75 |
| Innovative project | Thierry Monteil | 37.5 | |
| Portfolio | Thierry Monteil | 8.25 | |
| English | Joseph Shea | 30 | |
| Innovation & Humanity | Hélène Hereng | I5SSGE11 | 75 |
| Innovation | Eric Jolivet | 25 | |
| Creativity methods (TRIZ) | Stéphane Negny | 10 | |
| Team Management, Social Acceptability | Nicole Lacube, Marie-Jo Tragin | 20 | |
| Sports | Véronique Gros, Sylvie Rossard | 21.5 | |
| Individual professionnal development | Thierry Dupont | 8.5 |


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